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Integrating Bayesian network and PLUS-InVEST models for spatial optimization of carbon storage under future land use scenarios in the Wujiang River Basin, China

Crossref DOI link: https://doi.org/10.1007/s11356-026-37485-6

Published Online: 2026-02-14

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Li, Qingshan

Zhang, Lele

Peng, Jiaoting

Zhao, Lei

Wang, Yan
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Text and Data Mining valid from 2026-02-14

Version of Record valid from 2026-02-14
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Article History

Received: 20 November 2025

Accepted: 31 January 2026

First Online: 14 February 2026

Declarations

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: During the preparation of this work, the authors used Chat GPT for spell-checking, grammar checking, and language cleaning to improve readability. After using this tool/service, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.

: The authors declare no competing interests.

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