期刊
ARCTIC ANTARCTIC AND ALPINE RESEARCH
卷 51, 期 1, 页码 155-172出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/15230430.2019.1605798
关键词
Permafrost degradation; maximum thawing depth; NDVI; Tibetan Plateau
资金
- Strategic Priority Research Program of Chinese Academy of Sciences [XDA20100103]
- National Natural Science Foundation of China [NSFC 91747204, 41330634, 41072191]
- Fundamental Research Funds for the Central Universities
- Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control [2017B030301012]
Understanding the driving forces for alpine vegetation variations at different permafrost degrading stages is important when the Tibetan Plateau is experiencing climate warming. We applied the modified Frost Number model to simulate frozen ground distributions in the Tibetan Plateau and calculated the maximum thawing depth by the Stefan approach. We classified the simulated frozen ground into three subzones: seasonal frozen ground zone, changing zone, and permafrost zone. We evaluated the effects of precipitation, air temperature, and maximum thawing depth on Normalized Difference Vegetation Index (NDVI) in the subzones across five different stages from 1982 to 2012. The results show that permafrost zone, changing zone, and seasonal frozen ground zone account for about 30.6 percent, 23.3 percent, and 46.1 percent of the study area, respectively. Over the five stages, permafrost areas decreased at fast, slow, fastest, and then slowest rate from stage1 to stage 5, and the large continuous permafrost area has been degraded into pieces. Precipitation is strongly correlated with NDVI and contributes most 'to the changes of NDVI. Maximum thawing depth and particularly air temperature show a much smaller correlation and contribute less to the variation rate of NDVI. The findings will have broad applications in investigating the impact of climate and environment changes on alpine vegetation variations in the Tibetan Plateau.
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