Movement rule selection through eco-genetic modeling: Application to diurnal vertical movement
Authored by Allison R Hrycik, Paris D Collingsworth, Timothy M Sesterhenn, Daisuke Goto, Tomas O Hook
Date Published: 2019
DOI: 10.1016/j.jtbi.2019.06.019
Sponsors:
United States National Oceanic and Atmospheric Administration (NOAA)
Platforms:
No platforms listed
Model Documentation:
ODD
Mathematical description
Model Code URLs:
Model code not found
Abstract
Agent-based, spatially-explicit models that incorporate movement rules
are used across ecological disciplines for a variety of applications.
However, appropriate movement rules may be difficult to implement due to
the complexity of an individual's response to both proximate and
ultimate cues, as well as the difficulty in directly assessing how
organisms choose to move across their environment. Environmental cues
may be complex and dynamic, and therefore, movement responses may
require tradeoffs between preferred levels of different environmental
variables (e.g., temperature, light level, and prey availability). Here,
we present an approach to determine appropriate movement rules by
setting them as heritable traits in an eco-genetic modeling framework
and allowing movement rules to evolve during the model rather than
setting them a priori. We modeled yellow perch, Perca flavescens,
movement in a simulated environment and allowed perch to move in
response to high-resolution vertical gradients in temperature, dissolved
oxygen, light, predators, and prey. Evolving movement rules ultimately
increased fish growth and survival over generations in our model,
indicating that evolving movement rules led to improved individual
performance. We found that emergent movement rules were consistent
across trials, with evolved movement rules incorporating different
weights of these environmental factors and the most rapid selection on
temperature preference. This case study presents a flexible method using
ecogenetic modeling to determine appropriate movement rules that can be
applied to diverse scenarios in spatially-explicit ecological modeling.
(C) 2019 Elsevier Ltd. All rights reserved.
Tags
Agent-based model
Individual-based model
Bioenergetics
growth
Trade-off
Coral-reef fish
Natural-selection
Life-history
Habitat selection
Yellow perch
Perch perca-flavescens
Lake-erie
Predation
risk
Game
theory
Percidae