Effects of climate change on richness distribution patterns of threatened conifers endemic to China
文献类型：期刊论文
| 作者 | Xie, Dan; Du, Hong; Xu, Wei-Hua; Ran, Jin-Hua; Wang, Xiao-Quan |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2022 |
| 卷号 | 136 |
| ISSN号 | 1470-160X |
| 关键词 | Species distribution model Range shift Habitat suitability Nature reserve Conservation measures Western Sichuan Plateau |
| DOI | 10.1016/j.ecolind.2022.108594 |
| 文献子类 | Article |
| 英文摘要 | Climate change inevitably affects the geographical distribution of species on earth. Conifers, which are important components of forest tree species, are highly threatened and particularly sensitive to climate change. Approxi-mately 23.6% (145/615 species) of the world's conifers are native to China, among which 53 species are threatened. Thus, understanding the impact of climate change on the species richness and distribution of threatened conifers endemic to China (hereafter referred to as threatened conifers) is of great importance. Here, we investigated the habitat suitability under present climate conditions and predicted the impact of future climate change on these threatened conifers using species distribution modeling. Combined with the current natural reserve system, we evaluated the conservation effectiveness, determined the key conservation areas, and proposed suggestions for the future protection of these threatened conifers. Our results showed that the threatened conifers were mainly distributed in mountainous areas and climate variables played a major role in the distribution of these threatened conifers. We also found that the richness hotspots were predicted to shrink and move northward with a changing climate. The lowest elevation of threatened conifers predicted to contract their species range mainly occurred below 1000 m or above 2000 m, while most species whose lowest elevations ranged from 1000 to 2000 m were projected to expand their distribution areas under the future climate scenario. Therefore, different conservation measures should be taken for threatened conifers with different distribution patterns. The central Hengduan Mountains and the Western Sichuan Plateau were identified as areas needing attention and areas worth exploring, respectively, which should be given more attention in future field sur-veys and conservation efforts. This study highlighted the critical role of these threatened conifers as good in-dicators for measuring and proposing conservation strategies to minimize the impacts of climate change. |
| 学科主题 | Biodiversity Conservation ; Environmental Sciences |
| 电子版国际标准刊号 | 1872-7034 |
| 出版地 | AMSTERDAM |
| WOS关键词 | SPECIES DISTRIBUTION MODELS ; RANGE SHIFTS ; BIODIVERSITY ; CONSERVATION ; MOUNTAIN ; PLANTS ; PERFORMANCE ; ADAPTATION ; DIVERSITY ; MIGRATION |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000761399200002 |
| 资助机构 | Strategic Priority Research Program, CAS [XDA23080000] ; National Key R&D Program of China [2017YFA0605100] ; National Natural Science Foun-dation of China [31770238] ; Youth Innovation Pro-motion Association CAS [2012070] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/29025]  |
| 专题 | 系统与进化植物学国家重点实验室 |
| 作者单位 | 1.Ran, Jin-Hua 2.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China 3.[Xie, Dan 4.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 6.Du, Hong |
| 推荐引用方式 GB/T 7714 | Xie, Dan,Du, Hong,Xu, Wei-Hua,et al. Effects of climate change on richness distribution patterns of threatened conifers endemic to China[J]. ECOLOGICAL INDICATORS,2022,136. |
| APA | Xie, Dan,Du, Hong,Xu, Wei-Hua,Ran, Jin-Hua,&Wang, Xiao-Quan.(2022).Effects of climate change on richness distribution patterns of threatened conifers endemic to China.ECOLOGICAL INDICATORS,136. |
| MLA | Xie, Dan,et al."Effects of climate change on richness distribution patterns of threatened conifers endemic to China".ECOLOGICAL INDICATORS 136(2022). |
入库方式： OAI收割
来源：植物研究所
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