Ecology

Johannesson, K., Le Moan, A., Perini, S. & André, C. A Darwinian laboratory of multiple contact zones. Trends Ecol. Evol. 35, 1021–1036 (2020).PubMed 
Article 

Google Scholar 
Vamberger, M. et al. Differences in gene flow in a twofold secondary contact zone of pond turtles in southern Italy (Testudines: Emydidae: Emys orbicularis galloitalica, E. o. hellenica, E. trinacris). Zool. Scr. 44, 233–249 (2015).Article 

Google Scholar 
Fritz, U. et al. Mitochondrial phylogeography of Testudo graeca in the Western Mediterranean: Old complex divergence in North Africa and recent arrival in Europe. Amphib. Reptil. 30, 63–80 (2009).Article 

Google Scholar 
Fritz, U. et al. Phenotypic plasticity leads to incongruence between morphology-based taxonomy and genetic differentiation in western Palaearctic tortoises (Testudo graeca complex;Testudines, Testudinidae). Amphib. Reptil. 28, 97–121 (2007).Article 

Google Scholar 
Mikulíček, P., Jandzik, D., Fritz, U., Schneider, C. & Široký, P. AFLP analysis shows high incongruence between genetic differentiation and morphology-based taxonomy in a widely distributed tortoise. Biol. J. Linn. Soc. 108, 151–160 (2013).Article 

Google Scholar 
Parham, J. F. et al. Genetic evidence for premature taxonomic inflation in Middle Eastern tortoises. Proc. Calif. Acad. Sci. 57, 955–964 (2006).
Google Scholar 
Javanbakht, H. et al. Genetic diversity and Quaternary range dynamics in Iranian and Transcaucasian tortoises. Biol. J. Linn. Soc. 121, 627–640 (2017).Article 

Google Scholar 
Mashkaryan, V. et al. Gene flow among deeply divergent mtDNA lineages of Testudo graeca (Linnaeus, 1758) in Transcaucasia. Amphib. Reptilia. 34, 337–351 (2013).Article 

Google Scholar 
Türkozan, O., Kiremit, F., Lavin, B. R., Bardakcı, F. & Parham, J. F. Morphological and mitochondrial variation of spur-thighed tortoises, Testudo graeca, Turkey. Herpetol. J. 28, 1–9 (2017).
Google Scholar 
Graciá, E. et al. Expansion after expansion: dissecting the phylogeography of the widely distributed spur-thighed tortoise, Testudo graeca (Testudines:Testudinidae). Biol. J. Linn. Soc. 121(3), 641–654 (2017).Article 

Google Scholar 
Harris, D. J., Znari, M., Macé, J. C. & Carretero, M. A. Genetic variation in Testudo graeca from Morocco estimated using 12S rRNA sequencing. Rev. Esp. Herpetol. 17, 5–9 (2003).
Google Scholar 
Van Der Kuyl, A. C., Ballasina, D. L. P. & Zorgdrager, F. Mitochondrial haplotype diversity in the tortoise species Testudo graeca from North Africa and the Middle East. BMC Evol. Biol. 5, 29 (2005).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Highfield, A. C. Tortoises of north Africa; taxonomy, nomenclature, phylogeny and evolution with notes on field studies in Tunisia. J. Chelonian. Herpetol. 1, 1–56 (1990).
Google Scholar 
Pieh, A. & Perälä, J. Variabilität der Maurischen Landschildkröten (Testudo graeca Linnaeus, 1758–Komplex) im zentralen und nordwestlichen Marokko mit Beschreibung zweier neuer Taxa. Herpetozoa 17, 19–47 (2004).
Google Scholar 
Pieh, A. & Perälä, J. Variabilität von Testudo graeca Linnaeus, 1758 im östlichen Nordafrika mit Beschreibung eines neuen Taxons von der Cyrenaika (Nordostlibyen). Herpetozoa 15, 3–28 (2002).
Google Scholar 
Pieh, A. Testudo graeca soussensis, eine neue Unterart der Maurischen Landschildkröte aus dem Sousstal (Nordwest Marokko). Salamandra 36, 209–222 (2000).
Google Scholar 
Arakelyan, M., Türkozan, O., Hezaveh, N. & Parham, J. F. Ecomorphology of tortoises (Testudo graeca complex) from the Araks river valley. Russ. J. Herpetol. 25, 245–252 (2018).Article 

Google Scholar 
Türkozan, O., Kiremit, F., Parham, J. F., Olgun, K. & Taskavak, E. A quantitative reassessment of morphology based taxonomic schemes for Turkish tortoises. Amphib. Reptil. 31, 69–83 (2010).Article 

Google Scholar 
Van Dijk, P. P., Corti, C., Mellado, V. P. & Cheylan, M. Testudo graeca. The IUCN Red List of Threatened Species. Retrieved from https://www.iucnredlist.org/species. Version 12/2004 (2004).Bohm, M. et al. The conservation status of the world’s reptiles. Biol. Conserv. 157, 372–385 (2013).Article 

Google Scholar 
Pringle, R. M., Webb, J. K. & Shine, R. Canopy structure, microclimate, and habitat selection by a nocturnal snake (Hoplocephalus bungaroides). Ecology 84, 2668–2679 (2003).Article 

Google Scholar 
Rastegar-Pouyani, N. et al. Sustainable management of the Herpetofauna of the Iranian Plateau and coastal Iran. Amphib. Reptil. Conserv. 9, 1–15 (2015).
Google Scholar 
Rouag, R., Ziane, N. & Benyacoub, S. Home range of the spur-thighed tortoise, Testudo graeca (Testudines, Testudinidae), in the national park of El-Kala, Algeria. Vestn. Zool. 51, 45–52 (2017).Article 

Google Scholar 
Stanford, C. B. et al. Turtles and tortoises are in trouble. Curr. Biol. 30, 721–735 (2020).Article 
CAS 

Google Scholar 
Frankham, R., Ballou, J., Briscoe, D., & McInnes, K. Frontmatter. In A Primer of Conservation Genetics I–Iv (Cambridge University Press, 2004).Rhodin, A. G. J., Iverson, J. B., Bour, R., Fritz, U., Georges, A., Shaffer, H. B. & van Dijk, P.P. Turtles of the World: Annotated Checklist and Atlas of Taxonomy, Synonymy, Distribution, and Conservation Status (9th Ed.) (2021).Heshmati, G. A. Vegetation characteristics of four ecological zones of Iran. Int. J. Plant Prod. 2, 215–224 (2007).
Google Scholar 
Graciá, E. et al. Human-mediated secondary contact of two tortoise lineages results in sex-biased introgression. Sci. Rep. 7, 4019 (2017).ADS 
PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Vamberger, M., Corti, C., Stuckas, H. & Fritz, U. Is the imperilled Spur-thighed tortoise (Testudo graeca) native in Sardinia? Implications from population genetics and for conservation. Amphib. Reptil. 32, 9–25 (2011).Article 

Google Scholar 
Allen, M., Jackson, J. & Walker, R. Late Cenozoic reorganization of the Arabia–Eurasia collision and the comparison of short-term and longterm deformation rates. Tectonics 23, TC2008. https://doi.org/10.1029/2003TC001530 (2004).ADS 
Article 

Google Scholar 
Adams, D. C., Rohlf, F. J. & Slice, D. E. Geometric morphometrics: Ten years of progress following the revolution. Ital. J. Zool. 71, 5–16 (2004).Article 

Google Scholar 
Golubovi, A., Tomovi, L. & Ivanovi, A. Geometry of self righting: the case of Hermann’s tortoises. Zool. Anz. 254, 99–105 (2015).Article 

Google Scholar 
Arakelyan, M., Parham J. F., Türkozan, O., & Danielyan, F. Sympatrisches Vorkommen Zweier For men von Testudo graeca. In Armenien und der Republik Nagorno-Karabakh Marginata 26–30 (2008).Guyot, G. & Devaux, B. Variation in shell morphology and color of Hermann’s tortoise, Testudo hermanni, in southern Europe. Chelonian Res. Found. 2, 390–395 (1997).
Google Scholar 
Macale, D., Venchi, A. & Scalici, M. Shell shape and size variation in the Egyptian tortoise Testudo kleinmanni (Testudinidae, Testudines). Folia Zool. 60, 167–175 (2011).Article 

Google Scholar 
Fritz, U. et al. Mitochondrial phylogeography and subspecies of the wide-ranging sub-Saharan leopard tortoise Stigmochelys pardalis (Testudines: Testudinidae)—A case study for the pitfalls of pseudogenes and GenBank sequences. J. Zool. Syst. Evol. 48, 348–359 (2010).Article 

Google Scholar 
Fritz, U. et al. Northern genetic richness and southern purity, but just one species in the Chelonoidis chilensis complex. Zool. Scr. 41, 220–232 (2012).Article 

Google Scholar 
Fritz, U., Široký, P., Kami, H. & Wink, M. Environmentally caused dwarfism or a valid species—Is Testudo weissingeri Bour, 1996 a distinct evolutionary lineage? New evidence from mitochondrial and nuclear genomic markers. Mol. Phylogenet. Evol. 37, 389–401 (2005).CAS 
PubMed 
Article 

Google Scholar 
Carretero, M. A., Znari, M., Harris, D. J. & Macé, J. C. Morphological divergence among populations of Testudo graeca from west-central Morocco. Anim. Biol. 55, 259–279 (2005).Article 

Google Scholar 
Bonnet, X. et al. Sexual dimorphism in steppe tortoises (Testudo horsfieldii): influence of the environment and sexual selection on body shape and mobility. Biol. J. Linn. Soc. 72, 357–372 (2001).Article 

Google Scholar 
Ljubisavljević, K., Džukić, G., Vukov, T. D. & Kalezić, M. L. Morphological variability of the Hermann’s tortoise (Testudo hermanni) in the Central Balkans. Acta Herpetol. 7, 253–262 (2012).
Google Scholar 
Casacci, L. P., Barbero, F. & Balletto, E. The evolutionarily significant unit concept and its applicability in biological conservation. Ital. J. Zool. 81, 182–193 (2014).Article 

Google Scholar 
Percie du Sert, N. et al. Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 20. PLoS Bio. 18, e3000411 (2020).CAS 
Article 

Google Scholar 
Dutton, P. & Balazs, G. H. Simple biopsy technique for sampling skin for DNA analysis of sea turtles. M.T.N. 69, 9–10 (1995).
Google Scholar 
Filippi, E., Rugiero, L., Capula, M., Burke, R. L. & Luiselli, L. Population and thermal ecology of Testudo hermanni hermanni in the Tolfa Mountains of Central Italy. Chelonian Conserv. Biol. 9, 54–60 (2010).Article 

Google Scholar 
Fritz, U. et al. A rangewide phylogeography of Hermann’s tortoise, Testudo hermanni (Reptilia: Testudines: Testudinidae): implications for taxonomy. Zool. Scr. 35, 531–543 (2006).Article 

Google Scholar 
Spinks, P. Q., Shaffer, H. B., Iverson, J. B. & McCord, W. P. Phylogenetic hypotheses for the turtle family Geoemydidae. Mol. Phylogenet. Evol. 32, 164–182 (2004).CAS 
PubMed 
Article 

Google Scholar 
Kumar, S., Stecher, G. & Tamura, K. MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol. Biol. Evol. 33, 1870–1874 (2016).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Librado, P. & Rozas, J. DnaSP v5: A software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25, 1451–1452 (2009).CAS 
PubMed 
Article 

Google Scholar 
Xia, X. DAMBE6: New tools for microbial genomics, phylogenetics, and molecular evolution. J. Hered. 108, 431–437 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Lanfear, R., Frandsen, P. B., Wright, A. M., Senfeld, T. & Calcott, B. Partition Finder 2: new methods for selecting partitioned models of evolution for molecular and morphological phylogenetic analyses. Mol. Biol. Evol. 34, 772–773 (2016).
Google Scholar 
Ronquist, F. et al. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 61, 539–542 (2012).Rambaut, A., Drummond, A. J., Xie, D., Baele, G. & Suchard, M. A. Posterior summarization in Bayesian phylogenetics using tracer 1.7. Syst. Biol. 67, 901–904 (2018).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Nguyen, L. T., Schmidt, H. A., Von Haeseler, A. & Minh, B. Q. IQ-TREE: A fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 32, 268–274 (2015).CAS 
PubMed 
Article 

Google Scholar 
Leigh, J. W. & Bryant, D. popart: Full-feature software for haplotype network construction. Methods Ecol. Evol. 6, 1110–1116 (2015).Article 

Google Scholar 
Excoffier, L. & Lischer, H. E. Arlequin suite ver 3.5: A new series of programs to perform population genetics analyses under Linux and Windows. Mol. Ecol. Resour. 10, 564–567 (2010).PubMed 
Article 

