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© Kay Panten
Institut für

SF Seefischerei

Publikationen, referiert

  1. 0

    Sulanke E, Rubel V, Berkenhagen J, Bernreuther M, Stoeck T, Simons SL (2025) Amending the European fishing fleet segmentation based on machine learning and multivariate statistics. Fish Res 281:107190, DOI:10.1016/j.fishres.2024.107190

    https://literatur.thuenen.de/digbib_extern/dn068829.pdf

  2. 1

    Bonsu PO, Letschert J, Yates KL, Svendsen JC, Berkenhagen J, Rozemeijer MJC, Kerkhove TRH, Rehren J, Stelzenmüller V (2024) Co-location of fisheries and offshore wind farms: Current practices and enabling conditions in the North Sea. Mar Policy 159:105941, DOI:10.1016/j.marpol.2023.105941

    https://literatur.thuenen.de/digbib_extern/dn067255.pdf

  3. 2

    Carpenter G, Carvalho N, Guillen J, Prellezo R, Villasante S, Andersen JL, Avdic Mravlje E, Berkenhagen J, Brigaudeau C, Burke B, Calvo Santos A, Cano S, Contini F, Da-Rocha JM, Davidjuka I, Fernandez Martinez FM, Fontaneda-López I, Gambino M, Garcia Caballero E, Guyader O, et al (2023) The economic performance of the EU fishing fleet during the COVID-19 pandemic. Aquatic Liv Res 36(Spec. issue):2, DOI:10.1051/alr/2022022

    https://literatur.thuenen.de/digbib_extern/dn066069.pdf

  4. 3

    Bitetto I, Malvarosa L, Berkenhagen J, Spedicato MT, Sabatella E, Döring R (2022) Reconciling the economic and biological fishery data gathered through the European Data Collection Framework: A new R-tool. PLoS One 17(3):e0264334, DOI:10.1371/journal.pone.0264334

    https://literatur.thuenen.de/digbib_extern/dn064762.pdf

  5. 4

    Goti-Aralucea L, Berkenhagen J, Sulanke E, Döring R (2021) Efficiency vs resilience: The rise and fall of the German brown shrimp fishery in times of COVID 19. Mar Policy 133:104675, DOI:10.1016/j.marpol.2021.104675

  6. 5

    Günther C, Temming A, Santos J, Berkenhagen J, Stepputtis D, Schultz S, Neudecker T, Kraus G, Bethke E, Hufnagl M (2021) Small steps high leaps: Bio-economical effects of changing codend mesh size in the North Sea Brown shrimp fishery. Fish Res 234:105797, DOI:10.1016/j.fishres.2020.105797

  7. 6

    Stelzenmüller V, Gimpel A, Haslob H, Letschert J, Berkenhagen J, Brüning S (2021) Sustainable co-location solutions for offshore wind farms and fisheries need to account for socio-ecological trade-offs. Sci Total Environ 776:145918, DOI:10.1016/j.scitotenv.2021.145918

  8. 7

    Letschert J, Stollberg N, Rambo H, Kempf A, Berkenhagen J, Stelzenmüller V (2021) The uncertain future of the Norway lobster fisheries in the North Sea calls for new management strategies. ICES J Mar Sci 78(10):3639-3649, DOI:10.1093/icesjms/fsab204

    https://literatur.thuenen.de/digbib_extern/dn064299.pdf

  9. 8

    Döring R, Berkenhagen J, Hentsch S, Kraus G (2020) Small-scale fisheries in Germany: A disappearing profession? MARE Publ Ser 23:483-502, DOI:10.1007/978-3-030-37371-9_23

  10. 9

    Stelzenmüller V, Diekmann R, Bastardie F, Schulze T, Berkenhagen J, Kloppmann MHF, Krause G, Pogoda B, Buck BH, Kraus G (2016) Co-location of passive gear fisheries in offshore wind farms in the German EEZ of the North Sea: a first socio-economic scoping. J Environ Manag 183(3):794-805, DOI:10.1016/j.jenvman.2016.08.027

  11. 10

    Bartelings H, Hamon KG, Berkenhagen J, Buisman EF (2015) Bio-economic modelling for marine spatial planning application in North Sea shrimp and flatfish fisheries. Environ Modelling Software 74:156-172, DOI:10.1016/j.envsoft.2015.09.013

  12. 11

    Stelzenmüller V, Schulze T, Fock HO, Berkenhagen J (2011) Integrated modelling tools to support risk-based decision-making in marine spatial management. Mar Ecol Progr Ser 441:197-212, doi:10.3354/meps09354

  13. 12

    Berkenhagen J, Döring R, Fock HO, Kloppmann MHF, Pedersen SA, Schulze T (2010) Decision bias in marine spatial planning of offshore wind farms: Problems of singular versus cumulative assessments of economic impacts on fisheries. Mar Policy 34(3):733-736, DOI:10.1016/j.marpol.2009.12.004

  14. 13

    Rudlof M, Berkenhagen J, Dienel HL, Legewie H (2003) Die Relevanz qualitativer Verfahren der Datenanalyse für das Wissensmanagement in Organisationen: Das Projekt "Thinktool". Wirtschaftspsychol 5(3)

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