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

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Abstract

Optimal management in a multi-cohort Beverton-Holt model with any number of age classes and imperfect selectivity is equivalent to finding the optimal fish lifespan by chosen fallow cycles. Optimal policy differs in two main ways from the optimal lifespan rule with perfect selectivity. First, weight gain is valued in terms of the whole population structure. Second, the cost of waiting is the interest rate adjusted for the increase in the pulse length. This point is especially relevant for assessing the role of selectivity. Imperfect selectivity reduces the optimal lifespan and the optimal pulse length. We illustrate our theoretical findings with a numerical example. Results obtained using global numerical methods select the optimal pulse length predicted by the optimal lifespan rule.

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References

  • Baranov FI (1918) On the question of the biological basis of fisheries. Institute for Scientific Ichthyological Investigations, Proceedings, vol 1, no 1, pp 81–128

  • Bjørndal T, Brasão A (2006) The East Atlantic Bluefin Tuna fisheries: stock collapse or recovery?. Marin Resour Econ 21: 193–210

    Google Scholar 

  • Bjørndal T, Gordon D, Kaitala V, Lindroos M (2004) International management strategies for a straddling fish stock: a bio-economic simulation model of the norwegian spring-spawning herring fishery. Environ Resour Econ 29: 435–457

    Article  Google Scholar 

  • Bjørndal T, Ussif A, Sumaila R (2004) A bioeconomic analysis of the Norwegian spring spawning herring (NSSH) stock. Marin Resour Econ 19: 353–365

    Google Scholar 

  • Clark CW, Edwards G, Friedlaender M (1973) The Beverton-Holt model of commercial fisheries: optimal dynamics. J Fish Res Board Can 30: 40–1629

    Article  Google Scholar 

  • Council Regulation (EC) No 811/2004 of 21 April 2004 Establishing measures for the recovery of the Northern Hake Stock

  • Da Rocha JM, Cerviño S, Gutiérrez MJ (2010) An Endogenous bio-economic optimization algorithm to evaluate recovery plans: an application to southern Hake. ICES J Mar Sci 67(9): 1957–1962

    Article  Google Scholar 

  • Da Rocha JM, Gutiérrez MJ (2011) Lessons from the long-term management plan for Northern Hake stock: could the economic assessment have accepted it?. ICES J Mar Sci 68(9): 1937–1941

    Article  Google Scholar 

  • Da Rocha JM, Gutiérrez MJ, Antelo LT (2012) Pulse vs optimal stationary fishing: The Northern stock of Hake. Fish Res 121–122: 51–62

    Article  Google Scholar 

  • Dawid H, Kopel M (1997) On the economically optimal exploitation of a renewable resource: the case of a convex environment and a convex return function. J Econ Theory 76: 272–297

    Article  Google Scholar 

  • Dawid H, Kopel M (1999) On optimal cycles in dynamic programming models with convex return function. Econ Theory 13: 309–327

    Article  Google Scholar 

  • Dichmont CM, Pascoe S, Kompas T, Punt AE, Deng R (2010) On implementing maximum economic yield in commercial fisheries. PNAS 107: 16–21

    Article  Google Scholar 

  • Diekert FK, Hjermann DO, Naevdal E (2010) Spare the young fish: optimal harvesting policies for North-East Arctic cod. Environ Res Econ 47: 455–475

    Article  Google Scholar 

  • Grafton RQ, Kompas T, Chu L, Che N (2010) Maximum economic yield. Aust J Agric Resour Econ 54: 273–280

    Article  Google Scholar 

  • Grafton RQ, Kompas T, Hilborn RW (2007) Economics of overexploitation revisited. Science 318: 1601

    Article  Google Scholar 

  • Gröger J P, Rountree RA, Missong M, Rätz HJ (2007) A stock rebuilding algorithm featuring risk assessment and an optimization strategy of single or multispecies fisheries. ICES J Mar Sci 64: 1101–1115

    Google Scholar 

  • Hannesson R (1975) Fishery dynamics: a North Atlantic cod fishery. Can J Econ 8: 151–173

    Article  Google Scholar 

  • Hannesson R (2011) Forty years of fisheries economics. In fisheries economics and management. Future challenges. 100 years after Warming’s on rent fishing grounds. Book of Abstracts 35:44. Institute of Food and Resource Economics, University of Copenhagen

  • Horwood JW (1987) A calculation of optimal fishing mortalities. ICES J Mar Sci 43: 199–208

