A temperature-dependent metacommunity framework for understanding biodiversity change with warming

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Abstract

A current challenge in ecology is to understand and predict how species abundance and diversity change with rapidly shifting temperature regimes. Temperature affects the local and regional dynamics underlying community structure in predictable ways, but whether this translates to predictable community-level outcomes with warming remains an open question. We address this gap with a framework that draws from metabolic theory to model temperature-dependent metacommunity processes—density-independent population growth, density-dependent biotic interactions, and dispersal—and their effects on diversity patterns. We simulated metacommunity dynamics to show how species richness, relative abundance, and beta diversity respond to up to 10°C warming, exploring effects of variation in thermal response curves for different metacommunity processes. We demonstrate how factors such as thermal safety margins and thermal asymmetries among metacommunity processes mediate the magnitude of this change. Our framework highlights the importance of incorporating dispersal and species interactions, as well as accurately identifying their thermal response curves, in predictive models of diversity change.
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Abstract

A current challenge in ecology is to understand and predict how species abundance and diversity change with rapidly shifting temperature regimes. Temperature affects the local and regional dynamics underlying community structure in predictable ways, but whether this translates to predictable community-level outcomes with warming remains an open question. We address this gap with a framework that draws from metabolic theory to model temperature-dependent metacommunity processes—density-independent population growth, density-dependent biotic interactions, and dispersal—and their effects on diversity patterns. We simulated metacommunity dynamics to show how species richness, relative abundance, and beta diversity respond to up to 10°C warming, exploring effects of variation in thermal response curves for different metacommunity processes. We demonstrate how factors such as thermal safety margins and thermal asymmetries among metacommunity processes mediate the magnitude of this change. Our framework highlights the importance of incorporating dispersal and species interactions, as well as accurately identifying their thermal response curves, in predictive models of diversity change. Supplementary Material File (ch3_simulating_metabolic_metacommunities.pdf) - Download - 1.21 MB Information & Authors Information Version history Copyright This work is licensed under a Non Exclusive No Reuse License.

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Authors Metrics & Citations Metrics Article Usage 269views 230downloads Citations Download citation Keila Stark, Mary O'Connor. A temperature-dependent metacommunity framework for understanding biodiversity change with warming. Authorea. 06 February 2025. DOI: https://doi.org/10.22541/au.173885019.92168004/v1 DOI: https://doi.org/10.22541/au.173885019.92168004/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.

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last seen: 2026-05-20T01:45:00.602351+00:00