fishery management has moved beyond rhetorical statements, calling for a more
holistic approach to resource management and to implementing decisions on
resource use that are compatible with the goals of maintaining ecosystem health
and resilience. Coupled economic-ecological models are a primary tool for
informing these decisions. Recognizing the importance of these models, WGIMM
has been formed to explore alternative modelling approaches that bring the
multiple disciplines of economics, ecology, and stock assessment into
integrated ecosystem models.
Although economic and
ecological systems are inherently complex, models are abstractions of these
systems incorporating varying levels of complexity depending on available data
and the management issues to be addressed. The objective of WGIMM is to assess
the pros and cons of increasing model complexity to incorporate linkages
between ecosystem components and processes. While more complex ecosystem models
may provide greater insight into how management decisions and human actions
propagate through the ecosystem and impact the value of ecosystem services, the
resources and information required to develop and parameterize them is greater,
and these models tend to require trade-offs such as inability to quantify
uncertainty or model human behaviour as accurately as can be done with models
of individual fisheries.
This group was formerly called the Study Group on Integration of Economics, Stock Assessment and Fisheries Management (SGIMM).