Modelling the current and future potential distribution areas of Columba albitorques in Ethiopia

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Abstract

Understanding species’ responses to climate change is essential for predicting future biodiversity patterns and informing conservation strategies. However, in Ethiopia, the impacts of climate change on bird distributions remain poorly documented. This study utilized the MaxEnt model to predict the current and future distribution of the White-collared Pigeon (Columba albitorques) under different climate scenarios. Species occurrence records were obtained from the Global Biodiversity Information Facility (GBIF), and bioclimatic variables from WorldClim, along with land cover and human population density data, were used as environmental predictors. Multicollinearity among predictors was assessed to ensure that only biologically relevant and non-redundant variables were retained. Habitat suitability was then projected for 2050 and 2070 under two greenhouse gas emission scenarios (RCP 6.0 and RCP 8.5). The MaxEnt model performed well (AUC = 0.854), identifying maximum temperature, annual precipitation, land cover, and human population density as the most influential predictors of Columba albitorques distribution. Future projections indicate substantial declines in suitable habitat across all scenarios, with losses of 44.5–54% by 2050 and 54.9–75.5% by 2070, the largest reductions occurring under RCP 8.5 in 2070. These findings suggest that Columba albitorques is highly sensitive to climate warming and habitat alteration. Conservation efforts focused on protecting high-elevation habitats and mitigating human-induced habitat degradation will be essential for maintaining viable populations under future climate conditions
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This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint. You must log in to post a comment. There are no comments or no comments have been made public for this article. This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint. Add a Comment You must log in to post a comment. Comments There are no comments or no comments have been made public for this article. Understanding species’ responses to climate change is essential for predicting future biodiversity patterns and informing conservation strategies. However, in Ethiopia, the impacts of climate change on bird distributions remain poorly documented. This study applied MaxEnt modeling to predict the current and future distribution of the White-collared Pigeon (Columba albitorques) under two greenhouse gas emission scenarios (RCP 6.0 and RCP 8.5) for 2050 and 2070. Species occurrence records were obtained from the Global Biodiversity Information Facility (GBIF), and bioclimatic variables from WorldClim. Environmental predictors included land cover and human population density. The model performed well (AUC = 0.854), identifying maximum temperature, land cover, and human population density as the most influential predictors of Columba albitorques distribution. Future projections indicate substantial declines in suitable habitat, ranging from 44.5 to 54% by 2050 and 54.9 to 75.5% by 2070, with the largest reductions occurring under RCP 8.5 by 2070. These findings suggest that Columba albitorques may experience habitat contraction and increased elevational compression under warming scenarios. Conservation strategies that protect high-elevation habitats and reduce human-induced habitat degradation will be essential for maintaining viable populations under future climate conditions. https://doi.org/10.32942/X22H25 Life Sciences species distribution modelling, climate change, MaxEnt, Ethiopia, Columba albitorques Published: 2025-11-28 21:31 Last Updated: 2026-01-03 11:01 CC BY Attribution 4.0 International Conflict of interest statement: None Data and Code Availability Statement: Species occurrence records for Columba albitorques were obtained from the Global Biodiversity Information Facility (GBIF: https://www.gbif.org). Bioclimatic variables were obtained from WorldClim 2.1 (https://www.worldclim.org), land cover data from ESA GlobCover (http://due.esrin.esa.int/page_globcover.php), and human population density data from WorldPop (https://www.worldpop.org). All input data are publicly accessible via these sources. Language: English

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