메뉴 건너뛰기




Volumn 8, Issue 3, 2012, Pages 418-429

Bayesian networks in environmental and resource management

Author keywords

Bayesian networks; Decision analysis; DPSIR; Ecological economic modeling; Risk analysis

Indexed keywords

ARTICLE; BAYES THEOREM; DECISION MAKING; ENVIRONMENT; ENVIRONMENTAL PROTECTION; METHODOLOGY; THEORETICAL MODEL;

EID: 84868277665     PISSN: 15513793     EISSN: None     Source Type: Journal    
DOI: 10.1002/ieam.1327     Document Type: Article
Times cited : (138)

References (76)
  • 2
    • 35148860777 scopus 로고    scopus 로고
    • Application of the DPSIR framework to environmental degradation assessment in northern Ghana
    • Agyemang I, McDonald A, Carver S. 2007. Application of the DPSIR framework to environmental degradation assessment in northern Ghana. Nat Resour Forum 31:212-225.
    • (2007) Nat. Resour. Forum , vol.31 , pp. 212-225
    • Agyemang, I.1    Mcdonald, A.2    Carver, S.3
  • 3
    • 77649274707 scopus 로고    scopus 로고
    • The art of the cognitive war to save the planet
    • Antal M, Hukkinen JI. 2010. The art of the cognitive war to save the planet. Ecol Econ 69:937-943.
    • (2010) Ecol. Econ. , vol.69 , pp. 937-943
    • Antal, M.1    Hukkinen, J.I.2
  • 4
  • 5
    • 43149092882 scopus 로고    scopus 로고
    • Bayesian belief networks as ameta-modeling tool in integrated river basin management-Pros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin
    • Barton DN, Saloranta T, Moe SJ, Eggestad HO, Kuikka S. 2008. Bayesian belief networks as ameta-modeling tool in integrated river basin management-Pros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin. Ecol Econ 66:91-104.
    • (2008) Ecol. Econ. , vol.66 , pp. 91-104
    • Barton, D.N.1    Saloranta, T.2    Moe, S.J.3    Eggestad, H.O.4    Kuikka, S.5
  • 6
    • 0034477365 scopus 로고    scopus 로고
    • Rediscovery of traditional ecological knowledge as adaptive management
    • Berkes F, Colding J, Folke C. 2000. Rediscovery of traditional ecological knowledge as adaptive management. Ecol Appl 10:1251-1262.
    • (2000) Ecol. Appl. , vol.10 , pp. 1251-1262
    • Berkes, F.1    Colding, J.2    Folke, C.3
  • 7
    • 28944447261 scopus 로고    scopus 로고
    • The European Water Framework Directive and the DPSIR, a methodological approach to assess the risk of failing to achieve good ecological status
    • Borja A, Galparsoro I, Solaun O, Muxika I, Tello EM, Uriarte A, Valencia V. 2006. The European Water Framework Directive and the DPSIR, a methodological approach to assess the risk of failing to achieve good ecological status. Estuar Coast Shelf S 66:84-96.
    • (2006) Estuar. Coast. Shelf S. , vol.66 , pp. 84-96
    • Borja, A.1    Galparsoro, I.2    Solaun, O.3    Muxika, I.4    Tello, E.M.5    Uriarte, A.6    Valencia, V.7
  • 8
    • 84868278135 scopus 로고    scopus 로고
    • A Bayesian network model for integrative river rehabilitation planning and management
    • Borsuk ME, Schweizer S, Reichert P., 2012. A Bayesian network model for integrative river rehabilitation planning and management. Integr Environ Assess Manag 8:462-472.
    • (2012) Integr. Environ. Assess. Manag. , vol.8 , pp. 462-472
    • Borsuk, M.E.1    Schweizer, S.2    Reichert, P.3
  • 9
    • 0035883503 scopus 로고    scopus 로고
    • A Bayesian hierarchical model to predict benthic oxygen demand from organic matter loading in estuaries and coastal zones
    • Borsuk ME, Higdon D, Stow CA, Reckhow KH. 2001. A Bayesian hierarchical model to predict benthic oxygen demand from organic matter loading in estuaries and coastal zones. Ecol Model 143:165-181.
