More stories

  • in

    Southern hemisphere ceratosaurs evolved feeding mechanics paralleling those of Northern hemisphere tyrannosaurids

    Abstract

    Ceratosaurs (Ceratosauria), including Ceratosaurus and derived abelisaurids such as Carnotaurus, were the dominant large-bodied predators in Cretaceous ecosystems of the Southern Hemisphere, paralleling the ecological role of tyrannosaurids in the Cretaceous Northern Hemisphere. They are known for their short, deep skulls and prominent cranial ornamentation. These traits have often been interpreted as potential adaptations for intraspecific combat, sexual display, and as a buttress during feeding-induced mechanical stresses. While these adaptations have often been discussed, they have been subject to little mechanical testing, particularly using 3D models due to previous limitations in software. Here we used a mixture of computed tomography (CT) scanning and surface scanning to create accurate 3D models of four ceratosaurian skulls: Ceratosaurus, Masiakasaurus, Carnotaurus, and Majungasaurus. Using finite element analysis, we assessed the mechanical performance of the skull during feeding, notably including the small-bodied noasaurid Masiakasaurus. Our results show that despite their compact shape, large abelisaurs do not exhibit low stress under bite loading. Cranial ornamentation also fails to act as a structural buttress. Additionally, functional analyses of Masiakasaurus combined with its procumbent teeth imply that it was suited for grasping small prey, suggesting niche partitioning with the large sympatric abelisaur Majungasaurus. These findings challenge prevailing assumptions about ceratosaur skull strength and suggest that large abelisaurs fulfilled ecological roles comparable to large tyrannosaurids.

    IntroductionCeratosauria is a taxonomically and morphologically diverse clade of basal, non-tetanuran theropod dinosaurs distributed across the Late Jurassic and Cretaceous1. Although theropods are broadly known for achieving large body sizes and for their ecological dominance as bipedal carnivores2,3,4,5, the ceratosaurs represent an under-researched evolutionary pathway within this group. Basal ceratosaurs, such as the Kimmeridgian Late Jurassic Elaphrosaurus, were relatively lightly built6, but by the Maastrichtian Late Cretaceous the group produced large-bodied predators such as Carnotaurus sastrei, which may have exceeded 1,700 kg in body mass7,8,9. The group is commonly associated with the Southern Hemisphere10,11,12, in contrast to tyrannosaurids which were the most prevalent carnivorous dinosaurs of the Cretaceous Northern Hemisphere13,14.Unlike many other large theropods, ceratosaurs evolved a combination of unusual cranial features, including rugose ornamentation, dorsoventrally deepened snouts, and in some taxa, extremely short skulls12. Carnotaurus is commonly noted for its prominent cranial horns15, and Ceratosaurus similarly possessed distinctive horns above the eyes and a midline nasal crest16. Majungasaurus possessed tall, rugose nasals, struts within sinuses, and a horn-like projection of the frontal17. Various explanations have been offered for the functional significance of these traits, including intraspecific combat15,18 and species recognition19.A notable neoceratosaur is Masiakasaurus knopfleri, a small-bodied noasaur from the Maastrichtian of Madagascar with a body mass under 50 kg11,20. Despite its relatively small size, Masiakasaurus possessed a highly modified skull and dentition, including forward-projecting teeth at the anterior of the jaw, possibly indicating specialized feeding behaviors and biomechanics21. The inclusion of Masiakasaurus offers an opportunity to evaluate how skull mechanics and stress distribution vary across a broad range of ceratosaur body sizes and skull morphologies, as well as the biomechanical implications of procumbent teeth in a diapsid.Body size is a key trait affecting feeding mechanics. Larger body size may facilitate higher bite forces due to greater absolute adductor muscle mass but also impose structural constraints that can influence cranial stresses22,23,24. The effects of body size on cranial function remain poorly understood in extinct clades, particularly among ceratosaurs. Large ceratosaurian taxa tend to exhibit deep, robust skulls, whereas smaller taxa display longer, more gracile morphologies (Fig. 1). These size-related changes in skull shape differ from those seen in other large theropod clades: tyrannosaurids reinforce anterior skull regions25, while spinosaurs elongate their rostra26,27, reflecting distinct biomechanical strategies associated with extreme size. Ceratosaurs were also temporally and phylogenetically distinct from other large South American theropods, including Jurassic megalosauroids such as Asfaltovenator28 and Piatnitzkysaurus29, as well as Late Cretaceous megaraptorids, e.g., Joaquinraptor30. This context highlights that the cranial modifications observed in ceratosaurs represent a lineage-specific response to increasing body size rather than a universal pattern among contemporaneous large predators. Fig. 1Simplified Ceratosauria cladogram based on Delcourt12. (A) Carnotaurus; (B) Majungasaurus; (C) Masiakasaurus; (D) Ceratosaurus. 3D models not to scale.Full size imageAdvances in digital modelling techniques, such as surface scanning and 3D finite element analysis (FEA), now allows for the investigation of these questions using 3D reconstructions of fossil skulls (Fig. 2)31,32,33,34. FEA can simulate the mechanical response of a skull to loading, providing estimates of stress and strain as proxies for structural performance. Such studies have increasingly informed our understanding of feeding adaptations in extinct taxa but have yet to focus on ceratosaurs as a lineage.Fig. 2Scanning and FEA pipeline using Masiakasaurus replica skull. (A) Masiaksaurus skull mount at FMNH; (B) surface scan of Masiakasaurus skull in Artec Studio Professional 14; (C) finalized STL file of Masiakasaurus skull in Geomagic Wrap; (D) Masiakasaurus FE model in Abaqus/CAE.Full size imageHere we apply 3D FEA to a series of ceratosaurian taxa spanning a wide range of skull sizes and morphologies: from the gracile, possibly-specialized Masiakasaurus to the deep-skulled, large-bodied Carnotaurus. Our aim is to evaluate how divergent skull morphologies influence cranial stress, mandibular stress, and feeding performance within Ceratosauria using a diverse sample of taxa.We test the following main hypotheses:
    Hypothesis 1
    Skull stress decreases as ceratosaurs increase in size due to muscle volume.

    Hypothesis 2
    Skull stress remains constant or increases in large-bodied ceratosaurs due to robust skull architecture in large abelisaurs that permit greater muscle force despite increasing size.
    By focusing exclusively on ceratosaurs and incorporating high-resolution digital biomechanical models, this study seeks to provide new insights into how skull and tooth anatomy interact in shaping feeding adaptations in this distinctive clade of predatory dinosaurs.ResultsCranial stress patterns and plotsMajungasaurus experiences the highest cranial stress, followed by Carnotaurus (Figs. 3 and 4). These stresses are most noticeable at the quadrate and quadratojugal due to the positioning of our constraints, though the stresses in Carnotaurus wrap forward onto the jugal. Ceratosaurus similarly experiences higher stresses at the jugal, though overall cranial stresses are not as high as those in the abelisaurs. Masiakasaurus overall experiences the lowest cranial stresses, with the stresses most noticeable at its teeth.Fig. 3Ceratosaur FE results. (A) Carnotaurus; (B) Majungasaurus; (C) Masiakasaurus; (D) Ceratosaurus. Lower skull stresses are indicated by cooler colors, i.e., blue and green. Scale bars represent 25 cm.Full size imageFig. 4Ceratosaur skull lengths plotted against mean von Mises stress for both cranial and mandibular FE models. Silhouette images from PhyloPic by Scott Hartman.Full size imageCranial ornamentation appears to have little effect on absorbing cranial stresses. The horns in Carnotaurus are not mechanically affected by stresses and constraints applied to the quadrate and teeth; likewise, the bony struts of the frontal horn in Majungasaurus are unaffected. The nasal horn in Ceratosaurus appears to offer no functional advantage in feeding; however, the small hornlets above the orbits display moderate stresses.Mandible stress patterns and plotsAs in the cranial results, Majungasaurus experienced the highest mandibular stresses, which are noticeable throughout the FE model (Fig. 3). Similarly, Carnotaurus experienced high mandibular stress, in particular near the anterior end of the dentary. The lower stresses experienced by Masiakasaurus and Ceratosaurus are comparable to each other. Masiakasaurus experienced the lowest overall stresses; the dentary appears less susceptible to breakage than other ceratosaurs in the dataset when forces are applied to the anterior teeth. Overall, there is a clear trend of increasing skull stresses with increasing skull size (Fig. 4), which is particularly notable in the two abelisaurids.
    Masiakasaurus biting scenariosThe small-bodied noasaur Masiakasaurus was further tested by applying forces to the midline teeth and posterior teeth to further elucidate the biomechanical implications of procumbent teeth (Fig. 5). We found that when forces were applied only at the front teeth, stresses acting at the mandible were decreased overall, though the quadrate and jugal are more highly stressed. Forces applied at the midline and posterior teeth resulted in much higher stresses acting on the mandible. This may be due to procumbent teeth functioning to isolate or reduce load transfer to the rest of the mandible (see Discussion).Fig. 5Comparison of von Mises stress distributions for different Masiakasaurus biting scenarios. (A) Forces applied to the anterior (procumbent) teeth; (B) forces applied to the midline teeth; (C) forces applied to the posterior teeth. Note the decreased stresses along the mandible in (A).Full size imageDiscussionDespite their distinct cranial morphologies and phylogenetic separation from other theropod lineages, ceratosaurs overall do not appear to exhibit unique biomechanical adaptations for stress resistance during feeding. Cranial ornamentation in these taxa, such as the prominent nasal horn of Ceratosaurus, does not appear to buttress the skull against feeding-induced stress, though the small horns above the orbits, formed by lacrimal bones, do appear stressed during feeding scenarios. Finite element analyses reveal von Mises stress magnitudes in Ceratosaurus that are comparable to similarly sized theropods lacking such ornamentation, suggesting that these cranial features primarily served non-feeding functions, such as species recognition or intraspecific display. The two large abelisaurs in our dataset, Carnotaurus and Majunagasaurus, appear to utilize their short, broad skulls to better absorb high feeding stresses, which is a trait shared by large tyrannosaurids.Our results show that high von Mises stresses in ceratosaur skulls are comparable to those experienced by tyrannosaurids, as the magnitude of stresses increases in large abelisaurids, which has previously been noted in large tyrannosaurids24,35,36,37,38. Previous interpretations of Carnotaurus estimated low bite forces and rapid biting movements15,39. Other interpretations have argued that it possessed a relatively high bite force of ~ 7,000 Newtons40, and at least twice the bite force of the American alligator, which likely possesses the strongest bite of any extant tetrapod41.The parallel evolution of large-bodied ceratosaurs in Gondwana and tyrannosaurids in Laurasia represents a compelling case of functional convergence within non-avian dinosaurs. Despite their disparate cranial morphologies and independent evolutionary histories, both lineages evolved skulls capable of withstanding high feeding stresses as they achieved gigantic size, implying that similar biomechanical constraints shaped apex predation in geographically isolated ecosystems. This pattern aligns with broader examples of convergent ecological expansion in theropods, such as the repeated evolution of deep, reinforced rostra in large-bodied predatory lineages and the niche partitioning documented among large tyrannosaurids and alioramins38,42. Within Ceratosauria itself, previous studies have noted iterative trends toward cranial deepening, reduction of forelimbs, and increasingly specialized feeding morphologies in derived abelisaurids1,43, paralleling structural amplifications seen in later-branching tyrannosaurids. Together with our FE results, these recurring evolutionary trajectories across multiple theropod clades suggest that the demands of subduing large prey frequently channel lineages toward similar biomechanical solutions, even when starting from contrasting anatomical templates.Large abelisaurids including Carnotaurus and Majungasaurus appear to have occupied a biomechanical and ecological space analogous to that of large tyrannosaurids. Like in tyrannosaurids, larger abelisaur skulls appear to be more highly stressed than in ancestral ceratosaur taxa such as Ceratosaurus. Though the ontogeny of Carnotaurus and other large abelisaurs remain relatively unknown, it may be the case as in tyrannosaurids that juvenile forms of derived taxa fed similarly to their adult ancestors37. However, these interpretations should be considered cautiously due to the small sample size of complete abelisaur skulls suitable for 3D FE testing.Cerroni et al.43. argued that the flexibility of Carnotaurus’s mandible may have allowed some degree of kinesis; however, the stiff cranium would prevent flexibility. Our results may reaffirm this work; Carnotaurus and especially Majungasaurus experience the highest mandible stresses, while cranial stresses were noticeably lower, particularly at the anterior of Majungasaurus’s cranium. In general, cranial kinesis is regarded as difficult to prove in any dinosaur species and was likely absent in most44. Additionally, theropod mandible stress magnitudes are almost always higher than their crania due to the size and structural complexity of animal crania compared to mandibles24.Larger ceratosaurs exhibit proportionally higher von Mises stresses than smaller taxa. This pattern aligns with expectations from biomechanical scaling theory. Bite forces are estimated from the summed cross-sectional area of the adductor chamber (PCSA), which scales with the square of linear dimensions, whereas skull cross-sectional area resisting bending scales similarly; however, if skulls were perfectly geometrically similar, stress (force/area) should remain roughly constant across size. Stresses increasing with size indicate that the skulls are not geometrically similar, and that changes in shape modulate how muscle forces are transmitted. Larger abelisaurids such as Carnotaurus and Majungasaurus possess short, deep crania that are likely to improve resistance to dorsoventral bending but also concentrate stresses, while smaller taxa like Ceratosaurus retain elongate skulls that dissipate loads over greater distances. The biomechanical patterns in this study correspond closely with the accelerated evolutionary rates of cranial characters reported for derived abelisaurids45. Their results suggest that the rapid restructuring of the abelisaurid skull, particularly the shift toward short, deep, highly modified facial regions occurred in tandem with the functional changes we document, as these morphologies increasingly shaped how feeding forces were distributed in large-bodied taxa.These findings also bear on previous interpretations of Majungasaurus as a “bite-and-hold” predator17. Such feeding behavior would impose sustained loads on the skull during prey handling and would be facilitated by a stout cranial shape capable of absorbing high stresses without structural failure. Our FE results are consistent with this: Majungasaurus exhibits relatively lower cranial stresses at its anterior than expected given its size, suggesting its skull was mechanically robust under sustained loading, while its mandible shows very high stresses consistent with resisting prey struggling. These findings support the functional plausibility of bite-and-hold feeding in Majungasaurus, though further work on muscle reconstruction and puncture mechanics would be required to test this explicitly. Masiakasaurus is commonly noted for its procumbent anterior dentition, gracile skull, and relatively small body size. Unlike the typical abelisaur skull, which is short and deep, Masiakasaurus’s skull is long and low20. Our FE results support interpretations of a generalist feeding ecology that did not require powerful biting or force transmission and likely focused on small vertebrates and invertebrates, as noted in the related genus Vespersaurus46. Because procumbent teeth project forward, they direct forces more axially along their own long axes, producing lower bending moments at the alveolar margin. More posterior teeth, being upright, transmit bite forces more directly into the mandible, causing higher bending and shear stresses throughout the jaw (Fig. 5). Thus, procumbent teeth are likely specialized for low-stress prey capture or nipping, rather than for generating high bite forces. These functional interpretations also suggest predictions for isolated abelisaurid teeth, which are commonly recovered in Late Cretaceous deposits47. In taxa with gracile, procumbent anterior dentition such as Masiakasaurus, tooth morphology should reflect low bending loads, manifesting as slender crowns with reduced apicobasal wear and minimal chipping. In contrast, the more upright posterior teeth, and those of large-bodied abelisaurids generally, would be expected to show higher frequencies of wear facets, enamel spalling, or microfracturing associated with resisting greater bending and shear forces during prey handling.Given the sympatric relationship between Masiakasaurus and Majungasaurus, it is likely that noasaurs maintained small, slender physiologies into maturity to avoid competition with large abelisaurs. Niche partitioning has been noted in other theropod clades previously, including the alioramins and their larger relatives, e.g., Alioramus and Tarbosaurus38,42. However, the procumbent teeth which are characteristic of Masiakasaurus have not been described in any tyrannosaurid taxa; this may suggest Masiakasaurus utilized these teeth to effectively grasp food items in nutrient or resource-poor environments of Late Cretaceous Madagascar.ConclusionCeratosaurs display a range of biomechanical adaptations to feeding efficiency. As body size increases, abelisaur skulls exhibit higher absolute von Mises stresses, paralleling the pattern observed in tyrannosaurids, despite their independent evolutionary histories and distinct cranial morphologies. This suggests that both lineages experienced similar biomechanical constraints at gigantic size. In large abelisaurs such as Majungasaurus, elevated stresses coincide with cranial shapes that appear well suited to resisting feeding-induced loads, supporting interpretations of relatively high bite forces and possibly a “bite-and-hold” feeding strategy. The small noasaur Masiakasaurus, in contrast, appears to have used its procumbent teeth and low force transmission to capture small vertebrates, invertebrates, or other available resources. Ceratosaurus may have derived minor cranial support from its lacrimal horns, though its prominent nasal horn likely functioned primarily in display. Overall, our results indicate that abelisaurs converged on the biomechanical and ecological roles occupied by tyrannosaurids in the Northern Hemisphere, with both clades evolving skulls capable of tolerating high feeding stresses as they achieved large size.Materials and methodsInstitutional abbreviationsBYUVP: Brigham Young University Museum of Paleontology; DDM: Dinosaur Discovery Museum; FMNH: Field Museum of Natural History; MACN-Pv: Museo Argentino de Ciencias Naturales “Bernardino Rivadavia”; UA: University of Antananarivo, Madagascar.Ceratosaur taxonomy and samplingThe earliest ceratosaur representative, Saltriovenator, dates to the Sinemurian Early Jurassic of Italy (199 Ma)48. The clade survived to the Maastrichtian end Cretaceous (66 Ma), where the Madagascan taxa Majungasaurus and Masiakasaurus have been recovered49. Ceratosaurs are generally recognized for their robust, highly ornamented yet short skulls and extremely reduced forelimbs. They are primarily found in the Southern Hemisphere though not exclusively12,50. Ceratosaurus is the most primitive taxon examined in this study and is characterized by its prominent, thin nasal horn which may have functioned for display and/or intraspecific combat51,52,53, as well as unusually fast growth54 and elongated, irregularly formed osteoderms along the midline of its body55.Previous biomechanical studies concerning Carnotaurus have deemed it capable of quick but relatively weak bites, which are critical for capturing small prey15,39. Therrien et al.41. argued that Carnotaurus possessed a bite force twice that of the American alligator, which has one of the highest bite forces in extant species, and it would have been adept at delivering slashing wounds to large prey. Novas18 argued that the well-developed postorbital flanges encircling the orbit in Carnotaurus may have dimmed potential wounds to the eye and head, whereas Cerroni et al.43. assessed the potential flexibility of the skull and determined that any flexibility would be limited to the mandible, as the thickened skull roof and ossification of several cranial joints suggests little or no cranial kinesis.Noasaur feeding biology has remained largely understudied due to lack of skull material. Barbosa et al.46. examined an isolated tooth and two pedal unguals of Vespersaurus paranaensis using 3D FEA and concluded it would have functioned as a generalist feeder preferring small prey and carcasses. This is the first biomechanical study of a 3D noasaur skull. Ceratosaurus, Masiakasaurus, Carnotaurus, and Majungasaurus were included in this study (Fig. 1; Table 1).Table 1 Skull lengths and body mass estimates for each taxon. Skull lengths were measured in MeshLab 2022.02 and masses were referenced from the literature.Full size table3D imagingWe measured skull lengths in MeshLab 2022.02 to better understand possible relationships between size and skull stresses. 3D models originated from both computed tomography (CT) scanning and blue light surface scanning; Carnotaurus is a CT-derived model of the original fossil, while the rest are replicas (Table 1; Table S1).The Masiakasaurus skull used in this study is based on a composite cast housed at FMNH. The original fossil material comprises a partial right maxilla (FMNH PR 2183) and a partial dentary (UA 8680). All remaining cranial and mandibular regions of the cast were reconstructed to restore overall skull shape, based on mirrored copies of preserved elements and comparative morphology from closely related noasaurids described by Sampson et al.20. ; hence, the model is a hypothesis of what a complete, non-deformed specimen would resemble.The Carnotaurus model was segmented from CT data based on the original skull material (MACN-Pv 894). The holotype was CT-scanned using a CT 64 Ingenuity Core medical tomographer, with the skull and left jaw scanned separately. The slice thickness of both scans was about 0.62 mm and scan energy parameters for the skull were 119 mA and 120 kV, and for the lower jaw were 79 mA and 120 kV.Ceratosaurus was surface scanned at the DDM. The DDM cast is based on BYU specimen 12,893, supplemented with comparative material from the larger Ceratosaurus specimens at the Smithsonian National Museum of Natural History and Cleveland Museum of Natural History to complete missing elements; however, the skull material is entirely based on the BYU specimen. The Majungasaurus replica was scanned at the FMNH. It is composed of the cranium with a detached mandible, which made surface scanning easier as the mandible did not obscure the ventral portion of the cranium.Model editingSurface scanned models were created in Artec Studio 14 Professional. The scans were captured at 7–8 frames per second, with the ‘real-time fusion’ option enabled. Crania and mandibles were all scanned separately whenever possible and created as separate 3D object files to avoid large file sizes, since these can cause software slowdown or crashes. Surface scans were oriented together by selecting coordinates and then merging into a single object. Stray pixels and frames with maximum error values above 0.3 were deleted. We applied Global Registration to convert all one-frame surfaces to a single coordinate system using information on the mutual position of each surface pair and then selected ‘Sharp Fusion’ to create a polygonal 3D model, which solidifies the captured and processed frames into an STL file. ‘Sharp Fusion’ best preserves fine details of the scans, including small teeth and rugose bone textures which are particularly common in abelisauroids like Majungasaurus. Lastly, we used the small-object filter to clean the model of floating pixels and the fix holes function to fill any open areas, as the model must be watertight for 3D meshing to proceed without errors (Fig. 2).Once all models were finalized in Geomagic Studio 12, the model surface areas, numbers of triangles, elements, and the volume were calculated and recorded for each model (Table S1, Table S2).Finite element analysesAll models were meshed using HyperMesh (Altair) software (https://altair.com/hypermesh). Element size was set to 10 mm, and in the Tetramesh parameters sub-panel, we selected for optimized mesh quality and for the mesh speed to be gradual. Once the model was meshed successfully, we applied the appropriate material properties to the meshed models. The bone properties were assigned based on crocodilian skull bone: Young’s modulus of 15,000 MPa and Poisson’s ratio of 0.2956,57 for each theropod dinosaur given the close evolutionary relationship between crocodilians and dinosaurs. No sutures were modeled; dentine properties were also not modeled, as they contribute minimally to stress distribution in comparative analyses58.Six total constraint nodes were applied to the quadrate of each cranium and the articular of each mandible to prevent rigid body motion of the models during loading. To achieve this, one node at each location was constrained in a single degree of freedom (DOF) along the X, Y, or Z axis, collectively eliminating translation and rotation while still allowing deformation. Three additional constraint nodes were applied to two premaxillary teeth on each side of the cranium and mandible to simulate contact with prey during a bite. For Masiakasaurus, we additionally conducted FE tests in which bite forces were applied separately to the midline, and posterior teeth to assess how bite point location influenced stress distribution across the skull and elucidate the possible impact of procumbent teeth. Once the mesh was imported into Abaqus/CAE (https://www.3ds.com/products/simulia/abaqus/cae), we applied adductor muscle forces to the models to accurately assess the effects of muscle loading on the skull during a feeding simulation. Locations of muscle insertions were approximated from Holliday59, Rowe & Snively35, and direct study of the specimens. Muscle forces for all theropods were scaled from adult Tyrannosaurus FMNH PR 2081 using the subtemporal fenestra method outlined in Sakamoto60 (Table S3). This was done by measuring the dimensions of the subtemporal fenestra using ImageJ and multiplying the surface area by the isometric muscle tension of 31.5 N/cm2. This method functions as a reliable proxy across amniote clades, and no theropod dinosaur taxa appear to be outliers61.We generated von Mises stress data for each theropod dinosaur cranial and mandibular model. 3D finite element stress maps were generated for each 3D model analyzed, with von Mises stress limits ranging from 0 to 25 MegaPascals in the display figures. Mesh-weighted arithmetic mean (MWAM) values were calculated using RStudio for each theropod specimen to reduce possible discrepancies between CT-derived models and surface scan-derived models and account for element volume differences between models62,63,64. Rowe & Rayfield34 concluded that 3D FE models with a high degree of editing applied prior to meshing tend to output relatively high von Mises stress and maximum principal strain relative to un-modified models. Mesh-weighted von Mises stress data was compiled and compared for all skulls in a phylogenetic context to visualize the effects of large skulls on feeding-induced stresses (Fig. 3). Given that our dataset includes only four taxa, formal phylogenetic generalized least squares (PGLS) regression was not attempted, as such analyzes are statistically underpowered and would yield unstable estimates of phylogenetic signal. Instead, we present von Mises stress values quantitatively and descriptively within a phylogenetic framework.

