On the evolution of dispersal via heterogeneity in spatial connectivity
Authored by Renato Henriques-Silva, Frederic Boivin, Vincent Calcagno, Mark C Urban, Pedro R Peres-Neto
Date Published: 2015
DOI: 10.1098/rspb.2014.2879
Sponsors:
National Science and Engineering Research Council of Canada (NSERC)
James S. McDonnell Foundation
Platforms:
MATLAB
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
Dispersal has long been recognized as a mechanism that shapes many
observed ecological and evolutionary processes. Thus, understanding the
factors that promote its evolution remains a major goal in evolutionary
ecology. Landscape connectivity may mediate the trade-off between the
forces in favour of dispersal propensity (e.g. kin-competition, local
extinction probability) and those against it (e.g. energetic or survival
costs of dispersal). It remains, however, an open question how differing
degrees of landscape connectivity may select for different dispersal
strategies. We implemented an individual-based model to study the
evolution of dispersal on landscapes that differed in the variance of
connectivity across patches ranging from networks with all patches
equally connected to highly heterogeneous networks. The parthenogenetic
individuals dispersed based on a flexible logistic function of local
abundance. Our results suggest, all else being equal, that landscapes
differing in their connectivity patterns will select for different
dispersal strategies and that these strategies confer a long-term
fitness advantage to individuals at the regional scale. The strength of
the selection will, however, vary across network types, being stronger
on heterogeneous landscapes compared with the ones where all patches
have equal connectivity. Our findings highlight how landscape
connectivity can determine the evolution of dispersal strategies, which
in turn affects how we think about important ecological dynamics such as
metapopulation persistence and range expansion.
Tags
Individual-based model
behavior
Network Structure
Landscape connectivity
Density-dependent dispersal
Metapopulation
Rates
Structured populations
Quantitative-analysis
Kin competition