Description: Over the last years, the development of offshore renewable energy installations such as offshore wind farms led to an increasing number of man-made structures in marine environments. Since 2009, benthic impact monitoring programs were carried out in wind farms installed in the southern North Sea. We collated and analyzed data sets from three major monitoring programs. Our analysis considered a total of 2849 sampling points converted to a set of biodiversity response metrics. We analyzed biodiversity changes related to the implementation of offshore wind farms and generalized the correlation of these changes with spatial and temporal patterns. Our results demonstrate that depth, season and distance to structure (soft-bottom community) consistently determined diversity indicators and abundance parameters, whereas the age and the country affiliation were significantly related to some but not all indices. The water depth was the most important structuring factor for fouling communities while seasonal effects were driving most of the observed changes in soft-sediment communities. We demonstrate that a meta-analysis can provide an improved level of understanding of ecological patterns on largescale effects of anthropogenic structures on marine biodiversity, which were not visible in single monitoring studies. We believe that meta-analyses should become an indispensable tool for management of offshore wind farm effects in the future, particularly in the view of the foreseen development of offshore renewable energies. This might lead to a better picture and more comprehensive view on potential alterations. However, this requires a modern open-source data policy and data management, across institutions and across national borders.

Description: Data on marine biota exist in many formats and sources, such as published literature, data repositories, and unpublished material. Due to this heterogeneity, information is difficult to find, access and combine, severely impeding its reuse for further scientific analysis and its long-term availability for future generations. To address this challenge, we present CRITTERBASE, a publicly accessible data warehouse and interactive portal that currently hosts quality-controlled and taxonomically standardized presence/absence, abundance, and biomass data for 18,644 samples and 3,664 benthic taxa (2,824 of which at species level). These samples were collected by grabs, underwater imaging or trawls in Arctic, North Sea and Antarctic regions between the years 1800 and 2014. Data were collated from literature, unpublished data, own research and online repositories. All metadata and links to primary sources are included. We envision CRITTERBASE becoming a valuable and continuously expanding tool for a wide range of usages, such as studies of spatio-temporal biodiversity patterns, impacts and risks of climate change or the evidence-based design of marine protection policies.

Description: In times of rapidly increasing multiple anthropogenic impacts on polar marine ecosystems and biodiversity, understanding, sustainable-use management and protection of these biotas is a matter of great concern. Research on marine biotas and their interactions with each other and the environment is fundamental in that regard, but available data are still diverse and scattered, as they exist in many formats and sources, such as published literature, data repositories, and unpublished material. Due to this heterogeneity, information is difficult to find, access and combine, severely impeding its reuse for further scientific analysis and its long-term availability for future generations. Scientists, decision makers, and the public require a versatile tool to compile, synthesize and manage biodiversity data in a transparent, efficient and comprehensible way and with high-level quality assurance. To address this challenge, we developed, implemented and utilize CRITTERBASE (https://critterbase.awi.de), a publicly accessible data warehouse and interactive portal that complies with the FAIR principles (Findability, Accessibility, Interoperability and Reusability of data). Its purpose is to complement long-term data storage repositories by providing powerful but easy-to-use data ingest, retrieval and exploration tools, thus facilitating the analysis of biodiversity data across multiple spatial and temporal scales and in wider contexts. Currently, it hosts quality-controlled and taxonomically standardized presence/absence, abundance, and biomass data from Arctic, North Sea and Antarctic regions, collated from the literature, unpublished data, own research and online repositories (with all metadata and links to primary sources included), for 3,173 polar benthic taxa (2,444 of which at species level) from 12,209 samples collected with grabs, underwater imaging or trawls between 1800 and 2014. CRITTERBASE is currently holding benthic biodiversity data only but because of its comprehensive and flexible data model it is suited to include information about further biotas and habitats. Therefore, we envision it becoming a valuable and continuously expanding tool for a wide range of usages, such as studies of spatio-temporal biodiversity patterns, impacts and risks of climate change or the evidence-based design of marine protection policies.

Description: The Collector's App is a platform-independent (macOS, Linux and Windows) software written in Python. The Collector's App allows biological data to be quality-checked and stored in CRITTERBASE, which is a science-driven PostgreSQL data warehouse for marine biota. For further data processing and statistical analyses or modelling purposes, the respective data can be queried directly via SQL from your CRITTERBASE data warehouse.