KUBOŠOVÁ, Klára, Karel BRABEC, Jiří JARKOVSKÝ and Vít SYROVÁTKA. Selection of indicative taxa for river habitats: a case study on benthic macroinvertebrates using indicator species analysis and the random forest methods. Hydrobiologia. Stuttgart: Springer, 2010, vol. 651, September, p. 101-114, 15 pp. ISSN 0018-8158. |
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@article{888390, author = {Kubošová, Klára and Brabec, Karel and Jarkovský, Jiří and Syrovátka, Vít}, article_location = {Stuttgart}, article_number = {September}, keywords = {Habitat preferences Invertebrates Random forests Indicator value Predictive model}, language = {eng}, issn = {0018-8158}, journal = {Hydrobiologia}, title = {Selection of indicative taxa for river habitats: a case study on benthic macroinvertebrates using indicator species analysis and the random forest methods}, volume = {651}, year = {2010} }
TY - JOUR ID - 888390 AU - Kubošová, Klára - Brabec, Karel - Jarkovský, Jiří - Syrovátka, Vít PY - 2010 TI - Selection of indicative taxa for river habitats: a case study on benthic macroinvertebrates using indicator species analysis and the random forest methods JF - Hydrobiologia VL - 651 IS - September SP - 101-114 EP - 101-114 PB - Springer SN - 00188158 KW - Habitat preferences Invertebrates Random forests Indicator value Predictive model N2 - The aim of the study was to evaluate the exclusivity and/or preference of macroinvertebrate taxa for river habitats. Indicator species analysis and random forests methods were applied to the data set of macroinvertebrate samples taken from 58 sampling points. Samples were classified according to habitat types defined by the position in a river channel and local hydraulic characteristics. 86 macroinvertebrate taxa were included in the analyses. High indicative values for habitats (importance value C50 and/or indicator value C40) were identified for 26 taxa. The results of both methods can be considered similar. ER -
KUBOŠOVÁ, Klára, Karel BRABEC, Jiří JARKOVSKÝ and Vít SYROVÁTKA. Selection of indicative taxa for river habitats: a case study on benthic macroinvertebrates using indicator species analysis and the random forest methods. \textit{Hydrobiologia}. Stuttgart: Springer, 2010, vol.~651, September, p.~101-114, 15 pp. ISSN~0018-8158.
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