The Fish Health Risk Indicator: linking water quality and river flow data with fish health to improve our predictive capacity around fish death events
Alec W. Davie
A C and Joe B. Pera A B
A WaterNSW, Parramatta, NSW, Australia.
B School of Life Sciences, University of Technology Sydney, Broadway, NSW, Australia.
C Corresponding author. Email: alec.davie@waternsw.com.au
Marine and Freshwater Research 73(2) 193-199 https://doi.org/10.1071/MF20360
Submitted: 13 December 2020 Accepted: 31 August 2021 Published: 30 September 2021
Abstract
Severe drought conditions contributed to three mass fish mortality events in the Darling River near Menindee, part of the Murray–Darling Basin, Australia, during the summer of 2018–19. An independent assessment recommended the need for improved modelling approaches to identify when sections of rivers may be more susceptible to fish kill events. We present a geographic information system (GIS)-based tool that combines meteorological forecasts with river flow and algal biomass datasets to identify river reaches where additional stresses on fish health may produce an increased risk of mass fish deaths. At present the tool is still in development and will require the addition of extra datasets and testing using historical datasets to further validate its accuracy. Despite the tool being in its development stage, the decision support tool has been widely accepted and provides natural resource managers with a rapid way to understand and communicate risks to fish health, supporting improved water management options across the Murray–Darling Basin that may ultimately help reduce the frequency and severity of large-scale fish mortality events.
Keywords: bony herring, Darling River, drought, fish deaths, GIS, Menindee, Murray Cod.
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