Philippa Kaur

Davidson, S. C. et al. Ecological insights from three decades of animal movement tracking across a changing arctic. Science 370, 712–715 (2020).ADS 
CAS 

Google Scholar 
Cohen, J. M., Lajeunesse, M. J. & Rohr, J. R. A global synthesis of animal phenological responses to climate change. Nat. Clim. Chang. 8, 224–228 (2018).ADS 

Google Scholar 
Both, C., Bouwhuis, S., Lessells, C. M. & Visser, M. E. Climate change and population declines in a long-distance migratory bird. Nature 441, 81–83 (2006).ADS 
CAS 

Google Scholar 
Studds, C. E. & Marra, P. P. Rainfall-induced changes in food availability modify the spring departure programme of a migratory bird. Proc. R. Sci. B. 278, 3437–3443 (2011).
Google Scholar 
González, A. M., Bayly, N. J. & Hobson, K. A. Earlier and slower or later and faster: spring migration pace linked to departure time in a Neotropical migrant songbird. J. Anim. Ecol. 89, 2840–2851 (2020).
Google Scholar 
Liedvogel, M., Åkesson, S. & Bensch, S. The genetics of migration on the move. Trends Ecol. Evol. 26, 561–569 (2011).
Google Scholar 
Caprioli, M. et al. Clock gene variation is associated with breeding phenology and maybe under directional selection in the migratory barn swallow. PLoS ONE 7, e35140 (2012).ADS 
CAS 

Google Scholar 
Mettler, R., Segelbacher, G. & Schaefer, M. H. Interactions between a candidate gene for migration (ADCYAP1), morphology and sex predict spring arrival in blackcap populations. PLoS ONE 10, e0144587 (2015).
Google Scholar 
Bazzi, G. et al. Clock gene polymorphism and scheduling of migration: a geolocator study of the barn swallow Hirundo rustica. Sci. Rep. 5, 12443 (2015).ADS 

Google Scholar 
Saino, N. et al. Polymorphism at the Clock gene predicts phenology of long-distance migratoin in birds. Mol. Ecol. 24, 1758–1773 (2015).CAS 

Google Scholar 
Bossu, C. M. et al. Clock-linked genes underlie seasonal migratory timing in a diurnal raptor. Proc. R. Soc. B. 289, 20212507 (2022).CAS 

Google Scholar 
O’Malley, K. G., Ford, M. J. & Hard, J. J. Clock polymorphism in Pacific salmon: evidence for variable selection along a latitudinal gradient. Proc. R. Soc. B. 277, 3703–3714 (2010).
Google Scholar 
Peterson, M. P. et al. Variation in candidate genes CLOCK and ADCYAP1 does not consistently predict differences in migratory behavior in the songbird genus Junco. F1000Research 2 (2013).McKinnon, E. A. & Ten Love, O. P. years tracking the migrations of small landbirds: Lessons learned in the golden age of bio-logging. Auk 135, 834–856 (2018).
Google Scholar 
Fraser, K. C. et al. Continent-wide tracking to determine migratory connectivity and tropical habitat associations of a declining aerial insectivore. Proc. R. Soc. B. 279, 4901–4906 (2012).
Google Scholar 
Neufeld, L. R. et al. Breeding latitude is associated with the timing of nesting and migration around the annual calendar among purple martin Progne subis populations. J. Ornithol. 162, 1009–1024 (2021).
Google Scholar 
Peona, V. et al. Identifying the causes and consequences of assembly gaps using a multiplatform genome assembly of a bird-of-paradise. Mol. Ecol. 21(1), 263–286 (2020).
Google Scholar 
Coelho, L. A., Musher, L. J. & Cracraft, J. A multireference-based whole genome assembly for the obligate ant-following antbird, Rhegmatorhina melanosticta (Thamnophilidae). Diversity 11(19), 144 (2019).CAS 

Google Scholar 
Zhou, X., Carbonetto, P. & Stephens, M. Polygenic modeling with Bayesian sparse linear mixed models. PLoS Genet. 9, e1003264 (2013).CAS 

Google Scholar 
Fuller, Z. L. et al. Population genetics of the coral Acropora millepora: Towards a genomic predictor of bleaching. Science 369(6501) (2019).Jones, S., Pfister-Genskow, M., Benca, R. M. & Cirelli, C. Molecular correlates of sleep and wakefulness in the brain of the white-crowned sparrow. J. Neurochem. 105, 46–62 (2008).CAS 

Google Scholar 
Ma, C. et al. Sleep regulation by neurotensinergic neurons in a thalamo-amygdala circuit. Neuron 103 (2019).Wong, J. M. & Eirin-Lopez, J. M. Evolution of methyltransferase-like (METTL) proteins in metazoan: a complex gene family involved in epitranscriptomic regulation and other epigenetic processes. Mol. Biol. Evol. 38, 5309–5327 (2021).CAS 

Google Scholar 
Jia, Z. et al. ACSS3 in brown fast drives propionate catabolism and its deficiency leads to autophagy and systemic metabolic dysfunction. Clin. Transl. Med. 12, e665 (2022).CAS 

Google Scholar 
Muller, F. et al. Towards a conceptual framework for explaining variation in nocturnal departure time of songbird migrants. Mov. Ecol. 4, 24 (2016).
Google Scholar 
Fraser, K. C. et al. Individual variability in migration timing can explain long-term population-level advances in a songbird. Front. Ecol. Evol. 7, 324 (2019).ADS 

Google Scholar 
Barret, R. D. H. & Schluter, D. Adaptation from standing genetic variation. Trends Ecol. Evol. 23(1), 38–44 (2008).
Google Scholar 
Colodro-Conde, L. et al. A direct test of the diathesis-stress model for depression. Mol. Psychiatry 23, 1590–1596 (2017).
Google Scholar 
Dudbridge, F. Power and predictive accuracy of polygenic risk scores. PLOS Genetics 9(4) (2013).Lavallée, C. D. et al. The use of nocturnal flights for barrier crossing in a diurnally migrating songbird. Mov. Ecol. 9, 21 (2021).
Google Scholar 
Saino, N. et al. Migration phenology and breeding success are predicted by methylation of a photoperiodic gene in the barn swallow. Sci. Rep. 7, 45412 (2017).ADS 
CAS 

Google Scholar 
Henry, R. A. et al. Changing the selectivity of p300 by acetyl-CoA modulation of histone acetylation. ACS Chem. Biol 10, 146–156 (2015).CAS 

Google Scholar 
Sun, H., Skorgerbø, G., Wang, Z., Liu, W. & Li, Y. Structural relationships between highly conserved elements and genes in vertebrate genomes. PLoS ONE 3, e3727 (2008).ADS 

Google Scholar 
Chin, C. S. et al. Phased diploid genome assembly with single-molecule real-time sequencing. Nat. Methods 13, 1050–1054 (2016).CAS 

Google Scholar 
Chin, C. S. et al. Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data. Nat. Methods 10, 563–569 (2013).CAS 

Google Scholar 
Koren, S. et al. Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation. Genome Res. 27, 722–736 (2017).CAS 

Google Scholar 
Walker, B. J. et al. Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS ONE 9, e112963 (2014).ADS 

Google Scholar 
Coombe, L. et al. ARKS: Chromosome-scale scaffolding of human genome drafts with linked read kmers. BMC Bioinform. 19, 1–10 (2018).
Google Scholar 
Campbell, M. S., Holt, C., Moore, B. & Yandell, M. Genome annotation and curation using MAKER and MAKER‐P. Curr. Protocols Bioinform. 48, 4.11.1–4.11.39 (2014).Malmberg, M. M. et al. Evaluation and recommendations for routine genotyping using skim whole genome re-sequencing in canola. Front. Plant. Sci. 9 (2018).Browning, B. L. & Browning, S. R. Genotype imputation with millions of reference samples. Am. J. Hum. Genet. 98, 116–126 (2016).CAS 

Google Scholar 
Golicz, A. A., Bayer, P. E. & Edwards, D. Skim-based genotyping by sequencing. Methods Mol. Biol. 1245, 257–270 (2015).CAS 

Google Scholar 
Hill, R. D. Theory of geolocation by light levels. In B. J. L. Boeuf, & R. M. Laws (Ed.), Elephant seals: Population ecology, behaviour and physiology, pp. 227–236. Berkeley, CA: University of California Press (1994).Wotherspoon, S., Summer, M. & Lisovski, S. BAStag: basic data processing for light based geolocation archival tags. Version 0.1.3. (2016).Lisovski, S. & Hahn, S. GeoLight-processing and anslysing light-based geolocator data in R. Methods Ecol. Evol. 3, 1055–1059 (2012).
Google Scholar 
Gompert, Z., Lucas, L. K., Nice, C. C. & Buerkle, C. A. Genome divergence and the genetic architecture of barriers to gene flow between Lycaeides idas and L. melissa. Evolution 67, 2498–2514 (2013).
Google Scholar 
Pfeifer, S. P. et al. The evolutionary history of Nebraska deer mice: local adaptation in the face of strong gene flow. Mol. Biol. Evol. 35, 792–806 (2018).CAS 

Google Scholar 
Purcell, S. et al. PLINK: a toolset for whole-genome association and population-based linkage analysis. Am. J. Hum. Genet. 81, 559–575 (2007).CAS 

Google Scholar 
Choi, S. W., Mak, T. S. & O’Reilly, P. F. Tutorial: a guide to performing polygenic risk score analysis. Nat Protoc 15, 2759–2772 (2020).CAS 

Google Scholar 
Danecek, P. et al. The variant call format and VCFtools. Bioinformatics 27, 2156–2158 (2011).CAS 

Google Scholar 
Cruickshank, T. E. & Hahn, M. W. Reanalysis suggests that genomic islands of speciation are due to reduced diversity, not reduced gene flow. Mol. Ecol. 23, 3133–3157 (2014).
Google Scholar 
Vijay, N. et al. Evolution of heterogeneous genome differentiation across multiple contact zones in a crow species complex. Nat. Commun. 7, 13195 (2016).ADS 
CAS 

Google Scholar 
Delmore, K. et al. The evolutionary history and genomics of European blackcap migration. eLife 9, e54462 (2020). More

The flightless dodo went extinct in the seventeenth century. Biotech company Colossal Biosciences plans to resurrect it.Credit: Hart, F/Bridgeman Images

