Genetic and plastic rewiring of food webs under climate change

Barbour, Matthew A.; Gibert, Jean P.

doi:10.1111/1365-2656.13541

Title: Genetic and plastic rewiring of food webs under climate change

Journal Article · 21 June 2021 · Journal of Animal Ecology

DOI: https://doi.org/10.1111/1365-2656.13541 · OSTI ID:1797997

^[1];

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Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
Department of Biology Duke University Durham NC USA

Abstract Climate change is altering ecological and evolutionary processes across biological scales. These simultaneous effects of climate change pose a major challenge for predicting the future state of populations, communities and ecosystems. This challenge is further exacerbated by the current lack of integration of research focused on these different scales. We propose that integrating the fields of quantitative genetics and food web ecology will reveal new insights on how climate change may reorganize biodiversity across levels of organization. This is because quantitative genetics links the genotypes of individuals to population‐level phenotypic variation due to genetic (G), environmental (E) and gene‐by‐environment (G × E) factors. Food web ecology, on the other hand, links population‐level phenotypes to the structure and dynamics of communities and ecosystems. We synthesize data and theory across these fields and find evidence that genetic (G) and plastic (E and G × E) phenotypic variation within populations will change in magnitude under new climates in predictable ways. We then show how changes in these sources of phenotypic variation can rewire food webs by altering the number and strength of species interactions, with consequences for ecosystem resilience. We also find evidence suggesting there are predictable asymmetries in genetic and plastic trait variation across trophic levels, which set the pace for phenotypic change and food web responses to climate change. Advances in genomics now make it possible to partition G, E and G × E phenotypic variation in natural populations, allowing tests of the hypotheses we propose. By synthesizing advances in quantitative genetics and food web ecology, we provide testable predictions for how the structure and dynamics of biodiversity will respond to climate change.

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Research Organization:: Duke Univ., Durham, NC (United States)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: SC0020362

OSTI ID:: 1797997

Journal Information:: Journal of Animal Ecology, Journal Name: Journal of Animal Ecology Journal Issue: 8 Vol. 90; ISSN 0021-8790

Publisher:: Wiley-BlackwellCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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