Coupling PLUS-InVEST Models for Spatiotemporal Analysis and Prediction of Ecosystem Carbon Storage: A Case Study in the Yangtze River Delta Urban Agglomeration, China

The assessment of carbon storage is pivotal for evaluating ecosystem carbon balance and promoting sustainable development. This research employed the PLUS and InVEST models, combined with remote sensing-derived land use data, to analyze carbon storage

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Published
2025-08-18
DOI
https://doi.org/10.22541/au.175550069.95344755/v1
Primary Topic
Land Use and Ecosystem Services
Type
article
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article

Coupling PLUS-InVEST Models for Spatiotemporal Analysis and Prediction of Ecosystem Carbon Storage: A Case Study in the Yangtze River Delta Urban Agglomeration, China

Shuguo Wang, Ziru Huang, Jianrong Kang, Liang Liang et al.
Land Use and Ecosystem Services
article

Coupling PLUS-InVEST Models for Spatiotemporal Analysis and Prediction of Ecosystem Carbon Storage: A Case Study in the Yangtze River Delta Urban Agglomeration, China

Shuguo Wang, Ziru Huang, Jianrong Kang, Liang Liang, Yanyan Shi, Meng Li
article en

Abstract

The assessment of carbon storage is pivotal for evaluating ecosystem carbon balance and promoting sustainable development. This research employed the PLUS and InVEST models, combined with remote sensing-derived land use data, to analyze carbon storage

Jiangsu Normal University (CN)
Sustainable cities and communities
Openalex Percentile: Top 80%
Land Use and Ecosystem Services
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