A biotech company announced an audacious effort to ‘de-extinct’ the dodo last week. The flightless birds vanished from the island of Mauritius — in the Indian Ocean — in the late seventeenth century, and became emblematic of humanity’s negative impacts on the natural world. Could the plan actually work?Colossal Biosciences, based in Dallas, Texas, has landed US$225 million in investment (including funds from the celebrity Paris Hilton) — having previously announced plans to de-extinct thylacines, an Australian marsupial, and create elephants with woolly mammoth traits. But Colossal’s plans depend on huge advances in genome editing, stem-cell biology and animal husbandry, making success far from certain.“It’s incredibly exciting that there’s that kind of money available,” says Thomas Jensen, a cell and molecular reproductive physiologist at Wells College in Aurora, New York. “I’m not sure that the end goal they’re going for is something that’s super feasible in the near future.”Iridescent pigeonsColossal’s plan starts with the dodo’s closest living relative, the iridescent-feathered Nicobar pigeon (Caloenas nicobarica). The company plans to isolate and culture specialized primordial germ cells (PGCs) — which make sperm and egg-producing cells — from developing Nicobars. Colossal’s scientists would edit DNA sequences in the PGCs to match those of dodos using tools such as CRISPR. These gene-edited PGCs would then be inserted into embryos from a surrogate bird species to generate chimeric — those with DNA from both species — animals that make dodo-like egg and sperm. These could potentially produce something resembling a dodo (Raphus cucullatus).To gene-edit Nicobar pigeon PGCs, scientists first need to identify the conditions that allow these cells to flourish in the laboratory, says Jae Yong Han, an avian-reproduction scientist at Seoul National University. Researchers have done this with chickens, but it will take time to identify the appropriate culture conditions that suit other birds’ PGCs.A greater challenge will be determining the genetic changes that could transform Nicobar pigeons into Dodos. A team including Beth Shapiro, a palaeogeneticist at the University of California, Santa Cruz, who is advising Colossal on the dodo project, has sequenced the dodo genome but has not yet published the results. Dodos and Nicobar pigeons shared a common ancestor that lived around 30 million to 50 million years ago, Shapiro’s team reported in 20161. By comparing the nuclear genomes of the two birds, the researchers hope to identify most of the DNA changes that distinguish between them.Insights from ratsTom Gilbert, an evolutionary biologist at the University of Copenhagen, who also advises Colossal, expects the dodo genome to be of high quality — it comes from a museum sample he provided to Shapiro. But he says that finding all the DNA differences between the two birds is not possible. Ancient genomes are cobbled together from short sequences of degraded DNA, and so are filled with unavoidable gaps and errors. And research he published last year comparing the genome of the extinct Christmas Island rat (Rattus macleari) with that of the Norwegian brown rat (Rattus norvegicus)2 suggests that gaps in the dodo genome could lie in the very DNA regions that have changed the most since its lineage split from that of Nicobar pigeons.Even if researchers could identify every genetic difference, introducing the thousands of changes to PGCs would not be simple. “I’m not sure it’s feasible in the near future,” says Jensen, whose team is encountering difficulties making a single genetic change to the genomes of quail.Focusing on only a subset of DNA changes, such as those that alter protein sequences, could slash the number of edits needed. But it’s still not clear that this would yield anything resembling a wild dodo, says Gilbert. “My worry is that Paris Hilton thinks she’s going to get a dodo that looks like a dodo,” he says.A further problem will be the need to find a large bird, such as an emu (Dromaius novaehollandiae), that can act as the surrogate, says Jensen. “Dodo eggs are much, much larger than Nicobar pigeon eggs, you couldn’t grow a dodo inside of a Nicobar egg.”Chicken embryos are fairly receptive to PGCs from other birds, and Jensen’s team has created chimeric chickens that can produce quail sperm — efforts to generate eggs have failed so far. But he thinks it will be far more challenging to transfer PGCs — particularly heavily gene-edited ones — from one wild bird into another.Conservation boon?Colossal chief executive Ben Lamm acknowledges these hurdles, but argues they aren’t dealbreakers. Work towards dodo de-extinction will help with conservation efforts for other birds, he adds. “It will bring a lot of new technologies to the field of bird conservation,” agrees Jensen.Vikash Tatayah, conservation director at the Mauritian Wildlife Foundation in Vacoas-Phoenix, is also enthusiastic about the attention dodo de-extinction could bring to conservation. “It’s something we would like to embrace,” he says.But he points out that the predators that threatened the dodo in the seventeeth century haven’t gone away, whereas most of its habitat has. “You do have to ask,” he says, “if we could have such money, wouldn’t it be better spent on restoring habitat on Mauritius and preventing species from going extinct?” More

Literature search and screeningOur analysis included a systematic literature search and was conducted by following the PRISMA protocol55 (Supplementary Fig. 7). We searched through Web of Science and China National Knowledge Infrastructure (CNKI) platforms by using keywords listed in Supplementary Table 3. A total of 3299 potentially relevant articles were found (Mandarin and English). The availability of peer-reviewed datasets associated with these published articles11,15,56,57,58,59 and online databases (The Sustainable Wetlands Adaptation and Mitigation Program (SWAMP) database, https://www2.cifor.org/swamp) were also considered. We then removed a significant number of articles through title screening, leaving 551 articles for further inspection.For these remaining articles, we used a four-step critique process to screen their title, abstract, and full text. We determined that firstly, they must provide carbon density data for at least one of the four mangrove carbon pools (i.e., aboveground biomass, belowground biomass, sediment organic carbon, or total ecosystem carbon). Secondly, articles needed to state the forest age or the starting date of the restoration action. For those studies providing only age intervals (e.g., 10–25 years, >66 years), we excluded them from the analysis. Thirdly, a description of prior land use was required. From these, mangrove restoration could be divided into two categories—reforestation and afforestation—on whether mangroves previously existed in that location. For reforestation, the initial conditions for inclusion were: (1) abandoned agricultural/aquacultural sites built previously by excavating mangrove forests, (2) clear-felled mangrove lands after wars, timber harvest, and silvicultural management, and (3) mangrove forests with mortality due to spraying of defoliants and hydrological alteration caused by the construction of embankments. We compared the carbon densities of reforested mangroves among sites with different causes of degradation/deforestation, and no significant difference is found (Supplementary Fig. 9). For those reforested mangroves, we assumed they would be protected and conserved by local governments and non-government organizations, so that there will not be human-driven degradation or deforestation in the near future. However, we acknowledge that a fraction of mangrove reforestation is managed for wood production, which means logging would happen at a certain interval after reforestation at these sites. For these logging sites, we used their reported measurements after clear-cut, such as 0-, 5-, 10-, 15-, and 25-year post-harvest sites in Sundarbans, Bangladesh60. On the other hand, the future occurrence of natural-driven deforestation (e.g., cyclones) is difficult to predict, and thus not considered in our study. For afforestation, the initial condition for inclusion was the presence of non-mangrove habitat immediately before afforestation began, such as mudflats, seagrass, saltmarsh, coral reef, or denuded areas. In most cases, reforestation and afforestation were undertaken through active planting without much re-engineering4, but for reforestation, natural regeneration could have, and in many places likely did, augment recruitment61. Moreover, we only considered mangrove succession that started from near-barren land with an insignificant amount of biomass, and introductions of exotic species to degraded areas with sparse trees were not incorporated. Lastly, if the forest age or prior land use type was not given, the articles needed to specify the location of sampling plots (latitude, longitude). With the coordinates matching, prior land use type and establishment dates were sometimes identifiable through remote sensing (Supplementary Fig. 10). For those articles sharing the same restoration sites but showing different aspects of the data collection, we combined the results and considered the collective work as one source. Based on the space-for-time method, data in the control sites before mangrove restoration actions were also collected as a paired site of restoration (e.g., abandoned ponds before mangrove reforestation; mudflats before mangrove afforestation). In total, we obtained data from 379 mangrove restoration sites described by 106 articles.Data extractionWe extracted aboveground living biomass carbon (AGC), belowground living biomass carbon (BGC), sediment carbon (SCS), and total ecosystem carbon (TECS) density from the 106 original data sources. In most cases, numeric values were provided. For those data not provided numerically but graphed, we determined values from figures with the application of GetData Graph Digitizer (http://getdata-graph-digitizer.com/).Among the articles, aboveground and belowground biomass (Mg ha−1) data were obtained using either a harvesting method (empirical) or an allometric method (calculation). Aboveground biomass represented the sum of stem, leaf, and branch dry weight, and we included prop root biomass when Rhizophora spp. were present. For soil coring methods that determined belowground biomass or sediment carbon density, belowground biomass was considered the dry weight of living coarse and fine roots multiplied by the ratio of core area to land surface area62. For allometric methods, trunk diameter at breast height (DBH, ~1.3 m) and tree height were used to calculate aboveground and belowground biomass by species-specific or common allometric equations63. These equations were also used to calculate the belowground biomass when articles provided plot information (DBH, height) but not belowground biomass (Supplementary Table 4). Total biomass was calculated as the sum of aboveground and belowground biomass. Deadwood and pneumatophore biomass were not included in our analysis; these data are rarely provided and/or methods of determination are inconsistent among global studies64. Some articles provided total biomass and shoot/root biomass ratio (S/R), and in such cases, above- and belowground biomass data were obtained through calculation as follows:$${{{{{rm{Aboveground}}}}}},{{{{{rm{biomass}}}}}}={{{{{rm{Total}}}}}},{{{{{rm{biomass}}}}}}times frac{frac{S}{R}}{frac{S}{R}+1}$$
(1)
$${{{{{rm{Belowground}}}}}},{{{{{rm{biomass}}}}}}={{{{{rm{Total}}}}}},{{{{{rm{biomass}}}}}}times frac{1}{frac{S}{R}+1}$$
(2)
For those articles measuring carbon content, study-specific carbon conversion factors were used to transform biomass to biomass carbon density (Mg C ha−1). If carbon content data were not provided, we converted aboveground and belowground biomass to carbon density by applying a conversion of 0.47 and 0.39, respectively65. The aboveground biomass carbon density was divided by its corresponding age to get the average aboveground biomass carbon accumulation rate (Mg C ha−1 yr−1).For sediment carbon density (SCS, Mg C ha−1), we selected the top 1 m because this depth equated to the most commonly reported depth and could reflect the impact of root mass input in the deeper depth66, which is also consistent with recent blue carbon standing stock assessment guidance64,67. Sediment carbon stock was calculated by multiplying sediment organic carbon content (SOC, %) by bulk density (BD, g cm−3), integrated over depth (cm). For studies that reported sediment carbon stock to More

Wilson, E. O. The Insect Societies (Oxford University Press, 1971).
Google Scholar 
Beshers, S. N. & Fewell, J. H. Models of division of labor in social insects. Annu. Rev. Entomol. 46, 413–440 (2001).CAS 

Google Scholar 
Seeley, T. D. Adaptive significance of the age polyethism schedule in honeybee colonies. Behav. Ecol. Sociobiol. 4, 287–293 (1982).
Google Scholar 
Tallamy, D. W. Insect parental care. Bioscience 34, 20–24. https://doi.org/10.2307/1309421 (1984).Article 

Google Scholar 
Queller, D. C. Extended parental care and the origin of eusociality. Proc. R. Soc. Lond. Ser. B: Biol. Sci. 256, 105–111. https://doi.org/10.1098/rspb.1994.0056 (1994).Article 
ADS 

Google Scholar 
Bigley, W. S. & Vinson, S. B. Characterization of a brood pheromone isolated from the sexual brood of the imported fire ant, Solenopsis invicta 1,2. Ann. Entomol. Soc. Am. 68, 301–304 (1975).CAS 

Google Scholar 
Endler, A. et al. Surface hydrocarbons of queen eggs regulate worker reproduction in a social insect. Proc. Natl. Acad. Sci. USA 101, 2945–2950. https://doi.org/10.1073/pnas.0308447101 (2004).Article 
ADS 
CAS 

Google Scholar 
Maisonnasse, A., Lenoir, J. C., Beslay, D., Crauser, D. & Le Conte, Y. E-beta-ocimene, a volatile brood pheromone involved in social regulation in the honey bee colony (Apis mellifera). PLoS ONE 5, e13531. https://doi.org/10.1371/journal.pone.0013531 (2010).Article 
ADS 
CAS 

Google Scholar 
Schultner, E., Oettler, J. & Helantera, H. The role of brood in eusocial hymenoptera. Q. Rev. Biol. 92, 39–78. https://doi.org/10.1086/690840 (2017).Article 

Google Scholar 
Amdam, G. V., Hartfelder, K., Norberg, K., Hagen, A. & Omholt, S. W. Altered physiology in worker honey bees (Hymenoptera: Apidae) infested with the mite Varroa destructor (Acari: Varroidae): A factor in colony loss during overwintering? J. Econ. Entomol. 97, 741–747 (2004).
Google Scholar 
Calabi, P. & Traniello, J. F. Behavioral flexibility in age castes of the ant Pheidole dentata. J. Insect Behav. 2, 663–677 (1989).
Google Scholar 
Gordon, D. W. Dynamics of task switching in harvester ants. Anim. Behav. 38, 194–204 (1989).
Google Scholar 
Robinson, G. E. Regulation of division of labor in insect societies. Annu. Rev. Entomol. 37, 637–665. https://doi.org/10.1146/annurev.en.37.010192.003225 (1992).Article 
CAS 

Google Scholar 
Robinson, E. J., Feinerman, O. & Franks, N. R. Flexible task allocation and the organization of work in ants. Proc. R. Soc. B: Biol. Sci. 276, 4373–4380 (2009).
Google Scholar 
Nijhout, H. F. & Wheeler, D. E. Juvenile-hormone and the physiological-basis of Insect polymorphisms. Q. Rev. Biol. 57, 109–133. https://doi.org/10.1086/412671 (1982).Article 
CAS 

