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Maxent modeling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from southwestern China

文献类型：期刊论文

作者Qin, Aili3; Liu, Bo2,3; Guo, Quanshui; Bussmann, Rainer W.; Ma, Fanqiang; Jian, Zunji1; Xu, Gexi1; Pei, Shunxiang1
刊名GLOBAL ECOLOGY AND CONSERVATION
出版日期2017
卷号10页码:139-146
关键词Thuja sutchuenensis Maxent Jackknife Climate change Species distribution modeling
ISSN号2351-9894
DOI10.1021/acs.jproteome.6b01016
文献子类Article
英文摘要Objectives Detailed and reliable information about the spatial distribution of species provides important information for species conservation management, especially in the case of rare species of conservation interest. We aimed to study the consequences of climate change on geographical distributions of the tertiary rare tree species Thuja sutchuenensis Franch. (Cupressaceae) to provide reference for conservation management of this species, including priority area selection for introduction and cultivation of the species. We expect that this approach could be promising in predicting the potential distribution of other rare tree species, and as such can be an effective tool in rare tree species restoration and conservation planning, especially species with narrow distribution or raw presence-only occurrence data. Methods 107 records covering the whole distribution range of T. sutchuenensis in the Daba Mountains were obtained during a 3-year field survey. The principle of maximum entropy (Maxent) was used to model the species' potential distribution area under paleoclimate, current and future climate background. Results The Maxent model was highly accurate with a statistically significant AUC value of 0.998, which is higher than 0.5 of a null model; The location of the potential distribution for the last interglacial period is in southeastern China, with the largest optimal habitat area being only 1666 km(2). In other periods, the central location of the potential distribution is accordant with the real present distribution, but the model's predicted optimal habitat area is outside the current distribution. Conclusions Our findings can be applied in various ways such as the identification of additional localities where T. sutchuenensis may already exist, but has not yet been detected; the recognition of localities where it is likely to spread to; the priority selection area for introduction and cultivation and the conservation management of such rare tree species. (C) 2017 The Authors. Published by Elsevier B.V.
学科主题Biochemistry & Molecular Biology
出版地AMSTERDAM
WOS关键词HABITAT FRAGMENTATION ; SPECIES DISTRIBUTIONS ; SAMPLE-SIZE ; CONSERVATION ; PERFORMANCE ; DISPERSAL ; LANDSCAPE ; PLANT ; L.
语种英语
WOS记录号WOS:000401044600012
出版者ELSEVIER SCIENCE BV
资助机构Special fund for basic scientific research business of central public research institutes [CAFYBB2014QB031, CAFRIFEEP2015B07] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31400474, 31400182] ; Youth Academic Leadership Program in Minzu University of China [2017MDYL32]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/22018]  
专题植物研究所_系统与进化植物学研究中心_系统与进化植物学研究中心_学位论文
作者单位1.Bussmann, Rainer W.] Missouri Bot Garden, William L Brown Ctr, St Louis, MO USA
2.Chinese Acad Forestry, Res Inst Forestry Ecol Environm & Protect, Beijing, Peoples R China
3.Minzu Univ China, Coll Life & Environm Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Bot, Beijing, Peoples R China
5.Chinese Acad Forestry, Expt Ctr Forestry North China, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Qin, Aili,Liu, Bo,Guo, Quanshui,et al. Maxent modeling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from southwestern China[J]. GLOBAL ECOLOGY AND CONSERVATION,2017,10:139-146.
APA Qin, Aili.,Liu, Bo.,Guo, Quanshui.,Bussmann, Rainer W..,Ma, Fanqiang.,...&Pei, Shunxiang.(2017).Maxent modeling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from southwestern China.GLOBAL ECOLOGY AND CONSERVATION,10,139-146.
MLA Qin, Aili,et al."Maxent modeling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from southwestern China".GLOBAL ECOLOGY AND CONSERVATION 10(2017):139-146.

入库方式： OAI收割

来源：植物研究所

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