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Modelling the spatio-temporal interplay between North Sea saithe (Pollachius virens) and multiple fleet segments for management evaluation

  • Sarah Laura Simons (a1) (a2), Ralf Döring (a1) and Axel Temming (a2)
Abstract

There is growing interest in bio-economic models as tools for understanding pathways of fishery behaviour, in order to assess the impact on natural resources. Based on ‘FishRent’, a modelling approach is presented that integrates economics of the fleet, the impact of fishing on stock development and their spatio-temporal interplay. The simulation of species seasonal movements in combination with both observed values and stochastic recruitment allowed analysing the economic response of fleet segments to changes in stock distribution and development. Optimisation of net profits determines the effort adjustment and spatial allocation of fleet segments, which in turn affects the level of catch rates. Effort tended to concentrate where fish abundance was high, but also where fishing costs were low. In simulations with the current management plan spawning stock of North Sea saithe (Pollachius virens) declined below its precautionary reference point. In response fishing far from home ports became expensive and 40% of the initial effort was shifted to areas closer to home ports, but as areas of high fish concentrations were located by the modelled fleet segments catch rates remained high. Changes in seasonal/annual stock distribution, the stock decline and costs influenced the change in fishing effort distributions leading to overestimated catch per unit of effort values that masked the decline of stock abundance.

There is growing interest in bio-economic models as tools for understanding pathways of fishery behaviour, in order to assess the impact on natural resources. Based on ‘FishRent’, a modelling approach is presented that integrates economics of the fleet, the impact of fishing on stock development and their spatio-temporal interplay. The simulation of species seasonal movements in combination with both observed values and stochastic recruitment allowed analysing the economic response of fleet segments to changes in stock distribution and development. Optimisation of net profits determines the effort adjustment and spatial allocation of fleet segments, which in turn affects the level of catch rates. Effort tended to concentrate where fish abundance was high, but also where fishing costs were low. In simulations with the current management plan spawning stock of North Sea saithe (Pollachius virens) declined below its precautionary reference point. In response fishing far from home ports became expensive and 40% of the initial effort was shifted to areas closer to home ports, but as areas of high fish concentrations were located by the modelled fleet segments catch rates remained high. Changes in seasonal/annual stock distribution, the stock decline and costs influenced the change in fishing effort distributions leading to overestimated catch per unit of effort values that masked the decline of stock abundance.

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Corresponding author
a Corresponding author: sarah.simons@ti.bund.de
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M. Abrahams , M. Healey , 1993, Some consequences of variation in vessel density: a manipulative field experiment. Fish. Res. 15, 315322.

F. Alban , P. Le Floc’h , J. Boncoeur , 2004, The impact of economic and regulatory factors on the relative profitability of fishing boats: A case study of the seaweed harvesting fleet of Northwest Brittany (France). Aquat. Living Resour. 17, 185193.

P.M. Allen , J.M. McGlade , 1986, Dynamics of discovery and exploitation - the case of the Scotian Shelf groundfish fisheries. Can. J. Fish. Aquat. Sci. 43, 11871200.

H. Armannsson , S.T. Jonsson , J.D. Neilson , G. Marteinsdottir , 2007, Distribution and migration of saithe (Pollachius virens) around Iceland inferred from mark-recapture studies. ICES J. Mar. Sci. 64, 10061016.

C. Béné , L. Doyen , D. Gabay , 2001, A viability analysis for a bio-economic model. Ecol. Econ. 36, 385396.

N.E. Bockstael , J.J. Opaluch , 1983, Discrete modelling of supply response under uncertainty: the case of the fishery. J. Environ. Econ. Manage. 10, 125137.

A.J. Booth , 2000, Incorporating the spatial component of fisheries data into stock assessment models. ICES J. Mar. Sci. 57, 858865.

L.W. Botsford , D.R. Brumbaugh , C. Grimes , J.B. Kellner , J. Largier , M.R. O’Farrell , S. Ralston , E. Soulanille , V. Wespestad , 2009, Connectivity, sustainability, and yield: bridging the gap between conventional fisheries management and marine protected areas. Rev. Fish. Biol. Fish. 19, 6995.