Google Scholar 
Herb, B. R. et al. Reversible switching between epigenetic states in honeybee behavioral subcastes. Nat. Neurosci. 15, 1371–1373. https://doi.org/10.1038/nn.3218 (2012).Article 
CAS 

Google Scholar 
Kensuke, N. Age polyethism, idiosyncrasy and behavioural flexibility in the queenless ponerine ant, Diacamma sp. J. Ethol. 13, 113–123 (1995).
Google Scholar 
Kensuke, N. Does behavioral flexibility compensate or constrain colony productivity? Relationship among age structure, labor allocation, and production of workers in ant colonies. J. Insect Behav. 9, 557–569 (1996).
Google Scholar 
Shimoji, H., Kasutani, N., Ogawa, S. & Hojo, M. K. Worker propensity affects flexible task reversion in an ant. Behav. Ecol. 74, 1–8 (2020).
Google Scholar 
Bernadou, A., Busch, J. & Heinze, J. Diversity in identity: Behavioral flexibility, dominance, and age polyethism in a clonal ant. Behav. Ecol. Sociobiol. 69, 1365–1375 (2015).
Google Scholar 
Kohlmeier, P., Feldmeyer, B. & Foitzik, S. Vitellogenin-like A—Associated shifts in social cue responsiveness regulate behavioral task specialization in an ant. PLoS Biol. 16, e2005747 (2018).
Google Scholar 
Tripet, F. & Nonacs, P. Foraging for work and age-based polyethism: The roles of age and previous experience on task choice in ants. Ethology 110, 863–877 (2004).
Google Scholar 
Kohlmeier, P., Alleman, A. R., Libbrecht, R., Foitzik, S. & Feldmeyer, B. Gene expression is more strongly associated with behavioural specialisation than with age or fertility in ant workers. Mol. Ecol. https://doi.org/10.1111/mec.14971 (2018).Article 

Google Scholar 
Levenbook, L. & Bauer, A. C. The fate of the larval storage protein calliphorin during adult development of Calliphora vicina. Insect Biochem. 14, 77–86 (1984).CAS 

Google Scholar 
Zhou, X., Oi, F. M. & Scharf, M. E. Social exploitation of hexamerin: RNAi reveals a major caste-regulatory factor in termites. Proc. Natl. Acad. Sci. 103, 4499–4504 (2006).ADS 
CAS 

Google Scholar 
Zhou, X., Tarver, M. R., Bennett, G., Oi, F. & Scharf, M. Two hexamerin genes from the termite Reticulitermes flavipes: Sequence, expression, and proposed functions in caste regulation. Gene 376, 47–58 (2006).CAS 

Google Scholar 
Hawkings, C., Calkins, T. L., Pietrantonio, P. V. & Tamborindeguy, C. Caste-based differential transcriptional expression of hexamerins in response to a juvenile hormone analog in the red imported fire ant (Solenopsis invicta). PLoS ONE 14, e0216800 (2019).CAS 

Google Scholar 
Hoffman, E. A. & Goodisman, M. A. Gene expression and the evolution of phenotypic diversity in social wasps. BMC Biol. 5, 1–9 (2007).
Google Scholar 
Hunt, J. H., Buck, N. A. & Wheeler, D. E. Storage proteins in vespid wasps: Characterization, developmental pattern, and occurrence in adults. J. Insect Physiol. 49, 785–794 (2003).CAS 

Google Scholar 
Colgan, T. J. et al. Polyphenism in social insects: Insights from a transcriptome-wide analysis of gene expression in the life stages of the key pollinator, Bombus terrestris. BMC Genom. 12, 1–20 (2011).
Google Scholar 
Cremer, S., Armitage, S. A. & Schmid-Hempel, P. Social immunity. Curr. Biol. 17, R693–R702 (2007).CAS 

Google Scholar 
Cremer, S., Pull, C. D. & Fuerst, M. A. Social immunity: Emergence and evolution of colony-level disease protection. Annu. Rev. Entomol. 63, 105–123 (2018).CAS 

Google Scholar 
Danihlík, J., Aronstein, K. & Petřivalský, M. Antimicrobial peptides: A key component of honey bee innate immunity: Physiology, biochemistry, and chemical ecology. J. Apic. Res. 54, 123–136 (2015).
Google Scholar 
Koch, S. I. et al. Caste-specific expression patterns of immune response and chemosensory related genes in the leaf-cutting ant, Atta vollenweideri. PLoS ONE 8, e81518 (2013).ADS 

Google Scholar 
Chardonnet, F. et al. Food searching behaviour of a Lepidoptera pest species is modulated by the foraging gene polymorphism. J. Exp. Biol. 217, 3465–3473 (2014).
Google Scholar 
Scheiner, R., Page, R. E. Jr. & Erber, J. Responsiveness to sucrose affects tactile and olfactory learning in preforaging honey bees of two genetic strains. Behav. Brain Res. 120, 67–73 (2001).CAS 

Google Scholar 
Wang, Z. et al. Visual pattern memory requires foraging function in the central complex of Drosophila. Learn. Mem. 15, 133–142 (2008).
Google Scholar 
Zhou, Y., Lei, Y., Lu, L. & He, Y. Temperature-and food-dependent foraging gene expression in foragers of the red imported fire ant Solenopsis invicta Buren (Hymenoptera: Formicidae). Physiol. Entomol. 45, 1–6 (2020).
Google Scholar 
Ingram, K. K. et al. Context-dependent expression of the foraging gene in field colonies of ants: The interacting roles of age, environment and task. Proc. R. Soc. B: Biol. Sci. 283, 20160841 (2016).
Google Scholar 
Ingram, K. K., Oefner, P. & Gordon, D. M. Task-specific expression of the foraging gene in harvester ants. Mol. Ecol. 14, 813–818 (2005).CAS 

Google Scholar 
Lucas, C. & Sokolowski, M. B. Molecular basis for changes in behavioral state in ant social behaviors. Proc. Natl. Acad. Sci. 106, 6351–6356 (2009).ADS 
CAS 

Google Scholar 
Ben-Shahar, Y. The foraging gene, behavioral plasticity, and honeybee division of labor. J. Comp. Physiol. A. 191, 987–994 (2005).CAS 

Google Scholar 
Daugherty, T., Toth, A. & Robinson, G. Nutrition and division of labor: Effects on foraging and brain gene expression in the paper wasp Polistes metricus. Mol. Ecol. 20, 5337–5347 (2011).CAS 

Google Scholar 
Morrison, L. W., Porter, S. D., Daniels, E. & Korzukhin, M. D. Potential global range expansion of the invasive fire ant, Solenopsis invicta. Biol. Invasions 6, 183–191 (2004).
Google Scholar 
Valles, S. M., Wetterer, J. K. & Porter, S. D. The red imported fire ant (Hymenoptera: Formicidae) in the West Indies: Distribution of natural enemies and a possible test bed for release of self-sustaining biocontrol agents. Fls. Entomol. 98, 1101–1105 (2015).
Google Scholar 
Greenberg, L., Vinson, S. & Ellison, S. Nine-year study of a field containing both monogyne and polygyne red imported fire ants (Hymenoptera: Formicidae). Ann. Entomol. Soc. Am. 85, 686–695 (1992).
Google Scholar 
Keller, L. & Ross, K. G. Selfish genes: A green beard in the red fire ant. Nature 394, 573–575 (1998).ADS 
CAS 

Google Scholar 
Vinson, S. B. Impact of the invasion of the imported fire ant. Insect Sci. 20, 439–455 (2013).
Google Scholar 
Tschinkel, W. R. The Fire Ants (Harvard University Press, 2006).
Google Scholar 
Cassill, D. L. & Tschinkel, W. R. Task selection by workers of the fire ant Solenopsis invicta. Behav. Ecol. Sociobiol. 45, 301–310 (1999).
Google Scholar 
Mirenda, J. T. & Vinson, S. B. Division of labour and specification of castes in the red imported fire ant Solenopsis invicta Buren. Anim. Behav. 29, 410–420 (1981).
Google Scholar 
Wilson, E. O. Division of labor in fire ants based on physical castes (Hymenoptera: Formicidae: Solenopsis). J. Kansas Entomol. Soc. 51, 615–636 (1978).
Google Scholar 
Sorensen, A., Busch, T. M. & Vinson, S. B. Behavioral flexibility of temporal subcastes in the fire ant, Solenopsis invicta in response to food. Psyche 91, 319–331 (1984).
Google Scholar 
Bigley, W. S. & Vinson, S. B. Characterization of a brood pheromone isolated from the sexual brood of the imported fire ant, Solenopsis invicta. Ann. Entomol. Soc. Am. 2, 301–304 (1975).
Google Scholar 
Bajracharya, P., Lu, H. L. & Pietrantonio, P. V. The red imported fire ant (Solenopsis invicta Buren) kept Y not F: Predicted sNPY endogenous ligands deorphanize the short NPF (sNPF) receptor. PLoS ONE 9(10), e109590 (2014).ADS 

Google Scholar 
Castillo, P. Short neuropeptide F receptor in the worker brain of the red imported fire ant (Solenopsis invicta Buren) and methodology for RNA interference M.S. thesis, Texas A&M University (2015).Castillo, P. & Pietrantonio, P. V. Differences in sNPF receptor-expressing neurons in brains of fire ant (Solenopsis invicta Buren) worker subcastes: Indicators for division of labor and nutritional status? PLoS ONE 8, e83966 (2013).ADS 

Google Scholar 
Cassill, D. L. & Tschinkel, W. R. Allocation of liquid food to larvae via trophallaxis in colonies of the fire ant, Solenopsis invicta. Anim. Behav. 3, 801–813 (1995).
Google Scholar 
Cassill, D. L., Stuy, A. & Buck, R. G. Emergent properties of food distribution among fire ant larvae. J. Theor. Biol. 3, 371–381 (1998).ADS 

Google Scholar 
Dussutour, A. & Simpson, S. J. Communal nutrition in ants. Curr. Biol. 19, 740–744. https://doi.org/10.1016/j.cub.2009.03.015 (2009).Article 
CAS 

Google Scholar 
Petralia, R. S. & Vinson, S. B. Feeding in the larvae of the imported fire ant, Solenopsis invicta: Behavior and morphological adaptations. Ann. Entomol. Soc. Am. 71, 643–648 (1978).
Google Scholar 
Petralia, R. S. & Vinson, S. B. Developmental morphology of larvae and eggs of the imported fire ant, Solenopsis invicta. Ann. Entomol. Soc. Am. 72, 472–484 (1979).
Google Scholar 
Chen, J. Advancement on techniques for the separation and maintenance of the red imported fire ant colonies. Insect Sci. 14, 1–4 (2007).
Google Scholar 
Banks, W. A. et al. (Agricultural Research (Southern Region), Science and Education…, 1981).Valles, S. M. & Porter, S. D. Identification of polygyne and monogyne fire ant colonies (Solenopsis invicta) by multiplex PCR of Gp-9 alleles. Insectes Soc. 2, 199–200 (2003).
Google Scholar 
Schmittgen, T. D. & Livak, K. J. Analyzing real-time PCR data by the comparative CT method. Nat. Protoc. 3, 1101 (2008).CAS 

Google Scholar 
Cheng, D., Zhang, Z., He, X. & Liang, G. Validation of reference genes in Solenopsis invicta in different developmental stages, castes and tissues. PLoS ONE 8, e57718. https://doi.org/10.1371/journal.pone.0057718 (2013).Article 
ADS 
CAS 

Google Scholar 
Qiu, H.-L., Zhao, C.-Y. & He, Y.-R. On the molecular basis of division of labor in Solenopsis invicta (Hymenoptera: Formicidae) workers: RNA-seq analysis. J. Insect Sci. 17, 48 (2017).
Google Scholar 
Chen, J. et al. Role of the foraging gene in worker behavioral transition in the red imported fire ant, Solenopsis invicta (Hymenoptera: Formicidae). Pest Manag. Sci. https://doi.org/10.1002/ps.6921 (2022).Article 

