Demsar, D.; Dzeroski, S.; Larsen, T.; Struyf, J.; Axelsen, J.; Bruus-Pedersen, M. and Krogh, P.H. (2006) Using multi-objective classification to model communities of soil microarthropods. Ecological Modelling, 191 (1), pp. 131-143.
Limited to [Depositor and staff only]
In agricultural soil, a suite of anthropogenic events shape the ecosystem processes and populations. However, the impact from anthropogenic sources on the soil environment is almost exclusively assessed for chemicals, although other factors like crop and tillage practices have an important impact as well. Thus, the farming system as a whole should be evaluated and ranked according to its environmental benefits and impacts. our starting point is a data set describing agricultural events and soil biological parameters. Using machine learning methods for inducing regression and model trees, we produce empirical models able to predict the soil quality from agricultural measures in terms of quantities describing the soil microarthropod community. We are also interested in discovering additional higher level knowledge. In particulat, we have identified the most important factors influencing the population densities of springtails and mites and their biodiversity. We also identify to which agricultural actions different microarthropods react distictly. To obtain this higher level knowledge, we employ multi-opbjective regression trees.
|EPrint Type:||Journal paper|
|Keywords:||Multi-objective classification, modelling, soil microarthropods|
|Subjects:|| Soil > Soil quality > Soil biology|
Environmental aspects > Biodiversity and ecosystem services
|Research affiliation:||Denmark > DARCOF II (2000-2005) > III.5 Nature quality in organic farming|
|Deposited By:||Axelsen, Senior Scientist Jørgen|
|Deposited On:||04 Apr 2006|
|Last Modified:||30 Oct 2012 12:02|
|Refereed:||Peer-reviewed and accepted|
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