{"id":656315,"date":"2026-06-24T20:38:18","date_gmt":"2026-06-24T20:38:18","guid":{"rendered":"https:\/\/www.newsbeep.com\/uk\/656315\/"},"modified":"2026-06-24T20:38:18","modified_gmt":"2026-06-24T20:38:18","slug":"a-unified-analysis-of-global-riverine-edna-reveals-common-associations-of-fish-biodiversity-with-drainage-characteristics","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/uk\/656315\/","title":{"rendered":"A unified analysis of global riverine eDNA reveals common associations of fish biodiversity with drainage characteristics"},"content":{"rendered":"

Senior, R. A. et al. Global shortfalls in documented actions to conserve biodiversity. Nature 630, 387\u2013391 (2024).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Reid, A. J. et al. Emerging threats and persistent conservation challenges for freshwater biodiversity. Biol. Rev. 94, 849\u2013873 (2019).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Haase, P. et al. Successes and failures of conservation actions to halt global river biodiversity loss. Nat. Rev. Biodivers. 1, 104\u2013118 (2025).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Living Planet Report 2024\u2014A System in Peril (WWF, 2024).<\/p>\n

Shaw, R. E. et al. Global meta-analysis shows action is needed to halt genetic diversity loss. Nature 638, 704\u2013710 (2025).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Strayer, D. L. & Dudgeon, D. Freshwater biodiversity conservation: recent progress and future challenges. J. N. Am. Benthol. Soc. 29, 344\u2013358 (2010).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Sayer, C. A. et al. One-quarter of freshwater fauna threatened with extinction. Nature 638, 138\u2013145 (2025).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Haase, P. et al. The recovery of European freshwater biodiversity has come to a halt. Nature 620, 582\u2013588 (2023).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Hughes, K. et al. The World\u2019s Forgotten Fishes (WWF, 2021).<\/p>\n

Su, G. et al. Human impacts on global freshwater fish biodiversity. Science 371, 835\u2013838 (2021).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Keck, F. et al. The global human impact on biodiversity. Nature 641, 395\u2013400 (2025).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Rinaldo, A., Rigon, R., Banavar, J. R., Maritan, A. & Rodriguez-Iturbe, I. Evolution and selection of river networks: statics, dynamics, and complexity. Proc. Natl Acad. Sci. USA 111, 2417\u20132424 (2014).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Tonkin, J. D., Heino, J. & Altermatt, F. Metacommunities in river networks: the importance of network structure and connectivity on patterns and processes. Freshw. Biol. 63, 1\u20135 (2018).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Altermatt, F. Diversity in riverine metacommunities: a network perspective. Aquat. Ecol. 47, 365\u2013377 (2013).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Carrara, F., Altermatt, F., Rodriguez-Iturbe, I. & Rinaldo, A. Dendritic connectivity controls biodiversity patterns in experimental metacommunities. Proc. Natl Acad. Sci. USA 109, 5761\u20135766 (2012).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhang, H. et al. Hyperspectral imagery, LiDAR point clouds, and environmental DNA to assess land-water linkage of biodiversity across aquatic functional feeding groups. Remote Sens. Ecol. Conserv. 11, 618\u2013635 (2025).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Blanchet, S. et al. A river runs through it: the causes, consequences, and management of intraspecific diversity in river networks. Evol. Appl. 13, 1195\u20131213 (2020).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Li, F. et al. Human activities\u2019 fingerprint on multitrophic biodiversity and ecosystem functions across a major river catchment in China. Glob. Change Biol. 26, 6867\u20136879 (2020).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Cantera, I. et al. Low level of anthropization linked to harsh vertebrate biodiversity declines in Amazonia. Nat. Commun. 13, 3290 (2022).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Dobson, B. et al. Predicting catchment suitability for biodiversity at national scales. Water Res. 221, 118764 (2022).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Oberdorff, T. et al. Unexpected fish diversity gradients in the Amazon basin. Sci. Adv. 5, eaav8681 (2019).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kirschner, D. et al. Homogeneity in terrestrial land cover is reflected in fish diversity patterns in a Chinese river system. Environ. DNA 5, 1679\u20131690 (2023).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

van der Sleen, P. & Albert, J. S. in Encyclopedia of Inland Waters 243\u2013255 (eds Mehner, T. & Tockner, K.) (2022).<\/p>\n