Google Scholar 
Shorter, J. R. & Tibbetts, E. A. The effect of juvenile hormone on temporal polyethism in the paper wasp Polistes dominulus. Insectes Soc. 56, 7–13 (2009).
Google Scholar 
Pankiw, T., Page, R. E. Jr. & Kim Fondrk, M. Brood pheromone stimulates pollen foraging in honey bees (Apis mellifera). Behav. Ecol. Sociobiol. 44, 193–198. https://doi.org/10.1007/s002650050531 (1998).Article 

Google Scholar 
Smedal, B., Brynem, M., Kreibich, C. D. & Amdam, G. V. Brood pheromone suppresses physiology of extreme longevity in honeybees (Apis mellifera). J. Exp. Biol. 212, 3795–3801. https://doi.org/10.1242/jeb.035063 (2009).Article 
CAS 

Google Scholar 
Solis, C. R. & Strassmann, J. E. Presence of brood affects caste differentiation in the social wasp, Polistes exclamans Viereck (Hymenoptera, Vespidae). Funct. Ecol. 4, 531–541. https://doi.org/10.2307/2389321 (1990).Article 

Google Scholar 
Traynor, K. S. Decoding Brood Pheromone: The Releaser and Primer Effects of Young and Old Larvae on Honey Bee (Apis mellifera) Workers (Arizona State University, 2014).
Google Scholar 
Wagoner, K. M., Spivak, M. & Rueppell, O. Brood affects hygienic behavior in the honey bee (Hymenoptera: Apidae). J. Econ. Entomol. 111, 2520–2530. https://doi.org/10.1093/jee/toy266 (2018).Article 
CAS 

Google Scholar 
Nijhout, H. F. & Wheeler, D. E. Juvenile hormone and the physiological basis of insect polymorphisms. Q. Rev. Biol. 57, 109–133 (1982).CAS 

Google Scholar  More

Pimentel, D., Zuniga, R. & Morrison, D. Update on the environmental and economic costs associated with alien-invasive species in the United States. Ecol. Econ. https://doi.org/10.1016/j.ecolecon.2004.10.002 (2005).Article 

Google Scholar 
Linders, T. E. W. et al. Direct and indirect effects of invasive species: Biodiversity loss is a major mechanism by which an invasive tree affects ecosystem functioning. J. Ecol. https://doi.org/10.1111/1365-2745.13268 (2019).Article 

Google Scholar 
Campbell, F. T. The science of risk assessment for phytosanitary regulation and the impact of changing trade regulations. Bioscience https://doi.org/10.1641/0006-3568(2001)051[0148:TSORAF]2.0.CO;2 (2001).Article 

Google Scholar 
Paini, D. R. et al. Global threat to agriculture from invasive species. Proc. Natl. Acad. Sci. U. S. A. https://doi.org/10.1073/pnas.1602205113 (2016).Article 

Google Scholar 
Westphal, M. I., Browne, M., MacKinnon, K. & Noble, I. The link between international trade and the global distribution of invasive alien species. Biol. Invasions https://doi.org/10.1007/s10530-007-9138-5 (2008).Article 

Google Scholar 
Hennessey, M. et al. Phytosanitary Treatments. In The Handbook of Plant Biosecurity (eds Gordh, G. & Mckirdy, S.) 269–308 (Springer, Dordrecht, 2014).
Google Scholar 
Melvin Couey, H. & Chew, V. Confidence limits and sample size in quarantine research. J. Econ. Entomol. 79, 887–890 (1986).
Google Scholar 
Schortemeyer, M. et al. Appropriateness of probit-9 in the development of quarantine treatments for timber and timber commodities. J. Econ. Entomol. 104, 717–731 (2011).CAS 

Google Scholar 
Haack, R. A., Uzunovic, A., Hoover, K. & Cook, J. A. Seeking alternatives to probit 9 when developing treatments for wood packaging materials under ISPM No. 15. EPPO Bull. 41, 39–45 (2011).
Google Scholar 
Liqudio, N. J., Griffin, R. L. & Vick, K. W. Quarantine security for commodities: current approaches and potential strategies. In Proceedings of Joint Workshops of the Agricultural Research Service and the Animal and Plant Health Inspection Service, June 5–9 and July 31 -August 5, 1995 56 (1997).Follett, P. A. Phytosanitary irradiation for fresh horticultural commodities: Generic treatments, current issues, and next steps. Stewart Postharvest Rev. 3, 1–7 (2014).MathSciNet 

Google Scholar 
Hallman, G. J. & Loaharanu, P. Generic ionizing radiation quarantine treatments against fruit flies (Diptera: Tephritidae) proposed. J. Econ. Entomol. 95, 893–901 (2002).
Google Scholar 
Follett, P. A. & Armstrong, J. W. Revised irradiation doses to control melon fly, mediterranean fruit fly, and oriental fruit fly (Diptera: Tephritidae) and a generic dose for tephritid fruit flies. J. Econ. Entomol. 97, 1254–1262 (2004).
Google Scholar 
Follett, P. A. & Snook, K. Irradiation for quarantine control of the invasive light brown apple moth (Lepidoptera: Tortricidae) and a generic dose for tortricid eggs and larvae. J. Econ. Entomol. 105, 1971–1978 (2013).
Google Scholar 
Hallman, G. J., Arthur, V., Blackburn, C. M. & Parker, A. G. The case for a generic phytosanitary irradiation dose of 250Gy for Lepidoptera eggs and larvae. Radiat. Phys. Chem. 89, 70–75 (2013).ADS 
CAS 

Google Scholar 
Hallman, G. J. Generic phytosanitary irradiation dose of 300 Gy proposed for the Insecta excluding pupal and adult Lepidoptera. Florida Entomol. 99, 206–210 (2016).
Google Scholar 
IPPC. ISPM 28. Annex 39. Irradiation treatment for the genus Anastrepha. 1–6 (2021).IPPC. ISPM 28. Annex 7. Irradiation Treatment for fruit flies of the family Tephritidae (generic). 1–6 (2021).Posthuma, L., Suter, G. W. & Traas, T. P. Species sensitivity distributions in ecotoxicology. Species sensitivity distributions in ecotoxicology (CRC Press, 2002). https://doi.org/10.1201/9781420032314.Book 

Google Scholar 
Newman, M. C. et al. Applying species-sensitivity distributions in ecological risk assessment: Assumptions of distribution type and sufficient numbers of species. Environ. Toxicol. Chem. 19, 508–515 (2000).CAS 

Google Scholar 
van Straalen, N. M. & van Leeuwen, C. J. European history of species sensitivity distributions. In Species Sensitivity Distributions in Ecotoxicology 43–60 (CRC Press, 2001). Doi:https://doi.org/10.1201/9781420032314.ch3.ANZECC & ARMCANZ. Australian and New Zealand guidelines for fresh and marine water quality. aquatic ecosystems. Aust. New Zeal. Environ. Conserv. Counc. Agric. Resour. Manag. Counc. Aust. New Zeal. 1–103 (2000).Aldenberg, T. & Jaworska, J. S. Uncertainty of the hazardous concentration and fraction affected for normal species sensitivity distributions. Ecotoxicol. Environ. Saf. 46, 1–18 (2000).CAS 

Google Scholar 
Hallman, G. J. Generic phytosanitary irradiation treatment for “true weevils” (Coleoptera: Curculionidae) infesting fresh commodities. Florida Entomol. 99, 197–201 (2016).
Google Scholar 
Follett, P. A. Irradiation for quarantine control of coffee berry borer, hypothenemus hampei (coleoptera: Curculionidae: Scolytinae) in coffee and a proposed generic dose for snout beetles (coleoptera: Curculionoidea). J. Econ. Entomol. 111, 1633–1637 (2018).CAS 

Google Scholar 
Earle, N. W., Simmons, L. A. & Nilakhe, S. S. Laboratory studies of sterility and competitiveness of boll weevils irradiated in an atmosphere of nitrogen, carbon dioxide, or air. J. Econ. Entomol. 72, 687–691 (1979).
Google Scholar 
Follett, P. A., McQuate, G. T., Sylva, C. D. & Swedman, A. Sensitivity of the quarantine pest rough Sweetpotato weevil, Blosyrus asellus to postharvest irradiation treatment. Proc. Hawaiian Entomol. Soc. 48, 23–27 (2016).
Google Scholar 
Hallman, G. J. Ionizing irradiation quarantine treatment against plum curculio (Coleoptera: Curculionidae). J. Econ. Entomol. 96, 1399–1404 (2003).
Google Scholar 
Jacklin, S. W., Richardson, E. C. & Yonce, C. E. Substerilizing doses of gamma irradiation to produce population suppression in plum curculio1. J. Econ. Entomol. 63, 1053–1057 (1970).
Google Scholar 
Yoshida, T., Fukami, J. I., Fukunaga, K. & Matsuyama, A. Control of harmful insects in timbers by irradiation: doses required for sterilization and inhibition of emergence of the minute pine bark beetle, Cryphalus fulvus. Jpn. J. Appl. Entomol. Zool. 18, 52–58 (1974).
Google Scholar 
Follett, P. A. Irradiation as a methyl bromide alternative for postharvest control of Omphisa anastomosalis (Lepidoptera: Pyralidae) and euscepes postfasciatus and cylas formicarius elegantulus (Coleoptera: Curculionidae) in sweet potatoes. J. Econ. Entomol. 99, 32–37 (2006).
Google Scholar 
Gould, W. P. & Hallman, G. J. Irradiation disinfestation of diaprepes root weevil (Coleoptera: Curculionidae) and papaya fruit fly (Diptera: Tephritidae). Florida Entomol. 87, 391–392 (2004).
Google Scholar 
van Haandel, A. et al. Tolerance of Hylurgus ligniperda (F.) (Coleoptera: Scolytinae) and Arhopalus ferus (Mulsant) (Coleoptera: Cerambycidae) to ionising radiation: a comparison with existing generic radiation phytosanitary treatments. New Zeal. J. For. Sci. 47, 1–9 (2017).Burgess, E. E. & Bennett, S. E. Sterilization of the male alfalfa weevil (Hypera postica: Curculionidae) by X-Radiation. J. Econ. Entomol. 59, 268–270 (1966).
Google Scholar 
Wood, D. L. & Stark, R. W. The effects of gamma radiation on the biology and behavior of adult ips confusus (LeConte) (Coleoptera: Scolytidae). Can. Entomol. 98, 1–10 (1966).
Google Scholar 
Wang, X. et al. Effect of X-ray (9 MeV) irradiation on the development and propagation of Ips sexdentatus. Plant Quar. 25, 28–31 (2011).
Google Scholar 
Zhan, G. et al. Effect of irradiation on development and propagation of larch bark beetle (Coleoptera: Scolytoidea). J. Nucl. Agric. Sci. 25, 1200–1205 (2011).
Google Scholar 
Gerstle, C. & Sazo, L. Efecto de las radiaciones de Cesio 137 sobre la fertilidad de hembras de Naupactus xanthographus (Germar) (Coleoptera: Curculionidae). Cienc. e Investig. Agrar. 16, 69–73 (1989).
Google Scholar 
Manoto, E. C., Obra, G. B., Reyes, M. R. & Resilva, S. S. Irradiation as a quarantine treatment for ornamentals. IAEA-Tecdoc 1082, 81–91 (1999).
Google Scholar 
Duvenhage, A. J. & Johnson, S. A. The potential of irradiation as a postharvest disinfestation treatment against phlyctinus callosus (Coleoptera: Curculionidae). J. Econ. Entomol. 107, 154–160 (2014).CAS 

Google Scholar 
Jaynes, A. & Godwin, P. A. Sterilization of the white-pine weevil with gamma radiation. J. Econ. Entomol. 50, 393–395 (1957).CAS 

