干旱区研究

Arid Zone Research >

2022 , Vol. 39 >Issue 5: 1673 - 1683

DOI: https://doi.org/10.13866/j.azr.2022.05.31

Ecology and Environment

Spatial-temporal variation and driving factors of vegetation net ecosystem productivity in Qinghai Province

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  • 1. Resource And Environmental Engineering College of Yangtze University, Wuhan 430000, Hubei, China
    2. Huanghe Hy-Dropower Developement Co. Ltd, Xining 810000, Qinghai, China
    3. China Yangtze Power Co. Ltd, Yichang 443000, Hubei, China

Received date: 2022-01-16

  Revised date: 2022-06-06

  Online published: 2022-10-25

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Abstract

Based on NPP data from 2000 to 2020 and the vegetation net ecosystem productivity (NEP) calculated by the soil respiration model, the spatial-temporal adaptation and driving factors of vegetation NEP in Qinghai Province were quantitatively analyzed via trend analysis, 6 partial correlation analysis, and geographical detector to explore the spatiotemporal adaptation of vegetation carbon sequestration and its driving factors. The results showed that the vegetation NEP fluctuated over the past 20 years, with an average annual increase of 1.54 g C·m-2·a-1. The spatial variation of annual vegetation NEP varied greatly, decreasing from southeast to northwest, and 71.08% of the area either remained unchanged or increased. Normalized difference vegetation index (NDVI) has the strongest explanatory power for vegetation NEP, and climate and human factors, such as precipitation, temperature, and population density are stronger factors for the spatial differentiation of NEP. Because the two-factor interaction will increase the strength of the argument for vegetation NEP spatial differentiation, it is necessary to pay attention to multi-factor cooperation in the future to enhance the sequestration capacity of carbon in Qinghai Province.

Key words： Qinghai Province; vegetation NEP; spatial-temporal change; driving force

Cite this article

YE Xiaojuan,WANG Yonghui,PAN Hongzhong,BAI Yu,DONG Defu,YAO Huaming . Spatial-temporal variation and driving factors of vegetation net ecosystem productivity in Qinghai Province[J]. Arid Zone Research, 2022 , 39(5) : 1673 -1683 . DOI: 10.13866/j.azr.2022.05.31

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