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© Kay Panten
Institut für

SF Seefischerei

Publikationen, referiert

  1. 0

    Kokkalis A, Berg CW, Kapur MS, Winker H, Jacobsen NS, Taylor MH, Ichinokawa M, Miyagawa M, Medeiros-Leal W, Nielsen JR, Mildenberger TK (2024) Good practices for surplus production models. Fish Res 275:107010, DOI:10.1016/j.fishres.2024.107010

    https://literatur.thuenen.de/digbib_extern/dn069052.pdf

  2. 1

    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

    https://literatur.thuenen.de/digbib_extern/dn066264.pdf

  3. 2

    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

  4. 3

    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

    https://literatur.thuenen.de/digbib_extern/dn066203.pdf

  5. 4

    Akbarinia N, Bjorndal T, Failler P, Forse A, Taylor MH, Drakeford B (2022) A multi-criteria framework for the sustainable management of fisheries: a case study of UK’s North Sea Scottish Fisheries. Environ Manag 70(1):79-96, DOI:10.1007/s00267-022-01607-w

    https://literatur.thuenen.de/digbib_extern/dn064738.pdf

  6. 5

    Rindorf A, van Deurs M, Howell D, Andonegi E, Berger A, Bogstad B, Cadigan N, Elvarsson BT, Hintzen NT, Savina-Rolland M, Taylor MH, Trijoulet V, Kooten T van, Zhang F, Collie J (2022) Strength and consistency of density dependence in marine fish productivity. Fish Fisheries 23(4):812-828, DOI:10.1111/faf.12650

    https://literatur.thuenen.de/digbib_extern/dn064739.pdf

  7. 6

    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

    https://literatur.thuenen.de/digbib_extern/dn065199.pdf

  8. 7

    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

  9. 8

    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

    https://literatur.thuenen.de/digbib_extern/dn064301.pdf

  10. 9

    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

    https://literatur.thuenen.de/digbib_extern/dn064168.pdf

  11. 10

    Püts M, Taylor MH, Núñez-Riboni I, Steenbeek J, Stäbler M, Möllmann C, Kempf A (2020) Insights on integrating habitat preferences in process-oriented ecological models - a case study of the southern North Sea. Ecol Model 431:109189, DOI:10.1016/j.ecolmodel.2020.109189

  12. 11

    Chong L, Mildenberger TK, Rudd MB, Taylor MH, Cope JM, Branch TA, Wolff M, Stäbler M (2020) Performance evaluation of data-limited, length-based stock assessment methods. ICES J Mar Sci 77(1):97-108, DOI:10.1093/icesjms/fsz212

  13. 12

    Schwamborn R, Mildenberger TK, Taylor MH (2019) Assessing sources of uncertainty in length-based estimates of body growth in populations of fishes and macroinvertebrates with bootstrapped ELEFAN. Ecol Model 393:37-51, DOI:10.1016/j.ecolmodel.2018.12.001

  14. 13

    Fourriere M, Alvarado JJ, Cortes J, Taylor MH, Ayala-Bocos A, Azofeifa-Solano JC, Arauz R, Heidemeyer M, Lopez-Garro A, Zanella I, Wolff M (2019) Energy flow structure and role of keystone groups in shallow water environments in Isla del Coco, Costa Rica, Eastern Tropical Pacific. Ecol Model 396:74-85, DOI:10.1016/j.ecolmodel.2019.01.004

  15. 14

    Werner K-M, Taylor MH, Diekmann R, Lloret J, Möllmann C, Primicerio R, Fock HO (2019) Evidence for limited adaptive responsiveness to large-scale spatial variation of habitat quality. Mar Ecol Progr Ser 629:179-191, DOI:10.3354/meps13120

    https://literatur.thuenen.de/digbib_extern/dn061490.pdf

  16. 15

    Kluger LC, Taylor MH, Wolff M, Stotz W (2019) From an open-access fishery to a regulated aquaculture business: the case of the most important Latin American bay scallop (Argopecten purpuratus). Reviews Aquacult 11(1):187-203, DOI:10.1111/raq.12234

  17. 16

    Núñez-Riboni I, Taylor MH, Kempf A, Püts M, Mathis M (2019) Spatially resolved past and projected changes of the suitable thermal habitat of North Sea cod (Gadus morhua) under climate change. ICES J Mar Sci 76(7):2389-2403, DOI:10.1093/icesjms/fsz132

    https://literatur.thuenen.de/digbib_extern/dn061168.pdf

  18. 17

    Taylor MH, Mildenberger TK (2017) Extending electronic length frequency analysis in R. Fish Manag Ecol 24(4):330-338, DOI:10.1111/fme.12232

  19. 18

    Mildenberger TK, Taylor MH, Wolff M (2017) TropFishR: an R package for fisheries analysis with length-frequency data. Methods Ecol Evol:1-8, DOI:10.1111/2041-210X.12791

  20. 19

    Kluger LC, Taylor MH, Barriga Rivera E, Torres Silva E, Wolff M (2016) Assessing the ecosystem impact of scallop bottom culture through a community analysis and trophic modelling approach. Mar Ecol Progr Ser 547:121-135, DOI:10.3354/meps11652

  21. 20

    Kluger LC, Taylor MH, Mendo J, Tam JC, Wolff M (2016) Carrying capacity simulations as a tool for ecosystem-based management of a scallop aquaculture system. Ecol Model 331:44-55, DOI:10.1016/j.ecolmodel.2015.09.002

  22. 21

    Tesfaye G, Wolff M, Taylor MH (2016) Gear selectivity of fishery target resources in Lake Koka, Ethiopia: evaluation and management implications. Hydrobiologia 765(1):277-295, DOI:10.1007/s10750-015-2420-0

  23. 22

    Schmidt GM, Wall M, Taylor MH, Jantzen C, Richter C (2016) Large-amplitude internal waves sustain coral health during thermal stress. Coral Reefs 35(3):869-881, DOI:10.1007/s00338-016-1450-z

    https://literatur.thuenen.de/digbib_extern/dn056928.pdf

  24. 23

    Kruse M, Taylor MH, Muhando CA, Reuter H (2016) Lunar, diel, and tidal changes in fish assemblages in an East African marine reserve. Reg Studies Mar Sci 3:49-57, DOI:10.1016/j.rsma.2015.05.001

  25. 24

    Plass-Johnson JG, Taylor MH, Husain AA, Teichberg MC, Ferse SC (2016) Non-random variability in functional composition of coral reef fish communities along an environmental gradient. PLoS One 11(4):e0154014, DOI:10.1371/journal.pone.0154014

    https://literatur.thuenen.de/digbib_extern/dn056938.pdf

  26. 25

    Akimova A, Núñez-Riboni I, Kempf A, Taylor MH (2016) Spatially-resolved influence of temperature and salinity on stock and recruitment variability of commercially important fishes in the North Sea. PLoS One 11(9):e0161917, DOI:10.1371/journal.pone.0161917

    https://literatur.thuenen.de/digbib_extern/dn057166.pdf

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