Population context matters: Predicting the effects of metabolic stress mediated by food availability and predation with an agent- and energy budget-based model

Maxime Vaugeois; Paul A. Venturelli; Stephanie L. Hummel; Chiara Accolla; Valery E. Forbes

doi:10.1016/j.ecolmodel.2019.108903

Population context matters: Predicting the effects of metabolic stress mediated by food availability and predation with an agent- and energy budget-based model

Maxime Vaugeois, Paul A. Venturelli, Stephanie L. Hummel, Chiara Accolla, Valery E. Forbes

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

Population effects of stressors, such as toxic chemicals or increased temperatures, affecting the energy budgets of organisms are mediated by predation pressure and food availability. However, these two population contexts have mostly been considered separately. Moreover, because the sensitivity of the different pathways of energy to stress may differ, it is difficult to predict combined stressor effects. We used an agent-based model of fathead minnows (Pimephales promelas) to infer the population-level impacts of a hypothetical, sublethal stressor that affects an individual's metabolism (growth, reproduction, maintenance, or assimilation) in systems in which population size is controlled by different combinations of food availability and predation. We found that population-level effects are rarely directly proportional to individual-level effects, and were greater when the stressor impacted assimilation and populations were predation-controlled. Our results suggest that individual-level measurements alone are insufficient for inferring population-level impacts of stressors and that accurate inference hinges on insight into how populations are regulated. We suggest incorporating individual-level data into mechanistic models that take into account both the energy budgets of individuals and the population-level context.

Original language	English (US)
Article number	108903
Journal	Ecological Modelling
Volume	416
DOIs	https://doi.org/10.1016/j.ecolmodel.2019.108903
State	Published - Jan 15 2020

Bibliographical note

Funding Information:
We thank Volker Grimm for his comments on the manuscript. We also thank two anonymous reviewers for their comments. Finally, we thank Pamela Rueda-Cediel and Adrian Moore for helpful discussions. The findings and conclusions in this article are those of the author(s) and do not necessarily represent the views of the U.S. Fish and Wildlife Service or the U.S. Environmental Protection Agency. Funding was provided from the Great Lakes Restoration Initiative through the U.S. Fish and Wildlife Service´s Contaminants of Emerging Concern Team. Appendix A

Funding Information:
We thank Volker Grimm for his comments on the manuscript. We also thank two anonymous reviewers for their comments. Finally, we thank Pamela Rueda-Cediel and Adrian Moore for helpful discussions. The findings and conclusions in this article are those of the author(s) and do not necessarily represent the views of the U.S. Fish and Wildlife Service or the U.S. Environmental Protection Agency. Funding was provided from the Great Lakes Restoration Initiative through the U.S. Fish and Wildlife Service?s Contaminants of Emerging Concern Team.

Publisher Copyright:
© 2019 Elsevier B.V.

Keywords

Context-dependent stressor effects
Dynamic energy budget theory
Ecological risk assessment
Individual-based model
Population regulating factors
Population-level effects of stressors

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10.1016/j.ecolmodel.2019.108903

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title = "Population context matters: Predicting the effects of metabolic stress mediated by food availability and predation with an agent- and energy budget-based model",

abstract = "Population effects of stressors, such as toxic chemicals or increased temperatures, affecting the energy budgets of organisms are mediated by predation pressure and food availability. However, these two population contexts have mostly been considered separately. Moreover, because the sensitivity of the different pathways of energy to stress may differ, it is difficult to predict combined stressor effects. We used an agent-based model of fathead minnows (Pimephales promelas) to infer the population-level impacts of a hypothetical, sublethal stressor that affects an individual's metabolism (growth, reproduction, maintenance, or assimilation) in systems in which population size is controlled by different combinations of food availability and predation. We found that population-level effects are rarely directly proportional to individual-level effects, and were greater when the stressor impacted assimilation and populations were predation-controlled. Our results suggest that individual-level measurements alone are insufficient for inferring population-level impacts of stressors and that accurate inference hinges on insight into how populations are regulated. We suggest incorporating individual-level data into mechanistic models that take into account both the energy budgets of individuals and the population-level context.",

keywords = "Context-dependent stressor effects, Dynamic energy budget theory, Ecological risk assessment, Individual-based model, Population regulating factors, Population-level effects of stressors",

author = "Maxime Vaugeois and Venturelli, {Paul A.} and Hummel, {Stephanie L.} and Chiara Accolla and Forbes, {Valery E.}",

