An age-structured approach to modelling behavioural variation maintained by life-history trade-offs.

There have been numerous empirical studies on the fitness consequences of behavioural syndromes in various animal taxa; however, the ecological and evolutionary implications on a population level are still poorly understood. To better understand these implications, we develop a non-linear age-struct...

Full description

Bibliographic Details
Main Authors: Matthew H T Chan, Peter S Kim
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3885626?pdf=render
_version_ 1818279468178866176
author Matthew H T Chan
Peter S Kim
author_facet Matthew H T Chan
Peter S Kim
author_sort Matthew H T Chan
collection DOAJ
description There have been numerous empirical studies on the fitness consequences of behavioural syndromes in various animal taxa; however, the ecological and evolutionary implications on a population level are still poorly understood. To better understand these implications, we develop a non-linear age-structured mathematical model to qualitatively examine the evolutionary consequences of a heritable boldness personality trait within an animal population. We assume that this heritable boldness trait is positively correlated with boldness towards predators and intraspecific aggressiveness. This assumption leads to a growth/reproductive success versus mortality trade-off, which is thoroughly investigated and documented in the literature. Another life-history trade-off we include in the model is future versus current reproduction, which was shown by Wolf et al. to be a possible mechanism for the evolution of behavioural syndromes within an animal population. The stability of the system is analysed, whereby the characteristic equation is in the form of a homogeneous Fredholm equation of the second kind which depends on both the perturbation and equilibrium solution. The system is found to be stable due to the competition between individuals of similar boldness acting as a negative feedback mechanism. Using numerical simulations we examine the qualitative features of the solution to the system. In particular, we investigate the interplay between the mutation and competition strength between two individuals with different boldness, whereby we find that an increasing competition range acts to push individuals to both extremes of the shy-bold axis, while an increasing mutation range counteracts this effect. This qualitative trait of aggregation of individuals around the shy and bold extremes is also found when examining different birth, mortality and competition functions.
first_indexed 2024-12-12T23:33:48Z
format Article
id doaj.art-bb216826340a4ab3a28c97aa96ca6fe7
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-12-12T23:33:48Z
publishDate 2014-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-bb216826340a4ab3a28c97aa96ca6fe72022-12-22T00:07:36ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0191e8477410.1371/journal.pone.0084774An age-structured approach to modelling behavioural variation maintained by life-history trade-offs.Matthew H T ChanPeter S KimThere have been numerous empirical studies on the fitness consequences of behavioural syndromes in various animal taxa; however, the ecological and evolutionary implications on a population level are still poorly understood. To better understand these implications, we develop a non-linear age-structured mathematical model to qualitatively examine the evolutionary consequences of a heritable boldness personality trait within an animal population. We assume that this heritable boldness trait is positively correlated with boldness towards predators and intraspecific aggressiveness. This assumption leads to a growth/reproductive success versus mortality trade-off, which is thoroughly investigated and documented in the literature. Another life-history trade-off we include in the model is future versus current reproduction, which was shown by Wolf et al. to be a possible mechanism for the evolution of behavioural syndromes within an animal population. The stability of the system is analysed, whereby the characteristic equation is in the form of a homogeneous Fredholm equation of the second kind which depends on both the perturbation and equilibrium solution. The system is found to be stable due to the competition between individuals of similar boldness acting as a negative feedback mechanism. Using numerical simulations we examine the qualitative features of the solution to the system. In particular, we investigate the interplay between the mutation and competition strength between two individuals with different boldness, whereby we find that an increasing competition range acts to push individuals to both extremes of the shy-bold axis, while an increasing mutation range counteracts this effect. This qualitative trait of aggregation of individuals around the shy and bold extremes is also found when examining different birth, mortality and competition functions.http://europepmc.org/articles/PMC3885626?pdf=render
spellingShingle Matthew H T Chan
Peter S Kim
An age-structured approach to modelling behavioural variation maintained by life-history trade-offs.
PLoS ONE
title An age-structured approach to modelling behavioural variation maintained by life-history trade-offs.
title_full An age-structured approach to modelling behavioural variation maintained by life-history trade-offs.
title_fullStr An age-structured approach to modelling behavioural variation maintained by life-history trade-offs.
title_full_unstemmed An age-structured approach to modelling behavioural variation maintained by life-history trade-offs.
title_short An age-structured approach to modelling behavioural variation maintained by life-history trade-offs.
title_sort age structured approach to modelling behavioural variation maintained by life history trade offs
url http://europepmc.org/articles/PMC3885626?pdf=render
work_keys_str_mv AT matthewhtchan anagestructuredapproachtomodellingbehaviouralvariationmaintainedbylifehistorytradeoffs
AT peterskim anagestructuredapproachtomodellingbehaviouralvariationmaintainedbylifehistorytradeoffs
AT matthewhtchan agestructuredapproachtomodellingbehaviouralvariationmaintainedbylifehistorytradeoffs
AT peterskim agestructuredapproachtomodellingbehaviouralvariationmaintainedbylifehistorytradeoffs