Complexity of Ecosystems: Agent-based modeling of fisheries with NetLogo
Master 2 Economics Risks and Data Science (IREF-ERDS)
Murat Yildizoglu
http://yildizoglu.fr
This course module applies the concepts and tools learned above to a specific problem: Developing a small model of fishing in space, integrating the management of natural resources and economic behaviors of fishers.
The students will progressively create an agent-based model in NetLogo that implements, and complements the framework proposed in
Moustakas, A., W. Silvert, A. Dimitris Manolakis, 2006, A spatially explicit learning model of migratory fish and fishers for evaluating closed areas, Ecological Modelling, 192, 245-258.
Moustakas, A., W. Silvert, 2010, Spatial and temporal effects on the efficacy of marine protected areas: implications from an individual based model, Stoch Environ Res Risk Assess.
Note: Right-click + Save As… for the NetLogo programs.
Introduction — Slides
Application 1: A minimalistic model of fisheries - NetLogo program (Right-click, Save as…)
Application 2: Modeling the behavior of the fish schools and fishing boats - NetLogo program (Right-click, Save as…)
Application 3: Marine protected areas (MPA) - NetLogo program
Evaluation project 2018/19
For information on Agent-based modeling and NetLogo, check this page.
Introduction — Slides
Application 1: A minimalistic model of fisheries - NetLogo program (Right-click, Save as…)
Application 2: Modeling the behavior of the fish schools and fishing boats - NetLogo program (Right-click, Save as…)
Application 3: Marine protected areas (MPA) - NetLogo program
For information on Agent-based modeling and NetLogo, check this page.