    Article  Google Scholar 

  • ICES (2007) Report of the working group on the assessment of Southern Shelf stocks of Hake, Monk and Megrim (WGHMM), 8–17 May 2007, Vigo, Spain. ICES Document CM 2007/ACFM: 21, 700 pp

  • ICES (2009) Report of the working group on the assessment of Southern Shelf stocks of Hake, Monk and Megrim (WGHMM), 5–11 May 2009, Copenhagen, Denmark. ICES CM 2009 ACOM:08, 537 pp

  • ICES (2010) Report of the working group on the assessment of Southern Shelf stocks of Hake, Monk and Megrim (WGHMM), 5–11 May 2010, Bilbao, Spain. ICES CM 2010 ACOM:11, 599 pp

  • Maroto JM, Moran J (2008) Increasing marginal returns and the danger of collapse of commercially valuable fish stocks. Ecol Econ 68: 422–428

    Article  Google Scholar 

  • McKendrick AG (1926) Applications of mathematics to medical problems. Proceedings of the Edinburgh Mathematical Society, vol 44, pp 98–130

  • Reed WJ (1980) Optimal age-specific harvesting in a nonlinear population model. Biometrics 36(4): 579–593

    Article  Google Scholar 

  • Scarf H (1959) The Optimality of (S, s) Policies in the dynamic inventory problem. In: Arrow KJ, Karlin S, Suppes P (eds) Mathematical methods in the social sciences. Proceedings of the first Stanford symposiym. Stanford University Press, Stanford, 1960, pp 196–202

  • Scientific, Technical and Economic Committee for Fisheries (STECF) (2008) Report of the sub-group on balance between resources and their exploitation (SGBRE). Northern hake long-term management plans (SGRE-07-03). (eds. Jardim E & Hölker, F). 2008. Publication Office of the European Union, Luxemburg, ISBN 978-92-79-11044-3, JRC49104, 133 pp

  • Skonhoft A, Vestergaard N, Quaas M (2012) Optimal Harvest in an age structured model with different fishing selectiviy. Environ Res Econ 51(4): 525–544

    Article  Google Scholar 

  • Stage J (2006) Optimal harvesting in an age-class model with age-specific mortalities: an example from Namibian line fishing. Nat Res Model 19: 609–631

    Article  Google Scholar 

  • Steinshamn SI (2011) A conceptional analysis of dynamics and production in bioeconomic models. Am J Agric Econ 93(3): 803–812

    Article  Google Scholar 

  • Stokey NL, Lucas RE, Prescott EC (1989) Recursive methods in economic dynamics. Harvard University Press, Harvard

    Google Scholar 

  • Tahvonen O (2008) Harvesting an age-structured population as biomass does it works?. Nat Resour Model 21(4): 525–550

    Article  Google Scholar 

  • Tahvonen O (2009) Economics of harvesting age-structured fish populations. J Environ Econ Manag 58: 281–299

    Article  Google Scholar 

  • Tahvonen O (2010) Age structured optimization models in fisheries bioeconomics: a survey. In: Boucekkine R, Hritonenko N, Yatsenko Y (eds) Optimal control of age-structured populations in economy, demography, and the environment. Routledge, Abingdon

  • Von Foerster H (1959) Some remarks on changing populations. Kinet Cell Prolif 382(407): 382–407

    Google Scholar 

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Correspondence to José-María Da Rocha.

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This paper has benefited from comments and suggestions by the Editor, David Finnoff, and two anonymous referees. We are especially grateful to Rögnvaldur Hannesson, Anders Skonhoft, Olli Tahvonen, and seminar participants at the First Age-structured Models in Fishery Economics and Bio-economic Modeling Workshop, held in Trondheim, Norway on 12–13 August 2009 and the participants in the Lisbon and Brussels 2007 Northern Hake Working Group meetings. Financial aid from the European Commission (MYFISH, FP7-KBBE-2011-5), the Spanish Ministry of Science and Innovation (ECO2009-14697-C02-01 and 02) and the Xunta de Galicia (Anxeles Alvariño programme) is gratefully acknowledged. The first draft of the paper was written while Jose Maria Da Rocha was visiting Institut d’Anà lisi Econòmica-CSIC. He gratefully acknowledges its hospitality.

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Da Rocha, JM., Gutiérrez, MJ. & Antelo, L.T. Selectivity, Pulse Fishing and Endogenous Lifespan in Beverton-Holt Models. Environ Resource Econ 54, 139–154 (2013). https://doi.org/10.1007/s10640-012-9585-z

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