Google Scholar 
Bouckaert, R. et al. BEAST 2: A software platform for Bayesian evolutionary analysis. PLoS Comput. Biol. 10, e1003537 (2014).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Fu, Y. X. Statistical tests of neutrality of mutations against population growth, hitchhiking and background selection. Genetics 147, 915–925 (1997).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Tajima, F. The effect of change in population size on DNA polymorphism. Genetics 123, 597–601 (1989).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Ramos-Onsins, S. E. & Rozas, J. Statistical properties of new neutrality tests against population growth. Mol. Biol. Evol. 19, 2092–2100 (2002).CAS 
PubMed 
Article 

Google Scholar 
Elliott, N. G., Haskard, K. & Koslow, J. A. Morphometric analysis of orange roughy (Huplustetlius atlanticus) off the continental slope of southern Australia. J. Fish Biol. 46, 202–220 (1995).Article 

Google Scholar 
Anadón, J. D. et al. Individualistic response to past climate changes: Niche differentiation promotes diverging Quaternary range dynamics in the subspecies of Testudo graeca. Ecography 38, 956–966 (2015).Article 

Google Scholar 
Hammer, Ø., Harper, D. A. T. & Ryan, P. D. PAST: Paleontological statistics software package for education and data analysis. Palaeontol. Electron. 4, 1–9 (2001).
Google Scholar 
McKenzie, J. D. Minitab Student Release 14: Statistical Software for Education (Pearson Addison-Wesley, 2004).
Google Scholar 
Rohlf, F. J. The tps series of software. Hystrix 26, 9–12 (2015).
Google Scholar 
Rohlf, F. J. & Slice, D. E. Extensions of the Procrustes method for the optimal superimposition of landmarks. Syst. Zool. 39, 40–59 (1990).Article 

Google Scholar 
Zelditch, M., Swiderski, D., Sheets, D. H. & Fink, W. L. Geometric Morphometrics for Biologists: A Primer (Academic Press, 2004).MATH 

Google Scholar 
Klingeberg, C. P. Morpho J: An integrated software package for geometric morphometric. Mol. Ecol. Resour. 11, 353–357 (2011).Article 

Google Scholar  More

NPFC. 8th Meeting of the Small Scientific Committee on Pacific Saury Report. NPFC-2021-SSC PS08-Final Report. Preprint at https://www.npfc.int/meetings/8th-ssc-ps-meeting (2021).Hubbs, C. L. & Wisner, R. L. Revision of the sauries (Pisces, Scomberesocidae) with descriptions of two new genera and one new species. Fish. Bull. 77, 521–566 (1980).
Google Scholar 
Tian, Y., Akamine, T. & Suda, M. Variations in the abundance of Pacific saury (Cololabis saira) from the northwestern Pacific in relation to oceanic-climate changes. Fish. Res. 60, 439–454 (2003).Article 

Google Scholar 
Huang, W. B. Comparisons of monthly and geographical variations in abundance and size composition of Pacific saury between the high-seas and coastal fishing grounds in the northwestern Pacific. Fish. Sci. 76, 21–31 (2010).CAS 
Article 

Google Scholar 
Watanabe, Y., Builer, J. L. & Mori, T. Growth of Pacific saury, Cololabis saira, in the northeastern and northwestern Pacific Ocean. Fish. Bull. 86, 489–498 (1988).
Google Scholar 
Nakaya, M. et al. Growth and maturation of Pacific saury Cololabis saira under laboratory conditions. Fish. Sci. 76, 45–53 (2010).CAS 
Article 

Google Scholar 
Kosaka, S. Life history of Pacific saury Cololabis saira in the Northwest Pacific and consideration of resource fluctuation based on it. Bull. Tohoku Natl. Fish. Res. Inst. 63, 1–96 (2000).
Google Scholar 
Suyama, S. Study on the age, growth, and maturation process of Pacific saury Cololabis saira (Brevoort) in the north Pacific. Bull. Fish. Res. Agen. 5, 68–113 (2002).
Google Scholar 
Huang, W. B., Lo, N. C. H., Chiu, T. S. & Chen, C. S. Geographical distribution and abundance of Pacific saury fishing stock in the Northwestern Pacific in relation to sea temperature. Zool. Stud. 46, 705–716 (2007).
Google Scholar 
Liu, S. et al. Using novel spawning ground indices to analyze the effects of climate change on Pacifc saury abundance. J. Mar. Syst. 191, 13–23 (2019).Article 

Google Scholar 
Tian, Y., Akamine, T. & Suda, M. Long-term variability in the abundance of Pacific Saury in the Northwestern Pacific Ocean and climate changes during the last century. Bull. Jpn. Soc. Fish. Oceanogr. 66, 16–25 (2002).
Google Scholar 
Tian, Y., Ueno, Y., Suda, M. & Akamine, T. Decadal variability in the abundance of Pacific saury and its response to climatic/oceanic regime shifts in the northwestern subtropical Pacific during the last half century. J. Mar. Syst. 52, 235–257 (2004).Article 

Google Scholar 
Yasuda, I. & Watanabe, T. Chlorophyll a variation in the Kuroshio Extension revealed with a mixed-layer tracking float: Implication on the long-term change of Pacific saury (Cololabis saira). Fish. Oceanogr. 16, 482–488 (2007).Article 

Google Scholar 
Fuji, T., Kurita, Y., Suyama, S. & Ambe, D. Estimating the spawning ground of Pacific saury Cololabis saira by using the distribution and geographical variation in maturation status of adult fish during the main spawning season. Fish. Oceanogr. 30, 382–396 (2020).Article 

Google Scholar 
Yasuda, I. & Watanabe, Y. On the relationship between the Oyashio front and saury fishing grounds in the northewestern Pacific: A forecasting method for fishing ground locations. Fish. Oceanogr. 3, 172–181 (1994).Article 

Google Scholar 
Kuroda, H. & Yokouchi, K. Interdecadal decrease in potential fishing areas for Pacific saury off the southeastern coast of Hokkaido, Japan. Fish. Oceanogr. 26, 439–454 (2017).Article 

Google Scholar 
Fukushima, S. Synoptic analysis of migration and fishing conditions of saury in the northwestern Pacific Ocean. Bull. Tohoku. Reg. Fish. Res. Lab 41, 1–70 (1979).
Google Scholar 
Sugisaki, H. & Kurita, Y. Daily rhythm and seasonal variation of feeding habit of Pacific saury (Cololabis saira) in relation to their migration and oceanographic conditions off Japan. Fish. Oceanogr. 13, 63–73 (2004).Article 

Google Scholar 
Huang, W. B. & Huang, Y. C. Maturity characteristics of Pacific saury during fishing season in the Northwest pacific. J. Mar. Sci. Tech. 23, 819–826 (2015).
Google Scholar 
Tseng, C. T. et al. Influence of climate-driven sea surface temperature increase on potential habitats of the Pacific saury (Cololabis saira). ICES J. Mar. Sci. 68, 1105–1113 (2011).Article 

Google Scholar 
Tseng, C. T. et al. Sea surface temperature fronts affect distribution of Pacific saury (Cololabis saira) in the Northwestern Pacific Ocean. Deep Sea Res II Top. Stud. Oceanogr. 107, 15–21 (2014).ADS 
Article 

Google Scholar 
Hua, C., Li, F., Zhu, Q., Zhu, G. & Meng, L. Habitat suitability of Pacific saury (Cololabis saira) based on a yield-density model and weighted analysis. Fish. Res. 221, 105408. https://doi.org/10.1016/j.fishres.2019.105408 (2020).Article 

Google Scholar 
Mugo, R., Saitoh, S. I., Nihira, A. & Kuroyama, T. Habitat characteristics of skipjack tuna (Katsuwonus pelamis) in the western North Pacific: A remote sensing perspective. Fish. Oceanogr. 19, 382–396 (2010).Article 

Google Scholar 
Yu, W., Chen, X., Chen, Y., Yi, Q. & Zhang, Y. Effects of environmental variations on the abundance of western winter-spring cohort of neon flying squid (Ommastrephes bartramii) in the Northwest Pacific Ocean. Acta Oceanol. Sin. 34, 43–51 (2015).CAS 
Article 

Google Scholar 
Kakehi, S. et al. Forecasting Pacific saury (Cololabis saira) fishing grounds off Japan using a migration model driven by an ocean circulation model. Ecol. Model. 431, 109150. https://doi.org/10.1016/j.ecolmodel.2020.109150 (2020).Article 

Google Scholar 
Swain, D. P. & Wade, E. J. Spatial distribution of catch and effort in a fishery for snow crab (Chionoecetes opilio): Tests of predictions of the ideal free distribution. Can. J. Fish. Aquat. Sci. 60, 897–909 (2003).Article 

Google Scholar 
Chang, Y. J. et al. Modelling the impacts of environmental variation on habitat suitability for Pacific saury in the Northwestern Pacific Ocean. Fish. Oceanogr. 28, 291–304 (2018).Article 

Google Scholar 
Bakun, A. Fronts and eddies as key structures in the habitat of marine fish larvae: Opportunity, adaptive response and competitive advantage. Sci. Mar. 70, 105–122 (2006).Article 

Google Scholar 
Oozeki, Y., Watanabe, Y. & Kitagawa, D. Environmental factors affecting larval growth of Pacific saury, Cololabis saira, in the northwestern Pacific Ocean. Fish. Oceanogr. 13, 44–53 (2004).Article 

Google Scholar 
Ito, S. I. et al. Initial design for a fish bioenergetics model of Pacific saury coupled to a lower trophic ecosystem model. Fish. Oceanogr. 13, 111–124 (2004).Article 

Google Scholar 
Miyamoto, H. et al. Geographic variation in feeding of Pacific saury Cololabis saira in June and July in the North Pacific Ocean. Fish. Oceanogr. 29, 558–571 (2020).CAS 
Article 

Google Scholar 
Tseng, C. T. et al. Spatial and temporal variability of the Pacific saury (Cololabis saira) distribution in the northwestern Pacific Ocean. ICES J. Mar. Sci. 70, 991–999 (2013).Article 

Google Scholar 
Ichii, T. et al. Oceanographic factors affecting interannual recruitment variability of Pacific saury (Cololabis saira) in the central and western North Pacific. Fish. Oceanogr. 27, 445–457 (2018).Article 

Google Scholar 
Coletto, J. L., Pinho, M. P. & Madureira, L. S. P. Operational oceanography applied to skipjack tuna (Katsuwonus pelamis) habitat monitoring and fishing in south-western Atlantic. Fish. Oceanogr. 28, 82–93 (2018).Article 

Google Scholar 
Shi, Y., Zhu, Q., Hua, C. & Zhang, Y. Evaluation of saury stick-held net performance between model test and on-sea measurements. Haiyang Xuebao 41, 123–133 (2019).CAS 

Google Scholar 
Semedi, B., Saitoh, S., Saitoh, K. & Yoneta, K. Application of multi-sensor satellite remote sensing for determining distribution and movement of Pacific saury, Cololabis saira. Fish. Sci. 68, 1781–1784 (2002).Article 

Google Scholar 
Syah, A. F., Saitoh, S. I., Alabia, I. D. & Hirawake, T. Detection of potential fishing zone for Pacific saury (Cololabis saira) using generalized additive model and remotely sensed data. IOP Conf. Ser. Earth Env. Sci. 54, 012074. https://doi.org/10.1088/1755-1315/54/1/012074 (2017).Article 

Google Scholar 
Xing, Q. et al. Application of a fish habitat model considering mesoscale oceanographic features in evaluating climatic impact on distribution and abundance of Pacific saury (Cololabis saira). Prog. Oceanogr. 201, 102743. https://doi.org/10.1016/j.pocean.2022.102743 (2022).Article 

Google Scholar 
Tittensor, D. P. et al. Global patterns and predictors of marine biodiversity across taxa. Nature 466, 1098–1101 (2010).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Prants, S. V., Budyansky, M. V. & Uleysky, M. Y. Identifying Lagrangian fronts with favourable fishery conditions. Deep Sea Res. Part I Oceanogr. Res. Pap. 90, 27–35 (2014).ADS 
Article 

Google Scholar 
Saito, H., Tsuda, A. & Kasai, H. Nutrient and plankton dynamics in the Oyashio region of the western subarctic Pacific Ocean. Deep Sea Res. II Top. Stud. Oceanogr. 49, 5463–5486 (2002).ADS 
CAS 
Article 

Google Scholar 
Watanabe, Y., Kurita, Y., Noto, M., Oozeki, Y. & Kitagawa, D. Growth and survival of Pacific Saury Cololabis saira in the Kuroshio-Oyashio transitional waters. J. Oceanogr. 59, 403–414 (2003).Article 

Google Scholar 
Bakun, A. Ocean eddies, predator pits and bluefin tuna: Implications of an inferred ‘low risk-limited payoff’ reproductive scheme of a (former) archetypical top predator. Fish Fish. 14, 424–438 (2013).Article 

Google Scholar 
Iwahashi, M., Isoda, Y., Ito, S. I., Oozeki, Y. & Suyama, S. Estimation of seasonal spawning ground locations and ambient sea surface temperatures for eggs and larvae of Pacific saury (Cololabis saira) in the western North Pacific. Fish. Oceanogr. 15, 128–138 (2006).Article 

