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Model outputs estimate that about half of data-deficient species are threatened, with elevated risk concentrated in the Neotropics and Southeast Asia, and highlight families needing urgent conservation.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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are data-deficient amphibians a conservation concern?","Question",{"text":62,"@type":63},"Many amphibian species are classified as data-deficient or not evaluated, so their extinction risk is often overlooked in conservation planning and resource allocation.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"What methods are used to predict extinction risk in this study?",{"text":67,"@type":63},"The study uses a trait-based spatio-phylogenetic framework combining geographic distribution data, phylogenetically imputed ecological traits, and an amphibian phylogeny.",{"name":69,"@type":60,"acceptedAnswer":70},"Where does the model predict the highest extinction risk?",{"text":71,"@type":63},"Predicted high threat status is localized primarily in the Neotropics and Southeast Asia, with risk also concentrated across particular 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](eprints@whiterose.ac.uk)[https://eprints.whiterose.ac.uk](https://eprints.whiterose.ac.uk)  \nUniversities of Leeds, Sheffield and York  \nDeposited via The University of Sheffield.  \nWhite Rose Research Online URL for this paper:  \n[https://eprints.whiterose.ac.uk/id/eprint/145734/](https://eprints.whiterose.ac.uk/id/eprint/145734/)  \n[Version: Accepted Version](Version: Accepted Version)  \nArticle:  \nGonzalez-del-Pliego, P. , Freckleton, R. , Edwards, D.P. et al. (2019) Phylogenetic and TraitBased Prediction of Extinction Risk for Data-Deficient Amphibians. Current Biology, 29. pp. 1557-1563. ISSN: 0960-9822  \n[https://doi.org/10.1016/j.cub.2019.04.005](https://doi.org/10.1016/j.cub.2019.04.005)  \nArticle available under the terms of the CC-BY-NC-ND licence ( [https://creativecommons.org/licenses/by-nc-nd/4.0/).](https://creativecommons.org/licenses/by-nc-nd/4.0/).)  \nReuse  \nThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) licence. This licence only allows you to download this work and share it with others as long as you credit the authors, but you can’t change the article in any way or use it commercially. More information and the full terms of the licence here: [https://creativecommons.org/licenses/](https://creativecommons.org/licenses/)  \nTakedown  \nIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by  \nemailing [eprints@whiterose.ac.uk](eprints@whiterose.ac.uk) including the URL of the record and the reason for the withdrawal request.  \n1  \n2 Phylogenetic and trait-based prediction of  \n3 extinction risk for data-deficient amphibians  \n4  \n5 Pamela González-del-Pliego 1,2 *, Robert P. Freckleton 1, David P. Edwards1, Michelle S. Koo3, 6 Brett R. Scheffers4, R. Alexander Pyron5, Walter Jetz2  \n7  \n8 Affiliations:  \n9 1 Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield, 10 South Yorkshire S102TN, UK.  \n11 2 Department of Ecology and Evolutionary Biology, Yale University, Prospect Street, New  \n12 Haven, Connecticut 06520, USA  \n13 3 Museum of Vertebrate Zoology, University of California, Valley Life Sciences Building, 14 Berkeley, California 94720, USA  \n15 4 Department of Wildlife Ecology & Conservation, Newins-Ziegler Hall, University of  \n16 Florida/IFAS, Gainesville, FL 32611, USA  \n17 5 Department of Biological Sciences, The George Washington University, 22nd St. NW,  \n18 Washington, DC 20052, USA.  \n19 *Lead contact: [pgonzalezdelpliego@gmail.com](pgonzalezdelpliego@gmail.com)  \n20  \n21 Summary  \n22 Amphibians are among the most highly threatened lineages, with at least 2,000  \n23 species estimated to be in danger of extinction [1, 2] . Alarmingly, another ~2,200  \n24 species (~25% of all ~7,900 known species) are d~~ D~~ata- d~~ D~~eficient~~ (DD)~~ or Not  \n25 Evaluated (hereinafter termed data-deficient~~ DD~~ ) by the IUCN [1] . Without an  \n26 estimate of their status, data-deficient ~~DD ~~species are usually overlooked in  \n27 conservation planning and resource allocation [3] . Amphibians have the highest  \n28 proportion of data-deficient ~~DD ~~species of any vertebrate group [1, 4], which  \n29 highlights the need to estimate their threat status considering potentially imminent  \n30 extinctions. We apply a trait-based spatio-phylogenetic statistical framework [5] to  \n31 predict threat status for data-deficient~~ DD ~~ species. Since ecological, geographical, and  \n32 evolutionary attributes increase extinction risk [6, 7], we used geographic distribution  \n33 data [1, 8], phylogenetically imputed ecological traits, and an amphibian phylogeny [9]  \n34 to provide initial baseline predictions. We estimate that half of the ~2,200 ~~DD~~data- 35  deficient species are threatened with extinction (Vulnerable, Endangered, or Critically  \n36 Endangered), primarily in the Neotropics and Southeast Asia. This incr","cbCaikrTFcApDKy8","https://ap.wps.com/l/cbCaikrTFcApDKy8","pdf",515431,24,"English","# Summary\n## Keywords\n# Results and Discussion","[{\"question\":\"Why are data-deficient amphibians a conservation concern?\",\"answer\":\"Many amphibian species are classified as data-deficient or not evaluated, so their extinction risk is often overlooked in conservation planning and resource allocation.\"},{\"question\":\"What methods are used to predict extinction risk in this study?\",\"answer\":\"The study uses a trait-based spatio-phylogenetic framework combining geographic distribution data, phylogenetically imputed ecological traits, and an amphibian phylogeny.\"},{\"question\":\"Where does the model predict the highest extinction risk?\",\"answer\":\"Predicted high threat status is localized primarily in the Neotropics and Southeast Asia, with risk also concentrated across particular lineages.\"}]","Phylogenetic and Trait-Based Prediction of Extinction Risk for Data-Deficient Amphibians | PDF",1790278142]