Temporal and spatial variation of vegetation net primary product and its response to hydrothermal conditions and grain for green project in the Yellow River basin

doi:10.13474/j.cnki.11-2246.2023.0034

Abstract

Abstract: On the basis of MOD17A3HGF vegetation primary productivity (NPP) data, as well as the air temperature, precipitation and DEM data, the temporal and spatial change characteristics of vegetation NPP in the Yellow River basin from 2000 to 2020 and its response to hydrothermal and grain for green project (GGP) is carried out. The results show that: ① the overall trend of vegetation NPP in the Yellow River basin shows a significant linear increase (P<0.001), and the growth rate of vegetation NPP in the middle reaches is higher than that in the lower reaches, and the lower reaches is higher than the upper reaches. The vegetation NPP in the Yellow River basin increase significantly, accounting for 95.29%, which is concentrate in the middle reaches (the Loess Plateau region), while the significantly decrease areas are mainly concentrated in densely populated urban areas. ② The vegetation NPP in the Yellow River basin is mainly positively correlated with the annual average air temperature and annual precipitation, of which the significant positive correlations account for 11.15% and 42.35%, respectively, and which distribute in east-west and south-north direction, respectively. ③ The growth of vegetation NPP in the slope of [15°,25°] region is the fastest, followed by the >25° and <15° regions. It reflects the vegetation improvement effect of the grain for green project on the Loess Plateau in the middle reaches of the Yellow River basin.

Key words: air temperature, precipitation, NPP, vegetation, spatio-temporal variation, the Yellow River basin

CLC Number:

P237

XIE Yanling, XIA Zhengqing, WANG Tao, ZHANG Zhengliang, ZHU Dongchun. Temporal and spatial variation of vegetation net primary product and its response to hydrothermal conditions and grain for green project in the Yellow River basin[J]. Bulletin of Surveying and Mapping, 2023, 0(2): 15-20.

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