1982—2015年中国北方生长季NDVI变化及其对气温极值的响应

Abstract

Abstract:

Climate warming is conducive to enhancing vegetation activities. Here, the interannual and spatial variations of vegetation cover in north China in growing season were analyzed based on the satellite-derived normalized difference vegetation index (NDVI), and its responses to the change of extreme temperature indices were studied by using GIMMS NDVI 3g V1.0 datasets, daily temperature and precipitation data. Across the whole study area, the trends calculated by linear regression showed that the NDVI value in growing season increased at a rate of 0.002·(10a)^-1 from 1982 to 2015. The results of extreme-point symmetric mode decomposition showed that the NDVI increased gradually until 1992, decreased slightly until 2005, and then increased gradually. The NDVI values of coniferous forest, shrubbery, desert vegetation, grassland and cultivated vegetation were all in an increase trend, and those of mixed forest, broadleaved deciduous forest and alpine vegetation were in a decrease trend. Spatially, the NDVI was in a decrease trend from the southeast to the northwest, and the area of the regions where the vegetation was significantly improved accounted for 33% of north China. The regions where the NDVI increased significantly were mainly distributed in the Tianshan Mountains and north Tarim Basin in north Xinjiang, Qilian Mountains, mountainous area in south Gansu Province, Loess Plateau, Hetao Plain, Lvliang Mountain, Taihang Mountain, and hilly region in west Liaoning Province. The area of the regions where the NDVI decreased significantly were mainly distributed in the Great Khingan Range, Lesser Khingan Mountains and Changbai Mountain. Among the 18 extreme temperature indices, except the mean daily minimum air temperature and the lowest minimum air temperature were in an increase trend, all others of cold extreme temperature indices were in a decreased trend; the warm extreme temperature indices were all in an increase trend. The NDVI was negatively correlated with FD0, TN10p and TX10p (P＜0.05), but positively correlated with TNmean (P<0.01). The NDVI was positively correlated with all warm extreme temperature indices, and was significantly correlated with TR20, TXmean, TX90p and TN90p (P<0.05). There was also a significant positive correlation between NDVI and GSL (P<0.05).

Key words: growing season, GIMMS NDVI 3g V1.0, spatiotemporal variation, extreme temperature index, response, North China

HE Hang, ZHANG Bo, HOU Qi, LI Shuai, MA Bin, MA Shang-qian. Spatiotemporal Change of NDVI and Its Response to Extreme Temperature Indices in North China from 1982 to 2015[J].Arid Zone Research, 2020, 37(1): 244-253.

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Spatiotemporal Change of NDVI and Its Response to Extreme Temperature Indices in North China from 1982 to 2015

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