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Predicting the effect of climate change on the spatiotemporal distribution of two endangered plant species, Silene leucophylla Boiss. and Silene schimperiana Boiss., using machine learning, in Saint Catherine Protected Area, Egypt

Crossref DOI link: https://doi.org/10.1186/s43088-024-00553-2

Published Online: 2024-09-30

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

Authors

Refaat, Aliaa Muhammad https://orcid.org/0000-0002-0075-5222
Youssef, Ashraf Mohamed

Mosallam, Hosny Abdel-Aziz

Farouk, Haitham https://orcid.org/0000-0002-5471-2084
License Information

Text and Data Mining valid from 2024-09-30

Version of Record valid from 2024-09-30
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Article History

Received: 9 May 2024

Accepted: 13 September 2024

First Online: 30 September 2024

Declarations

:

: All methods performed in this study complied with the relevant institutional, national, and international guidelines and legislation.

: Not applicable.

: The authors declare that they have no competing interests.

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