Linking spatial stock dynamics and economics: evaluation of indicators and fishery management for the travelling eastern king prawn (Melicertus plebejus)

Author:

O'Neill Michael F.12,Leigh George M.3,Wang You-Gan4,Braccini J. Matías5,Ives Matthew C.6

Affiliation:

1. Agri-Science Queensland, Department of Agriculture, Fisheries and Forestry, Maroochy Research Facility, PO Box 5083 SCMC, Nambour, Queensland, 4560, Australia

2. School of Geographic Planning and Environmental Management, and Centre for Applications in Natural Resource Mathematics (CARM) in the School of Mathematics and Physics, The University of Queensland, Brisbane, Queensland, 4072, Australia

3. Agri-Science Queensland, Department of Agriculture, Fisheries and Forestry, PO Box 6097, St Lucia, Queensland, 4072, Australia

4. Centre for Applications in Natural Resource Mathematics (CARM) in the School of Mathematics and Physics, The University of Queensland, Brisbane, Queensland, 4072, Australia

5. Department of Fisheries, Fisheries and Marine Research Laboratories, PO Box 20, North Beach, Western Australia, 6920, Australia

6. Department of Primary Industries, Fisheries Research Centre, Cronulla, New South Wales, 2230, Australia

Abstract

Abstract Reduced economic circumstances have moved management goals towards higher profit, rather than maximum sustainable yields in several Australian fisheries. The eastern king prawn is one such fishery, for which we have developed new methodology for stock dynamics, calculation of model-based and data-based reference points and management strategy evaluation. The fishery is notable for the northward movement of prawns in eastern Australian waters, from the State jurisdiction of New South Wales to that of Queensland, as they grow to spawning size, so that vessels fishing in the northern deeper waters harvest more large prawns. Bioeconomic fishing data were standardized for calibrating a length-structured spatial operating model. Model simulations identified that reduced boat numbers and fishing effort could improve profitability while retaining viable fishing in each jurisdiction. Simulations also identified catch rate levels that were effective for monitoring in simple within-year effort-control rules. However, favourable performance of catch rate indicators was achieved only when a meaningful upper limit was placed on total allowed fishing effort. The methods and findings will allow improved measures for monitoring fisheries and inform decision makers on the uncertainty and assumptions affecting economic indicators.

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

Reference51 articles.

1. Agricultural commodity statistics 2011;ABARES (Australian Bureau of Agricultural and Resource Economics and Sciences),2011

2. Commonwealth Fisheries Harvest Strategy: Policy and Guidelines;Australian Government,2007

3. Fishing power and standardized catch rates: implications of missing vessel-characteristic data from the Australian eastern king prawn (Melicertus plebejus) fishery;Braccini;Canadian Journal of Fisheries and Aquatic Sciences,2012

4. Quantifying northward movement rates of eastern king prawns along eastern Australia;Braccini;Marine Biology,2012

5. Spawning stock dynamics of penaeid prawns in southeast Queensland and considerations for preventing recruitment overfishing;Courtney,1997

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