The effect of social learning in a small population facing environmental change: an agent-based simulation

Romero‐Mujalli, Daniel; Cappelletto, José; Herrera, Emílio; Tárano, Zaida

doi:10.1007/s10164-016-0490-8

Cited by 7 publications

(2 citation statements)

References 54 publications

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“…A higher η, results for ψ = 0.5 were not shown, because scenarios of random and sinusoidal plasticity, and genetic determinism (narrow sense heritability h 2 = 1) went usually extinct. The color bar illustrates the color of the environmental noise is particularly true for learning (Laland et al, 2015;Romero-Mujalli et al, 2017;Watson & Szathmáry, 2016).…”

Section: On the Limits And The Model Implementations Of Adaptive Phenotypic Plasticitymentioning

confidence: 99%

Adaptive and nonadaptive plasticity in changing environments: Implications for sexual species with different life history strategies

Romero‐Mujalli

Rochow

Kahl

et al. 2021

Ecology and Evolution

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Section: On the Limits And The Model Implementations Of Adaptive Phenotypic Plasticitymentioning

confidence: 99%

Adaptive and nonadaptive plasticity in changing environments: Implications for sexual species with different life history strategies

Romero‐Mujalli

Rochow

Kahl

et al. 2021

Ecology and Evolution

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“…Future theoretical work should focus on unraveling the mechanisms that make the above-discussed phenotypic response (trait dynamics) possible. Furthermore, and in contrast to other forms of plasticity, flexible development of the phenotype can provide an adaptive response in a novel environment that need not to have been pre-screened by earlier selection, which is particularly true for learning (Laland et al 2015;Watson and Szathmáry 2016;Romero-Mujalli et al 2017).…”

Section: On the Limits And The Model Implementations Of Adaptive Phenotypic Plasticitymentioning

confidence: 99%

Adaptive and non-adaptive plasticity in changing environments: implications for sexual species with different life history strategies

Romero‐Mujalli

Rochow

Kahl

et al. 2021

Preprint

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Populations adapt to novel environmental conditions by genetic changes or phenotypic plasticity. Plastic responses are generally faster and can buffer fitness losses under variable conditions. Plasticity is typically modelled as random noise and linear reaction norms that assume simple one-to-one genotype-phenotype maps and no limits to the phenotypic response. Most studies on plasticity have focused on its effect on population viability. However, it is not clear, whether the advantage of plasticity depends solely on environmental fluctuations or also on the genetic and demographic properties (life histories) of populations. Here we present an individual-based model and study the relative importance of adaptive and non-adaptive plasticity for populations of sexual species with different life histories experiencing directional stochastic climate change. Environmental fluctuations were simulated using differentially autocorrelated climatic stochasticity or noise color, and scenarios of directional climate change. Non-adaptive plasticity was simulated as a random environmental effect on trait development, while adaptive plasticity as a linear, logistic, or sinusoidal reaction norm. The last two imposed limits to the plastic response and emphasized flexible interactions of the genotype with the environment. Interestingly, this assumption led to (i) smaller phenotypic than genotypic variance in the population and the coexistence of polymorphisms, (ii) many-to-one genotype-phenotype map, and (iii) the maintenance of higher genetic variation – compared to linear reaction norms and genetic determinism – even when the population was exposed to a constant environment for several generations. Limits to plasticity led to genetic accommodation, when costs were negligible, and to the appearance of cryptic variation when limits were exceeded. We found that adaptive plasticity promoted population persistence under red noise stochasticity and was particularly important for life histories with low fecundity. Populations producing more offspring could cope with environmental fluctuations solely by genetic changes or random plasticity, unless environmental change was too fast.

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Individual-based modeling of eco-evolutionary dynamics: state of the art and future directions

2018

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The effect of social learning in a small population facing environmental change: an agent-based simulation

Cited by 7 publications

References 54 publications

Adaptive and nonadaptive plasticity in changing environments: Implications for sexual species with different life history strategies

Adaptive and nonadaptive plasticity in changing environments: Implications for sexual species with different life history strategies

Adaptive and non-adaptive plasticity in changing environments: implications for sexual species with different life history strategies

Individual-based modeling of eco-evolutionary dynamics: state of the art and future directions

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