From input to output controls in a short-lived species: the case of Australia's Northern Prawn Fishery

2012 ◽  
Vol 63 (8) ◽  
pp. 727 ◽  
Author(s):  
Catherine M. Dichmont ◽  
Roy A. Deng ◽  
André E. Punt ◽  
William N. Venables ◽  
Trevor Hutton

A management strategy evaluation (MSE) framework is developed to evaluate strategies that provide total allowable catches (TACs) when the target biomass corresponds to maximum economic yield (MEY). The framework is applied to Australia’s Northern Prawn Fishery (NPF), which has been actively managed using a tradable input-control system, but is to move to output controls based on individual transferable quotas (ITQs), with a consequence that the current management strategy needs to be replaced. Because the fleet is small, it is possible to set a TAC that cannot be taken entirely. Whereas input controls tend to self-adjust if recruitment is not accurately predicted, and consequently catch variability tends to be low, this is not the case for the reasonably variable species caught in the NPF when they are managed using TACs. The management strategy recovered the simulated stock to the target reference point when it was initially depleted, and avoided dropping the stock below the limit reference point (LRP) for five scenarios based on the current best understanding of resource status; however, in some cases, the stock was left above the target biomass because of biases in the assessment. A scenario in which the stock was forced to be initially depleted to below the limit reference point showed that the management strategy allows recovery.

2016 ◽  
Vol 74 (3) ◽  
pp. 670-686 ◽  
Author(s):  
Catherine M. Dichmont ◽  
Elizabeth A. Fulton ◽  
Rebecca Gorton ◽  
Miriana Sporcic ◽  
L. Richard Little ◽  
...  

Harvest strategies (HSs) have been applied to many data-rich fisheries, and are now increasingly being applied in data-limited situations. These have been evaluated using simulation frameworks, including management strategy evaluation (MSE), but few studies have considered the full spectrum from data-rich to data-limited strategies, in the context of the risk-cost-catch trade-off. This involves evaluating whether the cost of implementing a HS, the risk to the resource and catch taken from the resource have been appropriately balanced, given the value of the resource. HSs implemented for Australian Commonwealth fisheries were placed in eight tiers, ranging from data-rich to data-limited, and their performance evaluated using an MSE based on a full end-to-end ecosystem model. Generally, the risk to the resource increased as fewer data were available, due to biases in the assessments and slow response times to unexpected declines in resource status. The most data-rich tiers maximize discounted catches and profits over a 45-year projection period. However, the opportunity costs response is variable, and shows that the benefit of short-term high catches have to be compensated by resource recovery in the long term. On average, more data leads to improved management in terms of risk of being overfished and not reaching a target, but this requires lower initial catches to recover the resources and lower short-term discounted profits.


2021 ◽  
Author(s):  
Margaret C. Siple ◽  
Laura E. Koehn ◽  
Kelli F. Johnson ◽  
André E. Punt ◽  
T. Mariella Canales ◽  
...  

2013 ◽  
Vol 26 (4) ◽  
pp. 365-379 ◽  
Author(s):  
Dorleta Garcia ◽  
Agurtzane Urtizberea ◽  
Guzman Diez ◽  
Juan Gil ◽  
Paul Marchal

2019 ◽  
Vol 76 (9) ◽  
pp. 1653-1668 ◽  
Author(s):  
T.R. Carruthers ◽  
A.R. Hordyk

A new indicator is described that uses multivariate posterior predictive data arising from management strategy evaluation (MSE) to detect operating model misspecification (exceptional circumstances) due to changing system dynamics. The statistical power of the indicator was calculated for five case studies for which fishery stock assessments have estimated changes in recruitment, natural mortality rate, growth, fishing efficiency, and size selectivity. The importance of the component data types that inform the indicator was also calculated. The indicator was tested for multiple types of management procedures (e.g., catch limits by stock assessment, size limits, spatial closures) given varying qualities of data. The statistical power of the indicator could be high even over short time periods and depended on the type of system change and quality of data. Statistical power depended strongly on the type of management approach, suggesting that indicators should be established that rigorously account for feedbacks between proposed management and observed data. MSE processes should use alternative operating models to evaluate protocols for exceptional circumstances to ensure they are of acceptable statistical power.


HPB ◽  
2020 ◽  
Vol 22 ◽  
pp. S285
Author(s):  
O.N. Dilek ◽  
A. Atasever ◽  
N. Acar ◽  
S. Karasu ◽  
E.O. Gür ◽  
...  

2019 ◽  
Vol 217 ◽  
pp. 198-216 ◽  
Author(s):  
M.A. Haltuch ◽  
E.N Brooks ◽  
J. Brodziak ◽  
J.A. Devine ◽  
K.F. Johnson ◽  
...  

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