More stories

  • in

    Carcass detection and consumption by facultative scavengers in forest ecosystem highlights the value of their ecosystem services

    DeVault, T. L., Rhodes, O. E. & Shivik, J. A. Scavenging by vertebrates: Behavioral, ecological, and evolutionary perspectives on an important energy transfer pathway in terrestrial ecosystems. Oikos 102, 225–234 (2003).
    Google Scholar 
    Selva, N., Jedrzejewska, B., Jedrzejewski, W. & Wajrak, A. Scavenging on European bison carcasses in Bialowieza Primeval Forest (eastern Poland). Ecoscience 10, 303–311 (2003).
    Google Scholar 
    Wilson, E. E. & Wolkovich, E. M. Scavenging: How carnivores and carrion structure communities. Trends Ecol. Evol. 26, 129–135 (2011).PubMed 

    Google Scholar 
    Inger, R., Cox, D. T. C., Per, E., Norton, B. A. & Gaston, K. J. Ecological role of vertebrate scavengers in urban ecosystems in the UK. Ecol. Evol. 6, 7015–7023 (2016).PubMed 
    PubMed Central 

    Google Scholar 
    Moleón, M. et al. Humans and scavengers: The evolution of interactions and ecosystem services. Bioscience 64, 394–403 (2014).
    Google Scholar 
    Moleón, M., Sánchez-Zapata, J. A., Selva, N., Donázar, J. A. & Owen-Smith, N. Inter-specific interactions linking predation and scavenging in terrestrial vertebrate assemblages. Biol. Rev. 89, 1042–1054 (2014).PubMed 

    Google Scholar 
    Mateo-Tomás, P., Olea, P. P., Moleón, M., Selva, N. & Sánchez-Zapata, J. A. Both rare and common species support ecosystem services in scavenger communities. Glob. Ecol. Biogeogr. 26, 1459–1470 (2017).
    Google Scholar 
    Houston, D. C. Scavenging efficiency of turkey vultures in tropical forest. Condor 88, 318–323 (1986).
    Google Scholar 
    Morales-Reyes, Z. et al. Scavenging efficiency and red fox abundance in Mediterranean mountains with and without vultures. Acta Oecol. 79, 81–88 (2017).ADS 

    Google Scholar 
    Kane, A. & Kendall, C. J. Understanding how mammalian scavengers use information from avian scavengers: Cue from above. J. Anim. Ecol. 86, 837–846 (2017).PubMed 

    Google Scholar 
    Sebastián-González, E. et al. Functional traits driving species role in the structure of terrestrial vertebrate scavenger networks. Ecology. https://doi.org/10.1002/ecy.3519 (2021).PubMed 

    Google Scholar 
    Beasley, J. C., Olson, Z. H. & DeVault, T. L. Ecological role of vertebrate scavengers. In Carrion Ecology, Evolution and Their Applications (eds Benbow, M. E. et al.) 107–127 (CRC Press, 2015).
    Google Scholar 
    Bassi, E., Battocchio, D., Marcon, A., Stahlberg, S. & Apollonio, M. Scavenging on ungulate carcasses in a mountain forest area in Northern Italy. Mamm. Study 43, 1–11 (2018).
    Google Scholar 
    Enari, H. & Enari, H. S. Not avian but mammalian scavengers efficiently consume carcasses under heavy snowfall conditions: A case from northern Japan. Mamm. Biol. 101, 419–428 (2021).
    Google Scholar 
    Peers, M. J. L. et al. Prey availability and ambient temperature influence carrion persistence in the boreal forest. J. Anim. Ecol. 89, 2156–2167 (2020).PubMed 

    Google Scholar 
    Selva, N. & Fortuna, M. A. The nested structure of a scavenger community. Proc. R. Soc. B Biol. Sci. 274, 1101–1108 (2007).
    Google Scholar 
    Inagaki, A. et al. Vertebrate scavenger guild composition and utilization of carrion in an East Asian temperate forest. Ecol. Evol. 10, 1223–1232 (2020).PubMed 
    PubMed Central 

    Google Scholar 
    Sebastián-González, E. et al. Network structure of vertebrate scavenger assemblages at the global scale: Drivers and ecosystem functioning implications. Ecography (Cop.) 43, 1143–1155 (2020).
    Google Scholar 
    Cortés-Avizanda, A., Selva, N., Carrete, M. & Donázar, J. A. Effects of carrion resources on herbivore spatial distribution are mediated by facultative scavengers. Basic Appl. Ecol. 10, 265–272 (2009).
    Google Scholar 
    Sebastián-González, E. et al. Nested species-rich networks of scavenging vertebrates support high levels of interspecific competition. Ecology 97, 95–105 (2016).PubMed 

    Google Scholar 
    Beasley, J. C., Olson, Z. H. & Devault, T. L. Carrion cycling in food webs: Comparisons among terrestrial and marine ecosystems. Oikos 121, 1021–1026 (2012).
    Google Scholar 
    Ray, R. R., Seibold, H. & Heurich, M. Invertebrates outcompete vertebrate facultative scavengers in simulated lynx kills in the Bavarian Forest National Park, Germany. Anim. Biodivers. Conserv. 37, 77–88 (2014).
    Google Scholar 
    Sugiura, S. & Hayashi, M. Functional compensation by insular scavengers: The relative contributions of vertebrates and invertebrates vary among islands. Ecography (Cop.) 41, 1173–1183 (2018).
    Google Scholar 
    Wilmers, C. C., Stahler, D. R., Crabtree, R. L., Smith, D. W. & Getz, W. M. Resource dispersion and consumer dominance: Scavenging at wolf- and hunter-killed carcasses in Greater Yellowstone, USA. Ecol. Lett. 6, 996–1003 (2003).
    Google Scholar 
    Putman, A. R. J. Patterns of carbon dioxide evolution from decaying carrion: Decomposition of small mammal carrion in temperate systems, Part 1. Oikos 31, 47–57 (1978).CAS 

    Google Scholar 
    DeVault, T. L. & Rhodes, O. E. Identification of vertebrate scavengers of small mammal carcasses in a forested landscape. Acta Theriol. (Warsz.) 47, 185–192 (2002).
    Google Scholar 
    Selva, N., Jȩdrzejewska, B., Jȩdrzejewski, W. & Wajrak, A. Factors affecting carcass use by a guild of scavengers in European temperate woodland. Can. J. Zool. 83, 1590–1601 (2005).
    Google Scholar 
    Ogada, D. L., Torchin, M. E., Kinnaird, M. F. & Ezenwa, V. O. Effects of vulture declines on facultative scavengers and potential implications for mammalian disease transmission. Conserv. Biol. 26, 453–460 (2012).CAS 
    PubMed 

    Google Scholar 
    Turner, K. L., Abernethy, E. F., Conner, L. M., Rhodes, O. E. & Beasley, J. C. Abiotic and biotic factors modulate carrion fate and vertebrate scavenging communities. Ecology 98, 2413–2424 (2017).PubMed 

    Google Scholar 
    Arrondo, E. et al. Rewilding traditional grazing areas affects scavenger assemblages and carcass consumption patterns. Basic Appl. Ecol. 41, 56–66 (2019).
    Google Scholar 
    Moleón, M. et al. Carrion availability in space and time. In Carrion Ecology and Management (eds Pedro, P. O. et al.) 23–44 (Springer, 2019).
    Google Scholar 
    Pereira, L. M., Owen-Smith, N. & Moleón, M. Facultative predation and scavenging by mammalian carnivores: Seasonal, regional and intra-guild comparisons. Mamm. Rev. 44, 44–55 (2014).
    Google Scholar 
    Animal Care and Use Committee. Guidelines for the capture, handling, and care of mammals as approved by the American Society of Mammalogists. J. Mamm. 79, 1416–1431 (1998).
    Google Scholar 
    Committee of Reviewing Taxon Names and Specimen Collections. Guidelines for the Procedure of Obtaining Mammal Specimens as Approved by the Mammal Society of Japan (Revised in 2009) (Mammal Society of Japan, 2009).
    Google Scholar 
    Yoshino, M. Microclimate: New Edition (Chijin Shokan, 1986).
    Google Scholar 
    R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.r-project.org/ (2019).Sokal, R. R. & Rohlf, F. J. Biometry 4th edn. (WH Freeman and Company, 2012).MATH 

    Google Scholar 
    Fisher, R. A. Statistical Methods for Research Workers (Oliver and Boyd, 1934).MATH 

    Google Scholar 
    Therneau, T. A Package for Survival Analysis in S. Version 2.38 (2015).Pardo-Barquín, E., Mateo-Tomás, P. & Olea, P. P. Habitat characteristics from local to landscape scales combine to shape vertebrate scavenging communities. Basic Appl. Ecol. 34, 126–139 (2019).
    Google Scholar 
    Moleón, M., Sánchez-Zapata, J. A., Sebastián-González, E. & Owen-Smith, N. Carcass size shapes the structure and functioning of an African scavenging assemblage. Oikos 124, 1391–1403 (2015).
    Google Scholar 
    DeVault, T. L., Brisbin, I. L. & Rhodes, O. E. Factors influencing the acquisition of rodent carrion by vertebrate scavengers and decomposers. Can. J. Zool. 82, 502–509 (2004).
    Google Scholar  More

  • in

    Evolutionary implications of new Postopsyllidiidae from mid-Cretaceous amber from Myanmar and sternorrhynchan nymphal conservatism

