20 June 2013
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Overview of the model types available for ecological modelling

Author(s): S.E. Jørgensen & T.-S. Chon

Abstract:
w of the model types available for ecological modelling S.E.

Jørgensen1 & T.-S.

Chon2 1Environmental Chemistry, Copenhagen University, Copenhagen, Denmark. 2Division of Biological Sciences, Pusan National University, Busan (Pusan), Republic of Korea. 1 Issues in model development The take off in ecological modelling occurred in the early 1970s.

In this period, ecological models were increasingly used as a computation tool for ecosystem managements, while the journal Ecological Modelling was timely published to meet various requirements of model development. At that time, there were mainly only three model types, population dynamic models with age structure, biogeochemical models based on differential equations and static models to describe an extreme or average situation in the system.

Occasionally, variations of these model types or even hybrids of two types were also developed for special problems. Today, models have been greatly improved in various ways in terms of both methodology and implementation.

Computation techniques emerge step by step to meet the needs for solving more complex problems presented in ecological processes.

Direction of the model development can be addressed in a series of key issues as listed below [1]: 1.

Spatial presentation: In accordance with development of computational techniques and improvement in data collection in ecology, spatial distribution of the variables has drawn a strong attention from the model users.

Spatial information is efficient in elucidating ecological processes in more realistic ways, providing an extra dimension in addressing dynamics of the variables for the model users (e.g.

when and where the invading species would outbreak? or how the pollution effects would disperse in ecosystems?).

How can we address the problems regarding the spatial distribution which is often crucial to understanding the ecological processes? 2.

Individuality: Ecosystems are middle number systems [2] in the sense that the number of components are in the magnitudes smaller than the number of atoms in a system.

This indicates that individuals could be generated and would be modelled as independent agents in the system.

As is well known, all the biological components in ecosystems are different in their attributes.

This difference in components (i.e.

individual variability) is often important for a proper description of the ecosystem reactions.

In addition, emergent or collective ...

Pages: 32
Size: 270 kb
Paper DOI: 10.2495/978-1-84564-207-5/02

 

 

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This paper can be found in the following book

Handbook of Ecological Modelling and Informatics

Handbook of Ecological Modelling and Informatics

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