T.A. Branch , R. Hilborn , et al., 2006, Fleet dynamics and fishermen behavior: lessons for fisheries managers. Can J. Fish. Aquat. Sci. 63, 16471668.

J. Caddy , F. Carocci , 1999, The spatial allocation of fishing intensity by port-based inshore fleets: a GIS application. ICES J. Mar. Sci. 56, 388403.

G. Cambiè , R. Ourens , D.F. Vidal , S. Carabel , J. Freire , 2012, Economic performance of coastal fisheries in Galicia (NW Spain): case study of the Cíes Islands. Aquat. Living Resour. 25, 195204.

M. Casini , M. Cardinale , J. Hjelm , F. Vitale , 2005, Trends in CPUE and related changes in spatial distribution of demersal fish species in the Kattegat and Skagerrak, eastern North Sea, between 1981 and 2003. ICES J. Mar. Sci. 62, 671682.

W.W.L. Cheung , J. Dunne , J.L. Sarmiento , D. Pauly , 2011, Integrating ecophysiology and plankton dynamics into projected maximum fisheries catch potential under climate change in the Northeast Atlantic. ICES J. Mar. Sci. 68, 10081018.

D. Clay , W.T. Stobo , B. Beck , P.C.F. Hurley , 1989, Growth of juvenile pollock (Pollachius virens L.) along the Atlantic coast of Canada with inferences of inshore-offshore movements. J. Northwest Atl. Fish. Sci. 9, 3743.

B. DeYoung , G.A. Rose , 1993, On recruitment and distribution of Atlantic cod (Gadus morhua) off Newfoundland. Can. J. Fish. Aquat. Sci. 50, 27292741.

U. Dieckmann , B. O’Hara , W. Weisser , 1999, The evolutionary ecology of dispersal. Trends Ecol. Evol. 14, 8890.

M.W. Dorn , 1998, Fine-scale fishing strategies of factory trawlers in a midwater trawl fishery for Pacific hake (Merluccius productus). Can. J. Fish. Aquat. Sci. 55, 180198.

J. Eales , J.E. Wilen , 1986, An examination of fishing location choice in the pink shrimp fishery. Mar Resour. Econ. 2, 331351.

A. Eide , F. Skjold , F. Olsen , O. Flaaten , 2003, Harvest functions: The Norwegian bottom trawl cod fisheries. Mar. Resour. Econ. 18, 8194.

D. Gascuel , A. Fonteneau , E. Foucher , 1993, Analysis of fishing power evolution using virtual population analysis: the case of purse seiners exploiting yellowfin (Thunnus albacares) in the Eastern Atlantic. Aquat. Living Resour. 6, 1530.

J.B. Gatewood , 1984, cooperation, competition, and synergy: information-sharing groups among Southeast Alaskan salmon seiners. Am. Ethnol. 11, 350370.

D.M. Gillis , 2003, Ideal free distributions in fleet dynamics: a behavioral perspective on vessel movement in fisheries analysis. Can. J. Zool. 81, 177187.

S.S. Hanna , C.L. Smith , 1993, Attitudes of trawl vessel captains about work, resource use, and fishery management. N. Am. J. Fish. Manage. 13, 367375.

S.J. Harley , R.A. Myers , A. Dunn , 2001, Is catch-per-unit-effort proportional to abundance? Can. J. Fish. Aquat. Sci. 58, 17601772.

R. Hilborn , 1985, Fleet dynamics and individual variation - why some people catch more fish than others. Can. J. Fish. Aquat. Sci. 42, 213.

R. Hilborn , R.B. Kennedy , 1992, Spatial pattern in catch rates: a test of economic theory. Bull. Math. Biol. 54, 263273.

R. Hilborn , M. Ledbetter , 1979, Analysis of the British-Columbia salmon purse-seine fleet - Dynamics of movement. J. Fish Res. Board Can. 36, 384391.

