scholarly journals APLIKASI FEEDBACK HARVEST CONTROL RULE SEBAGAI ALTERNATIF ATURAN KENDALI TANGKAP PERIKANAN LAYANG (Decapterus sp) DI PRIGI, TRENGGALEK

2021 ◽  
Vol 5 (3) ◽  
pp. 531-538
Author(s):  
Ledhyane Harlan
2015 ◽  
Vol 17 (3) ◽  
pp. 731-747 ◽  
Author(s):  
Catherine M Dichmont ◽  
André E Punt ◽  
Natalie Dowling ◽  
José A A De Oliveira ◽  
Lorne R Little ◽  
...  

2018 ◽  
Vol 94 (3) ◽  
pp. 1095-1120 ◽  
Author(s):  
Éva Plagányi ◽  
Roy Aijun Deng ◽  
Robert A Campbell ◽  
Darren Dennis ◽  
Trevor Hutton ◽  
...  

Author(s):  
Dorleta Garcia ◽  
Paul J Dolder ◽  
Ane Iriondo ◽  
Claire Moore ◽  
Raúl Prellezo ◽  
...  

Abstract Advice for commercially exploited fish stocks is usually given on a stock-by-stock basis. In light of the ecosystem-based fisheries management, the need to move towards a holistic approach has been largely acknowledged. In addition, the discard bans in some countries requires consistent catch advice among stocks to mitigate choke species limiting fisheries activity. In this context, in 2015, the European Commission proposed the use of fishing mortality ranges around fishing mortality targets to give flexibility to the catch advice system and improve the use of fishing opportunities in mixed-fisheries. We present a multi-stock harvest control rule (HCR) that uses single stock assessment results and fishing mortality ranges to generate a consistent catch advice among stocks. We tested the performance of the HCR in two different case studies. An artificial case study with three stocks exploited simultaneously by a single fleet and the demersal mixed-fishery operating in Bay of Biscay and Celtic Sea. The HCR produced consistent catch advice among stocks when there was only a single fleet exploiting them. Even more, the HCR removed the impact of the discard ban. However, in a multi-fleet framework the performance of the HCR varied depending on the characteristics of the fleets.


Author(s):  
Tatsunori Yagi ◽  
Takashi Yamakawa

Abstract To determine the optimal shape of the harvest control rule (HCR) achieving common fisheries management objectives (maximizing the average catch, reducing the deviation of yields, and avoiding stock collapse) and ensure robustness to observation errors, we estimate the optimal values of biological reference points (BRPs) composing the HCR. While traditional HCRs usually consist of three BRPs based on the fishing mortality coefficient (F3-HCR), we introduce an alternative HCR defined by 21 BRPs based on the catch levels (C21-HCR) to cover various possible shapes of HCR including smooth ones. We compare the shape and the performance between the optimal C21-HCR and the optimal F3-HCR and conclude that the optimal HCR can be composed of the gradual combination of the basic strategies: the constant escapement strategy, the constant harvest rate (CHR) strategy, and the constant catch strategy. However, the current F3-HCR does not necessarily allow this combination and generally returns lower performance levels than the optimal C21-HCR (since the basic strategy is confined to CHR) excluding the range of low biomass. This result will provide a clear perspective to improve HCR according to the magnitude of assessment errors and to compromise multiple fisheries management objectives when various stakeholders are involved.


2016 ◽  
Vol 337 ◽  
pp. 79-95 ◽  
Author(s):  
André E. Punt ◽  
Alec D. MacCall ◽  
Timothy E. Essington ◽  
Tessa B. Francis ◽  
Felipe Hurtado-Ferro ◽  
...  

2016 ◽  
Vol 73 (3) ◽  
pp. 366-381 ◽  
Author(s):  
Deepak George Pazhayamadom ◽  
Ciarán J. Kelly ◽  
Emer Rogan ◽  
Edward A. Codling

We demonstrate a harvest control rule based on the self-starting cumulative sum (SS-CUSUM) control chart that can maintain a fish stock at its starting (status-quo) level. The SS-CUSUM is an indicator monitoring tool commonly used in quality control engineering and does not require a long time series or predefined reference point for detecting temporal trends. The reference points in SS-CUSUM are calibrated in the form of running means that are updated on an ongoing basis when new observations become available. The SS-CUSUM can be initiated with as few as two observations in the time series and can be applied long before many other methods, soon after initial data become available. A wide range of stock indicators can be monitored, but in this study, we demonstrate the method using an equally weighted sum of two indicators: a recruitment indicator and a large fish indicator from a simulated fishery. We assume that no life history data are available other than 2 years of both indicator data and current harvest levels when the SS-CUSUM initiates. The signals generated from SS-CUSUM trigger a harvest control rule (SS-CUSUM-HCR), where the shift that occurs in the indicator time series is computed and is used as an adjustment factor for updating the total allowable catch. Our study shows that the SS-CUSUM-HCR can maintain the fish stock at its starting status-quo level (even for overfished initial states) but has limited scope if the fishery is already in an undesirable state such as a stock collapse. We discuss how the SS-CUSUM approach could be adapted to move beyond a status-quo management strategy, if additional information on the desirable state of the fishery is available.


2020 ◽  
Author(s):  
Hiroshi Okamura ◽  
Momoko Ichinokawa ◽  
Ray Hilborn

AbstractFisheries management in Japan is currently at a turning point. MSY based reference points have historically been rejected because of impacts on the fishing industry that would result from their adoption. We propose and evaluate a new harvest control rule (HCR) that uses the biological reference points based on sustainable yield from the stochastic hockey-stick stock recruitment relationship. Management strategy evaluation simulations conditioned on data from Japanese stocks demonstrate that the new HCR avoided recruitment overfishing while providing stable and near maximum catch. The new HCR outperformed Japan’s traditional HCR in terms of conservation, and it outperformed an alternative HCR which is widely used around the world in terms of initial catch reduction and future catch variation. For forecasting and hindcasting simulations, the new HCR showed considerable improvements over traditional HCRs in terms of biomass and catch. This new management procedure can improve the current and future status of many overfished stocks in Japan as well as increase economic efficiency and better protect ecosystems.


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