Publisher :
Place of publication :
Publication year : 2009
Thematic : Environmental Education
Language : English
Note
With the advancement of computational systems and the development of model integration concepts,
complexity of environmental model systems increased. In contrast to that, theory and knowledge
about > environmental systems as well as the capability for environmental systems analyses remained,
to a large extent, unchanged. As a consequence, model conceptualization, data gathering, and validation,
have faced new challenges that hardly can be tackled by modellers alone. In this discourse-like review,we
argue that modelling with reliable simulations of human-environmental interactions necessitate linking
modelling and simulation research much stronger to science fields such as landscape ecology, community
ecology, eco-hydrology, etc. It thus becomes more and more important to identify the adequate degree
of complexity in environmental models (which is not only a technical or methodological question), to
ensure data availability, and to test model performance. Even equally important, providing problem
specific answers to environmental problems using simulation tools requires addressing end-user and
stakeholder requirements during early stages of problem development. In doing so, we avoid modelling
and simulation as an end of its own.
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Keywords : centre of accumulation
Encoded by : Pauline Carmel Joy Eje