L.D. Jacobson , C.J. Thomson , 1993, Opportunity costs and the decision to fish for northern anchovy. N. Am. J. Fish. Manage. 13, 2734.

M.C. Jones , S.R. Dye , J.K. Pinnegar , R. Warren , W.W.L. Cheung , 2012, Modelling commercial fish distributions: Prediction and assessment using different approaches. Ecol. Model. 225, 133145.

L.A. Kerr , S.X. Cadrin , D.H. Secor , 2010, The role of spatial dynamics in the stability, resilience, and productivity of an estuarine fish population. Ecol. Appl. 20, 497507.

D.E. Lane , 1988, Investment decision making by fishermen. Can. J. Fish. Aquat. Sci. 45, 782796.

E. Olsen , S. Aanes , S. Mehl , J.C. Holst , A. Aglen , H. Gjosaeter , 2010, Cod, haddock, saithe, herring, and capelin in the Barents Sea and adjacent waters: a review of the biological value of the area. ICES J. Mar. Sci. 67, 87101.

J.J. Opaluch , N.E. Bockstael , 1984, Behavioral modeling and fisheries management. Mar. Resour. Econ. 1, 105115.

C.T. Palmer , 1991, Kin-selection, reciprocal altruism, and information sharing among Maine lobstermen. Ethol. Sociobiol. 12, 221235.

D. Pelletier , P. Magal , 1996, Dynamics of a migratory population under different fishing effort allocation schemes in time and space. Can. J. Fish. Aquat. Sci. 53, 11861199.

J.J. Poos , A.D. Rijnsdorp , 2007, An “experiment” on effort allocation of fishing vessels: the role of interference competition and area specialization. Can. J. Fish. Aquat. Sci. 64, 304313.

G.A Rose , D.W. Kulka , 1999, Hyperaggregation of fish and fisheries: how catch-per-unit-effort increased as the northern cod (Gadus morhua) declined. Can. J. Fish. Aquat. Sci. 56(S1), 118127.

S. Salas , D. Gaertner , 2004, The behavioural dynamics of fishers: management implications. Fish Fish. 5, 153167.

U.R. Sumaila , L. Teh , R. Watson , P. Tyedmers , D. Pauly , 2008, Fuel price increase, subsidies, overcapacity and resource sustainability. ICES J. Mar. Sci. 65, 832840.

D.P. Swain , E.J. Wade , 2003, Spatial distribution of catch and effort in a fishery for snow crab (Chionoecetes opilio): tests of predictions of the ideal free distribution. Can. J. Fish. Aquat. Sci. 60, 897909.

A.N. Tidd , T. Hutton , L.T. Kell , G. Padda , 2011, Exit and entry of fishing vessels: an evaluation of factors affecting investment decisions in the North Sea English beam trawl fleet. ICES J. Mar. Sci. 68, 961971.

V.M. Trenkel , J.A. Beecham , J.L. Blanchard , C.T.T. Edwards , P. Lorance , 2013, Testing CPUE-derived spatial occupancy as an indicator for stock abundance: application to deep-sea stocks. Aquat. Living Resour. 26, 319332.

C. Ulrich , S. Pascoe , PJ. Sparre , JW. De Wilde , P. Marchal , 2002, Influence of trends in fishing power on bioeconomics in the North Sea flatfish fishery regulated by catches or by effort quotas. Can. J. Fish. Aquat. Sci. 59, 829843.

D. van Dijk , E.M. Hendrix , R. Haijema , R.A. Groeneveld , E.C. van Ierland , 2014, On solving a bi-level stochastic dynamic programming model for analyzing fisheries policies: Fishermen behavior and optimal fish quota. Ecol. Model. 272, 6875.

J.E. Wilen , 1979, Fisherman behavior and the design of efficient fisheries regulation programs. J. Fish. Board Can. 36, 855858.

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Aquatic Living Resources
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