Browsing by Author "Asanbe, Bernard"

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    Assessing patterns of extinction risk among mammal species in Nigeria: a comparative analysis of human impact
    (2025-08-15) Asanbe, Bernard; University of Gothenburg / Department of Biological and Environmental Sciences; Göteborgs universitet / Institutionen för biologi och miljövetenskap
    This study aimed to evaluate how biological traits influence extinction risk among mammal species in Nigeria, and how these traits interact with specific anthropogenic threats such as agriculture, urbanization and climate change. Focusing on mammal species in Nigeria, we used phylogenetic logistic regression to test the influence of five biological traits: body mass, brain mass, generation time, current geographic range and historical range contraction, on extinction risk across 9 IUCN threat categories. Standardized models were used to compare trait sensitivity across threats. Brain mass emerged as the most consistent and influential predictor of extinction risk, particularly under threats such as agriculture, biological resource use and urban development. Species with larger brains, often primates and carnivores, were highly vulnerable. Geographic range size was a strong negative predictor of risk across most models, with range-restricted species more susceptible to habitat loss and fragmentation. Generation time was positively associated with risk under direct human pressures but inversely linked under climate threats. Body mass showed weak and inconsistent effects, which suggests its influence may be secondary to cognitive or spatial traits. The number of species affected was highest under human threats, compared to climate change or pollution. Extinction risk in Nigerian mammals is shaped by intrinsic traits that interact predictably with human pressures. Species with large brains, small ranges and slow reproduction are at greatest risk. Trait-based models can improve conservation planning by identifying vulnerable species before population declines become critical, especially in regions facing intensive land-use change.