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基于土地利用变化的云南省生态系统碳储量的时空变化及预测。

Spatial and Temporal Variation and Prediction of Ecosystem Carbon Stocks in Yunnan Province Based on Land Use Change.

机构信息

School of Economics and Management, Southwest Forestry University, Kunming 650233, China.

出版信息

Int J Environ Res Public Health. 2022 Nov 30;19(23):16059. doi: 10.3390/ijerph192316059.

Abstract

The function of ecosystems as carbon sinks has emerged as a key strategy for advancing the concept of "carbon neutrality" and "carbon peaking". Ecosystem carbon stocks are impacted by land use changes that alter ecosystem structure and function. We evaluated the ecosystem carbon stocks of Yunnan Province in different periods with the aid of the carbon stock module of the InVEST model, analyzed the relationship between land use type shift and ecosystem carbon stock changes, and combine them with the CA-Markov model to predict land use types in 2030. The results showed that between 1990 and 2020, changes in land use primarily affected cropland, grassland, and forested areas. The ecosystem's average carbon stock from 1990 to 2020 was 8278.97 × 10 t. The carbon stocks of cropland, grassland, and unused land decreased by 31.36 × 10 t, 32.18 × 10 t, and 4.18 × 10 t during 1990-2020, respectively, while the carbon stocks of forest land, water area, and construction land increased by 24.31 × 10 t, 7.34 × 10 t, and 22.08 × 10 t. The main cause of the increase in carbon stocks in the ecosystem in Yunnan Province throughout the process of land use type shift was the development of forest land area, whereas the main cause of the decline was the shrinkage of cropland and grassland areas.

摘要

生态系统的碳汇功能已成为推进“碳中和”和“碳峰值”概念的关键策略。生态系统碳储量受到改变生态系统结构和功能的土地利用变化的影响。我们借助 InVEST 模型的碳储量模块,评估了云南省不同时期的生态系统碳储量,分析了土地利用类型变化与生态系统碳储量变化之间的关系,并结合 CA-Markov 模型预测了 2030 年的土地利用类型。结果表明,1990 年至 2020 年期间,土地利用变化主要影响耕地、草地和林地。1990 年至 2020 年期间,生态系统的平均碳储量为 8278.97×10^4t。耕地、草地和未利用土地的碳储量在 1990-2020 年间分别减少了 31.36×10^4t、32.18×10^4t 和 4.18×10^4t,而林地、水域和建设用地的碳储量分别增加了 24.31×10^4t、7.34×10^4t 和 22.08×10^4t。云南省土地利用类型变化过程中生态系统碳储量增加的主要原因是林地面积的扩大,而减少的主要原因是耕地和草地面积的缩小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c274/9741186/4c8a72ad968d/ijerph-19-16059-g001.jpg

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