Abstract
On the basis of the daily precipitation and mean temperature data of 583 meteorological stations, and AVHRR GIMMS NDVI materials from 1982 to 2006, the NDVI (annual maximum NDVI), annual precipitation and annual accumulated temperature above 10℃ (AT10) of grassland in vegetation regionalizations were obtained in China. Then the Mann-Kendall test and linear trend analysis were applied into the trend analysis of NDVI, precipitation and AT10 on per-pixel and vegetation regionalization scales respectively. And the correlation analysis and binary linear regression analysis were used to study the relation between NDVI and precipitation and AT10. The result showed that the NDVI of grassland was increasing significantly in the subtropical broadleaf evergreen forest regionalization, while the precipitation and AT10 were decreasing. And the NDVI of grassland are positive related to the precipitation and AT10 in temperate steppe and desert regionalization. The NDVI, precipitation and AT10 of grassland were increasing in Qinghai-Tibet plateau alpine vegetation regionalization. However, the NDVI-precipitation correlation and NDVI-AT10 correlation were negative and positive respectively.
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Liu, S., Yan, D., Shi, X., Wang, G., Yuan, Z., Yin, J. (2013). Grassland NDVI Response to Climate Factors in Different Vegetation Regionalizations in China. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2013. Communications in Computer and Information Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41908-9_38
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DOI: https://doi.org/10.1007/978-3-642-41908-9_38
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