ArticleInternational journal of environmental research and public health2022
Spatial and Temporal Variation and Prediction of Ecosystem Carbon Stocks in Yunnan Province Based on Land Use Change.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Multi-scenario simulation and spatial optimization of carbon storage in developed regions from a carbon neutrality perspective.Carbon balance and management · 2025Article
- Spatiotemporal evolution and influencing factors of carbon stock in the water receiving areas from the perspective of carbon neutrality.Scientific reports · 2025Article
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Authors and funding
3 authors.
Funding
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
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