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Community structure models are improved by exploiting taxonomic rank with predictive clustering trees

Author

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  • Levatić, Jurica
  • Kocev, Dragi
  • Debeljak, Marko
  • Džeroski, Sašo

Abstract

Community structure modelling studies the influence of biotic and abiotic factors on the abundance and composition of a given taxonomic group of organisms. With the advancement of measurement and sensor technology, the availability, precision and complexity of environmental data constantly increases. Nowadays, measurements of ecosystems provide a complete snapshot of the state of the system, including information about the community structure of organisms that are present in a given sample. These measurements include multi-species data that are typically analysed by constructing community models as collections of models built for each species separately (local models) without considering the possible (taxonomic) relationships among species.

Suggested Citation

  • Levatić, Jurica & Kocev, Dragi & Debeljak, Marko & Džeroski, Sašo, 2015. "Community structure models are improved by exploiting taxonomic rank with predictive clustering trees," Ecological Modelling, Elsevier, vol. 306(C), pages 294-304.
    • Handle: RePEc:eee:ecomod:v:306:y:2015:i:c:p:294-304
    DOI: 10.1016/j.ecolmodel.2014.10.023
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