    Data availability

    FE files available upon request from the corresponding author, Andre J. Rowe ([email protected]).
    ReferencesCarrano, M. T. & Sampson, S. D. The phylogeny of ceratosauria (Dinosauria: Theropoda). J. Syst. Paleontol. 6, 183–236 (2008).Article 

    Google Scholar 
    Hone, D. W. E. & Benton, M. J. The evolution of large size: how does cope’s rule work? Trends Ecol. Evol. 20, 4–6 (2005).Article 
    PubMed 

    Google Scholar 
    Hone, D. W. E., Keesey, T. M., Pisani, D. & Purvis, A. Macroevolutionary trends in the dinosauria: cope’s rule. J. Evol. Biol. 18, 587–595 (2005).Article 
    CAS 
    PubMed 

    Google Scholar 
    Benson, R. B. J. et al. Rates of dinosaur body mass evolution indicate 170 million years of sustained ecological innovation on the avian stem lineage. PLoS Biol. 12, e1001853 (2014).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Benson, R. B. J., Hunt, G., Carrano, M. T. & Campione, N. Cope’s rule and the adaptive landscape of dinosaur body size evolution. Palaeontology 61, 13–48 (2018).Article 

    Google Scholar 
    Rauhut, O. W. M. & Carrano, M. T. The theropod dinosaur Elaphrosaurus bambergi Janensch, 1920, from the late jurassic of Tendaguru, Tanzania. Zool. J. Linn. Soc. 178, 546–610 (2016).Article 

    Google Scholar 
    Bonaparte, J. F., Novas, F. E. & Coria., R. A. Carnotaurus Sastrei Bonaparte, the horned, lightly built carnosaur from the middle cretaceous of patagonia. Contrib. Sci. 416, 1–41 (1990).Article 

    Google Scholar 
    Therrien, F. & Henderson, D. M. My theropod is bigger than yours … or not: estimating body size from skull length in theropods. J. Vertebr. Paleontol. 27, 108–115 (2007).Article 

    Google Scholar 
    Cerroni, M. A. & Paulina-Carabajal, A. Novel information on the endocranial morphology of the abelisaurid theropod Carnotaurus Sastrei. C.R. Palevol. 18, 985–995 (2019).Article 

    Google Scholar 
    Bonaparte, J. F. The Gondwanian theropod families abelisauridae and noasauridae. Hist. Biol. 5, 1–25 (1991).Article 

    Google Scholar 
    Grillo, O. N. & Delcourt, R. Allometry and body length of abelisauroid theropods: Pycnonemosaurus Nevesi is the new King. Cretac. Res. 69, 71–89 (2017).Article 

    Google Scholar 
    Delcourt, R. Ceratosaur palaeobiology: new insights on evolution and ecology of the Southern rulers. Sci. Rep. 8, 9730 (2018).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Sampson, S. D. & Loewen, M. A. Tyrannosaurus Rex from the upper cretaceous (Maastrichtian) North Horn formation of utah: biogeographic and paleoecologic implications. J. Vertebr. Paleontol. 25 (2), 469–472 (2005).Article 

    Google Scholar 
    Brusatte, S. L., Averianov, A., Sues, H. D., Muir, A. & Butler, I. B. New tyrannosaur from the mid-Cretaceous of Uzbekistan clarifies evolution of giant body sizes and advanced senses in tyrant dinosaurs. Proc. Natl. Acad. Sci. 113, 3447–3452 (2016).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Mazzetta, G. V., Fariña, R. A. & Vizcaíno, S. F. On the palaeobiology of the South American horned theropod Carnotaurus Sastrei Bonaparte. Gaia 18, 185–192 (1998).
    Google Scholar 
    Madsen, J. H. Jr & Welles, S. P. Ceratosaurus (Dinosauria, Theropoda): a revised osteology. Utah Geological Survey, Miscellaneous Publication, Salt Lake City, 2, 1–80 (2000). Sampson, S. D. & Witmer, L. M. Craniofacial anatomy of Majungasaurus crenatissimus (Theropoda: Abelisauridae) from the late cretaceous of Madagascar. J. Vertebr. Paleontol. 27, 32–104 (2007).Article 

    Google Scholar 
    Novas, F. E. The Age of Dinosaurs in South America. 450 (Indiana University Press, Bloomington & Indianapolis, 2009). Pereyra, E. E. S., Pérez, D. E. & Méndez, A. H. Macroevolutionary trends in ceratosauria body size: insights of phylogenetic comparative methods. BMC Ecol. Evo. 25, 32 (2025).Article 

    Google Scholar 
    Sampson, S. D., Carrano, M. T. & Forster, C. A. A bizarre predatory dinosaur from the late cretaceous of Madagascar. Nature 409, 504–506 (2001).Article 
    CAS 
    PubMed 

    Google Scholar 
    Carrano, M. T., Sampson, S. D. & Forster, C. A. The osteology of Masiakasaurus knopfleri, a small abelisauroid (Dinosauria: Theropoda) from the late cretaceous of Madagascar. J. Vertebr. Paleontol. 22, 510–534 (2002).Article 

    Google Scholar 
    Erickson, G. M., Lappin, A. K. & Vliet, K. A. The ontogeny of bite-force performance in American alligator (Alligator mississippiensis). J. Zool. 260, 317–327 (2003).Article 

    Google Scholar 
    Deeming, D. C. Inter-relationships among body mass, body dimensions, jaw musculature and bite force in reptiles. J. Zool. 318, 23–33 (2022).Article 

    Google Scholar 
    Rowe, A. J. & Rayfield, E. J. Carnivorous dinosaur lineages adopt different skull performances at gigantic size. Curr. Biol. 35, 3664–3673e3 (2025).Article 
    CAS 
    PubMed 

    Google Scholar 
    Molnar, R. E. The cranial morphology of tyrannosaurus Rex. Palaeontographica Abteilung Band. A217 Lieferung, 4–6, 137–176 (1991). Cuff, A. R. & Rayfield, E. J. Feeding mechanics in spinosaurid theropods and extant crocodilians. PLoS One. 8 (5), e65295 (2013).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Smart, S. & Sakamoto, M. Using linear measurements to diagnose the ecological habitat of Spinosaurus. PeerJ 12, e17544 (2024).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Rauhut, O. W. M. & Pol, D. Probable basal allosauroid from the early middle jurassic Cañadón Asfalto formation of Argentina highlights phylogenetic uncertainty in Tetanuran theropod dinosaurs. Sci. Rep. 9 (1), 18826 (2019).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Bonaparte, J. F. Dinosaurs: a jurassic assemblage from patagonia. Science 205 (4413), 1377–1379 (1979).Article 
    CAS 
    PubMed 

    Google Scholar 
    Ibiricu, L. M. et al. Latest cretaceous megaraptorid theropod dinosaur sheds light on megaraptoran evolution and palaeobiology. Nat. Commun. 16, 8298 (2025).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ross, F. C. Finite element analysis in vertebrate biomechanics. Anat. Record Part. A: Discoveries Mol. Cell. Evolutionary Biology. 283A, 253–258 (2005).Article 

    Google Scholar 
    Rayfield, E. J. Finite element analysis and Understanding the biomechanics and evolution of living and fossil organisms. Annu. Rev. Earth Planet. Sci. 35, 541–576 (2007).Article 
    CAS 

    Google Scholar 
    Cunningham, J. A., Rahman, I. A., Lautenschlager, S., Rayfield, E. J. & Donoghue, P. C. J. A virtual world of paleontology. Trends Ecol. Evol. 29, 347–357 (2014).Article 
    PubMed 

    Google Scholar 
    Rowe, A. J. & Rayfield, E. J. The efficacy of computed tomography scanning versus surface scanning in 3D finite element analysis. PeerJ 10, e13760 (2022). Rowe, A. J. & Snively, E. Biomechanics of juvenile tyrannosaurid mandibles and their implications for bite force: evolutionary biology. Anat. Rec. 305, 373–392 (2021).Article 

    Google Scholar 
    Ma, W., Pittman, M., Butler, R. J. & Lautenschlager, S. Macroevolutionary trends in theropod dinosaur feeding mechanics. Curr. Biol. 32, 677–686e3 (2022).Article 
    CAS 
    PubMed 

    Google Scholar 
    Johnson-Ransom, E. et al. Comparative cranial biomechanics reveal that late cretaceous tyrannosaurids exerted relatively greater bite force than in early-diverging tyrannosauroids. Anat. Rec. 307, 1897–1917 (2024).Article 

    Google Scholar 
    Rowe, A. J. & Rayfield, E. J. Morphological evolution and functional consequences of giantism in tyrannosauroid dinosaurs. iScience 27, 110679 (2024).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Mazzetta, G. V., Cisilino, A. P., Blanco, R. E. & Calvo, N. Cranial mechanics and functional interpretation of the horned carnivorous dinosaur Carnotaurus Sastrei. J. Vertebr. Paleontol. 29, 822–830 (2009).Article 

    Google Scholar 
    Sakamoto, M. Estimating bite force in extinct dinosaurs using phylogenetically predicted physiological cross-sectional areas of jaw adductor muscles. PeerJ 10, e13731 (2022).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Therrien, F., Henderson, D. M. & Ruff, C. Bite me – Biomechanical models of theropod mandibles and implications for feeding behavior. In Carpenter, Kenneth (ed.). The carnivorous dinosaurs. 179–198, 228. ISBN 978-0-253-34539-4. (Indiana University Press, 2005). Brusatte, S. L., Carr, T. D., Erickson, G. M., Bever, G. S. & Norell, M. A. A long-snouted, multihorned tyrannosaurid from the late cretaceous of Mongolia. Proc. Natl. Acad. Sci. 106, 17261–17266 (2009).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Cerroni, M. A., Canale, J. I. & Novas, F. E. The skull of Carnotaurus Sastrei Bonaparte 1985 revisited: insights from craniofacial bones, palate and lower jaw. Hist. Biol. 33 (10), 2444–2485 (2020).Article 

    Google Scholar 
    Holliday, C. M. & Witmer, L. M. Cranial kinesis in dinosaurs: intracranial joints, Protractor muscles, and their significance for cranial evolution and function in diapsids. J. Vertebr. Paleontol. 28, 1073–1088 (2008).Article 

    Google Scholar 
    Pol, D. et al. A new abelisaurid dinosaur from the end cretaceous of patagonia and evolutionary rates among the ceratosauria. Cladistics 40, 307–356 (2024).Article 
    PubMed 

    Google Scholar 
    Barbosa, G. G., Langer, M. C., de Oliveira Martins, N. & Montefeltro, F. C. Assessing the palaeobiology of Vespersaurus paranaensis (Theropoda, Noasauridae), Cretaceous, Bauru Basin – Brazil, using finite element analysis. Cretac. Res. 150, 105594 (2023).Article 

    Google Scholar 
    Meso, J. G. et al. Shed teeth from Portezuelo formation at Sierra Del Portezuelo reveal a higher diversity of predator theropods during Turonian-Coniacian times in Northern patagonia. BMC Ecol. Evo. 24, 59 (2024).Article 

    Google Scholar 
    Dal Sasso, C., Maganuco, S. & Cau, A. The oldest ceratosaurian (Dinosauria: Theropoda), from the lower jurassic of Italy, sheds light on the evolution of the three-fingered hand of birds. PeerJ 6, e5976 (2018). Smith, J. B. Dental morphology and variation in Majungasaurus crenatissimus (Theropoda: Abelisauridae) from the late cretaceous of Madagascar. J. Vertebr. Paleontol. 27, 103–126 (2007).Article 

    Google Scholar 
    Tortosa, T. et al. A new abelisaurid dinosaur from the late cretaceous of Southern france: palaeobiogeographical implications. Ann. De Palaeontologie. 100, 63–86 (2014).Article 

    Google Scholar 
    Norman, D. B. Carnosaurs. The Illustrated Encyclopedia of Dinosaurs. 62–67. ISBN 978-0-517-46890-6. (Salamander Books Ltd.,1985). Paul, G. S. Ceratosaurs. Predatory Dinosaurs of the World. 274–279. ISBN 978-0-671-61946-6. (Simon & Schuster, 1988). Rowe, T. & Gauthier, J. Ceratosauria. In The Dinosauria. (eds Weishampel, D.B. et al.). 151–168. ISBN 978-0-520-06726-4. (University of California Press, 1990). Sombathy, R., O’Connor, P. M. & D’Emic, M. D. Osteohistology of the unusually fast-growing theropod dinosaur ceratosaurus. J. Anat. 247, 765–789 (2025).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    GilmoreC.W. Osteology of the carnivorous dinosauria in the united States National Museum, with special reference to the genera Antrodemus (Allosaurus) and ceratosaurus. Bull. United States Natl. Museum. 110, 1–154 (1920).
    Google Scholar 
    Porro, L. B. et al. Free body analysis, beam mechanics, and finite element modeling of the mandible of Alligator mississippiensis. J. Morphol. 272, 910–937 (2011).Article 
    PubMed 

    Google Scholar 
    Zapata, U. et al. Material properties of mandibular cortical bone in the American alligator, Alligator mississippiensis. Bone 46, 860–867 (2010).Article 
    PubMed 

    Google Scholar 
    Herbst, E. C., Lautenschlager, S., Bastiaans, D., Miedema, F. & Scheyer, T. M. Modeling tooth enamel in FEA comparisons of skulls: comparing common simplifications with biologically realistic models. iScience 24, 103182 (2021).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Holliday, C. M. New insights into dinosaur jaw muscle anatomy. Anat. Rec. 292, 1246–1265 (2009).Article 

    Google Scholar 
    Sakamoto, M. Scaling bite force in predatory animals: how does T. rex compare with living predators? J. Vertebr. Paleontol. 26, 118A (2006).
    Google Scholar 
    Sakamoto, M. Assessing bite force estimates in extinct mammals and archosaurs using phylogenetic predictions. Palaeontology 64, 743–753 (2021).Article 

    Google Scholar 
    Marcé-Nogué, J., de Esteban-Trivigno, S., Escrig, C. & Gil, L. Accounting for differences in element size and homogeneity when comparing finite element models: armadillos as a case study. Palaeontologia Electronica. 19 (2), 1–22 (2016).
    Google Scholar 
    Morales-García, N. M., Burgess, T. D., Hill, J. J., Gill, P. G. & Rayfield, E. J. The use of extruded finite-element models as a novel alternative to tomography-based models: a case study using early mammal jaws. J. R Soc. Interface. 16, 20190674 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ballell, A. & Ferrón, H. G. Biomechanical insights into the dentition of Megatooth sharks (Lamniformes: Otodontidae). Sci. Rep. 11, 1232 (2021).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Download referencesFundingWe thank Nick Wiersum for access and assistance with scanning the Ceratosaurus at the DDM. Thanks to William Simpson for access to specimens at the FMNH which allowed us to scan Masiakasaurus and Majungasaurus skull material. Thanks to Martin Ezcurra, Belen von Baczko, and Agustin Martinelli for allowing access to the Carnotaurus holotype and to Salguero Diagnostic Center (Buenos Aires, Argentina) for the CT scanning of the specimen. E.J.R. was funded by BBSRC grant BB/W00867X/1.Author informationAuthors and AffiliationsSchool of Earth Sciences, University of Bristol, Bristol, BS8 1RJ, UKAndre J. Rowe & Emily J. RayfieldConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires (CABA), ArgentinaMauricio A. CerroniÁrea Laboratorio e Investigación, Museo Municipal “Ernesto Bachmann” (MEB), Dr. Natali S/N 8311, Villa El Chocón, Neuquén, ArgentinaMauricio A. CerroniLaboratorio de Anatomía Comparada y Evolución de los Vertebrados, Museo Argentino de Ciencias Naturales “Bernardino Rivadavia”, Buenos Aires, ArgentinaMauricio A. CerroniAuthorsAndre J. RoweView author publicationsSearch author on:PubMed Google ScholarMauricio A. CerroniView author publicationsSearch author on:PubMed Google ScholarEmily J. RayfieldView author publicationsSearch author on:PubMed Google ScholarContributionsA.J.R and E.J.R. conceived of the research. A.J.R. and M.A.C. performed the research. A.J.R., M.A.C., and E.J.R. wrote the manuscript.Corresponding authorCorrespondence to
    Andre J. Rowe.Ethics declarations

    Competing interests
    The authors declare no competing interests.

    Additional informationPublisher’s noteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Supplementary InformationBelow is the link to the electronic supplementary material.Supplementary Material 1Rights and permissions
    Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
    Reprints and permissionsAbout this articleCite this articleRowe, A.J., Cerroni, M.A. & Rayfield, E.J. Southern hemisphere ceratosaurs evolved feeding mechanics paralleling those of Northern hemisphere tyrannosaurids.
    Sci Rep 16, 2804 (2026). https://doi.org/10.1038/s41598-025-32686-4Download citationReceived: 17 October 2025Accepted: 11 December 2025Published: 21 January 2026Version of record: 21 January 2026DOI: https://doi.org/10.1038/s41598-025-32686-4Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy shareable link to clipboard
    Provided by the Springer Nature SharedIt content-sharing initiative More

  • in

    Presence, levels, and distribution of organic and elemental pollutants in Zooplankton from the Northwestern Mediterranean sea

    Abstract

    Persistent organic pollutants (POPs), such as the legacy contaminants polychlorinated biphenyls (PCBs) and dichlorodiphenyltrichloroethane (DDTs), as well as trace elements (TEs) pose a significant risk to marine ecosystems due to their toxicity, persistence, and bioaccumulative nature. Despite regulatory bans, PCBs and DDTs continue to be detected in the marine environment, while TEs levels remain conspicuous as a result of both natural and anthropogenic sources. In this study, we investigated the presence, concentrations, and spatial distribution of 32 PCB congeners, 6 DDT compounds, and 16 TEs in zooplankton collected from 40 sites across the Northwestern Mediterranean Sea. Results revealed widespread contamination, with PCBs detected in all samples (53.2 ± 63.0 ng g-1 dw) and DDTs present in over half the samples (5.1 ± 6.0 ng g-1 dw). Hotspots of POPs contamination were identified near Marseille, and in the wider Gulf of Lion, Barcelona, and the Ebro River mouth. All TEs were detected in zooplankton, with high concentrations of essential TEs, but also elevated levels of toxic elements such as Hg, Pb, and Cd in certain locations such as Barcelona, the Gulf of Lion, Balearic Islands, and southwestern Corsica. Spatial patterns of contamination were strongly linked to urban, industrial, riverine, and historical mining inputs. These results underline the important role of zooplankton as bioindicators for assessing pollutant transfer at the base of the marine food web. They also highlight the urgent need for integrated, long-term monitoring strategies to better understand contaminant dynamics and mitigate ecological risks in the Mediterranean Sea.

