A heuristic approach to predicting water beetle diversity in temporary and fluctuating waters

Ecological Modelling

Volumn 221, Issue 11, 2010, Pages 1451-1462

  Gutiérrez Estrada, Juan C ^a   Bilton, David T ^b  

^a UNIVERSITY OF HUELVA   (Spain)

^b UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

Artificial neural network (ANN); Generalised additive model (GAM); Macroinvertebrates; Multiple linear regression (MLR); Physicochemistry; Species diversity

Indexed keywords

ADDITIVE MODELS; ARTIFICIAL NEURAL NETWORK; MACROINVERTEBRATES; MULTIPLE LINEAR REGRESSIONS; SPECIES DIVERSITY;

ANIMALS; BIODIVERSITY; CLUSTER ANALYSIS; LAKES; LINEAR REGRESSION; MAGNESIUM; TURBIDITY;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; BEETLE; DIVERSITY INDEX; ECOSYSTEM APPROACH; ECOSYSTEM MANAGEMENT; HABITAT CONSERVATION; HEURISTICS; LINEARITY; MACROINVERTEBRATE; REGRESSION ANALYSIS; SPECIES DIVERSITY;

ENGLAND; UNITED KINGDOM;

COLEOPTERA;

EID: 77952110711     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2010.03.007     Document Type: Article

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