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Use of classification tree methods to study the habitat requirements of tench (Tinca tinca) (L., 1758)

Rahmat Zarkami UGent, Peter Goethals UGent and Niels De Pauw (2010) CASPIAN JOURNAL OF ENVIRONMENTAL SCIENCES. 8(1). p.55-63
abstract
Classification trees (J48) were induced to predict the habitat requirements of tench (Tinca tinca). 306 datasets were used for the given fish during 8 years in the river basins in Flanders (Belgium). The input variables consisted of the structural-habitat (width, depth, gradient slope and distance from the source) and physic chemical (pH, dissolved oxygen, water temperature and electric conductivity), and the output ones were the abundance and presence/absence of tench. To find the best performance model, a three-fold cross validation was applied on the entire dataset. In order to evaluate the model stability, the dataset were remixed in 5 times, obtaining in total 15 different model training and validation events. The effect of pruning on the reliability and model complexity was tested in each subset. The performance evaluation was based on a combination of the number of Correctly Classified Instances (CCI) and Kappa statistic. The results showed that the predictive performance evaluation was suitable, confirming the reliability of classification trees methods. The overall average of CCI and Kappa for the prediction of tench was obtained 75.8% and 0.53. When analyzing the ecological relevance of classification trees, it seemed that the structural-habitat variables were important predictors compared to physic chemical variables.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Flanders river basins, classification tree models (J48), structural-habitat variables, physical-chemical variables, tench (Tinca tinca)
journal title
CASPIAN JOURNAL OF ENVIRONMENTAL SCIENCES
Caspian J. Environ. Sci
volume
8
issue
1
pages
55 - 63
ISSN
1735-3033
language
English
UGent publication?
yes
classification
A2
copyright statement
I have transferred the copyright for this publication to the publisher
id
2057787
handle
http://hdl.handle.net/1854/LU-2057787
alternative location
http://research.guilan.ac.ir/cjes/.papers/1586.pdf
date created
2012-03-02 16:11:32
date last changed
2016-12-19 15:44:52
@article{2057787,
  abstract     = {Classification trees (J48) were induced to predict the habitat requirements of tench (Tinca tinca). 306 datasets were used for the given fish during 8 years in the river basins in Flanders (Belgium). The input variables consisted of the structural-habitat (width, depth, gradient slope and distance from the source) and physic chemical (pH, dissolved oxygen, water temperature and electric conductivity), and the output ones were the abundance and presence/absence of tench. To find the best performance model, a three-fold cross validation was applied on the entire dataset. In order to evaluate the model stability, the dataset were remixed in 5 times, obtaining in total 15 different model training and validation events. The effect of pruning on the reliability and model complexity was tested in each subset. The performance evaluation was based on a combination of the number of Correctly Classified Instances (CCI) and Kappa statistic. The results showed that the predictive performance evaluation was suitable, confirming the reliability of classification trees methods. The overall average of CCI and Kappa for the prediction of tench was obtained 75.8\% and 0.53. When analyzing the ecological relevance of classification trees, it seemed that the structural-habitat variables were important predictors compared to physic chemical variables.},
  author       = {Zarkami, Rahmat and Goethals, Peter and De Pauw, Niels},
  issn         = {1735-3033},
  journal      = {CASPIAN JOURNAL OF ENVIRONMENTAL SCIENCES},
  keyword      = {Flanders river basins,classification tree models (J48),structural-habitat variables,physical-chemical variables,tench (Tinca tinca)},
  language     = {eng},
  number       = {1},
  pages        = {55--63},
  title        = {Use of classification tree methods to study the habitat requirements of tench (Tinca tinca) (L., 1758)},
  url          = {http://research.guilan.ac.ir/cjes/.papers/1586.pdf},
  volume       = {8},
  year         = {2010},
}

Chicago
Zarkami, Rahmat, Peter Goethals, and Niels De Pauw. 2010. “Use of Classification Tree Methods to Study the Habitat Requirements of Tench (Tinca Tinca) (L., 1758).” Caspian Journal of Environmental Sciences 8 (1): 55–63.
APA
Zarkami, R., Goethals, P., & De Pauw, N. (2010). Use of classification tree methods to study the habitat requirements of tench (Tinca tinca) (L., 1758). CASPIAN JOURNAL OF ENVIRONMENTAL SCIENCES, 8(1), 55–63.
Vancouver
1.
Zarkami R, Goethals P, De Pauw N. Use of classification tree methods to study the habitat requirements of tench (Tinca tinca) (L., 1758). CASPIAN JOURNAL OF ENVIRONMENTAL SCIENCES. 2010;8(1):55–63.
MLA
Zarkami, Rahmat, Peter Goethals, and Niels De Pauw. “Use of Classification Tree Methods to Study the Habitat Requirements of Tench (Tinca Tinca) (L., 1758).” CASPIAN JOURNAL OF ENVIRONMENTAL SCIENCES 8.1 (2010): 55–63. Print.