中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Predicting potential distribution of Tibetan spruce (Picea smithiana) in Qomolangma (Mount Everest) National Nature Preserve using maximum entropy niche-based model

文献类型:SCI/SSCI论文

作者Zhang J. P. ; Zhang Y. L. ; Liu L. S. ; Nie Y.
发表日期2011
关键词Picea smithiana maximum entropy niche-based model potential distribution Qomolangma (Mount Everest) National Nature Preserve (QNNP) species distributions rare algorithm improve reserve maxent
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.
出处Chinese Geographical Science
21
4
417-426
收录类别SCI
语种英语
ISSN号1002-0063
源URL[http://ir.igsnrr.ac.cn/handle/311030/22408]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Zhang J. P.,Zhang Y. L.,Liu L. S.,et al. Predicting potential distribution of Tibetan spruce (Picea smithiana) in Qomolangma (Mount Everest) National Nature Preserve using maximum entropy niche-based model. 2011.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。