    Systematic palaeontologyOrder Hemiptera Linnaeus, 1758Suborder Sternorrhyncha Amyot et Audinet-Serville, 1843Superfamily Protopsyllidioidea Carpenter, 1931Family Postopsyllidiidae Hakim, Azar et Huang, 2019Genus Megalophthallidion Drohojowska et Szwedo, gen. nov.LSID urn:lsid:zoobank.org:act:A6F71390-9B8E-4A19-8F30-C2A024B6EFB1Type speciesMegalophthallidion burmapateron Drohojowska et Szwedo, sp. nov.; by present designation and monotypy.EtymologyGeneric name is derived from Classic Greek megas (μέγας)—large, ophthalmos (ὀφθαλμός)—an eye and Greek form of generic name Psyllidium. Gender: masculine.Type localityNorthern Myanmar: state of Kachin, Noije bum 2001 Summit Site amber mine in the Hukawng Valley, SW of Maingkhwan.Type stratumLowermost Cenomanian, Upper Cretaceous (‘mid-Cretaceous’).DiagnosisHead capsule with 12 stiff setae on tubercles (18 setae in Postopsyllidium); fore wing without pterostigma (tiny pterostigma, widening of ScP + RA present in Postopsyllidium); vein CuP not thickened distally (distinctly thickened distally in Postopsyllidium); profemur with a row of ventral (ventrolateral) setae (two rows in Postopsyllidium).Megalophthallidion burmapateron Drohojowska et Szwedo, sp. nov.LSID urn:lsid:zoobank.org:act:F3F971F4-AE04-4F41-98B0-9A0A04470625.(Figs. 1A–F, 2A–I).Figure 1Megalophthallidion burmapteron gen. et sp. nov., holotype (MAIG 6687), imago. (A) Photo of body, ventral side; (B) photo of right antennae and (C) drawing of antenna; (D) drawing of body, dorsal side; (E) drawing of thorax structure with sclerites marked: red—pronotum; orange—mesopraescutum; yellow—mesoscutum; light green—mesoscutellum, dark green—mesopostnotum; light blue—metascutum; dark blue—metascutellum; violet—metapostnotum; (F) photo of thorax dorsal side. Scale bars: 0.5 mm (A), 0.2 mm (B–D), 0.1 mm (F).Full size imageFigure 2Megalophthallidion burmapteron gen. et sp. nov., holotype (MAIG 6687), imago. (A) Photo of right fore wing; (B) photo of right wings; (C) photo of antenna and proleg; (D) photo of proleg and mesoleg, and (E) photo of femur of proleg, and (F) photo of right metatarsus and left mesotarsus in the background, and (G) photo of right mesotarsus of mesoleg, and (H) Photo of tarsi; (I) photo of male genital block. Scale bars: 0.5 mm (A–D), 0.2 mm (B,E,F,H), 0.1 mm (G,I).Full size imageMaterialHolotype, number MAIG 6687 (BUB 96), deposited in Museum of Amber Inclusions (MAIG), University of Gdańsk, Poland. Imago, a complete and well-preserved male. Piece of amber 8 × 6 × 3 mm, cut from larger lump, polished flat on both sides.Type localityNorthern Myanmar: state of Kachin, Noije bum 2001 Summit Site amber mine in the Hukawng Valley, SW of Maingkhwan.Type stratumLowermost Cenomanian, Upper Cretaceous (‘mid-Cretaceous’).DiagnosisAs for the genus with the following additions: three ocelli distinct, antennomere IX the longest, about as long as pedicel, antennomeres III–VII and XI of similar length, antennomere XII the shortest, subconically tapered in apical portion. Paramere lobate, ventral margin with acute, small process, apical and dorsal margins rounded. Aedeagus geniculately bent at base, directed dorsally, tapered apicad.DescriptionMale (Figs. 1A–F, 2A–I). Head with compound eyes distinctly wider than pronotum (Fig. 1D–F). Compound eyes subglobular, protruding laterally. Vertex short in midline, about 2.5 times as wide as posterior margin and as long in middle; trapezoidal, anterior margin slightly arched, lateral margins diverging posteriad, posterior margin shallowly arched, disc of vertex with distinct setae on large tubercles: four setae at posterior margin, two at anterior angles of compound eyes, two medial, over the median ocellus. Three ocelli present, median ocellus distinct, visible from above, lateral ocelli near anterior angles of compound eyes. Frons about as wide as long in midline, two rows of setae on tubercles, upper row at level of median ocellus, lower one, below half of compound eye height. Clypeus, elongate, triangular, in lower portion roof-like; two setae on tubercles near upper margin. Genae very narrow. Rostrum reaching slightly beyond mesocoxae, apical segment slightly shorter than subapical one, darker. Antennae bases placed at lower margin of compound eyes; antennal fovea elevated; scapus shorter than pedicel, cylindrical; pedicel cylindrical; antennomeres IIIrd–VIIth and XIth of similar length, VIIIth slightly longer than VIIth, as long as Xth antennomere, IXth the longest, XIIth the shortest, tapered apically; rhinaria absent.Thorax (Fig. 1D–F): pronotum quadrangular, about as long as mesothorax; pronotum with anterior and posterior margins parallel, merely arcuate, disc with transverse groove in the median portion, lateral margins slightly arcuate, two distinct setae on tubercles in anterolateral angle, two setae on tubercles anterior margin at distance1/3 to median line, three distinct setae on tubercles in posterolateral angles. Mesopraescutum subtriangular, with apex widely rounded, about 0.4 times as wide as pronotum, about 0.4 times as long as wide, delicately separated from mesoscutum. Mesoscutum as wide as pronotum at widest point, distinctly narrowed medially, anterior angles rounded, anterolateral margin sigmoid, lateral angle acute, posterior angles wide, posterior margin V-shape incised, posterolateral areas of mesoscutum disc declivent posteriorly; disc with two setae on tubercles, at 1/3 of mesoscutum width. Mesoscutellum about as long as wide, diamond-shape, anterior and lateral angles acute, posterior angle rounded. Mesopostnotum in form of transverse band, slightly widened in median portion. Metascutum narrower than mesoscutum, anterior angles widely rounded, lateral angles acute, anterolateral margin concave, posterior margin arcuate, with deep median arcuate incision. The suture between metascutum and metascutellum weakly visible, metascutellum subtriangular, longer than wide at base.Parapteron with three distinct setae.Fore wing (Fig. 2A,B) membranous, narrow, elongate, about 3.5 times as long as wide, widest at 2/3 of length. Anterior margin merely arcuate, slightly bent at very base, anteroapical angle widely arcuate, apex rounded, posteroapical angle widely arcuate, tornus arcuate, claval margin straight, with incision between terminals of Pcu (claval apex) and A1. Stem ScP + R + MP + CuA slightly arcuate, very short stalk ScP + R + MP + CuA leaving basal cell, stem ScP + R oblique, straight, forked in basal half of fore wing length, branch ScP + RA, oblique, reaching anterior margin slightly distally of half of fore wing length, slightly distally of ending of CuA2 branch; branch RP slightly arcuate, a little more curved in basal section, reaching margin at anteroapical angle; stalk MP + CuA slightly shorter than basal cell; stem MP almost straight, forked in apical half of fore wing, at about 2/3 of fore wing length, with three terminals reaching margin between apex and posteroapical angle; stem CuA shorter than branches CuA1 and CuA2, about half as long as branch CuA1; claval vein CuP weak at base, not thickened distally; claval vein Pcu straight, claval vein A1 straight. Basal cell present, subtriangular, about twice as long as wide, basal veinlet cua-cup oblique, no other veinlets present; cell r (radial) very long, longer than half of fore wing length; cell m (medial) the shortest, shorter than cell cu (areola postica). Margins of fore wing with fringe of long setae, starting on costal margin near base of fore wing, ending at level of middle of cell cu; longitudinal veins with distinct, scarcely but evenly dispersed, movable setae; terminal section of CuP with two setae; costal margin with row of short, densely distributed setae, apical margin, tornus and claval margin with rows of scaly setae.Hind wing (Fig. 2B) membranous, shorter than fore wing, 3.23 times as long as wide. Costal margin bent at base, then almost straight up to the level of ScP + RA end and wing coupling lobe, then straight to anteroapical angle, anteroapical angle widely arcuate, apex arcuate, posteroapical angle arcuate, tornus straight, claval margin merely arcuate, posteroclaval angle angulate; stem ScP + R + MP bent at base, then straight, stem ScP + R short, branch ScP + RA short, about as long as stem ScP + R, branch RP arcuate basally than straight, reaching apex; stem MP arcuate, forked slightly distad CuA1 terminus level, branch MP1+2 slightly arcuate, reaching margin at posteroapical angle, branch MP3+4 straight, reaching tornus; stem CuA slightly bent at base, then straight, forked slightly distad ScP + R forking, branch CuA1 arcuate, branch CuA2 short, straight, slightly oblique, reaching tornus; claval vein CuP weak, visible only at base, claval vein Pcu slightly arcuate; wing coupling apparatus (fold) with a few short setae.Legs slender, relatively long, profemora armed (Fig. 2C–H). Procoxa as long as profemur, narrow, flattened. Protrochanter scaphoid, elongate, with long apical and subapical setae. Profemur flattened laterally, about as long as protibia, ventrally armed with four large setae on elevated plinths; dorsal margin with row of short, decumbent setae. Protibia narrow, rounded in cross section, covered with short setae, a few longer setae in distal portion. Protarsus—single, long tarsomere, plantar surface with row of semi-erect setae; tarsal claws long, straight, directed ventrally, no arolium nor empodium.Mesocoxa elongate, narrow, slightly flattened. Mesotrochanter scaphoid. Mesofemur slender, flattened laterally, dorsal margin with short setae. Mesotibia subequal to mesofemur, slender, covered with setae, two apical setae slightly thicker and longer. Mesotarsus with three tarsomeres, basimesotarsomere the longest, shorter than cumulative length of mid- and apical mesotarsomere, plantar margins with setae, two apical setae slightly longer and thicker; midmesotarsomere the shortest, 1/3 of basimesotarsomere length, a few setae on plantar surface; apical tarsomere shorter than basimesotarsomere, twice as long as midmesotarsomere, plantar surface with a few, scarcely dispersed setae, tarsal claws long, narrow, directed ventrally, no arolium nor empodium.Metacoxa conical, narrow. Metatrochanter scaphoid, elongate. Metafemur slender, laterally flattened, longer than mesofemur, dorsal margin with row of short setae. Metatibia, long, slender, 1.6 times as long as metafemur, with suberect setae of different size, two larger and longer and two shorter setae subapical setae. Metatarsus slightly less than half of metatibia length, with three tarsomeres, basimetatarsomere the longest, more than twice as long as apical metatarsomere, 1.5 times as long as combined length of mid- and apical metatarsomere, plantar surface with scarce decumbent setae; mid metatarsomere the shortest, 1/4 of basimetatarsomere length, plantar surface with a few setae, two apical ones slightly thicker; apical metatarsomere about 0.4 of basimetatarsomere length, with scarcely dispersed setae on along plantar surface; tarsal claws, long, slender, other pretarsal structures absent.Abdomen (Fig. 1F) narrowly attached to thorax, tergite segment shorter, 2nd tergite distinctly longer, 3rd to 8th tergites of similar length; pygofer narrowing apicad, ventral margin strongly elongated posteriorly; anal tube short, directed posterodorsad, anal style shorter than anal tube. Paramere lobate, ventral margin with acute, small process, apical and dorsal margins rounded. Aedeagus (Fig. 2I) geniculately bent at base, directed dorsad, tapered apicad.Female. Unknown.Megalophthallidion sp. (5th instar nymph)(Figs. 3A–D, 4A–F)Figure 3Megalophthallidion sp. (MAIG 6688), nymph. (A) Photo of body, dorsal side and (B) drawing of body dorsal side; (C) photo of body dorsal side and (D) drawing of body ventral side. Scale bars: 0.5 mm (A–D).Full size imageFigure 4Megalophthallidion sp. (MAIG 6688), nymph. Photo of clypeus and (B) drawing of clypeus; (C) photo of proleg, and (D) photo of mesoleg, and (E) photo of metaleg; (F) photo of posterior part of abdomen ventral side. Scale bars: 0.1 mm (A–F).Full size imageMaterialNymph, 5th instar, MAIG 6688 (BUB 1799), deposited in Museum of Amber Inclusions (MAIG), University of Gdańsk, Poland. Piece of amber 13 × 6 × 2 mm, cut from larger lump, polished flat on one side, more convex on the other.Diagnostic charactersThe nymph of Megalophthallidion gen. nov. is similar in general body shape to the only known fossil protopsyllidioidean nymph described from Lower Cretaceous Lebanese amber—Talaya batraba Drohojowska et Szwedo, 2013. The nymph of Talaya batraba is 2nd or 3rd instar, therefore some features are difficult to compare with this last instar nymph of Megalophthallidion gen. nov. The morphological states observed in those two specimens are: head covered with strongly expanded disc and expanded disc of pronotum, however shapes and ratios of these structures differ; compound eyes on ventral side of head, shifted laterad (ommatidia on cones in T. batraba, while ventroposterior expansions are present in Megalophthallidion gen. nov.); compound eyes visible from above as short, stout cones in fissure between posterior margin of disc (hypertrophied vertex) and anterior margin of pronotum (compound eyes (?) are visible on dorsal side of Permian Aleuronympha bibulla Riek, 1974); in Megalophthallidion gen. nov. rostrum reached mesocoxa, while in Talaya batraba distinctly exceeds length of the body; abdomen with 9 segments; tergites of abdominal segments 5th–9th expanded posterolaterad in form of fan-like expansion; 9th abdominal segment short, placed ventral; anal tube short, cylindrical, epiproct (?) globular.DescriptionNymph, 5th instar (Figs. 3A–D, 4A–F). Body oval shaped, dorso-ventrally flattened, 1.5 times longer than wide with segmentation visible; on the ventral side slightly concave. Length of body c. 1.56 mm long, outline, in dorsal view, maximum width of body 0.94 mm; length of head and pronotum (cephaloprothorax) c. 0.46 mm in midline, width c. 0.83 mm; cumulative length of mesonotum + metanotum c. 0.25 mm; abdomen c. 0.8 mm long. Dorsal side (Fig. 3A,B) with distinct median line (ecdysial line), not reaching anterior or posterior margin of the body, the line distinctly roof-like in abdominal portion. Anterior margin of head (cephaloprothorax) disc arcuate, lateral angles rounded; anterior margin of pronotum arcuate, lateral margins arcuately diverging posteriad, posterior margin distinctly arcuate, anterior angles widely rounded, posterior angles acutely rounded, disc elevated, convex, lateral portions declivitous; the fissure between posterior margin of head disc and anterior margin of pronotum narrow, widened medially, with stalked compound eyes popping out.Head partly separated from prothorax, wide in ventral view. Bases of antennae protruding anterolaterally, wide, anterior margin arcuate, with a small lump extending anteriorly connecting margin with vertex expansion. Suture separating anteclypeus and postclypeus visible in ventral aspect (Fig. 4A,B). Postclypeus about three times as long as wide, oval, slightly swollen, without any setae; weak traces of salivary pump muscle attachments visible. Anteclypeus about as long as postclypeus, widened in upper section below clypeal suture, convex, carinately elevated in lower section, with sides distinctly declivitous, clypellus long, carinately elevated. Lora (mandibulary plates) distinct, separated from anteclypeus by shallow suture, with upper angles at half of postclypeus length, lower angles at half of anteclypeus length, about as wide as half of postclypeus width. Maxillary plates narrow. Genal portion of head enlarged, medial portion arcuately convex; lateral sections narrowing laterally, terminally encircling bases of compound eyes. Antennae short (Fig. 3C,D), placed in front of genal portion. Antennal flagellum indistinctly subdivided into four segments. Rostrum (Fig. 4A,B) three-segmented, 0.2 mm long, with apex reaching apex of mesocoxae; apical segment about 2.5 times as long as subapical one.No lateral sclerites on meso- and metathorax, only one plus one large medial sclerite on both meso- and metathorax. Mesothoracic and metathoracic wing pads distinct, wide, subtriangular, with posterior apices directed posteriorly; lateral portions of mesothoracic wing pads arcuate. Fore wing pad 0.6 mm long, with small, straight humeral lobe, forming a right angle, not protruding anteriorly. Mesothoracic tergites slightly larger than metathoracic segments (respectively c. 0.14 mm and c. 0.12 mm long in midline, 0.26 mm and 0.27 mm in lateral lines); mesothoracic tergum with distinct median elevation (low double crest with ecdysial line in between), slightly wider than long in midline, anterior margin arcuate, lateral margins straight, subparallel, posterior margin concave. Metathoracic wing pad apex slightly exceeding mesothoracic wing pad. Metathoracic tergum wider than long, slightly shorter than mesothoracic tergum, with distinct elevation in the middle.Legs relatively long (Figs. 3C,D, 4C–E). Coxae of legs placed near the median axis of the body. Prolegs: procoxal pit with margins elevated, procoxa conical (c. 0.1 mm long), protrochanter scaphoid, about as long as procoxa, profemur c. 0.13 mm long, slightly flattened laterally, merely thickened, protibia longer than profemur, c. 0.23 mm long; tarsus shorter than protibia, basiprotarsomere about as long as apical protarsomere, the latter with distinct tarsal claws, and wide arolium. Mesoleg similar to proleg, mesocoxa conical (c. 0.1 mm long), mesotrochanter scaphoid, mesofemur (c. 0.13 mm) slightly flattened laterally, mesotibia slightly longer than mesofemur (c. 0.18 mm), mesotarsus slightly shorter than mesotibia, three-segmented, basimesotarsomere the longest (c. 0.07 mm), about as long as combined length of mid- and apical mesotarsomeres (c. 0.04 mm respectively), arolium wide, tarsal claws distinct. Metaleg: metacoxa conical (c. 0.1 mm), metatrochanter scaphoid, about as long as metacoxa (c. 0.12 mm). Metafemur (c. 0.17 mm) slightly more thickened than pro- and mesofemur, metatibia slightly longer (0.19 mm) than pro- and mesotibiae. Metatarsus three-segmented: basimetatarsomere about as long (0.08 mm) as combined length of mid- and apical metatarsomeres (0.04 mm respectively), arolium lobate, wide, tarsal claws distinct, widely spread.Abdomen (Fig. 3A–D) 9-segmented, narrow at base, widening fan-shape posteriorly, 1st segment visible from above, segmentation visible, abdominal terga 5th–9th expanded posterolaterally. Tergites carinately elevated in the middle, separated by ecdysial line. 1st sternite visible in ventral view, sternites 2nd–4th fused medially, sternites 5th–9th separated; 9th abdominal segment short (Fig. 4F), placed ventrally, under tergal expansion; anal tube short, cylindrical, epiproct (?) globular. More

