Using multi-target clustering trees as a tool to predict biological water quality indices based on benthic macroinvertebrates and environmental parameters in the Chaguana watershed (Ecuador)

Ecological Informatics

Volumn 6, Issue 5, 2011, Pages 303-308

  Dominguez Granda, Luis ^a,b   Lock, Koen ^a   Goethals, Peter L M ^a  

^a GHENT UNIVERSITY   (Belgium)

^b ESCUELA SUPERIOR POLITÉCNICA DEL LITORAL   (Ecuador)

Author keywords

Aquatic insects; Biological indices; Diversity; Macroinvertebrates; Multitarget clustering trees; Richness

Indexed keywords

ABUNDANCE; BENTHOS; BIOINDICATOR; CLUSTER ANALYSIS; CORRELATION; CURRENT VELOCITY; DECISION SUPPORT SYSTEM; DISSOLVED OXYGEN; INSECT; MACROINVERTEBRATE; SAMPLING; SPECIES DIVERSITY; SPECIES RICHNESS; WATER QUALITY;

CHAGUANA BASIN; ECUADOR; EL ORO;

HEXAPODA; HYDROPSYCHIDAE; LIBELLULIDAE; MEGAPODAGRIONIDAE;

EID: 80051793210     PISSN: 15749541     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoinf.2011.05.004     Document Type: Article

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