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The increase of wildfire disasters globally has highlighted the need to understand and mitigate human vulnerability to wildfire. In response, there has been a substantial uptick in efforts to characterize and quantify wildfire vulnerability. Such efforts have largely focused on quantifying potential wildfire exposure and frequently overlooked the individual and community vulnerability to wildfire. Here, we review the emergent literature on social vulnerability to wildfire by synthesizing factors related to exposure, sensitivity, and adaptive capacity that contribute to a population’s or community’s overall vulnerability to wildfires. We identify how those factors subsequently affect an individual’s or community’s agency to enact change, and highlight that many of the current paradigms for reducing wildfire vulnerability fail to acknowledge and address the importance of inequalities that create differential vulnerability. We suggest that paying attention to the systems and conditions that give rise to such vulnerability can ameliorate these shortcomings by centering solutions which address adaptation equity rather than landscape outcomes.
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A Comprehensive and Spatially Explicit Regional Vulnerability Assessment of the Forest Industry to Climate Change
Abstract We conducted a spatially explicit vulnerability assessment of the forest industry in Maine, USA, to climate change in an effort to (1) advance a spatial framework for assessing forest industry vulnerability and (2) increase our understanding of Maine’s specific vulnerabilities to climate change in order to guide decision-making. We applied a bottom-up indicator approach to evaluate exposure, sensitivity, and adaptive capacity to climate change using both biophysical and social indicators, largely driven by participatory processes. Our approach enabled us to synthesize and aggregate indicators of regional importance to evaluate vulnerability, allowing us to simultaneously examine combinations of potential changes. We found that each Maine county had its own unique combination of exposure, sensitivity, and adaptive capacity indicators, with overall vulnerability highest in the rural northern and western parts of the state, where forest industry activities are most prevalent. However, results also indicate that although increased stress from climate-related changes can negatively affect Maine’s forest via high exposure, reduced sensitivities and increased adaptive capacity have the potential to largely decrease overall vulnerability in many parts of the state.
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- Award ID(s):
- 1828466
- PAR ID:
- 10363442
- Publisher / Repository:
- Springer Science + Business Media
- Date Published:
- Journal Name:
- Journal of Forestry
- Volume:
- 120
- Issue:
- 2
- ISSN:
- 0022-1201
- Format(s):
- Medium: X Size: p. 170-185
- Size(s):
- p. 170-185
- Sponsoring Org:
- National Science Foundation
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