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© Kay Panten
Institute of

SF Sea Fisheries

Publications, peer-reviewed

  1. 0

    Moyano M, Illing B, Akimova A, Alter K, Bartolino V, Börner G, Clemmesen C, Finke A, Gröhsler T, Kotterba P, Livdane L, Mittermayer F, Moll D, Nordheim L von, Peck M, Schaber M, Polte P (2023) Caught in the middle: bottom-up and top-down processes impacting recruitment in a small pelagic fish. Rev Fish Biol Fisheries 33(1):55-84, DOI:10.1007/s11160-022-09739-2

    https://literatur.thuenen.de/digbib_extern/dn065680.pdf

  2. 1

    Akimova A, Peck M, Börner G, Damme CJG van, Moyano M (2023) Combining modeling with novel field observations yields new insights into wintertime food limitation of larval fish. Limnol Oceanogr 68(8):1865-1879, DOI:10.1002/lno.12391

    https://literatur.thuenen.de/digbib_extern/dn066587.pdf

  3. 2

    Koul V, Brune S, Akimova A, Düsterhus A, Pieper P, Hövel L, Parekh A, Schrum C, Baehr J (2023) Seasonal prediction of Arabian Sea marine heatwaves. Geophys Res Lett 50(18):e2023GL103975, DOI:10.1029/2023GL103975

    https://literatur.thuenen.de/digbib_extern/dn066940.pdf

  4. 3

    Skogen MD, Ji R, Akimova A, Daewel U, Hansen C, Hjollo SS, Leeuwen SM van, Maar M, Macias D, Askov Mousing E, Almroth-Rosell E, Sailley SF, Spence M, Troost TA, van de Wolfshaar K (2021) Disclosing the truth: Are models better than observations? Mar Ecol Progr Ser 680:7-13, DOI:10.3354/meps13574

  5. 4

    Núñez-Riboni I, Akimova A, Sell AF (2021) Effect of data spatial scale on the performance of fish habitat models. Fish Fisheries 22(5):955-973, DOI:10.1111/faf.12563

    https://literatur.thuenen.de/digbib_extern/dn063616.pdf

  6. 5

    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

  7. 6

    Akimova A, Hufnagl M, Peck M (2019) Spatiotemporal dynamics of predators and survival of marine fish early life stages: Atlantic cod (Gadus morhua) in the North Sea. Progr Oceanogr 176:102121, DOI:10.1016/j.pocean.2019.102121

  8. 7

    Núñez-Riboni I, Akimova A (2017) Quantifying the impact of the major driving mechanisms of inter-annual variability of salinity in the North Sea. Progr Oceanogr 154:25-37, DOI:10.1016/j.pocean.2017.04.004

  9. 8

    Akimova A, Hufnagl M, Kreus M, Peck M (2016) Modeling the effects of temperature on the survival and growth of North Sea cod (Gadus morhua) through the first year of life. Fisheries Oceanogr 25(3):193-209, DOI:10.1111/fog.12145

  10. 9

    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

  11. 10

    Núñez-Riboni I, Akimova A (2015) Monthly maps of optimally interpolated in situ hydrography in the North Sea from 1948 to 2013. J Mar Syst 151:15-34, DOI:10.1016/j.jmarsys.2015.06.003

  12. 11

    Kempf A, Stelzenmüller V, Akimova A, Floeter J (2013) Spatial assessment of predator–prey relationships in the North Sea: the influence of abiotic habitat properties on the spatial overlap between 0-group cod and grey gurnard. Fisheries Oceanogr 22(3):174-192, DOI:10.1111/fog.12013

  13. 12

    Akimova A, Schauer U, Danilov S, Núñez-Riboni I (2011) The role of the deep mixing in the Storfjorden shelf water plume. Deep Sea Res Pt 1 Oceanogr Res Paper 58(4):403-414, DOI:10.1016/j.dsr.2011.02.001

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