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Simulating different scenarios of vegetation dynamics under the influence of human and climatic factors based on the residual trend analysis and machine learning

Crossref DOI link: https://doi.org/10.1038/s41598-026-35649-5

Published Online: 2026-01-28

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

Authors

Abolhasani, Azam

Tavili, Ali

Khosravi, Hassan
Funding

Funding for this research was provided by:

Iran National Science Foundation (4014678)
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Text and Data Mining valid from 2026-01-28

Version of Record valid from 2026-02-16
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Article History

Received: 26 August 2025

Accepted: 7 January 2026

First Online: 28 January 2026

Declarations

:

: The authors declare no competing interests.

: All the authors have read, understood, and complied as applicable with the statement on “Ethical responsibilities of Authors” as found in the Instructions for Authors.

: The authors certify that the publisher is permitted to publish this work.

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