NDVI-Based Vegetation Change in Inner Mongolia from 1982 to 2006 and Its Relationship to Climate at the Biome Scale
Author(s) -
Linghui Guo,
Shaohong Wu,
Dongsheng Zhao,
Yunhe Yin,
Guoyong Leng,
Qingyu Zhang
Publication year - 2014
Publication title -
advances in meteorology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.482
H-Index - 32
eISSN - 1687-9317
pISSN - 1687-9309
DOI - 10.1155/2014/692068
Subject(s) - normalized difference vegetation index , biome , growing season , steppe , evapotranspiration , precipitation , vegetation (pathology) , climate change , environmental science , physical geography , geography , arid , climatology , ecosystem , ecology , biology , geology , medicine , archaeology , meteorology , pathology
Based on the normalized difference vegetation index (NDVI), we analyzed vegetation change of the six major biomes across Inner Mongolia at the growing season and the monthly timescales and estimated their responses to climate change between 1982 and 2006. To reduce disturbance associated with land use change, those pixels affected by land use change from the 1980s to 2000s were excluded. At the growing season scale, the NDVI increased weakly in the natural ecosystems, but strongly in cropland. Interannual variations in the growing season NDVI for forest was positively linked with potential evapotranspiration and temperature, but negatively correlated with precipitation. In contrast, it was positively correlated with precipitation, but negatively related to potential evapotranspiration for other natural biomes, particularly for desert steppe. Although monthly NDVI trends were characterized as heterogeneous, corresponding to monthly variations in climate change among biome types, warming-related NDVI at the beginning of the growing season was the main contributor to the NDVI increase during the growing season for forest, meadow steppe, and typical steppe, but it constrained the NDVI increase for desert steppe, desert, and crop. Significant one-month lagged correlations between monthly NDVI and climate variables were found, but the correlation characteristics varied greatly depending on vegetation type
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