    • (2001) Ecol. Model , vol.143 , pp. 165-181
    • Borsuk, M.E.1    Higdon, D.2    Stow, C.A.3    Reckhow, K.H.4
  • 10
    • 31644438995 scopus 로고    scopus 로고
    • Assessing the decline of brown trout (Salmo trutta) in Swiss rivers using a Bayesian probability network
    • Borsuk ME, Reichert P, Peter A, Schager E, Burkhardt-Holm P. 2006. Assessing the decline of brown trout (Salmo trutta) in Swiss rivers using a Bayesian probability network. Ecol Model 192:224-244.
    • (2006) Ecol. Model , vol.192 , pp. 224-244
    • Borsuk, M.E.1    Reichert, P.2    Peter, A.3    Schager, E.4    Burkhardt-Holm, P.5
  • 11
    • 0043205079 scopus 로고    scopus 로고
    • Integrated approach to total maximum daily load development for the Neuse River estuary using a Bayesian probability network model (Neu-BERN)
    • Borsuk ME, Stow CA, Reckhow KH. 2003. Integrated approach to total maximum daily load development for the Neuse River estuary using a Bayesian probability network model (Neu-BERN). J Water Res Plan Manage 129:271-282.
    • (2003) J. Water Res. Plan. Manage , vol.129 , pp. 271-282
    • Borsuk, M.E.1    Stow, C.A.2    Reckhow, K.H.3
  • 12
    • 1542548177 scopus 로고    scopus 로고
    • A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis
    • Borsuk ME, Stow CA, Reckhow KH. 2004. A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis. Ecol Model 173:219-239.
    • (2004) Ecol. Model , vol.173 , pp. 219-239
    • Borsuk, M.E.1    Stow, C.A.2    Reckhow, K.H.3
  • 15
    • 84863824084 scopus 로고    scopus 로고
    • Influence diagrams as decision-making tools for pesticide risk management
    • Carriger JF, Newman MC. 2011. Influence diagrams as decision-making tools for pesticide risk management. Integr Environ Assess Manag 8:339-350.
    • (2011) Integr. Environ. Assess. Manag. , vol.8 , pp. 339-350
    • Carriger, J.F.1    Newman, M.C.2
  • 16
    • 33947726599 scopus 로고    scopus 로고
    • Bayesian networks in water resource modelling and management
    • Castelletti A, Soncini-Sessa R. 2007. Bayesian networks in water resource modelling and management. Environ Modell Softw 22:1073-1074.
    • (2007) Environ. Modell. Softw. , vol.22 , pp. 1073-1074
    • Castelletti, A.1    Soncini-Sessa, R.2
  • 17
    • 37049005116 scopus 로고    scopus 로고
    • Thinking broadly about costs and benefits in ecological management
    • Costanza R. 2006. Thinking broadly about costs and benefits in ecological management. Integr Environ Assess Manag 2:166-173.
    • (2006) Integr. Environ. Assess. Manag. , vol.2 , pp. 166-173
    • Costanza, R.1
  • 18
    • 84868275486 scopus 로고    scopus 로고
    • evolutionary Bayesian belief network methodology for participatory decision making under uncertainty: An application to groundwater management
    • Farmani R, Henriksen HJ, Savic D, Butler D. 2012. An evolutionary Bayesian belief network methodology for participatory decision making under uncertainty: An application to groundwater management. Integr Environ Assess Manag 8:456-461.
    • (2012) Integr. Environ. Assess. Manag. , vol.8 , pp. 456-461
    • Farmani, R.1    Henriksen, H.J.2    Savic, D.3    Butler, D.4
  • 19
    • 76449097103 scopus 로고    scopus 로고
    • Formalizing expert knowledge to compare alternative management plans: Sociological perspective to the future management of Baltic salmon stocks
    • Haapasaari P, Karjalainen TP. 2010. Formalizing expert knowledge to compare alternative management plans: Sociological perspective to the future management of Baltic salmon stocks. Mar Policy 34:477-486.
    • (2010) Mar. Policy , vol.34 , pp. 477-486
    • Haapasaari, P.1    Karjalainen, T.P.2
  • 20
    • 35948976940 scopus 로고    scopus 로고
    • Management measures and fishers' commitment to sustainable exploitation: A case study of Atlantic salmon fisheries in the Baltic Sea
    • Haapasaari P, Michielsens CGJ, Karjalainen TP, Reinikainen K, Kuikka S. 2007 Management measures and fishers' commitment to sustainable exploitation: A case study of Atlantic salmon fisheries in the Baltic Sea. Ices J Mar Sci 64:825-833.