  • in

    Environment is associated with chytrid infection and skin microbiome richness on an amphibian rich island (Taiwan)

    McCallum, M. L. Vertebrate biodiversity losses point to a sixth mass extinction. Biodivers. Conserv. 24, 2497–2519 (2015).
    Google Scholar 
    Wake, D. B. & Vredenburg, V. T. Are we in the midst of the sixth mass extinction? A view from the world of amphibians. Proc. Natl. Acad. Sci. 105, 11466–11473. https://doi.org/10.1073/pnas.0801921105 (2008).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Blehert, D. S. et al. Bat white-nose syndrome: An emerging fungal pathogen?. Science 323, 227. https://doi.org/10.1126/science.1163874 (2009).CAS 
    Article 
    PubMed 

    Google Scholar 
    Pautasso, M., Aas, G., Queloz, V. & Holdenrieder, O. European ash (Fraxinus excelsior) dieback—A conservation biology challenge. Biol. Cons. 158, 37–49 (2013).
    Google Scholar 
    Daszak, P., Cunningham, A. A. & Hyatt, A. D. Infectious disease and amphibian population declines. Divers. Distrib. 9, 141–150 (2003).
    Google Scholar 
    Fisher, M. C., Gow, N. A. R. & Gurr, S. J. Tackling emerging fungal threats to animal health, food security and ecosystem resilience. Philos. Trans. R. Soc. B Biol. Sci. https://doi.org/10.1098/rstb.2016.0332 (2016).Article 

    Google Scholar 
    Fisher, M. C. et al. Emerging fungal threats to animal, plant and ecosystem health. Nature 484, 186–194 (2012).CAS 
    PubMed 

    Google Scholar 
    Lips, K. R., Reeve, J. D. & Witters, L. R. Ecological traits predicting amphibian population declines in Central America. Conserv. Biol. 17, 1078–1088 (2003).
    Google Scholar 
    Zipkin, E. F., DiRenzo, G. V., Ray, J. M., Rossman, S. & Lips, K. R. Tropical snake diversity collapses after widespread amphibian loss. Science 367, 814–816. https://doi.org/10.1126/science.aay5733 (2020).CAS 
    Article 
    PubMed 

    Google Scholar 
    Berger, L. et al. Chytridiomycosis causes amphibian mortality associated with population declines in the rain forests of Australia and Central America. Proc. Natl. Acad. Sci. 95, 9031–9036 (1998).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Martel, A. et al. Recent introduction of a chytrid fungus endangers Western Palearctic salamanders. Science 346, 630–631. https://doi.org/10.1126/science.1258268 (2014).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Yap, T. A., Koo, M. S., Ambrose, R. F., Wake, D. B. & Vredenburg, V. T. Averting a North American biodiversity crisis. Science 349, 481–482 (2015).CAS 
    PubMed 

    Google Scholar 
    Weldon, C., du Preez, L. H., Hyatt, A. D., Muller, R. & Speare, R. Origin of the amphibian chytrid fungus. Emerg. Infect. Dis. 10, 2100–2105 (2004).PubMed 
    PubMed Central 

    Google Scholar 
    Talley, B. L., Muletz, C. R., Vredenburg, V. T., Fleischer, R. C. & Lips, K. R. A century of Batrachochytrium dendrobatidis in Illinois amphibians (1888–1989). Biol. Cons. 182, 254–261 (2015).
    Google Scholar 
    Rodriguez, D., Becker, C., Pupin, N., Haddad, C. & Zamudio, K. Long-term endemism of two highly divergent lineages of the amphibian-killing fungus in the Atlantic Forest of Brazil. Mol. Ecol. 23, 774–787 (2014).CAS 
    PubMed 

    Google Scholar 
    Goka, K. et al. Amphibian chytridiomycosis in Japan: Distribution, haplotypes and possible route of entry into Japan. Mol. Ecol. 18, 4757–4774 (2009).CAS 
    PubMed 

    Google Scholar 
    Bataille, A. et al. Genetic evidence for a high diversity and wide distribution of endemic strains of the pathogenic chytrid fungus Batrachochytrium dendrobatidis in wild Asian amphibians. Mol. Ecol. 23, 4196–4209. https://doi.org/10.1111/mec.12385 (2013).CAS 
    Article 

    Google Scholar 
    O’Hanlon, S. J. et al. Recent Asian origin of chytrid fungi causing global amphibian declines. Science 360, 621–627. https://doi.org/10.1126/science.aar1965 (2018).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Swei, A. et al. Is chytridiomycosis an emerging infectious disease in Asia?. PLoS ONE 6, e23179 (2011).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Bai, C. M., Garner, T. W. J. & Li, Y. M. First evidence of Batrachochytrium dendrobatidis in China: Discovery of chytridiomycosis in introduced American bullfrogs and native amphibians in the Yunnan Province, China. EcoHealth 7, 127–134. https://doi.org/10.1007/s10393-010-0307-0 (2010).Article 
    PubMed 

    Google Scholar 
    Yang, H. et al. First detection of the amphibian chytrid fungus Batrachochytrium dendrobatidis in free-ranging populations of amphibians on mainland Asia: Survey in South Korea. Dis. Aquat. Org. 86, 9–13 (2009).
    Google Scholar 
    Fong, J. J. et al. Early 1900s detection of Batrachochytrium dendrobatidis in Korean amphibians. PLoS ONE 10, e0115656 (2015).PubMed 
    PubMed Central 

    Google Scholar 
    Kusrini, M., Skerratt, L., Garland, S., Berger, L. & Endarwin, W. Chytridiomycosis in frogs of Mount Gede Pangrango, Indonesia. Diseases Aquat. Organ. 82, 187–194 (2008).CAS 

    Google Scholar 
    Laking, A. E., Ngo, H. N., Pasmans, F., Martel, A. & Nguyen, T. T. Batrachochytrium salamandrivorans is the predominant chytrid fungus in Vietnamese salamanders. Sci. Rep. 7, 44443. https://doi.org/10.1038/srep44443 (2017).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Zhu, W. et al. A survey for Batrachochytrium salamandrivorans in Chinese amphibians. Curr. Zool. 60, 729–735 (2014).
    Google Scholar 
    Beukema, W. et al. Environmental context and differences between native and invasive observed niches of Batrachochytrium salamandrivorans affect invasion risk assessments in the Western Palaearctic. Divers. Distrib. 24, 1788–1801. https://doi.org/10.1111/ddi.12795 (2018).Article 

    Google Scholar 
    Auliya, M. et al. The global amphibian trade flows through Europe: The need for enforcing and improving legislation. Biodivers. Conserv. https://doi.org/10.1007/s10531-016-1193-8 (2016).Article 

    Google Scholar 
    Scheffers, B. R., Edwards, D. P., Diesmos, A., Williams, S. E. & Evans, T. A. Microhabitats reduce animal’s exposure to climate extremes. Glob. Change Biol. 20, 495–503 (2014).
    Google Scholar 
    Schmeller, D. S. et al. People, pollution and pathogens—Global change impacts in mountain freshwater ecosystems. Sci. Total Environ. 622–623, 756–763. https://doi.org/10.1016/j.scitotenv.2017.12.006 (2018).CAS 
    Article 
    PubMed 

    Google Scholar 
    Bernardo-Cravo, A., Schmeller, D. S., Chatzinotas, A., Vredenburg, V. T. & Loyau, A. Environmental factors and host microbiomes shape host-pathogen dynamics. Trends Parasitol. 36, 29–36 (2020).
    Google Scholar 
    Harris, R. N. et al. Skin microbes on frogs prevent morbidity and mortality caused by a lethal skin fungus. ISME J. 3, 818–824. https://doi.org/10.1038/ismej.2009.27 (2009).CAS 
    Article 
    PubMed 

    Google Scholar 
    Harris, R. N., James, T. Y., Lauer, A., Simon, M. A. & Patel, A. Amphibian pathogen Batrachochytrium dendrobatidis is inhibited by the cutaneous bacteria of amphibian species. EcoHealth 3, 53–56. https://doi.org/10.1007/s10393-10005-10009-10391 (2006).Article 

    Google Scholar 
    Piovia-Scott, J. et al. Greater species richness of bacterial skin symbionts better suppresses the amphibian fungal pathogen Batrachochytrium dendrobatidis. Microb. Ecol. 74, 217–226 (2017).PubMed 

    Google Scholar 
    Ellison, S., Knapp, R. A., Sparagon, W., Swei, A. & Vredenburg, V. T. Reduced skin bacterial diversity correlates with increased pathogen infection intensity in an endangered amphibian host. Mol. Ecol. 28, 127–140 (2019).PubMed 

    Google Scholar 
    Jani, A. J. & Briggs, C. J. The pathogen Batrachochytrium dendrobatidis disturbs the frog skin microbiome during a natural epidemic and experimental infection. Proc. Natl. Acad. Sci. USA 111, E5049-5058. https://doi.org/10.1073/pnas.1412752111 (2014).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Kueneman, J. G. et al. The amphibian skin-associated microbiome across species, space and life history stages. Mol. Ecol. 23, 1238–1250 (2014).PubMed 

    Google Scholar 
    Kueneman, J. G. Ecology of the Amphibian Skin-Associated Microbiome and Its Role in Pathogen Defense (University of Colorado at Boulder, 2015).
    Google Scholar 
    Kueneman, J. G. et al. Community richness of amphibian skin bacteria correlates with bioclimate at the global scale. Nat. Ecol. Evolut. 3, 381–389. https://doi.org/10.1038/s41559-019-0798-1 (2019).Article 

    Google Scholar 
    Jiménez, R. R. & Sommer, S. The amphibian microbiome: Natural range of variation, pathogenic dysbiosis, and role in conservation. Biodivers. Conserv. 26, 763–786. https://doi.org/10.1007/s10531-016-1272-x (2017).Article 

    Google Scholar 
    Walke, J. B. et al. Amphibian skin may select for rare environmental microbes. ISME J 8, 2207–2217. https://doi.org/10.1038/ismej.2014.77 (2014).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    McKenzie, V. J., Bowers, R. M., Fierer, N., Knight, R. & Lauber, C. L. Co-habiting amphibian species harbor unique skin bacterial communities in wild populations. ISME J 6, 588–596. https://doi.org/10.1038/ismej.2011.129 (2012).CAS 
    Article 
    PubMed 

