Dynamic Energy Budget theory meets individual-based modelling: a generic and accessible implementation
Authored by Volker Grimm, Tjalling Jager, Benjamin T Martin, Elke I Zimmer
Date Published: 2012
DOI: 10.1111/j.2041-210x.2011.00168.x
Sponsors:
European Union
Platforms:
NetLogo
Model Documentation:
ODD
Pseudocode
Mathematical description
Model Code URLs:
http://cream-itn.eu/creamwp/wp-content/uploads/DEB_IBM-model-v2.txt
Abstract
1. Dynamic Energy Budget (DEB) theory was designed to understand the
dynamics of biological systems from cells to populations and ecosystems
via a mass balance approach of individuals. However, most work so far
has focused on the level of the individual. To encourage further use of
DEB theory in a population context, we developed DEB-IBM, a generic
individual-based model (IBM) that is based on DEB theory. 2. The generic
IBM is implemented as a computer program using NetLogo, a free software
platformthat is accessible to biologists with little programming
background. The IBMuses DEB to represent assimilation, maintenance, growth and reproduction of individuals. The model description follows
the overview, design and details ( ODD) protocol, a generic format for
describing IBMs, and thereby provides a novel and accessible
introduction to DEB theory and how it works in a population context. 3.
Dynamic Energy Budget- individual- based model can be used to explore
properties of both individual life- history traits and population
dynamics, which emerge from the set of DEB parameters of a species, and
their interaction with environmental variables such as food density.
Furthermore, DEB- IBM can be adapted to address specific research
questions, for example by including spatial effects. A user manual
explains how this can be done. 4. Dynamic Energy Budget- individual-
based model is designed to both facilitate use and testing DEB theory in
a population context and to advance individual- based modelling by
basing the representation of individuals on well- tested physiological
principles.
Tags
ecology
growth
Platforms
Protocol
Life
Consequences
Matrix population-models
Daphnia