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Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar
Wan, Jun-Nan; Mbari, Ndungu J.; Wang, Sheng-Wei; Liu, Bing1; Mwangi, Brian N.; Rasoarahona, Jean R. E.; Xin, Hai-Ping; Zhou, Ya-Dong; Wang, Qing-Feng
2021
发表期刊PLANT DIVERSITY
ISSN2096-2703
卷号43期号:2页码:117-124
摘要Madagascar, a globally renowned biodiversity hotspot characterized by high rates of endemism, is one of the few remaining refugia for many plants and animal species. However, global climate change has greatly affected the natural ecosystem and endemic species living in Madagascar, and will likely continue to influence species distribution in the future. Madagascar is home to six endemic baobab (Adansonia spp., Bombacoideae [Malvaceael) species (Adansonia grandidieri, A. suarezensis, A. madagascariensis, A. perrieri, A. rubrostipa, A. za), which are remarkable and endangered plants. This study aimed to model the current distribution of suitable habitat for each baobab species endemic to Madagascar and determine the effect that climate change will have on suitable baobab habitat by the years 2050 and 2070. The distribution was modeled using MaxEnt based on locality information of 245 occurrence sites of six species from both online database and our own field work. A total of seven climatic variables were used for the modeling process. The present distribution of all six Madagascar's baobabs was largely influenced by temperature-related factors. Although both expansion and contraction of suitable habitat are predicted for all species, loss of original suitable habitat is predicted to be extensive. For the most widespread Madagascar baobab, A. za, more than 40% of its original habitat is predicted to be lost because of climate change. Based on these findings, we recommend that areas predicted to contract in response to climate change should be designated key protection regions for baobab conservation. Copyright (C) 2021 Kunming Institute of Botany, Chinese Academy of Sciences. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.
关键词Madagascar Adansonia Climate change MaxEnt Potential distribution
学科领域Plant Sciences
DOI10.1016/j.pld.2020.07.001
收录类别SCI
语种英语
WOS关键词DIVERSITY PATTERNS ; AFRICAN BAOBAB ; RANGE ; ACCURACY ; AREAS
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000644759700004
出版者KEAI PUBLISHING LTD
文献子类Article
出版地BEIJING
EISSN2468-2659
资助机构Sino-Africa Joint Research Center, CAS, China [Y323771W07, SAJC201322] ; National Natural Science Foundation of China [31800176]
作者邮箱jowan@pku.edu.cn ; jobn.mbari@students.jkual.ac.ke ; wangshengwei@wbgcas.cn ; liubing@ibcas.ac.cn ; briannjoroge62@gmail.com ; jean.rasoarahona@univ-antananarivo.mg ; xinhaiping215@hotmail.com ; zhouyd@wbgcas.cn ; qfwang@wbgcas.cn
作品OA属性gold, Green Published
引用统计
被引频次:25[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/26317
专题系统与进化植物学国家重点实验室
作者单位1.Chinese Acad Sci, Key Lab Plant Germplasm Enhancement & Specialty A, Wuhan Bot Garden, Wuhan 430074, Hubei, Peoples R China
2.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China
3.Mbari, Ndungu J.; Wang, Sheng-Wei; Mwangi, Brian N.] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Sino Africa Joint Res Ctr, Wuhan 430074, Hubei, Peoples R China
5.Rasoarahona, Jean R. E.] Univ Antananarivo, High Sch Agr Sci, POB 175, Antananarivo, Madagascar
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GB/T 7714
Wan, Jun-Nan,Mbari, Ndungu J.,Wang, Sheng-Wei,et al. Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar[J]. PLANT DIVERSITY,2021,43(2):117-124.
APA Wan, Jun-Nan.,Mbari, Ndungu J..,Wang, Sheng-Wei.,Liu, Bing.,Mwangi, Brian N..,...&Wang, Qing-Feng.(2021).Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar.PLANT DIVERSITY,43(2),117-124.
MLA Wan, Jun-Nan,et al."Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar".PLANT DIVERSITY 43.2(2021):117-124.
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