Application of genetic algorithm and greedy stepwise to select input variables in classification tree models for the prediction of habitat requirements of Azolla filiculoides (Lam.) in Anzali wetland, Iran

@article{Sadeghi2013ApplicationOG,
  title={Application of genetic algorithm and greedy stepwise to select input variables in classification tree models for the prediction of habitat requirements of Azolla filiculoides (Lam.) in Anzali wetland, Iran},
  author={Roghayeh Sadeghi and Rahmat Zarkami and Karim Sabetraftar and Patrick Van Damme},
  journal={Ecological Modelling},
  year={2013},
  volume={251},
  pages={44-53}
}

Modeling habitat preferences of Caspian kutum, Rutilus frisii kutum(Kamensky, 1901) (Actinopterygii, Cypriniformes) in the Caspian Sea

TLDR
The results show that the effect of different seasons, sea depth, and photosyntheticaly active radiation were the main predictors affecting the habitat preferences of kutum in the Caspian Sea.

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A classification tree model (J48 algorithm) is applied to predict the habitat preferences of A. cygnea in 12 sampling sites based on various water quality and physical-habitat variables and confirmed that all predicted variables for the species might be completely dependent on the water salinity.

Assessment, monitoring and modelling of the abundance of Dunaliella salina Teod in the Meighan wetland, Iran using decision tree model

The microalga Dunaliella salina has been broadly studied for different purposes such as beta-carotene production, toxicity assessment and salinity tolerance, yet research on the habitat suitability

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Eichhornia crassipes is one of the most ubiquitous invasive aquatic species in the world that negatively impact on native fauna and flora. The information on the occurrence of such invasive plant is

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