Models of Dispersal Evolution Highlight Several Important Issues in Evolutionary and Ecological Modeling
Authored by Justin MJ Travis, Greta Bocedi
Date Published: 2016
DOI: 10.1086/684191
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Abstract
Previous results showing that lack of information on local population
density leads to higher emigration probabilities in unpredictable
environments but to lower emigration probabilities in constant or highly
predictable scenarios have recently been challenged by Poethke et al. By
reimplementing both our model and that of Poethke and colleagues, we
demonstrate that our original results indeed hold to the presented
critiques and do not contradict previous findings. The comment by
Poethke and colleagues does, however, present potentially intriguing
results suggesting that negative density-dependent dispersal evolves
under white noise for some model formulations. Here, through intermodel
comparison, we seek to better understand the source of the differences
in results obtained in our study and theirs. We conclude that the
apparent negative density dependence reported by Poethke et al. is
effectively density independence and that the shape of the reaction norm
they obtain is a model artefact. Further, this response provides an
opportunity to elaborate on some important issues in evolutionary and
ecological modeling regarding (i) the importance of carefully
considering different models' assumptions in comparisons among models, (ii) the need to consider the role of stochasticity and uncertainty when
presenting and interpreting results from stochastic individual-based
models, (iii) the adequate choice of the underlying ecological model
that creates the selective pressures determining the evolution of
behavioral reaction norms, and (iv) the appropriate choice of mutation
models.
Tags
selection
Density-dependent dispersal
Maintenance
information
Rates
Population-density
Genetic-variability
Conditional dispersal
Mutation-rate
Emigration