| KUBOŠOVÁ, Klára, Jiří JARKOVSKÝ, Karel BRABEC a Světlana ZAHRÁDKOVÁ. Selection of indicative species for evaluation of ecological state: Case study on benthic macroinvertebrates focused on Random forest method. In Program and Abstracts, The Seventeenth International Conference on Qualitative Methods for the Environmental Sciences, TIES 2007. 2007. ISBN 978-80-210-4333-6. |
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@proceedings{753637,
author = {Kubošová, Klára and Jarkovský, Jiří and Brabec, Karel and Zahrádková, Světlana},
booktitle = {Program and Abstracts, The Seventeenth International Conference on Qualitative Methods for the Environmental Sciences, TIES 2007},
keywords = {indicative species; random forest; indicator species analysis; logistic regression},
language = {eng},
isbn = {978-80-210-4333-6},
title = {Selection of indicative species for evaluation of ecological state: Case study on benthic macroinvertebrates focused on Random forest method},
year = {2007}
}
TY - CONF
ID - 753637
AU - Kubošová, Klára - Jarkovský, Jiří - Brabec, Karel - Zahrádková, Světlana
PY - 2007
TI - Selection of indicative species for evaluation of ecological state: Case study on benthic macroinvertebrates focused on Random forest method
SN - 9788021043336
KW - indicative species
KW - random forest
KW - indicator species analysis
KW - logistic regression
N2 - Definition of species with significant relationship to environmental parameters is indispensable part of systems for the evaluation of environmental state. Nevertheless this is not considered as easy task and several methods with various advantages and disadvantages are available. In this paper two main methods were applied for identification of indicative species of river habitats; relatively new method Random Forest and classical Indicator Species Analysis; the results were supplemented also by logistic regression of species response curves which can produce additional information on taxa tolerance and optimum. The basic advantages and disadvantages of methods can be summarized according to our experience from this case study; these conclusions can be utilized during the development of the ARROW system for evaluation of ecological state of surface waters. The results of the study also support simultaneous usage of at least two different methods for indicative species identification to reduce known weak points of individual methods.
ER -
KUBOŠOVÁ, Klára, Jiří JARKOVSKÝ, Karel BRABEC a Světlana ZAHRÁDKOVÁ. Selection of indicative species for evaluation of ecological state: Case study on benthic macroinvertebrates focused on Random forest method. In \textit{Program and Abstracts, The Seventeenth International Conference on Qualitative Methods for the Environmental Sciences, TIES 2007}. 2007. ISBN~978-80-210-4333-6.
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