    Google Scholar 
    Bates, K. A. et al. Amphibian chytridiomycosis outbreak dynamics are linked with host skin bacterial community structure. Nat. Commun. 9, 693. https://doi.org/10.1038/s41467-018-02967-w (2018).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ellison, S. et al. The influence of habitat and phylogeny on the skin microbiome of amphibians in Guatemala and Mexico. Microb. Ecol. 78, 257–267 (2019).PubMed 

    Google Scholar 
    Fisher, M. C., Pasmans, F. & Martel, A. Virulence and pathogenicity of chytrid fungi causing amphibian extinctions. Annu. Rev. Microbiol. https://doi.org/10.1146/annurev-micro-052621-124212 (2021).Article 
    PubMed 

    Google Scholar 
    Haver, M. et al. The role of abiotic variables in an emerging global amphibian fungal disease in mountains. Sci. Total Environ. 815, 152735 (2021).PubMed 

    Google Scholar 
    Turner, A., Wassens, S., Heard, G. & Peters, A. Temperature as a driver of the pathogenicity and virulence of amphibian chytrid fungus Batrachochytrium dendrobatidis: A systematic review. J. Wildl. Dis. 57, 477–494 (2021).PubMed 

    Google Scholar 
    Woodhams, D., Alford, R., Briggs, C., Johnson, M. & Rollins-Smith, L. Life history trade-offs influence disease in changing climates: Strategies of an amphibian pathogen. Ecology 89, 1627–1639 (2008).PubMed 

    Google Scholar 
    Sonn, J. M., Berman, S. & Richards-Zawacki, C. L. The influence of temperature on chytridiomycosis in vivo. EcoHealth 14, 762–770. https://doi.org/10.1007/s10393-017-1269-2 (2017).Article 
    PubMed 

    Google Scholar 
    Schmidt, B., Küpfer, E., Geiger, C., Wolf, S. & Schär, S. Elevated temperature clears chytrid fungus infections from tadpoles of the midwife toad, Alytes obstetricans. Amphibia-Reptilia 32, 276–280 (2011).
    Google Scholar 
    Bielby, J., Cooper, N., Cunningham, A. A., Garner, T. W. J. & Purvis, A. Predicting susceptibility to future declines in the world’s frogs. Conserv. Lett. 1, 82–90 (2008).
    Google Scholar 
    Gray, M. J., Miller, D. L. & Hoverman, J. T. Ecology and pathology of amphibian ranaviruses. Dis. Aquat. Org. 87, 243–266 (2009).
    Google Scholar 
    Murray, K., Skerratt, L., Speare, R. & McCallum, H. Impact and dynamics of disease in species threatened by the amphibian chytrid fungus, Batrachochytrium dendrobatidis. Conserv. Biol. 23, 1242–1252 (2009).PubMed 

    Google Scholar 
    Schmeller, D. S. et al. Microscopic aquatic predators strongly affect infection dynamics of a globally emerged pathogen. Curr. Biol. 24, 176–180. https://doi.org/10.1016/j.cub.2013.11.032 (2014).CAS 
    Article 
    PubMed 

    Google Scholar 
    Metzger, M. J. et al. Environmental stratifications as the basis for national, European and global ecological monitoring. Ecol. Ind. 33, 26–35. https://doi.org/10.1016/j.ecolind.2012.11.009 (2013).Article 

    Google Scholar 
    Metzger, M. J. et al. A high-resolution bioclimate map of the world: A unifying framework for global biodiversity research and monitoring. Glob. Ecol. Biogeogr. 22, 630–638. https://doi.org/10.1111/geb.12022 (2013).Article 

    Google Scholar 
    Clare, F., Daniel, O., Garner, T. & Fisher, M. Assessing the ability of swab data to determine the true burden of infection for the amphibian pathogen Batrachochytrium dendrobatidis. EcoHealth 13, 360–367. https://doi.org/10.1007/s10393-016-1114-z (2016).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Cheng, T. L., Rovito, S. M., Wake, D. B. & Vredenburg, V. T. Coincident mass extirpation of neotropical amphibians with the emergence of the infectious fungal pathogen Batrachochytrium dendrobatidis. Proc. Natl. Acad. Sci. 108, 9502–9507 (2011).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Vredenburg, V. T. et al. Pathogen invasion history elucidates contemporary host pathogen dynamics. PLoS ONE 14, e0219981. https://doi.org/10.1371/journal.pone.0219981 (2019).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Hyatt, A. D. et al. Diagnostic assays and sampling protocols for the detection of Batrachochytrium dendrobatidis. Dis. Aquat. Org. 73, 175–192 (2007).CAS 

    Google Scholar 
    Blooi, M. et al. Duplex real-time PCR for rapid simultaneous detection of Batrachochytrium dendrobatidis and B. salamandrivorans in amphibian samples. J. Clin. Microbiol. 51, 4173–4177 (2013).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Boyle, D. G., Boyle, D. B., Olsen, V., Morgan, J. A. T. & Hyatt, A. D. Rapid quantitative detection of chytridiomycosis (Batrachochytrium dendrobatidis) in amphibian samples using real-time Taqman PCR assay. Dis. Aquat. Org. 60, 141–148 (2004).CAS 

    Google Scholar 
    Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet. J. 17, 10–12 (2011).
    Google Scholar 
    Callahan, B. J. et al. DADA2: High-resolution sample inference from Illumina amplicon data. Nat. Methods 13, 581–583 (2016).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Pruesse, E., Peplies, J. & Glöckner, F. O. SINA: Accurate high-throughput multiple sequence alignment of ribosomal RNA genes. Bioinformatics 28, 1823–1829 (2012).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Quast, C. et al. The SILVA ribosomal RNA gene database project: Improved data processing and web-based tools. Nucleic Acids Res. 41, D590–D596 (2012).PubMed 
    PubMed Central 

    Google Scholar 
    Bokulich, N. A. & Mills, D. A. Improved selection of internal transcribed spacer-specific primers enables quantitative, ultra-high-throughput profiling of fungal communities. Appl. Environ. Microbiol. https://doi.org/10.1128/aem.03870-12 (2013).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    McMurdie, P. J. & Holmes, S. Waste not, want not: Why rarefying microbiome data is inadmissible. PLoS Comput. Biol. 10, e1003531 (2014).PubMed 
    PubMed Central 

    Google Scholar 
    Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A. & Hegewisch, K. C. TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015. Sci. Data 5, 170191. https://doi.org/10.1038/sdata.2017.191 (2018).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wells, N., Goddard, S. & Hayes, M. J. A self-calibrating Palmer Drought Severity Index. J. Clim. 17, 2335–2351 (2004).
    Google Scholar 
    Segata, N. et al. Metagenomic biomarker discovery and explanation. Genome Biol. 12, R60. https://doi.org/10.1186/gb-2011-12-6-r60 (2011).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Fisher, M. C. et al. RACE: Risk assessment of chytridiomycosis to European Amphibian Biodiversity. Froglog 101, 45–47 (2012).
    Google Scholar  More

  • in

    Spatio-temporal dynamics of phytoplankton community in a well-mixed temperate estuary (Sado Estuary, Portugal)

    Physico-chemical characterization of the Sado EstuaryThe seasonal cycle of water temperature in the Sado Estuary in 2018 and 2019, showed the expected pattern, with maxima temperature observed in summer and minima in winter (Fig. 2A). During summer, warmer temperatures were found in the inner regions of the estuary (AC and MC) and lower temperatures near the mouth of the estuary (EM). During winter, there was an inversion of the pattern, with the coolest waters recorded inside the estuary (Fig. 2A). Near the estuary mouth (EM), salinities recorded were always between 35 and 36 (Fig. 2B). In the inner stations, higher salinities ( > 30) were found during summer/early-autumn of 2018 and late-spring/summer of 2019. Maxima salinities ( > 36) were recorded in the summer of 2019 (Fig. 2B). The lowest salinities were always found in the upper region (AC), reaching a minimum of 12 in March 2018 (Fig. 2B).Figure 2Discrete time series of physico-chemical variables obtained in the Sado Estuary during sampling surveys. (A)—Water temperature (°C); (B)—Salinity; (C)—Turbidity (NTU); (D)—Coloured dissolved organic matter at 443 nm (CDOM, m−1); (E)—pH; (F)—Dissolved oxygen (DO, mg L−1); (G)—Dissolved inorganic nitrogen (DIN, µmol L−1); (H)—Phosphate (PO43−, µmol L−1); and (I) –Silicate (Si(OH)4, µmol L−1).Full size imageThe water turbidity was substantially higher in AC, reaching values above 10 NTU in the summer of 2018 and since spring of 2019, with a maximum of 40 NTU recorded in March 2018 (Fig. 2C). The turbidity values and seasonal pattern for stations MC and MR were similar, with a maximum of 10 NTU recorded in MR during spring of 2018 (Fig. 2C). Lower turbidity was observed during winter in stations AC, MC, and MR (Fig. 2C). Water turbidity was always lower than 1.5 NTU at EM (Fig. 2C). The CDOM was higher in the upper region and lower in the downstream area (Fig. 2D). At AC, a CDOM value  10 µmol L−1) (Fig. 2G). Phosphate concentrations were below 1.5 µmol L−1 in the entire estuary, with higher values in the inner stations, and lower ( More

  • in

    Fractal features of soil grain-size distribution in a typical Tamarix cones in the Taklimakan Desert, China

    Filgueira, R. R., Fournier, L. L., Cerisola, C. I., Gelati, P. & Garcia, M. G. Particle-size distribution in soils: A critical study of the fractal model validation. Geoderma 134, 327–334 (2006).ADS 
    Article 

    Google Scholar 
    Deng, J. F., Li, J. H., Deng, G., Zhu, H. Y. & Zhang, R. H. Fractal scaling of particle-size distribution and associations with soil properties of Mongolian pine plantations in the Mu Us Desert, China. Sci. Rep. 7, 6742 (2018).ADS 
    Article 

    Google Scholar 
    Gao, Y. J. et al. “Fertile islands” beneath three desert vegetation on soil phosphorus fractions, enzymatic activities, and microbial biomass in the desert-oasis transition zone. CATENA 212, 106090 (2022).CAS 
    Article 

    Google Scholar 
    Zeraatpisheh, M., Ayoubi, S., Mirbagheri, Z., Mosaddeghi, M. R. & Xu, M. Spatial prediction of soil aggregate stability and soil organic carbon in aggregate fractions using machine learning algorithms and environmental variables. Geoderma Regioanl. 27, e00440 (2021).Article 

    Google Scholar 
    Zha, C., Shao, M., Jia, X. & Zhang, C. Particle size distribution of soils (0–500 cm) in the Loess Plateau, China. Geoderma 7, 251–258 (2016).Article 

    Google Scholar 
    Callesen, I., Keck, H. & Andersen, T. J. Particle size distribution in soils and marine sediments by laser diffraction using Malvern Mastersizer 2000-method uncertainty including the effect of hydrogen peroxide pretreatment. J. Soils Sediments 18, 2500–2510 (2018).CAS 
    Article 

    Google Scholar 
    He, Y. J. & Lv, D. Y. Fractal expression of soil particle-size distribution at the basin scale. Open Geosci. 14, 70–78 (2022).Article 

    Google Scholar 
    Besalatpour, A. A., Ayoubi, S., Hajabbasi, M. A., Mosaddeghi, M. R. & Schulin, R. Estimating wet soil aggregate stability from easily available properties in a highly mountainous watershed. CATENA 111, 72–79 (2013).Article 

    Google Scholar 
    Besalatpour, A. A., Ayoubi, S., Hajabbasi, M. A., Yousefian, J. A. & Gharipour, A. Feature selection using parallel genetic algorithm for the prediction of geometric mean diameter of soil aggregates by machine learning methods. Arid Land Res. Manag. 28, 383–394 (2014).Article 

    Google Scholar 
    Xu, G. C., Li, Z. B. & Li, P. Fractal features of soil particle-size distribution and total soil nitrogen distribution in a typical watershed in the source area of the middle Dan River, China. CATENA 101, 17–23 (2013).CAS 
    Article 

    Google Scholar 
    Jia, W. R. et al. Grain size distribution at four developmental stages of crescent dunes in the hinterland of the Taklimakan Desert, China. J. Arid Land 8, 722–733 (2016).Article 

    Google Scholar 
    Rabot, E., Wiesmeier, M., Schlüter, S. & Vogel, H. J. Soil structure as an indicator of soil functions: A review. Geoderma 314, 122–137 (2018).ADS 
    Article 