    • (2007) Ices. J. Mar. Sci. , vol.64 , pp. 825-833
    • Haapasaari, P.1    Michielsens, C.G.J.2    Karjalainen, T.P.3    Reinikainen, K.4    Kuikka, S.5
  • 21
    • 0000336926 scopus 로고
    • A Bayesian belief network advisory system for aspen regeneration
    • Haas TC. 1991a. A Bayesian belief network advisory system for aspen regeneration. Forest Sci 37:627-654.
    • (1991) Forest Sci. , vol.37 , pp. 627-654
    • Haas, T.C.1
  • 22
    • 0002881223 scopus 로고
    • Partial validation of Bayesian belief network advisory systems
    • Haas TC. 1991b. Partial validation of Bayesian belief network advisory systems. AI Appl 5:59-71.
    • (1991) AI Appl. , vol.5 , pp. 59-71
    • Haas, T.C.1
  • 23
    • 12744274846 scopus 로고    scopus 로고
    • A recipe for Bayesian network driven stock assessment
    • Hammond TR. 2004. A recipe for Bayesian network driven stock assessment. Can J Fish Aquat Sci 61:1647-1657.
    • (2004) Can. J. Fish Aquat. Sci. , vol.61 , pp. 1647-1657
    • Hammond, T.R.1
  • 24
    • 0034955610 scopus 로고    scopus 로고
    • application of the Bayesian approach to stock assessment model uncertainty
    • Hammond TR, O'Brien CM. 2001. An application of the Bayesian approach to stock assessment model uncertainty. Ices J Mar Sci 58:648-656.
    • (2001) Ices. J. Mar. Sci. , vol.58 , pp. 648-656
    • Hammond, T.R.1    O'brien, C.M.2
  • 26
    • 84868272530 scopus 로고    scopus 로고
    • Test of Bayesian belief network and stakeholder involvement
    • EVK1- 2000-0008 5-MERIT. Danish case study [cited 10 May 2011]. Available from
    • Henriksen HJ. 2004. Test of Bayesian belief network and stakeholder involvement. Groundwater management and protection at Havelse well field in Northern Zealand. EVK1- 2000-0008 5-MERIT. Danish case study [cited 10 May 2011]. Available from: www.geus.dk/program-areas/water/denmark/rapporter/merit_ aug_04-uk.htm
    • (2004) Groundwater management and protection at Havelse well field in Northern Zealand
    • Henriksen, H.J.1
  • 27
    • 47249129512 scopus 로고    scopus 로고
    • Reflections on the use of Bayesian belief networks for adaptive management
    • Henriksen HJ, Barlebo HC. 2008. Reflections on the use of Bayesian belief networks for adaptive management. J Environ Manage 88:1025-1036.
    • (2008) J. Environ. Manage , vol.88 , pp. 1025-1036
    • Henriksen, H.J.1    Barlebo, H.C.2
  • 28
    • 84855231798 scopus 로고    scopus 로고
    • The evolution of quantitative marine fisheries management 1985-2010
    • Hilborn R. 2012. The evolution of quantitative marine fisheries management 1985-2010 Nat Resour Model 122-144.
    • (2012) Nat. Resour. Model , pp. 122-144
    • Hilborn, R.1
  • 32
    • 84868266689 scopus 로고    scopus 로고
    • Integrated Bayesian network framework for modeling complex ecological issues
    • Johnson S, Mengersen K. 2012. Integrated Bayesian network framework for modeling complex ecological issues. Integr Environ Assess Manag 8:480-490.
    • (2012) Integr. Environ. Assess. Manag. , vol.8 , pp. 480-490
    • Johnson, S.1    Mengersen, K.2
  • 33
    • 84868296326 scopus 로고    scopus 로고
    • Integrating Bayesian networks and geographic information systems: Good practice examples
    • Johnson S, Low-Choy S, Mengersen K. 2012. Integrating Bayesian networks and geographic information systems: Good practice examples. Integr Environ Assess Manag 8:473-479.
