AN AGENT-BASED MODEL FOR RECREATIONAL FISHING MANAGEMENT EVALUATION IN A CORAL REEF ENVIRONMENT

被引：0

作者：

Gao, Lei ^{[1
]}

Durkin, Jeff ^{[1
]}

Hailu, Atakelty ^{[1
]}

机构：

[1] Univ Western Australia, Sch Agr & Resource Econ, 35 Stirling Highway, Crawley, WA 6009, Australia

来源：

ICAART 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2: AGENTS | 2010年

关键词：

Agent-based model; Random utility model; Recreational fishing; Management strategy Evaluation; Economic surplus; Non-market valuation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：200 / 205

页数：6

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