The Maqu alpine wetlands have irreplaceable function in maintaining ecological balance and conserving biodiversity to
the upriver regions of the Yellow River. In last 30 years, Global warming causes significant changes in
vegetation. However, the Maqu alpine wetland is undergoing a degradation caused by warming and drying climate. Aim
of this study is to investigate the vegetation changes for a better understanding the consequence of climate variations to
the wetland degradation. Based on the Landsat TM images of 2000 and 2010, the landscape pattern changes were
analyzed by classification statistics, dynamic transfer matrix and landscape pattern indices. Based on the MOD11A2 and
MOD13A2 data from 2000 to 2010, NDVI and land surface temperature (LST) dataset were extracted. NDVI time-series
data processed with S-G filtering method was used to find temporal and spatial variation characteristics, and linear trend
was analyzed by ordinary least squares regression method. NDVI and LST were used to construct Ts-NDVI feature
space, and then TVDI was obtained to explore changes of soil moisture. Relationship between climate variations and
wetland degradation were found by ordinary least squares regression method. Results indicated that both wetland area
and landscape heterogeneity decreased. Annual NDVI presented fluctuated decreasing trend and there was strong spatial
heterogeneity in patterns of NDVI change. Annual TVDI proved to have an increasing trend which showed the drought
gradually intensified. “Warming and drought” climate appear to be critical factors contributing to wetland degradation.
Precipitation has a stronger correlation rather than temperature.
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