MSE is used to simulate the interactions between data collection, data analysis, and fishery harvest controls in a way that highlights how well these interacting parts can be expected to result in the achievement of fishery management objectives.

MSE is used to provide scientific support for design and implementation of a fishery harvest strategy. MSE leads to informed policy development by examining simulated harvest strategies prior to their real-world application.   

How we apply MSE

We take a nuanced approach to the specification of population dynamics models that are used in MSE. From unique life histories (e.g., invertebrate fisheries), to multi-species fisheries, and to spatially complex fish stocks, we develop specialized simulation models. 

MSE is a form of trade-off analysis. Not all fishery harvest strategies will produce the same outcomes. Understanding trade-offs between conservation and fishery capacity to provide food security and economic well-being is central to successful fishery management.

Communication is key. We  deliver more than technical reports. Through engagement with stakeholders and decision-makers we aim to provide clarity and transparency in the delivery of scientific information. The use of MSE often presents an opportunity for collaboration between scientists, stakeholders, and decision-makers.