Predictions of potential geographical distribution and quality of Schisandra sphenanthera under climate change
文献类型：期刊论文
| 作者 | Guo, Yanking1,2; Wei, Haiyan3; Lu, Chunyan4; Gao, Bei1,3; Gu, Wei1,5 |
| 刊名 | PEERJ
 |
| 出版日期 | 2016-10-20 |
| 卷号 | 4页码:21 |
| ISSN号 | 2167-8359 |
| 关键词 | Climate change GIS Medicinal plants Fuzzy membership function Schisandra sphenanthera Species distribution modeling |
| DOI | 10.7717/peerj.2554 |
| 通讯作者 | Wei, Haiyan(weihy@snnu.edu.cn) ; Gu, Wei(weigu@snnu.cdu.cn) |
| 英文摘要 | Climate change will significantly affect plant distribution as well as the quality of medicinal plants. Although numerous studies have analyzed the effect of climate change on future habitats of plants through species distribution models (SDMs), few of them have incorporated the change of effective content of medicinal plants. Schisandra sphenanthera Rehd. et Wils. is an endangered traditional Chinese medical plant which is mainly located in the Qinling Mountains. Combining fuzzy theory and a maximum entropy model, we obtained current spatial distribution of quality assessment for S. spenanthera. Moreover, the future quality and distribution of S. spenanthera were also projected for the periods 2020s, 2050s and 2080s under three different climate change scenarios SRES-A1B, SRES-A2 and SRES-B1 emission scenarios) described in the Special Report on Emissions Scenarios (SRES) of IPCC (Intergovernmental Panel on Climate Change). The results showed that the moderately, suitable habitat of S. sphenanthera under all climate change scenarios remained relatively stable in the study area. The highly suitable habitat of S. sphenanthera would gradually decrease in the future and a higher decline rate of the highly suitable habitat area would occur under climate change scenarios SRES-A1B and SRES-A2. The result suggested that in the study area, there would be no more highly suitable habitat areas for S. sphenanthera when the annual mean temperature exceeds 20 degrees C or its annual precipitation exceeds 1,200 mm. Our results will be influential in the future ecological conservation and management of S. sphenanthera and can be taken as a reference for habitat suitability assessment research for other medicinal plants. |
| 收录类别 | SCI |
| WOS关键词 | SPECIES DISTRIBUTION MODELS ; HABITAT DISTRIBUTION ; QINLING MOUNTAINS ; CHINA ; FUZZY ; VULNERABILITY ; ECOSYSTEMS ; RANGES ; IMPACT ; AREAS |
| WOS研究方向 | Science & Technology - Other Topics |
| WOS类目 | Multidisciplinary Sciences |
| 语种 | 英语 |
| 出版者 | PEERJ INC |
| WOS记录号 | WOS:000385821100008 |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557425 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Wei, Haiyan; Gu, Wei |
| 作者单位 | 1.Shaanxi Normal Univ, Natl Engn Lab Resource Dev Endangered Chinese Cru, Xian, Peoples R China 2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou, Peoples R China 3.Shaanxi Normal Univ, Coll Tourism & Environm, Xian, Peoples R China 4.Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou, Peoples R China 5.Shaanxi Normal Univ, Coll Life Sci, Xian, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Yanking,Wei, Haiyan,Lu, Chunyan,et al. Predictions of potential geographical distribution and quality of Schisandra sphenanthera under climate change[J]. PEERJ,2016,4:21. |
| APA | Guo, Yanking,Wei, Haiyan,Lu, Chunyan,Gao, Bei,&Gu, Wei.(2016).Predictions of potential geographical distribution and quality of Schisandra sphenanthera under climate change.PEERJ,4,21. |
| MLA | Guo, Yanking,et al."Predictions of potential geographical distribution and quality of Schisandra sphenanthera under climate change".PEERJ 4(2016):21. |
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来源：寒区旱区环境与工程研究所
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