Investigating the Use of a Bayesian Network to Model the Risk of Lyngbya majuscula Bloom Initiation in Deception Bay, Queensland, Australia

REFERENCES

• Ahern , K S , O'Neil , J M Udy , J W . 2006a . Effects of iron additions on filament growth and productivity of the cyanobacterium Lyngbya majuscula . Mar Fresh Res , 57 : 167 – 76 .
   Web of Science ®Google Scholar
• Ahern , K S , Udy , J W and Pointon , S M . 2006b . Investigating the potential for groundwater from different vegetation, soil and land uses to stimulate blooms of the cyanobacterium, Lyngbya majuscula, in coastal waters . Mar Fresh Res , 57 : 177 – 86 .
   Web of Science ®Google Scholar
• Albert , S , O'Neil , J M Udy , J W . 2005 . Blooms of the cyanobacterium Lyngbya majuscula in coastal Queensland, Australia: Disparate sites, common factors . Mar Poll Bull , 51 : 428 – 37 .
   PubMed Web of Science ®Google Scholar
• Ames , D P , Neilson , B T Stevens , D K . 2005 . Using Bayesian networks to model watershed management decisions: An East Canyon Creek case study . J Hydro , 7 : 267 – 82 .
   Google Scholar
• Anderson , D M , Glibert , P M and Burkholde , J M . 2002 . Harmful algal blooms and eutrophication: Nutrient sources, composition, and consequences . Estuaries , 25 : 704 – 2 .
   Google Scholar
• Arquitt , S and Johnstone , R . 2003 . A scoping and consensus building model of a toxic blue-green algae bloom . Sys Dyn Rev , 20 : 179 – 9 .
   Web of Science ®Google Scholar
• Arthur , K E , Limpus , C J Roelfsema , C M . 2006 . A bloom of Lyngbya majuscula in Shoalwater Bay, Queensland, Australia: An important feeding ground for the green turtle Chelonia mydas . Harmful Algae , 5 : 251 – 65 .
   Web of Science ®Google Scholar
• Borsuk , M E , Powers , S P and Peterson , C H . 2002 . A survival model of the effects of bottom-water hypoxia on the population density of an estuarine clam (Macoma balthica) . Can J Fish Aquat Sci , 59 : 1266 – 7 .
   Web of Science ®Google Scholar
• Borsuk , M E , Stow , C A and Reckhow , K H . 2004 . A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis . Ecol Model , 173 : 219 – 3 .
   Web of Science ®Google Scholar
• Burgman , M A . 2005 . Risks and Decisions for Conservation and Environmental Management , Cambridge, UK : Cambridge University Press .
   Google Scholar
• Cain , J . 2001 . Planning Improvements in Natural Resources Management , Wallingford, UK : Centre for Ecology and Hydrology .
   Google Scholar
• Capper , A , Tibbetts , I R , O'Neil , J M and Shaw , G R . 2006 . Feeding preference and deterrence in rabbitfish Siganus fuscescens for the cyanobacterium Lyngbya majuscula in Moreton Bay, south-east Queensland, Australia . J Fish Biol , 68 : 1589 – 160 .
   Web of Science ®Google Scholar
• Clark , J S , Carpenter , S R Barber , M . 2001 . Ecological forecasts: An emerging imperative . Science , 293 : 657 – 60 .
   PubMed Web of Science ®Google Scholar
• Dennison , W C and Abal , E G . 1999 . Moreton Bay Study: A Scientific Basis for the Healthy Waterways Campaign , Brisbane, , Australia : South East Queensland Regional Water Quality Management Team .
   Google Scholar
• Dennison , W C , O'Neill , J M Duffy , E . Blooms of the cyanobacterium Lyngbya majuscula in coastal waters of Queensland . Proceedings of the International Symposium on Marine Cyanobateria Bulletin de l'Institut Oceanographique . Monaco. Edited by: Charpy , L and Larkum , A WD . pp. 632
   Google Scholar
• Elmetri , I and Bell , P RF . 2004 . Effects of phosphorus on the growth and nitrogen fixation rates of Lyngbya majuscula: Implications for management in Moreton Bay, Queensland . Mar Ecol-Prog Ser , 281 : 27 – 3 .
   Web of Science ®Google Scholar
• Hamilton , G S , Alston , C Chiffings , T . 2005 . “ Integrating science through Bayesian belief networks: Case study of Lyngbya in Moreton Bay ” . In MODSIM 2005 International Congress on Modelling and Simulation , Edited by: Zerger , A and Argent , R M . 2089 – 95 . Melbourne, , Australia : Modelling and Simulation Society of Australia and New Zealand .