    Google Scholar 
    Ghanbarian, B. & Daigle, H. Fractal dimension of soil fragment mass-size distribution: A critical analysis. Geoderma 245–246, 98–103 (2015).ADS 
    Article 

    Google Scholar 
    Deng, Y., Cai, C., Xia, D., Ding, S. & Chen, J. Fractal features of soil particle size distribution under different land-use patterns in the alluvial fans of collapsing gullies in the hilly granitic region of southern China. PLoS ONE 12, e0173555 (2017).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Zhai, J. Y. et al. Change in soil particle size distribution and erodibility with latitude and vegetation restoration chronosequence on the Loess Plateau, China. Int. J Environ. Res. Public Health 17, 822 (2020).CAS 
    PubMed Central 
    Article 

    Google Scholar 
    Gao, Z. Y., Niu, F. J., Lin, Z. J. & Luo, J. Fractal and multifractal analysis of soil particle-size distribution and correlation with soil hydrological properties in active layer of Qinghai-Tibet Plateau, China. CATENA 203, 105373 (2021).Article 

    Google Scholar 
    Chen, T. L. et al. Multifractal characteristics and spatial variability of soil particle-size distribution in different land use patterns in a small catchment of the Three Gorges Reservoir Region, China. J. Mt. Sci. 18, 111–125 (2021).Article 

    Google Scholar 
    Gui, D. W. et al. Characterizing variations in soil particle size distribution in oasis farmlands-a case study of the Cele Oasis. Math. Comput. Model. 51, 1306–1311 (2010).Article 

    Google Scholar 
    Millán, H., Gonzalez-Posada, M., Aguilar, M., Domınguez, J. & Céspedes, L. On the fractal scaling of soil data. Particle-size distributions. Geoderma 117, 117–128 (2003).ADS 
    Article 

    Google Scholar 
    Qi, F. et al. Soil particle size distribution characteristics of different land-use types in the Funiu mountainous region. Soil Till. Res. 184, 45–51 (2018).Article 

    Google Scholar 
    Muhtar, Q., Hiroki, T. & Mijit, H. Formation and internal structure of Tamarix cones in the Taklimakan Desert. J. Arid Environ. 50, 81–97 (2002).Article 

    Google Scholar 
    Zhao, Y. J. & Xia, X. C. Research on the Relationship Between Tamarix Cone and Environmental Change in Lop Nur Region of Xinjiang 38–142 (Sci. Press, 2011) (in Chinese).
    Google Scholar 
    Yin, C. H., Shi, Q. M., Liang, F. & Tian, C. Y. Distribution pattern of soil salinity in Tamarix Nebkhas in Tarim Basin. Bull Soil Water Conserv. 33, 287–293 (2013) (in Chinese).
    Google Scholar 
    Zheng, T., Li, J. G., Li, W. H. & Wan, J. H. Soil heterogeneity and its effects on plant community in oasis desert transition zone in the lower peaches of Tarim River. J. Desert Res. 30, 128–134 (2010) (in Chinese).
    Google Scholar 
    Liu, J. H., Wang, X. Q., Ma, Y. & Tan, F. Z. Spatial variation of soil salinity on Tamarix ramosissima nebkhas and interdune in oasis-desert ecotone. J. Desert Res. 36, 181–189 (2016) (in Chinese).CAS 

    Google Scholar 
    Dong, Z. W. et al. Stoichiometric features of C, N, and P in soil and litter of Tamarix cones and their relationship with environmental factors in the Taklimakan Desert, China. J. Soils Sediments 20, 690–704 (2020).CAS 
    Article 

    Google Scholar 
    Dong, Z. W., Li, S. Y., Mao, D. L. & Lei, J. Q. Distribution pattern of soil grain size in Tamarix sand dune in the southwest of Gurbantunggut Desert. J. Soil Water Conserv. 35, 64-72/79 (2021) (in Chinese).
    Google Scholar 
    Dong, Z. W., Zhao, Y., Lei, J. Q. & Xi, Y. Q. Distribution pattern and influencing factors of soil salinity at Tamarix cones in the Taklimakan Desert. Chin. J. Plant Eco. 42, 873–884 (2018) (in Chinese).Article 

    Google Scholar 
    Xu, L. S. et al. Oasis microclimate effect on the dust deposition in Cele Oasis at southern Tarim Basin, China. Arab J. Geosci. 9, 294 (2016).Article 

    Google Scholar 
    Liu, J. H., Wang, X. Q., Ma, Y. & Tan, F. Z. Spatial heterogeneity of soil grain size on Tamarix ramosissima nebkhas and interdune in desert-oasis ecotone. J. Beijing For. Univ. 37, 89–99 (2015) (in Chinese).CAS 

    Google Scholar 
    Mao, D. L. et al. Fractal characteristics of grain size of sand and dust in aeolian sand movement in Cele oasis-desert ecotone in Xinjiang, China. Acta Pedol. Sinica 55, 88–99 (2018) (in Chinese).
    Google Scholar 
    Li, J. R. & Ravib, S. Interactions among hydrological-aeolian processes and vegetation determine grain-size distribution of sediments in a semi-arid coppice dune (nebkha) system. J. Arid Environ. 154, 24–33 (2018).ADS 
    Article 

    Google Scholar 
    Ayoubi, S., Karchegani, P. M., Mosaddeghi, M. R. & Honarjoo, N. Soil aggregation and organic carbon as affected by topography and land use change in western Iran. Soil Till. Res. 121, 18–26 (2012).Article 

    Google Scholar 
    Wang, X. M., Dong, Z. B., Zhang, J. W. & Chen, G. T. Geomorphology of sand dunes in the Northeast Taklimakan Desert. Geomorphology 42, 183–195 (2002).ADS 
    Article 

    Google Scholar 
    Liu, W. G. et al. Onset of permanent Taklimakan Desert linked to the mid-Pleistocene transition. Geology 48, 782–786 (2020).ADS 
    CAS 
    Article 

    Google Scholar 
    Yang, X. H. et al. Characteristics of soil particle size distribution and its effect on dust emission in Taklimakan Desert. Trans. CSAE 36, 167–174 (2020) (in Chinese).
    Google Scholar 
    Bao, S. D. Soil agricultural chemistry analysis 152–200 (China Agr. Press, 2000) (in Chinese).
    Google Scholar 
    Folk, R. L. & Ward, W. C. Brazos Riverbar: A study in the significance of grain size parameters. J. Sediment Petrol. 27, 3–26 (1957).ADS 
    Article 

    Google Scholar 
    Weil, R. R. & Brady, N. C. The Nature and Properties of Soils 15th edn. (PrenticeHall Press, 2017).
    Google Scholar 
    Churchman, G. J. Game changer in soil science. Functional role of clay minerals in soil. J. Plant Nutr. Soil Sci. 181, 99–103 (2018).CAS 
    Article 

    Google Scholar 
    Tyler, S. W. & Wheatcraft, S. W. Fractal scaling of soil particle size distributions: Analysis and limitations. Soil Sci. Soc. Am. J. 56, 362–369 (1992).ADS 
    Article 

    Google Scholar 
    Lin, Y. C., Mu, G. J., Xu, L. S. & Zhao, X. The origin of bimodal grain-size distribution for aeolian deposits. Aeolian Res. 20, 80–88 (2016).ADS 
    Article 

    Google Scholar 
    Sha, G. L., Wei, T. X., Chen, Y. X., Fu, Y. C. & Ren, K. Characteristics of soil particle size distribution of typical plantcommunities on the hilly areas of Loess Plateau. Arid Land Geogr. https://doi.org/10.12118/j.issn.1000-6060.2021.487 (2022) (in Chinese).Article 

    Google Scholar 
    Yang, J. D., Li, G. J., Dai, Y., Rao, W. B. & Ji, J. F. Isotopic evidences for provenances of loess of the Chinese Loess Plateau. Earth Sci. Front. 16, 195–206 (2009) (in Chinese).
    Google Scholar 
    Wu, L. & Zhang, Y. M. Precipitation and soil particle size co-determine spatial distribution of biological soil crusts in the Gurbantunggut Desert, China. J. Arid Land 10, 701–711 (2018).Article 

    Google Scholar 
    Li, X. B. et al. Relationship between soil particle size distribution and soil nutrient distribution characteristics in typical communities of desert grassland. Actabot. Boreal-Occident Sin. 37, 1635–1644 (2017) (in Chinese).
    Google Scholar 
    Gao, G. L. et al. Fractal scaling of particle size distribution and relationships with topsoil properties affected by biological soil crusts. PLoS ONE 9, e88559 (2014).ADS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Zhao, Y., Feng, Q. & Yang, H. Soil salinity distribution and its relationship with soil particle size in the lower reaches of Heihe River, Northwestern China. Environ. Earth Sci. 75, 1–18 (2016).ADS 
    Article 

    Google Scholar 
    Zhang, X. Y. et al. Sources of Asian dust and role of climate change versus desertification in Asian dust emission. Geophys. Res. Lett. 30, 2272 (2003).ADS 
    Article 

    Google Scholar  More

  • in

    Study of cattle microbiota in different regions of Kazakhstan using 16S metabarcoding analysis

    Comparative characteristics of rations for feeding cattle from different regions of the Republic of Kazakhstan and the impact of animal feeding types on the faecal microbiotaDue to the huge differences in the natural and climatic conditions of Kazakhstan, animals from different regions of Kazakhstan were enrolled for this study. The difference in soil and climatic conditions of different zones has a significant impact on the type of feeding (Table 1) and the composition of diets, which has a certain effect on the microbiota of intestinal contents and methanogenic archaea in particular.Table 1 Animal diets in different regions of Kazakhstan.Full size tableIn the course of the research work, regions and specific agricultural formations were identified in the context of these regions.In North Kazakhstan, the fodder base is represented by such fodders as alfalfa hay, herb hay, alfalfa haylage, wheat straw, fodder wheat and sunflower cake. The feed is mainly of 2 quality classes. The live weight of cattle ranged from 375 to 480 kg. Feeding type: hay-concentrate and haylage-hay-concentrate.In the Western region, the animals were on the pasture, represented by the green mass of feather grass, hair, sage and tansy. Beef cattle are represented by the following breeds: Kazakh white-headed, Aberdeen-Angus and Hereford. Average live weight is 350–550 kg.In the Southeast region, the fodder base consists of wheat hay, sainfoin + alfalfa hay, mountain hay, herb haylage, corn silage and crushed corn. The feed is mainly of 2 and 3 classes. Hay-concentrate type of feeding is used, as well as pastures. Livestock of Angus, Kazakh white-headed breeds and animals of the local population are kept. Live weight of young animals is in the range of 360–380 kg.The diets of the Southern Region include natural grass hay, alfalfa hay, wheat straw, alfalfa haylage and concentrates. Hay-concentrate type of livestock feeding is widespread in the region. The average live weight of bulls for fattening of the Kazakh white-headed and Angus breeds—360–420 kg with a daily increase in live weight of 870–920 g.The composition of the fecal microbiota depending on the type of feeding is presented in Table 2.Table 2 The content of methanogenic archaea in feces.Full size tableFrom the data of Table 2 it follows that the largest amount of Bacteria was found in the faeces of animals with silage-concentrated feeding (98.59 ± 13.0%), and the smallest—with pasture-concentrated (93.24 ± 3.73%) and haylage—concentrated (93.8 ± 12.41%) types of feeding. The differences amounted to 5.35 and 4.79 absolute percent, respectively. However, the differences were not significant at P  More

  • in

    Influence of green technology, green energy consumption, energy efficiency, trade, economic development and FDI on climate change in South Asia

    Kejun, J. et al. Transition of the Chinese economy in the face of deep greenhouse gas emissions cuts in the future. Asian Econ. Policy Rev. 16(1), 142–162 (2021).
    Google Scholar 
    COP26, United nations climate change. https://unfccc.int/news/cop26-facts-and-figures, (2020).Dong, Y., Coleman, M. and Miller, S. A. Greenhouse gas emissions from air conditioning and refrigeration service expansion in developing countries. Annual Rev. Environ. Resour. 46 (2021).Azam, M. & Khan, A. Q. Testing the Environmental Kuznets Curve hypothesis: A comparative empirical study for low, lower middle, upper middle and high income countries. Renew. Sustain. Energy Rev. 63, 556–567 (2016).CAS 