Google Scholar 
Aldryhim, Y. N. & Adam, E. E. Efficacy of gamma irradiation against Sitophilus granarius (L.) (Coleoptera: Curculionidae). J. Stored Prod. Res. 35, 225–232 (1999).
Google Scholar 
Follett, P. A. et al. Irradiation quarantine treatment for control of Sitophilus oryzae (Coleoptera: Curculionidae) in rice. J. Stored Prod. Res. 52, 63–67 (2013).
Google Scholar 
Hu, T., Chen, C. C. & Peng, W. K. Lethal effect of gamma irradiation on Sitophilus zeamais (Coleoptera: Curculionidae). Formos. Entomol. 23, 145–150 (2003).
Google Scholar 
Arthur, V. & Wiendl, F. M. Comportamento e competitividade sexual de adultos de Sphenophorus levis Vaurie, 1978 (col., Curculionidae), uma praga da cana-de-açucar, irradiados com radiações gama do cobaldo-60. Brazilian J. Agric. 68, 57–66 (1993).
Google Scholar 
Obra, G. B., Resilva, S. S., Follett, P. A. & Lorenzana, L. R. J. Large-scale confirmatory tests of a phytosanitary irradiation treatment against Sternochetus frigidus (Coleoptera: Curculionidae) in Philippine mango. J. Econ. Entomol. 107, 161–165 (2014).
Google Scholar 
Seo, S. T. et al. Mango weevil: Cobalt-60 γ-irradiation of packaged mangoes. J. Econ. Entomol. 67, 504–505 (1974).
Google Scholar 
Yoshida, T., Fukami, J. I., Fukunaga, K. & Matsuyama, A. Effects of gamma radiation on Xyleborus perforans (Wollaston) pupae and adults. J. Pestic. Sci. 2, 413–420 (1977).
Google Scholar 
Yoshida, T., Fukami, J. I., Fukunaga, K. & Matsuyama, A. Control of the harmful insects in timbers by irradiation: Doses required for kill, sterilization and inhibition of emergence in three species of ambrosia beetles (Xyleborini) in Japan. Jpn. J. Appl. Entomol. Zool. 19, 193–202 (1975).
Google Scholar 
Follett, P. A. & McQuate, G. T. Accelerated development of quarantine treatments for insects on poor hosts. J. Econ. Entomol. https://doi.org/10.1603/0022-0493-94.5.1005 (2001).Article 

Google Scholar 
Plazzi, F., Ferrucci, R. R. & Passamonti, M. Phylogenetic representativeness: A new method for evaluating taxon sampling in evolutionary studies. BMC Bioinform. 11, 1–15 (2010).
Google Scholar 
Moore, D. R. J., Priest, C. D., Galic, N., Brain, R. A. & Rodney, S. I. Correcting for phylogenetic autocorrelation in species sensitivity distributions. Integr. Environ. Assess. Manag. 16, (2020).Carr, G. J. & Belanger, S. E. SSDs revisited: Part I—A framework for sample size guidance on species sensitivity distribution analysis. Environ. Toxicol. Chem. 38, 1514–1525 (2019).CAS 

Google Scholar 
Wheeler, J. R., Grist, E. P. M., Leung, K. M. Y., Morritt, D. & Crane, M. Species sensitivity distributions: Data and model choice. Mar. Pollut. Bull. 45, 192–202 (2002).CAS 

Google Scholar 
Duboudin, C., Ciffroy, P. & Magaud, H. Acute-to-chronic species sensitivity distribution extrapolation. Environ. Toxicol. Chem. 23, 1774–1785 (2004).CAS 

Google Scholar 
Esteves, S. M. et al. Can we predict diatoms herbicide sensitivities with phylogeny? Influence of intraspecific and interspecific variability. Ecotoxicology 26, 1065–1077 (2017).CAS 

Google Scholar 
Hiki, K. & Iwasaki, Y. Can we reasonably predict chronic species sensitivity distributions from acute species sensitivity distributions?. Environ. Sci. Technol. 54, 13131–13136 (2020).ADS 
CAS 

Google Scholar 
Baird, D. J. & Van den Brink, P. J. Using biological traits to predict species sensitivity to toxic substances. Ecotoxicol. Environ. Saf. 67, 296–301 (2007).CAS 

Google Scholar 
Guénard, G., von der Ohe, P. C., Walker, S. C., Lek, S. & Legendre, P. Using phylogenetic information and chemical properties to predict species tolerances to pesticides. Proc. R. Soc. B Biol. Sci. 281, 1–9 (2014).
Google Scholar 
Larras, F., Keck, F., Montuelle, B., Rimet, F. & Bouchez, A. Linking diatom sensitivity to herbicides to phylogeny: A step forward for biomonitoring?. Environ. Sci. Technol. 48, 1921–1930 (2014).ADS 
CAS 

Google Scholar 
Hayashi, T. I. & Kashiwagi, N. A bayesian method for deriving species-sensitivity distributions: Selecting the best-fit tolerance distributions of taxonomic groups. Hum. Ecol. Risk Assess. 16, 251–263 (2010).CAS 

Google Scholar 
Xu, F. L. et al. Key issues for the development and application of the species sensitivity distribution (SSD) model for ecological risk assessment. Ecol. Indic. 54, 227–237 (2015).CAS 

Google Scholar 
Dowse, R., Tang, D., Palmer, C. G. & Kefford, B. J. Risk assessment using the species sensitivity distribution method: Data quality versus data quantity. Environ. Toxicol. Chem. 32, 1360–1369 (2013).CAS 

Google Scholar 
Dias, V. S. et al. Relative tolerance of three morphotypes of the anastrepha fraterculus complex (Diptera: Tephritidae) to cold phytosanitary Treatment. J. Econ. Entomol. 113, 1176–1182 (2020).CAS 

Google Scholar 
Myers, S. W., Cancio-Martinez, E., Hallman, G. J., Fontenot, E. A. & Vreysen, M. J. B. Relative tolerance of six Bactrocera (Diptera: Tephritidae) species to phytosanitary cold treatment. J. Econ. Entomol. 109, 2341–2347 (2016).
Google Scholar 
Gazit, Y., Akiva, R. & Gavriel, S. Cold tolerance of the Mediterranean fruit fly in date and mandarin. J. Econ. Entomol. 107, 1745–1750 (2014).
Google Scholar 
Zhao, J. et al. Gamma radiation as a phytosanitary treatment against larvae and pupae of Bactrocera dorsalis (Diptera: Tephritidae) in guava fruits. Food Control 72, 360–366 (2017).
Google Scholar 
Thorley, J. & Schwarz, C. ssdtools: An R package to fit Species sensitivity distributions. J. Open Sour. Softw. 3, 1–2 (2018).
Google Scholar 
Burnham, K. P. & Anderson, D. R. Model Selection and Multimodel Inference: A Practical Information-Theoritic Approach 2nd edn. (Springer, 2002). https://doi.org/10.1007/978-0-387-22456-5_7.Book 
MATH 

Google Scholar 
Mazucheli, J., Menezes, A. F. B. & Nadarajah, S. mle.tools: An R package for maximum likelihood bias correction. R. J. 9, 268–290 (2017).
Google Scholar 
Cox, D. R. & Snell, E. J. A general definition of residuals. J. R. Stat. Soc. Ser. B 30, 248–265 (1968).MathSciNet 
MATH 

Google Scholar 
Follett, P. A. Irradiation as a quarantine treatment for mango seed weevil (Coleoptera: Curculionidae). Proc. Hawaii. Entomol. Soc. 35, 95–100 (2001).
Google Scholar  More

Martin-Roberts, E. et al. Carbon capture and storage at the end of a lost decade. One Earth 4, 1569–1584 (2021).Article 
ADS 

Google Scholar 
Liu, Z. et al. Challenges and opportunities for carbon neutrality in China. Nat. Rev. Earth Environ. 3, 141–155 (2022).Article 
ADS 

Google Scholar 
Wang, F. et al. Technologies and perspectives for achieving carbon neutrality. Innovation 2, 100180 (2021).CAS 

Google Scholar 
Third National Communication of Climate Change in the People’s Republic of China (Ministry of Ecology and Environment of the People’s Republic of China, 2018).Chen, X. et al. Producing more grain with lower environmental costs. Nature 514, 486–489 (2014).Article 
ADS 
CAS 

Google Scholar 
Cui, Z. et al. Pursuing sustainable productivity with millions of smallholder farmers. Nature 555, 363–366 (2018).Article 
ADS 
CAS 

Google Scholar 
Liu, B. et al. Promoting potato as staple food can reduce the carbon–land–water impacts of crops in China. Nat. Food 2, 570–577 (2021).Article 

Google Scholar 
Jiang, Y. et al. Water management to mitigate the global warming potential of rice systems: a global meta-analysis. Field Crops Res. 234, 47–54 (2019).Article 

Google Scholar 
Shang, Z. et al. Can cropland management practices lower net greenhouse emissions without compromising yield? Glob. Change Biol. 27, 4657–4670 (2021).Article 
CAS 

Google Scholar 
Xia, L. et al. Can knowledge-based N management produce more staple grain with lower greenhouse gas emission and reactive nitrogen pollution? A meta-analysis. Glob. Change Biol. 23, 1917–1925 (2016).Article 
ADS 

Google Scholar 
Ju, X. et al. Reducing environmental risk by improving N management in intensive Chinese agricultural systems. Proc. Natl Acad. Sci. USA 106, 3041–3046 (2009).Article 
ADS 
CAS 

Google Scholar 
Wang, B. et al. Four pathways towards carbon neutrality by controlling net greenhouse gas emissions in Chinese cropland. Resour. Conserv. Recycl. 186, 106576 (2022).Article 
CAS 

Google Scholar 
Xia, L. et al. Trade-offs between soil carbon sequestration and reactive nitrogen losses under straw return in global agroecosystems. Glob. Change Biol. 12, 5919–5932 (2018).Article 

Google Scholar 
Zhao, Y. et al. Economics- and policy-driven organic carbon input enhancement dominates soil organic carbon accumulation in Chinese croplands. Proc. Natl Acad. Sci. USA 115, 4045–4050 (2018).Article 
ADS 
CAS 

Google Scholar 
Yan, X., Akiyama, H., Yagi, K. & Akimoto, H. Global estimations of the inventory and mitigation potential of methane emissions from rice cultivation conducted using the 2006 Intergovernmental Panel on Climate Change guidelines. Glob. Biogeochemical Cycles 23, GB2002 (2009).Jiang, Y. et al. Acclimation of methane emissions from rice paddy fields to straw addition. Sci. Adv. 5, eaau9038 (2019).Article 
ADS 

Google Scholar 
Chen, Z. et al. Microbial process-oriented understanding of stimulation of soil N2O emission following the input of organic materials. Environ. Pollut. 284, 117176 (2021).Article 
CAS 

Google Scholar 
Lugato, E., Leip, A. & Jones, A. Mitigation potential of soil carbon management overestimated by neglecting N2O emissions. Nat. Clim. Change 8, 219–223 (2018).Article 
ADS 
CAS 

Google Scholar 
Xia, L., Wang, S. & Yan, X. Effects of long-term straw incorporation on the net global warming potential and the net economic benefit in a rice-wheat cropping system in China. Agric. Ecosyst. Environ. 197, 118–127 (2014).Article 

Google Scholar 
Xia, L., Ti, C., Li, B., Xia, Y. & Yan, X. Greenhouse gas emissions and reactive nitrogen releases during the life-cycles of staple food production in China and their mitigation potential. Sci. Total Environ. 556, 116–125 (2016).Article 
ADS 
CAS 

Google Scholar 
Yang, Y. et al. Restoring abandoned farmland to mitigate climate change on a full Earth. One Earth 3, 176–186 (2020).Article 
ADS 

Google Scholar 
Lehmann, J. et al. Biochar in climate change mitigation. Nat. Geosci. 14, 883–892 (2021).Article 
ADS 
CAS 

Google Scholar 
Woolf, D., Amonette, J. E., Street-Perrott, F. A., Lehmann, J. & Joseph, S. Sustainable biochar to mitigate global climate change. Nat. Commun. 1, 56 (2010).Article 
ADS 

Google Scholar 
Jeffery, S., Verheijen, F. G., Kammann, C. & Abalos, D. Biochar effects on methane emissions from soils: a meta-analysis. Soil Biol. Biochem. 101, 251–258 (2016).Article 
CAS 

Google Scholar 
Schmidt, H. P. et al. Biochar in agriculture – a systematic review of 26 global meta-analyses. GCB Bioenergy 13, 1708–1730 (2021).Article 
CAS 

