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Predicting potential distribution of Tibetan spruce (Picea smithiana) in Qomolangma (Mount Everest) National Nature Preserve using maximum entropy niche-based model
Zhang Jiping1,2; Zhang Yili1; Liu Linshan1; Nie Yong3
Corresponding AuthorZhang, YL
2011
Source PublicationCHINESE GEOGRAPHICAL SCIENCE
ISSN1002-0063
EISSN1993-064X
Volume21Issue:4Pages:417-426
SubtypeArticle
AbstractTibetan 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.
KeywordPicea Smithiana Maximum Entropy Niche-based Model Potential Distribution Qomolangma (Mount Everest) National Nature Preserve (Qnnp)
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1007/s11769-011-0483-z
WOS Subject ExtendedEnvironmental Sciences & Ecology
Indexed BySCI
WOS KeywordSPECIES DISTRIBUTIONS ; RARE ; ALGORITHM ; IMPROVE ; RESERVE ; MAXENT
Language英语
Quartile4区
TOP
WOS SubjectEnvironmental Sciences
WOS IDWOS:000293085200004
Funding OrganizationNational Basic Research Program of China(2010CB951704) ; Institutional Consolidation for Coordinated and Integrated Monitoring of Natural Resources towards Sustainable Development and Environmental Conservation in the Hindu Kush-Karakoram-Himalaya Mountain Complex(76444-000) ; Chinese Academy of Sciences(GJHZ0954)
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Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/5495
Collection数字山地与遥感应用中心
Affiliation1.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
Recommended Citation
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.
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