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Tracking baby fish for better reef management

Date:
August 1, 2019
Source:
ARC Centre of Excellence for Coral Reef Studies
Summary:
Scientists have created the world's first computer model to predict the movements of baby coral trout across the Great Barrier Reef. The models are validated by in-depth fieldwork and genetic tracking, and will help managers decide which areas need the most protection to ensure future adult populations of coral trout.
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A group of Australian scientists has created the world's first computer model that can accurately predict the movements of baby coral trout across the Great Barrier Reef. The study confirms the importance of fish larvae produced in no-take zones for the health of fish populations within nearby fishing zones.

Tracking the lives of thousands of tiny baby fish is no easy task. But knowing where they'll settle and spend their lives as adults is invaluable data for the fishing industry and reef managers.

The accuracy of the model was tested in a recent study -- led by Dr Michael Bode from the ARC Centre of Excellence for Coral Reef Studies (Coral CoE) at James Cook University (JCU) -- that validates the computer predictions with field data.

This is a world-first achievement, combining the movement of ocean currents in and around the Great Barrier Reef with the genetic and behavioural data of fish.

"The study is a unique conservation collaboration between marine biologists, geneticists, and recreational fishers," Dr Bode said.

"This was a major field effort combined with some clever genetic work that involved matching baby fish to their parents to understand their movement," co-author Dr Hugo Harrison, also from Coral CoE at JCU, said. "The behaviour of fish in their first few weeks after hatching can really influence where they eventually settle."

The study focussed on coral trout, Plectropomus maculatus, which is one of the most valuable species of fish regularly caught on the Great Barrier Reef.

To test the computer model's predictions 1,190 juvenile and 880 adult fish were tracked -- from spawning locations to settlement -- across the reef for two years.

The computer model recreates the movements of baby fish across space and time by considering what depth the coral trout swim at, how fast they swim, and how they orient themselves as they grow older.

The results highlighted the interconnectedness of reefs, and how important no-take zones are when considering future adult fish populations.

"Our results prove that the Great Barrier Reef's no-take zones are connected with invisible threads," Dr Bode said.

"Knowing how reefs are connected to one another means fishers and managers alike can identify which areas are likely to be most productive and need protecting," Dr Harrison said. "It's the babies from these protected areas that will continue to restock fish populations on neighbouring reefs where fishing is allowed."

Dr Bode said establishing the accuracy of these models is an important breakthrough.

"Our match between models and data provides reassuring support for using them as decision-support tools, but also directions for future improvement."


Story Source:

Materials provided by ARC Centre of Excellence for Coral Reef Studies. Note: Content may be edited for style and length.


Journal Reference:

  1. Michael Bode, Jeffrey M. Leis, Luciano B. Mason, David H. Williamson, Hugo B. Harrison, Severine Choukroun, Geoffrey P. Jones. Successful validation of a larval dispersal model using genetic parentage data. PLOS Biology, 2019; 17 (7): e3000380 DOI: 10.1371/journal.pbio.3000380

Cite This Page:

ARC Centre of Excellence for Coral Reef Studies. "Tracking baby fish for better reef management." ScienceDaily. ScienceDaily, 1 August 2019. <www.sciencedaily.com/releases/2019/08/190801093321.htm>.
ARC Centre of Excellence for Coral Reef Studies. (2019, August 1). Tracking baby fish for better reef management. ScienceDaily. Retrieved February 29, 2024 from www.sciencedaily.com/releases/2019/08/190801093321.htm
ARC Centre of Excellence for Coral Reef Studies. "Tracking baby fish for better reef management." ScienceDaily. www.sciencedaily.com/releases/2019/08/190801093321.htm (accessed February 29, 2024).

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