Rainforest carnivore ecology in a managed forest reserve: Differential seasonal correlates between habitat components and relative abundance
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Abstract
Studies of relationships between seasons and Neotropical carnivore distributions tend to focus on water and prey availability without considering other habitat components such as escape, foraging, and resting cover. Our goal was to evaluate habitat characteristics that may be important for predicting the seasonal (dry or rainy) relative abundance of four commonly captured Neotropical carnivores (i.e., jaguar [Panthera onca], puma [Puma concolor], ocelot [Leopardus pardalis], and grey fox [Urocyon cinereoargenteus]) in Chiquibul Forest Reserve in Belize, Central America. We used trail camera data and random-effect Poisson models to investigate how prey ratios (number of prey detections/total detections), cover (e.g., logs and stumps used for hiding cover from predators), vegetation structure, and environmental site characteristics (e.g., site harvest-history, slope, aspect) were related to carnivore relative abundance. Both prey ratios and vegetation structure appeared in supported models more frequently than other environmental site characteristics and were negatively correlated with carnivore relative abundance. Supported models differed for each season for all species except jaguars for which mammalian prey ratios and prey cover at sites was always negatively correlated with jaguar relative abundance. Carnivores appeared to avoid sites where vegetation created ideal escape and hiding cover for prey even though prey may be less abundant. Our data suggest that vegetation structure and composition can create conditions conducive to carnivore foraging and that these characteristics can differ by season in the tropics.
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Rainforest carnivore ecology in a managed forest reserve: Differential seasonal correlates between habitat components and relative abundance |
Series title | Biological Conservation |
DOI | 10.1016/j.biocon.2022.109814 |
Volume | 276 |
Year Published | 2022 |
Language | English |
Publisher | Elsevier |
Contributing office(s) | Northern Rocky Mountain Science Center |
Description | 109814 |
Google Analytic Metrics | Metrics page |