Jennifer Dannheim, Paul Kloss, Jan Vanaverbeke, Ninon Mavraki, Mirta Zupan, Vanessa Spielmann, Steven Degraer, Silvana NR Birchenough, Urszula Janas, Emma Sheehan, Katharina Teschke, Andrew B Gill, Zoe Hutchison, Drew A Carey, Michael Rasser, Jolien Buyse, Babeth van der Weide, Oliver Bittner, Paul Causon, Roland Krone, Marco Faasse, Alexa Wrede, and Joop WP Coolen (2025)
Biodiversity Information of benthic Species at ARtificial structures – BISAR
Scientific Data, 12(604):1-11.
Worldwide reduction of carbon emissions is needed to help reduce the effects of climate change. Twenty-seven
member states of the European Union have committed to reduce emissions by 55% of 1990 levels by 20301. To
achieve this, an unprecedented installation of offshore marine renewable energy devices (wind, wave, tidal,
solar) and cable networks is required2. To date, offshore wind energy is the largest marine renewable energy provider,
currently producing globally 35 GW with an increase to 70 GW expected by 20253 and a potential increase
worldwide to 1000 GW expected by 20504. Europe has the majority of offshore wind farms (OWFs) with a capacity
of 28 GW5, which corresponds to 5,795 grid-connected wind turbines across 123 OWFs and 12 countries5.
Marine biodiversity and their associated ecosystems are increasingly being affected by anthropogenic pressures,
such as the growing number of artificial structures6,7, eutrophication, fisheries and climate change8–10. The
introduction of man-made structures can potentially have both positive and negative effects on marine ecosystems11–
14. Soft-bottom communities are altered close to artificial structures15–17, while a significant amount of
marine growth colonises the artificial hard structures18,19.
To assess the effects of man-made structures on the benthic community, most environmental impact assessment
data collection studies have been conducted over small spatial and temporal scales20 such as single turbines
or single OWFs and associated infrastructure15,21,22. Some countries have coordinated programmes to standardise
data collection methods on soft sediments (e.g., Germany23, Belgium24, the Baltic Sea25), and there are
existing methods to study macrofauna on natural hard substrates such as rocky bottoms26. However, there are no
internationally agreed methods, metrics or databases for the data collection, which is critical for understanding
the effects of artificial structures on marine ecosystems. Data are disparate owing to differences in data diversity,
regarding (i) sampling devices and methods, (ii) sample analysis (e.g., variables, taxonomic resolution), (iii) data
storage and management, as well as (iv) continuously changing taxonomy. This results in a lack of consistent
data with regards to offshore artificial structures and benthos. Thus, investigation of large-scale benthic effects
requires merging data from different sources, which is challenging (time consuming, costly, difficult) or even not
possible19. Taken together, the available data are underutilised.
A few attempts have been made to collect and analyse biodiversity data from different substrates
(wind turbines, oil and gas platforms, surrounding soft sediments and rocky reefs) in a single region19,27,28.
Ecosystem-based management requires a deep understanding of the effects of artificial structures over large
spatial and temporal scales that exceed budgets, timeframes and jurisdictional borders. Data sharing through
the creation of an integrated database can provide multiple benefits for science, industry, and policy. It could
be used for large-scale research studies examining the aforementioned effects and facilitate ecosystem-based
management. Furthermore, the creation of a centralised dataset could enable answering scientific questions
regarding stepping stone effects beyond the scale of individual OWFs, platforms or countries29,30. Industry could
exploit this dataset for environment-friendly planning, predicting effects of new activities at offshore locations.
Finally, sharing such data is crucial in developing fact-based scientific advice for decommissioning decisions for
various stakeholders.
This paper presents the first data collection ‘Biodiversity Information of benthic Species at ARtificial structures’
(BISAR). BISAR contains data on benthic macrofauna collected in environmental impact studies, scientific
projects and species inventories conducted at 17 artificial offshore structures in the North Sea between
2003 and 2019. The structures include OWFs, oil and gas platforms, a research platform and a geogenic reef to
compare natural and artificial reef communities. BISAR includes data from soft and hard substrate studies (34
artificial structures), allowing comparisons of changes in both habitat types. This data collection currently contains
data from a total of 3864 samples with 890 taxa. BISAR is the first data product containing harmonised and
quality-checked international data on benthos from substrates influenced by artificial structures in the North
Sea. Various stakeholders (e.g., industry, public authorities, research) will profit from the BISAR data collection
as the greatest challenge in an era of blue growth is to get access to data from various sources
EN, Open Access
Correspondence and requests for materials should be addressed to J.D.
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