Predicting potential distribution of Tibetan spruce (Picea smithiana) in Qomolangma (Mount Everest) National Nature Preserve using maximum entropy niche-based model

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 > 数字山地与遥感应用中心

	Predicting potential distribution of Tibetan spruce (Picea smithiana) in Qomolangma (Mount Everest) National Nature Preserve using maximum entropy niche-based model
	Zhang Jiping 1,2; Zhang Yili 1; Liu Linshan 1; Nie Yong3
刊名	CHINESE GEOGRAPHICAL SCIENCE
	2011-08-01
卷号	21 期号:4 页码:417-426
关键词	Picea smithiana maximum entropy niche-based model potential distribution Qomolangma (Mount Everest) National Nature Preserve (QNNP)
ISSN号	1002-0063
通讯作者	Zhang, YL
英文摘要	Tibetan spruce (Picea smithiana) is an endemic species of the Himalayas, and it distributes only in a restricted area with very low number. To address the lack of detailed distributional information, we used maximum entropy (Maxent) niche-based model to predict the species' potential distribution from limited occurrence-only records. The location data of P. smithiana, relative bioclimatic variables, vegetation data, digital elevation model (DEM), and the derived data were analyzed in Maxent. The receiver operating characteristic (ROC) curve was applied to assess the prediction accuracy. The Maxent jackknife test was performed to quantify the training gains from data layers and the response of P. smithiana distribution to four typical environmental variables was analyzed. Results show that the model performs well at the regional scale. There is a potential for continued expansion of P. smithiana population numbers and distribution in China. P. smithiana potentially distributes in the lower reaches of Gyirong Zangbo and Poiqu rivers in Gyirong and Nyalam counties in Qomolangma (Mount Everest) National Nature Preserve (QNNP), China. The species prefers warm temperate climate in mountain area and mainly distributes in needle-leaved evergreen closed to open forest and mixed forest along the river valley at relatively low altitudes of about 2000-3000 m. Model simulations suggest that distribution patterns of rare species with few species numbers can be well predicted by Maxent.
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
类目[WOS]	Environmental Sciences
研究领域[WOS]	Environmental Sciences & Ecology
关键词[WOS]	SPECIES DISTRIBUTIONS ; RARE ; ALGORITHM ; IMPROVE ; RESERVE ; MAXENT
收录类别	SCI
语种	英语
WOS记录号	WOS:000293085200004
公开日期	2013-06-25
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/5495]
专题	成都山地灾害与环境研究所_数字山地与遥感应用中心
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
推荐引用方式 GB/T 7714	Zhang Jiping,Zhang Yili,Liu Linshan,et al. Predicting potential distribution of Tibetan spruce (Picea smithiana) in Qomolangma (Mount Everest) National Nature Preserve using maximum entropy niche-based model[J]. CHINESE GEOGRAPHICAL SCIENCE,2011,21(4):417-426.
APA	Zhang Jiping,Zhang Yili,Liu Linshan,&Nie Yong.(2011).Predicting potential distribution of Tibetan spruce (Picea smithiana) in Qomolangma (Mount Everest) National Nature Preserve using maximum entropy niche-based model.CHINESE GEOGRAPHICAL SCIENCE,21(4),417-426.
MLA	Zhang Jiping,et al."Predicting potential distribution of Tibetan spruce (Picea smithiana) in Qomolangma (Mount Everest) National Nature Preserve using maximum entropy niche-based model".CHINESE GEOGRAPHICAL SCIENCE 21.4(2011):417-426.