Dynamic response and variance of vegetation in China from 1982 to 2015 under the asymmetric rate of temperature fluctuation.

doi:10.13287/j.1001-9332.201807.039

Abstract

Abstract: The impact of global warming on the growth and development of natural vegetation is an important concern worldwide. Based on the data from the vegetation normalization index, daytime temperature (T_max), nighttime temperature (T_min), precipitation, and elevation from 1982 to 2015, we examined the day-night warming response of 42 types of natural vegetation in China. The results showed that both the temperature at day and night was significantly increased in the study area, with obvious asymmetry. The night warming was about 1.6 times as high as that at daytime. The T_min was more conducive to vegetation growth than the T_max. The proportion of vegetation types with positive relationship with T_min was greater than the T_max, with significant spatial difference. Subtropical vegetation accounted for 85.7% of vegetation with positive correlation with T_max. The temperate alpine, mountainous, and desert vegetation responded more positively to T_min. The increase of T_min was not conducive to the growth and development of vegetation at high altitudes, while that of T_max was the opposite. The correlations of vegetation growth with T_max and T_min were as follows: steppe > meadow > needleleaf forest > desert vegetation > broadleaf forest; meadow > desert vegetation > broadleaf forest > steppe > needleleaf forest.

PANG Bo, ZHANG Peng-yan, LU Cheng-peng, HE Jian-jian, CEN Yun-feng, YAN Yu-hang, YANG Xiao-jie. Dynamic response and variance of vegetation in China from 1982 to 2015 under the asymmetric rate of temperature fluctuation.[J]. Chinese Journal of Applied Ecology, 2018, 29(7): 2362-2372.

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