Harvest control rules in modern fisheries management

Kvamsdal, Sturla F.; Eide, Arne; Ekerhovd, Nils-Arne; Enberg, Katja; Gudmundsdóttir, Ásta; Hoel, Alf Håkon; Mills, Katherine E.; Mueter, Franz J.; Ravn-Jonsen, Lars; Sandal, Leif Kristoffer; Stiansen, Jan Erik; Vestergaard, Niels

doi:10.12952/journal.elementa.000114

Cited by 60 publications

(73 citation statements)

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“…One of the main reasons for this discrepancy lies in the political nature of fisheries management, where governance systems are typically highly convoluted (Wilen 2000;Mikalsen and Jentoft 2008;Aanesen and Armstrong 2016). In particular, it is common that science and policy are closely intertwined (Kvamsdal et al 2016). Often, the size of the total allowable catch (TAC) is determined by a scientific body, usually striving for some biological criteria, such as the maximum sustainable yield (MSY) or some other target reference point.…”

Section: Introductionmentioning

confidence: 99%

Optimal Management Under Institutional Constraints: Determining a Total Allowable Catch for Different Fleet Segments in the Northeast Arctic Cod Fishery

Richter

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et al. 2017

Environ Resource Econ

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Many real world fisheries have an individual vessel quota system with restrictions on transferability of quota or entrance of new vessels into the fishery. While the standard economic reasoning is that these institutional constraints lead to welfare losses, the size of those losses and optimal second-best policies are usually unknown. We develop a dynamic bioeconomic model, in which a scientific body provides an optimal TAC given restrictions on (i) transferability between vessel segments and (ii) entrance of new vessels. Further, we also quantify welfare losses arising from not maximizing economic welfare, but physical yield-which is actually the case in many fisheries. We apply the model to the Northeast Arctic cod fishery, and estimate not only the cost and harvesting functions of the various vessel types, but also the parameters of the biological model as well as those of the demand function. This allows us to determine optimal second-best policies and quantify corresponding welfare effects for our case study fishery.

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Section: Introductionmentioning

confidence: 99%

Optimal Management Under Institutional Constraints: Determining a Total Allowable Catch for Different Fleet Segments in the Northeast Arctic Cod Fishery

Richter

Eikeset

Soest

et al. 2017

Environ Resource Econ

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“…According to all these tenets, the new CFP is moving, in line with the current worldwide global trend (García et al, 2003;Pikitch et al, 2004;Link, 2013), toward the ecosystem approach to fisheries management (EAFM). With this new perspective, the CFP wants to avoid past failures of fisheries management based on monospecific assessment models (Jennings and Rice, 2011;Kvamsdal et al, 2016). Contrary to these models, the EAFM focuses on the need to make trade-offs among environmental, social, and economic objectives explicit to all stakeholders and to better inform decision-making (Jennings and Rice, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Contrary to these models, the EAFM focuses on the need to make trade-offs among environmental, social, and economic objectives explicit to all stakeholders and to better inform decision-making (Jennings and Rice, 2011). Within the current framework of the EAFM, harvest strategies and harvest control rules (HCRs) have become an important tool, increasingly adopted to deal with uncertainty and ecosystem considerations, and to relieve management decisions from short-term political pressure (Kvamsdal et al, 2016). A harvest strategy should specify a process for monitoring and conducting assessments of the biological and economic conditions of the fishery as well as HCRs that control the intensity of fishing activity according to those fishery conditions (Dowling et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…A harvest strategy should specify a process for monitoring and conducting assessments of the biological and economic conditions of the fishery as well as HCRs that control the intensity of fishing activity according to those fishery conditions (Dowling et al, 2008). The introduction of HCRs into modern fisheries management has led to a more complex framework and difficult policy choices, but has substantial benefits such as forcing political decisions to forsake short-term gains for longterm objectives (Deroba and Bence, 2008;Punt, 2010;Kvamsdal et al, 2016). There are different definitions, and even many types and configurations, of HCRs (for reviews, see Deroba and Bence, 2008;Punt, 2010;Kvamsdal et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Harvest Strategies for an Ecosystem Approach to Fisheries Management in Western Mediterranean Demersal Fisheries

