@article{ ISI:000351837500008,
Author = {Bastardie, Francois and Nielsen, J. Rasmus and Eigaard, O. R. and Fock,
   H. O. and Jonsson, P. and Bartolino, V.},
Title = {{Competition for marine space: modelling the Baltic Sea fisheries and
   effort displacement under spatial restrictions}},
Journal = {{ICES JOURNAL OF MARINE SCIENCE}},
Year = {{2015}},
Volume = {{72}},
Number = {{3}},
Pages = {{824-840}},
Month = {{MAR-APR}},
Abstract = {{Maritime spatial planning (MSP) and fishery management may generate
   extra costs for fisheries by constraining fishers activity with
   conservation areas and new utilizations of the sea. More
   energy-efficient fisheries are also likely to alter existing fishing
   patterns, which already vary from fishery to fishery and from vessel to
   vessel. The impact assessment of new spatial plans involving fisheries
   should be based on quantitative bioeconomic analyses that take into
   account individual vessel decisions, and trade-offs in cross-sector
   conflicting interests. We use a vessel-oriented decision-support tool
   (the DISPLACE model) to combine stochastic variations in spatial fishing
   activities with harvested resource dynamics in scenario projections. The
   assessment computes economic and stock status indicators by modelling
   the activity of Danish, Swedish, and German vessels (> 12 m) in the
   international western Baltic Sea commercial fishery, together with the
   underlying size-based distribution dynamics of the main fishery
   resources of sprat, herring, and cod. The outcomes of alternative
   scenarios for spatial effort displacement are exemplified by evaluating
   the fishers's abilities to adapt to spatial plans under various
   constraints. Interlinked spatial, technical, and biological dynamics of
   vessels and stocks in the scenarios result in stable profits, which
   compensate for the additional costs from effort displacement and release
   pressure on the fish stocks. The effort is further redirected away from
   sensitive benthic habitats, enhancing the ecological positive effects.
   The energy efficiency of some of the vessels, however, is strongly
   reduced with the new zonation, and some of the vessels suffer decreased
   profits. The DISPLACE model serves as a spatially explicit bioeconomic
   benchmark tool for management strategy evaluations for capturing
   tactical decision-making in reaction to MSP.}},
Publisher = {{OXFORD UNIV PRESS}},
Address = {{GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Bastardie, F (Reprint Author), Tech Univ Denmark, Sect Ecosyst Based Marine Management, Inst Aquat Resources, DK-2920 Charlottenlund, Denmark.
   Bastardie, Francois; Nielsen, J. Rasmus; Eigaard, O. R., Tech Univ Denmark, Sect Ecosyst Based Marine Management, Inst Aquat Resources, DK-2920 Charlottenlund, Denmark.
   Fock, H. O., Thunen Inst Sea Fisheries, Rostock, Germany.
