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  • 1
    In: ICES Journal of Marine Science, Oxford University Press (OUP), Vol. 67, No. 3 ( 2010-04-01), p. 567-574
    Abstract: Butterworth, D. S., Bentley, N., De Oliveira, J. A. A., Donovan, G. P., Kell, L. T., Parma, A. M., Punt, A. E., Sainsbury, K. J., Smith, A. D. M., and Stokes, T. K. 2010. Purported flaws in management strategy evaluation: basic problems or misinterpretations? – ICES Journal of Marine Science, 67: 567–574. Rochet and Rice, while recognizing management strategy evaluation (MSE) as an important step forward in fisheries management, level a number of criticisms at its implementation. Some of their points are sound, such as the need for care in representing uncertainties and for thorough documentation of the process. However, others evidence important misunderstandings. Although the difficulties in estimating tail probabilities and risks, as discussed by Rochet and Rice, are well known, their arguments that Efron's non-parametric bootstrap re-sampling method underestimates the probabilities of low values are flawed. In any case, though, the focus of MSEs is primarily on comparing performance and robustness across alternative management procedures (MPs), rather than on estimating absolute levels of risk. Qualitative methods can augment MSE, but their limitations also need to be recognized. Intelligence certainly needs to play a role in fisheries management, but not at the level of tinkering in the provision of annual advice, which Rochet and Rice apparently advocate, inter alia because this runs the risk of advice following noise rather than signal. Instead, intelligence should come into play in the exercise of oversight through the process of multiannual reviews of MSE and associated MPs. A number of examples are given of the process of interaction with stakeholders which should characterize MSE.
    Type of Medium: Online Resource
    ISSN: 1095-9289 , 1054-3139
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2010
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  • 2
    Online Resource
    Online Resource
    Wiley ; 2009
    In:  Marine and Coastal Fisheries Vol. 1, No. 1 ( 2009-01), p. 391-401
    In: Marine and Coastal Fisheries, Wiley, Vol. 1, No. 1 ( 2009-01), p. 391-401
    Abstract: We contrast two paradigms for fisheries management decision making: the “assessment” paradigm, which is based around stock assessments, and the “procedural” paradigm, which is based around management procedures. The assessment paradigm has difficulty in providing management for data‐poor stocks, and we illustrate this in the New Zealand context. In contrast, the procedural paradigm has the potential to be useful for the data‐poor stocks. However, to date, it has not served data‐poor fisheries well because most of the development of management procedures has been for high‐value, data‐rich stocks. This may be because several aspects of the procedural paradigm are misunderstood or neglected. Giving appropriate attention to these aspects will improve the application of fisheries management procedures, particularly for data‐poor stocks. For example, more attention needs to be given to the method for presenting evaluation results to decision makers in ways that more easily allow them to make trade‐offs among multiple management objectives. We also argue that the design, evaluation, and selection of management procedures should be treated as an exercise in engineering, particularly by applying generic solutions to data‐poor cases for which specific solutions are usually not readily developed.
    Type of Medium: Online Resource
    ISSN: 1942-5120 , 1942-5120
    Language: English
    Publisher: Wiley
    Publication Date: 2009
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  • 3
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2015
    In:  ICES Journal of Marine Science Vol. 72, No. 1 ( 2015-01-01), p. 186-193
    In: ICES Journal of Marine Science, Oxford University Press (OUP), Vol. 72, No. 1 ( 2015-01-01), p. 186-193
    Abstract: The increasingly sophisticated methods developed for stock assessment are not always suited to data-poor fisheries. Data-poor fisheries are often low in value, so the researcher time available for their assessment is also small. The dual constraints of reduced data and reduced time make stock assessments for low-value stocks particularly challenging. Prior probability distributions are useful for transferring knowledge from data-rich to data-poor fisheries. When data are limited, it is important to make the most of what few data is available. However, fully understanding potential biases in data are just as important in the data-poor context as it is in data-rich fisheries. A key aspect of stock assessment is peer review. Providing a comprehensive, yet concise, set of diagnostics is crucial to a stock assessment where time is limited. Against the standards by which data-rich stock assessments are judged, stock assessments for data-poor stocks are likely to be found deficient. A key challenge is to maintain a balance between the opposing risks of inappropriate management “action” due to assessment inaccuracy, and inappropriate management “inaction” due to assessment uncertainty.
    Type of Medium: Online Resource
    ISSN: 1095-9289 , 1054-3139
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2015
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  • 4
    Online Resource
    Online Resource
    Canadian Science Publishing ; 2012
    In:  Canadian Journal of Fisheries and Aquatic Sciences Vol. 69, No. 1 ( 2012-01), p. 161-177
    In: Canadian Journal of Fisheries and Aquatic Sciences, Canadian Science Publishing, Vol. 69, No. 1 ( 2012-01), p. 161-177
    Abstract: We describe a sequential estimation approach designed to be used as part of a fisheries management procedure; it is computationally efficient and able to be applied to varying types, and extents, of data. The estimator maintains a pool of stock trajectories, each having a unique combination of model parameters (e.g., stock–recruitment steepness) sampled from prior probability distributions. Each year, for each trajectory, the values of variables (e.g., current biomass) are updated and tested against specified constraints. Constraints further determine the feasibility of the trajectories by defining likelihood functions for model variables, or combinations of variables, in particular years. Trajectories that fail to meet one or more of the constraints are discarded from the pool and replaced by new trajectories. Each year, stochastic forward projections of the trajectories in the pool are used to determine an optimal catch level. The flexibility and accuracy of the estimator is evaluated using the fishery for snapper, Pagrus auratus , off northern New Zealand as a case study. The sequential nature of the algorithm suggests alternative methods of presentation for understanding and explaining the fisheries estimation process. We provide recommendations for both the evaluation and operation of management procedures that employ the estimator.