    • (2012) Integr. Environ. Assess. Manag. , vol.8 , pp. 473-479
    • Johnson, S.1    Low-Choy, S.2    Mengersen, K.3
  • 36
    • 84858814065 scopus 로고    scopus 로고
    • Experiences in applying Bayesian integrative models in interdisciplinary modeling The computational and human challenges
    • editors. MODSIM2011, Society of Australia and New Zealand, December 2011
    • Kuikka S, Haapasaari P, Helle I, Kulmala S, Mäntyniemi S. 2011. Experiences in applying Bayesian integrative models in interdisciplinary modeling: The computational and human challenges. In: Chan F, Marinova D, Anderssen RS, editors. MODSIM 2011. 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2011. p 2135-2141.
    • (2011) 19th International Congress on Modelling and Simulation
    • Kuikka, S.1    Haapasaari, P.2    Helle, I.3    Kulmala, S.4    Mäntyniemi, S.5
  • 37
    • 0032807930 scopus 로고    scopus 로고
    • Modeling environmentally driven uncertainties in Baltic cod (Gadus morhua) management by Bayesian influence diagrams
    • Kuikka S, Hilden M, Gislason H, Hansson S, Sparholt H, Varis O. 1999. Modeling environmentally driven uncertainties in Baltic cod (Gadus morhua) management by Bayesian influence diagrams. Can J Fish Aquat Sci 56:629-641.
    • (1999) Can. J. Fish. Aquat. Sci. , vol.56 , pp. 629-641
    • Kuikka, S.1    Hilden, M.2    Gislason, H.3    Hansson, S.4    Sparholt, H.5    Varis, O.6
  • 38
    • 58149210716 scopus 로고
    • The EM algorithm for graphical association models with missing data
    • Laurizen SL. 1995. The EM algorithm for graphical association models with missing data. Comput Stat Data Anal 19:191-201.
    • (1995) Comput. Stat. Data Anal. , vol.19 , pp. 191-201
    • Laurizen, S.L.1
  • 39
    • 0035466786 scopus 로고    scopus 로고
    • Representing and solving decision problems with limited information
    • Lauritzen SL, Nilsson D. 2001. Representing and solving decision problems with limited information. Manage Sci 47:1235-1251.
    • (2001) Manage Sci. , vol.47 , pp. 1235-1251
    • Lauritzen, S.L.1    Nilsson, D.2
  • 42
    • 33846882597 scopus 로고    scopus 로고
    • Bayesian modelling of algal mass occurrences-using adaptive MCMC methods with a lake water quality model
    • Malve O, Laine M, Haario H, Kirkkala T, Sarvala J. 2007. Bayesian modelling of algal mass occurrences-using adaptive MCMC methods with a lake water quality model. Environ Modell Softw 22:966-977.
    • (2007) Environ. Modell. Softw. , vol.22 , pp. 966-977
    • Malve, O.1    Laine, M.2    Haario, H.3    Kirkkala, T.4    Sarvala, J.5
  • 43
    • 33846058777 scopus 로고    scopus 로고
    • Characterizing species at risk I: Modeling rare species under the Northwest Forest Plan
    • Marcot BG. 2006. Characterizing species at risk I: Modeling rare species under the Northwest Forest Plan. Ecol Soc 11:10.
    • (2006) Ecol. Soc. , vol.11 , pp. 10
    • Marcot, B.G.1
  • 44
    • 84868270981 scopus 로고    scopus 로고
    • Documentation of the Marbled Murrelet Bayesian network listing model
    • Portland (OR)
    • Marcot BG. 2007. Documentation of the Marbled Murrelet Bayesian network listing model. Portland (OR). Internal report to US Fish and Wildlife Service. p 13.
    • (2007) Internal report to US Fish and Wildlife Service , pp. 13
    • Marcot, B.G.1
  • 45
    • 84868281020 scopus 로고    scopus 로고
    • In: Naim P, Wuillemin P-H, Leray P, Pourret O, Becker A, editors. Réseaux bayésiens [French]. Paris (France): Eyrolles.
    • Marcot BG. 2008. Natural resource assessment and risk management. In: Naim P, Wuillemin P-H, Leray P, Pourret O, Becker A, editors. Réseaux bayésiens [French]. Paris (France): Eyrolles. p 423
    • (2008) Natural resource assessment and risk management , pp. 423
    • Marcot, B.G.1
  • 46
    • 84857706006 scopus 로고    scopus 로고
    • Metrics for evaluating performance and uncertainty of Bayesian network models
    • Marcot BG. 2012. Metrics for evaluating performance and uncertainty of Bayesian network models. Ecol Model 230:50-62.
