2012
DOI: 10.1242/jeb.059022
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Integrating mechanistic organism–environment interactions into the basic theory of community and evolutionary ecology

Abstract: SummaryThis paper presents an overview of how mechanistic knowledge of organism-environment interactions, including biomechanical interactions of heat, mass and momentum transfer, can be integrated into basic theoretical population biology through mechanistic functional responses that quantitatively describe how organisms respond to their physical environment. Integrating such functional responses into simple community and microevolutionary models allows scaling up of the organism-level understanding from biom… Show more

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Cited by 14 publications
(11 citation statements)
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“…Measuring dispersal distance in the field is often more difficult, but can also be explored in trait-based models of dispersal evolution . A trait-based approach that incorporates both direct and indirect selective agents will also be more mechanistic and therefore enhance predictability under novel environmental conditions (Helmuth, Kingsolver & Carrington, 2005;Baskett, 2012), which might be particularly important in the context of climate change given the significant role of dispersal in species responses to changing climatic conditions (Travis et al, 2013). (6) We join others before us (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…Measuring dispersal distance in the field is often more difficult, but can also be explored in trait-based models of dispersal evolution . A trait-based approach that incorporates both direct and indirect selective agents will also be more mechanistic and therefore enhance predictability under novel environmental conditions (Helmuth, Kingsolver & Carrington, 2005;Baskett, 2012), which might be particularly important in the context of climate change given the significant role of dispersal in species responses to changing climatic conditions (Travis et al, 2013). (6) We join others before us (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…Similarly, one could build on mechanistic models to determine how the biomechanics underlying competitive or consumer-resource interactions (e.g. Baskett, 2012) translate local processes into largescale population dynamics. Thus, as far as nonlinear response functions are involved, STT can be used to scale up physiological to community-level processes (Denny and Benedetti-Cecchi, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…A general model sheds light on the proposed approach. Consider the Lotka–Volterra model of competition, where we have abstractly expressed the model parameters as functions of temperature, T : dNiNidt=ri(T)aii(T)Niaij(T)Nj, where i ≠ j and i , j = 1,2 (Baskett ). Here, Ni is the density of competitor i , aii measures the strength of intraspecific competition, and aij measures the strength of interspecific competition.…”
Section: Introduction and Reviewmentioning
confidence: 99%