R-04-01 An Agent-based Model of the Maine Lobster Industry

November 8, 2018

James Wilson
School of Marine Sciences
214 Libby Hall
University of Maine
Orono, ME 04469
207.581.4368
jwilson@maine.edu

David Hiebeler
Department of Mathematics and Statistics
326 Neville Hall
University of Maine
Orono, ME 04469
207.581.3924
hiebeler@math.maine.edu

Yong Chen
School of Marine Sciences
225 Libby Hall
University of Maine
Orono, ME 04469
207.581.4303
ychen@maine.edu

Maine’s most valuable commercial fishery, the American lobster fishery, has experienced periodic boom and bust cycles that have dramatically affected the economies of many coastal communities. Although scientific models designed to guide lobster management have predicted a decline in the population, lobster landings (and the apparent population) continue to increase. Many anomalies exist in the behavior of the lobster population, over the past 50 years in particular, that are not explained by accepted scientific models. The researchers will use a new conceptual approach, complex adaptive systems theory and agent-based modeling, to begin developing a new model of the lobster fishery.

2-year project, 2004-2006
Year 1: $31,000
Year 2: $31,000
Total: $62,000