   Jonsson, P.; Bartolino, V., Swedish Univ Agr Sci, Inst Marine Res, Dept Aquat Resources, S-45330 Lysekil, Sweden.}},
DOI = {{10.1093/icesjms/fsu215}},
ISSN = {{1054-3139}},
EISSN = {{1095-9289}},
Keywords = {{benthic habitats; decision choice modelling; displaced fishing effort;
   ecological-economic evaluation; marine space; maritime spatial planning;
   scenario evaluation}},
Keywords-Plus = {{INDIVIDUAL-BASED MODEL; WIND FARM PROJECTS; FISHING EFFORT; ENERGY
   EFFICIENCY; DANISH FISHERIES; ECOSYSTEM MODEL; MIXED FISHERIES;
   LARGE-SCALE; MANAGEMENT; CLOSURE}},
Research-Areas = {{Fisheries; Marine \& Freshwater Biology; Oceanography}},
Web-of-Science-Categories  = {{Fisheries; Marine \& Freshwater Biology; Oceanography}},
Author-Email = {{fba@aqua.dtu.dk}},
ORCID-Numbers = {{Eigaard, Ole Ritzau/0000-0003-4213-2397}},
Funding-Acknowledgement = {{Danish Strategic Research Council; EU-FP7 SOCIOEC project; EU-FP7
   BENTHIS project; EU-FP-7-VECTORS project; Formas {[}2012-942]}},
Funding-Text = {{We thank Leyre Goti, vTi, Germany, and Kerstin Geitner, DTU-Aqua,
   Denmark, for providing us with the windmill farm GIS map layers. We
   thank Federico Fuga, Studiofuga, Italy, for technical assistance in
   developing the user interface. The work has been partly financed by and
   conducted under the Danish Strategic Research Council Project
   IMAGE/MAFIA, and the EU-FP7 SOCIOEC, EU-FP7 BENTHIS, and EU-FP-7-VECTORS
   projects. PJ and VB were funded by Formas research and development
   project grant 2012-942.}},
Number-of-Cited-References = {{73}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{27}},
Journal-ISO = {{ICES J. Mar. Sci.}},
Doc-Delivery-Number = {{CE4YW}},
Unique-ID = {{ISI:000351837500008}},
OA = {{No}},
DA = {{2017-08-17}},
}

{"_id":"ZfQ6i3q3xaufzYYiJ","bibbaseid":"bastardie-nielsen-eigaard-fock-jonsson-bartolino-competitionformarinespacemodellingthebalticseafisheriesandeffortdisplacementunderspatialrestrictions-2015","downloads":0,"creationDate":"2017-08-17T14:08:07.523Z","title":"Competition for marine space: modelling the Baltic Sea fisheries and effort displacement under spatial restrictions","author_short":["Bastardie, F.","Nielsen, J. R.","Eigaard, O. R.","Fock, H. O.","Jonsson, P.","Bartolino, V."],"year":2015,"bibtype":"article","biburl":"http://flr-project.org/flr.bib","bibdata":{"bibtype":"article","type":"Article","author":[{"propositions":[],"lastnames":["Bastardie"],"firstnames":["Francois"],"suffixes":[]},{"propositions":[],"lastnames":["Nielsen"],"firstnames":["J.","Rasmus"],"suffixes":[]},{"propositions":[],"lastnames":["Eigaard"],"firstnames":["O.","R."],"suffixes":[]},{"propositions":[],"lastnames":["Fock"],"firstnames":["H.","O."],"suffixes":[]},{"propositions":[],"lastnames":["Jonsson"],"firstnames":["P."],"suffixes":[]},{"propositions":[],"lastnames":["Bartolino"],"firstnames":["V."],"suffixes":[]}],"title":"Competition for marine space: modelling the Baltic Sea fisheries and effort displacement under spatial restrictions","journal":"ICES JOURNAL OF MARINE SCIENCE","year":"2015","volume":"72","number":"3","pages":"824-840","month":"MAR-APR","abstract":"Maritime spatial planning (MSP) and fishery management may generate extra costs for fisheries by constraining fishers activity with conservation areas and new utilizations of the sea. More energy-efficient fisheries are also likely to alter existing fishing patterns, which already vary from fishery to fishery and from vessel to vessel. The impact assessment of new spatial plans involving fisheries should be based on quantitative bioeconomic analyses that take into account individual vessel decisions, and trade-offs in cross-sector conflicting interests. We use a vessel-oriented decision-support tool (the DISPLACE model) to combine stochastic variations