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The effects of morphology,phylogeny and prey availability on trophic resource partitioning in an anuran community
Institution:1. Pós-graduação em Biologia Animal, Instituto de Biociências, Universidade Federal do Mato Grosso do Sul, 79070-900 Campo Grande, Mato Grosso do Sul, Brazil;2. Pós-Graduação em Ecologia e Conservação, Instituto de Biociências, Universidade Federal do Mato Grosso do Sul, 79070-900 Campo Grande, Mato Grosso do Sul, Brazil;3. Projeto Dacnis, São Francisco Xavier, São Paulo, Brazil;4. Instituto de Biociências, Universidade Federal do Mato Grosso do Sul, 79070-900 Campo Grande, Mato Grosso do Sul, Brazil;5. Gothenburg Global Biodiversity Centre, Box 100, S-405 30 Göteborg, Sweden;1. Programa de Pós-Graduação em Ecologia e Recursos Naturais, Universidade Federal de São Carlos, São Carlos, São Paulo, Brazil;2. Instituto de Biociências, Universidade Federal de Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil;3. Gothenburg Global Biodiversity Center, Box 100, S-405 SE, Göteborg, Sweden;4. Freshwater Center, Finnish Environment Institute, Paavo Havaksen Tie 3, Oulu FI-90570, Finland;5. Laboratório de Ecologia Teórica: Integrando Tempo, Biologia e Espaço (LET.IT.BE), Departamento de Ciências Ambientais, Universidade Federal de São Carlos, Sorocaba, São Paulo, Brazil;1. IFEVA, Universidad de Buenos Aires, CONICET, Facultad de Agronomía. Av. San Martín 4453-C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina;2. Centro Regional de Geomática (CEREGEO), Universidad Autónoma de Entre Rios, Matteri y España s/n, CP E3105BWA. Diamante, Entre Ríos Argentina;3. Instituto de Ciencias Biológicas, Universidad de Talca, Talca, Chile
Abstract:Several factors influence the partitioning of trophic resources in ecological communities, such as morphology, evolutionary history, and resource availability. Although the effects of morphology, phylogeny, and resource availability on trophic ecology have long been explored by theoretical studies, little has been done to empirically test these relationships. Here, we tested whether phylogenetic and morphological distances correlate with trophic niche overlap using a path analysis of multiple partial regression of distance matrices. Also, we tested whether niche breadth is influenced by body size using Phylogenetic Generalized Least Squares analysis. Trophic niche overlap was better explained by morphology per se than by the phylogenetic distance. We also found that predator's body size influences niche breadth calculated considering prey traits and availability, but not when we do not include these availability data. Additionally, trophic niche breadth was usually smaller when we considered prey traits and availability, differently from niche overlap, whose values increased when we did not consider these data. Our findings show that the interpretation of trophic niche in communities changes if we consider availability data, affecting inferences about coexistence and trophic specialization. Our study contributes to understanding trophic specialization and emphasizes the importance of incorporating prey availability and their traits into diet analysis.
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