Subtle Differences in the Representation of Consumer Dynamics Have Large Effects in Marine Food Web Models

Projecting ocean biogeochemistry and fisheries resources under climate change requires confidence in simulation models. Core to such models is the description of consumer dynamics relating prey abundance to capture, digestion efficiency and growth rate. Capture is most commonly described as a linear...

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Autores principales:	Kevin J. Flynn, Douglas C. Speirs, Michael R. Heath, Aditee Mitra
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	consumer dynamics monod grazing holling feeding kinetics trophic dynamics predator-prey Science Q General. Including nature conservation, geographical distribution QH1-199.5
Acceso en línea:	https://doaj.org/article/52d8689bc8d44101bb1d123cfece6908
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spelling	oai:doaj.org-article:52d8689bc8d44101bb1d123cfece69082021-11-16T04:34:33ZSubtle Differences in the Representation of Consumer Dynamics Have Large Effects in Marine Food Web Models2296-774510.3389/fmars.2021.638892https://doaj.org/article/52d8689bc8d44101bb1d123cfece69082021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmars.2021.638892/fullhttps://doaj.org/toc/2296-7745Projecting ocean biogeochemistry and fisheries resources under climate change requires confidence in simulation models. Core to such models is the description of consumer dynamics relating prey abundance to capture, digestion efficiency and growth rate. Capture is most commonly described as a linear function of prey encounter or by rectangular hyperbola. Most models also describe consumers as eating machines which “live-to-eat,” where growth (μ) is limited by a maximum grazing rate (Gmax). Real consumers can feed much faster than needed to support their maximum growth rate (μmax); with feeding modulated by satiation, they “eat-to-live.” A set of strategic analyses were conducted of these alternative philosophies of prey consumption dynamics and testing of their effects in the StrathE2E end-to-end marine food web and fisheries model. In an experiment where assimilation efficiencies were decreased by 10%, such as might result from a change in temperature or ocean acidity, the different formulation resulted in up to 100% variation in the change in abundances of food web components, especially in the mid-trophic levels. Our analysis points to a need for re-evaluation of some long-accepted principles in consumer-resource modeling.Kevin J. FlynnDouglas C. SpeirsMichael R. HeathAditee MitraFrontiers Media S.A.articleconsumer dynamicsmonod grazinghollingfeeding kineticstrophic dynamicspredator-preyScienceQGeneral. Including nature conservation, geographical distributionQH1-199.5ENFrontiers in Marine Science, Vol 8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	consumer dynamics monod grazing holling feeding kinetics trophic dynamics predator-prey Science Q General. Including nature conservation, geographical distribution QH1-199.5
spellingShingle	consumer dynamics monod grazing holling feeding kinetics trophic dynamics predator-prey Science Q General. Including nature conservation, geographical distribution QH1-199.5 Kevin J. Flynn Douglas C. Speirs Michael R. Heath Aditee Mitra Subtle Differences in the Representation of Consumer Dynamics Have Large Effects in Marine Food Web Models
description	Projecting ocean biogeochemistry and fisheries resources under climate change requires confidence in simulation models. Core to such models is the description of consumer dynamics relating prey abundance to capture, digestion efficiency and growth rate. Capture is most commonly described as a linear function of prey encounter or by rectangular hyperbola. Most models also describe consumers as eating machines which “live-to-eat,” where growth (μ) is limited by a maximum grazing rate (Gmax). Real consumers can feed much faster than needed to support their maximum growth rate (μmax); with feeding modulated by satiation, they “eat-to-live.” A set of strategic analyses were conducted of these alternative philosophies of prey consumption dynamics and testing of their effects in the StrathE2E end-to-end marine food web and fisheries model. In an experiment where assimilation efficiencies were decreased by 10%, such as might result from a change in temperature or ocean acidity, the different formulation resulted in up to 100% variation in the change in abundances of food web components, especially in the mid-trophic levels. Our analysis points to a need for re-evaluation of some long-accepted principles in consumer-resource modeling.
format	article
author	Kevin J. Flynn Douglas C. Speirs Michael R. Heath Aditee Mitra
author_facet	Kevin J. Flynn Douglas C. Speirs Michael R. Heath Aditee Mitra
author_sort	Kevin J. Flynn
title	Subtle Differences in the Representation of Consumer Dynamics Have Large Effects in Marine Food Web Models
title_short	Subtle Differences in the Representation of Consumer Dynamics Have Large Effects in Marine Food Web Models
title_full	Subtle Differences in the Representation of Consumer Dynamics Have Large Effects in Marine Food Web Models
title_fullStr	Subtle Differences in the Representation of Consumer Dynamics Have Large Effects in Marine Food Web Models
title_full_unstemmed	Subtle Differences in the Representation of Consumer Dynamics Have Large Effects in Marine Food Web Models
title_sort	subtle differences in the representation of consumer dynamics have large effects in marine food web models
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/52d8689bc8d44101bb1d123cfece6908
work_keys_str_mv	AT kevinjflynn subtledifferencesintherepresentationofconsumerdynamicshavelargeeffectsinmarinefoodwebmodels AT douglascspeirs subtledifferencesintherepresentationofconsumerdynamicshavelargeeffectsinmarinefoodwebmodels AT michaelrheath subtledifferencesintherepresentationofconsumerdynamicshavelargeeffectsinmarinefoodwebmodels AT aditeemitra subtledifferencesintherepresentationofconsumerdynamicshavelargeeffectsinmarinefoodwebmodels
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Subtle Differences in the Representation of Consumer Dynamics Have Large Effects in Marine Food Web Models

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