Schipper, A. M. & Barbarossa, V. Global congruence of riverine fish species richness and human presence. Glob. Ecol. Biogeogr. 31, 1501\u20131512 (2022).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Le Bagousse-Pinguet, Y. et al. Phylogenetic, functional, and taxonomic richness have both positive and negative effects on ecosystem multifunctionality. Proc. Natl Acad. Sci. USA 116, 8419\u20138424 (2019).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Carmona, C. P., de Bello, F., Mason, N. W. H. & Leps, J. Traits without borders: integrating functional diversity across scales. Trends Ecol. Evol. 31, 382\u2013394 (2016).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Tucker, C. M. et al. A guide to phylogenetic metrics for conservation, community ecology and macroecology. Biol. Rev. 92, 698\u2013715 (2016).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Mastretta-Yanes, A. et al. Multinational evaluation of genetic diversity indicators for the Kunming-Montreal Global Biodiversity Framework. Ecol. Lett. 27, e14461 (2024).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Convention on Biological Diversity. The Kunming-Montreal Global Biodiversity Framework (United Nations Environment Programme and Convention on Biological Diversity, 2022).<\/p>\n

Blackman, R. et al. Environmental DNA: the next chapter. Mol. Ecol. 33, e17355 (2024).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Keck, F. et al. Meta-analysis shows both congruence and complementarity of DNA and eDNA metabarcoding to traditional methods for biological community assessment. Mol. Ecol. 31, 1820\u20131835 (2022).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhang, Y., Zhang, X., Li, F. & Altermatt, F. Fishing eDNA in one of the world\u2019s largest rivers: a case study of cross-sectional and depth profile sampling in the Yangtze. Environ. Sci. Technol. 57, 21691\u201321703 (2023).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Cantera, I. et al. Describing functional diversity of communities from environmental DNA. Trends Ecol. Evol. 40, 170\u2013179 (2024).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Coutant, O. et al. Environmental DNA reveals a mismatch between diversity facets of Amazonian fishes in response to contrasting geographical, environmental and anthropogenic effects. Glob. Change Biol. 29, 1741\u20131758 (2023).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Yatsuyanagi, T., Kanbe, T., Fujii, K., Inoue, S. & Araki, H. Environmental DNA unveils deep phylogeographic structure of a freshwater fish. Mol. Ecol. 33, e17337 (2024).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhong, W. et al. Holistic impact evaluation of human activities on the coastal fish biodiversity in the Chinese coastal environment. Environ. Sci. Technol. 56, 6574\u20136583 (2022).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Affinito, F. et al. Assessing coverage of the monitoring framework of the Kunming-Montreal Global Biodiversity Framework and opportunities to fill gaps. Nat. Ecol. Evol. 9, 1280\u20131294 (2025).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Gonzalez, A., Chase, J. M. & O\u2019Connor, M. I. A framework for the detection and attribution of biodiversity change. Philos. Trans. R. Soc. B 378, 20220182 (2023).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Gonzalez, A. et al. A global biodiversity observing system to unite monitoring and guide action. Nat. Ecol. Evol. 7, 1947\u20131952 (2023).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Li, F., Zhang, Y., Altermatt, F., Yang, J. & Zhang, X. Destabilizing effects of environmental stressors on aquatic communities and interaction networks across a major river basin. Environ. Sci. Technol. 57, 7828\u20137839 (2023).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Perry, W. B. et al. An integrated spatio-temporal view of riverine biodiversity using environmental DNA metabarcoding. Nat. Commun. 15, 4372 (2024).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Altermatt, F. et al. Utilizing aquatic environmental DNA to address global biodiversity targets. Nat. Rev. Biodivers. 1, 332\u2013346 (2025).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhang, Y. et al. Integrated reanalysis of global riverine fish eDNA datasets shows robustness and congruence of biodiversity conclusions. Mol. Ecol. 35, e70340 (2026).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Abell, R. et al. Freshwater ecoregions of the world: a new map of biogeographic units for freshwater biodiversity conservation. BioScience 58, 403\u2013414 (2008).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Toussaint, A. et al. Non-native species led to marked shifts in functional diversity of the world freshwater fish faunas. Ecol. Lett. 21, 1649\u20131659 (2018).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Xu, M. et al. Global freshwater fish invasion linked to the presence of closely related species. Nat. Commun. 15, 1411 (2024).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Manel, S. et al. Global determinants of freshwater and marine fish genetic diversity. Nat. Commun. 11, 692 (2020).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Comte, L. et al. RivFishTIME: a global database of fish time-series to study global change ecology in riverine systems. Glob. Ecol. Biogeogr. 30, 38\u201350 (2021).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Tedesco, P. A. et al. A global database on freshwater fish species occurrence in drainage basins. Sci. Data 4, 170141 (2017).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Chapman, M. et al. Biodiversity monitoring for a just planetary future. Science 383, 34\u201336 (2024).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Hughes, A. C. et al. Sampling biases shape our view of the natural world. Ecography 44, 1259\u20131269 (2021).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Hoban, S. et al. Global genetic diversity status and trends: towards a suite of Essential Biodiversity Variables (EBVs) for genetic composition. Biol. Rev. 97, 1511\u20131538 (2022).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Stammnitz, M. R., Hartman Scholz, A. & Duffy, D. J. Environmental DNA without borders. EMBO Rep. 25, 4095\u20134099 (2024).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Couton, M., Viard, F. & Altermatt, F. Opportunities and inherent limits of using environmental DNA for population genetics. Environ. DNA 5, 1048\u20131064 (2023).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kress, W. J., Garcia-Robledo, C., Uriarte, M. & Erickson, D. L. DNA barcodes for ecology, evolution, and conservation. Trends Ecol. Evol. 30, 25\u201335 (2015).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhang, S., Zhao, J. & Yao, M. A comprehensive and comparative evaluation of primers for metabarcoding eDNA from fish. Methods Ecol. Evol. 11, 1609\u20131625 (2020).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