Google Scholar 
Oozeki, Y., Okunishi, T., Takasuka, A. & Ambe, D. Variability in transport processes of Pacific saury Cololabis saira larvae leading to their broad dispersal: Implications for their ecological role in the western North Pacific. Prog. Oceanogr. 138, 448–458 (2015).ADS 
Article 

Google Scholar 
Polovina, J. J., Kleiber, P. & Kobayashi, D. R. Application of TOPEX-Poseidon satellite altimetry to simulate transport dynamics of larvae of spiny lobster, Panulirus marginatus, in the Northwestern Hawaiian Islands, 1993–1996. Fish. Bull. 97, 132–143 (1999).
Google Scholar 
Kawai, H. Hydrography of the Kuroshio extension. In Kuroshio—Its Physical Aspects (eds Stommel, H. & Yoshida, K.) 235–352 (University of Tokyo, 1972).
Google Scholar 
Yamada, F. & Sekine, Y. Variations in sea surface temperature and 500 hPa height over the north Pacific with reference to the occurrence of anomalous southward Oyashio intrusion east of Japan. J. Meteorol. Soc Jpn. Ser. II 75, 995–1000 (1997).Article 

Google Scholar 
Ellis, N., Smith, S. J. & Pitcher, C. R. Gradient forests: Calculating importance gradients on physical predictors. Ecology 93, 156–168 (2012).PubMed 
Article 

Google Scholar 
Hastie, T. J. & Tibshirani, R. J. Generalized additive models. Stat. Sci. 1, 297–310 (1986).MathSciNet 
MATH 

Google Scholar 
Litzow, M. A., Hobday, A. J., Frusher, S. D., Dann, P. & Tuck, G. N. Detecting regime shifts in marine systems with limited biological data: An example from southeast Australia. Prog. Oceanogr. 141, 96–108 (2016).ADS 
Article 

Google Scholar 
Pang, Y. et al. Variability of coastal cephalopods in overexploited China Seas under climate change with implications on fisheries management. Fish. Res. 208, 22–33 (2018).Article 

Google Scholar  More

Distribution of nitrogen-cycling pathways in groundwaterDifferences in nitrogen-cycling processes based on oxygen and nitrate concentrationsSixteen metagenomes (Table S4) were obtained from duplicate wells at four sites (A–D) from two unconfined alluvial aquifers (Canterbury, Fig. S1). These sites encompassed varied nitrate (0.45–12.6 g/m3), DO (0.37–7.5 mg/L), and dissolved organic carbon (DOC) (0–26 g/m3) concentrations (Fig. 1A; Table S1). Nitrate concentrations were pristine (site C) to N-contaminated (sites A, B, D) [4]. Sites A–C were oxic and had low DOC (typical of groundwaters), whereas site D was dysoxic with relatively high DOC. Metagenomes from groundwater wells comprised pairs, representing the planktonic and sediment-attached fractions. Over 70 Gbp of raw sequence was generated per site (390 Gbp overall, 322 Gbp trimmed). However, 2Kb long and only 0.64–8.14% of reads (3.8% on average) mapped to MAGs (Table S4), reflecting the complexity of microbial communities in the terrestrial subsurface [11]. To capture this diversity, metagenomic reads are first used here to determine the distribution of N metabolisms.Fig. 1: Geochemistry and protein-coding sequences (based on reads) involved in nitrogen cycling that are significantly different among sites used for metagenomics.A Bar plots showing geochemical data from groundwater samples, coloured according to site. Solid bar colour = groundwater samples. Grid lines = attached-fraction enriched groundwater. All samples from site D were characterized as dysoxic, although gwj15-16 contained 0.37 mg/L DO, which are near suboxic levels (i.e. More

All crops have been modified through some form of improvement, whether to enhance yield, taste, resilience or another factor. My passion is to continue accelerating the development of crop varieties that are more resistant to climate change and pests. This will make food supplies more secure and will also improve the quality of life for small-hold farmers in Africa and Asia, whose livelihoods can be devastated by crop failure.The goal of crop breeding is not only to develop new varieties, but also to produce genetically superior parents with a range of desirable traits that will be useful in future generations. Complex traits, such as yield or climate resilience, are often regulated by many genes. To speed up crop breeding for those traits, we use genomic data to select the best parental combinations, and then cameras and digital tools to identify the best progeny.In this photo, I’m in a greenhouse in Peru owned by my employer, the International Potato Center (CIP), inspecting potential sweet potato (Ipomoea batatas) breeding parents for cross-pollination. CIP is one of 13 gene banks and research facilities around the world, known collectively as One CGIAR, which protect and utilize crop genetic diversity. I’ve worked at CIP since 2016; before then, I worked in industry, where I developed crops such as drought-tolerant corn hybrids.Because potatoes don’t have seeds that can be preserved for decades, we must reproduce them by growing small parts of plant organs, such as a root, a tuber or part of a stem, in tissue culture. Nearly 85% of the unique potato populations stored at CIP are also cryopreserved in liquid nitrogen to maintain a long-term backup.I can’t think of a nobler mission than working on food security. I hope that more young scientists — especially women — will focus their talents on crop breeding for the future. More

Nature Positive is an aspirational term that is increasingly being used by businesses, governments and NGOs, but there is a danger that its meaning is being diluted away from measurable overall net gain in biodiversity towards merely any action that benefits nature, argues E.J. Milner-Gulland.The term is appealing because it suggests an optimistic, intuitive and clear summary of where society needs to get to, and it can be used equally by business, government and civil society to describe their aspirations to protect and recover nature. However, once terms start gaining traction, particularly relatively general terms like Nature Positive, there is a risk of slippage and loss of meaning. It is already starting to feel like any actions that increase biodiversity anywhere, and by any amount, can be called Nature Positive. This trend has to be resisted. More

Alroy J. Effects of habitat disturbance on tropical forest biodiversity. Proc Natl Acad Sci USA. 2017;114:6056–61.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Gatti LV, Basso LS, Miller JB, Gloor M, Gatti Domingues L, Cassol HLG, et al. Amazonia as a carbon source linked to deforestation and climate change. Nature. 2021;595:388–93.CAS 
PubMed 
Article 

Google Scholar 
Ellwanger JH, Kulmann-Leal B, Kaminski VL, Valverde-Villegas JM, Veiga ABGDA, Spilki FR, et al. Beyond diversity loss and climate change: impacts of Amazon deforestation on infectious diseases and public health. An Acad Bras Cienc. 2020;92:e20191375.CAS 
PubMed 
Article 

Google Scholar 
Morand S, Lajaunie C. Outbreaks of vector-borne and zoonotic diseases are associated with changes in forest cover and oil palm expansion at global scale. Front Vet Sci. 2021;8:661063.PubMed 
PubMed Central 
Article 

Google Scholar 
Keenan RJ, Reams GA, Achard F, de Freitas JV, Grainger A, Lindquist E. Dynamics of global forest area: results from the FAO Global Forest Resources Assessment 2015. For Ecol Manage. 2015;352:9–20.Article 

Google Scholar 
Rezende CL, Scarano FR, Assad ED, Joly CA, Metzger JP, Strassburg BBN, et al. From hotspot to hopespot: an opportunity for the Brazilian Atlantic Forest. Perspectives in Ecology and Conservation. 2018;16:208–14.Article 

Google Scholar 
Yarwood SA. The role of wetland microorganisms in plant-litter decomposition and soil organic matter formation: a critical review. FEMS Microbiol Ecol. 2018;94: https://doi.org/10.1093/femsec/fiy175.Kock RA, Orynbayev M, Robinson S, Zuther S, Singh NJ, Beauvais W, et al. Saigas on the brink: multidisciplinary analysis of the factors influencing mass mortality events. Sci Adv. 2018;4:eaao2314.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Murdock CC, Blanford S, Hughes GL, Rasgon JL, Thomas MB. Temperature alters Plasmodium blocking by Wolbachia. Sci Rep. 2014;4:3932.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
MacArthur RH, Wilson EO. An equilibrium theory of insular zoogeography. Evolution. 1963;17:373–87.Article 

Google Scholar 
Krasnov BR, Shenbrot GI, Medvedev SG. Host–habitat relations as an important determinant of spatial distribution of flea assemblages (Siphonaptera) on rodents in the Negev Desert. Parasitology. 1997;114:159–73.Poulin R. Are there general laws in parasite ecology? Parasitology 2007;134:63–776Speer KA, Dheilly NM, Perkins SL. Microbiomes are integral to conservation of parasitic arthropods. Biol Conserv. 2020;250:108695.Bell T, Ager D, Song J-I, Newman JA, Thompson IP, Lilley AK, et al. Larger islands house more bacterial taxa. Science. 2005;308:1884.CAS 
PubMed 
Article 

Google Scholar 
Zinger L, Boetius A, Ramette A. Bacterial taxa-area and distance-decay relationships in marine environments. Mol Ecol. 2014;23:954–64.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Martiny JBH, Bohannan BJM, Brown JH, Colwell RK, Fuhrman JA, Green JL, et al. Microbial biogeography: putting microorganisms on the map. Nat Rev Microbiol. 2006;4:102–12.CAS 
PubMed 
Article 

Google Scholar 
Carbonero F, Oakley BB, Purdy KJ. Metabolic flexibility as a major predictor of spatial distribution in microbial communities. PLoS One. 2014;9:e85105.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
van der Gast CJ. Microbial biogeography: the end of the ubiquitous dispersal hypothesis? Environ Microbiol. 2015;17:544–6.PubMed 
Article 

Google Scholar 
Weiss B, Aksoy S. Microbiome influences on insect host vector competence. Trends Parasitol. 2011;27:514–22.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Gupta A, Nair S. Dynamics of insect-microbiome interaction influence host and microbial symbiont. Front Microbiol. 2020;11:1357.PubMed 
PubMed Central 
Article 

Google Scholar 
Dick CW, Dittmar K. Parasitic bat Flies (Diptera: Streblidae and Nycteribiidae): Host specificity and potential as vectors. In: Klimpel S, Mehlhorn H (eds). Bats (Chiroptera) as Vectors of Diseases and Parasites. 2014. Springer, Berlin, Heidelberg, pp 131–55.Speer KA, Luetke E, Bush E, Sheth B, Gerace A, Quicksall Z, et al. A fly on the cave wall: Parasite genetics reveal fine-scale dispersal patterns of bats. 2019;105:555-66.Patterson BD, Dick CW, Dittmar K. Sex biases in parasitism of neotropical bats by bat flies (Diptera: Streblidae). J Trop Ecol. 2008;24:387–96.Article 

Google Scholar 
Hiller T, Brändel SD, Honner B, Page RA, Tschapka M. Parasitization of bats by bat flies (Streblidae) in fragmented habitats. Biotropica. 2020;72:617.
Google Scholar 
Kikuchi Y, Tada A, Musolin DL, Hari N, Hosokawa T, Fujisaki K, et al. Collapse of insect gut symbiosis under simulated climate change. MBio. 2016;7:e01578-16.Thapa S, Zhang Y, Allen MS. Effects of temperature on bacterial microbiome composition in Ixodes scapularis ticks. Microbiologyopen. 2019;8:e00719.PubMed 
Article 
CAS 

Google Scholar 
Teixeira TSM. Bats in a fragmented world. 2019. Queen Mary University of London.Emmons L, Feer F. Neotropical rainforest mammals: a field guide. 1997. sidalc.net.Reis NR, Fregonezi MN, Peracchi AL, Shibatta OA. Morcegos do Brasil: guia de campo. 2013. Technical Books Editora.Sikes RS, Care A, of Mammalogists UC of TAS. 2016 Guidelines of the American Society of Mammalogists for the use of wild mammals in research and education. J Mammal. 2016;97:663–88.PubMed 
PubMed Central 
Article 

Google Scholar 
Wenzel RL. The streblid batflies of Venezuela (Diptera: Streblidae). Brigham Young University Science Bulletin. Biological Series. 1976;20:1.
Google Scholar 
Graciolli G, de Carvalho CJB. Moscas ectoparasitas (Diptera, Hippoboscoidea) de morcegos (Mammalia, Chiroptera) do Estado do Paraná. 11. Streblidae. Chave pictórica para gêneros e espécies 1. RevIa bras Zool. 2001;18:907–60.Article 

Google Scholar 
Graciolli G, de Carvalho CJB. Moscas ectoparasitas (Diptera, Hippoboscoidea, Nycteribiidae) de morcegos (Mammalia, Chiroptera) do Estado do Paraná, Brasil. I. Basilia, taxonomia e chave pictórica para as espécies 1. RevIa bras Zool. 2001;18:33–49.Article 

Google Scholar 
Folmer O, Black M, Hoeh W, Lutz R, Vrijenhoek R. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Mol Mar Biol Biotechnol. 1994;3:294–9.CAS 
PubMed 

Google Scholar 
Hebert PDN, Cywinska A, Ball SL, deWaard JR. Biological identifications through DNA barcodes. Proceedings of the Royal Society of London Series B: Biological Sciences. 2003;270:313–21.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Gustafson EJ, Parker GR. Relationships between landcover proportion and indices of landscape spatial pattern. Landsc Ecol. 1992;7:101–10.Article 

