Spatial and temporal assessment of responder exposure to snag hazards in post-fire environments

Abstract Researchers and managers increasingly recognize enterprise risk management as critical to addressing contemporary fire management challenges. Quantitative wildfire risk assessments contribute by parsing and mapping potentially contradictory positive and negative fire effects. However, these assessments disregard risks to fire responders because they only address social and ecological resources and assets. In this study, we begin to overcome this deficiency by using a novel modeling approach that integrates remote sensing, field inventories, imputation-based vegetation modeling, and empirical models to quantify post-fire snag hazard in space and time. Snag hazard increased significantly immediately post-fire, with severe or extreme hazard conditions accounting for 47%, 83%, and 91% of areas burned at low, moderate and high-severity fire, respectively. Patch-size of severe or extreme hazard positively correlated with fire size, exceeding >20,000 ha (60% of our largest fire) 10-years post-fire when reburn becomes more likely. After 10 years, snag hazard declined rapidly as snags fell or fragmented, but severe or extreme hazard persisted for 20, 30 and 35 years in portions of the low, moderate and high-severity fire areas. Because forests are denser and wildfires burn with greater severity than historically, these hazardous conditions may represent novel management challenges where risk of injury or death to responders outweighs the benefits of directly engaging the fire. Mapping snag hazard with our methodology could improve situational awareness for both decision makers and fire responders as they mitigate risk during fire management. However, as more landscapes burn we anticipate increased responder exposure to extremely hazardous conditions, which may further entrench the wildfire paradox as fire managers weigh current response decisions with future challenges. Aligning land management objectives with wildfire management needs, in part by mapping responder exposure to snags and other hazards, could help overcome the wildfire paradox and produce desirable long-term outcomes. This research also demonstrates the importance of interdisciplinary collaboration to account for risk to all aspects of fire prone social-ecological systems as we learn to live with fire in rapidly changing environments.

[1]  Dave Calkin,et al.  Wildfires: Systemic changes required. , 2015, Science.

[2]  Scott L. Stephens,et al.  Changing spatial patterns of stand-replacing fire in California conifer forests , 2017 .

[3]  M. Harmon,et al.  Ecology of Coarse Woody Debris in Temperate Ecosystems , 1986 .

[4]  Nate G. McDowell,et al.  Multi-scale predictions of massive conifer mortality due to chronic temperature rise , 2016 .

[5]  Bret W. Butler,et al.  A LiDAR-based analysis of the effects of slope, vegetation density, and ground surface roughness on travel rates for wildland firefighter escape route mapping , 2017 .

[6]  J. D. Johnston Forest succession along a productivity gradient following fire exclusion , 2017 .

[7]  Carol Miller,et al.  Previous Fires Moderate Burn Severity of Subsequent Wildland Fires in Two Large Western US Wilderness Areas , 2013, Ecosystems.

[8]  J. W. Thomas,et al.  Wildlife habitats in managed forests--the Blue Mountains of Oregon and Washington , 1981 .

[9]  T. Spies,et al.  Cumulative effects of wildfires on forest dynamics in the eastern Cascade Mountains, USA. , 2018, Ecological applications : a publication of the Ecological Society of America.

[10]  Carol Miller,et al.  Wildland fire limits subsequent fire occurrence , 2016 .

[11]  Matthew P. Thompson,et al.  A Wildfire Risk Assessment Framework for Land and Resource Management , 2013 .

[12]  Brian J. Harvey,et al.  Evidence for declining forest resilience to wildfires under climate change. , 2018, Ecology letters.

[13]  Maggi Kelly,et al.  Interactions Among Wildland Fires in a Long-Established Sierra Nevada Natural Fire Area , 2009, Ecosystems.

[14]  T. Spies,et al.  Diversity in forest management to reduce wildfire losses: implications for resilience , 2017 .

[15]  Brandon M. Collins,et al.  Constraints on Mechanized Treatment Significantly Limit Mechanical Fuels Reduction Extent in the Sierra Nevada , 2015 .

[16]  Matthew P. Thompson,et al.  Getting Ahead of the Wildfire Problem: Quantifying and Mapping Management Challenges and Opportunities , 2016 .

[17]  C. Braak Canonical Correspondence Analysis: A New Eigenvector Technique for Multivariate Direct Gradient Analysis , 1986 .

[18]  H. Zald,et al.  Severe fire weather and intensive forest management increase fire severity in a multi-ownership landscape. , 2018, Ecological applications : a publication of the Ecological Society of America.

[19]  Matthew P. Thompson,et al.  An empirical machine learning method for predicting potential fire control locations for pre-fire planning and operational fire management , 2017 .

[20]  Thomas M. Quigley,et al.  Wildfire Risk and Hazard : Procedures for the First Approximation , 2022 .

[21]  Scott L. Stephens,et al.  Temperate and boreal forest mega‐fires: characteristics and challenges , 2014 .

[22]  Janet L. Ohmann,et al.  Predictive mapping of forest composition and structure with direct gradient analysis and nearest- neighbor imputation in coastal Oregon, U.S.A. , 2002 .

[23]  Warren B. Cohen,et al.  Mapping change of older forest with nearest-neighbor imputation and Landsat time-series , 2012 .

[24]  E. Keeling,et al.  Interactive effects of historical logging and fire exclusion on ponderosa pine forest structure in the northern Rockies. , 2010, Ecological Applications.