    Data availability

    The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
    ReferencesAuger, P. A. et al. Functioning of the planktonic ecosystem on the Gulf of Lions shelf (NW Mediterranean) during spring and its impact on the carbon deposition: a field data and 3-D modelling combined approach. Biogeosciences 8(11), 3231–3261 https://doi.org/10.5194/bg-8-3231-2011 (2011).
    Google Scholar 
    Herrmann, M., Estournel, C., Adloff, F. & Diaz, F. Impact of climate change on the northwestern Mediterranean Sea pelagic planktonic ecosystem and associated carbon cycle. J. Geophys. Res.: Ocean. 119(9), 5815–5836 https://doi.org/10.1002/2014JC010016 (2014).
    Google Scholar 
    Cappelletto, M. et al. The Mediterranean Sea we want. Ocean Coast Res. https://doi.org/10.1590/2675-2824069.21019mc (2021).
    Google Scholar 
    Lleonart, J. & Maynou, F. Fish stock assessments in the Mediterranean: State of the art. Sci. Mar. 67(Suppl 1), 37–49 https://doi.org/10.3989/scimar.2003.67s137 (2003).
    Google Scholar 
    UNEP/MAP & Plan Bleu State of the Mediterranean marine and coastal environment 2020. United Nations (2020).Ramos, L., Fernández, M. A., González, M. J. & Hernández, L. M. Heavy metal pollution in water, sediments, and earthworms from the Ebro River, Spain. Bull. Environ. Contam. Toxicol. 63(1), 81–88 https://doi.org/10.1007/s001289900981 (1999).
    Google Scholar 
    Suárez-Serrano, A., Alcaraz, C., Ibáñez, C., Trobajo, R. & Barata, C. Procambarus clarkii as a bioindicator of heavy metal pollution sources in the lower Ebro river and delta. Ecotoxicol. Environ. Saf. 73(2), 280–286 https://doi.org/10.1016/j.ecoenv.2009.11.001 (2010).
    Google Scholar 
    Köck, M. et al. Integrated ecotoxicological and chemical approach for the assessment of pesticide pollution in the Ebro River delta (Spain). J. Hydrol. 383(1–2), 73–82 https://doi.org/10.1016/j.jhydrol.2009.12.031 (2010).
    Google Scholar 
    Lacorte, S. et al. Pilot survey of a broad range of priority pollutants in sediment and fish from the Ebro River basin (NE Spain). Environ. Pollut. 140(3), 471–482 https://doi.org/10.1016/j.envpol.2005.08.008 (2006).
    Google Scholar 
    Lavado, R. et al. The combined use of chemical and biochemical markers to assess water quality along the Ebro River. Environ. Pollut. 139(2), 330–339 https://doi.org/10.1016/j.envpol.2005.05.003 (2006).
    Google Scholar 
    Navarro-Ortega, A., Tauler, R., Lacorte, S. & Barceló, D. Occurrence and transport of PAHs, pesticides and alkylphenols in sediment samples along the Ebro River Basin. J. Hydrol https://doi.org/10.1016/j.jhydrol.2009.12.031 (2010).
    Google Scholar 
    Albaigés, J. Persistent organic pollutants in the Mediterranean Sea. In The Mediterranean Sea (Ed. Saliot, A.) 89–149 (Springer, 2005).Vietti, R. C. et al. The Ligurian Sea: Present status, problems and perspectives. Chem. Ecol. 26(S1), 319–340. https://doi.org/10.1080/02757541003620208 (2010).
    Google Scholar 
    Akhtar, A. B. T., Naseem, S., Yasar, A. & Naseem, Z. Persistent organic pollutants (POPs): sources, types, impacts, and their remediation. In Environmental pollution and remediation 213-246 https://doi.org/10.1007/978-981-15-5499-5_8 (Singapore, Springer Singapore, 2021).Matthies, M., Solomon, K., Vighi, M., Gilman, A. & Tarazona, J. V. The origin and evolution of assessment criteria for persistent, bioaccumulative and toxic (PBT) chemicals and persistent organic pollutants (POPs). Environ. Sci. Process. Impact. 18(9), 1114–1128 https://doi.org/10.1039/c6em00311g (2016).
    Google Scholar 
    Horvat, M. et al. Mercury in contaminated coastal environments; a case study: The Gulf of Trieste. Sci. Total Environ. 237, 43–56 https://doi.org/10.1016/S0048-9697(99)00123-0 (1999).
    Google Scholar 
    Purves, D. Trace-element Contamination of the Environment (Elsevier, 2012).
    Google Scholar 
    Swaine, D. J. Why trace elements are important. Fuel Process. Technol. 65, 21–33 https://doi.org/10.1016/S0378-3820(99)00073-9 (2000).
    Google Scholar 
    Berrojalbiz, N. et al. Biogeochemical and physical controls on concentrations of polycyclic aromatic hydrocarbons in water and plankton of the mediterranean and black seas. Global Biogeochem. Cycl. https://doi.org/10.1029/2010GB003775 (2011).
    Google Scholar 
    Boldrocchi, G. et al. Zooplankton as an indicator of the status of contamination of the Mediterranean Sea and temporal trends. Mar. Pollut. Bull. 197, 115732 https://doi.org/10.1016/j.marpolbul.2023.115732 (2023).
    Google Scholar 
    Hsieh, H. Y. et al. Environmental effects on the bioaccumulation of PAHs in marine zooplankton in Gaoping coastal waters, Taiwan: Concentration, distribution, profile, and sources. Mar. Pollut. Bull. 144, 68–78 https://doi.org/10.1016/j.marpolbul.2019.04.048 (2019).
    Google Scholar 
    Pane, L. et al. Polycyclic aromatic hydrocarbons in water, seston and copepods in a harbour area in the Western Mediterranean (Ligurian Sea). Mar. Ecol. 26(2), 89–99 https://doi.org/10.1111/j.1439-0485.2005.00042.x (2005).
    Google Scholar 
    Ziyaadini, M., Mehdinia, A., Khaleghi, L. & Nassiri, M. Assessment of concentration, bioaccumulation and sources of polycyclic aromatic hydrocarbons in zooplankton of Chabahar Bay. Mar. Pollut. Bull. 107(1), 408–412 https://doi.org/10.1016/j.marpolbul.2016.02.045 (2016).
    Google Scholar 
    Battuello, M. et al. Zooplankton from a North Western Mediterranean area as a model of metal transfer in a marine environment. Ecol. Ind. 66, 440–451 https://doi.org/10.1016/j.ecolind.2016.02.018 (2016).
    Google Scholar 
    Fowler, S. W. Trace elements in zooplankton particulate products. Nature 269(5623), 51–53 https://doi.org/10.1038/269051a0 (1977).
    Google Scholar 
    Larsen, M. & Hjermann, D. Status and Trend for Heavy Metals (Mercury, Cadmium and Lead) in Fish, Shellfish and Sediment. In: OSPAR, 2023: The 2023 Quality Status Report for the Northeast Atlantic. OSPAR Commission, London. Available at: oap.ospar.org/en/ospar-assessments/quality-status-reports/qsr2023/indicator-assessments/heavy-metals-biota-sediment (2022).Annabi-Trabelsi, N. et al. Concentrations of trace metals in phytoplankton and zooplankton in the Gulf of Gabès, Tunisia. Mar. Pollut. Bull. 168, 112392 (2021).Al-Imarah, F. J., Khalaf, T. A., Ajeel, S. G., Khudhair, A. Y. & Saad, R. Accumulation of heavy metals in zooplanktons from Iraqi National Waters. Int. J. Mar. Sci. 8(3), 25 (2018).Chifflet, S. et al. Distribution and accumulation of metals and metalloids in planktonic food webs of the Mediterranean Sea (MERITE-HIPPOCAMPE campaign). Mar. Pollut. Bull. 186, 114384 https://doi.org/10.1016/j.marpolbul.2022.114384 (2023).
    Google Scholar 
    Jakimska, A., Konieczka, P., Skóra, K. & Namieśnisk, J. Bioaccumulation of metals in tissues of marine animals, Part I: The role and impact of heavy metals on organisms. Pol. J. Environ. Stud. 20(5), 1117–1125 (2011).
    Google Scholar 
    Jakimska, A., Konieczka, P., Skóra, K. & Namieśnik, J. Bioaccumulation of metals in tissues of marine animals, Part II-metal concentrations in animal tissues. Pol. J. Environ. Stud. 20, 1127–1146 (2011).
    Google Scholar 
    Directive 2008/105/EC of the European Parliament and of the Council of 16 December 2008 on environmental quality standards in the field of water policy, amending and subsequently repealing Council Directives 82/176/EEC, 83/513/EEC, 84/156/EEC, 84/491/EEC, 86/280/EEC and amending Directive 2000/60/EC of the European Parliament and of the Council. Off. J. Eur. Un. L 348*, 84–97 https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32008L0105 (2008).Menezes-Sousa, D. et al. The plankton role in pollutants dynamics as a tool for ecotoxicological studies. Orbit.: Electron. J. Chem. https://doi.org/10.17807/orbital.v10i4.1082 (2018).
    Google Scholar 
    Atwell, L., Hobson, K. A. & Welch, H. E. Biomagnification and bioaccumulation of mercury in an arctic marine food web: Insights from stable nitrogen isotope analysis. Can. J. Fish. Aquat. Sci. 55(5), 1114–1121 https://doi.org/10.1139/f98-001 (1998).
    Google Scholar 
    Boldrocchi, G., Monticelli, D., Omar, Y. M. & Bettinetti, R. Trace elements and POPs in two commercial shark species from Djibouti: Implications for human exposure. Sci. Total Environ. 669, 637–648 https://doi.org/10.1016/j.scitotenv.2019.03.325 (2019).
    Google Scholar 
    Boldrocchi, G. et al. Legacy and emerging contaminants in the endangered filter feeder basking shark Cetorhinus maximus. Mar. Pollut. Bull. 176, 113466 https://doi.org/10.1016/j.marpolbul.2022.113466 (2022).
    Google Scholar 
    Boldrocchi, G., Monticelli, D. & Bettinetti, R. To what extent are filter feeder elasmobranchs exposed to marine pollution? A systematic review. Environ. Pollut. 318, 120881 https://doi.org/10.1016/j.envpol.2023.120881 (2023).
    Google Scholar 
    Borgå, K., Gabrielsen, G. W. & Skaare, J. U. Biomagnification of organochlorines along a Barents Sea food chain. Environ. Pollut. 113(2), 187–198 https://doi.org/10.1016/S0269-7491(00)00171-8 (2001).
    Google Scholar 
    Corsolini, S. & Sarà, G. The trophic transfer of persistent pollutants (HCB, DDTs, PCBs) within polar marine food webs. Chemosphere 177, 189–199 https://doi.org/10.1016/j.chemosphere.2017.02.116 (2017).
    Google Scholar 
    Nfon, E., Cousins, I. T. & Broman, D. Biomagnification of organic pollutants in benthic and pelagic marine food chains from the Baltic Sea. Sci. Total Environ. 397(1–3), 190–204 https://doi.org/10.1016/j.scitotenv.2008.02.029 (2008).
    Google Scholar 
    Jepson, P. D. et al. Acute and chronic gas bubble lesions in cetaceans stranded in the United Kingdom. Vet. Pathol. 42(3), 291–305 https://doi.org/10.1354/vp.42-3-291 (2005).
    Google Scholar 
    Thophon, S. et al. Histopathological alterations of white seabass, Lates calcarifer, in acute and subchronic cadmium exposure. Environ. Pollut. 121(3), 307–320 https://doi.org/10.1016/S0269-7491(02)00270-1 (2003).
    Google Scholar 
    Ylitalo, G. M. et al. The role of organochlorines in cancer-associated mortality in California sea lions (Zalophus californianus). Mar. Pollut. Bull. 50(1), 30–39 https://doi.org/10.1016/j.marpolbul.2004.08.005 (2005).
    Google Scholar 
    Battaglini, P. et al. The effects of cadmium on the gills of the goldfish Carassius auratus L.: Metal uptake and histochemical changes. Comp. Biochem. Physiol. Part C: Comp. Pharmacol. https://doi.org/10.1016/0742-8413(93)90032-W (1993).
    Google Scholar 
    Thophon, S., Pokethitiyook, P., Chalermwat, K., Upatham, E. S. & Sahaphong, S. Ultrastructural alterations in the liver and kidney of white sea bass, Lates calcarifer, in acute and subchronic cadmium exposure. Environ. Toxicol. 19(1), 11–19 https://doi.org/10.1002/tox.10146 (2004).
    Google Scholar 
    Cross, J. N. & Ellen, H. J. Evidence for impaired reproduction in white croaker (Genyonemus lineatus) from contaminated areas off southern California. Mar. Environ. Res. 24(1–4), 185–188 https://doi.org/10.1016/0141-1136(88)90042-9 (1988).
    Google Scholar 
    Lahvis, G. P. et al. Decreased lymphocyte responses in free-ranging bottlenose dolphins (Tursiops truncatus) are associated with increased concentrations of PCBs and DDT in peripheral blood. Environ. Health Perspect. 103(Suppl 4), 67–72 https://doi.org/10.1289/ehp.95103s467 (1995).
    Google Scholar 
    Burgeot, T. et al. Bioindicators of pollutant exposure in the northwestern Mediterranean Sea. Mar. Ecol. Prog. Ser. 131, 125–141 https://doi.org/10.3354/meps131125 (1996).
    Google Scholar 
    Fossi, M. C. et al. The Pelagos Sanctuary for mediterranean marine mammals: Marine protected area (MPA) or marine polluted area? The case study of the striped dolphin (Stenella coeruleoalba). Mar. Pollut. Bull. 70(1–2), 64–72 https://doi.org/10.1016/j.marpolbul.2013.02.013 (2013).
    Google Scholar 
    Grattarola, C. et al. Health status of stranded common bottlenose dolphins (Tursiops truncatus) and contamination by immunotoxic pollutants: A threat to the Pelagos Sanctuary—Western Mediterranean Sea. Diversity 15(4), 569 https://doi.org/10.3390/d15040569 (2023).
    Google Scholar 
    Pinzone, M. et al. POPs in free-ranging pilot whales, sperm whales and fin whales from the Mediterranean Sea: Influence of biological and ecological factors. Environ. Res. 142, 185–196 https://doi.org/10.1016/j.envres.2015.06.021 (2015).
    Google Scholar 
    Rios-Fuster, B., Alomar, C., Compa, M., Guijarro, B. & Deudero, S. Anthropogenic particles ingestion in fish species from two areas of the western Mediterranean Sea. Mar. Pollut. Bull. 144, 325–333 https://doi.org/10.1016/j.marpolbul.2019.04.064 (2019).
    Google Scholar 
    Berrojalbiz, N. et al. Persistent organic pollutants in Mediterranean seawater and processes affecting their accumulation in plankton. Environ. Sci. Technol. https://doi.org/10.1021/es103742w (2011).
    Google Scholar 
    Tiano, M., Tronczyński, J., Harmelin-Vivien, M., Tixier, C. & Carlotti, F. PCB concentrations in plankton size classes, a temporal study in Marseille Bay Western Mediterranean Sea. Mar. Pollut. Bull. 89(1–2), 331–339 https://doi.org/10.1016/j.marpolbul.2014.09.040 (2014).
    Google Scholar 
    Bettinetti, R., Garibaldi, L., Leoni, B., Quadroni, S. & Galassi, S. Zooplankton as an early warning system of persistent organic pollutants contamination in a deep lake (Lake Iseo, Northern Italy). J. Limnol. 71(1), e36 https://doi.org/10.4081/jlimnol.2012.e36 (2012).
    Google Scholar 
    Boldrocchi, G., Omar, Y. M., Rowat, D. & Bettinetti, R. First results on zooplankton community composition and contamination by some persistent organic pollutants in the Gulf of Tadjoura (Djibouti). Sci. Total Environ. 627, 812–821 https://doi.org/10.1016/j.scitotenv.2018.01.294 (2018).
    Google Scholar 
    Boldrocchi, G. et al. Zooplankton as a bioindicator of marine contamination for filter-feeding basking sharks, fin whales, and devil rays at Caprera Canyon (Mediterranean Sea). Arch. Environ. Contam. Toxicol. https://doi.org/10.1007/s00244-025-01234-x (2025).
    Google Scholar 
    Piscia, R., Bettinetti, R., Caroni, R., Boldrocchi, G. & Manca, M. Seasonal and plurennial changes of POPs repository in freshwater zooplankton: A 10-year study in the large deep subalpine Lake Maggiore (Italy). Sci. Total Environ. 857, 159379 https://doi.org/10.1016/j.scitotenv.2022.159379 (2023).
    Google Scholar 
    Villa, B. et al. Evaluation of the Adriatic Sea pollution using mesozooplankton as an environmental indicator. Chemosphere 366, 143553 https://doi.org/10.1016/j.chemosphere.2024.143553 (2024).
    Google Scholar 
    Strogyloudi, E. et al. Metal and metallothionein concentrations in mesozooplankton from an oligotrophic offshore area in the eastern Mediterranean Sea (Cretan Passage/Levantine Sea). Mar. Pollut. Bull. 194, 115370 https://doi.org/10.1016/j.marpolbul.2023.115370 (2023).
    Google Scholar 
    Castro-Jiménez, J. et al. Persistent organic pollutants burden, trophic magnification and risk in a pelagic food web from coastal NW Mediterranean Sea. Environ. Sci. Technol. 55(13), 9557–9568 https://doi.org/10.1021/acs.est.1c00904 (2021).
    Google Scholar 
    Tesán-Onrubia, J. A. et al. Bioconcentration, bioaccumulation and biomagnification of mercury in plankton of the Mediterranean Sea. Mar. Pollut. Bull. 194, 115439 https://doi.org/10.1016/j.marpolbul.2023.115439 (2023).
    Google Scholar 
    Dachs, J., Bayona, J. M. & Albaigés, J. Spatial distribution, vertical profiles and budget of organochlorine compounds in Western Mediterranean seawater. Mar. Chem. 57(3–4), 313–324 https://doi.org/10.1016/S0304-4203(97)00016-9 (1997).
    Google Scholar 
    Rezzolla, D., Boldrocchi, G. & Storai, T. Evaluation of a low-cost, non-invasive survey technique to assess the relative abundance, diversity, and behaviour of sharks on Sudanese reefs (Southern Red Sea). J. Mar. Biol. Assoc. U.K. 94(3), 599–606 https://doi.org/10.1017/S0025315414000080 (2014).
    Google Scholar 
    UNEP/MAP The Mediterranean Sea biodiversity: State of the ecosystems, pressures, impacts and future priorities. RAC/SPA (2010).Delrosso, D. Studio degli effetti dell’apporto fluviale sulla circolazione del Mare Mediterraneo. Master’s thesis. University of Bologna. https://amslaurea.unibo.it/id/eprint/1265/1/delrosso_damiano_tesi.pdf (2010).Struglia, M. V., Mariotti, A. & Filograsso, A. River discharge into the Mediterranean Sea: Climatology and aspects of the observed variability. J. Clim. 17(5), 473–489 https://doi.org/10.1175/JCLI-3225.1 (2004).
    Google Scholar 
    Siokou-Frangou, I. et al. Plankton in the open Mediterranean Sea: A review. Biogeosciences 7(5), 1543–1586 https://doi.org/10.5194/bg-7-1543-2010 (2010).
    Google Scholar 
    Salvadó, J. A., Grimalt, J. O., López, J. F., Palanques, A. & Canals, M. Influence of deep water formation by open-sea convection on the transport of low hydrophobicity organic pollutants in the NW Mediterranean Sea. Sci. Total Environ. 647, 597–605 https://doi.org/10.1016/j.scitotenv.2018.07.458 (2019).
    Google Scholar 
    Boldrocchi, G. et al. Bioaccumulation and biomagnification in elasmobranchs: A concurrent assessment of trophic transfer of trace elements in 12 species from the Indian Ocean. Mar. Pollut. Bull. 172, 112853 https://doi.org/10.1016/j.marpolbul.2021.112853 (2021).
    Google Scholar 
    Monticelli, D., Castelletti, A., Civati, D., Recchia, S. & Dossi, C. How to efficiently produce ultrapure acids. Int J. Anal. Chem. https://doi.org/10.1155/2019/5180610 (2019).
    Google Scholar 
    Spanu, D., Butti, L., Boldrocchi, G., Bettinetti, R. & Monticelli, D. High-throughput, multi-batch system for the efficient microwave digestion of biological samples. Anal. Sci. 36(7), 889–892 https://doi.org/10.2116/analsci.20P174 (2020).
    Google Scholar 
    AMA (Agencia de Medio Ambiente de Andalucia. Spain) Determinacidn del contenido de pesticidas en aguas y de metales en organismos vivos (Determining the pesticide content in waters and the metal content in living organisms) (1992).Mazzocchi, M. G., Licandro, P., Dubroca, L., Di Capua, I. & Saggiomo, V. Zooplankton associations in a Mediterranean long-term time-series. J. Plankton Res. 33(8), 1163–1181 https://doi.org/10.1093/plankt/fbr017 (2011).
    Google Scholar 
    Scarpato, A. et al. Western Mediterranean coastal waters—Monitoring PCBs and pesticides accumulation in Mytilus galloprovincialis by active mussel watching: The Mytilos project. J. Environ. Monit. 12(5), 924 https://doi.org/10.1039/b920455e (2010).
    Google Scholar 
    Van den Berg, M. et al. The 2005 World Health Organization reevaluation of human and mammalian toxic equivalency factors for dioxins and dioxin-like compounds. Toxicol. Sci. 93(2), 223–241 https://doi.org/10.1093/toxsci/kfl055 (2006).
    Google Scholar 
    Safe, S. H. Polychlorinated biphenyls (PCBs): Environmental impact, biochemical and toxic responses, and implications for risk assessment. Crit. Rev. Toxicol. 24(2), 87–149 https://doi.org/10.3109/10408449409089837 (1994).
    Google Scholar 
    Erickson, M. D. & Kaley, R. G. Applications of polychlorinated biphenyls. Environ. Sci. Pollut. Res. 18(2), 135–151 https://doi.org/10.1007/s11356-010-0392-1 (2011).
    Google Scholar 
    UNEP/MAP State of the Mediterranean marine and coastal environment. United Nations Environment Programme/Mediterranean Action Plan (2012).Syakti, A. D. et al. Distribution of organochlorine pesticides (OCs) and polychlorinated biphenyls (PCBs) in marine sediments directly exposed to wastewater from Cortiou, Marseille. Environ. Sci. Pollut. Res. 19(5), 1524–1535 https://doi.org/10.1007/s11356-011-0666-x (2012).
    Google Scholar 
    Dierking, J. et al. Spatial patterns in PCBs, pesticides, mercury and cadmium in the common sole in the NW Mediterranean Sea, and a novel use of contaminants as biomarkers. Mar. Pollut. Bull. 58(11), 1605–1614 https://doi.org/10.1016/j.marpolbul.2009.07.008 (2009).
    Google Scholar 
    Briand, M. J. et al. The French Mussel Watch: More than two decades of chemical contamination survey in Mediterranean coastal waters. Mar. Pollut. Bull. 191, 114901 https://doi.org/10.1016/j.marpolbul.2023.114901 (2023).
    Google Scholar 
    Kanzari, F. et al. Distributions and sources of persistent organic pollutants (aliphatic hydrocarbons, PAHs, PCBs and pesticides) in surface sediments of an industrialized urban river (Huveaune), France. Sci. Total Environ. 478, 141–151 https://doi.org/10.1016/j.scitotenv.2014.01.065 (2014).
    Google Scholar 
    Pinazo, C., Fraysse, M., Doglioli, A., Faure, V., Pairaud, I., Petrenko, A., Thouvenin, B., Tronczynski, J., Verney & Yohia, C. Modélisation de la baie de MArSeILLe: Influence des apports Anthropiques de la métropole sur l’écosystème marin (2013).Sauzade, D., Andral, B., Gonzalez, J.-L., Pairaud, I., Verney, R., Zebracki, M., Cadiou, J.-F., & Boissery, P. Pressure and state of the marine chemical contamination in the vicinity of a large coastal Mediterranean city, the case of Marseilles. In Impact of large coastal Mediterranean cities on marine ecosystems 199-206 (Alexandria, Egypt, 2009).Vousdoukas, M. I. et al. Sediment dynamics in the Bay of Marseille, Gulf of Lions (France): Hydrodynamic forcing vs. bed erodibility. J. Coast. Res. https://doi.org/10.2112/JCOASTRES-D-10-00122.1 (2011).
    Google Scholar 
    Montañes, J. F. C., Risebrough, R. W., De Lappe, B. W., Marino, M. G. & Albaigés, J. Estimated inputs of organochlorines from the River Ebro into the northwestern Mediterranean. Mar. Pollut. Bull. 21(11), 518–523 https://doi.org/10.1016/0025-326X(90)90299-N (1990).
    Google Scholar 
    Pastor, D., Sanpera, C., González-Solís, J., Ruiz, X. & Albaigés, J. Factors affecting the organochlorine pollutant load in biota of a rice field ecosystem (Ebro Delta, NE Spain). Chemosphere 55(4), 567–576 https://doi.org/10.1016/j.chemosphere.2003.11.036 (2004).
    Google Scholar 
    González, S., López-Roldán, R. & Cortina, J.-L. Presence and biological effects of emerging contaminants in Llobregat River basin: A review. Environ. Pollut. 161, 83–92 https://doi.org/10.1016/j.envpol.2011.10.002 (2012).
    Google Scholar 
    Masiá, A., Campo, J., Navarro-Ortega, A., Barceló, D. & Picó, Y. Pesticide monitoring in the basin of Llobregat River (Catalonia, Spain) and comparison with historical data. Sci. Total Environ. 503–504, 58–68 https://doi.org/10.1016/j.scitotenv.2014.05.096 (2015).
    Google Scholar 
    Sabater, S., Ginebreda, A., & Barceló, D. (Eds) The Llobregat: The story of a polluted Mediterranean river. (Springer, 2012).Pouch, A., Zaborska, A., Dąbrowska, A. M. & Pazdro, K. Bioaccumulation of PCBs, HCB and PAHs in the summer plankton from West Spitsbergen fjords. Mar. Pollut. Bull. 177, 113488 (2022).
    Google Scholar 
    Yeo, B. G. et al. PCBs and PBDEs in microplastic particles and zooplankton in open water in the Pacific Ocean and around the coast of Japan. Mar. Pollut. Bull. 151, 110806 (2020).
    Google Scholar 
    Berny, P. et al. Impact of local agricultural and industrial practices on organic contamination of little egret (Egretta garzetta) eggs in the Rhone Delta, southern France. Environ. Toxicol. Chem. 21(3), 520–526 https://doi.org/10.1002/etc.5620210311 (2002).
    Google Scholar 
    Campillo, J. A., Fernández, B., García, V., Benedicto, J. & León, V. M. Levels and temporal trends of organochlorine contaminants in mussels from Spanish Mediterranean waters. Chemosphere 182, 584–594 https://doi.org/10.1016/j.chemosphere.2017.05.025 (2017).
    Google Scholar 
    Kang, Y. et al. Organochlorine pesticides (OCPs) in corals and plankton from a coastal coral reef ecosystem, south China sea. Environ. Res. 214, 114060 (2022).
    Google Scholar 
    Basu, S., Chanda, A., Gogoi, P. & Bhattacharyya, S. Organochlorine pesticides and heavy metals in the zooplankton, fishes, and shrimps of tropical shallow tidal creeks and the associated human health risk. Mar. Pollut. Bull. 165, 112170 (2021).
    Google Scholar 
    Fisk, A. T., Hobson, K. A. & Norstrom, R. J. Influence of chemical and biological factors on trophic transfer of persistent organic pollutants in the Northwater Polynya marine food web. Environ. Sci. Technol. 35(4), 732–738 (2001).
    Google Scholar 
    Hoekstra, P. F. et al. Spatial trends and bioaccumulation of organochlorine pollutants in marine zooplankton from the Alaskan and Canadian Arctic. Environ. Toxicol. Chem. 21(3), 575–583 (2002).
    Google Scholar 
    Ansari, T. M., Marr, I. L. & Tariq, N. Heavy metals in marine pollution perspective – A mini review. J. Appl. Sci. 4(1), 1–20 https://doi.org/10.3923/jas.2004.1.20 (2004).
    Google Scholar 
    Fu, F. & Wang, Q. Removal of heavy metal ions from wastewaters: A review. J. Environ. Manage. 92(3), 407–418 https://doi.org/10.1016/j.jenvman.2010.11.011 (2011).
    Google Scholar 
    Chiarelli, R. & Roccheri, M. C. Marine invertebrates as bioindicators of heavy metal pollution. Open J. Met. 4(4), 93–106 https://doi.org/10.4236/ojmetal.2014.44011 (2014).
    Google Scholar 
    Palanques, A., Lopez, L., Guillén, J., Puig, P. & Masqué, P. Decline of trace metal pollution in the bottom sediments of the Barcelona City continental shelf (NW Mediterranean). Sci. Total Environ. 579, 755–767 https://doi.org/10.1016/j.scitotenv.2016.11.031 (2017).
    Google Scholar 
    Elbaz-Poulichet, F. et al. The environmental legacy of historic Pb-Zn-Ag-Au mining in river basins of the southern edge of the Massif Central (France). Environ. Sci. Pollut. Res. 24(23), 20725–20735 https://doi.org/10.1007/s11356-017-9669-y (2017).
    Google Scholar 
    Palanques, A. & Drake, D. E. Distribution and dispersal of suspended particulate matter on the Ebro continental shelf, northwestern Mediterranean Sea. Mar. Geol. 95(3–4), 193–206 https://doi.org/10.1016/0025-3227(90)90127-D (1990).
    Google Scholar 
    Deudero, S. et al. Temporal trends of metals in benthic invertebrate species from the Balearic Islands Western Mediterranean. Mar. Poll. Bull. 54(12), 1545–1558 https://doi.org/10.1016/j.marpolbul.2007.05.012 (2007).
    Google Scholar 
    Rodellas, V. et al. Submarine groundwater discharge as a source of nutrients and trace metals in a Mediterranean bay (Palma Beach, Balearic Islands). Mar. Chem. 160, 56–66 https://doi.org/10.1016/j.marchem.2014.01.007 (2014).
    Google Scholar 
    Cima, F. & Varello, R. Potential disruptive effects of copper-based antifouling paints on the biodiversity of coastal macrofouling communities. Environ. Sci. Pollut. Res. 30(4), 8633–8646 https://doi.org/10.1007/s11356-021-17940-2 (2023).
    Google Scholar 
    Gosselin, M. et al. Trace metal concentrations in Posidonia oceanica of North Corsica (northwestern Mediterranean Sea): Use as a biological monitor?. BMC Ecol. 6, 12 https://doi.org/10.1186/1472-6785-6-12 (2006).
    Google Scholar 
    Galgani, F. et al. Chemical contamination and sediment toxicity along the coast of Corsica. Chem. Ecol. 22(3), 299–312 https://doi.org/10.1080/02757540600812156 (2006).
    Google Scholar 
    Ternengo, S. et al. Spatial variations in trace element concentrations of the sea urchin, Paracentrotus lividus, a first reference study in the Mediterranean Sea. Mar. Pollut. Bull. 129(1), 293–298 https://doi.org/10.1016/j.marpolbul.2018.02.049 (2018).
    Google Scholar 
    Pachés, M., Martínez-Guijarro, R., Romero, I. & Aguado, D. Assessment of metal pollution and its environmental impact on Spanish Mediterranean coastal ecosystems. J. Mar. Sci. Eng. 11(1), 89 https://doi.org/10.3390/jmse11010089 (2023).
    Google Scholar 
    Baeyens, W. et al. Overview of trace metal contamination in the Scheldt estuary and effect of regulatory measures. Hydrobiologia 540, 141–154 https://doi.org/10.1007/s10750-004-4233-9 (2005).
    Google Scholar 
    Cossa, D. Le mercure en milieu marin: le cas du littoral français dans le contexte d’une contamination à l’échelle planétaire. Equinoxe (Nantes), 48–52 (1994).Bat, L., Üstün, F. & Öztekin, H. C. Heavy metal concentrations in zooplankton of Sinop coasts of the Black Sea, Turkey. Mar. Biol. J. https://doi.org/10.21072/mbj.2016.01.1.01 (2016).
    Google Scholar 
    Pempkowiak, J., Walkusz-Miotk, J., Bełdowski, J. & Walkusz, W. Heavy metals in zooplankton from the Southern Baltic. Chemosphere 62(10), 1697–1708 https://doi.org/10.1016/j.chemosphere.2005.06.056 (2006).
    Google Scholar 
    Cai, C., Devassy, R. P., El-Sherbiny, M. M. & Agusti, S. Cement and oil refining industries as the predominant sources of trace metal pollution in the Red Sea: a systematic study of element concentrations in the Red Sea zooplankton. Mar. Pollut. Bull. 174, 113221 (2022).Rejomon, G. et al. Trace metal concentrations in zooplankton from the eastern Arabian Sea and Western Bay of Bengal. Environ. Forens. 9(1), 22–32 https://doi.org/10.1080/15275920701506193 (2008).
    Google Scholar 
    Achary, S. et al. Environmental chemistry and ecotoxicology concentration factor of metals in zooplankton and their seasonality in Kalpakkam coast, southwest Bay of Bengal. Environ. Chem. Ecotoxicol. 2, 12–23 https://doi.org/10.1016/j.enceco.2020.01.002 (2020).
    Google Scholar 
    Boldrocchi, G., Monticelli, D., Butti, L., Omar, M. & Bettinetti, R. First concurrent assessment of elemental-and organic-contaminant loads in skin biopsies of whale sharks from Djibouti. Sci. Total Environ. 722, 137841 https://doi.org/10.1016/j.scitotenv.2020.137841 (2020).
    Google Scholar 
    Albarico, F. P. J. B. et al. Non-proportional distribution and bioaccumulation of metals between phytoplankton and zooplankton in coastal waters. Mar. Pollut. Bull. https://doi.org/10.1016/j.marpolbul.2022.114168 (2022).
    Google Scholar 
    Mohan, M. et al. Environmental nanotechnology, monitoring & management metal content in zooplanktons of two Arctic fjords, Ny-Ålesund, Svalbard. Environ. Nanotechnol. Monit. Manag. https://doi.org/10.1016/j.enmm.2019.100251 (2019).
    Google Scholar 
    Lobus, N. V., Arashkevich, E. G. & Flerova, E. A. Major, trace, and rare-earth elements in the zooplankton of the Laptev Sea in relation to community composition. Environ. Sci. Pollut. Res. 26(22), 23044–23060 (2019).Giebichenstein, J., Andersen, T., Varpe, Ø., Gabrielsen, G. W. & Borgå, K. Little seasonal variation of mercury concentrations and biomagnification in an Arctic pelagic food web. Progr. Oceanogr. https://doi.org/10.1016/j.pocean.2024.103381 (2025).
    Google Scholar 
    Ruus, A. et al. Methylmercury biomagnification in an Arctic pelagic food web. Environ. Toxicol. Chem. 34(11), 2636–2643 https://doi.org/10.1002/etc.3143 (2015).
    Google Scholar 
    Carlotti, F. & Poggiale, J. C. Towards methodological approaches to implement the zooplankton component in “end to end” food-web models. Prog. Oceanogr. 84(1–2), 20–38 https://doi.org/10.1016/j.pocean.2009.09.003 (2010).
    Google Scholar 
    González-Gaya, B. et al. Biodegradation as an important sink of aromatic hydrocarbons in the oceans. Nat. Geosci. https://doi.org/10.1038/s41561-018-0285-3 (2019).
    Google Scholar 
    Espinasse, B. et al. Water column distribution of zooplanktonic size classes derived from in-situ plankton profilers: Potential use to contextualize contaminant loads in plankton. Mar. Pollut. Bull. 196, 115573 https://doi.org/10.1016/j.marpolbul.2023.115573 (2023).
    Google Scholar 
    Cossa, D. & Coquery, M. The mediterranean mercury anomaly, a geochemical or a BiologocalIssue. In The Mediterranean Sea, 177–208 (Springer, Berlin, Heidelberg, 2005).Download referencesAcknowledgementsThis research was conducted under the “Marine Adventure for Research and Education” Initiative, a project by Fondazione Centro Velico Caprera E.T.S. with One Ocean Foundation as Scientific Partner and patronized by Marina Militare (Italian Navy), Ministero della Transizione Ecologica (Italian Ministry of the Environment), Guardia Costiera (Italian Coast Guard) and Regione Autonoma della Sardegna (Autonomous Region of Sardinia). The authors, along with the One Ocean Foundation, wish to extend their gratitude to Stefano Crosta (President – Fondazione Centro Velico Caprera) and Enrico Bertacchi (General Secretary – Fondazione Centro Velico Caprera) for their role in organizing and promoting the Marine Adventure for Education and Research Initiative. The authors also express their appreciation to the project’s sponsors, especially Shiseido (https://www.shiseido.com/) as main partner, Yamamay (https://www.yamamay.com) as founding partner, Deutsche Bank Italia (https://www.deutsche-bank.it) as institutional partner, and TOIO (https://www.toio.com/) as technical partner. The authors wish to express their profound appreciation to Project MARE’s guests and students, whose dedicated support was crucial during both field sampling and laboratory analyses. Scientific support from CRIETT center of University of Insubria (instrument code: MAC10) is gratefully acknowledged.FundingThis research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.Author informationAuthors and AffiliationsDepartment of Human Sciences, Innovation and Territory, University of Insubria, Via Valleggio 11, Como, ItalyGinevra Boldrocchi, Davide Banfi & Roberta BettinettiOne Ocean Foundation, Via Gesù 10, 20121, Milan, ItalyGinevra Boldrocchi, Jan Pachner, Laura Basaglia, Carlotta Santolini & Giulia LiguoriDepartment of Science and High Technology, University of Insubria, Via Valleggio 11, Como, ItalyBenedetta Villa, Damiano Monticelli, Gaia Bolla & Rosalia PernaCRIETT, University of Insubria, 21100, Varese, ItalyMaristella Mastore & Cristina CortiAuthorsGinevra BoldrocchiView author publicationsSearch author on:PubMed Google ScholarBenedetta VillaView author publicationsSearch author on:PubMed Google ScholarDavide BanfiView author publicationsSearch author on:PubMed Google ScholarDamiano MonticelliView author publicationsSearch author on:PubMed Google ScholarJan PachnerView author publicationsSearch author on:PubMed Google ScholarLaura BasagliaView author publicationsSearch author on:PubMed Google ScholarCarlotta SantoliniView author publicationsSearch author on:PubMed Google ScholarGiulia LiguoriView author publicationsSearch author on:PubMed Google ScholarGaia BollaView author publicationsSearch author on:PubMed Google ScholarMaristella MastoreView author publicationsSearch author on:PubMed Google ScholarCristina CortiView author publicationsSearch author on:PubMed Google ScholarRosalia PernaView author publicationsSearch author on:PubMed Google ScholarRoberta BettinettiView author publicationsSearch author on:PubMed Google ScholarContributionsGi.B. conceived the study, supervised the work, contributed to methodology, investigation, validation, formal analysis, and wrote the original draft. B.V. contributed to methodology, formal analysis, visualization, and co-wrote the original draft. She also created Fig. 1 to 4. D.B. worked on methodology, investigation, formal analysis, and manuscript review and editing. D.M. contributed to methodology, validation, formal analysis, and manuscript review and editing. J.P. was responsible for resources, project administration, and funding acquisition. L.B., C.S., G.L. and Ga.B. contributed to investigation and manuscript review and editing. M.M. and C.C. contributed to investigation, validation, and manuscript review and editing. R.P. contributed to validation and manuscript review and editing. R.B. supervised the work, provided resources, and contributed to manuscript review and editing. All authors reviewed the manuscript.Corresponding authorCorrespondence to
    Ginevra Boldrocchi.Ethics declarations

