气候变化领域集成服务门户(CCPortal): Predicting suitable habitats of ginkgo biloba L. fruit forests in China

CCPortal

DOI	10.1016/j.crm.2021.100364
	Predicting suitable habitats of ginkgo biloba L. fruit forests in China
	Feng L.; Sun J.; Wang T.; Tian X.; Wang W.; Guo J.; Feng H.; Guo H.; Deng H.; Wang G.
发表日期	2021
ISSN	2212-0963
卷号	34
英文摘要	Ginkgo fruit can be used for food and medicine with high economic values. It is of great importance to ensure its sustainable production and genetic resource protection under climate change. In this study, niche models built with climate and soil variables, respectively, were used to assess the impact of climate change on its potential suitable habitat. The model performance was excellent for the climate model (AUC = 0.92) and good for the soil model (AUC = 0.84). Three climate variables (degree-days below zero, mean coldest month temperature, and mean annual precipitation) and two soil variables (subsoil cation exchange capacity and topsoil cation exchange capacity) were the main factors determining the distribution of ginkgo fruit forests. The level of predicted habitat suitability was consistent with the differences observed in fruit traits, suggesting that our model predictions make biological and economic sense. The high- and medium-suitable habitats of this species would decrease in future climates under both the Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 climate change scenarios. This study contributed to a better understanding of the impact of climate change on ginkgo fruit forests and provided potential geographical areas for the cultivation and conservation of this species. © 2021 The Author(s)
英文关键词	Climate change; Fruit; Ginkgo biloba; Habitat suitability; Maximum entropy model; Soil
语种	英语
来源期刊	Climate Risk Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/256124
作者单位	Co-Innovation Centre for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China; College of Biology and the Environment, Nanjing Forestry University, Nanjing, 210037, China; School of Biological Sciences, University of Hong Kong, Hong Kong, Hong Kong; School of Mathematics and Statistics, Yunnan University, Kunming, 650504, China; Zhengzhou Botanical Garden, Zhengzhou, 450042, China; Kaijiang Forestry Research Institute, Kaijiang, 636250, China; Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
推荐引用方式 GB/T 7714	Feng L.,Sun J.,Wang T.,et al. Predicting suitable habitats of ginkgo biloba L. fruit forests in China[J],2021,34.
APA	Feng L..,Sun J..,Wang T..,Tian X..,Wang W..,...&Wang G..(2021).Predicting suitable habitats of ginkgo biloba L. fruit forests in China.Climate Risk Management,34.
MLA	Feng L.,et al."Predicting suitable habitats of ginkgo biloba L. fruit forests in China".Climate Risk Management 34(2021).