note = "Funding Information: We thank Volker Grimm for his comments on the manuscript. We also thank two anonymous reviewers for their comments. Finally, we thank Pamela Rueda-Cediel and Adrian Moore for helpful discussions. The findings and conclusions in this article are those of the author(s) and do not necessarily represent the views of the U.S. Fish and Wildlife Service or the U.S. Environmental Protection Agency. Funding was provided from the Great Lakes Restoration Initiative through the U.S. Fish and Wildlife Service´s Contaminants of Emerging Concern Team. Appendix A Funding Information: We thank Volker Grimm for his comments on the manuscript. We also thank two anonymous reviewers for their comments. Finally, we thank Pamela Rueda-Cediel and Adrian Moore for helpful discussions. The findings and conclusions in this article are those of the author(s) and do not necessarily represent the views of the U.S. Fish and Wildlife Service or the U.S. Environmental Protection Agency. Funding was provided from the Great Lakes Restoration Initiative through the U.S. Fish and Wildlife Service?s Contaminants of Emerging Concern Team. Publisher Copyright: {\textcopyright} 2019 Elsevier B.V.",

year = "2020",

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doi = "10.1016/j.ecolmodel.2019.108903",

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AU - Vaugeois, Maxime

AU - Venturelli, Paul A.

AU - Hummel, Stephanie L.

AU - Accolla, Chiara

AU - Forbes, Valery E.

N1 - Funding Information: We thank Volker Grimm for his comments on the manuscript. We also thank two anonymous reviewers for their comments. Finally, we thank Pamela Rueda-Cediel and Adrian Moore for helpful discussions. The findings and conclusions in this article are those of the author(s) and do not necessarily represent the views of the U.S. Fish and Wildlife Service or the U.S. Environmental Protection Agency. Funding was provided from the Great Lakes Restoration Initiative through the U.S. Fish and Wildlife Service´s Contaminants of Emerging Concern Team. Appendix A Funding Information: We thank Volker Grimm for his comments on the manuscript. We also thank two anonymous reviewers for their comments. Finally, we thank Pamela Rueda-Cediel and Adrian Moore for helpful discussions. The findings and conclusions in this article are those of the author(s) and do not necessarily represent the views of the U.S. Fish and Wildlife Service or the U.S. Environmental Protection Agency. Funding was provided from the Great Lakes Restoration Initiative through the U.S. Fish and Wildlife Service?s Contaminants of Emerging Concern Team. Publisher Copyright: © 2019 Elsevier B.V.

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N2 - Population effects of stressors, such as toxic chemicals or increased temperatures, affecting the energy budgets of organisms are mediated by predation pressure and food availability. However, these two population contexts have mostly been considered separately. Moreover, because the sensitivity of the different pathways of energy to stress may differ, it is difficult to predict combined stressor effects. We used an agent-based model of fathead minnows (Pimephales promelas) to infer the population-level impacts of a hypothetical, sublethal stressor that affects an individual's metabolism (growth, reproduction, maintenance, or assimilation) in systems in which population size is controlled by different combinations of food availability and predation. We found that population-level effects are rarely directly proportional to individual-level effects, and were greater when the stressor impacted assimilation and populations were predation-controlled. Our results suggest that individual-level measurements alone are insufficient for inferring population-level impacts of stressors and that accurate inference hinges on insight into how populations are regulated. We suggest incorporating individual-level data into mechanistic models that take into account both the energy budgets of individuals and the population-level context.

AB - Population effects of stressors, such as toxic chemicals or increased temperatures, affecting the energy budgets of organisms are mediated by predation pressure and food availability. However, these two population contexts have mostly been considered separately. Moreover, because the sensitivity of the different pathways of energy to stress may differ, it is difficult to predict combined stressor effects. We used an agent-based model of fathead minnows (Pimephales promelas) to infer the population-level impacts of a hypothetical, sublethal stressor that affects an individual's metabolism (growth, reproduction, maintenance, or assimilation) in systems in which population size is controlled by different combinations of food availability and predation. We found that population-level effects are rarely directly proportional to individual-level effects, and were greater when the stressor impacted assimilation and populations were predation-controlled. Our results suggest that individual-level measurements alone are insufficient for inferring population-level impacts of stressors and that accurate inference hinges on insight into how populations are regulated. We suggest incorporating individual-level data into mechanistic models that take into account both the energy budgets of individuals and the population-level context.

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KW - Ecological risk assessment

KW - Individual-based model

KW - Population regulating factors

KW - Population-level effects of stressors

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Population context matters: Predicting the effects of metabolic stress mediated by food availability and predation with an agent- and energy budget-based model

Abstract

Bibliographical note

Keywords

Publisher link

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Individual-Based-Model used in "Population context matters: predicting effects of metabolic stress mediated by food availability and predation with an agent- and energy budget-based model"

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Population context matters: Predicting the effects of metabolic stress mediated by food availability and predation with an agent- and energy budget-based model

Abstract

Bibliographical note

Keywords

Publisher link

Find It

Other files and links

Fingerprint

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Individual-Based-Model used in "Population context matters: predicting effects of metabolic stress mediated by food availability and predation with an agent- and energy budget-based model"

Cite this