    Competing interests
    The authors declare no competing interests.

    Additional informationPublisher’s noteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Supplementary InformationSupplementary Information.Rights and permissions
    Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
    Reprints and permissionsAbout this articleCite this articleBoldrocchi, G., Villa, B., Banfi, D. et al. Presence, levels, and distribution of organic and elemental pollutants in Zooplankton from the Northwestern Mediterranean sea.
    Sci Rep (2026). https://doi.org/10.1038/s41598-025-34888-2Download citationReceived: 15 September 2025Accepted: 31 December 2025Published: 21 January 2026DOI: https://doi.org/10.1038/s41598-025-34888-2Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy shareable link to clipboard
    Provided by the Springer Nature SharedIt content-sharing initiative
    KeywordsMetalsPlanktonPersistent organic pollutantsBioaccumulationHgPCBsWestern Mediterranean Sea More

  • in

    Grounding Urban wetlands as nature-based solutions: enhancing accessibility to nature in Concepción, Chile

    AbstractUrban planners increasingly recognize the importance of improving access to nature to support human well-being, social inclusion, and urban sustainability. However, assessing accessibility to urban green spaces remains challenging, particularly in rapidly urbanizing cities of the Global South, where mobility constraints and socio-spatial inequalities shape who can effectively benefit from these spaces. Urban wetlands, despite providing multiple ecosystem services, are rarely incorporated into formal green infrastructure networks and are often excluded from accessibility assessments. This study examines how integrating urban wetlands as Nature-Based Solutions (NbS) modifies patterns of access to nature in Concepción, Chile. We combine land-use data on parks and wetlands with accessibility measures and origin–destination travel survey data to model walking accessibility under two scenarios: green spaces excluding wetlands and green spaces including wetlands. A Random Forest model is applied to capture heterogeneity across socio-demographic profiles, including age, gender, employment status, and driver’s license ownership. Results show that incorporating urban wetlands significantly increases the accessible surface of green space across the city, with particularly strong gains for groups with limited mobility options, such as women, older adults, unemployed residents, and individuals without access to private vehicles. In peripheral and underserved areas, wetlands partially compensate for deficits in formal park provision, reducing accessibility gaps. These findings provide empirical evidence that urban wetlands function as grounded NbS by redistributing access to nature and underscore the importance of formally integrating wetlands into urban planning instruments to promote more inclusive and resilient cities.

    Similar content being viewed by others

    Equitable urban green space planning for sustainable cities: a GIS-based analysis of spatial disparities and functional strategies

    Article
    Open access
    02 July 2025

    Evaluation of the synergistic change in cultivated land and wetland in northeast China from 1990 to 2035

    Article
    Open access
    29 April 2025

    Mapping the benefits of nature in cities with the InVEST software

    Article
    Open access
    21 June 2021

    Data availability

    The data that support the findings of this study are derived from a combination of publicly available spatial datasets and restricted-access origin–destination travel survey data. Public spatial data sources are cited in the manuscript. Access to the origin–destination survey data is subject to data protection and confidentiality agreements and is therefore available from the corresponding author upon reasonable request and with permission from the data provider. Derived datasets and code generated during the analysis are available from the corresponding author upon reasonable request.
    Code availability

    The data that support the findings of this study are derived from a combination of publicly available spatial datasets and restricted-access origin–destination travel survey data. Public spatial data sources are cited in the manuscript. Access to the origin–destination survey data is subject to data protection and confidentiality agreements and is therefore available from the corresponding author upon reasonable request and with permission from the data provider. Derived datasets and code generated during the analysis are available from the corresponding author upon reasonable request.
    ReferencesKabisch, N., Püffel, C., Masztalerz, O., Hemmerling, J. & Kraemer, R. Physiological and psychological effects of visits to different urban green and street environments in older people: a field experiment in a dense inner-city area. Landsc. Urban Plan 207, 103998 (2021).
    Google Scholar 
    Lopes, S., Lima, M. & Silva, K. Nature can get it out of your mind: The rumination reducing effects of contact with nature and the mediating role of awe and mood. J. Environ. Psychol. 71, 101489 (2020).
    Google Scholar 
    Brooks, A. M., Ottley, K. M., Arbuthnott, K. D. & Sevigny, P. Nature-related mood effects: season and type of nature contact. J. Environ. Psychol. 54, 91–102 (2017).
    Google Scholar 
    Kabisch, N. & Kraemer, R. Physical activity patterns in two differently characterised urban parks under conditions of summer heat. Environ. Sci. Policy 107, 56–65 (2020).
    Google Scholar 
    Martin, L. et al. Nature contact, nature connectedness and associations with health, wellbeing and pro-environmental behaviours. J. Environ. Psychol. 68, 101389 (2020).
    Google Scholar 
    Martins, I. L., Uliana, A. L. S., Matos, E. B. & Rocha, B. M. Nature-based solutions and urban flood: a global and Latin American review. PARC Pesqui. Arquit. Constr. 16, e025014 (2025).
    Google Scholar 
    Alikhani, S., Nummi, P. & Ojala, A. Urban wetlands: a review on ecological and cultural values. Water 13, 3301 (2021).
    Google Scholar 
    Xu, X., Chen, M., Yang, G., Jiang, B. & Zhang, J. Wetland ecosystem services research: a critical review. Glob. Ecol. Conserv. 22, e01027 (2020).
    Google Scholar 
    Rojas-Quezada, C., Jorquera, F., Steiniger, S. & Jorquera, F. Acceder caminando a los humedales urbanos. Rev. Urbano 25, 56–67 (2022).
    Google Scholar 
    Rojas, C., Munizaga, J., Rojas, O., Martínez, C. & Pino, J. Urban development versus wetland loss in a coastal Latin American city: lessons for sustainable land use planning. Land Use Policy 80, 47–56 (2019).
    Google Scholar 
    Rigolon, A., Browning, M. H. E. M., Lee, K. & Shin, S. Access to urban green space in cities of the Global South: a systematic literature review. Urban Sci. 2, 67 (2018).
    Google Scholar 
    Lara-Valencia, F. & García-Pérez, H. Space for equity: Socioeconomic variations in the provision of public parks in Hermosillo, Mexico. Local Environ. 20, 350–368 (2015).
    Google Scholar 
    Zhai, X. & Lange, E. The influence of COVID-19 on perceived health effects of wetland parks in China. Wetlands 41, 8 (2021).
    Google Scholar 
    De la Barrera, F., Reyes-Paecke, S., Harris, J., Bascuñán, D. & Farías, J. M. People’s perception influences on the use of green spaces in socio-economically differentiated neighborhoods. Urban Forestry Urban Green. 20, 254–264 (2016).
    Google Scholar 
    Macedo, J. & Haddad, M. A. Equitable distribution of open space: using spatial analysis to evaluate urban parks in Curitiba, Brazil. Environ. Plan. B 43, 1096–1117 (2016).
    Google Scholar 
    De la Barrera, F. Green space accessibility in Chilean cities. Urban Forestry Urban Green. 75, 127701 (2023).
    Google Scholar 
    Rojas, C., Páez, A., Barbosa, O. & Carrasco, J. Accessibility to urban green spaces in Chilean cities using adaptive thresholds. J. Transp. Geogr. 57, 227–240 (2016).
    Google Scholar 
    Xue, L., Zhang, X. & Xie, S. Planning of functional areas and ecological design of Hong Kong Wetland Park. Wetl. Sci. Manag. 11, 1–7 (2015).
    Google Scholar 
    Páez, A., Scott, D. M. & Morency, C. Measuring accessibility: Positive and normative implementations of various accessibility indicators. J. Transp. Geogr. 25, 141–153 (2012).
    Google Scholar 
    Kim, Y., Corley, E. A., Won, Y. & Kim, J. Green space access and visitation disparities in the Phoenix metropolitan area. Landsc. Urban Plan 237, 104805 (2023).
    Google Scholar 
    Zhang, S., Yu, P., Chen, Y., Jing, Y. & Zeng, F. Accessibility of park green space in Wuhan, China: implications for spatial equity in the post-COVID-19 era. Int. J. Environ. Res. Public Health 19, 5440 (2022).
    Google Scholar 
    Wen, C., Albert, C. & von Haaren, C. Equality in access to urban green spaces: a case study in Hannover, Germany, with a focus on the elderly population. Urban Forestry Urban Green. 55, 126820 (2020).
    Google Scholar 
    Fen, L., Sun, R. & Chen, L. Effects of social-demographic factors on the recreational service of park wetlands in Beijing. Acta Ecol. Sin. 32, 3565–3576 (2012).
    Google Scholar 
    McIntire, R. K. et al. Disparities in neighborhood park access among adults in Philadelphia. 78, 127790 (2022).Phillips, A., Canters, F. & Khan, A. Z. Analyzing spatial inequalities in use and experience of urban green spaces. 74, 127674 (2022).Seaman, P. J., Jones, R. & Ellaway, A. It’s not just about the park, it’s about integration too: why people choose to use or not use urban greenspaces. Int. J. Behav. Nutr. Phys. Act. 7, 78 (2010).
    Google Scholar 
    Download referencesAcknowledgements“Accesibilidad y valor percibido de humedales urbanos y parques de humedales: Soluciones basadas en la naturaleza para la sustentabilidad de ciudades costeras” ANID FONDECYT REGULAR Nº 1250128. Fondo de Investigación en Ciencia y Tecnología de la ANID. Centro de Interés Nacional “Center for Sustainable Urban Development” (CEDEUS) (2025-2030). ANID CIN 250009.Author informationAuthors and AffiliationsInstituto de Estudios Urbanos y Territoriales, Providencia, ChileCarolina Rojas QuezadaCentro de Desarrollo Urbano Sustentable (CEDEUS), Pontificia Universidad Católica de Chile, Santiago, ChileCarolina Rojas QuezadaSchool of Earth, Environment, and Society, McMaster University, Hamilton, ON, CanadaAntonio PáezCity Lab Biobío, Concepción, ChileHelen de la FuenteCentro de Desarrollo Integral de los Territorios (CEDIT), Pontificia Universidad Católica de Chile, Santiago, ChileBryan CastilloAuthorsCarolina Rojas QuezadaView author publicationsSearch author on:PubMed Google ScholarAntonio PáezView author publicationsSearch author on:PubMed Google ScholarHelen de la FuenteView author publicationsSearch author on:PubMed Google ScholarBryan CastilloView author publicationsSearch author on:PubMed Google ScholarContributions(C.R.): Conceptualization; Writing – original draft; Methodology design. (A.P.): Methodology design; Writing – review and editing. (H.F.): Data curation; Visualization; Machine learning analysis; Calculations. (B.C.): Machine learning analysis; Calculations.Corresponding authorCorrespondence to
    Carolina Rojas Quezada.Ethics declarations

    Competing interests
    The authors declare no competing interests.

    Additional informationPublisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Rights and permissions
    Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
    Reprints and permissionsAbout this articleCite this articleQuezada, C.R., Páez, A., Fuente, H.d.l. et al. Grounding Urban wetlands as nature-based solutions: enhancing accessibility to nature in Concepción, Chile.
    npj Urban Sustain (2026). https://doi.org/10.1038/s42949-026-00339-8Download citationReceived: 21 August 2025Accepted: 11 January 2026Published: 21 January 2026DOI: https://doi.org/10.1038/s42949-026-00339-8Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy shareable link to clipboard
    Provided by the Springer Nature SharedIt content-sharing initiative More

  • in

    Acceptance of entomophagy among Canadians at an insectarium

    AbstractAs global food systems face mounting sustainability pressures, insects are gaining attention as a promising alternative protein source. Yet, entomophagy remains culturally unfamiliar or stigmatized in many Western countries, including Canada. This study investigates attitudes toward insect consumption among 252 adult visitors to the Montreal Insectarium, a public institution promoting insect education and biodiversity awareness. Participants completed a structured questionnaire evaluating willingness to consume various insect-based foods, motivations and barriers, and demographic predictors of acceptance. Overall, 44% of participants reported openness to eating insects (18% had previously consumed them and 26% were willing to try), though fewer were willing to include them in their regular diet (27%) or prepare them at home (17%). Acceptance was highest for products where insect content was less visible, such as baked goods made with insect flour. Key motivators included curiosity, perceived health benefits, and environmental concern, while major deterrents were disgust, food safety concerns, and insect-related fears. Ordinal logistic regression analyses revealed consistent gender effects, with men significantly more willing than women to consume a variety of insect-based foods. Men also showed greater prior experience with insect consumption and were more likely to include insects in their diets or try them in restaurants. Age alone was not a consistent predictor, but significant interactions with gender revealed a complex interplay between these predictors. Moreover, participants with graduate degrees showed greater openness to experimenting with insect-based ingredients when cooking, and prior insect consumption increased with education among women. Overall, our results show that demographic differences (especially gender and education) shape openness to entomophagy more strongly than age alone, suggesting that targeted outreach could be a better strategy than generalized promotion in encouraging insect-based food adoption.