    • (2012) Ecol. Model , vol.230 , pp. 50-62
    • Marcot, B.G.1
  • 47
    • 33846077068 scopus 로고    scopus 로고
    • Characterizing species at risk II: Using Bayesian belief networks as decision support tools to determine species conservation categories under the Northwest Forest Plan
    • Marcot BG, Hohenlohe PA, Morey S, Holmes R, Molina R, Turley M, Huff M, Laurence J. 2006. Characterizing species at risk II: Using Bayesian belief networks as decision support tools to determine species conservation categories under the Northwest Forest Plan. Ecol Soc 11:12.
    • (2006) Ecol. Soc. , vol.11 , pp. 12
    • Marcot, B.G.1    Hohenlohe, P.A.2    Morey, S.3    Holmes, R.4    Molina, R.5    Turley, M.6    Huff, M.7    Laurence, J.8
  • 48
    • 0035499301 scopus 로고    scopus 로고
    • Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement
    • Marcot BG, Holthausen RS, Raphael MG, Rowland MM, Wisdom MJ. 2001. Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement. Forest Ecol Manage 153:29-42.
    • (2001) Forest Ecol. Manage , vol.153 , pp. 29-42
    • Marcot, B.G.1    Holthausen, R.S.2    Raphael, M.G.3    Rowland, M.M.4    Wisdom, M.J.5
  • 49
    • 34249894163 scopus 로고    scopus 로고
    • Guidelines for developing and updating Bayesian belief networks applied to ecological modeling and conservation
    • Marcot BG, Steventon JD, Sutherland GD, McCann RK. 2006. Guidelines for developing and updating Bayesian belief networks applied to ecological modeling and conservation. Can J Forest Res 36:3063-3074.
    • (2006) Can. J. Forest Res. , vol.36 , pp. 3063-3074
    • Marcot, B.G.1    Steventon, J.D.2    Sutherland, G.D.3    Mccann, R.K.4
  • 50
    • 34249904903 scopus 로고    scopus 로고
    • Bayesian belief networks: Applications in ecology and natural resource management
    • McCann RK, Marcot BG, Ellis R. 2006. Bayesian belief networks: Applications in ecology and natural resource management. Can J Forest Res 36:3053-3062.
    • (2006) Can. J. Forest Res. , vol.36 , pp. 3053-3062
    • Mccann, R.K.1    Marcot, B.G.2    Ellis, R.3
  • 51
    • 78650678292 scopus 로고    scopus 로고
    • Combining state and transition models with dynamic Bayesian networks
    • Nicholson AE, Flores MJ. 2011. Combining state and transition models with dynamic Bayesian networks. Ecol Model 222:555-566.
    • (2011) Ecol. Model , vol.222 , pp. 555-566
    • Nicholson, A.E.1    Flores, M.J.2
  • 52
    • 34249887900 scopus 로고    scopus 로고
    • Using Bayesian belief networks in adaptive management
    • Nyberg JB, Marcot BG, Sulyma R. 2006. Using Bayesian belief networks in adaptive management. Can J Forest Res 36:3104-3116.
    • (2006) Can. J. Forest Res. , vol.36 , pp. 3104-3116
    • Nyberg, J.B.1    Marcot, B.G.2    Sulyma, R.3
  • 53
    • 33847743816 scopus 로고    scopus 로고
    • The integration of ecological risk assessment and structured decisionmaking into watershed management
    • Ohlson DW, Serveiss VB. 2007. The integration of ecological risk assessment and structured decisionmaking into watershed management. Integr Environ Assess Manag 3:118-128.
    • (2007) Integr. Environ. Assess. Manag. , vol.3 , pp. 118-128
    • Ohlson, D.W.1    Serveiss, V.B.2
  • 55
    • 0025529055 scopus 로고
    • A framework for modeling uncertain reasoning in ecosystem management II. Bayesian belief networks
    • Olson RL, Willers JL, Wagner TL. 1990. A framework for modeling uncertain reasoning in ecosystem management II. Bayesian belief networks. AI Appl Nat Resour Manage 4:11-24.
    • (1990) AI. Appl. Nat. Resour. Manage , vol.4 , pp. 11-24
    • Olson, R.L.1    Willers, J.L.2    Wagner, T.L.3
  • 58
    • 0033306413 scopus 로고    scopus 로고
    • Water quality prediction and probability network models
    • Reckhow KH. 1999. Water quality prediction and probability network models. Can J Fish Aquat Sci 56:1150-1158.
