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Understanding and predicting physiological performance of organisms in fluctuating and multifactorial environments

  • Understanding how variance in environmental factors affects physiological performance, population growth, and persistence is central in ecology. Despite recent interest in the effects of variance in single biological drivers, such as temperature, we have lacked a comprehensive framework for predicting how the variances and covariances between multiple environmental factors will affect physiological rates. Here, we integrate current theory on variance effects with co-limitation theory into a single unified conceptual framework that has general applicability. We show how the framework can be applied (1) to generate mathematically tractable predictions of the physiological effects of multiple fluctuating co-limiting factors, (2) to understand how each co-limiting factor contributes to these effects, and (3) to detect mechanisms such as acclimation or physiological stress when they are at play. We show that the statistical covariance of co-limiting factors, which has not been considered before, can be a strong driver of physiologicalUnderstanding how variance in environmental factors affects physiological performance, population growth, and persistence is central in ecology. Despite recent interest in the effects of variance in single biological drivers, such as temperature, we have lacked a comprehensive framework for predicting how the variances and covariances between multiple environmental factors will affect physiological rates. Here, we integrate current theory on variance effects with co-limitation theory into a single unified conceptual framework that has general applicability. We show how the framework can be applied (1) to generate mathematically tractable predictions of the physiological effects of multiple fluctuating co-limiting factors, (2) to understand how each co-limiting factor contributes to these effects, and (3) to detect mechanisms such as acclimation or physiological stress when they are at play. We show that the statistical covariance of co-limiting factors, which has not been considered before, can be a strong driver of physiological performance in various ecological contexts. Our framework can provide powerful insights on how the global change-induced shifts in multiple environmental factors affect the physiological performance of organisms.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Apostolos-Manuel Koussoroplis, Sylvain Pincebourde, Alexander WackerORCiDGND
DOI:https://doi.org/10.1002/ecm.1247
ISSN:0012-9615
ISSN:1557-7015
Titel des übergeordneten Werks (Englisch):Ecological monographs : a publication of the Ecological Society of America.
Verlag:Wiley
Verlagsort:Hoboken
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2017
Erscheinungsjahr:2017
Datum der Freischaltung:20.04.2020
Freies Schlagwort / Tag:co-limitation; covariance; eco-physiology; feeding rate; global change; multiple stressors; nonlinear averaging; nutrients; scale transition; temperature; temporal ecology; variance
Band:87
Seitenanzahl:20
Erste Seite:178
Letzte Seite:197
Fördernde Institution:German Research Foundation [DFG: WA2445/8-1, WA2445/9-1, KO5330/1-1]; Agence National pour la Recherche (MicroCliMite) [ANR-2010 BLAN-1706-02]
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
Peer Review:Referiert
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