ArticleScientific reports2022
Spatio-temporal evolution and driving factors of carbon storage in the Western Sichuan Plateau.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 42 citations in OpenAlex.
- Spatiotemporal Dynamics, Climate Lag Effects, and Environmental Associations of Vegetation Cover Across the Western Sichuan Plateau During 2001-2024.Plants (Basel, Switzerland) · 2026Article
- Characterization of Chromosomal Structural Polymorphism inPlants (Basel, Switzerland) · 2026Article
- Assessing land use and carbon stock dynamics coupled with the PLUS-InVEST-OMGD model: a multi-scenario simulation in Sichuan Province, China.Scientific reports · 2026Article
- Carbon storage in Sichuan Province (Southwest China) from 1980 to 2050: Spatial-temporal variation, driving factors and future trends.PloS one · 2026Article
- Coupling spatial-temporal changes and driving factors of carbon stock for the Wuhan metropolitan area using the PLUS-InVEST-GeoDectetor model.Scientific reports · 2025Article
- Land use and land cover classification and terrestrial ecosystem carbon storage changes in Vietnam based on Sentinel images.Scientific reports · 2025Article
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- Carbon sinks and carbon emissions balance of land use transition in Xinjiang, China: differences and compensation.Scientific reports · 2022Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The carbon sequestration function of the ecosystem is one of the most important functions of ecosystem service, and it of great significance to study the spatio-temporal differentiation of carbon storage for promoting regional sustainable development. Ecosystems on the Western Sichuan Plateau are highly variable, but its spatio-temporal differentiation and driving factors are not yet clear. In this study, on the basis of land use monitoring data, meteorological and demographic data interpreted from Landsat remote sensing image, and through GIS analysis tools, the carbon storage module of InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) model was used to estimate carbon storage and geodetector was used to detect the driving factors of carbon storage spatial differentiation. The results show that: (1) The carbon storage increased to 1.2455 × 10
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