Selecting suitable sites for mountain ginseng (Panax ginseng) cultivation by using geographically weighted logistic regression

doi:10.1007/s11629-016-4118-9

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2017 > Vol14 No.3

	Selecting suitable sites for mountain ginseng (Panax ginseng) cultivation by using geographically weighted logistic regression
	HAN Hee; JANG Kwang-min; CHUNG Joo-sang
刊名	Journal of Mountain Science
	2017-03
卷号	14 期号:3 页码:492-500
关键词	Panax Ginseng Site Suitability Logistic Regression Geographicallyweighted Logistic Regression Geographic Information System South Korea
ISSN号	1672-6316
DOI	10.1007/s11629-016-4118-9
通讯作者	JANG Kwang-min
文献子类	期刊论文
英文摘要	With the well-beingtrends to pursue a healthy life, mountain ginseng (Panax ginseng) is rising as one of the most profitable forest products in South Korea. This study was aimed atevaluating a new methodology for identifying suitable sites for mountain ginseng cultivation in the country. Forest vegetation data were collected from 46 sites and the spatial distribution of all sites was analyzed using GIS data for topographic position, landform, solar radiation, and topographic wetness. The physical and chemical properties of the soil samples, including moisture content, pH, organic matter, total nitrogen, exchangeable cations, available phosphorous, and soil texture, were analyzed. The cultivation suitability at each site was assessed based on the environmental conditions using logistic regression (LR) and geographically weighted logistic regression (GWLR) and the results of both methods were compared. The results show that the areas with northern aspect and higher levels of solar radiation, moisture content, total nitrogen, and sand ratio are more likely to be identified as suitable sites for ginseng cultivation. In contrast to the LR, the spatial modeling with the GWLR results in an increase in the model fitness andindicates that a significant portion of spatial autocorrelation in the data decreases. A higher value of the area under the receiver operating characteristic (ROC) curve presents a better prediction accuracy of site suitability by the GWLR. The geographically weighted coefficient estimates of the model arenon-stationary, and reveal that different site suitability is associated with the geographical location of the forest stands. The GWLR increases the accuracy of selecting suitable sites by considering the geographical variations in the characteristics of the cultivation sites.
语种	英语
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/18436]
专题	Journal of Mountain Science _Journal of Mountain Science-2017_Vol14 No.3
推荐引用方式 GB/T 7714	HAN Hee,JANG Kwang-min,CHUNG Joo-sang. Selecting suitable sites for mountain ginseng (Panax ginseng) cultivation by using geographically weighted logistic regression[J]. Journal of Mountain Science,2017,14(3):492-500.
APA	HAN Hee,JANG Kwang-min,&CHUNG Joo-sang.(2017).Selecting suitable sites for mountain ginseng (Panax ginseng) cultivation by using geographically weighted logistic regression.Journal of Mountain Science,14(3),492-500.
MLA	HAN Hee,et al."Selecting suitable sites for mountain ginseng (Panax ginseng) cultivation by using geographically weighted logistic regression".Journal of Mountain Science 14.3(2017):492-500.