Journal article

Make the Most of the Data You've Got: Bayesian Models and a Surrogate Species Approach to Assessing Benefits of Upstream Migration Flows for the Endangered Australian Grayling

J Angus Webb, Wayne M Koster, Ivor G Stuart, Paul Reich, Michael J Stewardson

Environmental Management | SPRINGER | Published : 2018

Abstract

Environmental water managers must make best use of allocations, and adaptive management is one means of improving effectiveness of environmental water delivery. Adaptive management relies on generation of new knowledge from monitoring and evaluation, but it is often difficult to make clear inferences from available monitoring data. Alternative approaches to assessment of flow benefits may offer an improved pathway to adaptive management. We developed Bayesian statistical models to inform adaptive management of the threatened Australian grayling (Prototroctes maraena) in the coastal Thomson River, South-East Victoria Australia. The models assessed the importance of flows in spring and early s..

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Grants

Funding Acknowledgements

This work was funded through DELWP Research Contract, "VEFMAP Stage V: Further analysis of VEFMAP data". We thank Fiona Spruzen, Paulo Lay, and the project Technical Reference Group for their guidance. We also acknowledge the long-term data collection efforts of the staff from the Arthur Rylah Institute and other providers, as well as the management of VEFMAP by the West Gippsland Catchment Management Authority.