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Wildfire risk as a socioecological pathology

Citation

Fischer, AP and Spies, TA and Steelman, TA and Moseley, C and Johnson, BR and Bailey, JD and Ager, AA and Bourgeron, P and Charnley, S and Collins, BM and Kline, JD and Leahy, JE and Littell, JS and Millington, JDA and Nielsen-Pincus, M and Olsen, CS and Paveglio, TB and Roos, CI and Steen-Adams, MM and Stevens, FR and Vukomanovic, J and White, EM and Bowman, DMJS, Wildfire risk as a socioecological pathology, Frontiers in Ecology and the Environment, 14, (5) pp. 276-284. ISSN 1540-9295 (2016) [Refereed Article]


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Copyright Statement

Copyright 2016 by the Ecological Society of America

DOI: doi:10.1002/fee.1283

Abstract

Wildfire risk in temperate forests has become a nearly intractable problem that can be characterized as a socioecological "pathology": that is, a set of complex and problematic interactions among social and ecological systems across multiple spatial and temporal scales. Assessments of wildfire risk could benefit from recognizing and accounting for these interactions in terms of socioecological systems, also known as coupled natural and human systems (CNHS). We characterize the primary social and ecological dimensions of the wildfire risk pathology, paying particular attention to the governance system around wildfire risk, and suggest strategies to mitigate the pathology through innovative planning approaches, analytical tools, and policies. We caution that even with a clear understanding of the problem and possible solutions, the system by which human actors govern fire-prone forests may evolve incrementally in imperfect ways and can be expected to resist change even as we learn better ways to manage CNHS.

Item Details

Item Type:Refereed Article
Keywords:fire
Research Division:Biological Sciences
Research Group:Ecology
Research Field:Terrestrial Ecology
Objective Division:Environment
Objective Group:Ecosystem Assessment and Management
Objective Field:Ecosystem Assessment and Management of Forest and Woodlands Environments
Author:Bowman, DMJS (Professor David Bowman)
ID Code:113186
Year Published:2016
Web of Science® Times Cited:11
Deposited By:Plant Science
Deposited On:2016-12-15
Last Modified:2017-11-01
Downloads:13 View Download Statistics

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