et al. 2017

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The serious overfishing of most Mediterranean stocks demands urgent reforms of the management measures aiming to guarantee the sustainability of resources, notably when compared with the improvement observed in other European areas. The new EU Common Fisheries Policy (CFP) constitutes an excellent opportunity to introduce the changes needed for such a reform. According to this CFP, all European fish stocks should be brought to a state where they can produce at MSY by 2020 at the latest. The CFP also establishes that the objective of sustainable exploitation should be achieved through multiannual plans (MAPs) adopted in consultation with relevant stakeholders having fisheries management interests such as fishermen, non-governmental organizations, and policy makers. Together with the MSY and MAP approaches, the new CFP contains several other measures, directed to guarantee the ecological and socio-economic sustainability of fisheries by means of the implementation of the ecosystem approach to fisheries management (EAFM). With this new perspective, the CFP wants to avoid past failures of fisheries management based on monospecific approaches. This study is a first step toward the application of the EAFM in the Balearic Islands by means of the development of a harvest strategy with defined objectives, targets, limits, and clear management control rules aimed at optimizing socioeconomic and ecological objectives in the framework of the new CFP. Different management scenarios designed to achieve that goal were modeled for the main demersal commercial fisheries from the study area, the bottom trawl, and small-scale fisheries. The work begins with a general description of those fisheries, their main fishing grounds, and assessments of the exploitation status of the main target stocks in order to establish the current situation. Secondly, alternative management scenarios to maximize catch and profits while considering societal objectives were evaluated by means of bio-economic models. Thirdly, management measures were provided based on the previous modeling and discussions with stakeholders. Finally, a monitoring scheme was outlined to assess the progresses of the proposed management actions. This work is intended to be a working example of co-management (fishers, policy-makers, and scientists) in the Mediterranean in the framework of the new EU CFP.

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“…Consequently, adaptive, and flexible, management is especially needed in cases where uncertainties are large and fast changes can take place [116,125,126]. For Northeast Arctic cod in the Barents Sea, the use of harvest control rules have shown to be a good compromise between stability and flexibility, by providing a pre-agreed mapping from biomass levels to harvesting levels [127,128]. In general, however, little information is still available on how the local level dynamics can emerge into larger scale/level patterns in Arctic systems, and research initiatives that recognize heterogeneity along several different dimensions including, space, time and governance are scarce.…”

Section: Adaptive Management Across Scales To Ensure Blue Growthmentioning

confidence: 99%

Global connectivity and cross-scale interactions create uncertainty for Blue Growth of Arctic fisheries

et al. 2018

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A B S T R A C TThe Arctic faces high expectations of Blue Growth due to future projections of easier access and increased biological productivity. These expectations are, however, often based on global and regional climate change projections and largely ignore the complexity of social-ecological interactions taking place across different temporal and spatial scales. This paper illustrates how such cross-scale interactions at, and across, different dimensions (e.g., ecological, socioeconomic and governance) can affect the development of Arctic fisheries; and potentially create uncertainties for future Blue Growth projections. Two Arctic marine systems, The Barents Sea and the Central Arctic Ocean (CAO), are used as focus areas. The former hosts productive fisheries and is mostly covered by the EEZs of Norway and Russia, while the latter is still mainly covered by sea-ice and is a high seas area with no multilevel governance system in place. The examples show that, both systems are affected by a number of processes, beyond the environmental change, spanning a wide range of dimensions, as well as spatial and temporal scales. To address the complexity of the Arctic marine systems calls for an increase in holistic scientific understanding together with adaptive management practices. This is particularly important in the CAO, where no robust regional management structures are in place. Recognizing how cross-scale dynamics can cause uncertainties to the current fisheries projections and implementing well-functioning adaptive management structures across different Arctic sub-systems can play a key role in whether the Blue Growth potential in Arctic fisheries is realized or lost.

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Harvest control rules in modern fisheries management

Cited by 60 publications

References 100 publications

Optimal Management Under Institutional Constraints: Determining a Total Allowable Catch for Different Fleet Segments in the Northeast Arctic Cod Fishery

Optimal Management Under Institutional Constraints: Determining a Total Allowable Catch for Different Fleet Segments in the Northeast Arctic Cod Fishery

Harvest Strategies for an Ecosystem Approach to Fisheries Management in Western Mediterranean Demersal Fisheries

Global connectivity and cross-scale interactions create uncertainty for Blue Growth of Arctic fisheries

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