    Similar content being viewed by others

    Bio-economic potential of ethno-entomophagy and its therapeutics in India

    Article
    Open access
    09 March 2024

    Bugs in the system: the logic of insect farming research is flawed by unfounded assumptions

    Article
    Open access
    27 February 2025

    An analysis of emerging food safety and fraud risks of novel insect proteins within complex supply chains

    Article
    Open access
    20 January 2024

    Data availability

    The data used in this study are available from the Figshare Repository: https://doi.org/10.6084/m9.figshare.29429660.
    ReferencesGodfray, H. C. J. et al. Food security: the challenge of feeding 9 billion people. Science 327, 812–818 (2010).
    Google Scholar 
    Grafton, R. Q., Daugbjerg, C. & Qureshi, M. E. Towards food security by 2050. Food Secur. 7, 179–183 (2015).
    Google Scholar 
    Kremen, C. & Merenlender, A. M. Landscapes that work for biodiversity and people. Science 362, eaau6020 (2018).
    Google Scholar 
    Hasegawa, T. et al. Food security under high bioenergy demand toward long-term climate goals. Clim. Change. 163, 1587–1601 (2020).
    Google Scholar 
    Rockström, J. et al. EAT–Lancet commission 2.0: Securing a just transition to healthy, environmentally sustainable diets for all. Lancet 402, 352–354 (2023).
    Google Scholar 
    Garnett, T. Livestock-related greenhouse gas emissions: impacts and options for policy makers. Environ. Sci. Policy. 12, 491–503 (2009).
    Google Scholar 
    Tilman, D. & Clark, M. Global diets link environmental sustainability and human health. Nature 515, 518–522 (2014).
    Google Scholar 
    Machovina, B., Feeley, K. J. & Ripple, W. J. Biodiversity conservation: the key is reducing meat consumption. Sci. Total Environ. 536, 419–431 (2015).
    Google Scholar 
    Poore, J. & Nemecek, T. Reducing food’s environmental impacts through producers and consumers. Science 360, 987–992 (2018).
    Google Scholar 
    van Huis, A. et al. Edible insects: future prospects for food and feed security. Food Agric. Organ. U N 171, 187 (2013).DiGiacomo, K. Black soldier fly larvae protein production in Australia. Anim. Front. 13, 8–15 (2023).
    Google Scholar 
    Zielińska, E., Karaś, M. & Baraniak, B. Comparison of functional properties of edible insects and protein preparations thereof. Lwt 91, 168–174 (2018).
    Google Scholar 
    Patel, S., Suleria, H. A. R. & Rauf, A. Edible insects as innovative foods: nutritional and functional assessments. Trends Food Sci. Technol. 86, 352–359 (2019).
    Google Scholar 
    Omuse, E. R. et al. The global atlas of edible insects: analysis of diversity and commonality contributing to food systems and sustainability. Sci. Rep. 14, 5045 (2024).
    Google Scholar 
    Raubenheimer, D. & Rothman, J. M. Nutritional ecology of entomophagy in humans and other primates. Annu. Rev. Entomol. 58, 141–160 (2013).
    Google Scholar 
    Kelemu, S. et al. African edible insects for food and feed: inventory, diversity, commonalities and contribution to food security. J. Insects Food Feed. 1, 103–120 (2015).
    Google Scholar 
    Dobermann, D., Swift, J. & Field, L. Opportunities and hurdles of edible insects for food and feed. Nutr. Bull. 42, 293–308 (2017).
    Google Scholar 
    Looy, H. & Wood, J. R. Attitudes toward invertebrates: are educational ‘bug banquets’ effective? J. Environ. Educ. 37, 37–48 (2006).
    Google Scholar 
    Caparros Megido, R. et al. Edible insects acceptance by Belgian consumers: promising attitude for entomophagy development. J. Sens. Stud. 29, 14–20 (2014).
    Google Scholar 
    Verbeke, W. Profiling consumers who are ready to adopt insects as a meat substitute in a Western society. Food Qual. Prefer. 39, 147–155 (2015).
    Google Scholar 
    Hartmann, C. & Siegrist, M. Becoming an insectivore: results of an experiment. Food Qual. Prefer. 51, 118–122 (2016).
    Google Scholar 
    Reed, M., Norwood, B. F., Hoback, W. W. & Riggs, A. A survey of willingness to consume insects and a measure of college student perceptions of insect consumption using Q methodology. Future Foods. 4, 100046 (2021).
    Google Scholar 
    Larouche, J. et al. The edible insect sector in Canada and the united States. Anim. Front. 13, 16–25 (2023).
    Google Scholar 
    Lähteenmäki-Uutela, A. et al. Insects as food and feed: laws of the European union, united States, Canada, Mexico, Australia, and China. Eur Food Feed Law Rev 12, 22–36 (2017).Marquis, D. Bugging the Human Diet: An interdisciplinary study on insects as future foods. (2021).Hénault-Ethier, L., Marquis, D., Dussault, M., Deschamps, M. H. & Vandenberg, G. Entomophagy knowledge, behaviours and motivations: the case of French Quebeckers. J. Insects Food Feed. 6, 245–260 (2020).
    Google Scholar 
    Elorinne, A. L., Niva, M., Vartiainen, O. & Väisänen, P. Insect consumption attitudes among vegans, non-vegan vegetarians, and omnivores. Nutrients 11, 292 (2019).
    Google Scholar 
    Woolf, E., Zhu, Y., Emory, K., Zhao, J. & Liu, C. Willingness to consume insect-containing foods: A survey in the united States. Lwt 102, 100–105 (2019).
    Google Scholar 
    Tuccillo, F., Marino, M. G. & Torri, L. Italian consumers’ attitudes towards entomophagy: influence of human factors and properties of insects and insect-based food. Food Res. Int. 137, 109619 (2020).
    Google Scholar 
    R Core Development Team. R: A Language and Environment for Statistical Computing. R Found. Stat. Comput. (2025). https://www.R-project.org/, Vienna, Austria.Christensen, R. H. B. Ordinal—Regression Models for Ordinal Data. (2023).Wickham, H. Ggplot2: Elegant Graphics for Data Analysis (Springer-Verlag, 2016).
    Google Scholar 
    Pedersen, T. L. Patchwork: The Composer of Plots. (2024).Sogari, G. Entomophagy and Italian consumers: an exploratory analysis. Prog Nutr. 17, 311–316 (2015).
    Google Scholar 
    Hartmann, C., Shi, J., Giusto, A. & Siegrist, M. The psychology of eating insects: A cross-cultural comparison between Germany and China. Food Qual. Prefer. 44, 148–156 (2015).
    Google Scholar 
    Wendin, K. M. & Nyberg, M. E. Factors influencing consumer perception and acceptability of insect-based foods. Curr. Opin. Food Sci. 40, 67–71 (2021).
    Google Scholar 
    Vanhonacker, F., Van Loo, E. J., Gellynck, X. & Verbeke, W. Flemish consumer attitudes towards more sustainable food choices. Appetite 62, 7–16 (2013).
    Google Scholar 
    Caparros Megido, R. et al. A worldwide overview of the status and prospects of edible insect production. Entomol Gen 44, 3–27 (2024).Schardong, I. S., Freiberg, J. A., Santana, N. A. & Richards, N. S. P. dos S. Brazilian consumers’ perception of edible insects. Ciênc Rural. 49, e20180960 (2019).
    Google Scholar 
    Sogari, G., Menozzi, D. & Mora, C. The food neophobia scale and young adults’ intention to eat insect products. Int. J. Consum. Stud. 43, 68–76 (2019).
    Google Scholar 
    Bartkowicz, J. Attitude toward food in aspect of risks and benefits related to the consumption of edible insects by Polish consumers. Rocz Państw Zakładu Hig 71, 67–79 (2020).Szendrő, K., Tóth, K. & Nagy, M. Z. Opinions on Insect Consumption in Hungary. Foods, 9, (2020).Moruzzo, R., Mancini, S., Boncinelli, F. & Riccioli, F. Exploring the acceptance of entomophagy: a survey of Italian consumers. Insects 12, 123 (2021).
    Google Scholar 
    Kellert, S. R. Values and perceptions of invertebrates. Conserv. Biol. 7, 845–855 (1993).
    Google Scholar 
    Dussault, M. Étude de faisabilité du déploiement de l’industrie des insectes destinés à la consommation humaine au Québec. Univ. Sherbrooke (2017). https://savoirs.usherbrooke.ca/handle/11143/10287.Florença, S. G. et al. The Motivations for Consumption of Edible Insects: A Systematic Review. Foods, 11, (2022).Cicatiello, C., De Rosa, B., Franco, S. & Lacetera, N. Consumer approach to insects as food: barriers and potential for consumption in Italy. Br. Food J. 118, 2271–2286 (2016).
    Google Scholar 
    Laureati, M., Proserpio, C., Jucker, C. & Savoldelli, S. New sustainable protein sources: consumers’ willingness to adopt insects as feed and food. Ital J. Food Sci. Ital. Sci. Degli Alimenti 28, 652–668 (2016).Schlup, Y. & Brunner, T. Prospects for insects as food in switzerland: A Tobit regression. Food Qual. Prefer. 64, 37–46 (2018).
    Google Scholar 
    Meludu, N. T. & Onoja, M. N. Determinants of edible insects consumption level in Kogi State, Nigeria. J. Agric. Ext. 22, 156–170 (2018).
    Google Scholar 
    Liu, A. J., Li, J. & Gómez M. I. Factors influencing consumption of edible insects for Chinese consumers. Insects 11, 10 (2019).
    Google Scholar 
    Pambo, K. O., Mbeche, R. M., Okello, J. J., Mose, G. N. & Kinyuru, J. N. Intentions to consume foods from edible insects and the prospects for transforming the ubiquitous biomass into food. Agric. Hum. Values. 35, 885–898 (2018).
    Google Scholar 
    Hanboonsong, Y., Jamjanya, T. & Durst, P. B. Six-legged livestock: edible insect farming, collection and marketing in Thailand. Food Agric. Organ. U. N. Regional Office for Asia and the Pacific, (2013).Looy, H., Dunkel, F. V. & Wood, J. R. How then shall we eat? Insect-eating attitudes and sustainable foodways. Agric. Hum. Values. 31, 131–141 (2014).
    Google Scholar 
    La Barbera, F., Verneau, F., Videbæk, P. N., Amato, M. & Grunert, K. G. A self-report measure of attitudes toward the eating of insects: construction and validation of the entomophagy attitude questionnaire. Food Qual. Prefer. 79, 103757 (2020).
    Google Scholar 
    Verneau, F., Zhou, Y., Amato, M., Grunert, K. G. & La Barbera, F. Cross-validation of the entomophagy attitude questionnaire (EAQ): A study in China on eaters and non-eaters. Food Qual. Prefer. 87, 104029 (2021).
    Google Scholar 
    Sneyd, L. Q. Wild food, prices, diets and development: sustainability and food security in urban Cameroon. Sustainability 5, 4728–4759 (2013).
    Google Scholar 
    Stone, H., FitzGibbon, L., Millan, E. & Murayama, K. Curious to eat insects? Curiosity as a key predictor of willingness to try novel food. Appetite 168, 105790 (2022).
    Google Scholar 
    Pelchat, M. L. & Pliner, P. Try it. You’ll like it. Effects of information on willingness to try novel foods. Appetite 24, 153–165 (1995).
    Google Scholar 
    Drewnowski, A. Taste preferences and food intake. Annu. Rev. Nutr. 17, 237–253 (1997).
    Google Scholar 
    Slade, P. If you build it, will they eat it? Consumer preferences for plant-based and cultured meat burgers. Appetite 125, 428–437 (2018).
    Google Scholar 
    Bekker, G. A., Fischer, A. R. H., Tobi, H. & van Trijp, H. C. M. Explicit and implicit attitude toward an emerging food technology: the case of cultured meat. Appetite 108, 245–254 (2017).
    Google Scholar 
    Alhujaili, A., Nocella, G. & Macready, A. Insects as food: consumers’ acceptance and marketing. Foods 12, 886 (2023).
    Google Scholar 
    Download referencesAcknowledgementsWe thank two anonymous reviewers for helpful comments and suggestions, which improved the quality of the manuscript. We are grateful to the Insectarium of Montreal for their support in facilitating the administration of this survey on-site. We extend special thanks to Chantale Loiselle and Sophie Malouin for their assistance and cooperation throughout the data collection process. We are also sincerely thankful to all participants for their time and enthusiasm.FundingThis research was supported by grants from NSERC CRC Tier 2 (CRC-2022-00134) and an NSERC Discovery Grant (RGPIN-2024-04564).Author informationAuthors and AffiliationsDepartment of Psychology, Concordia University, 7141 Sherbrooke St. W., Montreal, QC, H4B 1R6, CanadaNadezhda VelchovskaBiology Department, Concordia University, 7141 Sherbrooke St. W., Montreal, QC, H4B 1R6, CanadaRassim KhelifaAuthorsNadezhda VelchovskaView author publicationsSearch author on:PubMed Google ScholarRassim KhelifaView author publicationsSearch author on:PubMed Google ScholarContributionsN.V.: conceptualization, data curation, formal analysis, visualization, investigation, writing—original draft, writing—review and editing: R.K.: conceptualization, funding acquisition, formal analysis, visualization, methodology, writing—original draft, writing—review and editing.All authors gave final approval for publication and agreed to be held accountable for the work performed therein.Corresponding authorCorrespondence to
    Rassim Khelifa.Ethics declarations

    Competing interests
    The authors declare no competing interests.

    Ethical approval
    Ethical approval (Certification Number: 30020523) was obtained from Concordia University.

    Additional informationPublisher’s noteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Supplementary InformationBelow is the link to the electronic supplementary material.Supplementary Material 1Rights and permissions
    Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
    Reprints and permissionsAbout this articleCite this articleVelchovska, N., Khelifa, R. Acceptance of entomophagy among Canadians at an insectarium.
    Sci Rep (2026). https://doi.org/10.1038/s41598-026-35288-wDownload citationReceived: 28 June 2025Accepted: 05 January 2026Published: 21 January 2026DOI: https://doi.org/10.1038/s41598-026-35288-wShare this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy shareable link to clipboard
    Provided by the Springer Nature SharedIt content-sharing initiative
    KeywordsInsect consumptionAlternative proteinConsumer attitudesGenderCulinary innovationEnvironmental sustainabilityCanada More

  • in

    An efficient and consistent framework for multi-rank taxonomic identification in wildlife images

    AbstractAccurate and scalable taxonomic classification is essential for biodiversity research, supporting systematic species identification across multiple hierarchical ranks. However, current image-based classification methods often fail to enforce taxonomic consistency, a critical limitation that undermines the reliability of their outputs for scientific use. Additionally, field-based biodiversity studies are constrained by limited computational resources and network availability on edge devices. To address these challenges, this paper proposes TaxonomyNet, an ensemble detection model with six independent heads for taxonomic classification, achieving high detection performance across all ranks (mAP: 90.7–99.75%) after training on a dataset of 50 Australian animal species. Furthermore, to resolve the core challenge of prediction inconsistency, we introduce the Weighted Agreement Loss (WAL) metric–a confidence-weighted disagreement measure designed to enforce structural coherence between predicted outputs and a reference taxonomy. Crucially, the application of this consistency-enforcing mechanism enhances hierarchical classification reliability, improving final species-level accuracy by up to 3.87% compared to baseline and recent published domain-specific foundation models, while also demonstrating superior computational efficiency, reducing delay by 22 minutes across 1500 samples and making it highly suitable for deployment on edge devices. This work provides a practical and extensible solution for reliable hierarchical classification in real-world biodiversity monitoring scenarios.

    Similar content being viewed by others

    Maximizing citizen scientists’ contribution to automated species recognition

    Article
    Open access
    10 May 2022

    Assessing the potential for deep learning and computer vision to identify bumble bee species from images

    Article
    Open access
    07 April 2021

    Leveraging limited data from wildlife monitoring in a conflict affected region in Venezuela

    Article
    Open access
    19 January 2024

    Data availability

    The dataset of 50 species used in this study is publicly available at https://cutt.ly/gwqHHm8D. The datasets used for the higher taxonomic ranks (genus, family, order, class, and phylum) are derived from the same underlying image collection but differ in naming conventions and label structures. These higher-rank datasets can be provided by the corresponding author upon reasonable request.
    ReferencesMayr, E. Systematics and the origin of species, from the viewpoint of a zoologist (Harvard University Press, 1999).Swanson, A. et al. Data from: Snapshot serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African Savanna. https://doi.org/10.5061/dryad.5pt92(2015).Moallem, G., Pathirage, D. D., Reznick, J., Gallagher, J. & Sari-Sarraf, H. An explainable deep vision system for animal classification and detection in trail-camera images with automatic post-deployment retraining. Knowl.-Based Syst.216, 106815. https://doi.org/10.1016/j.knosys.2021.106815 (2021).
    Google Scholar 
    Martvel, G. et al. Dog facial landmarks detection and its applications for facial analysis. Sci. Rep.15, 21886. https://doi.org/10.1038/s41598-025-07040-3 (2025).
    Google Scholar 
    Cao, Z. et al. Semi-automated annotation for video-based beef cattle behavior recognition. Sci. Rep.15, 1–16. https://doi.org/10.1038/s41598-025-01948-6 (2025).
    Google Scholar 
    Li, R. et al. Open-vocabulary multi-object tracking with domain generalized and temporally adaptive features. IEEE Trans. Multimedia27, 3009–3022. https://doi.org/10.1109/TMM.2025.3557619 (2025).
    Google Scholar 
    Horton, T. et al. Recommendations for the standardisation of open taxonomic nomenclature for image-based identifications. Front. Marine Sci.8, https://doi.org/10.3389/fmars.2021.620702 (2021).Mulero-Pázmány, M. et al. Addressing significant challenges for animal detection in camera trap images: A novel deep learning-based approach. Sci. Rep.15, 1–18. https://doi.org/10.1038/s41598-025-90249-z (2025).
    Google Scholar 
    Vidal, M., Wolf, N., Rosenberg, B., Harris, B. P. & Mathis, A. Perspectives on individual animal identification from biology and computer vision. Integr. Comp. Biol.61, 900–916. https://doi.org/10.1093/icb/icab107 (2021).
    Google Scholar 
    Tang, J., Zhao, Y., Feng, L. & Zhao, W. Contour-based wild animal instance segmentation using a few-shot detector. Animals12, https://doi.org/10.3390/ani12151980 (2022).Roy, A. M., Bhaduri, J., Kumar, T. & Raj, K. Wildect-yolo: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection. Eco. Inform.75, 101919. https://doi.org/10.1016/j.ecoinf.2022.101919 (2023).
    Google Scholar 
    Simões, F., Bouveyron, C. & Precioso, F. Deepwild: Wildlife identification, localisation and estimation on camera trap videos using deep learning. Eco. Inform.75, 102095. https://doi.org/10.1016/j.ecoinf.2023.102095 (2023).
    Google Scholar 
    Chen, G. et al. Deep reinforcement learning-based cloud-edge offloading for WBANS. IEEE Trans. Consum. Electron. 1–1, https://doi.org/10.1109/TCE.2024.3504545 (2024).Ong, S.-Q. & Hamid, S. A. Next generation insect taxonomic classification by comparing different deep learning algorithms. PLoS ONE17, 1–11. https://doi.org/10.1371/journal.pone.0279094 (2022).
    Google Scholar 
    Bjerge, K. et al. Hierarchical classification of insects with multitask learning and anomaly detection. Ecol. Inform.77, 102278. https://doi.org/10.1016/j.ecoinf.2023.102278 (2023).
    Google Scholar 
    Chavez, R. K. E., Reynoso, K. G. M., Raquel, C. R. & Naval, P. C. Leveraging large image-caption datasets for multimodal taxon classification. In Nguyen, N. T. et al. (eds.) Recent Challenges in Intelligent Information and Database Systems, 13–24, https://doi.org/10.1007/978-981-97-5934-7_2 (Springer Nature Singapore, Singapore, 2024).Zavadskas, E. K., Turskis, Z. & Kildienė, S. State of art surveys of overviews on MCDM/MADM methods. Technol. Econ. Dev. Econ.20, 165–179. https://doi.org/10.3846/20294913.2014.892037 (2014).
    Google Scholar 
    Huang, I. B., Keisler, J. & Linkov, I. Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends. Sci. Total Environ.409, 3578–3594. https://doi.org/10.1016/j.scitotenv.2011.06.022 (2011).
    Google Scholar 
    Diaby, V., Campbell, K. & Goeree, R. Multi-criteria decision analysis (MCDA) in health care: A bibliometric analysis. Op. Res. Health Care2, 20–24. https://doi.org/10.1016/j.orhc.2013.03.001 (2013).
    Google Scholar 
    Musbah, H., Ali, G., Aly, H. H. & Little, T. A. Energy management using multi-criteria decision making and machine learning classification algorithms for intelligent system. Electric Power Syst. Res.203, 107645. https://doi.org/10.1016/j.epsr.2021.107645 (2022).
    Google Scholar 
    Phulara, S., Kumar, A., Narang, M. & Bisht, K. A novel hybrid grey-BCM approach in multi-criteria decision making: An application in OTT platform. J. Dec. Anal. Intell. Comput.4, 1–15. https://doi.org/10.31181/jdaic10016012024p (2024).
    Google Scholar 
    Shao, M. et al. A review of multi-criteria decision making applications for renewable energy site selection. Renew. Energy157, 377–403. https://doi.org/10.1016/j.renene.2020.04.137 (2020).
    Google Scholar 
    Ali, R., Lee, S. & Chung, T. C. Accurate multi-criteria decision making methodology for recommending machine learning algorithm. Expert Syst. Appl.71, 257–278. https://doi.org/10.1016/j.eswa.2016.11.034 (2017).
    Google Scholar 
    Tzeng, G.-H. & Huang, J.-J. Multiple attribute decision making: Methods and applications 1st edn. (A Chapman and Hall book, Taylor & Francis, 2011).Kosmopoulos, A., Partalas, I., Gaussier, E., Paliouras, G. & Androutsopoulos, I. Evaluation measures for hierarchical classification: A unified view and novel approaches. Data Min. Knowl. Disc.29, 820–865. https://doi.org/10.1007/s10618-014-0382-x (2015).
    Google Scholar 
    Utkin, L. V., Konstantinov, A. V., Chukanov, V. S., Kots, M. V. & Meldo, A. A. An adaptive weighted deep forest classifier. https://doi.org/10.48550/arXiv.1901.01334 (2019). arXiv:1901.01334.Hafezalkotob, A., Hafezalkotob, A., Liao, H. & Herrera, F. An overview of multimoora for multi-criteria decision-making: Theory, developments, applications, and challenges. Inf. Fus.51, 145–177. https://doi.org/10.1016/j.inffus.2018.12.002 (2019).
    Google Scholar 
    Khosravi, K. et al. A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods. J. Hydrol.573, 311–323. https://doi.org/10.1016/j.jhydrol.2019.03.073 (2019).
    Google Scholar 
    Secretariat, T. G. What is GBIF? https://www.gbif.org/what-is-gbif (2025). Accessed: 24 June 2025.Zhang, Q., Ahmed, K., Sharda, N. & Wang, H. Australian animal species selection and image data collection. In 2023 27th International Conference Information Visualisation (IV), 55–63, https://doi.org/10.1109/IV60283.2023.00020 (IEEE, 2023).Zhang, Q., Ahmed, K., Khan, M. I., Wang, H. & Qu, Y. Yolo-FCE: A feature and clustering enhanced object detection model for species classification. Pattern Recogn.171, 112218. https://doi.org/10.1016/j.patcog.2025.112218 (2026).
    Google Scholar 
    Jiang, A. Q. et al. Mistral 7b, https://doi.org/10.48550/arXiv.2310.06825 (2023). arXiv:2310.06825.Bai, J. et al. Qwen technical report. https://doi.org/10.48550/arXiv.2309.16609 (2023). arXiv:2309.16609.Team, G. et al. Gemma: Open models based on gemini research and technology. https://doi.org/10.48550/arXiv.2403.08295 (2024). arXiv:2403.08295Touvron, H. et al. Llama: Open and efficient foundation language models (2023). arXiv:2302.13971.Stevens, S. et al. Bioclip: A vision foundation model for the tree of life (2024). arXiv:2311.18803.Download referencesAcknowledgementsThe authors would like to acknowledge Victoria University for supporting the publication of this work. We also thank the Australian Research Data Commons (ARDC) Nectar Research Cloud for providing cloud infrastructure and remote servers, which enabled all machine learning training conducted in this study.FundingThis research received no external funding.Author informationAuthors and AffiliationsInstitute for Sustainable Industries & Liveable Cities (ISILC), Victoria University, 70/104 Ballarat Rd, Melbourne, 3011, AustraliaQianqian Zhang, Khandakar Ahmed, Chenhao Xu, Muhammad Imad Khan & Hua WangAuthorsQianqian ZhangView author publicationsSearch author on:PubMed Google ScholarKhandakar AhmedView author publicationsSearch author on:PubMed Google ScholarChenhao XuView author publicationsSearch author on:PubMed Google ScholarMuhammad Imad KhanView author publicationsSearch author on:PubMed Google ScholarHua WangView author publicationsSearch author on:PubMed Google ScholarContributionsQ.Z. and K.A. conceived the study. K.A., Q.Z., C.X., and M.I.K. contributed to the experimental design and refinement. Q.Z. collected the data, conducted the experiments, and performed data analysis and model development. K.A., C.X., M.I.K., and H.W. provided supervision and critical feedback. All authors reviewed and approved the final manuscript.Corresponding authorCorrespondence to
    Qianqian Zhang.Ethics declarations

    Competing interests
    We would like to disclose that one of the co-authors of this manuscript, Professor Hua Wang, is a member of the Scientific Reports Editorial Board. However, we confirm that there have been no prior discussions with Professor Wang or any other Editorial Board Member regarding the content or submission of this manuscript. All co-authors, including Professor Wang, have adhered to the journal’s policies to ensure a transparent and unbiased submission process.

