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Observing infrastructure FRAM: Year-round multidisciplinary and multi-platform observations of global change effects on Arctic ecosystems

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Observing infrastructure FRAM: Year-round multidisciplinary

and multi-platform observations of global change effects on Arctic ecosystems

Janssen, F., Bienhold, C., Bergmann, M., Boebel, O., Boetius, A., Bracher, A., Hoppmann, M., Iversen, M. H., Kanzow, T., Liu, Y., Lochthofen, N., Loebl, M., Metfies, K., Nicolaus, M., Niehoff, B., Nöthig, E.-M., Purser, A., Rabe, B., Soltwedel, T.,

Torres-Valdés, S., von Appen, W.-J., Wenzhöfer, F., Wietz, M., Wulff, T., and the FRAM infrastructure team

Alfred Wegener Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany Contact: felix.janssen@awi.de

Scientific background and focus

FRAM aims to observe the ecosystem respon- se to climate change-related impacts that are particularly severe in the Arctic (‘Arctic amplifi- cation’). The current observing program builds on a legacy of ~20 years of time-series obser- vations at the LTER Observatory HAUSGAR- TEN in Fram Strait, an oceanographic mooring array at ~79°N, as well as autonomous obser- vations in the central Arctic basins. Addressing most GOOS EOVs, FRAM quantifies drivers of change (warming, decreasing sea ice extent, freshening, acidification) as well as effects on biological communities (microbes to large, vo- calizing mammals) and biogeochemical proces- ses (primary productivity in surface waters and

Recent findings

The first multidisciplinary FRAM time-series are becoming available for holistic ecosystem stu- dies at high temporal resolution. An example is shown below.

Conclusions

The FRAM OOS is largely implemented and allows year-round multidisciplinary observati- ons from surface / sea ice to seafloor. This pro- ves a powerful approach to comprehensively

address complex phenomena that may involve physics, biogeochemistry, as well as biology,

depict a strong seasonality, and take place

throughout the water column (e.g., the efficien- cy of the biological carbon pump). Comparing years with contrasting physical conditions (e.g., ice cover) provides insights into the ecosystem response to a changing Arctic climate and

helps predicting the future of the Arctic Ocean.

The FRAM infrastructure

The FRAM (‘FRontiers in Arctic Marine

Monitoring’) Ocean Observing System (OOS) uses a multi-platform approach for year-round multidisciplinary observations in harsh and part- ly ice-covered Arctic regions. The core of the

infrastructure is operated at a station network across Fram Strait and the Central Arctic Oce- an (see map). The implementation of the dis- tributed infrastructure started in 2014 and is currently being finalized. Installations extend from the sea ice to the seafloor (see below illustrations). Year-round measurements and sampling relies on state of the art automated

platforms, including static (e.g., moorings, moo- red profilers, benthic installations, ice-tethered instruments) as well as mobile components

(e.g., under-ice ROV, AUV, benthic crawlers).

In-situ observations are combined with regular research vessel campaigns and complemen- ted with remote sensing data.

on the ice

under the ice

upper water column

deep water colum

benthic boundary layer & upper sediment

Graphics: Alfred-Wegener-Institute / FRAM / Sabine Lüdeling

sea ice, particle export and attenuation, remin- eralization at the seafloor, and water column

oxygenation).

Observations at the central HAUSGARTEN

station HG IV (yellow dot in map) show strong seasonality in primary production, export fluxes, and deposition and use of organic matter pul-

ses at the seafloor. Although nutrients are avai- lable throughout spring, a significant increase in surface water productivity is only observed approx. two months after the end of the polar night at the time that a shallow mixed layer

evolved. At least one more month passes until significant quantities of detritus appear in bott- om-near sediment traps and start forming detri- tus patches at the seafloor. With short delay, in- creased presence of benthic mega-fauna reve- als utilization of the food pulse by epibenthic

fauna. A comparison to the previous year, when the region was ice-covered in spring, indicates a strong influence of ice conditions on the mag- nitude and timing of primary production and the export of organic matter to the deep sea (data not shown).

Acknowledgements

Captain and crew of RV POLARSTERN are acknowledged for their great support during FRAM expeditions. Funding is provided by the Helmholtz Association of German Research Centres.

Further reading

Buck J. J. H. et al. (2019) Ocean Data Product Integration Through Innovation-The Next Level of Data Interoperability, Frontiers in Marine Science, doi: 10.3389/fmars.2019.00032

Rabe, B. et al. (2014) Arctic Ocean basin liquid freshwater storage trend 1992–2012 , Geophysical Research Letters, doi: 10.1002/2013GL058121 Soltwedel, T. et al. (2016) Natural variability or anthropogenically-induced variation? Insights from 15 years of multidisciplinary observations at the arctic open-ocean LTER site HAUSGARTEN, Ecological Indicators, doi:

10.1016/j.ecolind.2015.10.001

Soltwedel, T. et al. (2013) FRAM - FRontiers in Arctic marine Monitoring:

Permanent Observations in a Gateway to the Arctic Ocean, IEEE

Proceedings OCEANS’13, doi: 10.1109/OCEANS-Bergen.2013.6608008

21. Mar. 2018 21. Jun. 2018 28. Jun. 2018 18. Jul. 2018

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