Google Scholar 
McGarigal K, Cushman SA, Neel MC, Ene E. FRAGSTATS: spatial pattern analysis program for categorical maps. 2002. University of Massachusetts.Gilbert JA, Meyer F, Antonopoulos D, Balaji P, Brown CT, Brown CT, et al. Meeting report: the terabase metagenomics workshop and the vision of an Earth microbiome project. Stand Genomic Sci. 2010;3:243–8.PubMed 
PubMed Central 
Article 

Google Scholar 
Gilbert JA, Jansson JK, Knight R. The Earth Microbiome project: successes and aspirations. BMC Biol. 2014;12:69.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Apprill A, McNally S, Parsons R, Weber L. Minor revision to V4 region SSU rRNA 806R gene primer greatly increases detection of SAR11 bacterioplankton. Aquat Microb Ecol. 2015;75:129–37.Article 

Google Scholar 
Parada AE, Needham DM, Fuhrman JA. Every base matters: assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples. Environ Microbiol. 2016;18:1403–14.CAS 
PubMed 
Article 

Google Scholar 
Martin M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal. 2011;17:10–12.Article 

Google Scholar 
Katoh K, Misawa K, Kuma K-I, Miyata T. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 2002;30:3059–66.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Katoh K, Kuma K-I, Toh H, Miyata T. MAFFT version 5: improvement in accuracy of multiple sequence alignment. Nucleic Acids Res. 2005;33:511–8.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Katoh K, Toh H. PartTree: an algorithm to build an approximate tree from a large number of unaligned sequences. Bioinformatics. 2007;23:372–4.CAS 
PubMed 
Article 

Google Scholar 
Price MN, Dehal PS, Arkin AP. FastTree 2-approximately maximum-likelihood trees for large alignments. PLoS One. 2010;5:e9490.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. DADA2: high-resolution sample inference from Illumina amplicon data. Nat Methods. 2016;13:581–3.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
DeSantis TZ, Hugenholtz P, Larsen N, Rojas M, Brodie EL, Keller K, et al. Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol. 2006;72:5069–72.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Hosokawa T, Nikoh N, Koga R, Satô M, Tanahashi M, Meng X-Y, et al. Reductive genome evolution, host–symbiont co-speciation and uterine transmission of endosymbiotic bacteria in bat flies. ISME J. 2012;6:577–87.CAS 
PubMed 
Article 

Google Scholar 
Duron O, Schneppat UE, Berthomieu A, Goodman SM, Droz B, Paupy C, et al. Origin, acquisition and diversification of heritable bacterial endosymbionts in louse flies and bat flies. Mol Ecol. 2014;23:2105–17.PubMed 
Article 

Google Scholar 
Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2013;41:D590–6.CAS 
PubMed 
Article 

Google Scholar 
Yilmaz P, Parfrey LW, Yarza P, Gerken J, Pruesse E, Quast C, et al. The SILVA and “All-species Living Tree Project (LTP)” taxonomic frameworks. Nucleic Acids Res. 2014;42:D643–8.CAS 
PubMed 
Article 

Google Scholar 
Glöckner FO, Yilmaz P, Quast C, Gerken J, Beccati A, Ciuprina A, et al. 25 years of serving the community with ribosomal RNA gene reference databases and tools. J Biotechnol. 2017;261:169–76.PubMed 
Article 
CAS 

Google Scholar 
Nováková E, Hypsa V, Moran NA. Arsenophonus, an emerging clade of intracellular symbionts with a broad host distribution. BMC Microbiol. 2009;9:143.PubMed 
PubMed Central 
Article 

Google Scholar 
Bressan A, Terlizzi F, Credi R. Independent origins of vectored plant pathogenic bacteria from arthropod-associated Arsenophonus endosymbionts. Microb Ecol. 2012;63:628–38.PubMed 
Article 

Google Scholar 
Salter SJ, Cox MJ, Turek EM, Calus ST, Cookson WO, Moffatt MF, et al. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses. BMC Biol. 2014;12:87.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Weiss S, Amir A, Hyde ER, Metcalf JL, Song SJ, Knight R. Tracking down the sources of experimental contamination in microbiome studies. Genome Biol. 2014;15:564.PubMed 
PubMed Central 
Article 

Google Scholar 
Eisenhofer R, Minich JJ, Marotz C, Cooper A, Knight R, Weyrich LS. Contamination in low microbial biomass microbiome studies: Issues and recommendations. Trends Microbiol. 2019;27:105–17.CAS 
PubMed 
Article 

Google Scholar 
Davis NM, Proctor DM, Holmes SP, Relman DA, Callahan BJ. Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data. Microbiome. 2018;6:226.PubMed 
PubMed Central 
Article 

Google Scholar 
Bokulich NA, Subramanian S, Faith JJ, Gevers D, Gordon JI, Knight R, et al. Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing. Nat Methods. 2013;10:57–59.CAS 
PubMed 
Article 

Google Scholar 
Alberdi A, Aizpurua O, Gilbert MTP, Bohmann K. Scrutinizing key steps for reliable metabarcoding of environmental samples. Methods Ecol Evol. 2018;9:134–47.Article 

Google Scholar 
McMurdie PJ, Holmes S. Phyloseq: a bioconductor package for handling and analysis of high-throughput phylogenetic sequence data. Pac Symp Biocomput 2012; 235–46.McMurdie PJ, Holmes S. phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One. 2013;8:e61217.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Oksanen J, Blanchet FG, Friendly M, Kindt R, Legendre P, McGlinn D, et al. vegan: community ecology package. R package version 2.4–4. 2017. 2018.Wickham H. ggplot2: Elegant Graphics for Data Analysis. 2016. Springer.Fernandes AD, Reid JN, Macklaim JM, McMurrough TA, Edgell DR, Gloor GB. Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis. Microbiome. 2014;2:15.PubMed 
PubMed Central 
Article 

Google Scholar 
Gloor GB, Reid G. Compositional analysis: a valid approach to analyze microbiome high-throughput sequencing data. Can J Microbiol. 2016;62:692–703.CAS 
PubMed 
Article 

Google Scholar 
Tsilimigras MCB, Fodor AA. Compositional data analysis of the microbiome: fundamentals, tools, and challenges. Ann Epidemiol. 2016;26:330–5.PubMed 
Article 

Google Scholar 
Gloor GB, Macklaim JM, Pawlowsky-Glahn V, Egozcue JJ. Microbiome datasets are compositional: And this is not optional. Front Microbiol. 2017;8:2224.PubMed 
PubMed Central 
Article 

Google Scholar 
Silverman JD, Washburne AD, Mukherjee S, David LA. A phylogenetic transform enhances analysis of compositional microbiota data. Elife 2017;6.Xia Y, Sun J. Hypothesis testing and statistical analysis of microbiome. Genes Dis. 2017;4:138–48.PubMed 
PubMed Central 
Article 

Google Scholar 
Anderson MJ, Walsh DCI. PERMANOVA, ANOSIM, and the Mantel test in the face of heterogeneous dispersions: What null hypothesis are you testing? Ecol Monogr. 2013;83:557–74.Article 

Google Scholar 
Anderson MJ. Permutational Multivariate Analysis of Variance (PERMANOVA). In: Balakrishnan N, Colton T, Everitt B, Piegorsch W, Ruggeri F, Teugels JL (eds). Wiley StatsRef: Statistics Reference Online. 2014. John Wiley & Sons, Ltd, Chichester, UK, pp 1–15.Kurtz ZD, Müller CL, Miraldi ER, Littman DR, Blaser MJ, Bonneau RA. Sparse and compositionally robust inference of microbial ecological networks. PLoS Comput Biol. 2015;11:e1004226.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Liu H, Roeder K, Wasserman L. Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models. Adv Neural Inf Process Syst. 2010;24:1432–40.PubMed 
PubMed Central 

Google Scholar 
Röttjers L, Faust K. From hairballs to hypotheses-biological insights from microbial networks. FEMS Microbiol Rev. 2018;42:761–80.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Freeman LC. Centrality in social networks conceptual clarification. Soc Networks. 1978;1:215–39.Article 

Google Scholar 
Brandes U. A faster algorithm for betweenness centrality. J Math Sociol. 2001;25:163–77.Article 

Google Scholar 
Csardi G, Nepusz T. The igraph software package for complex network research. InterJournal. Complex Systems. 2006;1695:1–9.
Google Scholar 
Newman MEJ. Finding community structure in networks using the eigenvectors of matrices. Phys Rev E Stat Nonlin Soft Matter Phys. 2006;74:036104.CAS 
PubMed 
Article 

Google Scholar 
Delmas E, Besson M, Brice M-H, Burkle LA, Dalla Riva GV, Fortin M-J, et al. Analysing ecological networks of species interactions: Analyzing ecological networks. Biol Rev. 2019;94:16–36.Article 

Google Scholar 
Fortunato S, Hric D. Community detection in networks: A user guide. arXiv [physics.soc-ph]. 2016.Singh A, Humphries MD. Finding communities in sparse networks. Sci Rep. 2015;5:8828.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Yaveroğlu ÖN, Malod-Dognin N, Davis D, Levnajic Z, Janjic V, Karapandza R, et al. Revealing the hidden language of complex networks. Sci Rep. 2014;4:4547.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Przulj N. Biological network comparison using graphlet degree distribution. Bioinformatics. 2007;23:e177–83.CAS 
PubMed 
Article 

Google Scholar 
Hočevar T, Demšar J. Computation of graphlet orbits for nodes and edges in sparse graphs. J Stat Softw 2016;71.Müller CL, Bonneau R, Kurtz Z. Generalized stability approach for regularized graphical models. arXiv [statME]. 2016.Mahana D, Trent CM, Kurtz ZD, Bokulich NA, Battaglia T, Chung J, et al. Antibiotic perturbation of the murine gut microbiome enhances the adiposity, insulin resistance, and liver disease associated with high-fat diet. Genome Med. 2016;8:48.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Ruiz VE, Battaglia T, Kurtz ZD, Bijnens L, Ou A, Engstrand I, et al. A single early-in-life macrolide course has lasting effects on murine microbial network topology and immunity. Nat Commun. 2017;8:518.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Amato KR, Yeoman CJ, Kent A, Righini N, Carbonero F, Estrada A, et al. Habitat degradation impacts black howler monkey (Alouatta pigra) gastrointestinal microbiomes. ISME J. 2013;7:1344–53.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Avena CV, Parfrey LW, Leff JW, Archer HM, Frick WF, Langwig KE, et al. Deconstructing the bat skin microbiome: Influences of the host and the environment. Front Microbiol. 2016;7:1753.PubMed 
PubMed Central 
Article 

Google Scholar 
Becker CG, Longo AV, Haddad CFB, Zamudio KR. Land cover and forest connectivity alter the interactions among host, pathogen and skin microbiome. Proc Biol Sci 2017;284.Ingala MR, Becker DJ, Bak Holm J, Kristiansen K, Simmons NB. Habitat fragmentation is associated with dietary shifts and microbiota variability in common vampire bats. Ecol Evol. 2019;9:6508–23.PubMed 
PubMed Central 
Article 

Google Scholar 
Aksoy E, Telleria EL, Echodu R, Wu Y, Okedi LM, Weiss BL, et al. Analysis of multiple tsetse fly populations in Uganda reveals limited diversity and species-specific gut microbiota. Appl Environ Microbiol. 2014;80:4301–12.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Mello RM, Laurindo RS, Silva LC, Pyles MV, Mancini MCS, Dáttilo W, et al. Landscape configuration and composition shape mutualistic and antagonistic interactions among plants, bats, and ectoparasites in human-dominated tropical rainforests. Acta Oecol. 2021;112:103769.Article 

Google Scholar 
Cirimotich CM, Ramirez JL, Dimopoulos G. Native microbiota shape insect vector competence for human pathogens. Cell Host Microbe. 2011;10:307–10.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Sassera D, Epis S, Pajoro M, Bandi C. Microbial symbiosis and the control of vector-borne pathogens in tsetse flies, human lice, and triatomine bugs. Pathog Glob Health. 2013;107:285–92.PubMed 
PubMed Central 
Article 

Google Scholar 
Weiss BL, Wang J, Maltz MA, Wu Y, Aksoy S. Trypanosome infection establishment in the tsetse fly gut is influenced by microbiome-regulated host immune barriers. PLoS Pathog. 2013;9:e1003318.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Obame-Nkoghe J, Rahola N, Bourgarel M, Yangari P, Prugnolle F, Maganga GD, et al. Bat flies (Diptera: Nycteribiidae and Streblidae) infesting cave-dwelling bats in Gabon: diversity, dynamics and potential role in Polychromophilus melanipherus transmission. Parasit Vectors. 2016;9:333.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Krause AE, Frank KA, Mason DM, Ulanowicz RE, Taylor WW. Compartments revealed in food-web structure. Nature. 2003;426:282–5.CAS 
PubMed 
Article 

