Back

Livestock Landscapes as Ecological Filters: Effects of the Tree Cover Gradient on the Taxonomic and Functional Diversity of Granivorous Birds in the Colombian Amazon

Diaz-Chaux, J. T.; Velasquez-Valencia, A.; Navarro-Morales, A.; Casanoves, F.

2025-08-01 ecology
10.1101/2025.07.29.667560 bioRxiv
Show abstract

Livestock landscapes in the Colombian Amazon are undergoing rapid land-use changes, leading to the structural simplification of vegetation and the loss of avifauna and its ecological functions. This study evaluated the effect of tree cover as an ecological filter on the taxonomic and functional diversity of granivorous birds within livestock mosaics. Eight livestock landscape mosaics were analyzed and classified based on tree cover into open, semi-open, and semi-closed categories. Bird surveys were conducted using point counts and mist netting, and eight morphological traits were measured across the 22 recorded species. Five functional diversity indices were calculated to assess the response to the tree cover gradient through their morphological traits. A reduction in tree cover excludes functionally specialized species and favors generalist communities with redundant traits. Semi-closed and semi-open covers harbored higher functional and taxonomic diversity, showing high levels of richness and functional evenness, with niche complementarity. Open pastures exhibited lower trait variability and clustering with reduced ecological functionality. Larger granivorous species were associated with denser vegetation, whereas smaller species were linked to more open, highly disturbed areas. Greater tree cover promotes the coexistence of granivorous bird species by increasing the availability of microhabitats and resource diversity, which are exploited by species with different functional traits. This highlights the importance of conserving structurally complex vegetation within livestock matrices, using silvopastoral systems to enhance the resilience and functionality of productive Amazonian landscapes.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.