A review of harvest policies: Understanding relative performance of control rules

Deroba, Jonathan J.; Bence, James R.

doi:10.1016/j.fishres.2008.01.003

Cited by 142 publications

(130 citation statements)

References 88 publications

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“…The harvest policy should be selected to optimally achieve management objectives, e.g. maximizing yield and minimizing risks of overexploitation and stock recovery time 7 . In the long term, it is generally unfeasible to simultaneously achieve large catches and large stock.…”

Section: Discussionmentioning

confidence: 99%

Management Strategy Evaluation of Fisheries Resources in Data-poor Situations Using an Operating Model Based on a Production Model

Ohshimo¹,

Naya²

2014

JARQ

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The allowable biological catch (ABC) in Japanese fishery management is currently determined by applying harvest control rules, which are categorized into two types depending on whether or not stock-size information is available. We evaluate management procedures (MPs) in data-poor situations using an operating model (OM) based on a production model. The OM incorporates uncertainties regarding its assumptions and the process and observation errors of population dynamics and fishing processes, while the values of the MP parameters are determined to avoid stock collapses and low catches. We evaluated the MP formulationwhere δ is a coefficient dependent on the stock status level on the stock size, C t is the catch in year t, k is the weight coefficient, b reflects the trend in stock abundance index over time, and Iˉ is the mean of the stock abundance index I. This study shows that smaller values of k reduce the frequency of substantially low catches, particularly when there is significant uncertainty surrounding the stock status. In addition, the value of δ affects both the frequency of fishery collapse as well as stock and catch sizes. We conclude that more reliable stock abundance indices are necessary if the stock size and catch are to stabilize and MPs become more robust to uncertainties.

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Section: Discussionmentioning

confidence: 99%

Management Strategy Evaluation of Fisheries Resources in Data-poor Situations Using an Operating Model Based on a Production Model

Ohshimo¹,

Naya²

2014

JARQ

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“…By changing the value of λ we can replicate some of the most widely used rules in real world fisheries (Deroba and Bence [16]). If λ < 0, the HCR generates a negative relationship between fishing mortality and biomass, similar to that of a constant catch rule.…”

Section: Hcrs and The Role Of λmentioning

confidence: 99%

“…However Harvesting Control Rules biomass based continue to be widely used (Daroba [16]). Most of the criticism comes from the additional data and knowledge required to correctly estimate age structure.…”

Section: Introductionmentioning

confidence: 99%

On the Benefits of Including Age-Structure in Harvest Control Rules

Rocha

Mato‐Amboage²

2015

Environ Resource Econ

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This paper explores the benefits of including age-structure in the control rule (HCR) when decision makers regard their (age-structured) models as approximations. We find that introducing age structure into the HCR reduces both the volatility of the spawning biomass and the yield. Although at a fairly imprecise level the benefits are lower, there are still major advantages for actual assessment precision of the case study. Moreover, we find that when age-structure is included in the HCR the relative ranking of different policies in terms of variance in biomass and yield does not differ. These results are shown both theoretically and numerically by applying the model to the Southern Hake fishery.

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“…Simulation testing of fishery management strategies is widely considered to be good practice to ensure robustness to uncertainty (Deroba and Bence, 2008;2012;Zhang et al, 2011;Wiedenmann et al, 2013;Punt et al, 2014). However, there has only been limited testing of management strategies on Canadian fish stocks (e.g.…”

Section: Introductionmentioning

confidence: 99%

Initial tests of the robustness of the provisional harvest control rule in Canada’s Sustainable Fisheries Policy to process and measurement errors using simulated depleted fish populations

Shelton¹

2017

J. Northw. Atl. Fish. Sci.

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(PHCR) is proposed in the DMF to allow adjustments of the annual total allowable catch based on a scientific assessment of the state of the stock. The DMF defines three spawning stock biomass Zones (Critical, Cautious and Healthy). The PHCR adjusts fishing mortality dependent on the Zone within which the spawning stock biomass is estimated to fall. Elements of the PHCR have been incorporated in the scientific advice and management approaches for a number of Canadian fish stocks. In this study, initial evaluation of the PHCR was carried out on three simulated depleted fish populations with different life histories under a variety of combinations of process error on recruitment and measurement error on spawning stock biomass. The simulations represent "bestcase" scenarios because reference points were assumed to be known exactly and the magnitude of the errors was moderate. The simulation results suggested that fish stocks in the Critical Zone should rebuild to the Healthy Zone under the PHCR with high probability (>0.78) irrespective of life history differences and the combinations of process and observations errors. However, the time to rebuild was up to twice as long as it took in the absence of fishing and the PHCR was not effective in ensuring the DMF requirement of a low probability (<0.1) of the population returning to the Cautious Zone. The PHCR was also not effective in keeping fishing mortality below the level that generates maximum sustainable yield when the stock was in the Cautious Zone and subject to measurement error. Variation in the annual catch generated by the PHCR in the simulations increased with increasing process and observation errors to a maximum CV of 0.6, which may be inconsistent with the fishing industry's desire for low variation in annual catch.

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A review of harvest policies: Understanding relative performance of control rules

Cited by 142 publications

References 88 publications

Management Strategy Evaluation of Fisheries Resources in Data-poor Situations Using an Operating Model Based on a Production Model

Management Strategy Evaluation of Fisheries Resources in Data-poor Situations Using an Operating Model Based on a Production Model

On the Benefits of Including Age-Structure in Harvest Control Rules

Initial tests of the robustness of the provisional harvest control rule in Canada’s Sustainable Fisheries Policy to process and measurement errors using simulated depleted fish populations

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