Bayesian networks in environmental and resource management

David N. Barton; Sakari Kuikka; Olli Varis; Laura Uusitalo; Hans Jørgen Henriksen; Mark Borsuk; Africa de la Hera; Raziyeh Farmani; Sandra Johnson; John D.C. Linnell

doi:10.1002/ieam.1327

Bayesian networks in environmental and resource management

David N. Barton
, Sakari Kuikka
, Olli Varis
, Laura Uusitalo
, Hans Jørgen Henriksen
, Mark Borsuk
, Africa de la Hera
, Raziyeh Farmani
, Sandra Johnson
, John D.C. Linnell

Department of Hydrology

Research output: Contribution to journal › Article › Research › peer-review

148 Citations (Scopus)

Abstract

This overview article for the special series, "Bayesian Networks in Environmental and Resource Management," reviews 7 case study articles with the aim to compare Bayesian network (BN) applications to different environmental and resource management problems from around the world. The article discusses advances in the last decade in the use of BNs as applied to environmental and resource management. We highlight progress in computational methods, best-practices for model design and model communication. We review several research challenges to the use of BNs in environmental and resource management that we think may find a solution in the near future with further research attention. Integr Environ Assess Manag 2012;8:418-429.

Original language	English
Pages (from-to)	418-429
Number of pages	12
Journal	Integrated Environmental Assessment and Management
Volume	8
Issue number	3
DOIs	https://doi.org/10.1002/ieam.1327
Publication status	Published - Jul 2012

Keywords

Bayesian networks
Decision analysis
DPSIR
Ecological economic modeling
Risk analysis

Programme Area

Programme Area 5: Nature and Climate

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10.1002/ieam.1327

Cite this

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title = "Bayesian networks in environmental and resource management",

abstract = "This overview article for the special series, {"}Bayesian Networks in Environmental and Resource Management,{"} reviews 7 case study articles with the aim to compare Bayesian network (BN) applications to different environmental and resource management problems from around the world. The article discusses advances in the last decade in the use of BNs as applied to environmental and resource management. We highlight progress in computational methods, best-practices for model design and model communication. We review several research challenges to the use of BNs in environmental and resource management that we think may find a solution in the near future with further research attention. Integr Environ Assess Manag 2012;8:418-429.",

keywords = "Bayesian networks, Decision analysis, DPSIR, Ecological economic modeling, Risk analysis",

author = "Barton, \{David N.\} and Sakari Kuikka and Olli Varis and Laura Uusitalo and Henriksen, \{Hans J{\o}rgen\} and Mark Borsuk and \{de la Hera\}, Africa and Raziyeh Farmani and Sandra Johnson and Linnell, \{John D.C.\}",

year = "2012",

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doi = "10.1002/ieam.1327",

language = "English",

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T1 - Bayesian networks in environmental and resource management

AU - Barton, David N.

AU - Kuikka, Sakari

AU - Varis, Olli

AU - Uusitalo, Laura

AU - Henriksen, Hans Jørgen

AU - Borsuk, Mark

AU - de la Hera, Africa

AU - Farmani, Raziyeh

AU - Johnson, Sandra

AU - Linnell, John D.C.

PY - 2012/7

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KW - Bayesian networks

KW - Decision analysis

KW - DPSIR

KW - Ecological economic modeling

KW - Risk analysis

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VL - 8

SP - 418

EP - 429

JO - Integrated Environmental Assessment and Management

JF - Integrated Environmental Assessment and Management

IS - 3

ER -

Bayesian networks in environmental and resource management

Abstract

Keywords

Programme Area

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