Economic effort management in multispecies fisheries: the FcubEcon model

Hoff, Ayoe; Frost, Hans; Ulrich, Clara; Damalas, Dimitrios; Maravelias, Christos D.; Goti, Leyre; Santurtún, Marina

doi:10.1093/icesjms/fsq076

Cited by 28 publications

(31 citation statements)

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“…Garcia, Santurtun, Prellezo, Sanchez, & Andres, 2012;Garcia, Urtizberra, Diez, Gil, & Marchal, 2013;García, Prellezo, et al, 2016;García, Sanchez, Prellezo, Urtizberea, Andres 2016;Jardim et al, 2013;Prellezo et al, 2016. 26 FCUBE ICES 2006, 2014aHoff et al, 2010;Ulrich et al, 2011Ulrich et al, , 2017Iriondo et al, 2012;Maravelias, Damalas, Ulrich, Katsanevakis, & Hoff, 2012;Jardim et al, 2013;EU STECF, 2015b;ICES 2015c,d. 27 GBFWCGE Seung 2006Steele et al, 2007;Pan, Failler, & Floros, 2007;.…”

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Integrated ecological–economic fisheries models—Evaluation, review and challenges for implementation

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Marine ecosystems evolve under many interconnected and area-specific pressures. To fulfil society's intensifying and diversifying needs while ensuring ecologically sustainable development, more effective marine spatial planning and broader-scope management of marine resources is necessary. Integrated ecological-economic fisheries models (IEEFMs) of marine systems are needed to evaluate impacts and sustainability of potential management actions and understand, and anticipate ecological, economic and social dynamics at a range of scales from local to national and regional. To make these models most effective, it is important to determine how model characteristics and methods of communicating results influence the model implementation, the nature of the advice that can be provided and the impact on decisions taken by managers. This article presents a global review and comparative evaluation of 35 IEEFMs applied to marine fisheries and marine ecosystem resources to identify the characteristics that determine their usefulness, effectiveness and implementation. The focus is on fully integrated models that allow for feedbacks between ecological and human processes although not all the models reviewed achieve that. Modellers must invest more time to make models user friendly and to participate in management fora where models and model results can be explained and discussed. Such involvement is beneficial to all parties, leading to improvement of models and more effective implementation of advice, but demands substantial resources which must be built into the governance process. It takes time to develop effective processes for using IEEFMs requiring a long-term commitment to integrating multidisciplinary modelling advice into management decision-making. K E Y W O R D Sbio-economic models, comparative model evaluation, fisheries management advice, integrated ecological-economic fisheries models, marine spatial planning and cross-sector management, performance criteria and scales and risks, use and acceptance and implementation and communication and flexibility and complexity | INTRODUCTIONThere is a growing need for tools to evaluate policies and assess tradeoffs in management of marine resources and provision of ecosystem services such as fishing, aquaculture, renewable energy, shipping, conservation and recreation (Cormier, Kannen, Elliott, & Hall, 2015;Degnbol & Wilson, 2008;EU 2014;Langlois, Fréon, Steyer, Delgenés, & Hélias, 2014;White et al., 2012). It is necessary to elaborate and apply common principles and broader, interdisciplinary management evaluation in the use of marine space involving several types of activities and sectors Soma et al., 2013;Stelzenmüller et al., 2013;Sundblad et al., 2014). Policymakers need to know the costs and benefits of conserving ecosystem goods and services to manage them sustainably. Moreover, according to an ecosystembased approach to management, specific pressures, associated uncertainties and risks need to be taken into account (Douvere, 2008;Ehler & Douvere, 2009;Gi...

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Integrated ecological–economic fisheries models—Evaluation, review and challenges for implementation

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“…The models applied in the present context are based on the FcubEcon bioeconomic model (Hoff et al, 2010) and include an economic assessment of each fleet as well as the optimisation of effort allocation between fleets and fisheries as a series of scenarios. The economic assessment determines the economic outcomes for the fisheries given various pre-set effort allocation scenarios between the fleets and metiers and based on the same catch compositions as in the base period.…”

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confidence: 99%

“…Here, E 0 f,n,k is the effort used by metier n in fleet f to catch the species belonging to group k in the base period, and E targ t,f,n,k,s is the effort needed in year t for metier n in fleet f to catch species s belonging to catch group k. Thus, individual target efforts are assigned to each species within group k. The metier catches the species within a group jointly, using only one effort, which leads to the well-known problem of non-compatible efforts in multi-species fisheries managed by single species quotas (Hoff et al, 2010;Pascoe et al, 2007;Vinther et al, 2004). It is therefore interesting to show the economic outcome of the different effort choice scenarios.…”

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confidence: 99%

Linking effort and fishing mortality in a mixed fisheries model: Comparing linear versus non-linear assumptions

2012

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a b s t r a c tSince the implementation of the Common Fisheries Policy of the European Union in 1983, the management of EU fisheries has been enormously challenging. The abundance of many fish stocks has declined because too much fishing capacity has been utilised on healthy fish stocks. Today, this decline in fish stocks has led to overcapacity in many fisheries, leading to incentives for overfishing. Recent research has shown that the allocation of effort among fleets can play an important role in mitigating overfishing when the targeting covers a range of species (multi-species-i.e., so-called mixed fisheries), while simultaneously optimising the overall economic performance of the fleets. The so-called FcubEcon model, in particular, has elucidated both the biologically and economically optimal method for allocating catches-and thus effort-between fishing fleets, while ensuring that the quotas are not exceeded. Until now, the FcubEcon modelling approach has assumed that there is a simplified linear relationship between effort and fishing mortality. The present study introduces an extension of the FcubEcon model, the so-called SOMER model, that allows this relationship to be non-linear by linking the biological catch equation with the economic production function. Furthermore, the SOMER model relaxes the assumption of the joint production of fishing metiers, unique and separately defined sub-fleets, to allow for more detail regarding the flexibility to target specific groups of species. Thereby, the SOMER model enables the managers to assess the alternative management scenarios more accurately than the existing models.

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“…The most common approach, single species management in multispecies fisheries, ignores the ecological relationships among species as well as the technological and economic relationships (Kasperski, 2010). This may lead to misleading results and incorrect policy decisions causing an over or under exploitation of the stocks (Fleming & Alexander, 2003;Hoff et al, 2010).…”

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confidence: 99%

Stochastic Optimization for Multispecies Fisheries in the Barents Sea

Poudel

Sandal

2014

SSRN Journal

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This study presents a multispecies stochastic model. The model suggests optimal fishing policy for two species in a three species predator prey ecosystem in the Barents Sea. We have employed stochastic dynamic programing to solve a three dimensional model, where catch is optimized by a multispecies feedback strategy. Application of the model in cod, capelin and herring ecosystem in the Barents Sea shows that the optimal catch for stochastic interaction model is more conservative compared to deterministic policy. Furthermore, we found that stochasticity has strong effect on optimal exploitation policy in the prey (capelin) compared to the predator (cod) species.

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Economic effort management in multispecies fisheries: the FcubEcon model

Cited by 28 publications

References 5 publications

Integrated ecological–economic fisheries models—Evaluation, review and challenges for implementation

Integrated ecological–economic fisheries models—Evaluation, review and challenges for implementation

Linking effort and fishing mortality in a mixed fisheries model: Comparing linear versus non-linear assumptions

Stochastic Optimization for Multispecies Fisheries in the Barents Sea

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