Habitat protection and planning for indicator species using the MaxEnt model in Alborz ...
Predicting and mapping appropriate habitats for endangered and threatened species is crucial for monitoring and restoring their dwindling populations in their natural surroundings. Additionally, it aids in selecting suitable conservation sites and effectively managing their habitats. An ideal approa...
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ftdatacite:10.5281/zenodo.11917250 2024-09-15T18:40:12+00:00 Habitat protection and planning for indicator species using the MaxEnt model in Alborz ... Sharareh Pourebrahim, Mehrdad Hadipour, Zahra Emlaii, Hamidreza Heidari, Jit Ern Chen, Ali Najah Ahmed 2024 https://dx.doi.org/10.5281/zenodo.11917250 https://zenodo.org/doi/10.5281/zenodo.11917250 unknown Zenodo https://dx.doi.org/10.5281/zenodo.11917249 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 article-journal JournalArticle ScholarlyArticle 2024 ftdatacite https://doi.org/10.5281/zenodo.1191725010.5281/zenodo.11917249 2024-07-03T11:14:52Z Predicting and mapping appropriate habitats for endangered and threatened species is crucial for monitoring and restoring their dwindling populations in their natural surroundings. Additionally, it aids in selecting suitable conservation sites and effectively managing their habitats. An ideal approach for habitat suitability modeling involves utilizing MaxEnt machine learning techniques. The MaxEnt model was employed to forecast habitat suitability for key species, including Ursus arctos, Capra aegagrus, Ovis ammon, Lutra lutra, Martes foina, Lynx lynx, and Panthera pardus. Additionally, Linkage Pathways were employed to model ecological corridors connecting core habitats, enhancing our understanding of landscape connectivity for these species. The results showed that it is imperative to safeguard vital northern and southern areas between the prohibited hunting zones and the protected area. These areas provide the best routes for species to move between two habitats. However, settlements and rural areas pose ... Article in Journal/Newspaper Ursus arctos Lutra lutra Lynx DataCite |
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Predicting and mapping appropriate habitats for endangered and threatened species is crucial for monitoring and restoring their dwindling populations in their natural surroundings. Additionally, it aids in selecting suitable conservation sites and effectively managing their habitats. An ideal approach for habitat suitability modeling involves utilizing MaxEnt machine learning techniques. The MaxEnt model was employed to forecast habitat suitability for key species, including Ursus arctos, Capra aegagrus, Ovis ammon, Lutra lutra, Martes foina, Lynx lynx, and Panthera pardus. Additionally, Linkage Pathways were employed to model ecological corridors connecting core habitats, enhancing our understanding of landscape connectivity for these species. The results showed that it is imperative to safeguard vital northern and southern areas between the prohibited hunting zones and the protected area. These areas provide the best routes for species to move between two habitats. However, settlements and rural areas pose ... |
format |
Article in Journal/Newspaper |
author |
Sharareh Pourebrahim, Mehrdad Hadipour, Zahra Emlaii, Hamidreza Heidari, Jit Ern Chen, Ali Najah Ahmed |
spellingShingle |
Sharareh Pourebrahim, Mehrdad Hadipour, Zahra Emlaii, Hamidreza Heidari, Jit Ern Chen, Ali Najah Ahmed Habitat protection and planning for indicator species using the MaxEnt model in Alborz ... |
author_facet |
Sharareh Pourebrahim, Mehrdad Hadipour, Zahra Emlaii, Hamidreza Heidari, Jit Ern Chen, Ali Najah Ahmed |
author_sort |
Sharareh Pourebrahim, Mehrdad Hadipour, Zahra Emlaii, Hamidreza Heidari, Jit Ern Chen, Ali Najah Ahmed |
title |
Habitat protection and planning for indicator species using the MaxEnt model in Alborz ... |
title_short |
Habitat protection and planning for indicator species using the MaxEnt model in Alborz ... |
title_full |
Habitat protection and planning for indicator species using the MaxEnt model in Alborz ... |
title_fullStr |
Habitat protection and planning for indicator species using the MaxEnt model in Alborz ... |
title_full_unstemmed |
Habitat protection and planning for indicator species using the MaxEnt model in Alborz ... |
title_sort |
habitat protection and planning for indicator species using the maxent model in alborz ... |
publisher |
Zenodo |
publishDate |
2024 |
url |
https://dx.doi.org/10.5281/zenodo.11917250 https://zenodo.org/doi/10.5281/zenodo.11917250 |
genre |
Ursus arctos Lutra lutra Lynx |
genre_facet |
Ursus arctos Lutra lutra Lynx |
op_relation |
https://dx.doi.org/10.5281/zenodo.11917249 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.5281/zenodo.1191725010.5281/zenodo.11917249 |
_version_ |
1810484517690933248 |