    Google Scholar 
    Li, Z. et al. An economic analysis software for evaluating best management practices to mitigate greenhouse gas emissions from cropland. Agric. Syst. 186, 102950 (2021).
    Google Scholar 
    Dinda, S. Environmental Kuznets curve hypothesis: A survey. Ecol. Econ. 49(4), 431–455 (2004).
    Google Scholar 
    Xia, Q. et al. Drivers of global and national CO2 emissions changes 2000–2017. Climate Policy 21(5), 604–615 (2021).
    Google Scholar 
    Fatima, T., Shahzad, U. & Cui, L. Renewable and nonrenewable energy consumption, trade and CO2 emissions in high emitter countries: Does the income level matter?. J. Environ. Planning Manage. 64(7), 1227–1251 (2021).
    Google Scholar 
    Kılavuz, E. & Doğan, İ. Economic growth, openness, industry and CO2 modelling: Are regulatory policies important in Turkish economies?. Int. J. Low-Carbon Technol. 16(2), 476–487 (2021).
    Google Scholar 
    Setyari, N. P. W. & Kusuma, W. G. A. Economics and environmental development: Testing the environmental Kuznets Curve hypothesis. Int. J. Energy Econ. Policy 11(4), 51 (2021).
    Google Scholar 
    Gołasa, P. et al. Sources of greenhouse gas emissions in agriculture, with particular emphasis on emissions from energy used. Energies 14(13), 3784 (2021).
    Google Scholar 
    Liobikienė, G. & Butkus, M. The challenges and opportunities of climate change policy under different stages of economic development. Sci. Total Environ. 642, 999–1007 (2018).ADS 
    PubMed 

    Google Scholar 
    Koondhar, M. A. et al. A visualization review analysis of the last two decades for environmental Kuznets curve “EKC” based on co-citation analysis theory and pathfinder network scaling algorithms. Environ. Sci. Pollut. Res. 28(13), 16690–16706 (2021).CAS 

    Google Scholar 
    Bilgili, F., Koçak, E. & Bulut, Ü. The dynamic impact of renewable energy consumption on CO2 emissions: A revisited Environmental Kuznets Curve approach. Renew. Sustain. Energy Rev. 54, 838–845 (2016).
    Google Scholar 
    Gorus, M. S. & Aydin, M. The relationship between energy consumption, economic growth, and CO2 emission in MENA countries: Causality analysis in the frequency domain. Energy 168, 815–822 (2019).
    Google Scholar 
    Kirikkaleli, D. & Adebayo, T. S. Do renewable energy consumption and financial development matter for environmental sustainability? New global evidence. Sustain. Develop. 29(4), 583–594 (2021).
    Google Scholar 
    Godil, D. I. et al. Investigate the role of technology innovation and renewable energy in reducing transport sector CO2 emission in China: A path toward sustainable development. Sustain. Develop. (2021).An, T., Xu, C. & Liao, X. The impact of FDI on environmental pollution in China: Evidence from spatial panel data. Environ. Sci. Pollut. Res. 1–13 (2021).Halliru, A. M., Loganathan, N. and Golam Hassan, A. A. Does FDI and economic growth harm environment? Evidence from selected West African countries. Trans. Corp. Rev., 13(2), 237–251 (2021.).Al-Mulali, U., Ozturk, I. & Solarin, S. A. Investigating the environmental Kuznets curve hypothesis in seven regions: The role of renewable energy. Ecol. Ind. 67, 267–282 (2016).
    Google Scholar 
    Zhang, D. et al. Public spending and green economic growth in BRI region: Mediating role of green finance. Energy Policy 153, 112256 (2021).
    Google Scholar 
    Usman, M. et al. How do financial development, energy consumption, natural resources, and globalization affect Arctic countries’ economic growth and environmental quality? An advanced panel data simulation. Energy, 122515 (2021).Rehman, A. et al. The impact of globalization, energy use, and trade on ecological footprint in Pakistan: does environmental sustainability exist?. Energies 14(17), 5234 (2021).CAS 

    Google Scholar 
    Bremond, U. et al. A vision of European biogas sector development towards 2030: Trends and challenges. J. Clean. Prod. 287, 125065 (2021).
    Google Scholar 
    Abdul Latif, S. N. et al. The trend and status of energy resources and greenhouse gas emissions in the malaysia power generation mix. Energies 14(8), 2200 (2021).CAS 

    Google Scholar 
    Chen, P.-Y. et al. Modeling the global relationships among economic growth, energy consumption and CO2 emissions. Renew. Sustain. Energy Rev. 65, 420–431 (2016).CAS 

    Google Scholar 
    Kais, S. & Sami, H. An econometric study of the impact of economic growth and energy use on carbon emissions: Panel data evidence from fifty eight countries. Renew. Sustain. Energy Rev. 59, 1101–1110 (2016).
    Google Scholar 
    Rüstemoğlu, H. & Andrés, A. R. Determinants of CO2 emissions in Brazil and Russia between 1992 and 2011: A decomposition analysis. Environ. Sci. Policy 58, 95–106 (2016).
    Google Scholar 
    Yao, C., Feng, K. & Hubacek, K. Driving forces of CO2 emissions in the G20 countries: An index decomposition analysis from 1971 to 2010. Eco. Inform. 26, 93–100 (2015).
    Google Scholar 
    González, P. F., Landajo, M. & Presno, M. The driving forces behind changes in CO2 emission levels in EU-27. Differences between member states. Environ. Sci. Policy 38, 11–16 (2014).
    Google Scholar 
    Nathaniel, S. P. Environmental degradation in ASEAN: assessing the criticality of natural resources abundance, economic growth and human capital. Environ. Sci. Pollut. Res. 28(17), 21766–21778 (2021).
    Google Scholar 
    Baloch, M. A., Mahmood, N. & Zhang, J. W. Effect of natural resources, renewable energy and economic development on CO2 emissions in BRICS countries. Sci. Total Environ. 678, 632–638 (2019).ADS 
    PubMed 

    Google Scholar 
    Balsalobre-Lorente, D. et al. How economic growth, renewable electricity and natural resources contribute to CO2 emissions?. Energy Policy 113, 356–367 (2018).
    Google Scholar 
    Bekun, F. V., Alola, A. A. & Sarkodie, S. A. Toward a sustainable environment: Nexus between CO2 emissions, resource rent, renewable and nonrenewable energy in 16-EU countries. Sci. Total Environ. 657, 1023–1029 (2019).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Baloch, M. A. & Meng, F. Modeling the non-linear relationship between financial development and energy consumption: Statistical experience from OECD countries. Environ. Sci. Pollut. Res. 26(9), 8838–8846 (2019).
    Google Scholar 
    Dong, K., Sun, R. & Hochman, G. Do natural gas and renewable energy consumption lead to less CO2 emission? Empirical evidence from a panel of BRICS countries. Energy 141, 1466–1478 (2017).
    Google Scholar 
    Omri, A. et al. Determinants of environmental sustainability: Evidence from Saudi Arabia. Sci. Total Environ. 657, 1592–1601 (2019).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Zhu, H. et al. The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression. Econ. Model. 58, 237–248 (2016).
    Google Scholar 
    Cheng, C. et al. Heterogeneous impacts of renewable energy and environmental patents on CO2 emission-evidence from the BRIICS. Sci. Total Environ. 668, 1328–1338 (2019).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Zhang, C. & Zhou, X. Does foreign direct investment lead to lower CO2 emissions? Evidence from a regional analysis in China. Renew. Sustain. Energy Rev. 58, 943–951 (2016).
    Google Scholar 
    Phung, T. Q., Rasoulinezhad, E. and Luong Thi Thu, H. How are FDI and green recovery related in Southeast Asian economies? Econ. Change Restruct. 1–21 (2022).Quang, P.T. and Thao, D. P. Analyzing the green financing and energy efficiency relationship in ASEAN. J. Risk Financ. (2022)(ahead-of-print).Ahmad, M. et al. Modelling the dynamic linkages between eco-innovation, urbanization, economic growth and ecological footprints for G7 countries: Does financial globalization matter?. Sustain. Cities Soc. 70, 102881 (2021).
    Google Scholar 
    Murshed, M. An empirical analysis of the non-linear impacts of ICT-trade openness on renewable energy transition, energy efficiency, clean cooking fuel access and environmental sustainability in South Asia. Environ. Sci. Pollut. Res. 27(29), 36254–36281 (2020).CAS 

    Google Scholar 
    Díaz-García, C., González-Moreno, Á. & Sáez-Martínez, F. J. Eco-innovation: Insights from a literature review. Innovation 17(1), 6–23 (2015).
    Google Scholar 
    Wang, L. et al. Are eco-innovation and export diversification mutually exclusive to control carbon emissions in G-7 countries?. J. Environ. Manage. 270, 110829 (2020).PubMed 

    Google Scholar 
    Su, H.-N. & Moaniba, I. M. Does innovation respond to climate change? Empirical evidence from patents and greenhouse gas emissions. Technol. Forecast. Soc. Chang. 122, 49–62 (2017).
    Google Scholar 
    Ding, Q., Khattak, S. I. & Ahmad, M. Towards sustainable production and consumption: assessing the impact of energy productivity and eco-innovation on consumption-based carbon dioxide emissions (CCO2) in G-7 nations. Sustain. Prod. Consum. 27, 254–268 (2021).
    Google Scholar 
    Zhang, Y.-J. et al. Can environmental innovation facilitate carbon emissions reduction? Evidence from China. Energy Policy 100, 18–28 (2017).
    Google Scholar 
    Solarin, S. A. & Bello, M. O. Energy innovations and environmental sustainability in the US: the roles of immigration and economic expansion using a maximum likelihood method. Sci. Total Environ. 712, 135594 (2020).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Hashmi, R. & Alam, K. Dynamic relationship among environmental regulation, innovation, CO2 emissions, population, and economic growth in OECD countries: A panel investigation. J. Clean. Prod. 231, 1100–1109 (2019).
    Google Scholar 
    Sinha, A., Sengupta, T. & Alvarado, R. Interplay between technological innovation and environmental quality: Formulating the SDG policies for next 11 economies. J. Clean. Prod. 242, 118549 (2020).
    Google Scholar 
    Gormus, S. & Aydin, M. Revisiting the environmental Kuznets curve hypothesis using innovation: New evidence from the top 10 innovative economies. Environ. Sci. Pollut. Res. 27(22), 27904–27913 (2020).
    Google Scholar 
    Usman, M. & Hammar, N. Dynamic relationship between technological innovations, financial development, renewable energy, and ecological footprint: Fresh insights based on the STIRPAT model for Asia Pacific Economic Cooperation countries. Environ. Sci. Pollut. Res. 28(12), 15519–15536 (2021).
    Google Scholar 
    Shahbaz, M., Mutascu, M. & Azim, P. Environmental Kuznets curve in Romania and the role of energy consumption. Renew. Sustain. Energy Rev. 18, 165–173 (2013).
    Google Scholar 
    Kong, Q. et al. Trade openness and economic growth quality of China: Empirical analysis using ARDL model. Financ. Res. Lett. 38, 101488 (2021).
    Google Scholar 
    Kasman, A. & Duman, Y. S. CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: A panel data analysis. Econ. Model. 44, 97–103 (2015).
    Google Scholar 
    Ali, S. et al. Impact of trade openness, human capital, public expenditure and institutional performance on unemployment: Evidence from OIC countries. Int. J. Manpower, (2021).Chen, F., Jiang, G. & Kitila, G. M. Trade openness and CO2 emissions: The heterogeneous and mediating effects for the belt and road countries. Sustainability 13(4), 1958 (2021).
    Google Scholar 
    Sun, H. et al. Nexus between environmental infrastructure and transnational cluster in one belt one road countries: Role of governance. Bus. Strategy Develop. 1(1), 17–30 (2018).
    Google Scholar 
    Jebli, M. B. & Youssef, S. B. The environmental Kuznets curve, economic growth, renewable and non-renewable energy, and trade in Tunisia. Renew. Sustain. Energy Rev. 47, 173–185 (2015).
    Google Scholar 
    Jebli, M. B., Youssef, S. B. & Ozturk, I. Testing environmental Kuznets curve hypothesis: The role of renewable and non-renewable energy consumption and trade in OECD countries. Ecol. Ind. 60, 824–831 (2016).
    Google Scholar 
    Shahbaz, M. et al. Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates. Ecol. Ind. 45, 622–631 (2014).CAS 

