2020
DOI: 10.1111/1365-2656.13149
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Within‐individual trophic variability drives short‐term intraspecific trait variation in natural populations

Abstract: Intraspecific trait variability (ITV) maintains functional diversity in populations and communities, and plays a crucial role in ecological and evolutionary processes such as trophic cascades or speciation. Furthermore, functional variation within a species and its populations can help buffer against harmful environmental changes. Trait variability within species can be observed from differences among populations, and between‐ and within individuals. In animals, ITV can be driven by ontogeny, the environment i… Show more

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Cited by 11 publications
(9 citation statements)
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References 65 publications
(105 reference statements)
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“…Plant ecology has much to share in terms of approaches for better elucidating intraspecific variability, with methods for comparing trait expression across the entirety of environmental gradients and for combining field observations with transplant experiments (“common garden experiments” in plant ecology terms) to tease apart genetic variation and trait plasticity (Ahrens et al, 2021 ; Anderegg et al, 2021 ). Vertebrate ecology also offers methodological insight, with researchers adapting functional diversity indices to incorporate intraspecific data (Manna et al, 2019 ) and statistical modeling of temporal multi‐population studies to disentangle ontogeny from environmental effects (Musseau et al, 2020 ). There are financial and logistical challenges in applying some of these methods to benthic ecology, where assemblages can be very diverse, physically remote, and species often rather small and difficult to study, but work in these other disciplines can guide further developments.…”
Section: Bta In Marine Systems: Advantages and Current Shortcomingsmentioning
confidence: 99%
“…Plant ecology has much to share in terms of approaches for better elucidating intraspecific variability, with methods for comparing trait expression across the entirety of environmental gradients and for combining field observations with transplant experiments (“common garden experiments” in plant ecology terms) to tease apart genetic variation and trait plasticity (Ahrens et al, 2021 ; Anderegg et al, 2021 ). Vertebrate ecology also offers methodological insight, with researchers adapting functional diversity indices to incorporate intraspecific data (Manna et al, 2019 ) and statistical modeling of temporal multi‐population studies to disentangle ontogeny from environmental effects (Musseau et al, 2020 ). There are financial and logistical challenges in applying some of these methods to benthic ecology, where assemblages can be very diverse, physically remote, and species often rather small and difficult to study, but work in these other disciplines can guide further developments.…”
Section: Bta In Marine Systems: Advantages and Current Shortcomingsmentioning
confidence: 99%
“…The variation in trophic position relevant to understanding its evolution is that which arises from heritable phenotypic differences among individuals. There is growing evidence that variation in trophic position within populations can be correlated with heritable traits that are associated with foraging performance, such as body size, aspects of the foraging apparatus and behaviours (Cucherousset et al, 2011 ; Dumont et al, 2016 ; Matthews et al, 2010 ; McCarthy et al, 2004 ; Musseau et al, 2020 ; Post, 2003 ; Wagner et al, 2009 ). For instance, Matthews et al ( 2010 ) showed a correlation between trophic position and gill raker morphology in Gasterosteus aculeatus (threespine stickleback)—a heritable trait that is relevant for foraging performance in the pelagic habitat of lakes (Robinson, 2000 ).…”
Section: Determinants Of Trophic Position Variation Among Individualsmentioning
confidence: 99%
“…δ 13 C values were mathematically corrected for lipid content following methods as described by Post et al (2007). The baseline 13 C value was further corrected to account for variability in basal resources across the sampling sites (Olsson et al 2009;Musseau et al 2020) using the following equation:…”
Section: Bulk Stable Isotope and Fatty Acids Analysismentioning
confidence: 99%