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      Responses of four dominant dryland plant species to climate change in the Junggar Basin, northwest China

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          Abstract

          Aim

          Dryland ecosystems are exceedingly sensitive to climate change. Desertification induced by both climate changes and human activities seriously threatens dryland vegetation. However, the impact of climate change on distribution of dryland plant species has not been well documented. Here, we studied the potential distribution of four representative dryland plant species ( Haloxylon ammodendron, Anabasis aphylla, Calligonum mongolicum, and Populus euphratica) under current and future climate scenarios in a temperate desert region, aiming to improve our understanding of the responses of dryland plant species to climate change and provide guidance for dryland conservation and afforestation.

          Location

          Junggar Basin, a large desert region in northwestern China.

          Methods

          Occurrence data of the studied species were collected from an extensive field investigation of 2,516 sampling sites in the Junggar Basin. Ensemble species distribution models using 10 algorithms were developed and used to predict the potential distribution of each studied species under current and future climate scenarios.

          Result

          Haloxylon ammodendron and A. aphylla were likely to lose most of their current suitable habitats under future climate scenarios, while C. mongolicum and P. euphratica were likely to expand their ranges or remain relatively stationary. Variable importance evaluation showed that the most important climate variables influencing species distribution differed across the studied species. These results may be explained by the different ecophysiological characteristics and adaptation strategies to the environment of the four studied species.

          Main conclusions

          We explored the responses of the representative dryland plant species to climate change in the Junggar Basin in northwestern China. The different changes in suitability of different species imply that policymakers may need to reconsider the selection and combination of the afforestation species used in this area. This study can provide valuable reference for the management and conservation of dryland ecosystems under future climate change scenarios.

          Abstract

          Using distribution data of four dominant dryland plant species in a temperate desert region in northwestern China obtained from extensive field survey, we evaluated their responses to future climate change based on ensemble species distribution modeling. We found that these species differed in the direction or extent of habitat change under future climate scenarios.

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          Most cited references54

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          The meaning and use of the area under a receiver operating characteristic (ROC) curve.

          A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented. It is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a randomly chosen non-diseased subject. Moreover, this probability of a correct ranking is the same quantity that is estimated by the already well-studied nonparametric Wilcoxon statistic. These two relationships are exploited to (a) provide rapid closed-form expressions for the approximate magnitude of the sampling variability, i.e., standard error that one uses to accompany the area under a smoothed ROC curve, (b) guide in determining the size of the sample required to provide a sufficiently reliable estimate of this area, and (c) determine how large sample sizes should be to ensure that one can statistically detect differences in the accuracy of diagnostic techniques.
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            Climate-related range shifts - a global multidimensional synthesis and new research directions

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              BIOMOD - optimizing predictions of species distributions and projecting potential future shifts under global change

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                Author and article information

                Contributors
                zhiheng.wang@pku.edu.cn
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                11 November 2019
                December 2019
                : 9
                : 23 ( doiID: 10.1002/ece3.v9.23 )
                : 13596-13607
                Affiliations
                [ 1 ] Institute of Ecology College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China
                Author notes
                [*] [* ] Correspondence

                Zhiheng Wang, Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China.

                Email: zhiheng.wang@ 123456pku.edu.cn

                Author information
                https://orcid.org/0000-0001-6466-2239
                https://orcid.org/0000-0003-1876-751X
                Article
                ECE35817
                10.1002/ece3.5817
                6912881
                31871669
                df5af001-957e-483a-8bfa-4d22affa644c
                © 2019 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
                : 11 July 2019
                : 13 September 2019
                : 10 October 2019
                Page count
                Figures: 8, Tables: 2, Pages: 12, Words: 8856
                Funding
                Funded by: National Natural Science Foundation of China , open-funder-registry 10.13039/501100001809;
                Award ID: 31621091
                Funded by: National Key Research Development Program of China
                Award ID: 2017YFA0605101
                Award ID: 2017YFC0503906
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                December 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.2 mode:remove_FC converted:16.12.2019

                Evolutionary Biology
                climate change,distribution,dryland,junggar basin,plant species,species distribution model

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