Google Scholar 
Stouffer DB, Bascompte J. Understanding food-web persistence from local to global scales. Ecol Lett. 2010;13:154–61.PubMed 
Article 

Google Scholar 
Trowbridge RE, Dittmar K, Whiting MF. Identification and phylogenetic analysis of Arsenophonus- and Photorhabdus-type bacteria from adult Hippoboscidae and Streblidae (Hippoboscoidea). J Invertebr Pathol. 2006;91:64–68.PubMed 
Article 

Google Scholar 
Morse SF, Bush SE, Patterson BD, Dick CW, Gruwell ME, Dittmar K. Evolution, multiple acquisition, and localization of endosymbionts in bat flies (Diptera: Hippoboscoidea: Streblidae and Nycteribiidae). Appl Environ Microbiol. 2013;79:2952–61.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Wilkinson DA, Duron O, Cordonin C, Gomard Y, Ramasindrazana B, Mavingui P, et al. The bacteriome of bat flies (Nycteribiidae) from the Malagasy Region: a community shaped by host ecology, bacterial transmission mode, and host-vector specificity. Appl Environ Microbiol. 2016;82:1778–88.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Graciolli G, Dick CW. Checklist of World Nycteribiidae (Diptera: Hippoboscoidea). https://www.researchgate.net/publication/322579074_CHECKLIST_OF_WORLD_NYCTERIBIIDAE_DIPTERA_HIPPOBOSCOIDEA.Graciolli G, Dick CW. Checklist of World Streblidae (Diptera: Hippoboscoidea). https://www.researchgate.net/publication/322578987_CHECKLIST_OF_WORLD_STREBLIDAE_DIPTERA_HIPPOBOSCOIDEA.Breitschwerdt EB, Kordick DL. Bartonella infection in animals: carriership, reservoir potential, pathogenicity, and zoonotic potential for human infection. Clin Microbiol Rev. 2000;13:428–38.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Jiggins FM. Male-killing Wolbachia and mitochondrial DNA: selective sweeps, hybrid introgression and parasite population dynamics. Genetics. 2003;164:5–12.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Hosokawa T, Koga R, Kikuchi Y, Meng X-Y, Fukatsu T. Wolbachia as a bacteriocyte-associated nutritional mutualist. Proc Natl Acad Sci USA. 2010;107:769–74.CAS 
PubMed 
Article 

Google Scholar 
Lack JB, Nichols RD, Wilson GM, Van Den Bussche RA. Genetic signature of reproductive manipulation in the phylogeography of the bat fly, Trichobius major. J Hered. 2011;102:705–18.CAS 
PubMed 
Article 

Google Scholar 
Morse SF, Olival KJ, Kosoy M, Billeter S, Patterson BD, Dick CW, et al. Global distribution and genetic diversity of Bartonella in bat flies (Hippoboscoidea, Streblidae, Nycteribiidae). Infect Genet Evol. 2012;12:1717–23.PubMed 
Article 

Google Scholar 
Nikoh N, Hosokawa T, Moriyama M, Oshima K, Hattori M, Fukatsu T. Evolutionary origin of insect-Wolbachia nutritional mutualism. Proc Natl Acad Sci USA. 2014;111:10257–62.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Stuckey MJ, Chomel BB, de Fleurieu EC, Aguilar-Setién A, Boulouis H-J, Chang C-C. Bartonella, bats and bugs: A review. Comp Immunol Microbiol Infect Dis. 2017;55:20–29.PubMed 
Article 

Google Scholar 
Gibson CM, Hunter MS. Extraordinarily widespread and fantastically complex: comparative biology of endosymbiotic bacterial and fungal mutualists of insects. Ecol Lett. 2010;13:223–34.PubMed 
Article 

