中国八大经济区GPP变化及影响因子协同机制

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Abstract China and the eight economic zones were considered as the study area. This study aimed to comprehensively analyze the impact of anthropogenic factors, land use types, climatic factors, and topographic factors on the spatial differentiation of vegetation GPP. Using MODIS GPP time series, in situ meteorological data, land use type, DEM, nighttime light, and population density data based on Theil-Sen Median trend analysis, Mann-Kendall significance test, and geo-detector model, the spatio-temporal variation of vegetation GPP from 2000 to 2020 were analyzed, and the influencing factors affecting the spatial differentiation of vegetation GPP were detected both on country and regional scales. The results showed that the vegetation GPP showed a fluctuating upward trend both in China and the eight economic zones from 2000 to 2020. The areas with an upward trend accounted for 84.46% of the total area, of which the areas with extremely significant increases accounted for 19.86%, mainly distributed in the middle of the Yellow River economic zone and east of the Northwest economic zone. The factor detection results showed that relative humidity, sunshine duration, precipitation, and land use types were the dominant factors affecting the spatial differentiation of vegetation GPP in China. On regional scale, relative humidity, sunshine duration, and precipitation were the dominant factors affecting the spatial differentiation of vegetation GPP in the Northeast, middle reaches of the Yellow River, Southwest, and Northwest economic zones, while anthropogenic factors exerted the spatial differentiation of vegetation GPP in the Eastern and Southern coastal economic zones. Interaction detection results showed that the interaction between land use type and relative humidity exhibited the greatest influence on the spatial differentiation of vegetation GPP in China with a q value of 0.75. On regional scale, the spatial differentiation of vegetation GPP in the middle reaches of the Yellow River and Southwest economic zones was mostly affected by the interaction between precipitation and other influencing factors, while the spatial differentiation of vegetation GPP in other economic zones was mainly affected by the interaction between land use type and other influencing factors or relative humidity and other influencing factors.

Key words： eight economic zones vegetation gross primary productivity geo-detector model anthropogenic factor land use types

Received: 17 June 2022

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X22

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	XU Yong
	ZHAO Chun
	GUO Zhen-dong
	DAI Qiang-yu
	PAN Yu-chun
	ZHENG Zhi-wei

Cite this article:

XU Yong,ZHAO Chun,GUO Zhen-dong等. Spatio-temporal variation of gross primary productivity and synergistic mechanism of influencing factors in the eight economic zones, China[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(1): 477-487.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I1/477

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