Do spatial models of growth rate potential reflect fish growth in a heterogeneous environment? A comparison of model results
Authored by JA Tyler, SB Brandt
Date Published: 2001
DOI: 10.1034/j.1600-0633.2001.100106.x
Sponsors:
United States National Oceanic and Atmospheric Administration (NOAA)
United States National Science Foundation (NSF)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
Spatial models of fish growth rate potential have been used to
characterize a variety of environments including estuaries, the North
American Great Lakes, small lakes and rivers. Growth rate potential
models capture a snapshot of the environment but do not include the
effects of habitat selection or competition for food in their measures
of environment quality. Here, we test the ability of spatial models of
fish growth rate potential to describe the quality of an environment for
a fish population in which individual fish may select habitats and local
competition may affect pet capita intake. We compare growth rate
potential measurements to simulated fish growth and distributions of
model fish from a spatially explicit individual-based model of fish
foraging in the same model environment. We base the model environment on
data from Lake Ontario and base the model fish population on alewife in
the lake. The results from a simulation experiment show that changes in
the model environment that caused changes in the average growth rate
potential correlated extremely highly (r(2)greater than or equal to0.97)
with changes in simulated fish growth. Unfortunately, growth rate
potential was not a reliable quantitative predictor of simulated fish
growth nor of the fish spatial distribution. The inability of the growth
rate potential model to quantitatively predict simulated fish growth and
fish distributions results from the fact that growth rate potential does
not consider the effects of habitat selection or of competition on fish
growth or distribution, processes that operate in our individual-based
model and presumably also operate in nature. The results, however, do
support the use of growth rate potential models to describe the relative
quality of habitats and environments for fish populations.
Tags
Individual-based model
ideal free distribution
Patchy environment
Stizostedion-vitreum-vitreum
Bioenergetics model
British-columbia
Lake-michigan
Diel vertical
migration
Explicit models
Striped bass