Selectivity, Pulse Fishing and Endogenous Lifespan in Beverton-Holt Models

Rocha, José María Da; Gutiérrez, María-José; Antelo, Luís T.

doi:10.1007/s10640-012-9585-z

Cited by 23 publications

(21 citation statements)

References 26 publications

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“…Da Rocha & Gutiérrez, 2011;Da-Rocha & Pujolas, 2011;Da Rocha & Mato-Amboage, 2016;Da Rocha & Sempere, 2016;Da Rocha, Cerviño, & Gutiérrez, 2010;Da Rocha, Gutiérrez, Cerviño, & Antelo, 2012;Da Rocha, Gutiérrez, & Antelo, 2013;Da Rocha, Gutiérrez, Garcia-Cutrin, & Jardim, 2015;Da Rocha, Gutiérrez, Garcia-Cutrin, & Touza, 2016;Da Rocha, Gutiérrez, Garcia-Cutrin, & Jardim, 2017;Arnason, 2002;Weninger and Just, 2002;Heaps, 2003;Weninger and Waters, 2003;Weninger, 2008;Kitts et al, 2011. 11 DISPLACE Bastardie, Nielsen, Andersen, & Eigaard, 2010Bastardie et al, 2013Bastardie et al, , 2014Bastardie, Nielsen, Eigaard, et al, 2015;Bastardie, Nielsen, Eero, Fuga, & Rindorf, 2017;Nielsen, Kristensen, Lewy, & Bastardie, 2014;www.…”

Section: Stoch Hcr (Itq Wealth)mentioning

confidence: 99%

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

et al. 2017

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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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Section: Stoch Hcr (Itq Wealth)mentioning

confidence: 99%

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

et al. 2017

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“…For age-structured models, Da Rocha et al (2012c) show numerically that pulses are not longer a viable optimal solution by maximizing the logarithm of the catches instead of just the catches. This result is reinforced in Da Rocha et al (2013) where it is shown analytically that the concavity properties of the management objective function are essential to remove optimal pulse fishing under imperfect selectivity. In the context of schooling fisheries, Tavhonen et al (2013) also show that using nonlinear harvesting costs that guarantee the concavity of the manager's objective function generates smooth optimal paths toward the steady state.…”

Section: Introductionmentioning

confidence: 95%

Reconciling yield stability with international fisheries agencies precautionary preferences: The role of non constant discount factors in age structured models

et al. 2016

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Summary:International fisheries agencies recommend exploitation paths that satisfy two features. First, for precautionary reasons exploitation paths should avoid high fishing mortality in those fisheries where the biomass is depleted to a degree that jeopardise the stock's capacity to produce the Maximum Sustainable Yield (MSY). Second, for economic and social reasons, captures should be as stable (smooth) as possible over time. In this article we show that a conflict between these two interests may occur when seeking for optimal exploitation paths using age structured bioeconomic approach. Our results show that this conflict be overtaken by using non constant discount factors that value future stocks considering their relative intertemporal scarcity.

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“…As mentioned in the introduction, while there have been some advances in the introduction of biological structure in bioeconomic models ( [33], [15]), there is still much need for further understanding about the implications of using biomass-based models in age structured populations. The aim of this section is to evaluate the impact of applying a heuristic harvesting control rule to a structured population.…”

Section: Stochastic Properties Of Heuristic Hcrmentioning

confidence: 99%

“…Target Points and Yield: Setting all periods F = F max it can be the case that we are not maximizing the yield ( [15]). In particular, Da Rocha et al [15] show that F max is not the optimal solution to maximization problem whenever the following inequality holds…”

Section: Hcr Reference Points and Riskmentioning

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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Selectivity, Pulse Fishing and Endogenous Lifespan in Beverton-Holt Models

Cited by 23 publications

References 26 publications

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

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

Reconciling yield stability with international fisheries agencies precautionary preferences: The role of non constant discount factors in age structured models

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

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