OLAMUR - Case study C - DEB model prediction dataset: bioenergetic modeling of blue mussel production in Tagalaht Bay - WP3 University of Tartu

A test mussel farm in Tagalaht Bay (0.25 ha) uses a self-regulating system relying on larvae recruitment from wild populations. Mussels are cultivated on nets at 1-5 m depth, cleaned, and harvested by specialized machines after a 1.5-year cycle. The farm has six 100 m long lines with a stocking density of ~40 million mussels. Environmental inputs (salinity, temperature, wave conditions, chlorophyll a) were sourced from the Copernicus Marine Service, with high-resolution data from models like HIROMB-BOOS and BALMFC-ERGOM. Daily averages were used in bioenergetic modeling. Dynamic Energy Budget (DEB) models, parameterized with empirical datasets and calibrated in Matlab, were developed for mussels. Mussel models were validated against 32 datasets (MRE < 0.2). Detailed procedures and validation results are provided in Kotta et al. 2023 (DOI: 10.1111/1365-2664.14422). Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp3_casec_mussel-ut/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.