title: Predictions of potential geographical distribution and quality ofSchisandra sphenantheraunder climate change.
abstract: 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 sphenantheraRehd. 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 forS. spenanthera. Moreover, the future quality and distribution ofS. spenantherawere 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 ofS. sphenantheraunder all climate change scenarios remained relatively stable in the study area. The highly suitable habitat ofS. sphenantherawould 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 forS. sphenantherawhen the annual mean temperature exceeds 20 °C or its annual precipitation exceeds 1,200 mm. Our results will be influential in the future ecological conservation and management ofS. sphenantheraand can be taken as a reference for habitat suitability assessment research for other medicinal plants.
authors: National Engineering laboratory for Resource Development of Endangered Chinese Crude Drugs in Northwest of China, Shaanxi Normal University, Xian, China; Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, China; College of Tourism and Environment, Shaanxi Normal University, Xian, China.
authors: Yanlong
authors: Y
authors: Guo
authors: College of Tourism and Environment, Shaanxi Normal University , Xian , China.
authors: Haiyan
authors: H
authors: Wei
authors: Fujian Agriculture and Forestry University, College of Computer and Information Sciences , Fuzhou , China.
authors: Chunyan
authors: C
authors: Lu
authors: National Engineering laboratory for Resource Development of Endangered Chinese Crude Drugs in Northwest of China, Shaanxi Normal University, Xian, China; College of Tourism and Environment, Shaanxi Normal University, Xian, China.
authors: Bei
authors: B
authors: Gao
authors: National Engineering laboratory for Resource Development of Endangered Chinese Crude Drugs in Northwest of China, Shaanxi Normal University, Xian, China; College of Life Sciences, Shaanxi Normal University, Xian, China.
authors: Wei
authors: W
authors: Gu
keywords: Climate change; Fuzzy membership function; GIS; Medicinal plants; Schisandra sphenanthera; Species distribution modeling