Google Scholar  More

Forest Advanced Computing and Artificial Intelligence Laboratory (FACAI), Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USAJingjing Liang, Mo Zhou & Akane O. AbbasiForestry Division, Food and Agriculture Organization of the United Nations, Rome, ItalyJavier G. P. Gamarra & Antonello SalisGIP ECOFOR, Paris, FranceNicolas PicardDepartment of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USABryan Pijanowski, Douglass F. Jacobs & Minjee ParkInstitute for Global Change Biology, School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USAPeter B. ReichDepartment of Forest Resources, University of Minnesota, St. Paul, MN, USAPeter B. ReichHawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, AustraliaPeter B. ReichCrowther Lab, Department of Environmental Systems Science, Institute of Integrative Biology, ETH Zürich, Zürich, SwitzerlandThomas W. CrowtherWageningen Environmental Research, Wageningen University and Research, Wageningen, NetherlandsGert-Jan NabuursForest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, NetherlandsGert-Jan Nabuurs, Frans Bongers, Mathieu Decuyper, Marc Parren, Lourens Poorter & Douglas SheilDepartment of Crop and Forest Sciences, University of Lleida, Lleida, SpainSergio de-MiguelJoint Research Unit CTFC—Agrotecnio—CERCA, Solsona, SpainSergio de-Miguel & Albert MoreraInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Evironmental Sciences, Peking University, Beijing, ChinaJingyun FangNorthern Research Station, USDA Forest Service, Durham, NH, USAChristopher W. WoodallCenter for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus C, DenmarkJens-Christian SvenningSection for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus C, DenmarkJens-Christian SvenningSchool of Biological Sciences, University of Bristol, Bristol, UKTommaso JuckerTERRA Teaching and Research Centre, Gembloux Agro Bio-Tech, University of Liege, Gembloux, BelgiumJean-Francois BastinManaaki Whenua Landcare Research, Lincoln, New ZealandSusan K. WiserEnvironmental and Life Sciences, Faculty of Science, Universiti Brunei Darussalam, Gadong, Brunei DarussalamFerry SlikCentre de Coopération Internationale en Recherche Agronomique pour le Développement, Montpellier, FranceBruno HéraultINP-HB (Institut National Polytechnique Félix Houphouet-Boigny), University of Montpellier, Yamoussoukro, Ivory CoastBruno HéraultDepartment of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, ItalyGiorgio AlbertiFaculty of Science and Technology, Free University of Bolzano, Bolzano, ItalyGiorgio AlbertiInstitute of Bioeconomy, CNR, Sesto, ItalyGiorgio AlbertiNatural and Built Environments Research Centre, School of Natural and Built Environments, University of South Australia, Adelaide, South Australia, AustraliaGunnar KeppelBiometris, Wageningen University and Research, Wageningen, NetherlandsGeerten M. HengeveldWageningen University & Research, Forest and Nature Conservation Policy Group, Wageningen, NetherlandsGeerten M. HengeveldCentre for Econics and Ecosystem Management, Eberswalde University for Sustainable Development, Eberswalde, GermanyPierre L. IbischSchool of Forest, Fisheries, and Geomatics Sciences, Institute of Food & Agricultural Sciences, University of Florida, Gainesville, FL, USACarlos A. Silva, Eben N. Broadbent & Carine KlaubergNaturalis Biodiversity Center, Leiden, NetherlandsHans ter SteegeInstituto Nacional de Tecnología Agropecuaria (INTA), Santa Cruz, ArgentinaPablo L. PeriDepartment of Plant Sciences, University of Cambridge, Cambridge, UKDavid A. CoomesFaculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, CanadaEric B. Searle & Han Y. H. ChenUniversity of Göttingen, Göttingen, GermanyKlaus von GadowBeijing Forestry University, Beijing, ChinaKlaus von GadowUniversity of Stellenbosch, Stellenbosch, South AfricaKlaus von GadowBiałowieża Geobotanical Station, Faculty of Biology, University of Warsaw, Białowieża, PolandBogdan JaroszewiczSwiss National Forest Inventory/Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, SwitzerlandMeinrad AbeggUFR Biosciences, University Félix Houphouët-Boigny, Abidjan, Ivory CoastYves C. Adou Yao & Anny E. N’GuessanEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UKJesús Aguirre-GutiérrezBiodiversity Dynamics, Naturalis Biodiversity Center, Leiden, NetherlandsJesús Aguirre-GutiérrezCenter for Latin American Studies, University of Florida, Gainesville, FL, USAAngelica M. Almeyda ZambranoInstitute of Botany, Academy of Sciences of the Czech Republic, Trebon, Czech RepublicJan Altman & Jiri DolezalFaculty of Forestry and Wood Sciences, Czech University of Life Sciences in Prague, Praha-Suchdol, Czech RepublicJan Altman & Miroslav SvobodaEscuela ECAPMA, National Open University and Distance (Colombia) | UNAD, Bogotá, ColombiaEsteban Alvarez-DávilaDepartamento de Ingeniería Agroforestal, Universidad de Santiago de Compostela, Lugo, SpainJuan Gabriel Álvarez-GonzálezCenter for Tropical Research, Institute of the Environment and Sustainability, University of California, Los Angeles, CA, USALuciana F. AlvesUniversité Jean Lorougnon Guédé, Daloa, Ivory CoastBienvenu H. K. AmaniUniversité Officielle de Bukavu, Bukavu, Democratic Republic of CongoChristian A. AmaniSilviculture and Forest Ecology of the Temperate Zones, University of Göttingen, Goettingen, GermanyChristian Ammer & Peter SchallInstitut National pour l’Etude et la Recherche Agronomiques, Kinshasa, Democratic Republic of CongoBhely Angoboy IlondeaNorwegian Institute of Bioeconomy Research (NIBIO), Division of Forestry and Forest Resources, Ås, NorwayClara Antón-FernándezEuropean Commission, Joint Research Centre, Ispra, ItalyValerio AvitabileCompensation International Progress S.A., Bogotá, ColombiaGerardo A. AymardLaboratory of Applied Ecology, University of Abomey-Calavi, Cotonou, BeninAkomian F. AzihouScientific Services, South African National Parks, Knysna, South AfricaJohan A. Baard & Graham P. DurrheimSchool of Geography, University of Leeds, Leeds, UKTimothy R. Baker, Simon L. Lewis & Oliver L. PhillipsDepartment of Geomatics, Forest Research Institute, Sekocin Stary, Raszyn, PolandRadomir Balazy & Krzysztof J. StereńczakProceedings of the National Academy of Sciences, Washington, DC, USAMeredith L. BastianDepartment of Evolutionary Anthropology, Duke University, Durham, NC, USAMeredith L. BastianDepartment of Environment, Universtité du Cinquantenaire de Lwiro, Bukavu, Democratic Republic of CongoRodrigue BatumikeDepartment of Environment, Ghent University, Ghent, BelgiumMarijn BautersDepartment of Green Chemistry and Technology, Ghent University, Ghent, BelgiumMarijn Bauters & Pascal BoeckxService of Wood Biology, Royal Museum for Central Africa, Tervuren, BelgiumHans Beeckman, Thales de Haulleville & Wannes HubauBalai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan, Manokwari, IndonesiaNithanel Mikael Hendrik Benu & Relawan KuswandiInstitute of Tropical Forest Conservation, Mbarara University of Science and Technology, Mbarara, UgandaRobert BitarihoUniversité de Liège, Gembloux Agro-Bio Tech, Gembloux, BelgiumJan Bogaert & Thales de HaullevilleIntegrated Center for Research, Development and Innovation in Advanced Materials, Nanotechnologies, and Distributed Systems for Fabrication and Control (MANSiD), University Stefan cel Mare of Suceava, Suceava, RomaniaOlivier BouriaudDepartment of Forestry Sciences, ‘Luiz de Queiroz’ College of Agriculture, University of São Paulo, Piracicaba, BrazilPedro H. S. Brancalion, Ricardo G. César & Vanessa S. MorenoBavarian State Institute of Forestry, Freising, GermanySusanne BrandlDepartment of Natural Sciences, Manchester Metropolitan University, Manchester, UKFrancis Q. Brearley, Giacomo Sellan & Martin J. P. SullivanFacultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Durango, MexicoJaime Briseno-Reyes, José Javier Corral-Rivas & Daniel José Vega-NievaInstitute of Biology and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle (Saale), GermanyHelge BruelheideGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, GermanyHelge BruelheideDevelopment Economics Group, Wageningen University, Wageningen, NetherlandsErwin BulteRosen Center for Advanced Computing (RCAC), Purdue University, West Lafayette, IN, USAAnn Christine Catlin, Lev Gorenstein, Geoffrey Lentner & Xiao ZhuDepartment of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Bologna, ItalyRoberto Cazzolla GattiInstitute of Integrative Biology, ETH Zürich, Zürich, SwitzerlandChelsea ChisholmIFER – Institute of Forest Ecosystem Research, Jilove u Prahy, Czech RepublicEmil CiencialaGlobal Change Research Institute of the CAS, Brno, Czech RepublicEmil CiencialaPrograma de Pós-graduação em Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Campinas CEP, Biologia, BrazilGabriel D. CollettaDirección Nacional de Bosques (DNB), Ministerio de Ambiente y Desarrollo Sostenible (MAyDS), Ciudad Autónoma de Buenos Aires, Buenos Aires, ArgentinaAnibal CuchiettiDepartment of International Environment and Development Studies (Noragric), Faculty of Landscape and Society, Norwegian University of Life Sciences (NMBU), Ås, NorwayAida Cuni-SanchezDepartment of Environment and Geography, University of York, York, UKAida Cuni-SanchezDepartment of Environmental Science, School of Engineering and Sciences, SRM University-AP, Guntur, IndiaJavid A. DarDepartment of Botany, Dr. Harisingh Gour Vishwavidyalaya (A Central University), Madhya Pradesh, IndiaJavid A. Dar & Subashree KothandaramanDepartment of Ecology and Environmental Sciences, Pondicherry University, Puducherry, IndiaJavid A. Dar, Subashree Kothandaraman, Narayanaswamy Parthasarathy & Somaiah SundarapandianCentre for Structural and Functional Genomics & Quebec Centre for Biodiversity Science, Biology Department, Concordia University, Montreal, Quebec, CanadaSelvadurai DayanandanDepartment of Ecology, Faculty of Science, Charles University, Prague, Czech RepublicSylvain Delabye, Stepan Janecek, Yannick Klomberg, Vincent Maicher & Robert TropekBiology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech RepublicSylvain Delabye, Tom M. Fayle, Vincent Maicher & Robert TropekCirad, UMR EcoFoG (AgroParistech, CNRS, Inrae, Université des Antilles, Université de la Guyane), Campus Agronomique, Kourou, French GuianaGéraldine Derroire, Aurélie Dourdain & Eric MarconDepartment of Geography, Environment and Geomatics, University of Guelph, Guelph, Ontario, CanadaBen DeVriesNational Forest Authority, Kampala, UgandaJohn DiisiDepartment of Silviculture Foundation, Silviculture Research Institute, Vietnamese Academy of Forest Sciences, Hanoi, VietnamTran Van DoDepartment of Botany, Faculty of Science, University of South Bohemia, Bohemia, Czech RepublicJiri DolezalIPHAMETRA, IRET, CENAREST, Libreville, GabonNestor Laurier Engone ObiangFaculté de Gestion de Ressources Naturelles Renouvelables, Université de Kisangani, Kisangani, Democratic Republic of CongoCorneille E. N. Ewango, Faustin M. Mbayu & Eric Katembo WasingyaQueensland Herbarium, Department of Environment and Science, Toowong, Queensland, AustraliaTeresa J. Eyre, Victor J. Neldner & Michael R. NgugiSchool of Biological and Behavioural Sciences, Queen Mary University of London, London, UKTom M. FayleDepartment of Plant Biology, Faculty of Science, University of Yaoundé I, Yaoundé, CameroonLethicia Flavine N. Feunang, Banoho L. P. R. Kabelong, Moses B. Libalah, Louis N. Nforbelie, Emile Narcisse N. Njila & Melanie C. NyakoNatural Resources Institute Finland, Joensuu, FinlandLeena FinérInstitute of Plant Sciences, University of Bern, Bern, SwitzerlandMarkus FischerDepartment of Forest Resource Management, Swedish University of Agricultural Sciences, Umea, SwedenJonas Fridman & Bertil WesterlundResearch and Innovation Centre, Fondazione Edmund Mach, San Michele all’Adige, ItalyLorenzo Frizzera, Damiano Gianelle & Mirco RodeghieroHerbário Dr. Roberto Miguel Klein, Universidade Regional de Blumenau, Blumenau, BrazilAndré L. de GasperGlick Designs, LLC, Hadley, MA, USAHenry B. GlickCIIDIR Durango, Instituto Politécnico Nacional, Durango, MexicoMaria Socorro Gonzalez-ElizondoDépartement des Sciences et Technologies de l’Environnement, Université du Burundi, Bujumbura, BurundiRichard HabonayoFaculté des Sciences, Evolutionary Biology and Ecology Unit, Université Libre de Bruxelles, Brussels, BelgiumOlivier J. HardyRoyal Botanic Garden Edinburgh, Edinburgh, UKDavid J. Harris & Axel Dalberg PoulsenDepartment of Plant Sciences, University of Oxford, Oxford, UKAndrew HectorDepartment of Plant Systematics, Bayreuth University, Bayreuth, GermanyAndreas HempHelmholtz GFZ German Research Centre for Geosciences, Section 1.4 Remote Sensing and Geoinformatics, Potsdam, GermanyMartin HeroldWild Chimpanzee Foundation, Liberia Representation, Monrovia, LiberiaAnnika HillersCentre for Conservation Science, The Royal Society for the Protection of Birds, Sandy, UKAnnika HillersDepartment of Environment, Laboratory for Wood Technology (UGent-Woodlab), Ghent University, Ghent, BelgiumWannes HubauAMAP, University of Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, FranceThomas IbanezDepartment of Forest Science, Tokyo University of Agriculture, Tokyo, JapanNobuo ImaiBiology Department, Université Officielle de Bukavu, Bukavu, Democratic Republic of CongoGerard ImaniInstitute of Dendrology, Polish Academy of Sciences, Kórnik, PolandAndrzej M. Jagodzinski & Jacek OleksynPoznan University of Life Sciences, Faculty of Forestry and Wood Technology, Department of Game Management and Forest Protection, Poznan, PolandAndrzej M. JagodzinskiDepartment of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, DenmarkVivian Kvist Johannsen & Sebastian Kepfer-RojasPlant Biology Department, Biology Institute, University of Campinas (UNICAMP), Campinas, BrazilCarlos A. JolyDepartment of Botany and Plant Pathology, Purdue University, West Lafayette, IN, USABlaise JumbamInstitute of Agricultural Research for Development (IRAD), Nkolbisson, Ministry of Scientific Research and Innovation, Yaounde, CameroonBlaise JumbamDepartment of Food and Resource Economics, University of Copenhagen, Copenhagen, DenmarkGoytom Abraha KahsayForestry Faculty, Bauman Moscow State Technical University, Mytischi, RussiaViktor Karminov & Olga MartynenkoIntegrative Research Center, The Field Museum, Chicago, IL, USAKuswata KartawinataLabo Botanique, Université Félix Houphouët-Boigny, Abidjan, Ivory CoastJustin N. KassiComputational and Applied Vegetation Ecology Lab, Ghent University, Ghent, BelgiumElizabeth Kearsley & Hans VerbeeckDepartment of Physical and Environmental Sciences, Colorado Mesa University, Grand Junction, CO, USADeborah K. KennardDepartment of Botany, Dr. Harisingh Gour Vishwavidalaya (A Central University), Sagar, IndiaMohammed Latif KhanKenya Forestry Research Institute, Department of Forest Resource Assessment, Nairobi, KenyaJohn N. KigomoDepartment of Forest Sciences, Seoul National University, Seoul, Republic of KoreaHyun Seok KimInterdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University, Seoul, Republic of KoreaHyun Seok KimNational Center for Agro Meteorology, Seoul, Republic of KoreaHyun Seok KimResearch Institute for Agriculture and Life Sciences, Seoul National University, Seoul, Republic of KoreaHyun Seok KimInstitute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, EstoniaHenn Korjus & Mait LangInternational Institute for Applied Systems Analysis, Laxenburg, AustriaFlorian Kraxner, Dmitry Schepaschenko & Anatoly Z. ShvidenkoDepartment of Geoinformatics, Central University of Jharkhand, Ranchi, IndiaAmit KumarTartu Observatory, University of Tartu, Tõravere, EstoniaMait LangSchool of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South AfricaMichael J. LawesDepartment of Forest Engineering, Federal University of Viçosa (UFV), Viçosa, BrazilRodrigo V. LeiteDepartment of Geography, University College London, London, UKSimon L. LewisPlant Systematics and Ecology Laboratory (LaBosystE), Higher Teacher’s Training College, University of Yaoundé I, Yaoundé, CameroonMoses B. LibalahLaboratoire d’Écologie et Aménagement Forestier, Département d’Ecologie et de Gestion des Ressources Végétales, Université de Kisangani, Kisangani, Democratic Republic of CongoJanvier LisingoInstituto de Silvicultura e Industria de la Madera, Universidad Juarez del Estado de Durango, Durango, MexicoPablito Marcelo López-Serrano & Maria Guadalupe Nava-MirandaFaculty of Forestry, Qingdao Agricultural University, Qingdao, ChinaHuicui LuCenter for Forest Ecology and Productivity RAS (CEPF RAS), Moscow, RussiaNatalia V. LukinaDepartment of Ecoscience, Aarhus University, Silkeborg, DenmarkAnne Mette LykkeNicholas School of the Environment, Duke University, Durham, NC, USAVincent Maicher & John R. PoulsenDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USABrian S. MaitnerAgroParisTech, UMR AMAP, University of Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, FranceEric MarconUniversity of the Sunshine Coast, Sippy Downs, Queensland, AustraliaAndrew R. MarshallUniversity of York, York, UKAndrew R. MarshallFlamingo Land Ltd., North Yorkshire, UKAndrew R. MarshallDepartment of Wildlife Management, College of African Wildlife Management, Mweka, TanzaniaEmanuel H. MartinKenya Forestry Research Institute, Headquarters, Nairobi, KenyaMusingo T. E. MbuviDepartamento de Ecología y Recursos Naturales, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, MexicoJorge A. MeaveEcology and Evolutionary Biology, University of Connecticut, Storrs, CT, USACory MerowDepartment of Forest Management and Forest Economics, Warsaw University of Life Sciences, Warsaw, PolandStanislaw MiscickiTropical Forests and People Research Centre, University of the Sunshine Coast, Maroochydore DC, Queensland, AustraliaSharif A. Mukul & Alain S. K. NguteFieldstation Fabrikschleichach, Julius-Maximilians University Würzburg, Würzburg, GermanyJörg C. MüllerBavarian Forest Nationalpark, Grafenau, GermanyJörg C. MüllerFakultas Kehutanan, Universitas Papua, Jalan Gunung Salju Amban, Manokwari Papua Barat, IndonesiaAgustinus MurdjokoLimbe Botanic Garden, Limbe, CameroonLitonga Elias NdiveInstitute of Forestry, Belgrade, SerbiaRadovan V. NevenicTropical Plant Exploration Group (TroPEG), Buea, CameroonMichael L. Ngoh & Moses Nsanyi SaingeDepartment of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN, USAMichael L. NgohApplied Biology and Ecology Research Unit, University of Dschang, Dschang, CameroonAlain S. K. NguteDepartment of Forestry and Natural Resources, University of Kentucky, Lexington, KY, USAThomas O. OchuodhoUQAM, Centre for Forest Research, Montreal, Quebec, CanadaAlain PaquetteV.N. Sukachev Forest Institute of FRC KSC SB RAS, Krasnoyarsk, RussiaElena I. Parfenova, Dmitry Schepaschenko & Nadja TchebakovaUrban Management and Planning, School of Social Sciences, Western Sydney University, Penrith, New South Wales, AustraliaSebastian PfautschInstituto Nacional de Pesquisas da Amazônia—INPA, Grupo Ecologia. Monitoramento e Uso Sustentável de Áreas Úmidas MAUA, Manaus, BrazilMaria T. F. Piedade, Jochen Schöngart & Natalia TarghettaCentro de Formação em Ciências Agroflorestais, Universidade Federal do Sul da Bahia, Ilhéus, BrazilDaniel Piotto & Samir G. RolimDepartment of Agriculture, Food, Environment and Forestry, University of Firenze, Firenze, ItalyMartina Pollastrini & Federico SelviTechnical University of Munich, School of Life Sciences Weihenstephan, Chair of Forest Growth and Yield Science, Munich, GermanyHans PretzschCentro Agricoltura, Alimenti, Ambiente, University of Trento, San Michele all’Adige, ItalyMirco RodeghieroDepartment of Biology, University of Florence, Sesto Fiorentino, ItalyFrancesco RoveroMUSE—Museo delle Scienze, Trento, ItalyFrancesco RoveroInfoflora c/o Botanical Garden of Geneva, Geneva, SwitzerlandErvan RutishauserAgricultural Research, Education and Extension Organization (AREEO), Research Institute of Forests and Rangelands (RIFR), Tehran, IranKhosro Sagheb-TalebiDepartment of Environmental Sciences, Central University of Jharkhand, Ranchi, IndiaPurabi SaikiaInstitute of International Education Scholar Rescue Fund (IIE-SRF), One World Trade Center, New York, NY, USAMoses Nsanyi SaingeCentro de Modelación y Monitoreo de Ecosistemas, Facultad de Ciencias, Universidad Mayor, Santiago, ChileChristian Salas-EljatibVicerrectoría de Investigación y Postgrado, Universidad de La Frontera, Temuco, ChileChristian Salas-EljatibDepartamento de Silvicultura y Conservación de la Naturaleza, Universidad de Chile, Santiago, ChileChristian Salas-EljatibРeoples Friendship University of Russia (RUDN University), Moscow, RussiaDmitry SchepaschenkoUniversity of Freiburg, Faculty of Biology, Freiburg, GermanyMichael Scherer-LorenzenInstitution with City, Department of Geography, University of Zurich, Zurich, SwitzerlandBernhard SchmidNational Forest Centre, Zvolen, Slovak RepublicVladimír ŠebeňCNRS-UMR LEEISA, Campus Agronomique, Kourou, French GuianaGiacomo SellanUniversite de Lorraine, AgroParisTech, INRA, Nancy, FranceJosep M. Serra-DiazCenter for International Forestry Research (CIFOR), Situ Gede, Bogor Barat, IndonesiaDouglas SheilCirad, University of Montpellier, Montpellier, FrancePlinio SistUniversidade Federal do Rio Grande do Norte, Departamento de Ecologia, Natal, BrazilAlexandre F. SouzaSchool of Biological Sciences, University of Aberdeen, Aberdeen, UKMike D. SwaineHerbarium Kew, Royal Botanic Gardens Kew, London, UKLiam A. TrethowanFaculté des Sciences Appliquées, Université de Mbujimayi, Mbujimayi, Democratic Republic of CongoJohn Tshibamba MukendiYale School of Forestry and Environmental Studies, New Haven, CT, USAPeter Mbanda UmunayUral State Forest Engineering University, Botanical Garden, Ural Branch of the Russian Academy of Sciences, Yekaterinburg, RussiaVladimir A. UsoltsevDIBAF Department, Tuscia University, Viterbo, ItalyGaia Vaglio Laurin & Riccardo ValentiniLINCGlobal, MNCN, CSIC, Madrid, SpainFernando ValladaresPlant Ecology and Nature Conservation Group, Wageningen University, AA Wageningen, NetherlandsFons van der PlasAgricultural High School, ESAV, Polytechnic Institute of Viseu, IPV, Viseu, PortugalHelder VianaCentre for the Research and Technology of Agro-Environmental and Biological Sciences, CITAB, UTAD, Quinta de Prados, Vila Real, PortugalHelder VianaDepartment of Forest Engineering, Universidade Regional de Blumenau, Blumenau, BrazilAlexander C. VibransNucleo de Estudos e Pesquisas Ambientais, Universidade Estadual de Campinas, Campinas (UNICAMP), SP, Campinas, BrazilSimone A. VieiraInternational Center for Tropical Botany, Department of Biological Sciences, Florida International University, Miami, FL, USAJason VleminckxForest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, AustraliaCatherine E. WaiteSanya Nanfan Research Institute, Hainan Yazhou Bay Seed Laboratory, Hainan University, Sanya, ChinaHua-Feng Wang & Zhi-Xin ZhuKenya Forestry Research Institute, Taita Taveta Research Centre, Wundanyi, KenyaChemuku WekesaDepartment of Wetland Ecology, Institute for Geography and Geoecology, Karlsruhe Institute for Technology, Rastatt, GermanyFlorian WittmannDepartment of Forest Management, Centre for Agricultural Research in Suriname, Paramaribo, SurinameVerginia WortelPolish State Forests-Coordination Centre for Environmental Projects, Warsaw, PolandTomasz Zawiła-NiedźwieckiResearch Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, ChinaChunyu Zhang & Xiuhai ZhaoDepartment of Statistics, University of Wisconsin–Madison, Madison, WI, USAJun ZhuInstitut National Polytechnique Félix Houphouët-Boigny, DFR Eaux, Forêts et Environnement, BP, Yamoussoukro, Ivory CoastIrie C. Zo-BiCentre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Matieland, South AfricaCang HuiAfrican Institute for Mathematical Sciences, Muizenberg, South AfricaCang HuiConceptualization: J. Liang and C.H. Methodology: J. Liang, C.H., J.G.P.G. and N. Picard. Data coordination: J. Liang, M.Z., S.d.-M., T.W.C., G.-J.N., P.B.R., F. Slik, K.v.G., J.G.P.G. and N. Picard. Writing, revision and editing: all. More

