@article{548,
  keywords = {Bioclimatic modelling, Ecological thresholds, Land use effects, Niche models, Species distributions modelling},
  author = {Termansen Mette and McClean Colin J. and Preston Christopher D.},
  title = {The use of genetic algorithms and Bayesian classification to model species distributions},
  abstract = {<p>This paper develops a method to model species{\textquoteright} spatial distributions from environmental variables. The method is based on a search for an optimal identification of environmental niches to match observed species presence/absence data. The identification is based on Bayesian classification and the optimisation is based on a Genetic Algorithm (GA). The algorithm is tested on an artificial {\textquotedblleft}species{\textquotedblright} and is shown to perform well. We apply the approach to a random sample of 100 plant species native to the British Isles. This enables an identification of the environmental variables that are most important for capturing the species{\textquoteright} spatial distribution. We show that both climate and land use variables are important for modelling the spatial distribution patterns of the sampled species.</p>
},
  year = {2006},
  journal = {Ecological Modelling},
  volume = {192},
  pages = {410-424},
  month = {02/2006},
  isbn = {0304-3800},
  doi = {10.1016/j.ecolmodel.2005.07.009},
  language = {eng},
}