McGarvey, D. J. & Terra, B. D. F. Using river discharge to model and deconstruct the latitudinal diversity gradient for fishes of the Western Hemisphere. J. Biogeogr. 43, 1436\u20131449 (2016).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Novaglio, C., Ferretti, F., Smith, A. D. & Frusher, S. Species\u2013area relationships as indicators of human impacts on demersal fish communities. Divers. Distrib. 22, 1186\u20131198 (2016).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhang, H. et al. Terrestrial land cover shapes fish diversity in a major subtropical river catchment. Commun. Biol. 8, 1113 (2025).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Ribas, C. C. et al. The role of rivers in the origin and future of Amazonian biodiversity. Nat. Rev. Biodivers. 1, 14\u201331 (2025).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Brosse, S. et al. FISHMORPH: a global database on morphological traits of freshwater fishes. Glob. Ecol. Biogeogr. 30, 2330\u20132336 (2021).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Su, G., Vill\u00e9ger, S. & Brosse, S. Morphological diversity of freshwater fishes differs between realms, but morphologically extreme species are widespread. Glob. Ecol. Biogeogr. 28, 211\u2013221 (2019).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Dixon, P. VEGAN, a package of R functions for community ecology. J. Veg. Sci. 14, 927\u2013930 (2003).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Dinno, A. & Dinno, M. A. Package \u2018paran\u2019. R package version 1 (2018).<\/p>\n