    Additional informationPublisher’s noteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Supplementary InformationSupplementary Information 1.Supplementary Information 2.Supplementary Information 3.Rights and permissions
    Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
    Reprints and permissionsAbout this articleCite this articleZhang, Q., Ahmed, K., Xu, C. et al. An efficient and consistent framework for multi-rank taxonomic identification in wildlife images.
    Sci Rep (2026). https://doi.org/10.1038/s41598-025-34944-xDownload citationReceived: 21 July 2025Accepted: 31 December 2025Published: 21 January 2026DOI: https://doi.org/10.1038/s41598-025-34944-xShare this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy shareable link to clipboard
    Provided by the Springer Nature SharedIt content-sharing initiative
    KeywordsImage recognitionYOLODeep learningAustralian speciesConvolutional neural network More

  • in

    Effect of Solanum rostratum Dunal litter extract on its seedling growth

    Abstract

    Allelopathy is one of the important mechanisms for the spread and expansion of invasive alien plants. The current research mainly focuses on interspecific allelopathy, while there are relatively few studies on intraspecific allelopathy. Solanum rostratum Dunal is an annual invasive plant with strong invasiveness, the secondary metabolites produced by the litter of S. rostratum can accumulate in the soil, and may affect the growth of its own seedlings. Therefore, it is of great significance to clarify the intraspecific allelopathy of S. rostratum for understanding the invasion mechanism or proposing new prevention and control strategies. In this study, the extract of S. rostratum litter was used to treat its seedlings, and the soil physical and chemical properties, soil metabolites, and soil microorganisms were measured to analyze their correlation with the growth of seedlings. The results showed that 0.1 and 1 g L− 1 treatment significantly promoted the leaf area and biomass of seedlings, while 10 g L− 1 treatment significantly inhibited plant height, leaf area index, biomass, net photosynthetic rate, transpiration rate, and stomatal conductance. Some bacteria, such as Brevundimonas alba, Brevundimonas, Altererythribacter, Novosphingobium resinovorum, and Novosphingobium exhibited a higher abundance under 10 g L− 1 treatment, showed a negative correlation with seedling growth. And 25 metabolites detected in the soil, such as 2-Aminobenzoic acid, 2, 6-dibromophenol and palmitaldehyde, could as autotoxins for subsequent functional validation. The results can not only supplement the invasion mechanism of invasive plants from the perspective of intraspecific allelopathy, but also provide theoretical support for formulating control strategies for the S. rostratum.

    Data availability

    The sequencing data have been deposited in the National Center for Biotechnology Information Sequence Read Archive database (http://www.ncbi.nlm.nih.gov/sra) with BioProject accession number PRJNA1274989.
    ReferencesDostál, P., Müllerová, J., Pyšek, P., Pergl, J. & Klinerová, T. The impact of an invasive plant changes over time. Ecol. Lett. 16, 1277–1284. https://doi.org/10.1111/ele.12166 (2013).
    Google Scholar 
    Macel, M., de Vos, R. C. H., Jansen, J. J., van der Putten, W. H. & van Dam, N. M. Novel chemistry of invasive plants: exotic species have more unique metabolomic profiles than native congeners. Ecol. Evol. 4, 2777–2786. (2014). https://doi.org/10.1002/ece3.1132ece3.1132.Rice, E. L. & Allelopathy 2nd ed. Academic (1984).Bu, R. F. et al. Silencing the novel gene CsARR-9 increases photosynthetic efficiency and alleviates autotoxicity in cucumber. Sci. Hortic-amsterdam. 320 https://doi.org/10.1016/j.scienta.2023.112160 (2023).Cao, L. S. et al. Endophytic Pseudomonas fluorescens relieves intraspecific allelopathy of Atractylodes lancea by reducing ethylene transportation. BMC. Plant. Biol. 24, 1095. https://doi.org/10.1186/s12870-024-05826-7 (2024).Kaur, R., Malhotra, S. & Inderjit Effects of invasion of Mikania Micrantha on germination of rice seedlings, plant richness, chemical properties and respiration of soil. Biol. Fert Soils. 48, 481–488 (2012). https://doi.org/10.1007/s00374-011-0645-2
    Google Scholar 
    Kong, Y. H. et al. Effect of Ageratina adenophora invasion on the composition and diversity of soil microbiome. J. Gen. Appl. Microbiol. 63, 114–121. https://doi.org/10.2323/jgam.2016.08.002 (2017).Strayer, L. D. Eight questions about invasions and ecosystem functioning. Ecol. Lett. 15, 1199–1210. https://doi.org/10.1111/j.1461-0248.2012.01817.x (2012).
    Google Scholar 
    Mitchell, M. E. et al. Time-dependent impacts of cattail invasion in a great lakes coastal wetland complex. Wetlands 31, 1143–1149 (2011). https://doi.org/10.1007/s13157-011-0225-0
    Google Scholar 
    Dorning, M. & Cipollini, D. Leaf and root extracts of the invasive shrub, Lonicera maackii, inhibit seed germination of three herbs with no autotoxic effects. Plant. Ecol. 184, 287–296 (2006). https://doi.org/10.1007/s11258-005-9073-4
    Google Scholar 
    Effah, E. & Clavijo, M. A. Invasive plants’ root extracts display stronger allelopathic activity on the germination and seedling growth of a new Zealand native species than extracts of another native plant or conspecifics. J. Chem. Ecol. 50, 1086–1097 (2024). https://doi.org/10.1007/s10886-024-01550-6
    Google Scholar 
    Su, P. et al. Autotoxicity of Ambrosia Artemisiifolia and Ambrosia trifida and its significance for the regulation of intraspecific populations density. Sci. Rep. 12, 17424 (2022). https://doi.org/10.1038/s41598-022-21344-8
    Google Scholar 
    Wu, A. P. et al. Invasive ageratina adenophora can maintain its ecological advantages over time through releasing its autotoxicity by accumulating a bacterium Bacillus cereus. Heliyon 9, e12757. https://doi.org/10.1016/j.heliyon.2022.e12757 (2023).
    Google Scholar 
    Wei, S. H. et al. Rapid and effective methods for breaking seed dormancy in Buffalobur (Solanum rostratum). Weed Sci. 58, 141–146. https://doi.org/10.1614/WS-D-09-00005.1 (2010).
    Google Scholar 
    Eminniyaz, A. et al. Dispersal mechanisms of the invasive alien plant species Buffalobur (Solanum rostratum) in cold desert sites of Northwest China. Weed Sci. 61, 557–563. https://doi.org/10.1614/ws-d-13-00011.1 (2013).
    Google Scholar 
    Satyal, P., Maharjan, S. & Setzer, W. (ed, N.) Volatile constituents from the leaves, fruits (berries), stems and roots of solanum xanthocarpum from Nepal. Nat. Prod. Commun. 10 361–364 https://doi.org/10.1177/1934578X1501000239 (2015).
    Google Scholar 
    Zhou, S. X. et al. Chemical composition and allelopathic potential of the invasive plant Solanum rostratum Dunal essential oil. Flora 274, 151730. https://doi.org/10.1016/j.flora.2020.151730 (2021). Sun, J. K. et al. Advantages of growth and competitive ability of the invasive plant solanum rostratum over two co-occurring natives and the effects of nitrogen levels and forms. Front. Plant. Sci. 14, 1169317. https://doi.org/10.3389/fpls.2023.1169317 (2023).
    Google Scholar 
    Lin, Y. & Tan, D. Y. The potential and exotic invasive plant: Solanum rostratum. Acta. Phytotaxon. Sin. 45, 675–685. https://doi.org/10.1360/aps07010 (2007). Matzrafi, M. et al. Solanum elaeagnifolium and S. rostratum as potential hosts of the tomato brown rugose fruit virus. PLoS ONE. 18, e0282441 (2023). https://doi.org/10.1371/journal.pone.0282441
    Google Scholar 
    Abu-Nassar, J., Gal, S., Shtein, I., Distelfeld, A. & Matzrafi, M. Functional leaf anatomy of the invasive weed solanum rostratum Dunal. Weed Res. 62, 172–180. https://doi.org/10.1111/wre.12527 (2022).
    Google Scholar 
    Vega-Polanco, M., Solís-Montero, L., Vallejo-Marín, M., Arévalo-Monterrubio, L. D. & García-Crisóstomo, J. F. Reproductive strategy of an invasive buzz-pollinated plant (Solanum rostratum). S Afr. J. Bot. 162, 342–352. https://doi.org/10.1016/j.sajb.2023.09.020 (2023).
    Google Scholar 
    Zhao, J. L. & Lou, A. R. Genetic diversity and population structure of the invasive plant solanum rostratum in China. Russ J. Ecol. 48, 134–142. https://doi.org/10.1134/s1067413617220039 (2017).
    Google Scholar 
    Wang, W. B. et al. First record of field dodder (Cuscuta campestris) parasitizing invasive Buffalobur (Solanum rostratum). J. Plant. Pathol. 102, 703–707 (2020). https://doi.org/10.1007/s42161-020-00578-3
    Google Scholar 
    Bah, M. et al. Methylprotodioscin from the Mexican medical plant Solanum rostratum (Solanaceae). Biochem. Syst. Ecol. 32, 197–202 (2004). https://doi.org/10.1016/S0305-1978(03)00172-8.
    Google Scholar 
    Shao, M. N. et al. A preliminary study on allelopathy and potential allelochemicals of root exudates from Solanum rostratum Dunal. Biotechnol. J. Int. 26, 31–39 (2022). https://doi.org/10.9734/BJI/2022/v26i130163
    Google Scholar 
    Liu, Z. X. et al. Phenylpropanoid amides from Solanum rostratum and their phytotoxic activities against Arabidopsis thaliana. Front. Plant. Sci. 14, 1174844. https://doi.org/10.3389/FPLS.2023.1174844 (2023).Ozuzu, S. A. et al. Buffalo-bur (Solanum rostratum Dunal) invasiveness, bioactivities, and utilization: a review. Peer J. 12, e17112 (2024). https://doi.org/10.7717/peerj.17112
    Google Scholar 
    Liu, C. et al. Secondary metabolites from Solanum rostratum and their antifeedant defense mechanisms against Helicoverpa armigera. J. Agric. Food. Chem. 68, 88–96. https://doi.org/10.1021/acs.jafc.9b06768 (2020).Erida, G., Saidi, N. & Hasanuddin, S. Allelopathic screening of several weed species as potential bioherbicides. IOP Conf. Ser: Earth Environ. Sci. 334, 012034 (2019). https://doi.org/10.1088/1755-1315/334/1/012034
    Google Scholar 
    Dewi, M. R. & Arfi, M. S. Concentration effect of ethanol extract Pinus Merkusii leaves litter on Zea Mays L. seed germination. J. Phys. Conf. Ser. 1783, 012003 (2021). https://doi.org/10.1088/1742-6596/1783/1/012003
    Google Scholar 
    Chabili, A. et al. Effects of extraction methods on the plant biostimulant activity of the soil microalga Chlorella vulgaris. J. Appl. Phycol. 36, 3301–3314 (2024). https://doi.org/10.1007/s10811-024-03328-5
    Google Scholar 
    Ahmad, H. A. R. The effect of spraying with plant extracts on some growth characteristics and active ingredients of Basil plant. IOP Conf. Ser: Earth Environ. Sci. 1371, 052003 (2024). https://doi.org/10.1088/1755-1315/1371/5/052003
    Google Scholar 
    Wang, J. Y. et al. Analyzing the interaction between native plants Ficus tikoua Bur. and invasive plant Alternanthera philoxeroides. Sci. Hortic-amsterdam. 341, 113985. https://doi.org/10.1016/j.scienta.2025.113985 (2025).Spitz, D. R. & Oberley, L. W. An assay for superoxide dismutase activity in mammalian tissue homogenates. Anal. Biochem. 179, 8–18. https://doi.org/10.1016/0003-2697(89)90192-9 (1989).
    Google Scholar 
    Chance, B. & Maehly, A. C. [136] assay of catalases and peroxidases. Methods. Enzymol. 2, 764–775. https://doi.org/10.1016/s0076-6879(55)02300-8 (1955).Dazy, M., Jung, V., Férard, J. F. & Masfaraud, J. F. Ecological recovery of vegetation on a coke-factory soil: role of plant antioxidant enzymes and possible implications in site restoration. Chemosphere 74, 57–63. https://doi.org/10.1016/j.chemosphere.2008.09.014 (2008).Keya, S. S. et al. Salicylic acid application improves photosynthetic performance and biochemical responses to mitigate saline stress in cotton. J. Plant. Growth Regul. 42, 5881–5894 (2023). https://doi.org/10.1007/s00344-023-10974-5
    Google Scholar 
    Xue, X. X. et al. Litter removal and nitrogen deposition alter soil microbial community composition and diversity in a typical rubber (Hevea brasiliensis) plantation of Hainan, China. Appl. Soil. Ecol. 208, 105969. https://doi.org/10.1016/J.APSOIL.2025.105969 (2025).
    Google Scholar 
    Sarkar, D. Physical and Chemical Methods in Soil Analysis (New Age International , 2005)Olsen, S. R., Cole, C. V., Watanabe, F. S. & Dean, L. A. Estimation of Available Phosphorus in Soils by Extraction with Sodium Bicarbonate (No. 939) (Department of Agriculture Circular, 1954).Rasmussen, J. A. et al. A multi-omics approach unravels metagenomic and metabolic alterations of a probiotic and synbiotic additive in rainbow trout (Oncorhynchus mykiss). Microbiome 10, 21. https://doi.org/10.1186/s40168-021-01221-8 (2022).
    Google Scholar 
    Navarro-Reig, M., Jaumot, J., García-Reiriz, A. & Tauler, R. Evaluation of changes induced in rice metabolome by cd and Cu exposure using LC-MS with XCMS and MCR-ALS data analysis strategies. Anal. Bioanal Chem. 407, 8835–8847 (2015). https://doi.org/10.1007/s00216-015-9042-2
    Google Scholar 
    Wang, Q., Garrity, G. M., Tiedje, J. M. & Cole, J. R. Naive bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 73, 5261–5267. https://doi.org/10.1128/AEM.00062-07 (2007).
    Google Scholar 
    Thévenot, E. A., Roux, A., Xu, Y., Ezan, E. & Junot, C. Analysis of the human adult urinary metabolome variations with age, body mass index, and gender by implementing a comprehensive workflow for univariate and OPLS statistical analyses. J. Proteome. Res. 14, 3322–3335. https://doi.org/10.1021/acs.jproteome.5b00354 (2015).Xia, J. G. & Wishart, D. S. Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst. Nat. Protoc. 6, 743–760. https://doi.org/10.1038/nprot.2011.319 (2011).Deng, J. J. et al. Autotoxicity of phthalate esters in tobacco root exudates: effects on seed germination and seedling growth. Pedosphere 27, 1073–1082. https://doi.org/10.1016/S1002-0160(17)60374-6 (2017).Wang, C. Y., Wu, B. D. & Jiang, K. Allelopathic effects of Canada goldenrod leaf extracts on the seed germination and seedling growth of lettuce reinforced under salt stress. Ecotoxicology 28, 103–116. https://doi.org/10.1007/s10646-018-2004-7 (2019).
    Google Scholar 
    Yuan, Y. D., Zuo, J. J., Zhang, H. Y., Zu, M. T. & Liu, S. A. The Chinese medicinal plants rhizosphere: metabolites, microorganisms, and interaction. Rhizosphere 22, 100540. https://doi.org/10.1016/j.rhisph.2022.100540 (2022).
    Google Scholar 
    Wang, K. L. et al. Seed germination and seedling growth response of Leymus chinensis to the allelopathic influence of grassland plants. Oecologia 204, 899–913 (2024). https://doi.org/10.1007/s00442-024-05539-6
    Google Scholar 
    Huang, X. L. et al. Autotoxicity hinders the natural regeneration of Cinnamomum Migao H. W. Li in Southwest China. Forests 10, 919 (2019). https://doi.org/10.3390/f10100919.
    Google Scholar 
    Zhang, Z. Z. et al. Effects of autotoxicity on seed germination, gas exchange attributes and chlorophyll fluorescence in melon seedlings. J. Plant. Growth. Regul. 41, 1–11. https://doi.org/10.1007/s00344-021-10355-w (2021).Zhu, L. Q. et al. Litter, root, and mycorrhiza manipulations and seasonal effects on soil physicochemical properties and microbial communities in a subtropical coniferous and broad-leaved mixed forest. Appl. Soil. Ecol. 204, 105721. https://doi.org/10.1016/J.APSOIL.2024.105721 (2024).
    Google Scholar 
    Prescott, C. E. & Zukswert, J. M. Invasive plant species and litter decomposition: time to challenge assumptions. ‌New. Phytol. 209, 5–7. https://doi.org/10.1111/nph.13741 (2016).Chomel, M. et al. Plant secondary metabolites: a key driver of litter decomposition and soil nutrient cycling. J. Ecol. 104, 1527–1541. https://doi.org/10.1111/1365-2745.12644 (2016).
    Google Scholar 
    Haichar, F. et al. Root exudates mediated interactions belowground. Soil. Biol. Biochem. 77, 69–80. https://doi.org/10.1016/j.soilbio.2014.06.017 (2014).
    Google Scholar 
    Wardle, D. A. et al. Ecological linkages between aboveground and belowground biota. Science 304, 1629–1633 (2004). https://doi.org/10.1126/science.1094875
    Google Scholar 
    Kaur, R. & Malhotra, S. Inderjit. Effects of invasion of Mikania Micrantha on germination of rice seedlings, plant richness, chemical properties and respiration of soil[J]. Biol. Fertil. Soils. 48, 481–488 (2012). https://doi.org/10.1007/s00374-011-0645-2
    Google Scholar 
    Hoang, L. et al. Growth inhibitor of lettuce seedlings from Bacillus cereus EJ-1 21. Plant. Growth Regul. 47, 149–154 (2005). https://doi.org/10.1007/s10725-005-3217-3
    Google Scholar 
    Hoang, L., Song, K. S., Rhee, I. K., Kim, J. H. & Lee, S. Mechanism by which Bacillus-Derived 2-Aminobenzoic acid inhibits the growth of Arabidopsis Thaliana roots. J. Plant. Biol. 50, 514–516. https://doi.org/10.1007/BF03030692 (2007).
    Google Scholar 
    Bais, H. P., Park, S. W., Weir, T. L., Callaway, R. M. & Vivanco, J. M. How plants communicate using the underground information superhighway. Trends. Plant. Sci. 9, 26–32. https://doi.org/10.1016/j.tplants.2003.11.008 (2004).Abbas, M., Giannino, F., Iuorio, A., Ahmad, Z. & Calabró, F. PDE models for vegetation biomass and autotoxicity. Math. Comput. Simulat. 228, 386–401. https://doi.org/10.1016/j.matcom.2024.07.004 (2025).
    Google Scholar 
    Bell, T., Newman, J. A., Silverman, B. W., Turner, S. L. & Lilley, A. K. The contribution of species richness and composition to bacterial services. Nature 436, 1157–1160. https://doi.org/10.1038/nature03891 (2005).Zhou, X. G. et al. p-Coumaric can alter the composition of cucumber rhizosphere microbial communities and induce negative plant-microbial interactions. Biol. Fertil. Soils. 54, 363–372. https://doi.org/10.1007/s00374-018-1265-x (2018).
    Google Scholar 
    Vaughn, S. F. & Berhow, M. A. Allelochemicals isolated from tissues of the invasive weed Garlic mustard (Alliaria petiolata). J. Chem. Ecol. 25, 2495–2504. https://doi.org/10.1023/A:1020874124645 (1999).
    Google Scholar 
    Roberts, K. J. & Anderson, R. C. Effects of Garlic mustard (Alliaria petiolata (Beib. Cavara and Grande)) extracts on plants and arbuscular mycorrhizal (AM) fungi. Am. Midl. Nat. 146, 146–152. https://doi.org/10.1674/0003-0031(2001)146[0146:EOGMAP]2.0.CO;2 (2001).
    Google Scholar 
    Download referencesFundingThis research was supported by a special grant from the Natural Science Foundation of the Xinjiang Uygur Autonomous Region (grant number: 2023D01B37), the National Natural Science Foundation of China (32460684), the Xinjiang Key Laboratory of Soil and Plant Ecological Processes (grant number: 23XJTRZW19) and the Major Science and Technology Public Relations Project Fund of the Science and Technology Department of Xinjiang Uygur Autonomous Region (2023A02006).Author informationAuthor notesThese authors contributed equally: Yuxuan Ma and Lamei Jiang.Authors and AffiliationsXinjiang Key Laboratory for Ecological Adaptation and Evolution of Extreme Environment Organisms, College of Life Sciences, Xinjiang Agricultural University, Ürümqi, 830052, ChinaYuxuan Ma, Lamei Jiang, Shuai Liu, Huixian Liu, Juan Qiu, Shanshan Wang & Dunyan TanCollege of Chemistry, Xinjiang University, Ürümqi, PR ChinaShuai LiuXinjiang Key Laboratory of Soil and Plant Ecological Processes, College of Resources and Environment, Xinjiang Agricultural University, Ürümqi, ChinaGuohao ZhaiState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Ürümqi, 830011, ChinaDunyan TanAuthorsYuxuan MaView author publicationsSearch author on:PubMed Google ScholarLamei JiangView author publicationsSearch author on:PubMed Google ScholarShuai LiuView author publicationsSearch author on:PubMed Google ScholarHuixian LiuView author publicationsSearch author on:PubMed Google ScholarGuohao ZhaiView author publicationsSearch author on:PubMed Google ScholarJuan QiuView author publicationsSearch author on:PubMed Google ScholarShanshan WangView author publicationsSearch author on:PubMed Google ScholarDunyan TanView author publicationsSearch author on:PubMed Google ScholarContributionsConceptualization, S. Wang and D. Tan; methodology, S. Wang; formal analysis, Y. Ma, H. Liu and L. Jiang; investigation, Y. Ma, L. Jiang, H. Liu and G. Zhai; resources, Y. Ma, and J. Qiu; data curation, Y. Ma, L. Jiang and S. L; writing—original draft preparation and the revision of the article, Y. Ma, L. Jiang, S. W; writing—review and editing, S. Wang and D. Tan; supervision, S. Wang and D. Tan; project administration, S. Wang and D. Tan; funding acquisition, S. Wang and D. Tan. All the authors have read and agreed to the published version of the manuscript.Corresponding authorsCorrespondence to
    Shanshan Wang or Dunyan Tan.Ethics declarations

    Competing interests
    The authors declare no competing interests.

    Declaration of competing interest
    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

    Additional informationPublisher’s noteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Supplementary InformationBelow is the link to the electronic supplementary material.Supplementary Material 1Rights and permissions
    Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
    Reprints and permissionsAbout this articleCite this articleMa, Y., Jiang, L., Liu, S. et al. Effect of Solanum rostratum Dunal litter extract on its seedling growth.
    Sci Rep (2026). https://doi.org/10.1038/s41598-026-36746-1Download citationReceived: 05 June 2025Accepted: 16 January 2026Published: 21 January 2026DOI: https://doi.org/10.1038/s41598-026-36746-1Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy shareable link to clipboard
    Provided by the Springer Nature SharedIt content-sharing initiative
    Keywords
    Solanum rostratum dunalIntraspecific allelopathySeedling growth More

  • in

    Aligning climate-smart marine spatial planning and ecoscape restoration for global biodiversity recovery

    AbstractMeeting the ambitious targets set by the Convention on Biological Diversity (CBD) Kunming-Montreal Global Biodiversity Framework (GBF) will require expanding ecosystem restoration across governance domains for marine and coastal ecosystems. Marine spatial planning (MSP), which balances the development of multiple human uses in the ocean with the preservation of ecosystem health, might be the most effective vehicle for achieving this aim. However, to date, MSP and restoration efforts have proceeded on separate tracks, and biodiversity loss continues. In this Perspective we detail how embedding restoration into planning at the site scale, alongside subnational or national MSP, can help to achieve multiple simultaneous global biodiversity targets. We outline four avenues to action that support biodiversity-positive outcomes over the long term: ensure flexible and multi-scaled approaches; make planning community-centred; maintain social–ecological connectivity; and assess climate-related risks and opportunities. We then propose metrics that CBD Parties could use to implement and track progress on integrating ecoscape restoration into climate-smart MSP. With the world’s focus on the GBF and the approaching 2030 deadline, implementing the proposed avenues to action could lead to more rapid achievement of global targets.

    Access through your institution

    Buy or subscribe

    This is a preview of subscription content, access via your institution

    Access options

    Access through your institution

    Subscribe to this journal

    Receive 12 digital issues and online access to articles

    $119.00 per year
    only $9.92 per issue

    Learn more

    Buy this articlePurchase on SpringerLinkInstant access to the full article PDF.USD 39.95Prices may be subject to local taxes which are calculated during checkout

    Additional access options:

    Log in

    Learn about institutional subscriptions

    Read our FAQs

    Contact customer support

    Fig. 1: Examples of ecoscape restoration actions that could be catalysed by climate-smart marine spatial planning, considering interlinked land, riverine and marine areas.Fig. 2: Four key avenues to action for integrating ecoscape restoration into climate-smart marine spatial planning.

