期刊
JOURNAL OF ENVIRONMENTAL MANAGEMENT
卷 130, 期 -, 页码 1-9出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2013.08.033
关键词
Forest fires; System dynamics; Feedback; Simulation
资金
- National Science Foundation Graduate Research Fellowship
- grupo Portucel Soporcel
- European Regional Development Fund (ERDF) through the COMPETE Programme (operational programme for competitiveness)
- Portuguese Fundacao para a Ciencia e a Tecnologia (FCT, the Portuguese Foundation for Science and Technology)
- [Systems/MIT/FSE/0064/2009]
Forest fires are a serious management challenge in many regions, complicating the appropriate allocation to suppression and prevention efforts. Using a System Dynamics (SD) model, this paper explores how interactions between physical and political systems in forest fire management impact the effectiveness of different allocations. A core issue is that apparently sound management can have unintended consequences. An instinctive management response to periods of worsening fire severity is to increase fire suppression capacity, an approach with immediate appeal as it directly treats the symptom of devastating fires and appeases the public. However, the SD analysis indicates that a policy emphasizing suppression can degrade the long-run effectiveness of forest fire management. By crowding out efforts to preventative fuel removal, it exacerbates fuel loads and leads to greater fires, which further balloon suppression budgets. The business management literature refers to this problem as the firefighting trap, wherein focus on fixing problems diverts attention from preventing them, and thus leads to inferior outcomes. The paper illustrates these phenomena through a case study of Portugal, showing that a balanced approach to suppression and prevention efforts can mitigate the self-reinforcing consequences of this trap, and better manage long-term fire damages. These insights can help policymakers and fire managers better appreciate the interconnected systems in which their authorities reside and the dynamics that may undermine seemingly rational management decisions. (C) 2013 Elsevier Ltd. All rights reserved.
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