    Google Scholar 
    Xu, B. & Lin, B. How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models. Energy Econ. 48, 188–202 (2015).
    Google Scholar 
    Ertugrul, H. M. et al. The impact of trade openness on global carbon dioxide emissions: Evidence from the top ten emitters among developing countries. Ecol. Ind. 67, 543–555 (2016).
    Google Scholar 
    Najarzadeh, R. et al. Kyoto Protocol and global value chains: Trade effects of an international environmental policy. Environ. Develop. 40, 100659 (2021).
    Google Scholar 
    Liobikienė, G. & Butkus, M. Environmental Kuznets Curve of greenhouse gas emissions including technological progress and substitution effects. Energy 135, 237–248 (2017).
    Google Scholar 
    Liobikienė, G. The revised approaches to income inequality impact on production-based and consumption-based carbon dioxide emissions: Literature review. Environ. Sci. Pollut. Res. 27(9), 8980–8990 (2020).
    Google Scholar 
    Li, G., Zakari, A. & Tawiah, V. Energy resource melioration and CO2 emissions in China and Nigeria: Efficiency and trade perspectives. Resour. Policy 68, 101769 (2020).
    Google Scholar 
    Ali, M. U. et al. Fossil energy consumption, economic development, inward FDI impact on CO2 emissions in Pakistan: Testing EKC hypothesis through ARDL model. Int. J. Financ. Econ. 26(3), 3210–3221 (2021).
    Google Scholar 
    Özbuğday, F. C. & Erbas, B. C. How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis. Energy 82, 734–745 (2015).
    Google Scholar 
    Wang, Q., Chiu, Y.-H. & Chiu, C.-R. Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis. Energy Econ. 51, 252–260 (2015).
    Google Scholar 
    Dong, K. et al. Energy intensity and energy conservation potential in China: A regional comparison perspective. Energy 155, 782–795 (2018).
    Google Scholar 
    Tan, R. & Lin, B. What factors lead to the decline of energy intensity in China’s energy intensive industries?. Energy Econ. 71, 213–221 (2018).
    Google Scholar 
    Tariq, G. et al. Energy consumption and economic growth: Evidence from four developing countries. Am. J. Multidiscip. Res. 7(1), (2018).Sharif, A. et al. Revisiting the role of renewable and non-renewable energy consumption on Turkey’s ecological footprint: Evidence from quantile ARDL approach. Sustain. Cities Soc. 57, 102138 (2020).
    Google Scholar 
    Khan, I., Hou, F. & Le, H. P. The impact of natural resources, energy consumption, and population growth on environmental quality: Fresh evidence from the United States of America. Sci. Total Environ. 754, 142222 (2021).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Bölük, G. & Mert, M. Fossil & renewable energy consumption, GHGs (greenhouse gases) and economic growth: Evidence from a panel of EU (European Union) countries. Energy 74, 439–446 (2014).
    Google Scholar 
    Sugiawan, Y. & Managi, S. The environmental Kuznets curve in Indonesia: Exploring the potential of renewable energy. Energy Policy 98, 187–198 (2016).
    Google Scholar 
    Bölük, G. & Mert, M. The renewable energy, growth and environmental Kuznets curve in Turkey: An ARDL approach. Renew. Sustain. Energy Rev. 52, 587–595 (2015).
    Google Scholar 
    Sebri, M. & Ben-Salha, O. On the causal dynamics between economic growth, renewable energy consumption, CO2 emissions and trade openness: Fresh evidence from BRICS countries. Renew. Sustain. Energy Rev. 39, 14–23 (2014).
    Google Scholar 
    Tiwari, A. K. A structural VAR analysis of renewable energy consumption, real GDP and CO2 emissions: Evidence from India. Econ. Bull. 31(2), 1793–1806 (2011).
    Google Scholar 
    Apergis, N. & Payne, J. E. Renewable energy consumption and growth in Eurasia. Energy Econ. 32(6), 1392–1397 (2010).
    Google Scholar 
    Menyah, K. & Wolde-Rufael, Y. CO2 emissions, nuclear energy, renewable energy and economic growth in the US. Energy Policy 38(6), 2911–2915 (2010).CAS 

    Google Scholar 
    Fareed, Z. et al. Financial inclusion and the environmental deterioration in Eurozone: The moderating role of innovation activity. Technol. Soc. 69, 101961 (2022).
    Google Scholar 
    Adebayo, T. S. Renewable energy consumption and environmental sustainability in Canada: does political stability make a difference? Environ. Sci. Pollut. Res., 1–16 (2022).Shahbaz, M. et al. Does foreign direct investment impede environmental quality in high-, middle-, and low-income countries?. Energy Econ. 51, 275–287 (2015).
    Google Scholar 
    Tariq, G. et al. Trade liberalization, FDI inflows economic growth and environmental sustanaibility in Pakistan and India. J. Agric. Environ. Int. Develop. (JAEID) 112(2), 253–269 (2018).
    Google Scholar 
    Lee, J. W. The contribution of foreign direct investment to clean energy use, carbon emissions and economic growth. Energy Policy 55, 483–489 (2013).
    Google Scholar 
    Sun, H.-P. et al. Evaluating the environmental effects of economic openness: Evidence from SAARC countries. Environ. Sci. Pollut. Res. 26(24), 24542–24551 (2019).CAS 

    Google Scholar 
    Adebayo, T. S. Environmental consequences of fossil fuel in Spain amidst renewable energy consumption: a new insights from the wavelet-based Granger causality approach. Int. J. Sustain. Develop. World Ecol. 1–14 (2022).Adebayo, T. S. et al. Impact of tourist arrivals on environmental quality: A way towards environmental sustainability targets. Current Issues Tourism, 1–19 (2022).Akadiri, S.S. et al. Testing the role of economic complexity on the ecological footprint in China: A nonparametric causality-in-quantiles approach. Energy Environ. 0958305X221094573 (2022).Xie, Q. et al. Race to environmental sustainability: Can renewable energy consumption and technological innovation sustain the strides for China? Renew. Energy (2022).Du, L. et al. Asymmetric effects of high-tech industry and renewable energy on consumption-based carbon emissions in MINT countries. Renew. Energy 196, 1269–1280 (2022).CAS 

    Google Scholar 
    Al-Mulali, U. & Tang, C. F. Investigating the validity of pollution haven hypothesis in the gulf cooperation council (GCC) countries. Energy Policy 60, 813–819 (2013).
    Google Scholar 
    Jiang, Y. Foreign direct investment, pollution, and the environmental quality: A model with empirical evidence from the Chinese regions. Int. Trade J. 29(3), 212–227 (2015).
    Google Scholar 
    Ren, S. et al. International trade, FDI (foreign direct investment) and embodied CO2 emissions: A case study of Chinas industrial sectors. China Econ. Rev. 28, 123–134 (2014).
    Google Scholar 
    Tang, C. F. & Tan, B. W. The impact of energy consumption, income and foreign direct investment on carbon dioxide emissions in Vietnam. Energy 79, 447–454 (2015).
    Google Scholar 
    Omri, A. & Kahouli, B. Causal relationships between energy consumption, foreign direct investment and economic growth: Fresh evidence from dynamic simultaneous-equations models. Energy Policy 67, 913–922 (2014).
    Google Scholar 
    Dong, K.-Y. et al. A review of China’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool. Pet. Sci. 14(1), 214–227 (2017).
    Google Scholar 
    WDI, World Development Indicator. https://data.worldbank.org/, (2022).OECD, Organisation for Economic Co-operation and Development. https://data.oecd.org/, (2021).Levin, A., Lin, C.-F. & Chu, C.-S.J. Unit root tests in panel data: Asymptotic and finite-sample properties. J. Econom. 108(1), 1–24 (2002).MathSciNet 
    MATH 

    Google Scholar 
    Breitung, J. The local power of some unit root tests for panel data. (Emerald Group Publishing Limited, 2001).Im, K. S., Pesaran, M. H. & Shin, Y. Testing for unit roots in heterogeneous panels. J. Econom. 115(1), 53–74 (2003).MathSciNet 
    MATH 

    Google Scholar 
    Hlouskova, J. & Wagner, M. The performance of panel unit root and stationarity tests: Results from a large scale simulation study. Economet. Rev. 25(1), 85–116 (2006).MathSciNet 
    MATH 

    Google Scholar 
    Narayan, P. K. & Narayan, S. Carbon dioxide emissions and economic growth: Panel data evidence from developing countries. Energy Policy 38(1), 661–666 (2010).
    Google Scholar 
    Pedroni, P. Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bull. Econ. Stat. 61(S1), 653–670 (1999).
    Google Scholar 
    Pedroni, P. Panel cointegration: Asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Economet. Theor. 20(3), 597–625 (2004).MathSciNet 
    MATH 

    Google Scholar 
    Kao, C. Spurious regression and residual-based tests for cointegration in panel data. J. Econom. 90(1), 1–44 (1999).MathSciNet 
    MATH 

    Google Scholar 
    Breusch, T. S. & Pagan, A. R. The Lagrange multiplier test and its applications to model specification in econometrics. Rev. Econ. Stud. 47(1), 239–253 (1980).MathSciNet 
    MATH 

    Google Scholar 
    Baltagi, B. H. and Hashem Pesaran, M. Heterogeneity and cross section dependence in panel data models: Theory and applications introduction. 229–232 (Wiley Online Library, 2007).Levine, S. & Kendall, K. Energy efficiency and conservation: Opportunities, obstacles, and experiences. Vt. J. Envtl. L. 8, 101 (2006).
    Google Scholar 
    Stock, J. H. and Watson, M. W. A simple estimator of cointegrating vectors in higher order integrated systems. Econometrica: J. Econom. Soc. 783–820 (1993).Phillips, P.C. and Hansen, B.E. Estimation and inference in models of cointegration: A simulation study. (Cowles Foundation for Research in Economics, Yale University, 1988).Pedroni, P. Fully modified OLS for heterogeneous cointegrated panels, in Nonstationary panels, panel cointegration, and dynamic panels. (Emerald Group Publishing Limited, 2001).Kao, C. and Chiang, M.-H. On the estimation and inference of a cointegrated regression in panel data, in Nonstationary panels, panel cointegration, and dynamic panels. (Emerald Group Publishing Limited, 2001).Liobikienė, G. & Butkus, M. Scale, composition, and technique effects through which the economic growth, foreign direct investment, urbanization, and trade affect greenhouse gas emissions. Renew. Energy 132, 1310–1322 (2019).
    Google Scholar 
    Balsalobre-Lorente, D. et al. The environmental Kuznets curve, based on the economic complexity, and the pollution haven hypothesis in PIIGS countries. Renew. Energy 185, 1441–1455 (2022).CAS 

    Google Scholar 
    Sarkodie, S. A. & Adams, S. Renewable energy, nuclear energy, and environmental pollution: Accounting for political institutional quality in South Africa. Sci. Total Environ. 643, 1590–1601 (2018).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Mohamued, E. A. et al. Global oil price and innovation for sustainability: The impact of R&D spending, oil price and oil price volatility on GHG emissions. Energies 14(6), 1757 (2021).
    Google Scholar 
    Iqbal, N. et al. Does exports diversification and environmental innovation achieve carbon neutrality target of OECD economies?. J. Environ. Manage. 291, 112648 (2021).PubMed 

    Google Scholar 
    Edenhofer, O. et al. Renewable energy sources and climate change mitigation: Special report of the intergovernmental panel on climate change. (Cambridge University Press, 2011).Owusu, P. A. & Asumadu-Sarkodie, S. A review of renewable energy sources, sustainability issues and climate change mitigation. Cogent Eng. 3(1), 1167990 (2016).
    Google Scholar  More

  • in

    Holistic tool for ecosystem services and disservices assessment in the urban forests of the Real Bosco di Capodimonte, Naples

    Berghauser Pont, M. Y., Perg, P. G., Haupt, P. A. & Heyman, A. A systematic review of the scientifically demonstrated effects of densification. IOP Conf. Ser. Earth Environ. Sci. 588, 052031 (2020).
    Google Scholar 
    Cimburova, Z. & Berghauser Pont, M. Location matters: A systematic review of spatial contextual factors mediating ecosystem services of urban trees. Ecosyst. Serv. 50, 101296 (2021).
    Google Scholar 
    De Valck, J. et al. Valuing urban ecosystem services in sustainable brownfield redevelopment. Ecosyst. Serv. 35, 139–149 (2019).
    Google Scholar 
    Zuzolo, D. et al. Divide et disperda: Thirty years of fragmentation and impacts on the eco-mosaic in the case study of the metropolitan city of Naples. Land 10, 485 (2021).
    Google Scholar 
    Nelson, E. The Economics of Ecosystems and Biodiversity: Ecological and Economic Foundations , edited by Pushpam Kumar, London, Earthscan Publications, United Nations Environment Programme, 2010, xxxix + 410 pp., US$76.95 (hardback), ISBN 978-1-84971-212-5. J. Nat. Resour. Policy Res. 5, 68–70 (2013).
    Google Scholar 
    Duraiappah, A. K. et al. Millennium Ecosystem Assessment, 2005. Ecosystems and human well-being: Synthesis. World Resources Institute vol. 5 http://www.who.int/entity/globalchange/ecosystems/ecosys.pdf (2005).Cariñanos, P., Casares-Porcel, M. & Quesada-Rubio, J. M. Estimating the allergenic potential of urban green spaces: A case-study in Granada, Spain. Landsc. Urban Plan. 123, 134–144 (2014).
    Google Scholar 
    Haase, D. et al. A quantitative review of urban ecosystem service assessments: Concepts, models, and implementation. Ambio 43, 413–433 (2014).PubMed 
    PubMed Central 