Google Scholar 
Cayuela, M. L. et al. Biochar and denitrification in soils: when, how much and why does biochar reduce N2O emissions? Sci. Rep. 3, 1732 (2013).Article 

Google Scholar 
He, Y. et al. Effects of biochar application on soil greenhouse gas fluxes: a meta-analysis. GCB Bioenergy 9, 743–755 (2017).Article 
CAS 

Google Scholar 
Liu, Q. et al. Biochar application as a tool to decrease soil nitrogen losses (NH3 volatilization, N2O emissions, and N leaching) from croplands: options and mitigation strength in a global perspective. Glob. Change Biol. 25, 2077–2093 (2019).Article 
ADS 

Google Scholar 
He, X. et al. Effects of pyrolysis temperature on the physicochemical properties of gas and biochar obtained from pyrolysis of crop residues. Energy 143, 746–756 (2018).Article 
CAS 

Google Scholar 
Yang, Q. et al. Prospective contributions of biomass pyrolysis to China’s 2050 carbon reduction and renewable energy goals. Nat. Commun. 12, 1698 (2021).Article 
ADS 
CAS 

Google Scholar 
Smith, P. et al. Biophysical and economic limits to negative CO2 emissions. Nat. Clim. Change 6, 42–50 (2016).Article 
ADS 
CAS 

Google Scholar 
IPCC Special Report on Global Warming of 1.5 °C (eds Masson-Delmotte, V. et al.) (WMO, 2018).Ritchie, H., Roser, M. & Rosado, P. CO2 and Greenhouse Gas Emissions (Our World in Data, 2020); https://ourworldindata.org/co2-and-other-greenhouse-gas-emissionsLiu, Y. et al. A quantitative review of the effects of biochar application on rice yield and nitrogen use efficiency in paddy fields: a meta-analysis. Sci. Total Environ. 830, 154792 (2022).Article 
ADS 
CAS 

Google Scholar 
Cassman, K. G. & Grassini, P. A global perspective on sustainable intensification research. Nat. Sustain. 3, 262–268 (2020).Article 

Google Scholar 
Gu, B. et al. Abating ammonia is more cost-effective than nitrogen oxides for mitigating PM2.5 air pollution. Science 374, 758–762 (2021).Article 
ADS 
CAS 

Google Scholar 
Yang, Y., Reilly, E. C., Jungers, J. M., Chen, J. & Smith, T. M. Climate benefits of increasing plant diversity in perennial bioenergy crops. One Earth 1, 434–445 (2019).Article 
ADS 

Google Scholar 
Weller, S. et al. Methane and nitrous oxide emissions from rice and maize production in diversified rice cropping systems. Nutr. Cycling Agroecosyst. 101, 37–53 (2015).Article 
CAS 

Google Scholar 
Rogelj, J. et al. Scenarios towards limiting global mean temperature increase below 1.5 °C. Nat. Clim. Change 8, 325–332 (2018).Article 
ADS 
CAS 

Google Scholar 
Gu, B., Zhang, X., Bai, X., Fu, B. & Chen, D. Four steps to food security for swelling cities. Nature 566, 31–33 (2019).Article 
ADS 
CAS 

Google Scholar 
Zhang, X. et al. Managing nitrogen for sustainable development. Nature 528, 51–59 (2015).Article 
ADS 
CAS 

Google Scholar 
Gu, B., Ju, X., Chang, J., Ge, Y. & Vitousek, P. M. Integrated reactive nitrogen budgets and future trends in China. Proc. Natl Acad. Sci. USA 112, 8792–8797 (2015).Article 
ADS 
CAS 

Google Scholar 
Galloway, J. N. et al. Transformation of the nitrogen cycle: recent trends, questions, and potential solutions. Science 320, 889–892 (2008).Article 
ADS 
CAS 

Google Scholar 
Lee, X. J., Ong, H. C., Gan, Y. Y., Chen, W. H. & Mahlia, T. M. I. State of art review on conventional and advanced pyrolysis of macroalgae and microalgae for biochar, bio-oil and bio-syngas production. Energy Convers. Manag. 210, 112707 (2020).Article 
CAS 

Google Scholar 
Nevzorova, T. & Kutcherov, V. Barriers to the wider implementation of biogas as a source of energy: a state-of-the-art review. Energy Strategy Rev. 26, 100414 (2019).Article 

Google Scholar 
Xia, S. et al. Pyrolysis behavior and economics analysis of the biomass pyrolytic polygeneration of forest farming waste. Bioresource Technol. 270, 189–197 (2018).Article 
CAS 

Google Scholar 
Liu, Z., Niu, W., Chu, H., Zhou, T. & Niu, Z. Effect of the carbonization temperature on the properties of biochar produced from the pyrolysis of crop residues. BioResources 13, 3429–3446 (2018).Article 
CAS 

Google Scholar 
Hengeveld, E. J., Bekkering, J., van Gemert, W. J. T. & Broekhuis, A. A. Biogas infrastructures from farm to regional scale, prospects of biogas transport grids. Biomass Bioenergy 86, 43–52 (2016).Article 

Google Scholar 
Ansari, S. H. et al. Incorporation of solar-thermal energy into a gasification process to co-produce bio-fertilizer and power. Environ. Pollut. 266, 115103 (2020).Article 
CAS 

Google Scholar 
Yang, S. I., Wu, M. S. & Hsu, T. C. Spray combustion characteristics of kerosene/bio-oil part I: experimental study. Energy 119, 26–36 (2017).Article 
CAS 

Google Scholar 
Xia, L. et al. Elevated CO2 negates O3 impacts on terrestrial carbon and nitrogen cycles. One Earth 4, 1752–1763 (2022).Article 
ADS 

Google Scholar 
Gu, B. et al. Atmospheric reactive nitrogen in China: sources, recent trends, and damage costs. Environ. Sci. Technol. 46, 9420–9427 (2012).Article 
ADS 
CAS 

Google Scholar 
Xia, L. et al. Greenhouse gas emissions and reactive nitrogen releases from rice production with simultaneous incorporation of wheat straw and nitrogen fertilizer. Biogeosciences 13, 4569–4579 (2016).Article 
ADS 
CAS 

Google Scholar  More

Guichard, F., Levin, S. A., Hastings, A. & Siegel, D. Toward a dynamic metacommunity approach to marine reserve theory. BioScience 54(11), 1003. https://doi.org/10.1641/0006-3568(2004)054[1003:tadmat]2.0.co;2 (2004).Article 

Google Scholar 
Wieters, E. A., Gaines, S. D., Navarrete, S. A., Blanchette, C. A. & Menge, B. A. Scales of dispersal and the biogeography of marine predator-prey interactions. Am. Nat. 171(3), 405–417. https://doi.org/10.1086/527492 (2008).Article 

Google Scholar 
Martínez-Moreno, J. et al. Global changes in oceanic mesoscale currents over the satellite altimetry record. Nat. Clim. Changehttps://doi.org/10.1038/s41558-021-01006-9 (2021).Article 

Google Scholar 
van Gennip, S. J. et al. Going with the flow: The role of ocean circulation in global marine ecosystems under a changing climate. Glob. Change Biol. 23(7), 2602–2617. https://doi.org/10.1111/gcb.13586 (2017).Article 
ADS 

Google Scholar 
O’Connor, M. I. et al. Temperature control of larval dispersal and the implications for marine ecology, evolution, and conservation. Proc. Natl. Acad. Sci. U.S.A. 104(4), 1266–1271. https://doi.org/10.1073/pnas.0603422104 (2007).Article 
ADS 
CAS 

Google Scholar 
Cowen, R. K. & Sponaugle, S. Larval dispersal and marine population connectivity. Ann. Rev. Mar. Sci. 1(1), 443–466. https://doi.org/10.1146/annurev.marine.010908.163757 (2009).Article 

Google Scholar 
Ospina-Alvarez, A., Parada, C. & Palomera, I. Vertical migration effects on the dispersion and recruitment of European anchovy larvae: From spawning to nursery areas. Ecol. Model. 231, 65–79. https://doi.org/10.1016/j.ecolmodel.2012.02.001 (2012).Article 

Google Scholar 
Selkoe, K. A. & Toonen, R. J. Marine connectivity: A new look at pelagic larval duration and genetic metrics of dispersal. Mar. Ecol. Prog. Ser. 436, 291–305. https://doi.org/10.3354/meps09238 (2011).Article 
ADS 

Google Scholar 
Siegel, D. A. et al. The stochastic nature of larval connectivity among nearshore marine populations. Proc. Natl. Acad. Sci. U.S.A. 105(26), 8974–8979. https://doi.org/10.1073/pnas.0802544105 (2008).Article 
ADS 

Google Scholar 
De Lestang, S. et al. What caused seven consecutive years of low puerulus settlement in the western rock lobster fishery of Western Australia?. ICES J. Mar. Sci. 72, i49–i58. https://doi.org/10.1093/icesjms/fsu177 (2015).Article 

Google Scholar 
Linnane, A. et al. Evidence of large-scale spatial declines in recruitment patterns of southern rock lobster Jasus edwardsii, across south-eastern Australia. Fish. Res. 105(3), 163–171. https://doi.org/10.1016/j.fishres.2010.04.001 (2010).Article 

Google Scholar 
Briones-Fourzán, P., Candela, J. & Lozano-Álvarez, E. Postlarval settlement of the spiny lobster Panulirus argus along the Caribbean coast of Mexico: Patterns, influence of physical factors, and possible sources of origin. Limnol. Oceanogr. 53(3), 970–985. https://doi.org/10.4319/lo.2008.53.3.0970 (2008).Article 
ADS 

Google Scholar 
Haury, L. R., McGowan, J. A. & Wiebe, P. H. Patterns and processes in the time-space scales of plankton distributions. In Spatial Pattern in Plankton Communities (ed. Steele, J. H.) 277–327 (Springer US, 1978). https://doi.org/10.1007/978-1-4899-2195-6_12.Cowen, R. K., Paris, C. B. & Srinivasan, A. Scaling of connectivity in marine populations. Science 311(5760), 522–527. https://doi.org/10.1126/science.1122039 (2006).Article 
ADS 
CAS 

Google Scholar 
Kavanaugh, M. T. et al. Seascapes as a new vernacular for pelagic ocean monitoring, management and conservation. ICES J. Mar. Sci. 73(7), 1839–1850. https://doi.org/10.1093/icesjms/fsw086 (2016).Article 

Google Scholar 
Ospina-Alvarez, A., Weidberg, N., Aiken, C. M. & Navarrete, S. A. Larval transport in the upwelling ecosystem of central Chile: The effects of vertical migration, developmental time and coastal topography on recruitment. Prog. Oceanogr. 168, 82–99. https://doi.org/10.1016/j.pocean.2018.09.016 (2018) http://www.sciencedirect.com/science/article/pii/S0079661117300800.Article 
ADS 

Google Scholar 
Palumbi, S. Population genetics, demographic connectivity, and the design of marine reserves. Ecol. Appl. 13(1 Supplement), S146–S158 (2003).Article 

Google Scholar 
Barahona, M. et al. Environmental and demographic factors influence the spatial genetic structure of an intertidal barnacle in central-northern Chile. Mar. Ecol. Prog. Ser. 612, 151–165. https://doi.org/10.3354/meps12855 (2019) http://www.int-res.com/abstracts/meps/v612/p151-165/.Article 
ADS 

Google Scholar 
Spanier, E. et al. A concise review of lobster utilization by worldwide human populations from prehistory to the modern era. ICES J. Mar. Sci. 72(May), i7–i21. https://doi.org/10.1093/icesjms/fsv066 (2015).Article 

Google Scholar 
IUCN. Palinurus elephas: Goñi, R.: The IUCN Red List of Threatened Species 2014: e.T169975A1281221. Tech. Rep., International Union for Conservation of Nature (2013). http://www.iucnredlist.org/details/169975/0. Type: dataset.Canepa, A. et al. Pelagia noctiluca in the mediterranean sea (eds Pitt, K. A. & Lucas, C. H.) In Jellyfish Blooms, Vol. 9789400770 237–266 (Springer Netherlands, 2014). https://doi.org/10.1007/978-94-007-7015-7_11.Bosch-Belmar, M. et al. Jellyfish blooms perception in Mediterranean finfish aquaculture. Mar. Policy 76, 1–7. https://doi.org/10.1016/j.marpol.2016.11.005 (2017).Article 

