Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
REVIEW (Open Access)

A review of US wildland firefighter entrapments: trends, important environmental factors and research needs

Wesley G. Page A B , Patrick H. Freeborn A , Bret W. Butler A and W. Matt Jolly A
+ Author Affiliations
- Author Affiliations

A USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 Highway 10 W, Missoula, MT 59808, USA.

B Corresponding author. Email: wesleygpage@fs.fed.us

International Journal of Wildland Fire 28(8) 551-569 https://doi.org/10.1071/WF19022
Submitted: 16 February 2019  Accepted: 21 May 2019   Published: 25 June 2019

Journal Compilation © IAWF 2019 Open Access CC BY-NC-ND

Abstract

Wildland firefighters in the United States are exposed to a variety of hazards while performing their jobs. Although vehicle accidents and aircraft mishaps claim the most lives, situations where firefighters are caught in a life-threatening, fire behaviour-related event (i.e. an entrapment) constitute a considerable danger because each instance can affect many individuals. In an attempt to advance our understanding of the causes of firefighter entrapments, a review of the pertinent literature and a synthesis of existing data were undertaken. Examination of the historical literature indicated that entrapment potential peaks when fire behaviour rapidly deviates from an assumed trajectory, becomes extreme and compromises the use of escape routes, safety zones or both. Additionally, despite the numerous safety guidelines that have been developed as a result of analysing past entrapments, we found issues with the way factual information from these incidents is reported, recorded and stored that make quantitative investigations difficult. To address this, a fire entrapment database was assembled that revealed when details about the location and time of entrapments are included in analyses, it becomes possible to ascertain trends in space and time and assess the relative influence of various environmental variables on the likelihood of an entrapment. Several research needs were also identified, which highlight the necessity for improvements in both fundamental knowledge and the tools used to disseminate that knowledge.

Additional keywords: burnover, entrapment data, entrapment investigation, fire behaviour, fire environment, firefighter fatalities.

Introduction

Wildland firefighters in the United States (US) are employed primarily by federal, state and tribal land-management agencies to provide a safe and effective response to unplanned wildland fire ignitions (USDI, USDA 2014). Firefighters are typically arranged into crews and teams based on the type of specialised training they receive, including handcrews, engines, helitack and smokejumpers, and can be deployed both locally and nationally across 10 geographic areas through a dispatch system operated by the National Interagency Coordination Center (available at https://www.nifc.gov/nicc/ (accessed 23 April 2019)). Although current US fire policy allows a flexible response to wildland fires, the majority of fires are fully suppressed despite positive feedbacks between future wildfire risk and suppression response – often referred to as the wildfire paradox (Silva et al. 2010; Calkin et al. 2014, 2015). These positive feedbacks place increased demand on firefighters to respond to and engage with an ever-increasing number of large wildfires (Calkin et al. 2005; Nagy et al. 2018).

The link between firefighter safety and an understanding of fire behaviour has been conveyed by several firefighters and fire researchers. For example, Barrows (1951) described the need for a working knowledge of fire behaviour so that firefighters can anticipate changes and thereby reduce risk. Moore et al. (1957) recommended the development of fire behaviour experts in order to better identify indicators of change that precede unusual or unexpected fire behaviour. Likewise, Bjornsen et al. (1967) argued for a special emphasis on research to understand the causes of blow-up or erratic fire behaviour. These early analyses recognised the threat to firefighter safety posed by unexpected changes in fire behaviour based on the identification of common characteristics among fires that had a fatality. Learning from past firefighter fatalities is a goal of the wildland fire community (e.g. TriData Corporation 1998) and has been employed on numerous occasions to improve firefighter safety, primarily through the development of guidelines or checklists (Ziegler 2007; Alexander and Thorburn 2015).

