Bayesian network Provides an environmental flow Peer reviewed, MDB Key information to be considered in Shenton et al, 2-B1 models Bayesian Network model linking reproducible (South) development of conceptual models. 2010 (Adequate) hydrological components (timing, evolving science Includes a specific focus on flows and magnitude, frequency and duration) to recruitment and considered in predict spawning and recruitment for development of BEWS. Relatively recent Australian Grayling and River Blackfish work (less than 10 years since (La Trobe River, Victoria). publication). Southern Basin focus (may require amendment for application in the North) and does not include movement focus. Bayesian network Uses Bayesian Network Modelling for Peer reviewed, Australia Key information to be considered in Chan et al, 2012 2-B1 models dry season flows and biology of reproducible (outside development of conceptual models. (Adequate) Barramundi and Sooty Grunter, Daly evolving science MDB) Includes a specific focus on flows and River, Northern Territory. recruitment and considered in development of BEWS. Relatively recent work (less than 10 years since publication). Developed outside the MDB and focuses on two specific species. Bayesian network Uses Bayesian Belief Network Decision Peer reviewed, MDB Key information to be considered in Gawne et al, 2-B1 models – including Support Tool for watering wetlands to reproducible (South) development of conceptual models. 2012; Beesley (Adequate) Carp responses to maximise native fish outcomes, based evolving science Includes a specific focus on flow and et al, 2011 flow on modelled abundance, population relationships. Relatively recent structure and fish condition for Carp, work (less than 10 years since Carp Gudgeon, Australian Smelt and publication). Southern Basin focus (may Golden Perch. Species were selected require amendment for application in the as they ‘represent a diversity of life North) and does not include movement history traits’ and have sufficient focus. Largely Murray Valley specific and ecological knowledge to construct and only operates at the scale of an individual populate the Bayesian network model. wetland. Only predicts responses to single Model validation based on data from watering events.
Bayesian network models Provides an environmental flow Bayesian Network model linking hydrological components (timing, magnitude, frequency and duration) to predict spawning and recruitment for Australian Grayling and River Blackfish (La Trobe River, Victoria). Peer reviewed, reproducible evolving science MDB (South) Key information to be considered in development of conceptual models. Includes a specific focus on flows and recruitment and considered in development of BEWS. Relatively recent work (less than 10 years since publication). Southern Basin focus (may require amendment for application in the North) and does not include movement focus. Shenton et al, 2010 2-B1 (Adequate) Bayesian network models Uses Bayesian Network Modelling for dry season flows and biology of Barramundi and Sooty Grunter, Daly River, Northern Territory. Peer reviewed, reproducible evolving science Australia (outside MDB) Key information to be considered in development of conceptual models. Includes a specific focus on flows and recruitment and considered in development of BEWS. Relatively recent work (less than 10 years since publication). Developed outside the MDB and focuses on two specific species. Chan et al, 2012 2-B1 (Adequate) Bayesian network models – including Carp responses to flow Uses Bayesian Belief Network Decision Support Tool for watering wetlands to maximise native fish outcomes, based on modelled abundance, population structure and fish condition for Carp, Carp Gudgeon, Australian Smelt and Golden Perch. Species were selected as they ‘represent a diversity of life history traits’ and have sufficient ecological knowledge to construct and populate the Bayesian network model. Model validation based on data from Peer reviewed, reproducible evolving science MDB (South) Key information to be considered in development of conceptual models. Includes a specific focus on flow and relationships. Relatively recent work (less than 10 years since publication). Southern Basin focus (may require amendment for application in the North) and does not include movement focus. Largely Murray Valley specific and only operates at the scale of an individual wetland. Only predicts responses to single watering events. Gawne et al, 2012; Beesley et al, 2011 2-B1 (Adequate)
fish-and-flow-nb-stage-1-literature-review.docx