    • (1999) Can. J. Fish Aquat. Sci. , vol.56 , pp. 1150-1158
    • Reckhow, K.H.1
  • 59
    • 13744257142 scopus 로고    scopus 로고
    • Does high forecast uncertainty preclude effective decision support?
    • Reichert P, Borsuk ME. 2005. Does high forecast uncertainty preclude effective decision support? Environ Modell Softw 20:991-1001.
    • (2005) Environ. Modell. Softw. , vol.20 , pp. 991-1001
    • Reichert, P.1    Borsuk, M.E.2
  • 60
    • 0026652267 scopus 로고
    • Beyond expert systems-Reasoning, judgment and wisdom
    • Rowe AJ, Watkins PR. 1992. Beyond expert systems-Reasoning, judgment and wisdom. ESAI 4:1-10.
    • (1992) ESAI , vol.4 , pp. 1-10
    • Rowe, A.J.1    Watkins, P.R.2
  • 61
    • 80052311754 scopus 로고    scopus 로고
    • Use of multicriteria involvement processes to enhance transparency and stakeholder participation at Bergen Harbor, Norway
    • Sparrevik M, Barton DN, Oen AMP, Sehkar NU, Linkov I. 2011. Use of multicriteria involvement processes to enhance transparency and stakeholder participation at Bergen Harbor, Norway. Integr Environ Assess Manag 7: 414-425.
    • (2011) Integr. Environ. Assess. Manag. , vol.7 , pp. 414-425
    • Sparrevik, M.1    Barton, D.N.2    Oen, A.M.P.3    Sehkar, N.U.4    Linkov, I.5
  • 62
    • 80052335923 scopus 로고    scopus 로고
    • Toward sustainability: A case study demonstrating transdisciplinary learning through the selection and use of indicators in a decision-making process
    • Stahl C, Cimorelli A, Mazzarella C, Jenkins B. 2011. Toward sustainability: A case study demonstrating transdisciplinary learning through the selection and use of indicators in a decision-making process. Integr Environ Assess Manag 7:483-498.
    • (2011) Integr. Environ. Assess. Manag. , vol.7 , pp. 483-498
    • Stahl, C.1    Cimorelli, A.2    Mazzarella, C.3    Jenkins, B.4
  • 63
    • 0020751755 scopus 로고
    • Normative predicates of next-generation management support systems
    • Sutherland JW. 1983. Normative predicates of next-generation management support systems. IEEE Trans Syst Man Cybern 13:279-297.
    • (1983) IEEE Trans Syst Man Cybern , vol.13 , pp. 279-297
    • Sutherland, J.W.1
  • 64
    • 33947731539 scopus 로고    scopus 로고
    • A Bayesian network approach for assessing the sustainability of coastal lakes in New South Wales, Australia
    • Ticehurst JL, Newham LTH, Rissik D, Letcher RA, Jakeman AJ. 2007. A Bayesian network approach for assessing the sustainability of coastal lakes in New South Wales, Australia. Environ Modell Softw 22:1129-1139.
    • (2007) Environ. Modell. Softw. , vol.22 , pp. 1129-1139
    • Ticehurst, J.L.1    Newham, L.T.H.2    Rissik, D.3    Letcher, R.A.4    Jakeman, A.J.5
  • 66
    • 84868275963 scopus 로고    scopus 로고
    • Assessing the roles of environmental factors in coastal fish production in the northern Baltic Sea: A Bayesian network application
    • Uusitalo L, Kuikka S, Kauppila P, Söderkultalahti P, Bäck S. 2012. Assessing the roles of environmental factors in coastal fish production in the northern Baltic Sea: A Bayesian network application. Integr Environ Assess Manag 8:445-455.
    • (2012) Integr. Environ. Assess. Manag. , vol.8 , pp. 445-455
    • Uusitalo, L.1    Kuikka, S.2    Kauppila, P.3    Söderkultalahti, P.4    Bäck, S.5
  • 67
    • 34047185270 scopus 로고    scopus 로고
    • Advantages and challenges of Bayesian networks in environmental modeling
    • Uusitalo L. 2007. Advantages and challenges of Bayesian networks in environmental modeling. Ecol Model 203:312-318.
