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      Identifying refugia and corridors under climate change conditions for the Sichuan snub‐nosed monkey ( Rhinopithecus roxellana) in Hubei Province, China

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          Abstract

          Using a case study of an isolated management unit of Sichuan snub‐nosed monkey ( Rhinopithecus roxellana), we assess the extent that climate change will impact the species’ habitat distribution in the current period and projected into the 2050s. We identify refugia that could maintain the population under climate change and determine dispersal paths for movement of the population to future suitable habitats. Hubei Province, China. We identified climate refugia and potential movements by integrating bioclimatic models with circuit theory and least‐cost model for the current period (1960–1990) and the 2050s (2041–2060). We coupled a maximum entropy algorithm to predict suitable habitat for the current and projected future periods. Suitable habitat areas that were identified during both time periods and that also satisfied home range and dispersal distance conditions were delineated as refugia. We mapped potential movements measured as current flow and linked current and future habitats using least‐cost corridors. Our results indicate up to 1,119 km 2 of currently suitable habitat within the study range. Based on our projections, a habitat loss of 67.2% due to climate change may occur by the 2050s, resulting in a reduced suitable habitat area of 406 km 2 and very little new habitat. The refugia areas amounted to 286 km 2 and were located in Shennongjia National Park and Badong Natural Reserve. Several connecting corridors between the current and future habitats, which are important for potential movements, were identified. Our assessment of the species predicted a trajectory of habitat loss following anticipated future climate change. We believe conservation efforts should focus on refugia and corridors when planning for future species management. This study will assist conservationists in determining high‐priority regions for effective maintenance of the endangered population under climate change and will encourage increased habitat connectivity.

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          Most cited references47

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          Ecological and Evolutionary Responses to Recent Climate Change

          Ecological changes in the phenology and distribution of plants and animals are occurring in all well-studied marine, freshwater, and terrestrial groups. These observed changes are heavily biased in the directions predicted from global warming and have been linked to local or regional climate change through correlations between climate and biological variation, field and laboratory experiments, and physiological research. Range-restricted species, particularly polar and mountaintop species, show severe range contractions and have been the first groups in which entire species have gone extinct due to recent climate change. Tropical coral reefs and amphibians have been most negatively affected. Predator-prey and plant-insect interactions have been disrupted when interacting species have responded differently to warming. Evolutionary adaptations to warmer conditions have occurred in the interiors of species' ranges, and resource use and dispersal have evolved rapidly at expanding range margins. Observed genetic shifts modulate local effects of climate change, but there is little evidence that they will mitigate negative effects at the species level.
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            Identification of management units using population genetic data.

            The identification of management units (MUs) is central to the management of natural populations and is crucial for monitoring the effects of human activity upon species abundance. Here, we propose that the identification of MUs from population genetic data should be based upon the amount of genetic divergence at which populations become demographically independent instead of the current criterion that focuses on rejecting panmixia. MU status should only be assigned when the observed estimate of genetic divergence is significantly greater than a predefined threshold value. We emphasize the need for a demographic interpretation of estimates of genetic divergence given that it is often the dispersal rate of individuals that is the parameter of immediate interest to conservationists rather than the historical amount of gene flow.
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              Using circuit theory to model connectivity in ecology, evolution, and conservation.

              Connectivity among populations and habitats is important for a wide range of ecological processes. Understanding, preserving, and restoring connectivity in complex landscapes requires connectivity models and metrics that are reliable, efficient, and process based. We introduce a new class of ecological connectivity models based in electrical circuit theory. Although they have been applied in other disciplines, circuit-theoretic connectivity models are new to ecology. They offer distinct advantages over common analytic connectivity models, including a theoretical basis in random walk theory and an ability to evaluate contributions of multiple dispersal pathways. Resistance, current, and voltage calculated across graphs or raster grids can be related to ecological processes (such as individual movement and gene flow) that occur across large population networks or landscapes. Efficient algorithms can quickly solve networks with millions of nodes, or landscapes with millions of raster cells. Here we review basic circuit theory, discuss relationships between circuit and random walk theories, and describe applications in ecology, evolution, and conservation. We provide examples of how circuit models can be used to predict movement patterns and fates of random walkers in complex landscapes and to identify important habitat patches and movement corridors for conservation planning.
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                Author and article information

                Contributors
                celine.clauzel@univ-paris-diderot.fr
                lilyzsu@126.com
                lidiqiang_caf@163.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                08 February 2019
                February 2019
                : 9
                : 4 ( doiID: 10.1002/ece3.2019.9.issue-4 )
                : 1680-1690
                Affiliations
                [ 1 ] Chinese Academy of Forestry/Key Laboratory of Biodiversity of National Forestry and Grassland Administration Research Institute of Forest Ecology Environment and Protection Beijing China
                [ 2 ] Key Lab of Hazard Risk Management and Wildlife Management and Ecosystem Health Yunnan University of Finance and Economics Kunming China
                [ 3 ] LADYSS, UMR7533‐CNRS, University Paris Diderot Sorbonne Paris Cité Paris France
                [ 4 ] School of Urban Management and Resource Environment Yunnan University of Finance and Economics Kunming China
                [ 5 ] Chrono‐Environnement, UMR 6249 CNRS University of Bourgogne Franche‐Comté Besançon France
                Author notes
                [*] [* ] Correspondence

                Céline Clauzel and Li Li, Key Lab of Hazard Risk Management and Wildlife Management and Ecosystem Health, Yunnan University of Finance and Economics, Kunming, China.

                Email: celine.clauzel@ 123456univ-paris-diderot.fr ; lilyzsu@ 123456126.com

                and

                Diqiang Li, Chinese Academy of Forestry/Key Laboratory of Biodiversity of National Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Beijing, China.

                Email: lidiqiang_caf@ 123456163.com

                Author information
                https://orcid.org/0000-0003-1676-4147
                https://orcid.org/0000-0002-0794-4376
                Article
                ECE34815
                10.1002/ece3.4815
                6392490
                30847064
                d82b7562-9df9-4b6b-bc69-0a8c2bb55666
                © 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 06 March 2018
                : 28 September 2018
                : 20 November 2018
                Page count
                Figures: 5, Tables: 1, Pages: 11, Words: 17919
                Funding
                Funded by: National Key Technology R&D Program of China
                Award ID: 2013BAD03B02
                Award ID: 2013BAD03B03
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                ece34815
                February 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.0 mode:remove_FC converted:27.02.2019

                Evolutionary Biology
                circuit theory,climate change adaptation,connectivity,golden snub‐nosed monkey,habitat suitability,refuge

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