Google Scholar 
Exceltur. Impactur baleares 2014. Tech. Rep., EXCELTUR – Govern de les Illes Balears, Madrid (2014).Vignudelli, S., Gasparini, G. P., Astraldi, M. & Schiano, M. E. A possible influence of the North Atlantic Oscillation on the circulation of the Western Mediterranean Sea. Geophys. Res. Lett. 26(5), 623–626. https://doi.org/10.1029/1999GL900038 (1999).Article 
ADS 

Google Scholar 
Somot, S. et al. Characterizing, modelling and understanding the climate variability of the deep water formation in the North-Western Mediterranean Sea. Clim. Dyn. 51(3), 1179–1210. https://doi.org/10.1007/s00382-016-3295-0 (2018).Article 

Google Scholar 
Díaz, D., Marí, M., Abelló, P. & Demestre, M. Settlement and juvenile habitat of the European spiny lobster Palinurus elephas (Crustacea: Decapoda: Palinuridae) in the Western Mediterranean Sea. Sci. Mar. 65(4), 347–356. https://doi.org/10.3989/scimar.2001.65n4347 (2001).Article 

Google Scholar 
Muñoz, A. et al. Exploration of the inter-annual variability and multi-scale environmental drivers of European spiny lobster, Palinurus elephas (Decapoda: Palinuridae) settlement in the NW Mediterranean. Mar. Ecol.https://doi.org/10.1111/maec.12654 (2021).Article 

Google Scholar 
Malej, A. & Malej, M. Population dynamics of the jellyfish Pelagia noctiluca (Forsskal, 1775) In Marine Eutrophication and Population Dynamics (eds Colombo, G., Ferrari, I., V., C. & R., R.) 215–219 (Olsen and Olsen, 1992).Ottmann, D. et al. Abundance of Pelagia noctiluca early life stages in the western Mediterranean Sea scales with surface chlorophyll. Mar. Ecol. Prog. Ser. 658, 75–88. https://doi.org/10.3354/meps13423 (2021).Article 
ADS 
CAS 

Google Scholar 
Benedetti-Cecchi, L. et al. Deterministic factors overwhelm stochastic environmental fluctuations as drivers of jellyfish outbreaks. PLoS One 10(10), 1–16. https://doi.org/10.1371/journal.pone.0141060 (2015).Article 
CAS 

Google Scholar 
Licandro, P. et al. A blooming jellyfish in the northeast Atlantic and Mediterranean. Biol. Lett. 6(5), 688–691. https://doi.org/10.1098/rsbl.2010.0150 (2010).Article 
CAS 

Google Scholar 
Goy, J., Morand, P. & Etienne, M. Long-term fluctuations of Pelagia noctiluca (Cnidaria, Scyphomedusa) in the western Mediterranean Sea. Prediction by climatic variables. Deep Sea Res. Part A Oceanogr. Res. Pap. 36(2), 269–279 (1989). https://doi.org/10.1016/0198-0149(89)90138-6 .Yahia, M. N. D. et al. Are the outbreaks timing of Pelagia noctiluca (Forsskal, 1775) getting more frequent in the Mediterranean basin?. ICES Cooper. Res. Rep. 300, 8–14 (2010).
Google Scholar 
Ferraris, M. et al. Distribution of Pelagia noctiluca (Cnidaria, Scyphozoa) in the Ligurian Sea (NW Mediterranean Sea). J. Plankton Res. 34(10), 874–885. https://doi.org/10.1093/plankt/fbs049 (2012).Article 

Google Scholar 
Millot, C. Circulation in the Western Mediterranean Sea. J. Mar. Syst. 20(1–4), 423–442. https://doi.org/10.1016/S0924-7963(98)00078-5 (1999).Article 

Google Scholar 
Galarza, J. A. et al. The influence of oceanographic fronts and early-life-history traits on connectivity among littoral fish species. Proc. Natl. Acad. Sci. 106(5), 1473–1478. https://doi.org/10.1073/pnas.0806804106 (2009).Article 
ADS 

Google Scholar 
Fernández de Puelles, M. L. & Molinero, J. C. Decadal changes in hydrographic and ecological time-series in the Balearic Sea (western Mediterranean), identifying links between climate and zooplankton. ICES J. Mar. Sci. 65(3), 311–317. https://doi.org/10.1093/icesjms/fsn017 (2008).Article 

Google Scholar 
Arsouze, T. et al. CIESM (ed.) Sensibility analysis of the Western Mediterranean Transition inferred by four companion simulations. (ed. CIESM) EGU General Assembly Conference Abstracts, Vol. 1 of EGU General Assembly Conference Abstracts, 13073 (2013).Amores, A., Jordà, G., Arsouze, T. & Le Sommer, J. Up to what extent can we characterize ocean eddies using present-day gridded altimetric products?. J. Geophys. Res. Oceans 123(10), 7220–7236. https://doi.org/10.1029/2018JC014140 (2018).Article 
ADS 

Google Scholar 
Waldman, R. et al. Impact of the mesoscale dynamics on ocean deep convection: The 2012–2013 case study in the northwestern mediterranean sea. J. Geophys. Res. Oceans 122(11), 8813–8840. https://doi.org/10.1002/2016JC012587 (2017).Article 
ADS 

Google Scholar 
Lett, C. et al. A Lagrangian tool for modelling ichthyoplankton dynamics. Environ. Model. Softw. 23(9), 1210–1214. https://doi.org/10.1016/j.envsoft.2008.02.005 (2008).Article 

Google Scholar 
Brickman, D. & Smith, P. C. Lagrangian stochastic modeling in coastal oceanography. J. Atmos. Ocean. Technol. 19(1), 83–99. https://doi.org/10.1175/1520-0426(2002)0192.0.CO;2 (2002).Article 
ADS 

Google Scholar 
Goñi, R. & Latrouite, D. Review of the biology, ecology and fisheries of Palinurus spp. species of European waters: Palinurus elephas (Fabricius, 1787) and Palinurus mauritanicus (Gruvel, 1911). Cahiers de Biol. Mar. 46(2), 127–142 (2005).
Google Scholar 
Bjornsson, H. & Venegas, S. A manual for EOF and SVD analyses of climatic data. Tech. Rep. CCGCR Report No. 97-1, McGill s Centre for Climate and Global Change Research (C2GCR) (1997).Herrmann, M., Somot, S., Sevault, F., Estournel, C. & Déqué, M. Modeling the deep convection in the northwestern mediterranean sea using an eddy-permitting and an eddy-resolving model: Case study of winter 1986–1987. J. Geophys. Res. Oceans 113(C4) (2008). https://doi.org/10.1029/2006JC003991.Hersbach, H. et al. ERA5 monthly averaged data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). 10, 252–266 (2019). https://doi.org/10.24381/cds.f17050d7 .Bernard, P., Berline, L. & Gorsky, G. Long term (1981–2008) monitoring of the jellyfish Pelagia noctiluca (Cnidaria, Scyphozoa) on Mediterranean Coasts (Principality of Monaco and French Riviera). J. Oceanogr. Res. Data 4(1), 1–10 (2011).
Google Scholar 
Kough, A. S., Paris, C. B. & Butler, M. J. IV. Larval connectivity and the international management of fisheries. PLoS One 8(6), 1–12. https://doi.org/10.1371/journal.pone.0064970 (2013).Article 
CAS 

Google Scholar 
Sandvik, H. et al. Modelled drift patterns of fish larvae link coastal morphology to seabird colony distribution. Nat. Commun. 7(May), 1–8. https://doi.org/10.1038/ncomms11599 (2016).Article 
CAS 

Google Scholar 
Notarbartolo-Di-Sciara, G., Agardy, T., Hyrenbach, D., Scovazzi, T. & Van Klaveren, P. The Pelagos Sanctuary for Mediterranean marine mammals. Aquat. Conserv. Mar. Freshw. Ecosyst. 18(4), 367–391. https://doi.org/10.1002/aqc.855 (2008).Article 

Google Scholar 
Astraldi, M., Gasparini, G. P., Vetrano, a. & Vignudelli, S. Hydrographic characteristics and interannual variability of water masses in the central Mediterranean: A sensitivity test for long-term changes in the Mediterranean Sea. Deep Sea Res. Part I Oceanogr. Res. Pap. 49(4), 661–680 (2002). https://doi.org/10.1016/S0967-0637(01)00059-0 .Muffett, K. & Miglietta, M. P. Planktonic associations between medusae (classes Scyphozoa and Hydrozoa) and epifaunal crustaceans. PeerJ 9, e11281. https://doi.org/10.7717/peerj.11281 (2021) https://peerj.com/articles/11281.Article 

Google Scholar 
Stopar, K., Ramšak, A., Trontelj, P. & Malej, A. Lack of genetic structure in the jellyfish Pelagia noctiluca (Cnidaria: Scyphozoa: Semaeostomeae) across European seas. Mol. Phylogenet. Evol. 57(1), 417–428. https://doi.org/10.1016/j.ympev.2010.07.004 (2010).Article 
CAS 

Google Scholar 
Berline, L., Zakardjian, B., Molcard, A., Ourmières, Y. & Guihou, K. Modeling jellyfish Pelagia noctiluca transport and stranding in the Ligurian Sea. Mar. Pollut. Bull. 70(1–2), 90–99. https://doi.org/10.1016/j.marpolbul.2013.02.016 (2013).Article 
CAS 

Google Scholar 
Prieto, L., Macías, D., Peliz, A. & Ruiz, J. Portuguese Man-of-War (Physalia physalis) in the Mediterranean: A permanent invasion or a casual appearance? Sci. Rep. 5 (2015). https://doi.org/10.1038/srep11545.Houghton, J. D. R. et al. Identification of genetically and oceanographically distinct blooms of jellyfish. J. R. Soc. Interface 10(80), 20120920–20120920. https://doi.org/10.1098/rsif.2012.0920 (2013).Article 

Google Scholar 
Segura-García, I. et al. Reconstruction of larval origins based on genetic relatedness and biophysical modeling. Sci. Rep. 9(1), 1–9. https://doi.org/10.1038/s41598-019-43435-9 (2019).Article 
ADS 
CAS 

Google Scholar 
Elphie, H., Raquel, G., David, D. & Serge, P. Detecting immigrants in a highly genetically homogeneous spiny lobster population (Palinurus elephas) in the northwest Mediterranean Sea. Ecol. Evol. 2(10), 2387–2396. https://doi.org/10.1002/ece3.349 (2012).Article 

Google Scholar 
Babbucci, M. et al. Population structure, demographic history, and selective processes: Contrasting evidences from mitochondrial and nuclear markers in the European spiny lobster Palinurus elephas (Fabricius, 1787). Mol. Phylogenet. Evol. 56(3), 1040–1050. https://doi.org/10.1016/j.ympev.2010.05.014 (2010).Article 
CAS 

Google Scholar 
Cau, A. et al. European spiny lobster recovery from overfishing enhanced through active restocking in Fully Protected Areas. Sci. Rep. 9(1) (2019). https://doi.org/10.1038/s41598-019-49553-8 .Macias, D., Garcia-Gorriz, E. & Stips, A. Deep winter convection and phytoplankton dynamics in the NW Mediterranean Sea under present climate and future (Horizon 2030) scenarios. Sci. Rep. 8(1), 1–15. https://doi.org/10.1038/s41598-018-24965-0 (2018).Article 
CAS 

Google Scholar  More

Aylward, F. O. et al. Microbial community transcriptional networks are conserved in three domains at ocean basin scales. Proc. Natl Acad. Sci. USA 112, 5443–5448 (2015).Article 
CAS 

Google Scholar 
Fuhrman, J. A. Microbial community structure and its functional implications. Nature 459, 193–199 (2009).Article 
CAS 

