Title of article
Trend analysis of vegetation dynamics in Qinghai–Tibet Plateau using Hurst Exponent
Author/Authors
Peng، نويسنده , , Jian and Liu، نويسنده , , Zhenhuan and Liu، نويسنده , , Yinghui and Wu، نويسنده , , Jiansheng and Han، نويسنده , , Yinan، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2012
Pages
12
From page
28
To page
39
Abstract
As one of the most sensitive areas responding to global environmental change, especially global climate change, Qinghai–Tibet Plateau has been recognized as a hotspot for coupled studies on global terrestrial ecosystem change and global climate change. As an important component of terrestrial ecosystems, vegetation dynamic has become one of the key issues in global environmental change, and numerous case studies have been conducted on vegetation dynamic trend in different study periods. However, few are focused on the quantitative analysis of the consistency of vegetation dynamic trends after the study periods. In the study, taking Qinghai–Tibet Plateau as a case, vegetation dynamic trend during 1982–2003 were analyzed, with the application of the method of linear regression analysis. The results showed that, vegetation dynamics in Qinghai–Tibet Plateau experienced a significant increasing as a whole, with nearly 50% forest degradation in the study period. And among the 7 kinds of vegetation types, the change of forest was the most fluctuant with desert the least one. Furthermore, the consistency of vegetation dynamic trends after the study period, was quantified using Hurst Exponent and the method of R/S analysis. The results showed high consistency of future vegetation dynamic trends for the whole plateau, and inconsistent areas were mainly meadow and steppe distributed in the middle or east of the plateau. It was also convinced that, vegetation dynamic trends in the study area were significantly influenced by topography, especially the elevation.
Keywords
Vegetation dynamic trend , R/S analysis , NDVI , Consistency analysis , Qinghai–Tibet Plateau , Hurst exponent
Journal title
Ecological Indicators
Serial Year
2012
Journal title
Ecological Indicators
Record number
2092254
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