Pörtner, H. O. et al. Climate Change 2022: Impacts, Adaptation and Vulnerability (IPCC, 2022).Patz, J. A., Campbell-Lendrum, D., Holloway, T. & Foley, J. A. Impact of regional climate change on human health. Nature 438, 310–317 (2005).CAS 
Article 

Google Scholar 
Smith, K. et al. in Climate Change 2014: Impacts, Adaptation, and Vulnerability (eds Field, C. B. et al.) 709–754 (Cambridge Univ. Press, 2014).Mora, C. et al. Broad threat to humanity from cumulative climate hazards intensified by greenhouse gas emissions. Nat. Clim. Change 8, 1062–1071 (2018).CAS 
Article 

Google Scholar 
Altizer, S., Ostfeld, R. S., Johnson, P. T., Kutz, S. & Harvell, C. D. Climate change and infectious diseases: from evidence to a predictive framework. Science 341, 514–519 (2013).CAS 
Article 

Google Scholar 
Epstein, P. The ecology of climate change and infectious diseases: comment. Ecology 91, 925–928 (2010).Article 

Google Scholar 
IPCC Climate Change 2014: Synthesis Report (eds Core Writing Team, Pachauri, R. K. & Meyer, L. A.) (IPCC, 2014).Jaenisch, T. & Patz, J. Assessment of associations between climate and infectious diseases: a comparison of the reports of the Intergovernmental Panel on Climate Change (IPCC), the National Research Council (NRC), and United States Global Change Research Program (USGCRP). Glob. Change Hum. Health 3, 67–72 (2002).Article 

Google Scholar 
Hellberg, R. S. & Chu, E. Effects of climate change on the persistence and dispersal of foodborne bacterial pathogens in the outdoor environment: a review. Crit. Rev. Microbiol. 42, 548–572 (2016).Article 

Google Scholar 
Tabachnick, W. J. Climate change and the arboviruses: lessons from the evolution of the dengue and yellow fever viruses. Ann. Rev. Virol 29, 125–145 (2016).Article 
CAS 

Google Scholar 
Khasnis, A. A. & Nettleman, M. D. Global warming and infectious disease. Arch. Med. Res. 36, 689–696 (2005).Article 

Google Scholar 
McMichael, A. J. Extreme weather events and infectious disease outbreaks. Virulence 6, 543–547 (2015).Article 

Google Scholar 
Ahern, M., Kovats, R. S., Wilkinson, P., Few, R. & Matthies, F. Global health impacts of floods: epidemiologic evidence. Epidemiol. Rev. 27, 36–46 (2005).Article 

Google Scholar 
Hunter, P. R. Climate change and waterborne and vector‐borne disease. J. Appl. Microbiol. 94, 37–46 (2003).Article 

Google Scholar 
Gage, K. L., Burkot, T. R., Eisen, R. J. & Hayes, E. B. Climate and vector borne diseases. Am. J. Prev. Med. 35, 436–450 (2008).Article 

Google Scholar 
Semenza, J. C. et al. Climate change impact assessment of food- and waterborne diseases. Crit. Rev. Environ. Sci. Technol. 42, 857–890 (2012).Article 

Google Scholar 
Nichols, G., Lake, I. & Heaviside, C. Climate change and water-related infectious diseases. Atmosphere 9, 385 (2018).Article 

Google Scholar 
Cunliffe, J. A proliferation of pathogens through the 20th century. Scand. J. Immunol. 68, 120–128 (2008).CAS 
Article 

Google Scholar 
Cecchi, L. et al. Projections of the effects of climate change on allergic asthma: the contribution of aerobiology. Allergy 65, 1073–1081 (2010).CAS 

Google Scholar 
Demain, J. G. Climate change and the impact on respiratory and allergic disease: 2018. Curr. Allergy Asthma Rep. 18, 22 (2018).Article 

Google Scholar 
Andersen, L. K. & Davis, M. D. The effects of the El Niño Southern Oscillation on skin and skin-related diseases: a message from the International Society of Dermatology Climate Change Task Force. Int. J. Dermatol. 54, 1343–1351 (2015).Article 

Google Scholar 
Guenther, A. B., Zimmerman, P. R., Harley, P. C., Monson, R. K. & Fall, R. Isoprene and monoterpene emission rate variability: model evaluations and sensitivity analyses. J. Geophys. Res. Atmos 98, 12609–12617 (1993).Article 

Google Scholar 
Metcalf, C. J. E. & Lessler, J. Opportunities and challenges in modeling emerging infectious diseases. Science 357, 149–152 (2017).CAS 
Article 

Google Scholar 
Chen, I.-C., Hill, J. K., Ohlemüller, R., Roy, D. B. & Thomas, C. D. Rapid range shifts of species associated with high levels of climate warming. Science 333, 1024–1026 (2011).CAS 
Article 

Google Scholar 
Nava, A., Shimabukuro, J. S., Chmura, A. A. & Luz, S. L. B. The impact of global environmental changes on infectious disease emergence with a focus on risks for Brazil. ILAR J. 58, 393–400 (2017).CAS 
Article 

Google Scholar 
Gray, J. S., Dautel, H., Estrada-Peña, A., Kahl, O. & Lindgren, E. Effects of climate change on ticks and tick-borne diseases in Europe. Interdiscip. Perspect. Infect. Dis. 2009, 593232 (2009).CAS 
Article 

Google Scholar 
Ngongeh, L. A., Idika, I. K. & Ibrahim Shehu, A. R. warming and its impacts on parasitology/entomology. Open Parasitol. J 5, 1–11 (2014).Article 

Google Scholar 
LaDeau, S. L., Calder, C. A., Doran, P. J. & Marra, P. P. West Nile virus impacts in American crow populations are associated with human land use and climate. Ecol. Res. 26, 909–916 (2011).Article 

Google Scholar 
Gale, P., Drew, T., Phipps, L. P., David, G. & Wooldridge, M. The effect of climate change on the occurrence and prevalence of livestock diseases in Great Britain: a review. J. Appl. Microbiol. 106, 1409–1423 (2009).CAS 
Article 

Google Scholar 
Lancien, J., Muguwa, J., Lannes, C. & Bouvier, J. B. Tsetse and human trypanosomiasis challenge in south eastern Uganda. Int. J. Trop. Insect Sci. 11, 411–416 (1990).Article 

Google Scholar 
Karesh, W. B. et al. Ecology of zoonoses: natural and unnatural histories. Lancet 380, 1936–1945 (2012).Article 

Google Scholar 
Vezzulli, L., Colwell, R. R. & Pruzzo, C. Ocean warming and spread of pathogenic vibrios in the aquatic environment. Microb. Ecol. 65, 817–825 (2013).Article 

Google Scholar 
Arriaza, B. T., Reinhard, K. J., Araújo, A. G., Orellana, N. C. & Standen, V. G. Possible influence of the ENSO phenomenon on the pathoecology of diphyllobothriasis and anisakiasis in ancient Chinchorro populations. Mem. Inst. Oswaldo Cruz 105, 66–72 (2010).Article 

Google Scholar 
Kaffenberger, B. H., Shetlar, D., Norton, S. A. & Rosenbach, M. The effect of climate change on skin disease in North America. J. Am. Acad. Dermatol. 76, 140–147 (2017).Article 

Google Scholar 
Coates, S. J., Enbiale, W., Davis, M. D. & Andersen, L. K. The effects of climate change on human health in Africa, a dermatologic perspective: a report from the International Society of Dermatology Climate Change Committee. Int. J. Dermatol. 59, 265–278 (2020).Article 

Google Scholar 
Patz, J. A. et al. Unhealthy landscapes: policy recommendations on land use change and infectious disease emergence. Environ. Health Perspect. 112, 1092–1098 (2004).Article 

Google Scholar 
Nagy, G. J. et al. in Climate Change and Health (ed Leal, W) 475–514 (Springer, 2016).Kontra, J. M. Zombie infections and other infectious disease complications of global warming. J. Lancaster Gen. Hosp. 12, 12–16 (2017).
Google Scholar 
Charron, D., Fleury, M., Lindsay, L. R., Ogden, N. & Schuster, C. J. in Human Health in a Changing Climate (ed Séguin, J) 173–210 (Health Canada, 2008).Butler, C. D. & Harley, D. Primary, secondary and tertiary effects of eco-climatic change: the medical response. Postgrad. Med. J. 86, 230–234 (2010).Article 

Google Scholar 
Quarles, W. Global warming means more pathogens. IPM Pract. 35, 1–8 (2017).
Google Scholar 
Patz, J. A., Engelberg, D. & Last, J. The effects of changing weather on public health. Ann. Rev. Public Health 21, 271–307 (2000).CAS 
Article 

Google Scholar 
Yavarian, J., Shafiei-Jandaghi, N. Z. & Mokhtari-Azad, T. Possible viral infections in flood disasters: a review considering 2019 spring floods in Iran. Iran. J. Microbiol. 11, 85–89 (2019).
Google Scholar 
Boxall, A. B. A. et al. Impacts of climate change on indirect human exposure to pathogens and chemicals from agriculture. Environ. Health Perspect. 117, 508–514 (2009).CAS 
Article 

Google Scholar 
Wu, R., Trubl, G., Taş, N. & Jansson, J. K. Permafrost as a potential pathogen reservoir. One Earth 5, 351–360 (2022).Article 

Google Scholar 
Gross, M. Permafrost thaw releases problems. Curr. Biol. 29, R39–R41 (2019).CAS 
Article 

