Have a personal or library account? Click to login
Activity patterns and habitat selection by terrestrial mammals in a mosaic landscape of silvopastoral system and forest fragments in the Andean piedmont in Colombia Cover

Activity patterns and habitat selection by terrestrial mammals in a mosaic landscape of silvopastoral system and forest fragments in the Andean piedmont in Colombia

Open Access
|Jul 2025

Abstract

Traditional livestock ranching impacts biodiversity by fragmenting and isolating habitats first as habitat loss, then as habitat isolation, affecting local fauna that occupies native habitats that rely on forest. In degraded areas, silvopastoral systems (SPS) are an agroforestry practice that integrates trees and livestock and they could provide new habitats for this fauna, though their effects are not well understood for Neotropical mammalian assemblages. This study assessed habitat selection and activity patterns in the Andes piedmont of Colombia. Using camera traps, we evaluated records in an intervened area, which was located around two fragments of native forest. A total of 17 mammal species were recorded, with 5 species using the SPS, of which Cerdocyon thous was exclusive to the SPS, whereas 12 species were found only in the forest, including six carnivorous species. Two anteater species showed overlapping activity in the forest but different patterns in the SPS. Despite more anteater records in the forest, both species selected the SPS. These results suggest that SPS could benefit certain species and alter interactions among Neotropical mammals.

DOI: https://doi.org/10.2478/foecol-2025-0016 | Journal eISSN: 1338-7014 | Journal ISSN: 1336-5266
Language: English
Page range: 162 - 173
Submitted on: Feb 11, 2025
|
Accepted on: Jun 10, 2025
|
Published on: Jul 23, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2025 Gabriela Moreno, Diego J. Lizcano, Francisco Sánchez, published by Slovak Academy of Sciences, Institute of Forest Ecology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.