    Google Scholar 
    Mexia, T. et al. Ecosystem services: Urban parks under a magnifying glass. Environ. Res. 160, 469–478 (2018).CAS 
    PubMed 

    Google Scholar 
    Brzoska, P., Grunewald, K. & Bastian, O. A multi-criteria analytical method to assess ecosystem services at urban site level, exemplified by two German city districts. Ecosyst. Serv. 49, 101268 (2021).
    Google Scholar 
    Zulian, G. et al. Practical application of spatial ecosystem service models to aid decision support. Ecosyst. Serv. 29, 465–480 (2018).PubMed 
    PubMed Central 

    Google Scholar 
    Balmford, A. et al. Ecology: Economic reasons for conserving wild nature. Science (80-). 297, 950–953 (2002).ADS 
    CAS 

    Google Scholar 
    Koulov, B., Ivanova, E., Borisova, B., Assenov, A. & Ravnachka, A. GIS-based valuation of ecosystem services in mountain regions: A case study of the Karlovo municipality in Bulgaria. One Ecosyst. 2, e14062 (2017).
    Google Scholar 
    Robertson, G. P. & Swinton, S. M. Reconciling agricultural productivity and environmental integrity: A grand challenge for agriculture. Front. Ecol. Environ. 3, 38–46 (2005).
    Google Scholar 
    Sandhu, H. S., Wratten, S. D., Cullen, R. & Case, B. The future of farming: The value of ecosystem services in conventional and organic arable land. An experimental approach. Ecol. Econ. 64, 835–848 (2008).
    Google Scholar 
    Berglihn, E. C. & Gómez-Baggethun, E. Ecosystem services from urban forests: The case of Oslomarka, Norway. Ecosyst. Serv. 51, 101358 (2021).
    Google Scholar 
    Nowak, D. J. Understanding i-Tree. (2020). https://doi.org/10.2737/NRS-GTR-200.Selvakumaran, S., Plank, S., Geiß, C., Rossi, C. & Middleton, C. Remote monitoring to predict bridge scour failure using Interferometric Synthetic Aperture Radar (InSAR) stacking techniques. Int. J. Appl. Earth Obs. Geoinf. 73, 463–470 (2018).ADS 

    Google Scholar 
    Gómez-Baggethun, E. & Barton, D. N. Classifying and valuing ecosystem services for urban planning. Ecol. Econ. 86, 235–245 (2013).
    Google Scholar 
    Gren, Å. & Andersson, E. Being efficient and green by rethinking the urban-rural divide—Combining urban expansion and food production by integrating an ecosystem service perspective into urban planning. Sustain. Cities Soc. 40, 75–82 (2018).
    Google Scholar 
    Grêt-Regamey, A., Celio, E., Klein, T. M. & Wissen Hayek, U. Understanding ecosystem services trade-offs with interactive procedural modeling for sustainable urban planning. Landsc. Urban Plan. 109, 107–116 (2013).
    Google Scholar 
    Bennett, E. M., Peterson, G. D. & Gordon, L. J. Understanding relationships among multiple ecosystem services. Ecol. Lett. 12, 1394–1404 (2009).PubMed 

    Google Scholar 
    Bradford, J. B. & D’Amato, A. W. Recognizing trade-offs in multi-objective land management. Front. Ecol. Environ. 10, 210–216 (2012).
    Google Scholar 
    Cueva, J. et al. Synergies and trade-offs in ecosystem services from urban and peri-urban forests and their implication to sustainable city design and planning. Sustain. Cities Soc. 82, 103903 (2022).
    Google Scholar 
    Allocca, V., Coda, S., Calcaterra, D. & De Vita, P. Groundwater rebound and flooding in the Naples’ periurban area (Italy). J. Flood Risk Manag. 15, e12775 (2022).
    Google Scholar 
    Padulano, R. et al. Using the present to estimate the future: A simplified approach for the quantification of climate change effects on urban flooding by scenario analysis. Hydrol. Process. 35, e14436 (2021).
    Google Scholar 
    D’Amato, G. et al. Allergenic pollen and pollen allergy in Europe. Allergy 62, 976–990 (2007).PubMed 

    Google Scholar 
    Prigioniero, A., Zuzolo, D., Sciarrillo, R. & Guarino, C. Assessing pollinosis risk in the Vesuvius National Park: A novel approach for Index of Urban Green Zones Allergenicity. Environ. Res. 197, 111063 (2021).CAS 
    PubMed 

    Google Scholar 
    AgCult 2020 Classifica visitatori 2019: Capodimonte rientra nella classifica dei primi 30 musei d’Italia.La Valva, V., Guarino, C., De Natale, A., Cuozzo, V., Menale, B. La flora del Parco di Capodimonte di Napoli. in 33–34: 143–177. (Delpinoa, 1992).Stevens, P. F. Angiosperm Phylogeny Website. 2001. http://www.mobot.org/MOBOT/research/APweb/. (2017).James Barth, B., Ian FitzGibbon, S. & Stuart Wilson, R. New urban developments that retain more remnant trees have greater bird diversity. Landsc. Urban Plan. 136, 122–129 (2015).
    Google Scholar 
    Heckmann, K. E., Manley, P. N. & Schlesinger, M. D. Ecological integrity of remnant montane forests along an urban gradient in the Sierra Nevada. For. Ecol. Manage. 255, 2453–2466 (2008).
    Google Scholar 
    Prigioniero, A. et al. Role of historic gardens in biodiversity-conservation strategy: the example of the Giardino Inglese of Reggia di Caserta (UNESCO) (Italy). Plant Biosyst. 155, 983–993 (2021).
    Google Scholar 
    Song, Q., Wang, B., Wang, J. & Niu, X. Endangered and endemic species increase forest conservation values of species diversity based on the Shannon-Wiener index. IForest 9, 469–474 (2016).
    Google Scholar 
    Hess, M. C. M., Mesléard, F. & Buisson, E. Priority effects: Emerging principles for invasive plant species management. Ecol. Eng. 127, 48–57 (2019).
    Google Scholar 
    Carli, E. et al. Using vegetation dynamics to face the challenge of the conservation status assessment in semi-natural habitats. Rend. Lincei. Sci. Fis. e Nat. 29, 363–374 (2018).
    Google Scholar 
    Canedoli, C. et al. Evaluation of ecosystem services in a protected mountain area: Soil organic carbon stock and biodiversity in alpine forests and grasslands. Ecosyst. Serv. 44, 101135 (2020).
    Google Scholar 
    FAO. Global Forest Resources Assessment 2010. Main report. (2010).Lindén, L., Riikonen, A., Setälä, H. & Yli-Pelkonen, V. Quantifying carbon stocks in urban parks under cold climate conditions. Urban For. Urban Green. 49, 126633 (2020).
    Google Scholar 
    Nowak, D. J., Hirabayashi, S., Bodine, A. & Greenfield, E. Tree and forest effects on air quality and human health in the United States. Environ. Pollut. 193, 119–129 (2014).CAS 
    PubMed 

    Google Scholar 
    Nowak, D. J., Crane, D. E. & Stevens, J. C. Air pollution removal by urban trees and shrubs in the United States. Urban For. Urban Green. 4, 115–123 (2006).
    Google Scholar 
    Nowak, D. J. & Crane, D. E. Carbon storage and sequestration by urban trees in the USA. Environ. Pollut. 116, 381–389 (2002).CAS 
    PubMed 

    Google Scholar 
    Kocić, K., Spasić, T., Urošević, M. A. & Tomašević, M. Trees as natural barriers against heavy metal pollution and their role in the protection of cultural heritage. J. Cult. Herit. 15, 227–233 (2014).
    Google Scholar 
    Yang, J., McBride, J., Zhou, J. & Sun, Z. The urban forest in Beijing and its role in air pollution reduction. Urban For. Urban Green. 3, 65–78 (2005).
    Google Scholar 
    Zupancic, T., Westmacott, C., Bulthuis, M. The impact of green space on heat and air pollution in urban communities: A meta-narrative systematic review (2015).Cariñanos, P., Adinolfi, C., Díaz de la Guardia, C., De Linares, C. & Casares-Porcel, M. Characterization of Allergen Emission Sources in Urban Areas. J. Environ. Qual. 45, 244–252 (2016).PubMed 

    Google Scholar 
    D’Auria, A., De Toro, P., Fierro, N. & Montone, E. Integration between GIS and multi-criteria analysis for ecosystem services assessment: A methodological proposal for the National Park of Cilento, Vallo di Diano and Alburni (Italy). Sustain 10, 3329 (2018).
    Google Scholar 
    Prigioniero, A., Zuzolo, D., Niinemets, Ü. & Guarino, C. Nature-based solutions as tools for air phytoremediation: A review of the current knowledge and gaps. Environ. Pollut. 277, 116817 (2021).CAS 
    PubMed 

    Google Scholar 
    Szkop, Z. Evaluating the sensitivity of the i-Tree Eco pollution model to different pollution data inputs: A case study from Warsaw, Poland. Urban For. Urban Green. 55, 126859 (2020).
    Google Scholar 
    Tao, J. et al. Elevation-dependent effects of growing season length on carbon sequestration in Xizang Plateau grassland. Ecol. Indic. 110, 105880 (2020).CAS 

    Google Scholar 
    Chen, Y. et al. Grassland carbon sequestration ability in China: A new perspective from Terrestrial Aridity Zones. Rangel. Ecol. Manag. 69, 84–94 (2016).
    Google Scholar 
    Gopalakrishnan, V., Hirabayashi, S., Ziv, G. & Bakshi, B. R. Air quality and human health impacts of grasslands and shrublands in the United States. Atmos. Environ. 182, 193–199 (2018).ADS 
    CAS 

    Google Scholar 
    Pace, R. et al. Comparing i-Tree eco estimates of particulate matter deposition with leaf and canopy measurements in an urban mediterranean Holm Oak Forest. Environ. Sci. Technol. 55, 6613–6622 (2021).ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Losos, J. B., Walton, B. M. & Bennett, A. F. Trade-offs between sprinting and clinging ability in Kenyan Chameleons. Funct. Ecol. 7, 281 (1993).
    Google Scholar 
    Pretzsch, H., Moser-Reischl, A., Rahman, M. A., Pauleit, S. & Rötzer, T. Towards sustainable management of the stock and ecosystem services of urban trees. From theory to model and application. Trees – Struct. Funct. (2021). https://doi.org/10.1007/s00468-021-02100-3.Grunewald, K. et al. Lessons learned from implementing the ecosystem services concept in urban planning. Ecosyst. Serv. 49, 101273 (2021).
    Google Scholar 
    Baldacchini, C., Sgrigna, G., Clarke, W., Tallis, M. & Calfapietra, C. An ultra-spatially resolved method to quali-quantitative monitor particulate matter in urban environment. Environ. Sci. Pollut. Res. 26, 18719–18729 (2019).CAS 

    Google Scholar 
    De Luca, P., Guarino, C., Gullo, G., La Valva V., 1992. Il Parco di Capodimonte di Napoli: storia ed attualità. in 33–34: 143–177. (Delpinoa, 1992).Pignatti, S. Flora d’Italia vol.2. (2017).Braun-Blanquet, J. Plant Sociology (McGraw-Hill Book Company, 1932).
    Google Scholar 
    Catorci, A. et al. Reproductive traits variation in the herb layer of a submediterranean deciduous forest landscape. Plant Ecol. 214, 737–749 (2013).
    Google Scholar 
    Šumrada, T. et al. Are result-based schemes a superior approach to the conservation of High Nature Value grasslands? Evidence from Slovenia. Land Use Policy 111, 105749 (2021).
    Google Scholar 
    POWO. Plants of the World Online. Facilitated by the Royal Botanic Gardens, Kew. Board of Trustees of the Royal Botanic Gardens, Kew http://www.plantsoftheworldonline.org/ (2022).Bímová, K., Mandák, B. & Kašparová, I. How does Reynoutria invasion fit the various theories of invasibility?. J. Veg. Sci. 15, 495–504 (2004).
    Google Scholar 
    Wild, J., Neuhäuslová, Z. & Sofron, J. Changes of plant species composition in the Šumava spruce forests, SW Bohemia, since the 1970s. For. Ecol. Manag. 187, 117–132 (2004).
    Google Scholar 
    Damato, G. & Lobefalo, G. Allergenic pollens in the southern Mediterranean area. J. Allergy Clin. Immunol. 83, 116–122 (1989).CAS 

    Google Scholar 
    Cariñanos, P. et al. Assessing allergenicity in urban parks: A nature-based solution to reduce the impact on public health. Environ. Res. 155, 219–227 (2017).PubMed 

    Google Scholar 
    Cariñanos, P. et al. Estimation of the allergenic potential of urban trees and urban parks: Towards the healthy design of urban green spaces of the future. Int. J. Environ. Res. Public Health 16, 1357 (2019).PubMed Central 

    Google Scholar  More