Google Scholar 
Baker-Austin, C. et al. Heat wave-associated vibriosis, Sweden and Finland, 2014. Emerg. Infect. Dis. 22, 1216 (2016).CAS 
Article 

Google Scholar 
Ghanchi, N. K. et al. Case series of Naegleria fowleri primary ameobic meningoencephalitis from Karachi, Pakistan. Am. J. Trop. Med. Hyg. 97, 1600–1602 (2017).Article 

Google Scholar 
Waits, A., Emelyanova, A., Oksanen, A., Abass, K. & Rautio, A. Human infectious diseases and the changing climate in the Arctic. Environ. Int. 121, 703–713 (2018).Article 

Google Scholar 
Oskorouchi, H. R., Nie, P. & Sousa-Poza, A. The effect of floods on anemia among reproductive age women in Afghanistan. PLoS ONE 13, e0191726 (2018).Article 
CAS 

Google Scholar 
Caminade, C., McIntyre, K. M. & Jones, A. E. Impact of recent and future climate change on vector‐borne diseases. Ann. N. Y. Acad. Sci. 1436, 157 (2019).Article 

Google Scholar 
Clegg, J. Influence of climate change on the incidence and impact of arenavirus diseases: a speculative assessment. Clin. Microbiol. Infect. 15, 504–509 (2009).CAS 
Article 

Google Scholar 
Nguyen, H. Q., Huynh, T. T. N., Pathirana, A. & Van der Steen, P. Microbial risk assessment of tidal-induced urban flooding in Can Tho City (Mekong Delta, Vietnam). Int. J. Environ. Res. Public. Health 14, 1485 (2017).Article 
CAS 

Google Scholar 
Ivers, L. C. & Ryan, E. T. Infectious diseases of severe weather-related and flood-related natural disasters. Curr. Opin. Infect. Dis. 19, 408–414 (2006).Article 

Google Scholar 
Cornell, K. Climate change and infectious disease patterns in the United States: public health preparation and ecological restoration as a matter of justice. MSc thesis, Goucher College (2016).Mishra, V. et al. Climate change and its impacts on global health: a review. Pharma Innov. 8, 316–326 (2019).
Google Scholar 
Lemonick, D. M. Epidemics after natural disasters. Am. J. Clin. Med. 8, 144–152 (2011).
Google Scholar 
Khan, A. E., Xun, W. W., Ahsan, H. & Vineis, P. Climate change, sea-level rise, and health impacts in Bangladesh. Environ. Sci. Policy Sustain. Dev. 53, 18–33 (2011).Article 

Google Scholar 
Jones, B. A. et al. Zoonosis emergence linked to agricultural intensification and environmental change. Proc. Natl Acad. Sci. USA 110, 8399–8404 (2013).CAS 
Article 

Google Scholar 
Zell, R., Krumbholz, A. & Wutzler, P. Impact of global warming on viral diseases: what is the evidence? Curr. Opin. Biotechnol. 19, 652–660 (2008).CAS 
Article 

Google Scholar 
McFarlane, R. A., Sleigh, A. C. & McMichael, A. J. Land-use change and emerging infectious disease on an island continent. Int. J. Environ. Res. Public. Health 10, 2699–2719 (2013).Article 

Google Scholar 
White, R. J. & Razgour, O. Emerging zoonotic diseases originating in mammals: a systematic review of effects of anthropogenic land‐use change. Mammal. Rev. 50, 336–352 (2020).Article 

Google Scholar 
Myers, S. S. et al. Human health impacts of ecosystem alteration. Proc. Natl Acad. Sci. USA 110, 18753–18760 (2013).CAS 
Article 

Google Scholar 
Munang’andu, H. M. et al. The effect of seasonal variation on anthrax epidemiology in the upper Zambezi floodplain of western Zambia. J. Vet. Sci. 13, 293–298 (2012).Article 

Google Scholar 
Liu, Q. et al. Changing rapid weather variability increases influenza epidemic risk in a warming climate. Environ. Res. Lett. 15, 044004 (2020).Article 

Google Scholar 
Kapoor, R. et al. God is in the rain: the impact of rainfall-induced early social distancing on COVID-19 outbreaks. J. Health Econ. 81, 102575 (2020).
Google Scholar 
Raza, A., Khan, M. T. I., Ali, Q., Hussain, T. & Narjis, S. Association between meteorological indicators and COVID-19 pandemic in Pakistan. Environ. Sci. Pollut. Res. 28, 40378–40393 (2021).CAS 
Article 

Google Scholar 
Nichols, G. L. et al. Coronavirus seasonality, respiratory infections and weather. BMC Infect. Dis. 21, 1101 (2021).El-Sayed, A. & Kamel, M. Climatic changes and their role in emergence and re-emergence of diseases. Environ. Sci. Pollut. Res. 27, 22336–22352 (2020).CAS 
Article 

Google Scholar 
Ruszkiewicz, J. A. et al. Brain diseases in changing climate. Environ. Res. 177, 108637 (2019).CAS 
Article 

Google Scholar 
Herrador, B. R. G. et al. Analytical studies assessing the association between extreme precipitation or temperature and drinking water-related waterborne infections: a review. Environ. Health 14, 29 (2015).Article 

Google Scholar 
Burge, C. A. et al. Climate Change influences on marine infectious diseases: implications for management and society. Ann. Rev. Mar. Sci. 6, 249–277 (2014).Article 

Google Scholar 
Mills, J. N., Gage, K. L. & Khan, A. S. Potential influence of climate change on vector-borne and zoonotic diseases: a review and proposed research plan. Environ. Health Perspect. 118, 1507–1514 (2010).Article 

Google Scholar 
Gubler, D. J. et al. Climate variability and change in the United States: potential impacts on vector-and rodent-borne diseases. Environ. Health Perspect. 109, 223–233 (2001).
Google Scholar 
Dayrit, J. F., Bintanjoyo, L., Andersen, L. K. & Davis, M. D. P. Impact of climate change on dermatological conditions related to flooding: update from the International Society of Dermatology Climate Change Committee. Int. J. Dermatol. 57, 901–910 (2018).Article 

Google Scholar 
Myaing, T. T. Climate change and emerging zoonotic diseases. KKU Vet. J. 21, 172–182 (2011).
Google Scholar 
Kimes, N. E. et al. Temperature regulation of virulence factors in the pathogen Vibrio coralliilyticus. ISME J. 6, 835–846 (2012).CAS 
Article 

Google Scholar 
Oh, M. H., Lee, S. M., Lee, D. H. & Choi, S. H. Regulation of the Vibrio vulnificus hupA gene by temperature alteration and cyclic AMP receptor protein and evaluation of its role in virulence. Infect. Immun. 77, 1208–1215 (2009).CAS 
Article 

Google Scholar 
Casadevall, A. Climate change brings the specter of new infectious diseases. J. Clin. Invest. 130, 553–555 (2020).CAS 
Article 

Google Scholar 
Beyer, R. M., Manica, A. & Mora, C. Shifts in global bat diversity suggest a possible role of climate change in the emergence of SARS-CoV-1 and SARS-CoV-2. Sci. Total Environ. 767, 145413 (2021).CAS 
Article 

Google Scholar 
Warburton, E. M., Pearl, C. A. & Vonhof, M. J. Relationships between host body condition and immunocompetence, not host sex, best predict parasite burden in a bat–helminth system. Parasitol. Res. 115, 2155–2164 (2016).Article 

Google Scholar 
Plowright, R. K. et al. Reproduction and nutritional stress are risk factors for Hendra virus infection in little red flying foxes (Pteropus scapulatus). Proc. R. Soc. B 275, 861–869 (2008).Article 

Google Scholar 
Beldomenico, P. M. & Begon, M. Disease spread, susceptibility and infection intensity: vicious circles? Trends Ecol. Evol. 25, 21–27 (2010).Article 

Google Scholar 
Mora, C. et al. Suitable days for plant growth disappear under projected climate change: potential human and biotic vulnerability. PLoS Biol. 13, e1002167 (2015).Article 
CAS 

Google Scholar 
Mora, C. et al. Biotic and human vulnerability to projected changes in ocean biogeochemistry over the 21st century. PLoS Biol. 11, e1001682 (2013).CAS 
Article 

Google Scholar 
Thiault, L. et al. Escaping the perfect storm of simultaneous climate change impacts on agriculture and marine fisheries. Sci. Adv. 5, eaaw9976 (2019).CAS 
Article 

Google Scholar 
Myers, S. S. et al. Increasing CO2 threatens human nutrition. Nature 510, 139–142 (2014).CAS 
Article 

Google Scholar 
Tirado, M. C., Clarke, R., Jaykus, L., McQuatters-Gollop, A. & Frank, J. Climate change and food safety: a review. Food Res. Int. 43, 1745–1765 (2010).Article 

Google Scholar 
Greene, M. Impact of the Sahelian drought in Mauritania, West Africa. Lancet 303, 1093–1097 (1974).Article 

Google Scholar 
Cabrol, J.-C. War, drought, malnutrition, measles—a report from Somalia. N. Engl. J. Med. 365, 1856–1858 (2011).CAS 
Article 

Google Scholar 
Cohen, S. et al. Chronic stress, glucocorticoid receptor resistance, inflammation, and disease risk. Proc. Natl Acad. Sci. USA 109, 5995–5999 (2012).CAS 
Article 

Google Scholar 
Calow, R. C., MacDonald, A. M., Nicol, A. L. & Robins, N. S. Ground water security and drought in Africa: linking availability, access, and demand. Groundwater 48, 246–256 (2010).CAS 
Article 

Google Scholar 
Salvador, C., Nieto, R., Linares, C., Díaz, J. & Gimeno, L. Effects of droughts on health: diagnosis, repercussion, and adaptation in vulnerable regions under climate change. Challenges for future research. Sci. Total Environ. 703, 134912 (2020).CAS 
Article 

Google Scholar 
Alhoot, M. A., Tong, W. T., Low, W. Y. & Sekaran, S. D. in Climate Change and Human Health Scenario in South and Southeast Asia (ed Akhtar, R) 243–268 (Springer, 2016).Yusa, A. et al. Climate change, drought and human health in Canada. Int. J. Environ. Res. Public Health 12, 8359–8412 (2015).CAS 
Article 

Google Scholar 
Ligon, B. L. Infectious Diseases that Pose Specific Challenges After Natural Disasters: A Review. Semin. Pediatr. Infect. Dis. 17, 36–45 (2006).Article 

Google Scholar 
Nsuami, M. J., Taylor, S. N., Smith, B. S. & Martin, D. H. Increases in gonorrhea among high school students following hurricane Katrina. Sex. Transm. Infect. 85, 194–198 (2009).CAS 
Article 

Google Scholar 
Jochelson, K. HIV and syphilis in the Republic of South Africa: the creation of an epidemic. Afr. Urban Q. 6, 20–34 (1991).
Google Scholar 
Sobral, M. F. F., Duarte, G. B., da Penha Sobral, A. I. G., Marinho, M. L. M. & de Souza Melo, A. Association between climate variables and global transmission of SARS-CoV-2. Sci. Total Environ. 729, 138997 (2020).CAS 
Article 

Google Scholar 
Liu, J. et al. Impact of meteorological factors on the COVID-19 transmission: a multi-city study in China. Sci. Total Environ. 726, 138513 (2020).CAS 
Article 

Google Scholar 
Chua, P. L. et al. Global projections of temperature-attributable mortality due to enteric infections: a modelling study. Lancet Planet. Health 5, e436–e445 (2021).Article 

Google Scholar 
McCreesh, N. & Booth, M. Challenges in predicting the effects of climate change on Schistosoma mansoni and Schistosoma haematobium transmission potential. Trends Parasitol. 29, 548–555 (2013).Article 

Google Scholar 
Wu, X., Tian, H., Zhou, S., Chen, L. & Xu, B. Impact of global change on transmission of human infectious diseases. Sci. China Earth Sci. 57, 189–203 (2014).Article 

Google Scholar 
Moreno, A. R. Climate change and human health in Latin America: drivers, effects, and policies. Reg. Environ. Change 6, 157–164 (2006).Article 

Google Scholar 
McCann, D. G., Moore, A. & Walker, M.-E. The water/health nexus in disaster medicine: I. drought versus flood. Curr. Opin. Environ. Sustain. 3, 480–485 (2011).Article 

Google Scholar 
Cutler, D. M. & Summers, L. H. The COVID-19 pandemic and the $16 trillion virus. JAMA 324, 1495–1496 (2020).CAS 
Article 

Google Scholar 
Vos, T. et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396, 1204–1222 (2020).Article 

Google Scholar 
Hsiao, M.-H. et al. Environmental factors associated with the prevalence of animal bites or stings in patients admitted to an emergency department. J. Acute Med. 2, 95–102 (2012).Article 

Google Scholar 
Jones, N. E. & Baker, M. D. Toxicologic exposures associated with natural disasters: gases, kerosene, ash, and bites. Clin. Pediatr. Emerg. Med. 13, 317–323 (2012).Article 

Google Scholar  More