Resource and seasonality drive interspecific variability in simulations from a dynamic energy budget model

Author:

Mariño Joany1,Dufour Suzanne C1,Hurford Amy12,Récapet Charlotte3

Affiliation:

1. Memorial University of Newfoundland Department of Biology, 45 Arctic Ave., St John’s, Newfoundland, Canada A1C 5S7

2. Memorial University of Newfoundland Department of Mathematics and Statistics, . Elizabeth Avenue, St John’s, Newfoundland, Canada A1C 5S7

3. Université de Pau et des Pays de l’Adour , E2S UPPA, INRAE, ECOBIOP. Quartier Ibarron 64210, Saint-Pée-sur-Nivelle, France

Abstract

AbstractAnimals show a vast array of phenotypic traits in time and space. Such variation patterns have traditionally been described as ecogeographical rules; for example, the tendency of size and clutch size to increase with latitude (Bergmann's and Lack's rules, respectively). Despite considerable research into these variation patterns and their consequences for biodiversity and conservation, the processes behind trait variation remain controversial. Here, we show how food variability, largely set by climate and weather, can drive interspecific trait variation by determining individual energy input and allocation trade-offs. Using a dynamic energy budget (DEB) model, we simulated different food environments, as well as interspecific variability in the parameters for energy assimilation, mobilization and allocation to soma. We found that interspecific variability is greater when the resource is non-limiting in both constant and seasonal environments. Our findings further show that individuals can reach larger biomass and greater reproductive output in a seasonal environment than in a constant environment of equal average resource due to the peaks of food surplus. Our results agree with the classical patterns of interspecific trait variation and provide a mechanistic understanding that supports recent hypotheses which explain them: the resource and the eNPP (net primary production during the growing season) rules. Due to the current alterations to ecosystems and communities, disentangling the mechanisms of trait variation is increasingly important to understand and predict biodiversity dynamics under climate change, as well as to improve conservation strategies.

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Ecological Modeling,Physiology

Reference117 articles.

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