    Type of Medium: Online Resource
    ISSN: 0706-652X , 1205-7533
    Language: English
    Publisher: Canadian Science Publishing
    Publication Date: 2012
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  • 5
    In: Fisheries Research, Elsevier BV, Vol. 183 ( 2016-11), p. 530-538
    Type of Medium: Online Resource
    ISSN: 0165-7836
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
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  • 6
    In: Reviews in Fish Biology and Fisheries, Springer Science and Business Media LLC, Vol. 22, No. 2 ( 2012-6), p. 527-531
    Type of Medium: Online Resource
    ISSN: 0960-3166 , 1573-5184
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2012
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    detail.hit.zdb_id: 1498719-3
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  • 7
    Online Resource
    Online Resource
    Canadian Science Publishing ; 2005
    In:  Canadian Journal of Fisheries and Aquatic Sciences Vol. 62, No. 7 ( 2005-07-01), p. 1553-1569
    In: Canadian Journal of Fisheries and Aquatic Sciences, Canadian Science Publishing, Vol. 62, No. 7 ( 2005-07-01), p. 1553-1569
    Abstract: We evaluated alternative management strategies for the Otago and Southland rock lobster (Jasus edwardsii) fisheries in New Zealand. We compare a number of decision-rule-based management strategies and assess amalgamation of the two separate quota management areas that currently comprise the fishery. The analysis combines a spatial sex- and length-structured simulation model of the fishery with an economic module that converts catches and effort into revenues and costs. We compare performance of alternative management strategies using a variety of biological and economic performance indicators relevant to a range of management objectives identified by stakeholders. The results demonstrate the importance of modelling economic performance, since the relative performance of different management strategies differ when considering catch versus net revenues. The analysis also reveals important distributional issues, since some strategies that increase the overall value of the fishery create both winners and losers.
    Type of Medium: Online Resource
    ISSN: 0706-652X , 1205-7533
    Language: English
    Publisher: Canadian Science Publishing
    Publication Date: 2005
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    detail.hit.zdb_id: 1473089-3
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  • 8
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2012
    In:  ICES Journal of Marine Science Vol. 69, No. 1 ( 2012-01-01), p. 84-88
    In: ICES Journal of Marine Science, Oxford University Press (OUP), Vol. 69, No. 1 ( 2012-01-01), p. 84-88
    Abstract: Bentley, N., Kendrick, T. H., Starr, P. J., and Breen, P. A. 2012. Influence plots and metrics: tools for better understanding fisheries catch-per-unit-effort standardizations. – ICES Journal of Marine Science, 69: 84–88. Standardization of catch per unit effort using generalized linear models (GLMs) is a common procedure that attempts to remove the confounding effects of variables other than abundance. Simple plots and metrics are described to assist understanding the standardization effects of explanatory variables included in GLMs, illustrated with an example based on New Zealand trevally (Caranx lutescens) data.
    Type of Medium: Online Resource
    ISSN: 1095-9289 , 1054-3139
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2012
    detail.hit.zdb_id: 2463178-4
    detail.hit.zdb_id: 1468003-8
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    SSG: 12
    SSG: 21,3
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  • 9
    Online Resource
    Online Resource
    Wiley ; 2009
    In:  Marine and Coastal Fisheries Vol. 1, No. 1 ( 2009-01), p. 378-390
    In: Marine and Coastal Fisheries, Wiley, Vol. 1, No. 1 ( 2009-01), p. 378-390
    Abstract: The data‐poor status of a fishery usually occurs because the fishery is low in value and as such has the lowest priority for funding. However, there is often no formal evaluation of the cost of data collection versus the benefits it brings. In this article, we describe how the costs and benefits of data collection can be evaluated within the context of fisheries management procedures. Based on a data‐poor fishery in New Zealand, we illustrate how to evaluate the utility associated with simple management procedures that incorporate no monitoring, fixed monitoring, or adaptive monitoring. We demonstrate that it is feasible to do formal evaluations of alternative data collection regimes by including their costs in a utility function that incorporates other performance measures. Our particular example demonstrates the potential benefits of monitoring even in low‐value fisheries and shows, in principle, the gains that can be made through the use of management procedures that include adaptive monitoring.
    Type of Medium: Online Resource
    ISSN: 1942-5120 , 1942-5120
    Language: English
    Publisher: Wiley
    Publication Date: 2009
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  • 10
    Online Resource
    Online Resource
    Informa UK Limited ; 2005
    In:  New Zealand Journal of Marine and Freshwater Research Vol. 39, No. 3 ( 2005-06), p. 629-644
    In: New Zealand Journal of Marine and Freshwater Research, Informa UK Limited, Vol. 39, No. 3 ( 2005-06), p. 629-644
    Type of Medium: Online Resource
    ISSN: 0028-8330 , 1175-8805
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2005
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