Mobility and its sensitivity to fitness differences determine consumer–resource distributions

An animal's movement rate (mobility) and its ability to perceive fitness gradients (fitness sensitivity) determine how well it can exploit resources. Previous models have examined mobility and fitness sensitivity separately and found that mobility, modelled as random movement, prevents animals...

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Main Authors: Jing Jiao, Louise Riotte-Lambert, Sergei S. Pilyugin, Michael A. Gil, Craig W. Osenberg
Format: Article
Language:English
Published: The Royal Society 2020-06-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.200247
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spelling doaj-b27227ff0f1b47c480d3743d03db30372020-11-25T04:08:29ZengThe Royal SocietyRoyal Society Open Science2054-57032020-06-017610.1098/rsos.200247200247Mobility and its sensitivity to fitness differences determine consumer–resource distributionsJing JiaoLouise Riotte-LambertSergei S. PilyuginMichael A. GilCraig W. OsenbergAn animal's movement rate (mobility) and its ability to perceive fitness gradients (fitness sensitivity) determine how well it can exploit resources. Previous models have examined mobility and fitness sensitivity separately and found that mobility, modelled as random movement, prevents animals from staying in high-quality patches, leading to a departure from an ideal free distribution (IFD). However, empirical work shows that animals with higher mobility can more effectively collect environmental information and better sense patch quality, especially when the environment is frequently changed by human activities. Here, we model, for the first time, this positive correlation between mobility and fitness sensitivity and measure its consequences for the populations of a consumer and its resource. In the absence of consumer demography, mobility alone had no effect on system equilibria, but a positive correlation between mobility and fitness sensitivity could produce an IFD. In the presence of consumer demography, lower levels of mobility prevented the system from approaching an IFD due to the mixing of consumers between patches. However, when positively correlated with fitness sensitivity, high mobility led to an IFD. Our study demonstrates that the expected covariation of animal movement attributes can drive broadly theorized consumer–resource patterns across space and time and could underlie the role of consumers in driving spatial heterogeneity in resource abundance.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.200247movementpatch dynamicsdemographyideal free distributionmodel
collection DOAJ
language English
format Article
sources DOAJ
author Jing Jiao
Louise Riotte-Lambert
Sergei S. Pilyugin
Michael A. Gil
Craig W. Osenberg
spellingShingle Jing Jiao
Louise Riotte-Lambert
Sergei S. Pilyugin
Michael A. Gil
Craig W. Osenberg
Mobility and its sensitivity to fitness differences determine consumer–resource distributions
Royal Society Open Science
movement
patch dynamics
demography
ideal free distribution
model
author_facet Jing Jiao
Louise Riotte-Lambert
Sergei S. Pilyugin
Michael A. Gil
Craig W. Osenberg
author_sort Jing Jiao
title Mobility and its sensitivity to fitness differences determine consumer–resource distributions
title_short Mobility and its sensitivity to fitness differences determine consumer–resource distributions
title_full Mobility and its sensitivity to fitness differences determine consumer–resource distributions
title_fullStr Mobility and its sensitivity to fitness differences determine consumer–resource distributions
title_full_unstemmed Mobility and its sensitivity to fitness differences determine consumer–resource distributions
title_sort mobility and its sensitivity to fitness differences determine consumer–resource distributions
publisher The Royal Society
series Royal Society Open Science
issn 2054-5703
publishDate 2020-06-01
description An animal's movement rate (mobility) and its ability to perceive fitness gradients (fitness sensitivity) determine how well it can exploit resources. Previous models have examined mobility and fitness sensitivity separately and found that mobility, modelled as random movement, prevents animals from staying in high-quality patches, leading to a departure from an ideal free distribution (IFD). However, empirical work shows that animals with higher mobility can more effectively collect environmental information and better sense patch quality, especially when the environment is frequently changed by human activities. Here, we model, for the first time, this positive correlation between mobility and fitness sensitivity and measure its consequences for the populations of a consumer and its resource. In the absence of consumer demography, mobility alone had no effect on system equilibria, but a positive correlation between mobility and fitness sensitivity could produce an IFD. In the presence of consumer demography, lower levels of mobility prevented the system from approaching an IFD due to the mixing of consumers between patches. However, when positively correlated with fitness sensitivity, high mobility led to an IFD. Our study demonstrates that the expected covariation of animal movement attributes can drive broadly theorized consumer–resource patterns across space and time and could underlie the role of consumers in driving spatial heterogeneity in resource abundance.
topic movement
patch dynamics
demography
ideal free distribution
model
url https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.200247
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