Distribution modelling and multi-scale landscape connectivity highlight important areas for the conservation of savannah elephants
dc.creator | Zacarias, Daniel Augusta | |
dc.creator | Loyola, Rafael Dias | |
dc.date.accessioned | 2023-08-22T12:11:42Z | |
dc.date.available | 2023-08-22T12:11:42Z | |
dc.date.issued | 2018 | |
dc.description.abstract | Habitat connectivity is the milestone towards species' long-term persistence, especially considering impacts of climate change and human activities. Here, we examined the potential implications of climate change and human pressure on connectivity among habitat patches, aiming to identify priority areas and potential corridors for elephant conservation. We used an ensemble modelling approach to evaluate the potential climatic distribution of the savannah elephants Loxodonta africana through time. We considered different climatic scenarios and used current potential climatic suitability and human pressure to evaluate habitat quality for the species. In addition, we used habitat quality and the centroids of elephant patches to evaluate habitat connectivity considering four progressive dispersal distances (100 km, 200 km, 300 km, 400 km). Elephant response to climate change has been conservative through time with overall slight improvement in climatic suitability in southern and eastern Africa and reduction in western Africa and northern portions of central Africa. Habitat quality followed the distribution of currently suitable areas for the species. We found three major areas with high density of least-cost paths in southern, eastern and western Africa, identifying them as potential areas for increasing the connectivity of elephant populations. | pt_BR |
dc.identifier.citation | ZACARIAS, Daniel; LOYOLA, Rafael. Distribution modelling and multi-scale landscape connectivity highlight important areas for the conservation of savannah elephants. Biological Conservation, Amsterdam, v. 224, p. 1-8, 2018. DOI: 10.1016/j.biocon.2018.05.014. Disponível em: https://www.sciencedirect.com/science/article/pii/S0006320717319535. Acesso em: 26 jul. 2023. | pt_BR |
dc.identifier.doi | 10.1016/j.biocon.2018.05.014 | |
dc.identifier.issn | 0006-3207 | |
dc.identifier.issn | e- 1873-2917 | |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0006320717319535 | |
dc.language.iso | eng | pt_BR |
dc.publisher.country | Holanda | pt_BR |
dc.publisher.department | Instituto de Ciências Biológicas - ICB (RMG) | pt_BR |
dc.rights | Acesso Restrito | pt_BR |
dc.subject | Loxodonta africana | pt_BR |
dc.subject | Climate change | pt_BR |
dc.subject | Ecological niche models | pt_BR |
dc.subject | Threatened species | pt_BR |
dc.subject | Niche overlap | pt_BR |
dc.subject | Range dynamics | pt_BR |
dc.title | Distribution modelling and multi-scale landscape connectivity highlight important areas for the conservation of savannah elephants | pt_BR |
dc.type | Artigo | pt_BR |
Arquivos
Licença do Pacote
1 - 1 de 1
Nenhuma Miniatura disponível
- Nome:
- license.txt
- Tamanho:
- 1.71 KB
- Formato:
- Item-specific license agreed upon to submission
- Descrição: