@Article{ZacariasLoyo:2018:DiMoMu,
author = "Zacarias, Daniel and Loyola, Rafael",
affiliation = "{Unversidade Federal de Goi{\'a}s (UFG)} and {Instituto Nacional
de Pesquisas Espaciais (INPE)}",
title = "Distribution modelling and multi-scale landscape connectivity
highlight important areas for the conservation of savannah
elephants",
journal = "Biological Conservation",
year = "2018",
volume = "224",
pages = "1--8",
month = "Aug.",
keywords = "Loxodonta africana, Climate change, Ecological niche models, Niche
overlap, Range dynamics, Threatened species.",
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.",
doi = "10.1016/j.biocon.2018.05.014",
url = "http://dx.doi.org/10.1016/j.biocon.2018.05.014",
issn = "0006-3207",
language = "en",
targetfile = "zacarias_distribution.pdf",
urlaccessdate = "25 abr. 2024"
}