| Title: |
Break-through in predictive modelling opens new possibilities for aquatic ecology and management – a review
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| Resource Type: |
document --> technical publication --> journal article
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| Country: |
Sweden
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| Year: |
2004 |
| Availability: |
Hydrobiologia 518, 135-157
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| Author 1/Producer: |
Håkanson, L
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| Author / Producer Type: |
University research group / research institute
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| Format (e.g. PDF): |
PDF
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| Size: (e.g. 20mb) |
1.5
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EUGRIS Keyword(s): |
Contaminated land-->Risk assessment-->Receptor: Ecological
Water resources and their management -->Water resources and their management Overview
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| Short description: |
Extract
Due to the complex nature of ecosystems, it has long been argued that process-based dynamic models will never
predict well, and numerous studies and critical model tests have also shown this and that simple regression models
often predict better for less work. A new generation of dynamic models have, however, been presented that invalidate
previous statements about the predictive power of more comprehensive process-oriented dynamic models.
These new dynamic models predict important ecosystem variables very well from few and readily accessible
driving variables. This paper gives a review of these new models (mass-balance modelling for lakes, rivers and
coastal areas and foodweb modelling based on functional groups) and highlights some important reasons for this
break-through in modelling in terms of predictive power, wide applicability and practical use.
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Submitted By:
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Dr Stefan Gödeke WhoDoesWhat?
Last update: 13/11/2006
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