in spatial fishing activities with harvested resource dynamics in scenario projections. The assessment computes economic and stock status indicators by modelling the activity of Danish, Swedish, and German vessels (> 12 m) in the international western Baltic Sea commercial fishery, together with the underlying size-based distribution dynamics of the main fishery resources of sprat, herring, and cod. The outcomes of alternative scenarios for spatial effort displacement are exemplified by evaluating the fishers's abilities to adapt to spatial plans under various constraints. Interlinked spatial, technical, and biological dynamics of vessels and stocks in the scenarios result in stable profits, which compensate for the additional costs from effort displacement and release pressure on the fish stocks. The effort is further redirected away from sensitive benthic habitats, enhancing the ecological positive effects. The energy efficiency of some of the vessels, however, is strongly reduced with the new zonation, and some of the vessels suffer decreased profits. The DISPLACE model serves as a spatially explicit bioeconomic benchmark tool for management strategy evaluations for capturing tactical decision-making in reaction to MSP.","publisher":"OXFORD UNIV PRESS","address":"GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND","language":"English","affiliation":"Bastardie, F (Reprint Author), Tech Univ Denmark, Sect Ecosyst Based Marine Management, Inst Aquat Resources, DK-2920 Charlottenlund, Denmark. Bastardie, Francois; Nielsen, J. Rasmus; Eigaard, O. R., Tech Univ Denmark, Sect Ecosyst Based Marine Management, Inst Aquat Resources, DK-2920 Charlottenlund, Denmark. Fock, H. O., Thunen Inst Sea Fisheries, Rostock, Germany. Jonsson, P.; Bartolino, V., Swedish Univ Agr Sci, Inst Marine Res, Dept Aquat Resources, S-45330 Lysekil, Sweden.","doi":"10.1093/icesjms/fsu215","issn":"1054-3139","eissn":"1095-9289","keywords":"benthic habitats; decision choice modelling; displaced fishing effort; ecological-economic evaluation; marine space; maritime spatial planning; scenario evaluation","keywords-plus":"INDIVIDUAL-BASED MODEL; WIND FARM PROJECTS; FISHING EFFORT; ENERGY EFFICIENCY; DANISH FISHERIES; ECOSYSTEM MODEL; MIXED FISHERIES; LARGE-SCALE; MANAGEMENT; CLOSURE","research-areas":"Fisheries; Marine & Freshwater Biology; Oceanography","web-of-science-categories":"Fisheries; Marine & Freshwater Biology; Oceanography","author-email":"fba@aqua.dtu.dk","orcid-numbers":"Eigaard, Ole Ritzau/0000-0003-4213-2397","funding-acknowledgement":"Danish Strategic Research Council; EU-FP7 SOCIOEC project; EU-FP7 BENTHIS project; EU-FP-7-VECTORS project; Formas [2012-942]","funding-text":"We thank Leyre Goti, vTi, Germany, and Kerstin Geitner, DTU-Aqua, Denmark, for providing us with the windmill farm GIS map layers. We thank Federico Fuga, Studiofuga, Italy, for technical assistance in developing the user interface. The work has been partly financed by and conducted under the Danish Strategic Research Council Project IMAGE/MAFIA, and the EU-FP7 SOCIOEC, EU-FP7 BENTHIS, and EU-FP-7-VECTORS projects. PJ and VB were funded by Formas research and development project grant 2012-942.","number-of-cited-references":"73","times-cited":"4","usage-count-last-180-days":"3","usage-count-since-2013":"27","journal-iso":"ICES J. Mar. Sci.","doc-delivery-number":"CE4YW","unique-id":"ISI:000351837500008","oa":"No","da":"2017-08-17","bibtex":"@article{ ISI:000351837500008,\nAuthor = {Bastardie, Francois and Nielsen, J. Rasmus and Eigaard, O. R. and Fock,\n H. O. and Jonsson, P. and Bartolino, V.