Dynamic Resource Partitioning in a Marine Predator Community

ABSTRACT To avoid competition, species partition resource‐use along various niche axes. However, variable resource availability, especially within dynamic environments, may influence this partitioning. Theory predicts that species will contract their ecological niche to limit competition during times of resource scarcity. We analysed blood δ 13 C and δ 15 N composition in four albatrosses, four penguin, two giant petrel and two fur seal species breeding on sub‐Antarctic Marion Island, during two seasons (autumn and summer) over 3 years. Using the species' seasonal stable isotopic niche space as a proxy for trophic niche space, we investigated their trophic dynamics and maintenance of inter‐specific resource partitioning. There were significant variations in the seasonal and inter‐annual trophic niches of these predators. However, despite this high seasonal and annual variability, resource partitioning among the species was maintained over time. Between years, there was greater variability in the species' trophic niches in autumn than in summer. This might reflect species being better able to track productive dynamic oceanographic features during autumn, when most species are less spatially constrained by breeding commitments compared to during summer. Our results indicate that most of these marine predators have foraging behaviours that are either sufficiently flexible or general to cope with resources that are variable in space and time. Their foraging strategies minimise inter‐specific overlap in food or foraging habitat preferences, potentially resulting from historic or present competition for resources.

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Publication Details

Journal
Ecology and Evolution
Published
2026-11-01
DOI
https://doi.org/10.1002/ece3.74579
Primary Topic
Isotope Analysis in Ecology
Type
article
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article

Dynamic Resource Partitioning in a Marine Predator Community

Tegan Carpenter‐Kling, Ryan Rudolf Reisinger, Maëlle Connan, A. B. Makhado et al.
Ecology and Evolution
Isotope Analysis in Ecology
article

Dynamic Resource Partitioning in a Marine Predator Community

Tegan Carpenter‐Kling, Ryan Rudolf Reisinger, Maëlle Connan, A. B. Makhado, P. A. Pistorius, P. G. Ryan
article en

Abstract

ABSTRACT To avoid competition, species partition resource‐use along various niche axes. However, variable resource availability, especially within dynamic environments, may influence this partitioning. Theory predicts that species will contract their ecological niche to limit competition during times of resource scarcity. We analysed blood δ 13 C and δ 15 N composition in four albatrosses, four penguin, two giant petrel and two fur seal species breeding on sub‐Antarctic Marion Island, during two seasons (autumn and summer) over 3 years. Using the species' seasonal stable isotopic niche space as a proxy for trophic niche space, we investigated their trophic dynamics and maintenance of inter‐specific resource partitioning. There were significant variations in the seasonal and inter‐annual trophic niches of these predators. However, despite this high seasonal and annual variability, resource partitioning among the species was maintained over time. Between years, there was greater variability in the species' trophic niches in autumn than in summer. This might reflect species being better able to track productive dynamic oceanographic features during autumn, when most species are less spatially constrained by breeding commitments compared to during summer. Our results indicate that most of these marine predators have foraging behaviours that are either sufficiently flexible or general to cope with resources that are variable in space and time. Their foraging strategies minimise inter‐specific overlap in food or foraging habitat preferences, potentially resulting from historic or present competition for resources.

Ecology and EvolutionVol. 16(11)
University of Cape Town (ZA), National Oceanography Centre (GB), Department of Forestry, Fisheries and the Environment (ZA), University of Southampton (GB), FitzPatrick Institute of African Ornithology (ZA), Nelson Mandela University (ZA)
Openalex Percentile: Top 16%
Isotope Analysis in Ecology
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