Individual-based models as tools for ecological theory and application: Understanding the emergence of organisational properties in ecological systems
Authored by Broder Breckling, U Middelhoff, H Reuter
Date Published: 2006
DOI: 10.1016/j.ecolmodel.2005.10.005
Sponsors:
German Federal Ministry of Education and Research (BMBF)
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Abstract
Individual-based models offer a structurally unique (and unifying)
approach to ecological applications. Model results also provide an
important input into ecological theory. The approach operates on the
lowest organisational level considered in ecology (i.e. activities of
individuals). Simulating the actions of single organisms allows to study
how the properties of higher level ecological entities like swarms, populations, trophic networks and regional distribution patterns emerge.
Unlike other approaches working on higher abstraction levels, individual-based models can represent structural-functional
relationships similar to the pattern of available ecological knowledge.
To demonstrate the range of applications of the approach we will address
four issues using comprehensive data from two projects performed in
Northern Germany.
First, a generic model structure for individual-based models operating
on the basis of object-oriented programming is explained. It allows to
capture a large variety of different ecological interactions.
In the second step, application examples from different fields of
ecology are explicated. Plants and animals, active in terrestrial or
aquatic environments, exhibit interaction types, which lead to
self-organised structural-functional networks resulting from single
organismic interactions. Spatial relations, dispersal, bio-energetics, plasticity of growth and form are topics which can be successfully dealt
with in individual-based models. The wide range of qualitatively
different interactions that can be represented is responsible for the
importance the approach has gained in ecology.
In the third step, we show how the approach is used in a current
research project to anticipate implications of genetically modified
plants in agriculture. An individual-based model is used to simulate
small-scale dispersal and persistence. The results are used for
geostatistic extrapolation to the regional scale. Oilseed rape (Brassica
napus) serves as an example. The model represents cultivation practice, feral populations and environmental characteristics.
The fourth and final step discusses epistemological implications of
individual-based models. it is concluded that a successful application
of the approach requires detailed biological information about the
represented species. This makes a leading involvement of field
ecologists essential for model development. On the other hand, it also
opens a theoretical access how to connect quantitative and qualitative
aspects of cause-effect chains in ecology across different hierarchical
levels. These aspects are discussed in relation to possible limitations
of the approach. (c) 2005 Elsevier B.V. All rights reserved.
Tags
Dynamics
Predation
population
explanation
patterns
Fish
Level
Tree growth
Herbivores
Rodent cycles