},\nTitle = {{Competition for marine space: modelling the Baltic Sea fisheries and\n effort displacement under spatial restrictions}},\nJournal = {{ICES JOURNAL OF MARINE SCIENCE}},\nYear = {{2015}},\nVolume = {{72}},\nNumber = {{3}},\nPages = {{824-840}},\nMonth = {{MAR-APR}},\nAbstract = {{Maritime spatial planning (MSP) and fishery management may generate\n extra costs for fisheries by constraining fishers activity with\n conservation areas and new utilizations of the sea. More\n energy-efficient fisheries are also likely to alter existing fishing\n patterns, which already vary from fishery to fishery and from vessel to\n vessel. The impact assessment of new spatial plans involving fisheries\n should be based on quantitative bioeconomic analyses that take into\n account individual vessel decisions, and trade-offs in cross-sector\n conflicting interests. We use a vessel-oriented decision-support tool\n (the DISPLACE model) to combine stochastic variations in spatial fishing\n activities with harvested resource dynamics in scenario projections. The\n assessment computes economic and stock status indicators by modelling\n the activity of Danish, Swedish, and German vessels (> 12 m) in the\n international western Baltic Sea commercial fishery, together with the\n underlying size-based distribution dynamics of the main fishery\n resources of sprat, herring, and cod. The outcomes of alternative\n scenarios for spatial effort displacement are exemplified by evaluating\n the fishers's abilities to adapt to spatial plans under various\n constraints. Interlinked spatial, technical, and biological dynamics of\n vessels and stocks in the scenarios result in stable profits, which\n compensate for the additional costs from effort displacement and release\n pressure on the fish stocks. The effort is further redirected away from\n sensitive benthic habitats, enhancing the ecological positive effects.\n The energy efficiency of some of the vessels, however, is strongly\n reduced with the new zonation, and some of the vessels suffer decreased\n profits. The DISPLACE model serves as a spatially explicit bioeconomic\n benchmark tool for management strategy evaluations for capturing\n tactical decision-making in reaction to MSP.}},\nPublisher = {{OXFORD UNIV PRESS}},\nAddress = {{GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND}},\nType = {{Article}},\nLanguage = {{English}},\nAffiliation = {{Bastardie, F (Reprint Author), Tech Univ Denmark, Sect Ecosyst Based Marine Management, Inst Aquat Resources, DK-2920 Charlottenlund, Denmark.\n Bastardie, Francois; Nielsen, J. Rasmus; Eigaard, O. R., Tech Univ Denmark, Sect Ecosyst Based Marine Management, Inst Aquat Resources, DK-2920 Charlottenlund, Denmark.\n Fock, H. O., Thunen Inst Sea Fisheries, Rostock, Germany.\n Jonsson, P.; Bartolino, V., Swedish Univ Agr Sci, Inst Marine Res, Dept Aquat Resources, S-45330 Lysekil, Sweden.}},\nDOI = {{10.1093/icesjms/fsu215}},\nISSN = {{1054-3139}},\nEISSN = {{1095-9289}},\nKeywords = {{benthic habitats; decision choice modelling; displaced fishing effort;\n ecological-economic evaluation; marine space; maritime spatial planning;\n scenario evaluation}},\nKeywords-Plus = {{INDIVIDUAL-BASED MODEL; WIND FARM PROJECTS; FISHING EFFORT; ENERGY\n EFFICIENCY; DANISH FISHERIES; ECOSYSTEM MODEL; MIXED FISHERIES;\n LARGE-SCALE; MANAGEMENT; CLOSURE}},\nResearch-Areas = {{Fisheries; Marine \\& Freshwater Biology; Oceanography}},\nWeb-of-Science-Categories = {{Fisheries; Marine \\& Freshwater Biology; Oceanography}},\nAuthor-Email = {{fba@aqua.dtu.dk}},\nORCID-Numbers = {{Eigaard, Ole Ritzau/0000-0003-4213-2397}},\nFunding-Acknowledgement = {{Danish Strategic Research Council; EU-FP7 SOCIOEC project; EU-FP7\n BENTHIS project; EU-FP-7-VECTORS project; Formas {[}2012-942]}},\nFunding-Text = {{We thank Leyre Goti, vTi, Germany, and Kerstin Geitner, DTU-Aqua,\n Denmark, for providing us with the windmill farm GIS map layers. 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