青海省植被NEP时空变化及驱动因素分析

doi:10.13866/j.azr.2022.05.31

Abstract

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

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.

Figures/Tables 12

Fig. 1

Tab. 1

Basis of interaction judgment"

判断依据	交互作用
$q (X 1$ ∩X2）<Min[q(X1),q(q2)]	非线性减弱
$M i n [q (X 1), q (X 2)] < q (X 1 ? X 2) < M a x [q (X 1), q (X 2)]$	单因子非线性减弱
$q X 1 ? X 2 > M a x [q X 1, q X 2]$	双因子增强
$q X 1 ? X 2 = q X 1 + q (X 2)$	独立
$q X 1 ? X 2 > q X 1 + q (X 2)$	非线性增强

Tab. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Fig. 10

Fig. 11

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

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