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Developing a Spatially Explicit Agent-Based Model of Queen Conch Distribution in a Marine Protected Area in the Turks and Caicos Islands

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dc.contributor.author Rudd, Murray A. en_US
dc.contributor.author Railsback, Steve en_US
dc.contributor.author Danylchuk, Andy en_US
dc.contributor.author Clerveaux, Wesley en_US
dc.date.accessioned 2009-07-31T14:40:40Z
dc.date.available 2009-07-31T14:40:40Z
dc.date.issued 2001 en_US
dc.date.submitted 2002-11-15 en_US
dc.date.submitted 2002-11-15 en_US
dc.identifier.uri https://hdl.handle.net/10535/1913
dc.description.abstract "Queen conch, Strombus gigas, is an important commercial resource in the Turks and Caicos Islands (TCI). The TCI government is funding the development of an agent-based model (ABM) to help better understand queen conch distribution and manage the artisanal fishery. ABMs are built from the ?bottom up? and simulate each individual agent ? conch, fishers and the fishery manager ? within the pertinent system. Agents follow relatively simple rules of behavior at the individual level but can engage in behavior that leads to complicated aggregate patterns of interaction. ABMs permit modelers to perform a variety of resource management experiments in a computer-generated artificial fisheries management laboratory, potentially increasing our ability to implement the principle of adaptive management while reducing the risk and/or time lags of real-world experiments. The purpose of this paper is to outline the development of the spatial components of a pilot model in which simple foragers (conch) live, grow and disperse. The model of the South Caicos East Harbor Lobster and Conch Reserve (EHLCR) uses habitat data derived from Landsat 7 satellite imagery as an environmental base and is implemented using the Swarm modeling platform. In the model, conch survival is dependent on (1) food intake and (2) mortality risk within each habitat type. The challenges of expanding the model from this pilot phase to incorporate more sophisticated fisher and fishery management agents in an expanded commercial fishery model are outlined." en_US
dc.language English en_US
dc.subject coastal resources en_US
dc.subject fisheries en_US
dc.subject remote sensing en_US
dc.subject agent-based computational economics en_US
dc.subject shellfish en_US
dc.subject simulations en_US
dc.title Developing a Spatially Explicit Agent-Based Model of Queen Conch Distribution in a Marine Protected Area in the Turks and Caicos Islands en_US
dc.type Conference Paper en_US
dc.type.published inpress en_US
dc.type.methodology Modeling en_US
dc.coverage.region Central America & Caribbean en_US
dc.coverage.country Turks and Caicos Islands en_US
dc.subject.sector Fisheries en_US
dc.identifier.citationconference 54th Gulf Caribbean Fisheries Institute en_US
dc.identifier.citationconfdates November 12-17, 2001 en_US
dc.identifier.citationconfloc Providenciales, Turks and Caicos Islands en_US
dc.submitter.email ruddm@mar.dfo-mpo.gc.ca en_US

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