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

Jurica Levatić, Dragi Kocev, Marko Debeljak and Sašo Džeroski

Ecological Modelling, 2015, vol. 306, issue C, 294-304

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.

Keywords: Community structure modelling; Taxonomic rank; Predictive clustering trees; Classification; Hierarchical multi-label classification (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:306:y:2015:i:c:p:294-304

DOI: 10.1016/j.ecolmodel.2014.10.023

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