Joint ICES-SEAwise workshop to quality assure methods to incorporate environmental factors and quantifying ecological considerations in management strategy evaluation tools (WKEcoMSE)

The EU project SEAwise (https://seawiseproject.org/) endeavours to enhance existing multi-stock multi-species Management Strategy Evaluation (MSE) models so that they can be used to define and evaluate fisheries management strategies that address broad Ecosystem-Based Fisheries Management (EBFM) objectives, including in particular identifying Harvest Control Rules (HCRs) that are robust to changes in productivity. The WKEcoMSE workshop was held to: (1) benchmark the approaches used or developed in the project to develop robust and consistent environment-productivity relationships for commercial stocks across selected case studies and integrate them in MSE models used by the SEAwise project and by ICES; (2) to provide context for those approaches within the general field of “environment-enriched” MSEs; and (3) to draw from the participants collective experience some general guidelines about the integration of environmental impacts on stock productivity in MSE tools. 23 presentations were given, both about the work carried out within SEAwise but also by international colleagues working toward similar objectives, and various topics were discussed over eight sessions designed to accommodate participants spread across Europe and Northern America. “Good practices” to incorporate environmental considerations in MSE modelling were then drafted collectively and have been summarized in the panels below. These rely on the experiences of the WKEcoMSE participants and are not exhaustive.

Keywords

SEAWISE MSE Environmental-productivity relationships Individual-based models Model evaluation

URI

http://hdl.handle.net/10400.2/16617

Citation

ICES. 2024. Joint ICES-SEAwise Workshop to Quality Assure Methods to Incorporate Environmental Fac-tors and Quantifying Ecological Considerations in Management Strategy Evaluation Tools (WKEcoMSE). ICES Scientific Reports. 6:72. 48 pp. https://doi.org/10.17895/ices.pub.26661457