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      The potential effects of climate change on amphibian distribution, range fragmentation and turnover in China

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          Abstract

          Many studies predict that climate change will cause species movement and turnover, but few have considered the effect of climate change on range fragmentation for current species and/or populations. We used MaxEnt to predict suitable habitat, fragmentation and turnover for 134 amphibian species in China under 40 future climate change scenarios spanning four pathways (RCP2.6, RCP4.5, RCP6 and RCP8.5) and two time periods (the 2050s and 2070s). Our results show that climate change may cause a major shift in spatial patterns of amphibian diversity. Amphibians in China would lose 20% of their original ranges on average; the distribution outside current ranges would increase by 15%. Suitable habitats for over 90% of species will be located in the north of their current range, for over 95% of species in higher altitudes (from currently 137–4,124 m to 286–4,396 m in the 2050s or 314–4,448 m in the 2070s), and for over 75% of species in the west of their current range. Also, our results predict two different general responses to the climate change: some species contract their ranges while moving westwards, southwards and to higher altitudes, while others expand their ranges. Finally, our analyses indicate that range dynamics and fragmentation are related, which means that the effects of climate change on Chinese amphibians might be two-folded.

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          Predicting species distributions for conservation decisions

          Species distribution models (SDMs) are increasingly proposed to support conservation decision making. However, evidence of SDMs supporting solutions for on-ground conservation problems is still scarce in the scientific literature. Here, we show that successful examples exist but are still largely hidden in the grey literature, and thus less accessible for analysis and learning. Furthermore, the decision framework within which SDMs are used is rarely made explicit. Using case studies from biological invasions, identification of critical habitats, reserve selection and translocation of endangered species, we propose that SDMs may be tailored to suit a range of decision-making contexts when used within a structured and transparent decision-making process. To construct appropriate SDMs to more effectively guide conservation actions, modellers need to better understand the decision process, and decision makers need to provide feedback to modellers regarding the actual use of SDMs to support conservation decisions. This could be facilitated by individuals or institutions playing the role of ‘translators’ between modellers and decision makers. We encourage species distribution modellers to get involved in real decision-making processes that will benefit from their technical input; this strategy has the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes.
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            An Overview of the Global Historical Climatology Network Temperature Database

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              Future projections for Mexican faunas under global climate change scenarios.

              Global climates are changing rapidly, with unexpected consequences. Because elements of biodiversity respond intimately to climate as an important driving force of distributional limitation, distributional shifts and biodiversity losses are expected. Nevertheless, in spite of modelling efforts focused on single species or entire ecosystems, a few preliminary surveys of fauna-wide effects, and evidence of climate change-mediated shifts in several species, the likely effects of climate change on species' distributions remain little known, and fauna-wide or community-level effects are almost completely unexplored. Here, using a genetic algorithm and museum specimen occurrence data, we develop ecological niche models for 1,870 species occurring in Mexico and project them onto two climate surfaces modelled for 2055. Although extinctions and drastic range reductions are predicted to be relatively few, species turnover in some local communities is predicted to be high (>40% of species), suggesting that severe ecological perturbations may result.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Francisco, USA )
                2167-8359
                28 July 2016
                2016
                : 4
                : e2185
                Affiliations
                [1 ]Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University , Nanjing, Jiangsu, China
                [2 ]College of Life Sciences, Anqing Normal University , Anqing, Anhui, China
                [3 ]Departamento de Ciencias de la Vida, Edificio de Ciencias, Campus Externo, Universidad de Alcalá , Madrid, Spain
                [4 ]Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science , Berlin, Germany
                Author information
                http://orcid.org/0000-0003-1039-494X
                Article
                2185
                10.7717/peerj.2185
                4974927
                27547522
                00452096-fa93-4d4f-8179-bc2e23bd14b8
                © 2016 Duan et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 25 January 2016
                : 7 June 2016
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 31300342 and 31570417
                Funded by: Anhui Provincial National Science Foundation
                Award ID: 1608085MC63
                Funded by: Priority Academic Program Development of Jiangsu Higher Education Institutions and Chinese Postdoctoral Science Foundation
                Award ID: 2014M561683
                This work was supported by grants from the National Natural Science Foundation of China (31300342 and 31570417), Anhui Provincial National Science Foundation (1608085MC63), Priority Academic Program Development of Jiangsu Higher Education Institutions and Chinese Postdoctoral Science Foundation (2014M561683). SV is supported by a postdoctoral contract at Universidad de Alcalá in Madrid, Spain. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Biodiversity
                Conservation Biology
                Ecology
                Evolutionary Studies
                Zoology

                maxent,dispersal,turnover,distribution,climate impacts,fragmentation,range shifts,amphibians

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