Analysis of Spatiotemporal Evolution and Influencing Factors of Vegetation Net Primary Productivity in the Yellow River Basin from 2000 to 2022

Kunjun Tian, Xing Liu (), Bingbing Zhang, Zhengtao Wang, Gong Xu, Kai Chang, Pengfei Xu and Baomin Han
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Kunjun Tian: School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China
Xing Liu: School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China
Bingbing Zhang: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
Zhengtao Wang: School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
Gong Xu: School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China
Kai Chang: School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China
Pengfei Xu: School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China
Baomin Han: School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China

Sustainability, 2023, vol. 16, issue 1, 1-22

Abstract: The Yellow River Basin (YRB) plays a very important role in China’s economic and social development and ecological security, so studying the spatiotemporal variation characteristics of net primary productivity (NPP) and its influencing factors is of great significance for protecting the stable development of its ecological environment. This article takes the YRB as the research area, based on Moderate Resolution Imaging Spectroradiometer (MODIS) data, climate data, terrain data, land data, social data, and the gravity recovery and climate experiment (GRACE) data. The spatiotemporal evolution characteristics of vegetation NPP in the YRB from 2000 to 2022 were explored using methods such as trend analysis, correlation analysis, and geographic detectors, and the correlation characteristics of NPP with meteorological factors, social factors, and total water storage (TWS) were evaluated. The results indicate that the NPP of vegetation in the YRB showed an increasing trend (4.989 gC·m −2 ·a −1 ) from 2000 to 2022, with the most significant changes occurring in the middle reaches of the YRB. The correlation coefficient indicates that temperature and accumulated temperature have a significant positive impact on the change of NPP, while TWS has a significant negative impact. In the study of the factors affecting vegetation NPP in the YRB, the most influential factors are soil type (0.48), precipitation (0.46), and temperature (0.32). The strong correlation between TWS and vegetation NPP in the YRB is about 39%, with a contribution rate of about 0.12, which is a factor that cannot be ignored in studying vegetation NPP changes in the YRB.

Keywords: vegetation NPP; Yellow River Basin; total water storage; climate change; spatiotemporal evolution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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