   Google Scholar
• Hart , B T , Burgman , M Grace , M . 2006 . Risk-based approaches to managing contaminants in catchments . Hum Ecol Risk Assess , 12 : 66 – 73 .
   Web of Science ®Google Scholar
• Holling , C S . 1998 . Two cultures of ecology . Cons Ecol [online] , 2 : 4
   Google Scholar
• Jensen , F V . 2001 . Bayesian Networks and Decision Graphs , New York, NY, , USA : Springer .
   Google Scholar
• Longstaff , B , Dennison , W C Albert , S . 2001 . Light Interactions Task LI. Final Report, October 2001: Role of Light Quality and Quantity on Cyanobacterial Bloom Formation. Healthy Waterways Partnership, South east Queensland
   Google Scholar
• Marnane , M J and Bellwood , D R . 1997 . Marker technique for investigating gut throughput rates in coral reef fishes . Mar Biol , 129 : 15 – 2 .
   Web of Science ®Google Scholar
• Osborne , N JT , Webb , P M and Shaw , G R . 2001 . The toxins of Lyngbya majuscula and their human and ecological health effects . Environ Int , 27 : 381 – 9 .
   PubMed Web of Science ®Google Scholar
• Paerl , H W , Prufertbebout , L E and Guo , C Z . 1994 . Iron-stimulated N-2 fixation and growth in natural and cultured populations of the planktonic marine cyanobacteria Trichodesmium Spp . App Environ Micro , 60 : 1044 – 7 .
   PubMed Web of Science ®Google Scholar
• Pollino , C A and White , A . 2005 . “ Development and application of a Bayesian decision support tool to assist in the management of an endangered species ” . In MODSIM 2005 International Congress on Modelling and Simulation , Edited by: Zerger , A and Argent , R M . 2089 – 95 . Melbourne, , Australia : Modelling and Simulation Society of Australia and New Zealand . December
   Google Scholar
• Pollino , C A , Woodberry , O Nicholson , A E . Parameterising Bayesian networks: A case study in ecological risk assessment . Proceedings of the 2005 International Conference on Simulation and Modelling . Bangkok, Thailand. Edited by: Kachitvichyanukul , V , Purintrapiban , U and Utayopas , P .
   Google Scholar
• Pollino , C A , Woodberry , O Feehan , P . 2006 . Development of a Bayesian network to quantify the risks to fish in a highly modified catchment . Ecol Mod , (in press)
   PubMed Web of Science ®Google Scholar
• Rose , A L and Waite , T D . 2003a . Effect of dissolved natural organic matter on the kinetics of ferrous iron oxygenation in seawater . Environ Sci & Tech , 37 : 4877 – 86 .
   PubMed Web of Science ®Google Scholar
• Rose , A L and Waite , T D . 2003b . Kinetics of iron complexation by dissolved natural organic matter in coastal waters . Mar Chem , 84 : 85 – 103 .
   Web of Science ®Google Scholar
• Sadek , S , Ittawa , I and Martello , R . 1986 . Culture of mullet species in ponds receiving iron crush effluents at El-Baharia Oasis . Egypt Aquaculture , 59 : 23 – 39 .
   Web of Science ®Google Scholar
• Sadoddin , A , Letcher , R A Jakeman , A J . 2005 . A Bayesian decision network approach for assessing the ecological impacts of salinity management . Math Comp Sim , 69 : 162 – 76 .
   Web of Science ®Google Scholar
• Sellner , K G . 1992 . “ Trophodynamics of marine cyanobacterial blooms ” . In Marine Pelagic Cyanobacteria: Tricodesmium and Other Diazotrophs , Edited by: Carpenter , E J , Capone , D G and Rueter , J G . Dordrecht, , The Netherlands : Kluwer Academic Publishers .
   Google Scholar
• Thacker , R W and Paul , V J . 2001 . Are benthic cyanobacteria indicators of nutrient enrichment? Relationships between cyanobacterial abundance and environmental factors on the reef flats of Guam . Bull Mar Sci , 69 : 497 – 50 .
   Web of Science ®Google Scholar
• Watkinson , A J , O'Neil , J M and Dennison , W C . 2005 . Ecophysiology of the marine cyanobacterium, Lyngbya majuscula Oscillatoriaceae in Moreton Bay, Australia . Harm Alg , 4 : 697 – 71 .
   Web of Science ®Google Scholar
• Wooldridge , S and Done , T . 2004 . Learning to predict large-scale coral bleaching from past events: A Bayesian approach using remotely sensed data, in-situ data, and environmental proxies . Coral Reefs , 23 : 96 – 108 .
   Web of Science ®Google Scholar