    • (2007) Ecol. Model , vol.203 , pp. 312-318
    • Uusitalo, L.1
  • 68
    • 19744371748 scopus 로고    scopus 로고
    • Estimation of Atlantic salmon smolt carrying capacity of rivers using expert knowledge
    • Uusitalo L, Kuikka S, Romakkaniemi A. 2005. Estimation of Atlantic salmon smolt carrying capacity of rivers using expert knowledge. Ices J Mar Sci 62:708-722.
    • (2005) Ices. J. Mar. Sci. , vol.62 , pp. 708-722
    • Uusitalo, L.1    Kuikka, S.2    Romakkaniemi, A.3
  • 69
    • 84868281806 scopus 로고    scopus 로고
    • Fully connected Bayesian belief networks: A modeling procedure with a case study of the Ganges river basin
    • Varis O, Rahaman MM, Kajander T., 2012. Fully connected Bayesian belief networks: A modeling procedure with a case study of the Ganges river basin. Integr Environ Assess Manag 8:491-502.
    • (2012) Integr. Environ. Assess. Manag. , vol.8 , pp. 491-502
    • Varis, O.1    Rahaman, M.M.2    Kajander, T.3
  • 70
    • 0036605753 scopus 로고    scopus 로고
    • Water resources development in the lower Senegal River Basin: Conflicting interests, environmental concerns and policy options
    • Varis O, Fraboulet-Jussila S. 2002. Water resources development in the lower Senegal River Basin: Conflicting interests, environmental concerns and policy options. Water Res Dev 18:245-260.
    • (2002) Water Res Dev , vol.18 , pp. 245-260
    • Varis, O.1    Fraboulet-Jussila, S.2
  • 71
    • 38249020855 scopus 로고
    • Bayesian influence diagram approach to complex environmental-management including observational design
    • Varis O, Kettunen J, Sirvio H. 1990. Bayesian influence diagram approach to complex environmental-management including observational design. Comput Stat Data An 9:77-91.
    • (1990) Comput. Stat. Data An. , vol.9 , pp. 77-91
    • Varis, O.1    Kettunen, J.2    Sirvio, H.3
  • 72
    • 0030832822 scopus 로고    scopus 로고
    • BeNe-EIA: A Bayesian approach to expert judgment elicitation with case studies on climate change impacts on surface waters
    • Varis O, Kuikka S. 1997a. BeNe-EIA: A Bayesian approach to expert judgment elicitation with case studies on climate change impacts on surface waters. Climatic Change 37:539-563.
    • (1997) Climatic Change , vol.37 , pp. 539-563
    • Varis, O.1    Kuikka, S.2
  • 73
    • 0030660524 scopus 로고    scopus 로고
    • Joint use of multiple environmental assessment models by a Bayesian meta-model: The Baltic salmon case
    • Varis O, Kuikka S. 1997b. Joint use of multiple environmental assessment models by a Bayesian meta-model: The Baltic salmon case. Ecol Model 102:341-351.
    • (1997) Ecol. Model , vol.102 , pp. 341-351
    • Varis, O.1    Kuikka, S.2
  • 74
    • 0033565273 scopus 로고    scopus 로고
    • Learning Bayesian decision analysis by doing: lessons from environmental and natural resources management
    • Varis O, Kuikka S. 1999. Learning Bayesian decision analysis by doing: lessons from environmental and natural resources management. Ecol Model 119:177-195.
    • (1999) Ecol. Model , vol.119 , pp. 177-195
    • Varis, O.1    Kuikka, S.2
  • 75
    • 0036883447 scopus 로고    scopus 로고
    • Integrated water resources management along the Senegal River: Introduction an analytical framework
    • Varis O, Lahtela V. 2002. Integrated water resources management along the Senegal River: Introduction an analytical framework. Water Resour Res 18:501-521.
    • (2002) Water Resour. Res. , vol.18 , pp. 501-521
    • Varis, O.1    Lahtela, V.2
  • 76
    • 3042718919 scopus 로고    scopus 로고
    • Value of information analysis in environmental health risk management decisions: Past, present and future
    • Yokota F, Thompson KM. 2004. Value of information analysis in environmental health risk management decisions: Past, present and future. Risk Anal 24:635-650.
    • (2004) Risk Anal. , vol.24 , pp. 635-650
    • Yokota, F.1    Thompson, K.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.