Developing best-practice Bayesian Belief Networks in ecological risk assessments for freshwater and estuarine ecosystems: a quantitative review.

McDonald, K S; Ryder, D S; Tighe, M

McDonald, K S; Ryder, D S; Tighe, M.

Afiliação

McDonald KS; Ecosystem Management, School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia. Electronic address: kmcdonal@une.edu.au.
Ryder DS; Ecosystem Management, School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
Tighe M; Agronomy and Soil Science, School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.

J Environ Manage ; 154: 190-200, 2015 May 01.

Article em En | MEDLINE | ID: mdl-25733196

Assuntos

Teorema de Bayes; Estuários; Água Doce; Ecossistema; Humanos; Modelos Teóricos; Medição de Risco

Palavras-chave

Adaptive management; Stochastic modelling; Uncertainty

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Teorema de Bayes / Estuários / Água Doce Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article

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