![[Translate to English:]](/media/_processed_/7/1/csm_IMG_7977_large_1defaf5de1.jpg "[Translate to English:]")
Project
Biological Oceanography - How Physics Affects Biology
Biological Oceanography - How Physics Affects Biology
Factors such as temperature, salinity, oxygen, and oceanic currents shape the environmental conditions of marine life and directly or indirectly impact marine ecosystems. In this project, we aim to understand and quantify these impacts and use climatic trends to predict future changes in marine life.
Background and Objective
In this project, we explore the influence of marine physics on marine ecosystems and particularly fish. Data analyses, statistical models as well as computer simulations help us to better understand and predict the complex interactions between physical (e.g. temperature, salinity, current conditions) and biological variables (e.g. fish stock distribution, biomass and productivity).
Target Group
Policy makers; Marine scientists
Approach
We apply a variety of statistical methods to investigate environmental influences on abundance, recruitment, and distribution of commercial fish species. In particular, our habitat models are complex statistical methods (generalized additive and linear (mixed models) and help us to determine relationships between the environment and the spatial distribution of fish. These models allow us to explore the influence of climate change on the fish distribution, as well as to calculate medium- to long-term projections of future distributional changes as a result of climate change. Moreover, we use physiological individual-based models to explore the processes that control variability in fish productivity. Our models simulate individual fish eggs, larvae, and juveniles and estimate their growth and mortality. The models help us investigate the potential influence of environmental and human-induced changes in marine ecosystems (e.g., offshore wind farms, coastal protection measures) on the survival of fish early life stages.
Our Research Questions
What is the influence of environmental parameters and climate change on the distribution and population dynamics of North Atlantic fish stocks?
What are the relevant processes, and on what spatial and temporal scales do they occur?
Thünen-Contact
Involved Thünen-Partners
Duration
7.2008 - 12.2027
More Information
Project status:
ongoing
Publications
- 0
Börner G, Frelat R, Akimova A, van Damme C, Peck M, Moyano M (2025) Autumn and winter plankton composition and size structure in the North Sea. Mar Ecol Progr Ser 753:1-18, DOI:10.3354/meps14767
- 1
Akimova A, Peck M, Börner G, Damme CJG van, Moyano M (2024) Corrigendum to “Combining modeling with novel field observations yields new insights into wintertime food limitation of larval fish”. Limnol Oceanogr 69(7):1665, DOI:10.1002/lno.12532
- 2
Böer G, Gröger JP, Badri-Höher S, Cisewski B, Renkewitz H, Mittermayer F, Strickmann T, Schramm H (2023) A deep-learning based pipeline for estimating the abundance and size of aquatic organisms in an unconstrained underwater environment from continuously captured stereo video. Sensors 23(6):3311, DOI:10.3390/s23063311
- 3
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
- 4
Hodapp D, Roca IT, Fiorentino D, Garilao C, Kaschner K, Kesner-Reyes K, Schneider B, SegschneideJ, Kocsis AT, Kiessling W, Brey T, Froese R (2023) Climate change disrupts core habitats of marine species. Global Change Biol 29(12):3304-3317, DOI:10.1111/gcb.16612
- 5
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
- 6
Núñez-Riboni I, Costas G, Diekmann R, Ulleweit J, Kloppmann MHF (2023) Reviewing and improving spatiotemporal modeling approaches for mackerel's total annual egg production. Rev Fish Biol Fisheries 33(4):1523-1546, DOI:10.1007/s11160-023-09795-2
- 7
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
- 8
Núñez-Riboni I, Chelton DB, Marconi V (2023) The spectral color of natural and anthropogenic time series and its impact on the statistical significance of cross correlation. Sci Total Environ 860:160219, DOI:10.1016/j.scitotenv.2022.160219
- 9
Akimova A, Peck M, Börner G, Damme CJG van, Moyano M (2023) Wintertime growth limitation of herring larvae: combining physiological modelling with novel zooplankton observations. STAGES : Early Life History Section Newsl 44(3):8-9
