Response of vegetation index to degraded succession of alpine meadow in Qinghai， China
Received date: 2020-10-09
Revised date: 2021-01-13
Online published: 2021-05-26
With the climate change and disturbance of human activities， the degradation of Qinghai-Tibet plateau meadow has become a serious ecological and environmental problem. It is of great significance to accurately identify the degradation degree of meadow and formulate the corresponding strategies for restoration of degraded meadow to realize the sustainable development of alpine meadow. Currently， low spatial resolution MODIS data is the main data source for remote sensing monitoring of grassland degradation， but it is difficult to meet the application in areas with strong landscape fragmentation or heterogeneity. Based on field survey data， this study uses multi-source remote sensing data （MODIS， Landsat， and Sentinel-2） to study the response of the normalized vegetation index （NDVI） at different scales to the degraded succession of alpine meadows， and provides a basis for accurately assessing the degree of meadow degradation. The results showed that： （1） With the degradation of alpine meadows， the evolution trend of dominant species in the vegetation community was from gramineae grass， kobresia humilis， kobresia pygmaea to forbs community； vegetation height and biomass first declined rapidly， then slowly declined or tended to stable， while the vegetation coverage and NDVI changes have opposite characteristics. （2） With the drought of wetland meadows， the dominant species of vegetation community changes from kobresia tibetica to kobresia humilis or kobresia pygmaea. The average vegetation height， biomass and coverage of wetland are slightly lower than that of the original wetland at the initial stage of drought. NDVI is slightly larger than the original wetland， and the difference is not significant. （3） The correlation between meadow height， coverage and biomass and NDVI of Sentinel-2 or Landsat was better than MODIS， indicating that NDVI of Sentinel-2 and Landsat was more sensitive to degradation succession of alpine meadow， and the data could be used to evaluate the degradation degree of alpine meadow more accurately.
Xuegang Xing , Changzhen Yan , Junfeng Lu , Xiaohui Zhai , Haowei Jia , Jiali Xie . Response of vegetation index to degraded succession of alpine meadow in Qinghai， China[J]. Journal of Desert Research, 2021 , 41(3) : 203 -213 . DOI: 10.7522/j.issn.1000-694X.2021.00007
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