4.8 Article

SEED: A framework for integrating ecological stoichiometry and eco-evolutionary dynamics

期刊

ECOLOGY LETTERS
卷 26, 期 -, 页码 S109-S126

出版社

WILEY
DOI: 10.1111/ele.14285

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carbon; eco-evolutionary feedbacks; ecological stoichiometry; intraspecific variation; microevolution; nitrogen; nutrient; phenotypic plasticity; phosphorus; traits

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Characterizing intraspecific variation and its ecological consequences is a challenge in eco-evolutionary dynamics. Ecological stoichiometry, using elemental variation, is a powerful framework. However, the emphasis on organismal stoichiometry has limited its application. Studying traits as components of an 'elemental phenotype' and their ecological effects is important. A conceptual framework exploring microevolutionary change in the elemental phenotype can generate hypotheses and enhance our ability to explain eco-evolutionary dynamics.
Characterising the extent and sources of intraspecific variation and their ecological consequences is a central challenge in the study of eco-evolutionary dynamics. Ecological stoichiometry, which uses elemental variation of organisms and their environment to understand ecosystem patterns and processes, can be a powerful framework for characterising eco-evolutionary dynamics. However, the current emphasis on the relative content of elements in the body (i.e. organismal stoichiometry) has constrained its application. Intraspecific variation in the rates at which elements are acquired, assimilated, allocated or lost is often greater than the variation in organismal stoichiometry. There is much to gain from studying these traits together as components of an 'elemental phenotype'. Furthermore, each of these traits can have distinct ecological effects that are underappreciated in the current literature. We propose a conceptual framework that explores how microevolutionary change in the elemental phenotype occurs, how its components interact with each other and with other traits, and how its changes can affect a wide range of ecological processes. We demonstrate how the framework can be used to generate novel hypotheses and outline pathways for future research that enhance our ability to explain, analyse and predict eco-evolutionary dynamics.

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