Using remotely sensed and climate data to predict the current and potential future geographic distribution of a bird at multiple scales: the case of Agelastes meleagrides, a western African forest endemic
SPECIES DISTRIBUTIONS
; BIODIVERSITY HOTSPOTS
; NATIONAL-PARK
; IMPACTS
; DROUGHT
; MODELS
; AREA
WOS学科分类:
Ornithology
WOS研究方向:
Zoology
英文摘要:
BackgroundUnderstanding geographic distributions of species is a crucial step in spatial planning for biodiversity conservation, particularly as regards changes in response to global climate change. This information is especially important for species of global conservation concern that are susceptible to the effects of habitat loss and climate change. In this study, we used ecological niche modeling to assess the current and future geographic distributional potential of White-breasted Guineafowl (Agelastes meleagrides) (Vulnerable) across West Africa. MethodsWe used primary occurrence data obtained from the Global Biodiversity Information Facility and national parks in Liberia and Sierra Leone, and two independent environmental datasets (Moderate Resolution Imaging Spectroradiometer normalized difference vegetation index at 250m spatial resolution, and Worldclim climate data at 2.5 spatial resolution for two representative concentration pathway emissions scenarios and 27 general circulation models for 2050) to build ecological niche models in Maxent.ResultsFrom the projections, White-breasted Guineafowl showed a broader potential distribution across the region compared to the current IUCN range estimate for the species. Suitable areas were concentrated in the Gola rainforests in northwestern Liberia and southeastern Sierra Leone, the Tai-Sapo corridor in southeastern Liberia and southwestern Cote d'Ivoire, and the Nimba Mountains in northern Liberia, southeastern Guinea, and northwestern Cote d'Ivoire. Future climate-driven projections anticipated minimal range shifts in response to climate change.ConclusionsBy combining remotely sensed data and climatic data, our results suggest that forest cover, rather than climate is the major driver of the species' current distribution. Thus, conservation efforts should prioritize forest protection and mitigation of other anthropogenic threats (e.g. hunting pressure) affecting the species.
1.Univ Kansas, Biodivers Inst, Lawrence, KS 66045 USA 2.Benemerita Univ Autonoma Puebla, Ctr Agroecoloia & Ambiente, Inst Ciencias, Puebla, Mexico 3.Royal Soc Protect Birds, Gola Rainforest Natl Pk, Kailahun, Sierra Leone 4.Newcastle Univ, Sch Nat & Environm Sci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
Recommended Citation:
Freeman, Benedictus,Jimenez-Garcia, Daniel,Barca, Benjamin,et al. Using remotely sensed and climate data to predict the current and potential future geographic distribution of a bird at multiple scales: the case of Agelastes meleagrides, a western African forest endemic[J]. AVIAN RESEARCH,2019-01-01,10