Duong, T. ks: kernel density estimation and kernel discriminant analysis for multivariate data in R. J. Stat. Softw. 21, 1\u201316 (2007).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Carmona, C. P., de Bello, F., Mason, N. W. & Lep\u0161, J. Trait probability density (TPD): measuring functional diversity across scales based on TPD with R. Ecology 100, e02876 (2019).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Edgar, R. C. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792\u20131797 (2004).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kembel, S. W. et al. Picante: R tools for integrating phylogenies and ecology. Bioinformatics 26, 1463\u20131464 (2010).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Nakamura, G., Richter, A. & Soares, B. E. FishPhyloMaker: an R package to generate phylogenies for ray-finned fishes. Ecol. Inform. 66, 101481 (2021).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Nei, M. & Li, W. H. Mathematical model for studying genetic variation in terms of restriction endonucleases. Proc. Natl Acad. Sci. USA 76, 5269\u20135273 (1979).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Pinheiro, J., Bates, D., DebRoy, S. S. & Sarkar, D. nlme: linear and nonlinear mixed effects models. R package version 3.1-168 (2013).<\/p>\n

Brooks, M. E. et al. glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J. 9, 378\u2013400 (2017).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Amatulli, G. et al. Hydrography90m: a new high-resolution global hydrographic dataset. Earth Syst. Sci. Data 14, 4525\u20134550 (2022).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Fick, S. E. & Hijmans, R. J. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302\u20134315 (2017).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Elvidge, C. D. et al. Night-time lights of the world: 1994\u20131995. ISPRS J. Photogramm. Remote Sens. 56, 81\u201399 (2001).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Venter, O. et al. Sixteen years of change in the global terrestrial human footprint and implications for biodiversity conservation. Nat. Commun. 7, 12558 (2016).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Lloyd, C. T., Sorichetta, A. & Tatem, A. J. High resolution global gridded data for use in population studies. Sci. Data 4, 170001 (2017).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Plummer, S., Lecomte, P. & Doherty, M. The ESA Climate Change Initiative (CCI): a European contribution to the generation of the Global Climate Observing System. Remote Sens. Environ. 203, 2\u20138 (2017).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kennedy, C. M., Oakleaf, J. R., Theobald, D. M., Baruch-Mordo, S. & Kiesecker, J. Managing the middle: a shift in conservation priorities based on the global human modification gradient. Glob. Change Biol. 25, 811\u2013826 (2019).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kubinec, R. Ordered beta regression: a parsimonious, well-fitting model for continuous data with lower and upper bounds. Polit. Anal. 31, 519\u2013536 (2023).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Ferrari, S. & Cribari-Neto, F. Beta regression for modelling rates and proportions. J. Appl. Stat. 31, 799\u2013815 (2004).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Douma, J. C., Weedon, J. T. & Warton, D. Analysing continuous proportions in ecology and evolution: a practical introduction to beta and Dirichlet regression. Methods Ecol. Evol. 10, 1412\u20131430 (2019).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zuur, A. F., Ieno, E. N., Walker, N. J., Saveliev, A. A. & Smith, G. M. Mixed Effects Models and Extensions in Ecology with R Vol. 574 (Springer, 2009).<\/p>\n

emmeans: estimated marginal means, aka least-squares means. R package version 2.0.3 (2021).<\/p>\n

Pinsky, M. L. et al. Warming and cooling catalyse widespread temporal turnover in biodiversity. Nature 638, 995\u2013999 (2025).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhang, Y. et al. Integrated reanalysis of global riverine fish eDNA datasets. Dryad https:\/\/doi.org\/10.5061\/dryad.gf1vhhn2h<\/a> (2026).<\/p>\n","protected":false},"excerpt":{"rendered":"Senior, R. A. et al. Global shortfalls in documented actions to conserve biodiversity. Nature 630, 387\u2013391 (2024). Article\u00a0…\n","protected":false},"author":2,"featured_media":656316,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22],"tags":[7952,6196,5147,1397,5880,6195,3250,6194,2929,90,56,54,55,6193],"class_list":["post-656315","post","type-post","status-publish","format-standard","has-post-thumbnail","category-environment","tag-biodiversity","tag-biological-and-physical-anthropology","tag-ecology","tag-environment","tag-environmental-impact","tag-evolutionary-biology","tag-general","tag-life-sciences","tag-paleontology","tag-science","tag-uk","tag-united-kingdom","tag-unitedkingdom","tag-zoology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/656315","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=656315"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/656315\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/656316"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=656315"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=656315"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=656315"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}