Habitat suitability modeling to improve conservation strategy of two highly-grazed endemic plant species in saint Catherine Protectorate, Egypt DOI Creative Commons

Mohamed M. El-Khalafy,

Eman T. El-Kenany,

Alshymaa Z Al-Mokadem

и другие.

BMC Plant Biology, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 16, 2025

Abstract Background Biodiversity is seriously threatened by climate change impacts in the long term. Conservationists must possess a comprehensive knowledge about habitat suitability of different species and factors that control their distribution order to effectively minimize biodiversity loss. Results The present study showed response two endemic taxa Saint Catherine protectorate (SKP) ( Micromeria serbaliana Bufonia multiceps ) anticipate over next few decades using models. In our analysis, we included incorporation bioclimatic variables into SDM modeling process four main algorithms: generalized linear model (GLM), Random Forest (RF), Boosted Regression Trees (BRT), Support Vector Machines (SVM) an ensemble model. RF outperformed other models when analyzing , whereas BRT demonstrated superiority case . exhibited best performance, achieving mean TSS 0.94 for 0.86 was mainly affected Mean temperature wettest quarter (Bio8), elevation, Aridity index. On hand, most significant influencing were determined be Isothermality (Bio2/Bio7) × 100 (Bio3), elevation. slightly expanded during period form 2041–2060, then declined again from 2061 2080, while it moderate expansion under periods. Conclusion results research support urgent need conservation efforts, including reintroduction planning situ ex appropriate habitats. Clinical trial number Not applicable.

Язык: Английский

Habitat suitability modeling to improve conservation strategy of two highly-grazed endemic plant species in saint Catherine Protectorate, Egypt DOI Creative Commons

Mohamed M. El-Khalafy,

Eman T. El-Kenany,

Alshymaa Z Al-Mokadem

и другие.

BMC Plant Biology, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 16, 2025

Abstract Background Biodiversity is seriously threatened by climate change impacts in the long term. Conservationists must possess a comprehensive knowledge about habitat suitability of different species and factors that control their distribution order to effectively minimize biodiversity loss. Results The present study showed response two endemic taxa Saint Catherine protectorate (SKP) ( Micromeria serbaliana Bufonia multiceps ) anticipate over next few decades using models. In our analysis, we included incorporation bioclimatic variables into SDM modeling process four main algorithms: generalized linear model (GLM), Random Forest (RF), Boosted Regression Trees (BRT), Support Vector Machines (SVM) an ensemble model. RF outperformed other models when analyzing , whereas BRT demonstrated superiority case . exhibited best performance, achieving mean TSS 0.94 for 0.86 was mainly affected Mean temperature wettest quarter (Bio8), elevation, Aridity index. On hand, most significant influencing were determined be Isothermality (Bio2/Bio7) × 100 (Bio3), elevation. slightly expanded during period form 2041–2060, then declined again from 2061 2080, while it moderate expansion under periods. Conclusion results research support urgent need conservation efforts, including reintroduction planning situ ex appropriate habitats. Clinical trial number Not applicable.

Язык: Английский

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