Google Scholar 
Amin, S. A., Parker, M. S. & Armbrust, E. V. Interactions between diatoms and bacteria. Microbiol. Mol. Biol. Rev. 76, 667–684 (2012).Article 
CAS 

Google Scholar 
Mayali, X. Metabolic interactions between bacteria and phytoplankton. Front. Microbiol. 9, 727 (2018).Article 

Google Scholar 
Amin, S. A. et al. Photolysis of iron–siderophore chelates promotes bacterial–algal mutualism. Proc. Natl Acad. Sci. USA 106, 17071–17076 (2009).Amin, S. A. et al. Interaction and signalling between a cosmopolitan phytoplankton and associated bacteria. Nature 522, 98 (2015).Article 
CAS 

Google Scholar 
Durham, B. P. et al. Cryptic carbon and sulfur cycling between surface ocean plankton. Proc. Natl Acad. Sci. USA 112, 453 (2015).Article 
CAS 

Google Scholar 
Stocker, R. Marine microbes see a sea of gradients. Science 338, 628 (2012).Article 
CAS 

Google Scholar 
Bell, W. & Mitchell, R. Chemotactic and growth responses of marine bacteria to algal extracellular products. Biol. Bull. 143, 265–277 (1972).Article 

Google Scholar 
Azam, F. & Ammerman, J. W. in Flows of Energy and Materials in Marine Ecosystems 345–360 (Springer, 1984).Mitchell, J. G., Okubo, A. & Fuhrman, J. A. Microzones surrounding phytoplankton form the basis for a stratified marine microbial ecosystem. Nature 316, 58–59 (1985).Article 
CAS 

Google Scholar 
Seymour, J. R., Amin, S. A., Raina, J.-B. & Stocker, R. Zooming in on the phycosphere: the ecological interface for phytoplankton–bacteria relationships. Nat. Microbiol. 2, 17065 (2017).Article 
CAS 

Google Scholar 
Sonnenschein, E. C., Syit, D. A., Grossart, H.-P. & Ullrich, M. S. Chemotaxis of Marinobacter adhaerens and its impact on attachment to the diatom Thalassiosira weissflogii. Appl. Environ. Microbiol. 78, 6900–6907 (2012).Article 
CAS 

Google Scholar 
Raina, J.-B., Fernandez, V., Lambert, B., Stocker, R. & Seymour, J. R. The role of microbial motility and chemotaxis in symbiosis. Nat. Rev. Microbiol. 17, 284–294 (2019).Article 
CAS 

Google Scholar 
Seymour, J. R., Ahmed, T., Durham, W. M. & Stocker, R. Chemotactic response of marine bacteria to the extracellular products of Synechococcus and Prochlorococcus. Aquat. Microb. Ecol. 59, 161–168 (2010).Article 

Google Scholar 
Smriga, S., Fernandez, V. I., Mitchell, J. G. & Stocker, R. Chemotaxis toward phytoplankton drives organic matter partitioning among marine bacteria. Proc. Natl Acad. Sci. USA 113, 1576–1581 (2016).Article 
CAS 

Google Scholar 
Flombaum, P., Wang, W.-L., Primeau, F. W. & Martiny, A. C. Global picophytoplankton niche partitioning predicts overall positive response to ocean warming. Nat. Geosci. 13, 116–120 (2020).Article 
CAS 

Google Scholar 
Christie-Oleza, J. A., Sousoni, D., Lloyd, M., Armengaud, J. & Scanlan, D. J. Nutrient recycling facilitates long-term stability of marine microbial phototroph–heterotroph interactions. Nat. Microbiol. 2, 17100 (2017).Article 
CAS 

Google Scholar 
Morris, J. J., Kirkegaard, R., Szul, M. J., Johnson, Z. I. & Zinser, E. R. Facilitation of robust growth of Prochlorococcus colonies and dilute liquid cultures by ‘helper’ heterotrophic bacteria. Appl. Environ. Microbiol. 74, 4530–4534 (2008).Article 
CAS 

Google Scholar 
Sher, D., Thompson, J. W., Kashtan, N., Croal, L. & Chisholm, S. W. Response of Prochlorococcus ecotypes to co-culture with diverse marine bacteria. ISME J. 5, 1125–1132 (2011).Article 
CAS 

Google Scholar 
Aharonovich, D. & Sher, D. Transcriptional response of Prochlorococcus to co-culture with a marine Alteromonas: differences between strains and the involvement of putative infochemicals. ISME J. 10, 2892–2906 (2016).Article 
CAS 

Google Scholar 
Jackson, G. A. Simulating chemosensory responses of marine microorganisms. Limnol. Oceanogr. 32, 1253–1266 (1987).Article 
CAS 

Google Scholar 
Gärdes, A., Iversen, M. H., Grossart, H.-P., Passow, U. & Ullrich, M. S. Diatom-associated bacteria are required for aggregation of Thalassiosira weissflogii. ISME J. 5, 436–445 (2011).Article 

Google Scholar 
Al-Wahaib, D., Al-Bader, D., Al-Shaikh Abdou, D. K., Eliyas, M. & Radwan, S. S. Consistent occurrence of hydrocarbonoclastic Marinobacter strains in various cultures of picocyanobacteria from the Arabian Gulf: promising associations for biodegradation of marine oil pollution. J. Mol. Microbiol. Biotechnol. 26, 261–268 (2016).CAS 

Google Scholar 
Raina, J.-B. et al. Subcellular tracking reveals the location of dimethylsulfoniopropionate in microalgae and visualises its uptake by marine bacteria. eLife 6, e23008 (2017).Article 

Google Scholar 
Brumley, D. R. et al. Cutting through the noise: bacterial chemotaxis in marine microenvironments. Front. Mar. Sci. 7, 527 (2020).Article 

Google Scholar 
Gärdes, A. et al. Complete genome sequence of Marinobacter adhaerens type strain (HP15), a diatom-interacting marine microorganism. Stand. Genom. Sci. 3, 97–107 (2010).Article 

Google Scholar 
Moore, L. R., Post, A. F., Rocap, G. & Chisholm, S. W. Utilization of different nitrogen sources by the marine cyanobacteria Prochlorococcus and Synechococcus. Limnol. Oceanogr. 47, 989–996 (2002).Article 
CAS 

Google Scholar 
Wawrik, B., Callaghan, A. V. & Bronk, D. A. Use of inorganic and organic nitrogen by Synechococcus spp. and diatoms on the West Florida shelf as measured using stable isotope probing. Appl. Environ. Microbiol. 75, 6662–6670 (2009).Article 
CAS 

Google Scholar 
Lambert, B. S. et al. A microfluidics-based in situ chemotaxis assay to study the behaviour of aquatic microbial communities. Nat. Microbiol. 2, 1344–1349 (2017).Article 
CAS 

Google Scholar 
Raina, J.-B. et al. Chemotaxis shapes the microscale organization of the ocean’s microbiome. Nature 605, 132–138 (2022).Article 
CAS 

Google Scholar 
Brumley, D. R. et al. Bacteria push the limits of chemotactic precision to navigate dynamic chemical gradients. Proc. Natl Acad. Sci. USA 116, 10792–10797 (2019).Article 
CAS 

Google Scholar 
Myklestad, S. M. in Marine Chemistry (ed. Wangersky, P. J.) 111–148 (Springer Berlin Heidelberg, 2000).Ni, B., Colin, R., Link, H., Endres, R. G. & Sourjik, V. Growth-rate dependent resource investment in bacterial motile behavior quantitatively follows potential benefit of chemotaxis. Proc. Natl Acad. Sci. USA 117, 595–601 (2020).Article 
CAS 

Google Scholar 
Stocker, R., Seymour, J. R., Samadani, A., Hunt, D. E. & Polz, M. F. Rapid chemotactic response enables marine bacteria to exploit ephemeral microscale nutrient patches. Proc. Natl Acad. Sci. USA 105, 4209–4214 (2008).Article 
CAS 

Google Scholar 
Buitenhuis, E. et al. MAREDAT: towards a world atlas of MARine Ecosystem DATa. Earth Syst. Sci. Data 5, 227–239 (2013).Article 

Google Scholar 
Raina, J.-B. et al. Symbiosis in the microbial world: from ecology to genome evolution. Biol. Open 7, bio032524 (2018).Article 

Google Scholar 
Giardina, M. et al. Quantifying inorganic nitrogen assimilation by Synechococcus using bulk and single-cell mass spectrometry: a comparative study. Front. Microbiol. 9, 2847 (2018).Article 

Google Scholar 
Berges, J. A., Franklin, D. J. & Harrison, P. J. Evolution of an artificial seawater medium: improvements in enriched seawater, artificial water over the last two decades. J. Phycol. 37, 1138–1145 (2001).Article 

Google Scholar 
Guillard, R. R. L. in Culture of Marine Invertebrate Animals: Proceedings—1st Conference on Culture of Marine Invertebrate Animals Greenport (eds Walter, L. S. & Matoira, H. C.) 29–60 (Springer US, 1975).Kaeppel, E. C., Gärdes, A., Seebah, S., Grossart, H.-P. & Ullrich, M. S. Marinobacter adhaerens sp. nov., isolated from marine aggregates formed with the diatom Thalassiosira weissflogii. Int. J. Syst. Evolut. Microbiol. 62, 124–128 (2012).Article 
CAS 

Google Scholar 
Sonnenschein, E. C. et al. Development of a genetic system for Marinobacter adhaerens HP15 involved in marine aggregate formation by interacting with diatom cells. J. Microbiol. Methods 87, 176–183 (2011).Article 
CAS 

Google Scholar 
Marie, D., Partensky, F., Jacquet, S. & Vaulot, D. Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl. Environ. Microbiol. 63, 186–193 (1997).Article 
CAS 

Google Scholar 
Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).Article 
CAS 

Google Scholar 
Hillion, F., Kilburn, M., Hoppe, P., Messenger, S. & Weber, P. K. The effect of QSA on S, C, O and Si isotopic ratio measurements. Geochim. Cosmochim. Acta 72, A377 (2008).
Google Scholar 
Popa, R. et al. Carbon and nitrogen fixation and metabolite exchange in and between individual cells of Anabaena oscillarioides. ISME J. 1, 354–360 (2007).Article 
CAS 

Google Scholar 
Sumner, L. W. et al. Proposed minimum reporting standards for chemical analysis. Metabolomics 3, 211–221 (2007).Article 
CAS 

Google Scholar 
Clerc, E. E., Raina, J.-B., Lambert, B. S., Seymour, J. & Stocker, R. In situ chemotaxis assay to examine microbial behavior in aquatic ecosystems. JoVE https://doi.org/10.3791/61062 (2020).Ihaka, R. & Gentleman, R. R: a language for data analysis and graphics. J. Comput. Graph. Stat. 5, 299–314 (1996).
Google Scholar 
Xie, L., Lu, C. & Wu, X.-L. Marine bacterial chemoresponse to a stepwise chemoattractant stimulus. Biophys. J. 108, 766–774 (2015).Article 
CAS 

Google Scholar 
Son, K., Guasto, J. S. & Stocker, R. Bacteria can exploit a flagellar buckling instability to change direction. Nat. Phys. 9, 494–498 (2013).Article 
CAS 

Google Scholar 
Lee, C. & Bada, J. L. Amino acids in equatorial Pacific Ocean water. Earth Planet. Sci. Lett. 26, 61–68 (1975).Article 
CAS 

Google Scholar 
Yamashita, Y. & Tanoue, E. Distribution and alteration of amino acids in bulk DOM along a transect from bay to oceanic waters. Mar. Chem. 82, 145–160 (2003).Article 
CAS 

Google Scholar 
Menden-Deuer, S. & Lessard, E. J. Carbon to volume relationships for dinoflagellates, diatoms, and other protist plankton. Limnol. Oceanogr. 45, 569–579 (2000).Article 
CAS 

Google Scholar 
Mullin, M. M., Sloan, P. R. & Eppley, R. W. Relationship between carbon content, cell volume and area in phytoplankton. Limnol. Oceanogr. 11, 307–311 (1966).Article 

Google Scholar  More