Emergent properties in individual-based ecological models - introducing case studies in an ecosystem research context
Authored by Broder Breckling, H Reuter, F Holker, F Muller, O Franzle
Date Published: 2005
DOI: 10.1016/j.ecolmodel.2005.02.008
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Platforms:
SIMULA
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Abstract
Individual-based models (IBM) extend the potential of ecological models
to cope with spatial heterogeneity and complex ecological interaction
networks with variable structures. This paper introduces a series of
IBM-applications in the ecosystem research project `Bornhoved Lakes
District'. Here we outline the general theoretical implications of
individual-based modelling related to self-organisation processes and
emergent properties in different fields of ecological research and
characterise the conceptual basis common to these applications. The case
studies introduced are:
spatial dispersal and colonisation processes of terrestrial arthropods
community dynamics and trophic interaction in small mammals
limnological application-spatially explicit fish energetic population
model
plant root system development and nutrient acquisition dynamics
plant architecture and assimilation physiology
We used the IBM-approach to analyse fundamental biocenotical
interactions and investigate, how dispersal processes, behavioural
characteristics and energetics at the level of individual organisms are
linked with the population level and community processes as well as with
ecosystem and landscape structures. The ecosystem based investigations
are presented together with an overview of the employed modelling
methodology. In addition, it is explained, how the conceptual background
of emergent properties is involved in this approach. The
individual-based modelling approach allows realistic descriptions and is
highly adaptive to particular contexts and questions under
investigation. Its main feature is that the characteristics of higher
level ecological units like populations or communities can be determined
as emergent properties from the lower ones. (c) 2004 Elsevier B.V All
rights reserved.
Tags
Dynamics
Dispersal
patterns
Knowledge-based model
Level
Beetles