ArticleScientific reports2025
Spatiotemporal variation and dynamic simulation of carbon stock based on PLUS and InVEST models in the Li River Basin, China.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Analyzing and predicting the effects of urban spatial planning on the gradient differentiation of production-living-ecological land and carbon storage.Scientific reports · 2025Article
- Quantifying spatiotemporal dynamics and driving factors of carbon stock with integrated model in Bohai Bay, China.Carbon balance and management · 2025Article
- Spatiotemporal variation and driving forces of carbon storage in the Fuhe river basin, China.Scientific reports · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
The watershed is the optimal natural division for ecosystems, playing a crucial role in carbon reduction and sequestration. Exploring the carbon sequestration potential of terrestrial ecosystems under different land use scenarios and enhancing regional carbon storage capacity is of significant importance. In this study, the LUCC in the Lijiang River basin under the scenarios of natural evolution (NE), natural conservation (NC), urban developmentand (UD) and farmland protection (FP) in 2040 was simulated by using grid data, driver grid data and carbon density data, based on the PLUS model and the InVEST model. Then, the effects of land use change on carbon stock in the Lijiang River Basin from 2000 to 2040 were evaluated. The results show that, (1)from 2000 to 2020, the area of arable land significantly increased in the Li River Basin, while forest and grassland areas decreased significantly. The distribution pattern of land use in the Li River Basin is mainly influenced by factors such as economy, population density, topography, and roads. Population growth and economic development require more arable land, forest land, and construction land. (2)Due to land use change, the carbon stock in the Li River Basin decreased by 3.69 × 10
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