The impact of climate change and human activities on the change in the net primary productivity of vegetation-taking Sichuan Province as an example

被引:5
|
作者
Dai, Tangrui [1 ]
Dai, Xiaoai [1 ]
Lu, Heng [2 ]
He, Tao [1 ]
Li, Weile [3 ]
Li, Cheng [1 ]
Huang, Shengqi [1 ]
Huang, Yiyang [1 ]
Tong, Chenbo [1 ]
Qu, Ge [1 ]
Shan, Yunfeng [1 ]
Liang, Shuneng [4 ]
Liu, Dongsheng [5 ]
机构
[1] Chengdu Univ technol, Coll Earth Sci, Chengdu 610059, Peoples R China
[2] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Sichuan, Peoples R China
[3] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China
[4] Minist Nat Resources China, Land Satellite Remote Sensing Applicat Ctr, Beijing 100048, Peoples R China
[5] PIESAT Informat Technol Co Ltd, Beijing 100195, Peoples R China
关键词
Climate change; Human activities; Net primary productivity of vegetation; Sichuan Province; Vegetation change; CASA model; LAND-COVER CHANGE; QUANTITATIVE ASSESSMENT; GRASSLAND DEGRADATION; PAN EVAPORATION; TERRESTRIAL ECOSYSTEMS; HUMAN APPROPRIATION; SPATIAL-PATTERN; DRIVING FORCES; RIVER-BASIN; CHINA;
D O I
10.1007/s11356-023-31520-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Vegetation is an essential component of terrestrial ecosystems, influenced by climate change and human activities. Quantifying the relative contributions of climate change and human activities to vegetation dynamics is crucial for addressing global climate change. Sichuan Province is one of the essential ecological functional areas in the upper reaches of the Yangtze River, and its vegetation change is of great significance to the environmental function and ecological security of the Yangtze River Basin and southwest China. In this paper, the modified Carnegie-Ames-Stanford Approach(CASA) model was used to estimate the monthly NPP (Net Primary Productivity) of vegetation in Sichuan Province from 2000 to 2018, and the univariate linear regression analysis was used to analyze the temporal and spatial variation of vegetation NPP in Sichuan Province from 2000 to 2018. In addition, taking vegetation NPP as an index, Pearson correlation analysis, partial correlation analysis, and second-order partial correlation analysis were carried out to quantitatively analyze the contribution of climate change and human activities to vegetation NPP. Finally, the Hurst index and nonparametric Man-Kendall significance test were used to predict the future change trend of vegetation NPP in Sichuan Province. The results show that (1) from 2000 to 2018, the NPP of vegetation in Sichuan Province has a significant increasing trend (Slope = 6.09gC center dot m-2 center dot a-1), with a multi-year average of 438.72 gC center dot m-2 center dot a-1, showing a trend of low in the east and high in the middle. The response of vegetation NPP to altitude is different at different elevations; (2) the contribution rates of climate change and human activities to vegetation NPP change are 4.12gC center dot m-2 center dot a-1 and 1.97gC center dot m-2 center dot a-1, respectively. In contrast, the impact of human activities on NPP is more significant than climate change. Human activities are the main factors affecting vegetation restoration and degradation in Sichuan Province. However, the positive contribution to NPP change is less than climate change; (3) the future vegetation NPP change trend in Sichuan Province is mainly rising, and the same direction change trend is much larger than the reverse change trend. The areas with an increasing trend in the future account for 89.187% of the total area. This research helps understand the impact of climate change and human activities on vegetation change in Sichuan Province. It offers scientific bases for vegetation restoration and ecosystem management in Sichuan and the surrounding areas.
引用
收藏
页码:7514 / 7532
页数:19
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