[25]  Carl N. Skinner,et al.  Basic principles of forest fuel reduction treatments , 2005 .

[26]  R. T. Belote,et al.  Latent resilience in ponderosa pine forest: effects of resumed frequent fire. , 2013, Ecological applications : a publication of the Ecological Society of America.

[27]  Matthew P. Thompson,et al.  A national approach for integrating wildfire simulation modeling into Wildland Urban Interface risk assessments within the United States , 2013 .

[28]  A. Gill,et al.  Learning to coexist with wildfire , 2014, Nature.

[29]  Matthew P. Thompson,et al.  Risk management: Core principles and practices, and their relevance to wildland fire , 2016 .

[30]  Bret W. Butler,et al.  Wildland firefighter safety zones: a review of past science and summary of future needs , 2014 .

[31]  D. H. Knight,et al.  Coarse Woody Debris following Fire and Logging in Wyoming Lodgepole Pine Forests , 2000, Ecosystems.

[32]  W. Cohen,et al.  Northwest Forest Plan—the first 10 years (1994-2003): status and trend of late-successional and old-growth forest. , 2005 .

[33]  Matthew P. Thompson,et al.  Quantifying the influence of previously burned areas on suppression effectiveness and avoided exposure: A case study of the Las Conchas Fire , 2016 .

[34]  Matthew P. Thompson,et al.  Negative consequences of positive feedbacks in US wildfire management , 2015, Forest Ecosystems.

[35]  T. Spies,et al.  Mixed-conifer forests of central Oregon: effects of logging and fire exclusion vary with environment. , 2014, Ecological applications : a publication of the Ecological Society of America.

[36]  J. Bailey,et al.  Temporal dynamics and decay of coarse wood in early seral habitats of dry-mixed conifer forests in Oregon’s Eastern Cascades , 2012 .

[37]  David E. Calkin,et al.  External human factors in incident management team decisionmaking and their effect on large fire suppression expenditures , 2008 .

[38]  Jerry F. Franklin,et al.  Tree Death as an Ecological Process , 1987 .

[39]  Grant J. Williamson,et al.  Climate-induced variations in global wildfire danger from 1979 to 2013 , 2015, Nature Communications.

[40]  J. Bailey,et al.  Tree mortality and structural change following mixed-severity fire in Pseudotsuga forests of Oregon’s western Cascades, USA , 2016 .

[41]  J. Hicke,et al.  Spatiotemporal patterns of observed bark beetle-caused tree mortality in British Columbia and the western United States. , 2012, Ecological applications : a publication of the Ecological Society of America.

[42]  Jay D. Miller,et al.  Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR) , 2007 .

[43]  Zhiqiang Yang,et al.  Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms , 2010 .

[44]  Brett A. Morrissette,et al.  Restoring historical forest conditions in a diverse inland Pacific Northwest landscape , 2018, Ecosphere.

[45]  Evelyn L. Bull,et al.  Trees and logs Important to wildlife In the Interior Columbia River Basin , 1997 .

[46]  S. Gordon,et al.  Northwest Forest Plan The First 20 Years (1994-2013): Watershed Condition Status and Trend , 2012 .

[47]  Carol Miller,et al.  Wildland fire as a self-regulating mechanism: the role of previous burns and weather in limiting fire progression. , 2015, Ecological applications : a publication of the Ecological Society of America.

[48]  D. Lindenmayer,et al.  The forgotten stage of forest succession: early-successional ecosystems on forest sites , 2011 .

[49]  Francisco Rodríguez y Silva,et al.  A methodology for determining operational priorities for prevention and suppression of wildland fires , 2014 .

[50]  O. Kitao,et al.  I: METHODOLOGY , 2003, Deception: Counterdeception and Counterintelligence.

[51]  Matthew P. Thompson,et al.  Rethinking the Wildland Fire Management System , 2018, Journal of Forestry.

[52]  T. Max,et al.  The Pacific Northwest Region vegetation and inventory monitoring system , 1996 .

[53]  A. P. Williams,et al.  Impact of anthropogenic climate change on wildfire across western US forests , 2016, Proceedings of the National Academy of Sciences.

[54]  S. Hood,et al.  Persistence of fire-killed conifer snags in California, USA , 2019, Fire Ecology.

[55]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[56]  Matthew P. Thompson,et al.  Towards enhanced risk management: Planning, decision making and monitoring of US wildfire response , 2017 .

[57]  Matthew P. Thompson,et al.  A framework for developing safe and effective large-fire response in a new fire management paradigm , 2017 .

[58]  J. Bailey,et al.  Modeling the direct effects of salvage logging on long-term temporal fuel dynamics in dry-mixed conifer forests , 2015 .

[59]  Michael J. Jenkins,et al.  Wildfire’s resistance to control in mountain pine beetle-attacked lodgepole pine forests , 2013 .

[60]  Matthew P. Thompson,et al.  Uncertainty and risk in wildland fire management: a review. , 2011, Journal of environmental management.

[61]  Robert E. Kennedy,et al.  Contemporary patterns of fire extent and severity in forests of the Pacific Northwest, USA (1985–2010) , 2017 .

[62]  D. Bates,et al.  Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.

[63]  Mark A. Finney,et al.  Mapping forest vegetation for the western United States using modified random forests imputation of FIA forest plots , 2016 .