Forest fire management in Portugal : developing system insights through models of social and physical dynamics

Thesis (S.M. in Technology and Policy)-- Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2012.

Bibliographic Details
Main Author: Collins, Ross D. (Ross Daniel)
Other Authors: Richard de Neufville.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2012
Subjects:
Online Access:http://hdl.handle.net/1721.1/72651
_version_ 1811070581541437440
author Collins, Ross D. (Ross Daniel)
author2 Richard de Neufville.
author_facet Richard de Neufville.
Collins, Ross D. (Ross Daniel)
author_sort Collins, Ross D. (Ross Daniel)
collection MIT
description Thesis (S.M. in Technology and Policy)-- Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2012.
first_indexed 2024-09-23T08:38:19Z
format Thesis
id mit-1721.1/72651
institution Massachusetts Institute of Technology
language eng
last_indexed 2024-09-23T08:38:19Z
publishDate 2012
publisher Massachusetts Institute of Technology
record_format dspace
spelling mit-1721.1/726512022-01-31T20:03:48Z Forest fire management in Portugal : developing system insights through models of social and physical dynamics Collins, Ross D. (Ross Daniel) Richard de Neufville. Massachusetts Institute of Technology. Technology and Policy Program. Massachusetts Institute of Technology. Engineering Systems Division Technology and Policy Program Engineering Systems Division. Technology and Policy Program. Thesis (S.M. in Technology and Policy)-- Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2012. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student submitted PDF version of thesis. Includes bibliographical references (p. 122-135). Managing forest fires is a serious national problem in Portugal. Burned area has increased steadily over the past several decades, with particularly devastating years in 2003 and 2005. Ignitions also spike dramatically in summer, which greatly strains firefighting resources and leads to fires that are insufficiently extinguished and later may rekindle. The response of policymakers and fire managers to these problems has largely been to increase fire suppression capacity and technology deployment. This research asks, what are the side effects or unintended consequences of policies dedicated to large and aggressive suppression forces? Much of the previous work in forest fire management focuses on narrowly-defined, static problems solved using optimization analysis. This research uses dynamic analysis, specifically System Dynamics, to explore how self-regulating feedback loops affect the outcomes of forest fire management decisions over time. Two models are developed. The strategic model explores the dynamic between suppression and prevention expenditure and its effect on long-term burned area. The operational model explores the dynamics through which rekindled fires occur. The results from both models show that interactions between relevant social and physical systems, in the form of public or institutional pressure, can force aggressive suppression decisions into practice. Furthermore, strict adherence to these policies can trap each system in a state of long-run worse behavior due to the overwhelming effects of negative feedback loops. Policy recommendations based on the results, and informed by an in-depth analysis of relevant stakeholders and impediments to implementation, are also presented. by Ross D. Collins. S.M.in Technology and Policy 2012-09-11T17:33:06Z 2012-09-11T17:33:06Z 2012 2012 Thesis http://hdl.handle.net/1721.1/72651 808381900 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 166 p. application/pdf e-po--- Massachusetts Institute of Technology
spellingShingle Engineering Systems Division.
Technology and Policy Program.
Collins, Ross D. (Ross Daniel)
Forest fire management in Portugal : developing system insights through models of social and physical dynamics
title Forest fire management in Portugal : developing system insights through models of social and physical dynamics
title_full Forest fire management in Portugal : developing system insights through models of social and physical dynamics
title_fullStr Forest fire management in Portugal : developing system insights through models of social and physical dynamics
title_full_unstemmed Forest fire management in Portugal : developing system insights through models of social and physical dynamics
title_short Forest fire management in Portugal : developing system insights through models of social and physical dynamics
title_sort forest fire management in portugal developing system insights through models of social and physical dynamics
topic Engineering Systems Division.
Technology and Policy Program.
url http://hdl.handle.net/1721.1/72651
work_keys_str_mv AT collinsrossdrossdaniel forestfiremanagementinportugaldevelopingsysteminsightsthroughmodelsofsocialandphysicaldynamics