气候变化领域集成服务门户(CCPortal): Predicting the Distributions of Morus notabilis C. K. Schneid under Climate Change in China

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DOI	10.3390/f15020352
	Predicting the Distributions of Morus notabilis C. K. Schneid under Climate Change in China
	Gao, Hui; Qian, Qianqian; Deng, Xinqi; Peng, Yaqin; Xu, Danping
发表日期	2024
EISSN	1999-4907
起始页码	15
结束页码	2
卷号	15 期号:2
英文摘要	As one of the common mulberry tree species, Morus notabilis C. K. Schneid plays a significant role in various industries such as silkworm rearing, papermaking, and medicine due to its valuable mulberry leaves, fruits, and wood. This study utilizes the maximum entropy (MaxEnt) model to predict the potential distribution of M. notabilis in China under future environmental changes. By integrating the relative percentage contribution score of environmental factors with jackknife test analysis, important variables influencing the distribution of M. notabilis were identified along with their optimal values. The results indicate that Annual Precipitation (bio12), Precipitation of Driest Month (bio14), Min Temperature of Coldest Month (bio6), Temperature Annual Range (bio5-bio6) (bio7), Precipitation of Warmest Quarter (bio18), and Precipitation of Coldest Quarter (bio19) are the primary environmental variables affecting its potential distribution. Currently, M. notabilis exhibits high suitability over an area spanning 11,568 km(2), while medium suitability covers 34,244 km(2). Both current and future suitable areas for M. notabilis are predominantly concentrated in Sichuan, Yunnan, and Guizhou provinces, as well as Chongqing city in southwest China. Under the SSP5-8.5 scenario representing high greenhouse gas concentrations by 2050s and 2090s, there is an increase in high suitability area by 2952 km(2) and 3440 km(2), with growth rates reaching 25.52% and 29.74%, respectively. Notably, these two scenarios exhibit substantial expansion in suitable habitats for this species compared to others analyzed within this study period.
英文关键词	MaxEnt; environmental variables; suitable habitats; potential distribution area; habitat suitability simulation
语种	英语
WOS研究方向	Forestry
WOS类目	Forestry
WOS记录号	WOS:001175080200001
来源期刊	FORESTS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/298773
作者单位	China West Normal University; China West Normal University
推荐引用方式 GB/T 7714	Gao, Hui,Qian, Qianqian,Deng, Xinqi,et al. Predicting the Distributions of Morus notabilis C. K. Schneid under Climate Change in China[J],2024,15(2).
APA	Gao, Hui,Qian, Qianqian,Deng, Xinqi,Peng, Yaqin,&Xu, Danping.(2024).Predicting the Distributions of Morus notabilis C. K. Schneid under Climate Change in China.FORESTS,15(2).
MLA	Gao, Hui,et al."Predicting the Distributions of Morus notabilis C. K. Schneid under Climate Change in China".FORESTS 15.2(2024).