• search hit 9 of 73
Back to Result List

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.show moreshow less

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Apostolos-Manuel Koussoroplis, Sylvain Pincebourde, Alexander WackerORCiDGND
DOI:https://doi.org/10.1002/ecm.1247
ISSN:0012-9615
ISSN:1557-7015
Title of parent work (English):Ecological monographs : a publication of the Ecological Society of America.
Publisher:Wiley
Place of publishing:Hoboken
Publication type:Article
Language:English
Year of first publication:2017
Publication year:2017
Release date:2020/04/20
Tag:co-limitation; covariance; eco-physiology; feeding rate; global change; multiple stressors; nonlinear averaging; nutrients; scale transition; temperature; temporal ecology; variance
Volume:87
Number of pages:20
First page:178
Last Page:197
Funding 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]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
Peer review:Referiert
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.