    ReferencesCOP CBD. Decision 15/4 of the Conference of the Parties to the Convention on Biological Diversity. CBD https://www.cbd.int/decisions/cop/15/4 (2022).Richardson, K. et al. Earth beyond six of nine planetary boundaries. Sci. Adv. 9, eadh2458 (2023).Article 

    Google Scholar 
    Sakschewski, B. et al. Planetary Health Check 2025: A Scientific Assessment of the State of the Planet (Potsdam Institute for Climate Impact Research (PIK), (2025).United Nations. The Second World Ocean Assessment (United Nations, 2021).Unsworth, R. K. F., Cullen-Unsworth, L. C., Jones, B. L. H. & Lilley, R. J. The planetary role of seagrass conservation. Science 377, 609–613 (2022).Article 
    CAS 

    Google Scholar 
    Eddy, T. D. et al. Global decline in capacity of coral reefs to provide ecosystem services. One Earth 4, 1278–1285 (2021).Article 

    Google Scholar 
    Jouffray, J.-B. et al. Blue Acceleration: An Ocean of Risks and Opportunities (Ocean Risk and Resilience Action Alliance (ORRAA), 2021).Halpern, B. S., Frazier, M., O’Hara, C. C., Vargas-Fonseca, O. A. & Lombard, A. T. Cumulative impacts to global marine ecosystems projected to more than double by mid-century. Science 389, 1216–1219 (2025).Article 
    CAS 

    Google Scholar 
    Obura, D. O. et al. Integrate biodiversity targets from local to global levels. Science 373, 746–748 (2021).Article 
    CAS 

    Google Scholar 
    Wedding, L. M. et al. Bridging land and seascape restoration for ecoscape recovery. NPJ Ocean Sustain. 4, 31 (2025).Article 

    Google Scholar 
    United Nations. Transforming Our World: the 2030 Agenda for Sustainable Development. sdgs.un.org https://sdgs.un.org/documents/ares701-transforming-our-world-2030-agen-22298 (2015).Gissi, E. et al. Contributions of marine area-based management tools to the UN sustainable development goals. J. Clean. Prod. 330, 129910 (2022).Article 

    Google Scholar 
    Duarte, C. M. et al. Rebuilding marine life. Nature 580, 39–51 (2020).Article 
    CAS 

    Google Scholar 
    Elliott, M., Burdon, D., Hemingway, K. L. & Apitz, S. E. Estuarine, coastal and marine ecosystem restoration: confusing management and science—a revision of concepts. Estuarine Coast. Shelf Sci. 74, 349–366 (2007).Article 

    Google Scholar 
    Gann, G. D. et al. International principles and standards for the practice of ecological restoration. Second edition. Restoration Ecol. 27, S1–S46 (2019).Article 

    Google Scholar 
    Danovaro, R. et al. Assessing the success of marine ecosystem restoration using meta-analysis. Nat. Commun. 16, 3062 (2025).Article 
    CAS 

    Google Scholar 
    Manea, E., Agardy, T. & Bongiorni, L. Link marine restoration to marine spatial planning through ecosystem-based management to maximize ocean regeneration. Aquatic Conservation https://doi.org/10.1002/aqc.3999 (2023).Shumway, N. et al. Policy solutions to facilitate restoration in coastal marine environments. Mar. Policy 134, 104789 (2021).Article 

    Google Scholar 
    Bennett, N. J. In political seas: engaging with political ecology in the ocean and coastal environment. Coast. Manag. 47, 67–87 (2019).Article 

    Google Scholar 
    Bennett, N. J., Le Billon, P., Belhabib, D. & Satizábal, P. Local marine stewardship and ocean defenders. NPJ Ocean Sustain. 1, 3 (2022).Article 

    Google Scholar 
    Ehler, C. N. Two decades of progress in marine spatial planning. Mar. Policy 132, 104134 (2021).Article 

    Google Scholar 
    Wright, G. et al. Marine spatial planning in areas beyond national jurisdiction. Mar. Policy 132, 103384 (2021).Article 

    Google Scholar 
    Zaucha, J. & Jay, S. The extension of marine spatial planning to the management of the world ocean, especially areas beyond national jurisdiction. Mar. Policy 144, 105218 (2022).Article 

    Google Scholar 
    Frazão Santos, C. et al. Taking climate-smart governance to the high seas. Science 384, 734–737 (2024).Article 

    Google Scholar 
    European Union. European Union Regulation (EU) 2024/1991 of the European Parliament and of the Council of 24 June 2024 on nature restoration and amending Regulation (EU) 2022/869. Off. J. Eur. Union. 1991, 1 (2024).
    Google Scholar 
    Lester, S. E., Dubel, A. K., Hernán, G., McHenry, J. & Rassweiler, A. Spatial planning principles for marine ecosystem restoration. Front. Mar. Sci. 7, 328 (2020).Article 

    Google Scholar 
    Agardy, T., Hancock, B., Birch, A. & McLeod, E. Charting a course for incorporating restoration in marine planning. Discov. Conserv. 2, 22 (2025).Article 

    Google Scholar 
    Telesetsky, A. Ecoscapes: the future of place-based ecological restoration laws. Vt. J. Environ. Law 14, 493–548 (2013).
    Google Scholar 
    Wedding, L. M. et al. Five ways seascape ecology can help to achieve marine restoration goals. Landsc. Ecol. 40, 115 (2025).Article 
    CAS 

    Google Scholar 
    Frazão Santos, C. et al. Key components of sustainable climate-smart ocean planning. NPJ Ocean Sustain. 3, 10 (2024).Article 

    Google Scholar 
    Frazão Santos, C. et al. Integrating climate change in ocean planning. Nat. Sustain. 3, 505–516 (2020).Article 

    Google Scholar 
    UNESCO-IOC & European Commission. MSPglobal International Guide on Marine/Maritime Spatial Planning: Volume 3 – Climate-Smart Principle. (IOC Manuals and Guides No. 89, Volume 3) (UNESCO, 2025).Frazão Santos, C. et al. Ocean planning and conservation in the age of climate change: a roundtable discussion. Integr. Organismal Biol. 6, obae037 (2024).Article 

    Google Scholar 
    Queirós, A. M. et al. Bright spots as climate-smart marine spatial planning tools for conservation and blue growth. Glob. Change Biol. 27, 5514–5531 (2021).Article 

    Google Scholar 
    Pinsky, M. L., Rogers, L. A., Morley, J. W. & Frölicher, T. L. Ocean planning for species on the move provides substantial benefits and requires few trade-offs. Sci. Adv. 6, eabb8428 (2020).Article 

    Google Scholar 
    Frazão Santos, C. & Gissi, E. (eds) Collection: moving towards climate-smart ocean planning. NPJ Ocean Sustainability https://www.nature.com/collections/hbdidjcbbi (2023).Queirós, A. M. et al. The opportunity for climate action through climate-smart marine spatial planning. NPJ Ocean Sustain. 4, 26 (2025).Article 

    Google Scholar 
    COP CBD. Decision 16/12 of the Conference of the Parties to the Convention on Biological Diversity. CBD https://www.cbd.int/decisions/cop/16/12 (2024).COP CBD. Decision 16/22 of the Conference of the Parties to the Convention on Biological Diversity. CBD https://www.cbd.int/decisions/cop/16/22 (2024).Crowder, L. B. et al. Resolving mismatches in U.S. ocean governance. Science 313, 617–618 (2006).Article 
    CAS 

    Google Scholar 
    Agardy, T. Global marine conservation policy versus site-level implementation. Mar. Ecol. Prog. Ser. 300, 242–248 (2005).Article 

    Google Scholar 
    Li, Q., Ge, Y. & Sayer, J. A. Challenges to implementing the Kunming-Montreal Global Biodiversity Framework. Land 12, 2166 (2023).Article 

    Google Scholar 
    Gray, N. J., Gruby, R. L. & Campbell, L. M. Boundary objects and global consensus: scalar narratives of marine conservation in the convention on biological diversity. Glob. Environ. Politics 14, 64–83 (2014).Article 

    Google Scholar 
    Ramieri, E. et al. Designing and implementing a multi-scalar approach to maritime spatial planning: the case study of Italy. Mar. Policy 159, 105911 (2024).Article 

    Google Scholar 
    UNEP-WCMC. Progress, Needs and Opportunities for Seascape Restoration (United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), 2022).Waltham, N. J. et al. UN decade on ecosystem restoration 2021–2030—what chance for success in restoring coastal ecosystems? Front. Mar. Sci. 7, 71 (2020).Article 

    Google Scholar 
    Von Holle, B., Yelenik, S. & Gornish, E. S. Restoration at the landscape scale as a means of mitigation and adaptation to climate change. Curr. Landsc. Ecol. Rep. 5, 85–97 (2020).Article 

    Google Scholar 
    Vozzo, M. L. et al. Achieving at-scale seascape restoration by optimising cross-habitat facilitative processes. NPJ Ocean Sustain. 3, 57 (2024).Article 

    Google Scholar 
    Jones, E. V., Gray, T., Macintosh, D. & Stead, S. A comparative analysis of three marine governance systems for implementing the convention on biological diversity (CBD). Mar. Policy 66, 30–38 (2016).Article 

    Google Scholar 
    France, R. L. From land to sea: governance-management lessons from terrestrial restoration research useful for developing and expanding social–ecological marine restoration. Ocean. Coast. Manag. 133, 64–71 (2016).Article 

    Google Scholar 
    Sequeira, A. M. M. et al. Overhauling ocean spatial planning to improve marine megafauna conservation. Front. Mar. Sci. 6, 639 (2019).Article 

    Google Scholar 
    Bekkby, T. et al. Habitat features and their influence on the restoration potential of marine habitats in Europe. Front. Mar. Sci. 7, 184 (2020).Article 

    Google Scholar 
    Airoldi, L. et al. Emerging solutions to return nature to the urban ocean. Annu. Rev. Mar. Sci. 13, 445–477 (2021).Article 

    Google Scholar 
    Hassler, B. et al. Collective action and agency in Baltic Sea marine spatial planning: transnational policy coordination in the promotion of regional coherence. Mar. Policy 92, 138–147 (2018).Article 

    Google Scholar 
    Ocean Panel. 100% Sustainable Ocean Management, An Introduction to Sustainable Ocean Plans (Ocean Panel, 2021).Barzuna, C. et al. Handbook on Sustainable Ocean Plans: A Practioner’s Guide (World Resources Institute, 2025).Monsarrat, S., Fernández, N., Pereira, H. M. & Svenning, J. Supporting the restoration of complex ecosystems requires long-term and multi-scale perspectives. Ecography 2022, e06354 (2022).Article 

    Google Scholar 
    Vince, J., Fudge, M., Fullbrook, L. & Haward, M. Understanding policy integration through an integrative capacity framework. Policy Soc. 43, 381–395 (2024).Article 

    Google Scholar 
    Gissi, E., Fraschetti, S. & Micheli, F. Incorporating change in marine spatial planning: a review. Environ. Sci. Policy 92, 191–200 (2019).Article 

    Google Scholar 
    O’Leary, B. C. et al. Embracing nature-based solutions to promote resilient marine and coastal ecosystems. Nature-Based Solut. 3, 100044 (2023).Article 

    Google Scholar 
    Gissi, E. et al. A review of the combined effects of climate change and other local human stressors on the marine environment. Sci. Total. Environ. 755, 142564 (2021).Article 
    CAS 

    Google Scholar 
    Obura, D. The Kunming-Montreal Global Biodiversity Framework: business as usual or a turning point? One Earth 6, 77–80 (2023).Article 

    Google Scholar 
    Affinito, F., Williams, J. M., Campbell, J. E., Londono, M. C. & Gonzalez, A. Progress in developing and operationalizing the monitoring framework of the global biodiversity framework. Nat. Ecol. Evol. 8, 2163–2171 (2024).Article 

    Google Scholar 
    Foley, M. M. et al. Guiding ecological principles for marine spatial planning. Mar. Policy 34, 955–966 (2010).Article 

    Google Scholar 
    COP CBD. Decision 15/5 of the Conference of the Parties to the Convention on Biological Diversity. CBD https://www.cbd.int/decisions/cop/15/5 (2022).Zhang, Z., Cao, D., Ma, T., Liu, H. & Mao, Z. International cooperation for a biodiverse future: opportunities and challenges under the Kunming-Montreal Global Biodiversity Framework. Global Ecol. Conserv. https://doi.org/10.1016/j.gecco.2024.e03385 (2025).Hughes, A. C. The post-2020 global biodiversity framework: how did we get here, and where do we go next? Integr. Conserv. 2, 1–9 (2023).Article 

    Google Scholar 
    Bliska, H. M., Vidra, R. L. & Burke, M. J. Embracing eco-cultural restoration. Restor. Ecol. 32, e14069 (2024).Article 

    Google Scholar 
    Gibbons, L., Cloutier, S., Coseo, P. & Barakat, A. Regenerative development as an integrative paradigm and methodology for landscape sustainability. Sustainability 10, 1910 (2018).Article 

    Google Scholar 
    Bennett, N. J., Morgera, E. & Boyd, D. The human right to a clean, healthy and sustainable ocean. NPJ Ocean Sustain. 3, 19 (2024).Article 

    Google Scholar 
    Kenny, I. et al. Aligning social and ecological goals for successful marine restoration. Biol. Conserv. 288, 110357 (2023).Article 

    Google Scholar 
    Wedding, L. M. et al. Integrating the multiple perspectives of people and nature in place-based marine spatial planning. NPJ Ocean Sustain. 3, 43 (2024).Article 

    Google Scholar 
    Reed, J. et al. Avoid cherry-picking targets and embrace holistic conservation to pursue the global biodiversity framework. Conserv. Lett. 18, e13104 (2025).Article 

    Google Scholar 
    Frazão Santos, C. et al. Major challenges in developing marine spatial planning. Mar. Policy 132, 103248 (2021).Article 

    Google Scholar 
    McAfee, D., Reinhold, S.-L., Alleway, H. K. & Connell, S. D. Environmental solutions fast-tracked: reversing public scepticism to public engagement. Biol. Conserv. 253, 108899 (2021).Article 

    Google Scholar 
    Nash, K. L. et al. Oceans and society: feedbacks between ocean and human health. Rev. Fish. Biol. Fish. 32, 161–187 (2022).Article 

    Google Scholar 
    Fleming, L. E., Maycock, B., White, M. P. & Depledge, M. H. Fostering human health through ocean sustainability in the 21st century. People Nat. 1, 276–283 (2019).Article 

    Google Scholar 
    McAfee, D., Drew, G. & Connell, S. D. Recentering the role of marine restoration science to bolster community stewardship. Earth Syst. Gov. 13, 100149 (2022).Article 

    Google Scholar 
    Worm, B. et al. Making ocean literacy inclusive and accessible. Ethics. Sci. Environ. Polit. 21, 1–9 (2021).Article 

    Google Scholar 
    Yet, M., Manuel, P., DeVidi, M. & MacDonald, B. H. Learning from experience: lessons from community-based engagement for improving participatory marine spatial planning. Plan. Pract. Res. 37, 189–212 (2022).Article 

    Google Scholar 
    Tafon, R. et al. Mainstreaming coastally just and equitable marine spatial planning: planner and stakeholder experiences and perspectives on participation in Latvia. Ocean. Coast. Manag. 242, 106681 (2023).Article 

    Google Scholar 
    Furness, E. How participation in ecological restoration can foster a connection to nature. Restor. Ecol. 29, e13430 (2021).Article 

    Google Scholar 
    Ardoin, N. M., Bowers, A. W. & Wheaton, M. Leveraging collective action and environmental literacy to address complex sustainability challenges. Ambio 52, 30–44 (2023).Article 

    Google Scholar 
    Moore, K. D. & Russell, R. in Ecosystem-Based Management for the Oceans (eds McLeod, K. & Leslie, H.) 349–366 (Island Press, 2014).Balvanera, P. et al. Interconnected place-based social–ecological research can inform global sustainability. Curr. Opin. Environ. Sustainability 29, 1–7 (2017).Article 

    Google Scholar 
    Anderson, C. B. COP16 and the process of consolidating an inclusive conservation paradigm. Conserv. Biol. 39, e14438 (2025).Article 

    Google Scholar 
    COP CBD. Decision 16/5 of the Conference of the Parties to the Convention on Biological Diversity. CBD https://www.cbd.int/decisions/cop/16/5 (2024).Nielsen, M. W. et al. Intersectional analysis for science and technology. Nature 640, 329–337 (2025).Article 
    CAS 

    Google Scholar 
    Maes, S. L. et al. Explore before you restore: incorporating complex systems thinking in ecosystem restoration. J. Appl. Ecol. 61, 922–939 (2024).Article 

    Google Scholar 
    Wu, H., Soleiman, J., Bolam, J. & Boyle, J. S. Exploring a unified definition of ecological complexity towards restoration. Total. Environ. Adv. 14, 200125 (2025).Article 

    Google Scholar 
    Leadley, P. et al. Achieving global biodiversity goals by 2050 requires urgent and integrated actions. One Earth 5, 597–603 (2022).Article 

    Google Scholar 
    Agardy, T., di Sciara, G. N. & Christie, P. Mind the gap: addressing the shortcomings of marine protected areas through large scale marine spatial planning. Mar. Policy 35, 226–232 (2011).Article 

    Google Scholar 
    Beger, M. et al. Demystifying ecological connectivity for actionable spatial conservation planning. Trends Ecol. Evolution 37, 1079–1091 (2022).Article 

    Google Scholar 
    Bennett, N. J. Marine social science for the peopled seas. Coast. Manag. 47, 244–252 (2019).Article 

    Google Scholar 
    Grimmel, H., Calado, H., Fonseca, C. & Suárez de Vivero, J. L. Integration of the social dimension into marine spatial planning—theoretical aspects and recommendations. Ocean. Coast. Manag. 173, 139–147 (2019).Article 

    Google Scholar 
    Ansong, J., Gissi, E. & Calado, H. An approach to ecosystem-based management in maritime spatial planning process. Ocean. Coast. Manag. 141, 65–81 (2017).Article 

    Google Scholar 
    Cavaleri Gerhardinger, L. et al. A call for a cultural shift in oceanography. Coastal Manag. https://doi.org/10.1080/08920753.2024.2370214 (2024).Lemieux, C. J. et al. Transformational changes for achieving the post-2020 Global Biodiversity Framework ecological connectivity goals. FACETS 7, 1008–1027 (2022).Article 

    Google Scholar 
    Saunders, M. I. et al. A roadmap to coastal and marine ecological restoration in Australia. Environ. Sci. Policy 159, 103808 (2024).Article 

    Google Scholar 
    Food and Agriculture Organization of the United Nations (FAO), International Union for Conservation of Nature (IUCN) & Commission on Ecosystem Management (CEM). Principles for ecosystem restoration to guide the United Nations Decade 2021–2030. FAO https://openknowledge.fao.org/handle/20.500.14283/cb6591en (2021).Santana, F. N. et al. Mālama i ke kai: exploring psychosocial factors associated with personal and community coral reef conservation behavior on Maui, Hawai’i. Conserv. Sci. Pr. 5, e13002 (2023).Article 

    Google Scholar 
    Fache, E., Kon Kam King, J., Riera, L. & Breckwoldt, A. A sea of connections: reflections on connectivity from/in Oceania. Ambio 51, 2333–2341 (2022).Article 

    Google Scholar 
    Arafeh-Dalmau, N. et al. Integrating climate adaptation and transboundary management: guidelines for designing climate-smart marine protected areas. One Earth 6, 1523–1541 (2023).Article 

    Google Scholar 
    Doxa, A. et al. 4D marine conservation networks: combining 3D prioritization of present and future biodiversity with climatic refugia. Glob. Change Biol. 28, 4577–4588 (2022).Article 
    CAS 

    Google Scholar 
    Ashcroft, M. B. Identifying refugia from climate change. J. Biogeography 37, 1407–1413 (2010).Article 

    Google Scholar 
    Green, S. J., Brookson, C. B., Hardy, N. A. & Crowder, L. B. Trait-based approaches to global change ecology: moving from description to prediction. Proc. R. Soc. B. 289, 20220071 (2022).Article 

    Google Scholar 
    Wedding, L. M. et al. Linking multiple stressor science to policy opportunities through network modeling. Mar. Policy 146, 105307 (2022).Article 

    Google Scholar 
    Brito-Morales, I. et al. Towards climate-smart, three-dimensional protected areas for biodiversity conservation in the high seas. Nat. Clim. Chang. 12, 402–407 (2022).Article 

    Google Scholar 
    Simonson, W. D. et al. Enhancing climate change resilience of ecological restoration—a framework for action. Perspect. Ecol. Conserv. 19, 300–310 (2021).
    Google Scholar 
    Lombard, A. T. et al. Principles for transformative ocean governance. Nat. Sustain. 6, 1587–1599 (2023).Article 

    Google Scholar 
    United Nations. Agreement under the United Nations Convention on the Law of the Sea on the Conservation and Sustainable Use of Marine Biological Diversity of Areas beyond National Jurisdiction. UN.org https://www.un.org/bbnjagreement/sites/default/files/2024-08/Text%20of%20the%20Agreement%20in%20English.pdf (2025).Auster, P. J. et al. Developing an ocean ethic: science, utility, aesthetics, self-interest, and different ways of knowing. Conserv. Biol. 23, 233–235 (2009).Article 

    Google Scholar 
    Preston, J. et al. Seascape connectivity: evidence, knowledge gaps and implications for temperate coastal ecosystem restoration practice and policy. NPJ Ocean Sustain. 4, 33 (2025).Article 
    CAS 

    Google Scholar 
    Esmail, N. et al. What’s on the horizon for community-based conservation? Emerging threats and opportunities. Trends Ecol. Evol. 38, 666–680 (2023).Article 

    Google Scholar 
    Ehler, C. & Douvere, F. Marine spatial planning: a step-by-step approach toward ecosystem-based management. Intergovernmental Oceanographic Commission and Man and the Biosphere Programme. OceanBestPractices https://www.oceanbestpractices.net/handle/11329/459 (2009).Download referencesAcknowledgementsWe acknowledge M. B. Wilder for valuable support. C.F.S. acknowledges funding from the European Union (PLAnT, GA 101117443) and the Portuguese Foundation for Science and Technology under strategic projects granted to MARE/ARNET (UIDB/04292/2020, UIDP/04292/2020, LA/P/0069/2020). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency (ERCEA). Neither the European Union nor the granting authority can be held responsible for them. T.A. and L.M.W acknowledge funding from the John Fell Fund and Worcester College, University of Oxford. E.G. was funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4 — Call for tender no. 3138/2021, rectified by Decree no. 3175/2021 of the Italian Ministry of University and Research (MUR) funded by the European Union — NextGenerationEU, project code CN_00000033, Concession Decree no. 1034/2022 by the MUR, CUP B83C22002930006, Project title ‘National Biodiversity Future Center — NBFC’. I.S. and K.W. are supported by the National Institute for Health and Care Research (NIHR) Oxford Health Biomedical Research Centre [NIHR203316]. The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. S.J.G. was supported by NSERC Discovery Grant RGPIN-2018-05712 and the Canada Research Chairs, and the views expressed do not necessarily reflect those of the Secretariat of the Convention on Biological Diversity (CBD) or the United Nations.Author informationAuthor notesThese authors contributed equally: Lisa M. Wedding, Catarina Frazão Santos.Authors and AffiliationsSchool of Geography and the Environment, University of Oxford, Oxford, UKLisa M. Wedding, Catarina Frazão Santos, Joseph S. Boyle & Katrin WilhelmWorcester College, University of Oxford, Oxford, UKLisa M. Wedding & Tundi AgardyDepartment of Biology, Faculty of Sciences, University of Lisbon, Lisbon, PortugalCatarina Frazão SantosMarine and Environmental Sciences Center and Aquatic Research Network, University of Lisbon, Lisbon, PortugalCatarina Frazão SantosSound Seas, Bethesda, MD, USATundi AgardySecretariat of the Convention on Biological Diversity, Montreal, Québec, CanadaJoseph AppiottNational Research Council, Institute of Marine Sciences, Venice, ItalyElena GissiNational Biodiversity Future Centre, Palermo, ItalyElena GissiDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta, CanadaStephanie J. GreenDepartment of Psychiatry, University of Oxford, Oxford, UKIlina Singh & Katrin WilhelmHopkins Marine Station, Stanford University, Pacific Grove, CA, USALarry B. CrowderAuthorsLisa M. WeddingView author publicationsSearch author on:PubMed Google ScholarCatarina Frazão SantosView author publicationsSearch author on:PubMed Google ScholarTundi AgardyView author publicationsSearch author on:PubMed Google ScholarJoseph AppiottView author publicationsSearch author on:PubMed Google ScholarJoseph S. BoyleView author publicationsSearch author on:PubMed Google ScholarElena GissiView author publicationsSearch author on:PubMed Google ScholarStephanie J. GreenView author publicationsSearch author on:PubMed Google ScholarIlina SinghView author publicationsSearch author on:PubMed Google ScholarKatrin WilhelmView author publicationsSearch author on:PubMed Google ScholarLarry B. CrowderView author publicationsSearch author on:PubMed Google ScholarContributionsL.M.W., C.F.S. and T.A. conceptualized and developed the first draft of the manuscript. L.B.C., S.J.G., E.G. and J.S.B. commented on the initial draft. All authors contributed to revised versions of the manuscript and agreed on the final version. C.F.S. produced the initial drafts of Figs. 1 and 2.Corresponding authorsCorrespondence to
    Lisa M. Wedding or Catarina Frazão Santos.Ethics declarations

    Competing interests
    The authors declare no competing interests.

