Satellite-derived vegetation indices contribute significantly to the prediction of epiphyllous liverworts
Wang J.; Zhang L.; Zhang L.; Wang J.
2014
关键词Species distribution model MaxEnt Climate Vegetation Macro-habitat China species distribution models rain-forest potential distribution habitat fragmentation distribution patterns tropical forest climate-change time-series sensor data costa-rica
英文摘要Epiphyllous liverworts form a special group of bryophytes that primarily grow on leaves of understory vascular plants, occurring in constantly moist and warm evergreen forest in tropical and subtropical regions. They are very sensitive to climate change and environmental pollution. Previous studies have focused largely on microhabitat preferences of epiphyllous liverworts and demonstrated the importance of climate factors such as humidity, temperature and light. However, little is known about the relationship between distribution of epiphyllous liverworts and macro-habitat factors at broad spatial scales. Here, we predicated the distribution of epiphyllous liverworts in China based on topographic and bioclimatic variables, as well as satellite-derived vegetation indices at a 1 km spatial resolution using presence-only ecological niche models. We used the Area Under the receiver operating characteristic Curve (AUC) and True Skill Statistic (TSS) to validate the models, and then used the Wilcoxon paired test to compare model performances. Furthermore, we applied the jackknife test to identify the important factors affecting predictions. Our results showed that the highest accuracy (i.e., AUC = 0.98 and TSS = 0.93) in predicting epiphyllous liverworts was achieved by the model that combined climatic and remotely sensed vegetation variables. The satellite-derived annual mean and minimum Normalized Difference Vegetation Index (NDVI) as well as the annual mean and minimum Normalized Difference Water Index (NDWI) emerged as the most important predictors of distribution patterns of epiphyllous liverworts, while climatic variables such as precipitation in the wettest quarter and temperature of the coldest quarter were of ancillary importance. The significant contributions of NDVI and NDWI in defining the distribution range and spatial patterns of epiphyllous liverworts, and the strong relationship between this species and evergreen forest implies that epiphyllous liverworts may be a useful indicator for forest degradation or integrity at broad spatial scales. (C) 2013 Elsevier Ltd. All rights reserved.
出处Ecological Indicators
38
72-80
收录类别SCI
语种英语
ISSN号1470-160X
内容类型SCI/SSCI论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/29796]  
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
Wang J.,Zhang L.,Zhang L.,et al. Satellite-derived vegetation indices contribute significantly to the prediction of epiphyllous liverworts. 2014.
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