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Mechanisms of individual variation in large herbivore diets: Roles of spatial heterogeneity and state‐dependent foraging

Many populations of consumers consist of relatively specialized individuals that eat only a subset of the foods consumed by the population at large. Although the ecological significance of individual‐level diet variation is recognized, such variation is difficult to document, and its underlying mech...

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Autores principales: Walker, Reena H., Hutchinson, Matthew C., Potter, Arjun B., Becker, Justine A., Long, Ryan A., Pringle, Robert M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078531/
https://www.ncbi.nlm.nih.gov/pubmed/36415899
http://dx.doi.org/10.1002/ecy.3921
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author Walker, Reena H.
Hutchinson, Matthew C.
Potter, Arjun B.
Becker, Justine A.
Long, Ryan A.
Pringle, Robert M.
author_facet Walker, Reena H.
Hutchinson, Matthew C.
Potter, Arjun B.
Becker, Justine A.
Long, Ryan A.
Pringle, Robert M.
author_sort Walker, Reena H.
collection PubMed
description Many populations of consumers consist of relatively specialized individuals that eat only a subset of the foods consumed by the population at large. Although the ecological significance of individual‐level diet variation is recognized, such variation is difficult to document, and its underlying mechanisms are poorly understood. Optimal foraging theory provides a useful framework for predicting how individuals might select different diets, positing that animals balance the “opportunity cost” of stopping to eat an available food item against the cost of searching for something more nutritious; diet composition should be contingent on the distribution of food, and individual foragers should be more selective when they have greater energy reserves to invest in searching for high‐quality foods. We tested these predicted mechanisms of individual niche differentiation by quantifying environmental (resource heterogeneity) and organismal (nutritional condition) determinants of diet in a widespread browsing antelope (bushbuck, Tragelaphus sylvaticus) in an African floodplain‐savanna ecosystem. We quantified individuals' realized dietary niches (taxonomic richness and composition) using DNA metabarcoding of fecal samples collected repeatedly from 15 GPS‐collared animals (range 6–14 samples per individual, median 12). Bushbuck diets were structured by spatial heterogeneity and constrained by individual condition. We observed significant individual‐level partitioning of food plants by bushbuck both within and between two adjacent habitat types (floodplain and woodland). Individuals with home ranges that were closer together and/or had similar vegetation structure (measured using LiDAR) ate more similar diets, supporting the prediction that heterogeneous resource distribution promotes individual differentiation. Individuals in good nutritional condition had significantly narrower diets (fewer plant taxa), searched their home ranges more intensively (intensity‐of‐use index), and had higher‐quality diets (percent digestible protein) than those in poor condition, supporting the prediction that animals with greater endogenous reserves have narrower realized niches because they can invest more time in searching for nutritious foods. Our results support predictions from optimal foraging theory about the energetic basis of individual‐level dietary variation and provide a potentially generalizable framework for understanding how individuals' realized niche width is governed by animal behavior and physiology in heterogeneous landscapes.
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spelling pubmed-100785312023-04-07 Mechanisms of individual variation in large herbivore diets: Roles of spatial heterogeneity and state‐dependent foraging Walker, Reena H. Hutchinson, Matthew C. Potter, Arjun B. Becker, Justine A. Long, Ryan A. Pringle, Robert M. Ecology Articles Many populations of consumers consist of relatively specialized individuals that eat only a subset of the foods consumed by the population at large. Although the ecological significance of individual‐level diet variation is recognized, such variation is difficult to document, and its underlying mechanisms are poorly understood. Optimal foraging theory provides a useful framework for predicting how individuals might select different diets, positing that animals balance the “opportunity cost” of stopping to eat an available food item against the cost of searching for something more nutritious; diet composition should be contingent on the distribution of food, and individual foragers should be more selective when they have greater energy reserves to invest in searching for high‐quality foods. We tested these predicted mechanisms of individual niche differentiation by quantifying environmental (resource heterogeneity) and organismal (nutritional condition) determinants of diet in a widespread browsing antelope (bushbuck, Tragelaphus sylvaticus) in an African floodplain‐savanna ecosystem. We quantified individuals' realized dietary niches (taxonomic richness and composition) using DNA metabarcoding of fecal samples collected repeatedly from 15 GPS‐collared animals (range 6–14 samples per individual, median 12). Bushbuck diets were structured by spatial heterogeneity and constrained by individual condition. We observed significant individual‐level partitioning of food plants by bushbuck both within and between two adjacent habitat types (floodplain and woodland). Individuals with home ranges that were closer together and/or had similar vegetation structure (measured using LiDAR) ate more similar diets, supporting the prediction that heterogeneous resource distribution promotes individual differentiation. Individuals in good nutritional condition had significantly narrower diets (fewer plant taxa), searched their home ranges more intensively (intensity‐of‐use index), and had higher‐quality diets (percent digestible protein) than those in poor condition, supporting the prediction that animals with greater endogenous reserves have narrower realized niches because they can invest more time in searching for nutritious foods. Our results support predictions from optimal foraging theory about the energetic basis of individual‐level dietary variation and provide a potentially generalizable framework for understanding how individuals' realized niche width is governed by animal behavior and physiology in heterogeneous landscapes. John Wiley & Sons, Inc. 2023-01-03 2023-02 /pmc/articles/PMC10078531/ /pubmed/36415899 http://dx.doi.org/10.1002/ecy.3921 Text en © 2022 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Walker, Reena H.
Hutchinson, Matthew C.
Potter, Arjun B.
Becker, Justine A.
Long, Ryan A.
Pringle, Robert M.
Mechanisms of individual variation in large herbivore diets: Roles of spatial heterogeneity and state‐dependent foraging
title Mechanisms of individual variation in large herbivore diets: Roles of spatial heterogeneity and state‐dependent foraging
title_full Mechanisms of individual variation in large herbivore diets: Roles of spatial heterogeneity and state‐dependent foraging
title_fullStr Mechanisms of individual variation in large herbivore diets: Roles of spatial heterogeneity and state‐dependent foraging
title_full_unstemmed Mechanisms of individual variation in large herbivore diets: Roles of spatial heterogeneity and state‐dependent foraging
title_short Mechanisms of individual variation in large herbivore diets: Roles of spatial heterogeneity and state‐dependent foraging
title_sort mechanisms of individual variation in large herbivore diets: roles of spatial heterogeneity and state‐dependent foraging
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078531/
https://www.ncbi.nlm.nih.gov/pubmed/36415899
http://dx.doi.org/10.1002/ecy.3921
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