This new publication “Global-scale parameters for ecological models” in Scientific Data of Nature.com pertains to the collection of environmental data produced as a result of a collaboration between the National Research Council (CNR) of Italy and Quantitative Aquatics, Inc. (Q-quatics) for the EcoScope Project, specifically under Work Package 4: Climate forcing and the human impact. The paper “describes an extensive data collection of harmonised and standardised global-scale parameters, with associated long-term forecasts under different greenhouse gas emission and societal development scenarios.” The collection is “highly valuable for European and global-scale ecological niche models, ecological models, ecosystem models, environmental similarity analyses, and climate change studies. This global-scale dataset of marine-related data was built from the AquaMaps species distribution model environmental data authority files, reprocessed/novel data from CNR publications (marine science, Earth science, and epidemics), as well as newly produced data, particularly for this publication. The collection includes over 2100 standardized and harmonized raster data (ESRI-GRID ASCII format) for 58 different parameters at global and regional scales, as well as different spatial (0.5° and 0.1°) and temporal (monthly, annual) resolutions, temporal aggregations (~10 key years between 1950 and 2100, and monthly continuously from January 2017 to May 2021), and forecasts for several future climate scenarios (IPCC SRES A2 and RCP 2.6, 4.5, and 8.5). The data were also cut out on the 8 focus regions of the Ecoscope Project, covering the Adriatic Sea, Aegean Sea, Baltic Sea, Bay of Biscay, Black Sea, Levantine Sea, North Sea, and western Mediterranean Sea. Spatiotemporal analyses were performed on the focus regions using newly produced data (annually aggregated data from 2016 to 2020 at 0.1° resolution) to assess similarities in parameter trends as well as habitat similarities and their drivers over time.
Coro, G., Bove, P. & Kesner-Reyes, K. Global-scale parameters for ecological models. Sci Data 10, 7 (2023). https://doi.org/10.
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