Modeling habitat suitability and current distribution of the Maghreb magpie (Pica mauritanica).

The Maghreb magpie (Pica mauritanica) is an endemic bird to North Africa, encompassing Algeria, Morocco, and Tunisia. Unfortunately, its population is facing a significant decline primarily attributed to habitat loss and fragmentation resulting from urbanization and agricultural practices. Due to the lack of large-scale studies on habitat requirements of Pica mauritanica, investigating the habitat preferences of this species and understanding the potential threats remain crucial for effective conservation strategies. We performed species distribution model (SDM), incorporating both occurrence records and predictor variables, to investigate the potentially suitable habitat and the factors influencing the distribution of the Maghreb magpie (Pica mauritanica) in North Africa. Among the environmental predictors examined, the enhanced vegetation index (EVI), elevation, and human settlement have been identified as key factors influencing habitat suitability. Specifically, EVI and human settlements positively contribute to suitability, while precipitation and temperature exert negative effects. The SDM results were consistent with our field observations, indicating that Pica mauritanica tends to avoid urban settlements or densely forested regions, thus preferring village farm areas, especially during the breeding period. The model forecasts high habitat suitability for Pica mauritanica along the eastern coastal regions of Tunisia, the western coastal areas and the High Atlas Mountain range of Morocco, as well as the Hautes Plaines region in Algeria, with a fragmented patch pattern. To ensure the sustainable survival of Pica mauritanica, we endorse the preservation of traditional farming practices, where farmland birds are mainly impacted by agricultural intensification and land use changes. Further extensive studies are needed to determine population size and explore habitat requirements at a micro-scale to guide conservation priorities. [ABSTRACT FROM AUTHOR]