    Peer review

    Peer review information
    Nature Reviews Biodiversity thanks Rowan Trebilco and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

    Additional informationPublisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Related linksBBNJ Agreement: https://www.un.org/bbnjagreement/CBD online reporting tool: https://ort.cbd.int/GBF 2030 Targets: https://www.cbd.int/gbf/targetsGBF 2050 Goals: https://www.cbd.int/gbf/goalsNational adaptation plans: https://unfccc.int/national-adaptation-plansNationally determined contributions: https://unfccc.int/process-and-meetings/the-paris-agreement/nationally-determined-contributions-ndcsUN Decade of Ocean Science for Sustainable Development: https://www.unesco.org/en/decades/ocean-decadeUN Decade on Ecosystem Restoration: https://www.decadeonrestoration.orgUN Framework Convention on Climate Change: https://unfccc.int/UN Sustainable Development Goals: https://sdgs.un.org/goalsRights and permissionsSpringer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.Reprints and permissionsAbout this articleCite this articleWedding, L.M., Frazão Santos, C., Agardy, T. et al. Aligning climate-smart marine spatial planning and ecoscape restoration for global biodiversity recovery.
    Nat. Rev. Biodivers. (2026). https://doi.org/10.1038/s44358-025-00116-yDownload citationAccepted: 25 November 2025Published: 20 January 2026Version of record: 20 January 2026DOI: https://doi.org/10.1038/s44358-025-00116-yShare this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy shareable link to clipboard
    Provided by the Springer Nature SharedIt content-sharing initiative More

  • in

    The impact of agricultural green development on common prosperity for farmers in rural areas

    AbstractGreen development of agriculture (GDA) is a critical issue for advancing agricultural modernization and serves as an essential foundation for comprehensive rural revitalization. The impact of GDA on the common prosperity of farmers in rural areas remains controversial. Therefore, this study develops an evaluation index system to measure the level of GDA based on the panel data of prefecture-level cities in China from 2013 to 2022. Subsequently, this paper analyzes the specific effects, mechanisms, regional differences and threshold effects of GDA on common prosperity using the fixed effect model, mediated-effects models, group regression method and threshold effect model. The results show that: Firstly, GDA has a positive impact on the common prosperity for farmers and rural areas. Secondly, the extension of the agricultural industry chain and the expansion of agricultural multi-functionality are important paths for GDA to promote common prosperity. Thirdly, there is regional heterogeneity in the impact of GDA on common prosperity. GDA has a significant impact on common prosperity in eastern China and non-food-producing regions, but it does not lead to common prosperity in western China. Specifically, the GDA in the central region and food-producing areas can only increase farmers’ income and narrow the rural income gap, but it cannot bridge the urban-rural income gap. In addition, the influence of GDA on common prosperity has a threshold effect based on agricultural industrial agglomeration. The common prosperity effect of GDA gradually becomes prominent as the agricultural industrial agglomeration is raised to a certain level.

    Data availability

    The data presented in this study are available on request from the Corresponding author.
    ReferencesKorpi, W. & Palme, J. The paradox of redistribution and strategies of equality: welfare state institutions, inequality, and poverty in the Western countries. Am. Sociol. Rev. 63, 661–687 (1998).
    Google Scholar 
    Ravallion, M. Inequality and globalization: A review essay. J. Econ. Lit. 56, 620–642 (2018).
    Google Scholar 
    Jensen, R. The (perceived) returns to education and the demand for schooling. Q. J. Econ. 125, 515–548 (2010).
    Google Scholar 
    Wagstaff, A. & van Doorslaer, E. Catastrophe and impoverishment in paying for health care: with applications to Vietnam 1993–1998. Health Econ. 12, 921–933 (2003).
    Google Scholar 
    Wang, K. et al. Progress in realizing the value of ecological products in China and its practice in Shandong Province. Sustainability 15, 9480 (2023).
    Google Scholar 
    Li, H. et al. Temporal and Spatial changes of agriculture green development in beijing’s ecological conservation developing areas from 2006 to 2016. Sustainability 16, 219 (2024).
    Google Scholar 
    Zhang, E. et al. Evaluation methods and application of adaptability of ecological product development and utilization—taking Jizhou district, Tianjin city, as an example. Sustainability 16, 3438 (2024).
    Google Scholar 
    Wang, S. The positive effect of green agriculture development on environmental optimization: measurement and impact mechanism. Front. Environ. Sci. 10, 1035867 (2022).Xie, W. et al. Crop switching can enhance environmental sustainability and farmer incomes in China. Nature 616, 300–305 (2023).
    Google Scholar 
    Pretty, J. et al. Global assessment of agricultural system redesign for sustainable intensification. Nat. Sustain. 1, 441–446 (2018).
    Google Scholar 
    Li, R. & Yu, Y. Impacts of green production behaviors on the income effect of rice farmers from the perspective of outsourcing services: evidence from the rice region in Northwest China. Agriculture 12, 1682 (2022).
    Google Scholar 
    Scherr, S. J. A downward spiral? Research evidence on the relationship between poverty and natural resource degradation. Food Policy. 25, 479–498 (2000).
    Google Scholar 
    Naab, J. B., Mahama, G. Y., Yahaya, I. & Prasad, P. V. V. Conservation agriculture improves soil quality, crop yield, and incomes of smallholder farmers in North Western Ghana. Front. Plant. Sci. 8, 996 (2017).Seufert, V., Ramankutty, N. & Foley, J. A. Comparing the yields of organic and conventional agriculture. Nature 485, 229–232 (2012).
    Google Scholar 
    Wittwer, R. A. et al. Organic and conservation agriculture promote ecosystem multifunctionality. Sci. Adv. 7, eabg6995 (2021).
    Google Scholar 
    Cui, Z. et al. Pursuing sustainable productivity with millions of smallholder farmers. Nature 555, 363–366 (2018).
    Google Scholar 
    Ren, C. et al. Ageing threatens sustainability of smallholder farming in China. Nature 616, 96–103 (2023).
    Google Scholar 
    Bennett, M. & Franzel, S. Can organic and resource-conserving agriculture improve livelihoods? A synthesis. Int. J. Agric. Sustain. 11, 193–215 (2013).
    Google Scholar 
    Rohilla, M. et al. Bao Dhan of assam: organically grown Indigenous rice slated to increase farmer’s income. Curr. Sci. 116, 707–708 (2020).
    Google Scholar 
    Yu, L., Wang, Y., Yao, X. & Gao, Y. Popularization of plant protection UAVs and farmers’ income increases: A quasinatural experiment. International Journal of Sustainable Development & World Ecology (2024). https://doi.org/10.1080/13504509.2024.2344826Musara, J. P., Bahta, Y. T., Musemwa, L. & Manzvera, J. Rethinking blended high yielding seed varieties and partial-organic fertilizer climate smart agriculture practices for productivity and farm income gains in the drylands of Zimbabwe. Front. Sustain. Food Syst. 6, 939595 (2022).Singh, A., Tiwari, R., Dutt, T. & Chandrahas & Augmentation of farmers’ income in India through sustainable waste management techniques. Waste Manag Res. 39, 849–859 (2021).
    Google Scholar 
    Tambo, J. A. & Mockshell, J. Differential impacts of conservation agriculture technology options on household income in sub-saharan Africa. Ecol. Econ. 151, 95–105 (2018).
    Google Scholar 
    Phamova, M., Banout, J., Verner, V., Ivanova, T. & Mazancova, J. Can ecological farming systems positively affect household income from agriculture? A case study of the suburban area of hanoi, Vietnam. Sustainability 14, 1466 (2022).
    Google Scholar 
    Xu, Q., Hu, K., Zhang, H., Han, H. & Li, J. Organic vegetable cultivation reduces resource and environmental costs while increasing farmers’ income in the North China plain. Agronomy 10, 361 (2020).
    Google Scholar 
    Doanh, N. K., Thuong, N. T. T. & Heo, Y. Impact of conversion to organic tea cultivation on household income in the mountainous areas of Northern Vietnam. Sustainability 10, 4475 (2018).
    Google Scholar 
    Zhu, M., Zhang, X., Elahi, E., Fan, B. & Khalid, Z. Assessing ecological product values in the yellow river basin: Factors, trends, and strategies for sustainable development. Ecol. Ind. 160, 111708 (2024).
    Google Scholar 
    Luo, Y., Xiong, T., Meng, D., Gao, A. & Chen, Y. Does the integrated development of agriculture and tourism promote farmers’ income growth? Evidence from Southwestern China. Agriculture 13, 1817 (2023).
    Google Scholar 
    Shen, S., Wang, H., Quan, Q. & Xu, J. Rurality and rural tourism development in China. Tourism Manage. Perspect. 30, 98–106 (2019).
    Google Scholar 
    Ponisio, L. C. et al. Diversification practices reduce organic to conventional yield gap. Proc. R. Soc. B, Proc. Biol. Sci. 282, 20141396 (2015).McCaig, M., Dara, R. & Rezania, D. Farmer-centric design thinking principles for smart farming technologies. Internet Things. 23, 100898 (2023).
    Google Scholar 
    de Jager, A., Onduru, D. & Walaga, C. Facilitated learning in soil fertility management: assessing potentials of low-external-input technologies in East African farming systems. Agric. Syst. 79, 205–223 (2004).
    Google Scholar 
    Gao, F., Xu, J., Li, D. & Chen, F. The impact of adopting green controltechnologies on farmers’ income: basedon research data from tea farmersin 16 provinces of China. Pol. J. Environ. Stud. 33, 2065–2075 (2024).
    Google Scholar 
    Allanson, P., Kasprzyk, K. & Barnes, A. P. Income mobility and income inequality in Scottish agriculture. J. Agric. Econ. 68, 471–493 (2017).
    Google Scholar 
    Yang, C. et al. Digital economy empowers sustainable agriculture: implications for farmers’ adoption of ecological agricultural technologies. Ecol. Ind. 159, 111723 (2024).
    Google Scholar 
    Rogers, E. M. Diffusion of Innovations (Free, 1983).
    Google Scholar 
    Kim, Y., Barkley, D. L. & Henry, M. S. Industry characteristics linked to establishment concentrations in nonmetropolitan areas. J. Reg. Sci. 40, 234–259 (2000).
    Google Scholar 
    Porter, M. Clusters and the new economics of competition. Harvard business review (1998). https://www.semanticscholar.org/paper/Clusters-and-the-new-economics-of-competition.-Porter/23908e4166066894e2ace9c76cb6a375d99ad8dcWang, H., Liu, C., Xiong, L. & Wang, F. The Spatial spillover effect and impact paths of agricultural industry agglomeration on agricultural non-point source pollution: A case study in Yangtze river delta, China. J. Clean. Prod. 401, 136600 (2023).
    Google Scholar 
    Zhang, S., Wen, X., Sun, Y. & Xiong, Y. Impact of agricultural product brands and agricultural industry agglomeration on agricultural carbon emissions. J. Environ. Manage. 369, 122238 (2024).
    Google Scholar 
    Ding, Y. The impact of agricultural industrial agglomeration on farmers’ income: an influence mechanism test based on a Spatial panel model. PLOS ONE. 18, e0291188 (2023).
    Google Scholar 
    Barkley, D. L., Henry, M. S. & Kim, Y. Industry agglomerations and employment change in non-metropolitan areas. Rev. Urban Reg. Dev. Stud. 11, 168 (1999).
    Google Scholar 
    Zhang, H., Zhang, J. & Song, J. Analysis of the threshold effect of agricultural industrial agglomeration and industrial structure upgrading on sustainable agricultural development in China. J. Clean. Prod. 341, 130818 (2022).
    Google Scholar 
    Cui, H., Zhao, T. & Tao, P. Evolutionary game study on the developmentof green agriculture in China based onambidexterity theory perspective. Pol. J. Environ. Stud. 28, 1093–1104 (2019).
    Google Scholar 
    Liu, D., Zhu, X. & Wang, Y. China’s agricultural green total factor productivity based on carbon emission: an analysis of evolution trend and influencing factors. J. Clean. Prod. 278, 123692 (2021).
    Google Scholar 
    Liu, Y., Lu, C. & Chen, X. Dynamic analysis of agricultural green development efficiency in china: Spatiotemporal evolution and influencing factors. J. Arid Land. 15, 127–144 (2023).
    Google Scholar 
    Guo, C. et al. Challenges and strategies for agricultural green development in the yangtze river basin. J. Integr. Environ. Sci. (2021). https://www.tandfonline.com/doi/abs/10.1080/1943815X.1883674 (2021).Liang, Y., Pan, T., Cai, Y., Yu, J. & Choun, L. The impact of green and low carbon agricultural production on farmers’ income in minority areas: A case study of Y town, Zhijin county, Guizhou Province. Front. Sustain. Food Syst. 8, 1358471 (2024).Wu, F. Adoption and income effects of new agricultural technology on family farms in China. PLOS ONE. 17, e0267101 (2022).
    Google Scholar 
    Wang, J. Application of IOT in exploring the development path of the whole agricultural industry chain under the perspective of ecological environment. Mob. Inf. Syst. 2022, (2022).Kroll, J. Multifunctionality in the common agricultural policy: project or alibi? OCL-OLEAGINEUX CORPS GRAS LIPIDES. 9, 390–398 (2002).
    Google Scholar 
    Ji, X., Chen, J. & Zhang, H. Agricultural specialization activates the industry chain: implications for rural entrepreneurship in China. Agribusiness 40, 950–974 (2024).
    Google Scholar 
    Zhao, N. & Lv, D. Can joining the agricultural industry chain alleviate the problem of credit rationing for farmers? Agriculture 13, 1382 (2023).
    Google Scholar 
    Cao, Y., Tao, L., Wu, K. & Wan, G. Coordinating joint greening efforts in an agri-food supply chain with environmentally sensitive demand. J. Clean. Prod. 277, 123883 (2020).
    Google Scholar 
    Peng, J., Liu, Z., Liu, Y., Hu, X. & Wang, A. Multifunctionality assessment of urban agriculture in Beijing City, China. Sci. Total Environ. 537, 343–351 (2015).
    Google Scholar 
    Jin, X., Wang, L., Zhang, Z. & Yan, J. Factors affecting the income of agritourism operations: evidence from an Eastern Chinese County. Sustainability 14, 8918 (2022).
    Google Scholar 
    Gutierrez Rodriguez, L., Ruiz Perez, M. & Yang, X. (ed ) From farm to rural hostel: new opportunities and challenges associated with tourism expansion in daxi, a village in Anji county, zhejiang, China. Sustainability 3 306–321 (2011).
    Google Scholar 
    Zhang, Y., Yang, C., Yan, S., Wang, W. & Xue, Y. Alleviating relative poverty in rural China through a diffusion schema of returning farmer entrepreneurship. Sustainability 15, 1380 (2023).
    Google Scholar 
    Huang, K. & You, Y. Evaluating the impact of the fourth round of china’s poverty alleviation program. Am. J. Agri Econ. n/a ajae.12495 (2024).He, Y., Wang, J., Gao, X., Wang, Y. & Choi, B. R. Rural tourism: does it matter for sustainable farmers’ income? Sustainability 13, 10440 (2021).
    Google Scholar 
    Jiang, F. et al. Effects of rural collective economy policy on the common prosperity in china: based on the mediating effect of farmland transfer. Front. Environ. Sci. 11, 1302545 (2023).Krugman, P. Increasing returns and economic geography. J. Polit. Econ. 99, 483–499 (1991).
    Google Scholar 
    de Groot, H. L. F., Poot, J. & Smit, M. J. Which agglomeration externalities matter most and why? J. Economic Surv. 30, 756–782 (2016).
    Google Scholar 
    Artz, G. M., Kim, Y. & Orazem, P. F. Does agglomeration matter everywhere? New firm location decisions in rural and urban markets*. J. Reg. Sci. 56, 72–95 (2016).
    Google Scholar 
    Briedenhann, J. & Wickens, E. Tourism routes as a tool for the economic development of rural areas—vibrant hope or impossible dream? Tour. Manag. 25, 71–79 (2004).
    Google Scholar 
    Porter, M. E. & Location Competition, and economic development: local clusters in a global economy. Econ. Dev. Q. 14, 15–34 (2000).
    Google Scholar 
    MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G. & Sheets, V. A comparison of methods to test mediation and other intervening variable effects. Psychol. Methods. 7, 83–104 (2002).
    Google Scholar 
    Hansen, B. E. Sample splitting and threshold Estimation. Econometrica 68, 575–603 (2000).
    Google Scholar 
    Tian, J., Liu, C. & Ma, G. The role of the digital economy on the coordinated development of green agriculture and food security: evidence from China. Front. Sustain. Food Syst. 8, 1446410 (2024).Burney, J. & Ramanathan, V. Recent climate and air pollution impacts on Indian agriculture. Proc. Natl. Acad. Sci. 111, 16319–16324 (2014).
    Google Scholar 
    Liu, R. et al. Spatial distribution, sources, and human health risk assessment of elevated nitrate levels in groundwater of an agriculture-dominant coastal area in Hainan island, China. J. Hydrology 634, 131088 (2024).Bell, J. N. B., Power, S. A., Jarraud, N., Agrawal, M. & Davies, C. The effects of air pollution on urban ecosystems and agriculture. International Journal of Sustainable Development & World Ecology https://www.tandfonline.com/doi/abs/ (2011). https://doi.org/10.1080/13504509.2011.570803Li, P., Wu, J. & Xu, W. The impact of industrial sulfur dioxide emissions regulation on agricultural production in China †. J. Environ. Econ. Manag. 124, 102939 (2024).
    Google Scholar 
    Balengayabo, J. G., Kassenga, G. R., Mgana, S. M. & Salukele, F. Impact of recurring irrigation with treated domestic wastewater on heavy metal accumulation in the soil. Agric. Water Manage. 297, 108814 (2024).
    Google Scholar 
    Wu, X., Xie, M., Xu, S., Fei, R. & Pan, A. Does agricultural fiscal policy improve green development in china’s agriculture sector? Evidence from energy and environmental perspectives. Environ. Dev. Sustain. https://doi.org/10.1007/s10668-024-04770-8 (2024).
    Google Scholar 
    Luo, Q., Wang, Y. & Chen, B. Empirical study on the impact of the digital economy on the efficiency of agricultural product circulation under the dual carbon goals. Environ. Res. Commun. 6, 085010 (2024).
    Google Scholar 
    Zhang, F., Wang, F., Hao, R. & Wu, L. Agricultural science and technology Innovation, Spatial spillover and agricultural green Development—Taking 30 provinces in China as the research object. Appl. Sci. 12, 845 (2022).
    Google Scholar 
    Lin, H., Zhao, L. & Hu, Y. Does the construction of digital villages promote common prosperity in old revolutionary base areas? Chinese Rural Economy 38, 81–102 (2023).Guan, X., He, L. & Hu, Z. Impact of rural E-commerce on farmers’ income and income gap. Agriculture 14, 1689 (2024).
    Google Scholar 
    Yang, X. & Wang, S. The County-Level common prosperity effect of the development of characteristic agriculture. Chinese Rural Economy 40, 81–100 (2025).Yi, F., Yao, L., Sun, Y. & Cai, Y. E-commerce participation, digital finance and farmers’ income. China Agricultural Economic Rev. 15, 833–852 (2023).
    Google Scholar 
    Chi, Y., Xu, Y., Wang, X., Jin, F. & Li, J. A win–win scenario for agricultural green development and farmers’ agricultural income: an empirical analysis based on the EKC hypothesis. Sustainability 13, 8278 (2021).
    Google Scholar 
    Su, F., Song, N., Shang, H. & Fahad, S. Do poverty alleviation measures play any role in land transfer farmers well-being in rural china? J. Clean. Prod. 428, 139332 (2023).
    Google Scholar 
    Wang, Y., Liu, J., Huang, H., Tan, Z. & Zhang, L. Does digital inclusive finance development affect the agricultural multifunctionality extension? Evidence from China. Agriculture 13, 804 (2023).
    Google Scholar 
    Marton, A. M. Local geographies of globalisation: rural agglomeration in the Chinese countryside. Asia Pac. Viewp. 43, 23 (2002).
    Google Scholar 
    Sun, Z., Lu, Y., Zheng, X., Huang, Z. & Yao, G. Coupling coordination analysis of agricultural carbon reduction, pollution abatement, green expansion, and growth in Jiangsu province, China. J. Agric. Food Res. 22, 102098 (2025).
    Google Scholar 
    Yang, L., Wang, Z., Lee, J. I. & Wang, T. Y. How does investment in agricultural insurance promote agricultural development? Mediating effect of green total factor productivity. Finance Res. Lett. 81, 107485 (2025).
    Google Scholar 
    Yun, D. & Jia, Z. An investigation into the connection between green total factor productivity in agriculture and high-quality agricultural progress: based on the mechanism of regional financial development. Finance Res. Lett. 81, 107324 (2025).
    Google Scholar 
    Cui, H., Ke, S. & Lu, X. An empirical study on the impact of green transition of farmland use on agricultural economic growth: A case of Hubei Province of China. Habitat Int. 148, 103090 (2024).
    Google Scholar 
    Liu, F., Wang, L., Gao, J. & Liu, Y. Study on the coupling coordination relationship between rural tourism and agricultural green development level: A case study of Jiangxi Province. Agriculture 15, 874 (2025).
    Google Scholar 
    Lu, H., Chen, Y. & Luo, J. Development of green and low-carbon agriculture through grain production agglomeration and agricultural environmental efficiency improvement in China. J. Clean. Prod. 442, 141128 (2024).
    Google Scholar 
    Download referencesFundingGeneral Projects of the National Social Science Fund(Grant No. 22BGL180); Jiangxi Management Science Decision Consulting Project (20244BAA10026); Henan Province Philosophy and Social Science Planning Youth Project(Grant No. 2023CJJ181).Author informationAuthors and AffiliationsSchool of Economics and Management, Jiangxi Agricultural University, Nanchang, 330000, ChinaZhaoguang Li, Qinying Shi & Kai HuSchool of Economics and Management, Henan Institute of Science and Technology, Xinxiang, 453000, ChinaZhuanqing ChenAuthorsZhaoguang LiView author publicationsSearch author on:PubMed Google ScholarQinying ShiView author publicationsSearch author on:PubMed Google ScholarKai HuView author publicationsSearch author on:PubMed Google ScholarZhuanqing ChenView author publicationsSearch author on:PubMed Google ScholarContributionsConceptualization, Z.L.; methodology and software, K.H.; validation,.;formal analysis, Z.L.; investigation, Z.L.; resources, K.H.; data curation, K.H.; writing—original draft preparation, Z.C.; writing—review and editing,.; visualization, Z.C.; supervision, K.H.; project administration, K.H.; funding acquisition, K.H. All authors have read and agreed to the published version of the manuscript.Corresponding authorsCorrespondence to
    Qinying Shi or Kai Hu.Ethics declarations

    Competing interests
    The authors declare no competing interests.

    Additional informationPublisher’s noteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Rights and permissions
    Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
    Reprints and permissionsAbout this articleCite this articleLi, Z., Shi, Q., Hu, K. et al. The impact of agricultural green development on common prosperity for farmers in rural areas.
    Sci Rep (2026). https://doi.org/10.1038/s41598-026-35978-5Download citationReceived: 03 February 2025Accepted: 09 January 2026Published: 20 January 2026DOI: https://doi.org/10.1038/s41598-026-35978-5Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy shareable link to clipboard
    Provided by the Springer Nature SharedIt content-sharing initiative
    KeywordsGreen development of agricultureCommon prosperityAgricultural industrial chainAgricultural multifunctionalityThreshold effectIncome gap More