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Application of Bayesian Belief Networks for the prediction of macroinvertebrate taxa in rivers

Author
ADRIAENSSENS, V1 ; GOETHALS, P. L. M1 ; CHARLES, J1 ; DE PAUW, N1
[1] Laboratory of Environmental Toxicology and Aquatic Ecology, Ghent University, Jozef Plateaustraat 22, 9000 Gent, Belgium
Source

Annales de limnologie. = International journal of limnology. 2004, Vol 40, Num 3, pp 181-191, 11 p ; ref : 1 p.1/4

CODEN
ANLIB3
ISSN
0003-4088
Scientific domain
Marine biology, limnology; Ecology; Environment
Publisher
Université Paul Sabatier, Toulouse
Publication country
France
Document type
Article
Language
English
Author keyword
decision support ecological modelling river management uncertainty
Keyword (fr)
Aide décision Crustacea Ecologie Gammaridae Gestion environnement Limnologie Modèle prévision Modélisation Rivière Réseau Bayes Asellidae Belgique Amphipoda Arthropoda Invertebrata Milieu eau douce Europe
Keyword (en)
Decision aid Crustacea Ecology Gammaridae Environmental management Limnology Forecast model Modeling Rivers Bayes network Belgium Amphipoda Arthropoda Invertebrata Freshwater environment Europe
Keyword (es)
Ayuda decisión Crustacea Ecología Gammaridae Gestiòn medio ambiente Limnología Modelo previsión Modelización Río Red Bayes Belgica Amphipoda Arthropoda Invertebrata Medio agua dulce Europa
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14B Animal and plant ecology / 002A14B04 Synecology / 002A14B04C Fresh water ecosystems

Discipline
Animal, vegetal and microbial ecology
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16136939

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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