Publications, peer-reviewed
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Kühn B, Kempf A, Brunel T, Cole H, Mathis M, Sys K, Trijoulet V, Vermard Y, Taylor MH (2023) Adding to the mix - Challenges of mixed-fisheries management in the North Sea under climate change and technical interactions. Fish Manag Ecol 30(4):360-377, DOI:10.1111/fme.12629
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Kempf A, Spence M, Lehuta S, Trijoulet V, Bartolino V, Villanueva MC, Gaichas S (2023) Skill assessment of models relevant for the implementation of ecosystem-based fisheries management. Fish Res 268:106845, DOI:10.1016/j.fishres.2023.106845
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Sun M, Li Y, Suatoni L, Kempf A, Taylor MH, Fulton EA, Szuwalski C, Spedicato MT, Chen Y (2023) Status and management of mixed fisheries: a global synthesis. Rev Fish Sci Aquacult 31(4):458-482, DOI:10.1080/23308249.2023.2213769
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Püts M, Kempf A, Möllmann C, Taylor MH (2023) Trade-offs between fisheries, offshore wind farms and marine protected areas in the southern North Sea - Winners, losers and effective spatial management. Mar Policy 152:105574, DOI:10.1016/j.marpol.2023.105574
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Bastardie F, Feary DA, Brunel T, Kell LT, Döring R, Metz S, Eigaard OR, Basurko OC, Bartolino V, Bentley J, Berges B, Bossier S, Brooks ME, Caballero A, Citores L, Daskalov G, Kempf A, Kühn B, Püts M, Taylor MH, et al (2022) Ten lessons on the resilience of the EU common fisheries policy towards climate change and fuel efficiency - A call for adaptive, flexible and well-informed fisheries management. Front Mar Sci 9:947150, DOI:10.3389/fmars.2022.947150
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Probst WN, Kempf A, Taylor MH, Martinez I, Miller D (2021) Six steps to produce stock assessments for the Marine Strategy Framework Directive compliant with Descriptor 3. ICES J Mar Sci 78(4):1229-1240, DOI:10.1093/icesjms/fsaa244
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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
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Taylor MH, Akimova A, Bracher A, Kempf A, Kühn B, Helaouet P (2021) Using dynamic ocean color provinces to elucidate drivers of North Sea hydrography and ecology. JGR Oceans 126(12):e2021JC017686, DOI:10.1029/2021JC017686
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Kühn B, Taylor MH, Kempf A (2021) Using machine learning to link spatiotemporal information to biological processes in the ocean: a case study for North Sea cod recruitment. Mar Ecol Progr Ser 664:1-22, DOI:10.3354/meps13689
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Wischnewski J, Bernreuther M, Kempf A (2020) Admissible dissimilarity value (ADV) as a measure of subsampling reliability: case study North Sea cod (Gadus morhua). Environ Monit Assessm 192:756, DOI:10.1007/s10661-020-08668-6