When firefighters are affected by a life-threatening, fire behaviour-related event, an entrapment has occurred (National Wildfire Coordinating Group 2014; Page and Freeborn 2019). These events mark specific points in time and space that are both unique and rare. The rarity of entrapments is likely related to the fact that during fires with mild fire behaviour (i.e. low rates of spread), firefighters usually have sufficient time to react to unanticipated changes and adjust their position, tactics or strategy. Typically, only during the infrequent alignment of fire environment conditions that promote high rates of spread (i.e. extreme fire behaviour) and large fire growth (Strauss et al. 1989; Andrews et al. 2003) do firefighters lack the time required to adapt or escape, potentially owing to a combination of the unexpected nature of the increase in fire behaviour (Moore et al. 1957; Bjornsen et al. 1967; Bishop 2007) and the inability to quickly utilise escape routes (Beighley 1995; Fryer et al. 2013). Therefore, detailed analysis of the circumstances and factors that influence the likelihood of an entrapment will presumably reveal important information about the conditions under which extreme fire behaviour develops as well as insights into how firefighters can anticipate their occurrence. Recent reviews by Werth et al. (2011, 2016) provide details about the individual elements of the fire environment that contribute to extreme fire behaviour.

Here, we review the literature on the subject of firefighter safety with a focus on the research and data related to US wildland firefighter entrapments. We follow the entrapment definition described by Page and Freeborn (2019) and focus the discussion and analysis on entrapments where there was a burnover that may or may not have involved a fatality. Although there has been significant and increasing emphasis on how human factors are linked to firefighter safety, the present review mainly contains reference to the literature that discusses how various environmental factors affect the likelihood of an entrapment. The specific topics discussed include:

  1. A summary of the findings from important historical reviews associated with past firefighter entrapments that produced several key safety guidelines and protocols,

  2. A discussion of previously identified environmental characteristics commonly associated with firefighter entrapments,

  3. A critique of the entrapment investigation process, including how the relevant findings and data are reported and stored,

  4. Current spatial and temporal trends of entrapment incidents based on a newly compiled firefighter entrapment database, with a brief analysis of some important environmental factors that affect entrapment potential and how to use that information to predict or project future entrapment hazard, and

  5. A summary of research needs to improve knowledge, tool development and data collection and storage procedures.

The ultimate goal of the review is to provide a synthesis of the relevant US-focused literature in order to identify the research needed to fill critical gaps in data collection, data storage and accessibility, technological capacity and fire behaviour knowledge to improve firefighter safety.


Literature review

Important historical reviews

With few exceptions, major systemic reviews have been initiated following either single fires or groups of fires that had a high number of firefighter fatalities. Some of these reviews produced recommendations that have led to changes in operations and training (Moore et al. 1957; Bjornsen et al. 1967) and policy (USDA, USDI 1995) as well as culture (TriData Corporation 1996, 1997, 1998). Additionally, many of the analyses have formed the basis of several training aids, guidelines and safety protocols (Table 1), which generally have similar word content (Fig. 1). An appreciation of these historical reviews and their impact on wildland firefighter safety provides both context to the current discussion and an understanding of their limitations. Note that the descriptions of the historical reviews in the following paragraphs only reference a subset of the guidelines and protocols listed in Table 1. For more detailed information, readers are encouraged to consult the source reference for each guideline and protocol listed.


Table 1.  Common US wildland firefighter safety protocols, guidelines and their origins
Click to zoom


Fig. 1.  Visual representation of word and phrase frequency in the form of a word cloud based on the text that makes up the wildland firefighter guidelines and safety protocols listed in Table 1 (excluding the guideline titles). Larger words occurred more frequently and those words with the same colour occurred in similar proportions. The wordcloud package in R (R Core Team 2015; Fellows 2018) was used to construct the word cloud after removing common words such as ‘the’ and ‘we’.
F1

