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Authors: Lei Gao ; Jeff Durkin and Atakelty Hailu

Affiliation: University of Western Australia, Australia

Keyword(s): Agent-based model, Random utility model, Recreational fishing, Management strategy Evaluation, Economic surplus, Non-market valuation.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Distributed and Mobile Software Systems ; Economic Agent Models ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Software Engineering ; Symbolic Systems

Abstract: This paper presents an integrated agent-based model of recreational fishing behaviour within a reef ecosystem as a platform for the evaluation of recreational fishing management strategies. Angler behaviour is described using econometrically estimated site choice models. Site choice among anglers is driven by site attributes and angler characteristics. The biophysical model represents the marine reef environment as a system with different trophic levels identifying algal and coral growth as well as two types of fish (piscivores and herbivores). Ecosystem dynamics are driven by interactions within the trophic levels and fishing activities. The model is capable of simulating the biophysical and economic welfare impacts of management strategies in a manner that accounts for feedback effects.

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Paper citation in several formats:
Gao, L.; Durkin, J. and Hailu, A. (2010). AN AGENT-BASED MODEL FOR RECREATIONAL FISHING MANAGEMENT EVALUATION IN A CORAL REEF ENVIRONMENT. In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-674-022-1; ISSN 2184-433X, SciTePress, pages 200-205. DOI: 10.5220/0002729702000205

@conference{icaart10,
author={Lei Gao. and Jeff Durkin. and Atakelty Hailu.},
title={AN AGENT-BASED MODEL FOR RECREATIONAL FISHING MANAGEMENT EVALUATION IN A CORAL REEF ENVIRONMENT},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2010},
pages={200-205},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002729702000205},
isbn={978-989-674-022-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - AN AGENT-BASED MODEL FOR RECREATIONAL FISHING MANAGEMENT EVALUATION IN A CORAL REEF ENVIRONMENT
SN - 978-989-674-022-1
IS - 2184-433X
AU - Gao, L.
AU - Durkin, J.
AU - Hailu, A.
PY - 2010
SP - 200
EP - 205
DO - 10.5220/0002729702000205
PB - SciTePress

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