1982-2013年中国植被NDVI空间异质性的气候影响分析

doi:10.11821/dlxb201903010

Abstract

Abstract:

Climate change is a major driver of vegetation activity, and thus its complex processes become a frontier and difficulty in global change research. To understand the complex relationship between climate change and vegetation activity, the spatial distribution and dynamic characteristics of the response of NDVI to climate change from 1982 to 2013 in China were investigated by the geographically weighted regression (GWR) model. The GWR was run based on the combined datasets of satellite vegetation index (GIMMS NDVI) and climate observation (temperature and moisture) from meteorological stations nationwide. The results noted that the spatial non-stationary relationship between NDVI and surface temperature has appeared in China. The significant negative temperature-vegetation relationship was distributed in northeast, northwest and southeast parts of the country, while the positive correlation was more concentrated from southwest to northeast. And then, by comparing the normalized regression coefficients for different climate factors, regions with moisture dominants for NDVI were observed in North China and the Tibetan Plateau, and regions with temperature dominants for NDVI were distributed in the East, Central and Southwest China, where the annual mean maximum temperature accounts for the largest areas. In addition, regression coefficients between NDVI dynamics and climate variability indicated that the higher warming rate could result in the weakened vegetation activity through some mechanisms such as enhanced drought, while the moisture variability could mediate the hydrothermal conditions for the variation of vegetation activity. When the increasing rate of photosynthesis exceeded that of respiration, there was a positive correlation between vegetation dynamics and climate variability. However, the continuous and dynamic responding process of vegetation activity to climate change will be determined by spatially heterogeneous conditions in climate change and vegetation cover. Furthermore, the description of climate-induced vegetation activity from its rise to decline in different regions is expected to provide a scientific basis for initiating ecosystem-based adaptation strategies in response to global climate change.

Key words: NDVI, climate change, spatial heterogeneity, GWR, China

Jiangbo GAO, Kewei JIAO, Shaohong WU. Revealing the climatic impacts on spatial heterogeneity of NDVI in China during 1982-2013[J].Acta Geographica Sinica, 2019, 74(3): 534-543.

Figures/Tables 7

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回归参数		平均气温	最高气温	最低气温	总降水量	相对湿度
Moran's I	均值	0.75	0.75	0.74	0.76	0.76
Moran's I	变率	0.68	0.73	0.70	0.70	0.63
Z	均值	41.58	42.03	41.22	42.07	41.99
Z	变率	34.18	39.72	36.64	37.28	30.54

	平均气温	最高气温	最低气温	总降水量	相对湿度	其它要素
栅格数量	187	743	131	1278	454	202
比例(%)	6.24	24.81	4.37	42.67	15.16	6.74

Revealing the climatic impacts on spatial heterogeneity of NDVI in China during 1982-2013

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