In 1957, the US Forest Service released a report (i.e. Moore et al. 1957) detailing recommendations to reduce the likelihood of wildland firefighter fatalities based on an analysis of 16 entrapment incidents that occurred between 1937 and 1956. The fires analysed included some well-known incidents, including the Blackwater (Brown 1937), Mann Gulch (Rothermel 1993), Rattlesnake (Cliff et al. 1953) and Inaja fires (USDA Forest Service 1957). Moore et al. (1957) noted that among the fatality fires, the ‘blow-up’ or erratic fire behaviour observed before the entrapment was unexpected by those entrapped and occurred in flashy fuels when the fire danger was critical. Within this context, flashy fuels are considered to be the fine (i.e. diameter <6 mm), highly combustible fuels that readily ignite when dry (National Wildfire Coordinating Group 2014). Their analysis also identified 11 contributing factors that were similar among the fires, which were summarised into the 10 standard firefighting orders (McArdle 1957). The fire orders were adopted by the US Forest Service and have since become an integral part of wildland firefighter training and standard operating procedures. The format and specific content of the fire orders have changed slightly over time but they are currently organised into three groups based on their importance: a fire behaviour group, a fireline safety group and an organisational control group (Ziegler 2007).

Following the 12 firefighter fatalities in 1966 on the Loop Fire in southern California (Countryman et al. 1968), another set of recommendations to improve firefighter safety was provided by Bjornsen et al. (1967). A list of 13 principal factors common among eight major fatality fires was compiled, which had substantial similarities to the list provided by Moore et al. (1957). Bjornsen et al. (1967) suggested that the majority of fatalities were related to an unexpected increase in fire behaviour associated with flashy fuels, critical fire danger and specific topographic configurations called ‘chimneys’. Unique among the items in the list developed by Bjornsen et al. (1967) was the recognition of the dangers associated with downhill line construction. Five recommendations on how to correctly locate and construct downhill fireline were provided based on an analysis of three of the fatality fires (Inaja, Silver Creek and Loop Fires), which are still in use today (National Wildfire Coordinating Group 2018).

Another analysis of fires between 1926 and 1976 where 222 perished was used to develop five common denominators on fatality fires and four common denominators on fatal and near-fatal fires (Wilson 1977). The denominators of fire behaviour on fatal and near-fatal fires indicate that the most dangerous conditions occur: (1) on small fires or quiet areas of large fires; (2) in light fuels; (3) when there is an unexpected shift in wind speed and direction; and (4) when fire runs uphill. These common denominators are frequently discussed in firefighter training and are included in field guides that are meant for personnel who engage in fireline duties (e.g. National Wildfire Coordinating Group 2018). Similarly, Mangan (2007) proposed four new common denominators based on his analysis of firefighter fatalities between 1990 and 2006, which include several non-entrapment-related factors associated with aircraft and vehicle accidents as well as personal fitness.

Again, following a series of fatality fires in the late 1970s, the National Wildfire Coordinating Group established a task force to identify potential commonalities (National Wildfire Coordinating Group 1980). The task force recognised the repeating pattern of similarities among fatality fires and noted that part of the problem was associated with ‘…incomplete implementation of previous studies’ recommendations’. They suggested that closely monitoring local weather and transmitting that information to line personnel should reduce uncertainty and the risk of entrapment. One interesting finding was the explicit recognition that wildland firefighting should not involve the exposure of firefighters to life-threatening situations.

Despite the widespread use of guidelines produced by distilling the commonalties among past fatality fires, there has been some critical discussion in regards to the way in which they have been presented (Steele and Krebs 2000; Braun et al. 2001; Brauneis 2002) and their current relevance (Holmstrom 2016). Some firefighters and fire researchers have suggested that simplifying much of the information presented in these guidelines could refocus attention onto what personal experience has shown to be the most important elements. For example, Gleason (1991) proposed adopting a system for operational safety that focused on four key elements, namely Lookout(s), Communication(s), Escape Routes and Safety Zone(s) (i.e. LCES). Additionally, Alexander and Thorburn (2015) suggested the addition of an ‘A’ for Anchor point(s), leading to the acronym LACES in order to reinforce the importance of an anchor point(s) on minimising the possibility of an entrapment. Furthermore, Putnam (2002) proposed a new set of 10 standard fire orders based on personal experience and a psychological analysis that emphasised situational awareness, taking action, re-evaluation, knowing when to disengage and accountability.

