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题名: Maxent modeling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in Lesser Himalayan foothills
作者: Yang, Xue-Qing1; Kushwaha, S. P. S.2; Saran, S.2; null(许建初)3; Roy, P. S.2
刊名: ECOLOGICAL ENGINEERING
关键词: AUC ; J. adhatoda ; Jackknife ; Maxent ; Species distribution
英文摘要: The population of the medicinal plant, Malabar nut (Justicia adhatoda L) is shrinking in Dun valley due to habitat fragmentation, invasion by Lantana camara, over-exploitation, and an ever-increasing human population - the most important being the increasing demand on land for agriculture, industries and the urbanization. Predicting potential geographic distribution of the species is important from species and habitat restoration point of view. This paper reports the results of a study carried out in the Lesser Himalayan foothills in India (Dun valley) on potential distribution modeling for Malabar nut using Maxent model. The Worldclim bioclimatic variables, slope, aspect, elevation, and the land use/land cover (based on IRS LISS-III) data and 46 spatially well-dispersed species occurrence points were used to predict the potential distribution off. adhatoda in ca. 1877 km(2) study area. Jackknife test was used to evaluate the importance of the environmental variables for predictive modeling. Maxent model was highly accurate with a statistically significant AUC value of 92.3. The approach could be promising in predicting the potential distribution of medicinal plant species and thus, can be an effective tool in species restoration and conservation planning. (C) 2012 Elsevier B.V. All rights reserved.
出版日期: 2013-02-01
卷号: 51, 页码:83-87
DOI标识: 10.1016/j.ecoleng.2012.12.004
语种: 英语
收录类别: SCI
学科分类: Ecology; Engineering, Environmental; Environmental Sciences
ISSN号: 0925-8574
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.kib.ac.cn/handle/151853/16619
Appears in Collections:资源植物与生物技术所级重点实验室_期刊论文

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作者单位: 1.Chinese Acad Sci, Kunming Inst Bot, Key Lab Biodivers & Biogeog, Kunming 650201, Yunnan, Peoples R China
2.Indian Space Res Org, Indian Inst Remote Sensing, Dehra Dun 248001, UK, India
3.Chinese Acad Sci, Kunming Inst Bot, China & East Asia Off, World Agroforestry Ctr, Kunming 650201, Yunnan, Peoples R China

Recommended Citation:
Yang, Xue-Qing; Kushwaha, S. P. S.; Saran, S.; Xu, Jianchu; Roy, P. S..Maxent modeling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in Lesser Himalayan foothills,ECOLOGICAL ENGINEERING,2013,51():83-87
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