Common environmental characteristics

The examination of the historical reviews revealed that those elements of the fire environment that can change quickly across space or through time and lead to rapid increases in fire behaviour, sometimes referred to as ‘blow-up’ (Arnold and Buck 1954) or ‘eruptive’ (Viegas 2006) fire behaviour, are particularly important to firefighter safety. Although each entrapment incident has unique elements, they usually share some common environmental characteristics, including light flashy fuels in brush or grass fuel types, changes in wind speed and/or direction and steep slopes in complex topography (Fig. 2; Wilson 1977; Bishop 2007). A significant amount of research has described either the direct importance of these elements on firefighter safety or their indirect effects on fire behaviour. A brief summary of findings from mainly US-based research is described below.


Fig. 2.  Example characteristics of the fire environment (top to bottom) that promotes rapid changes in fire behaviour (left to right).
Click to zoom

Fuel types composed primarily of vertically oriented small-diameter fine fuels (i.e. light fuels) such as grass or brush are known to be highly flammable and susceptible to rapid increases in spread rate and intensity (Countryman 1974; Saura-Mas et al. 2010; Simpson et al. 2016). Both empirical evidence (Cheney et al. 1993; Cheney and Gould 1995) and mathematical models (Rothermel 1972; Viegas 2006) indicate that rapid increases in spread rate and intensity are possible in light fuels owing to their high surface area-to-volume ratios and fuelbed porosity (e.g. Countryman and Philpot 1970), which decreases drying time and increases the rate of burning relative to larger-diameter ‘heavy’ fuels (Byram 1959). Additionally, changes in fuel type that occur over space can, owing to the effects of local climate and topography, vary over small spatial scales and lead to rapid changes in fire behaviour. For example, variations in aspect within complex terrain can affect whether a fire burns in a timber rather than grass fuel type (Holland and Steyn 1975). Such a change in fuel type, from understorey timber litter to grass, could potentially result in a rapid and potentially unexpected increase in rate of spread (Bishop 2007).

Increases in wind speed and changes in wind direction produced by cold fronts, convective thunderstorms and foehn winds have also been shown to affect firefighter safety (Schroeder and Buck 1970; Cheney et al. 2001; Lahaye et al. 2018a, 2018b). This is due to the effects of wind speed on fire behaviour (Rothermel 1972; Catchpole et al. 1998), where depending on fuel type, rates of spread can increase quite dramatically with corresponding increases in wind speed (Sullivan 2009; Andrews et al. 2013). Additionally, a sudden increase in head fire width associated with a wind direction change can lead to a rapid increase in fire spread rate and intensity in the area downwind of the fire front, also known as the ‘dead-man zone’ (Cheney and Gould 1995; Cheney et al. 2001). The potential consequences of a rapid increase in wind speed and change in wind direction have recently been demonstrated by the death of 19 firefighters during the 2013 fire season on the Yarnell Hill Fire in Arizona, USA (Yarnell Hill Fire Investigation Report 2013). Outflow winds from a nearby thunderstorm rapidly changed the direction and speed of the fire, which produced a fire run that overtook the firefighters with rates of spread between 270 and 320 m min−1 and flame lengths of 18–24 m (Alexander et al. 2016). Unfortunately, most numerical weather prediction (NWP) models and the forecasts partially based on them generally have low skill, in terms of point forecasts, for wind speed and direction changes associated with convectively driven thunderstorms (Done et al. 2004; Page et al. 2018), except when lead times are within 1–2 h (Johnson et al. 2014). However, bias-corrected and optimised NWP models used in ensembles generally have good skill in forecasting the approach and passage of cold fronts (Ma et al. 2010; Sinclair et al. 2012; Young and Hewson 2012), but forecast skill may be region- and storm-dependent owing to several factors (Schultz 2005; Shafer and Steenburgh 2008). Likewise, some foehn wind events can generally be anticipated several hours to days in advance (e.g. Nauslar et al. 2018), but this forecast skill also probably varies regionally.

In areas of complex topography, factors such as spotting or slope reversals (Bishop 2007) also increase the danger to firefighters owing to the effects of slope steepness on fire behaviour (e.g. Van Wagner 1977; Butler et al. 2007) and an increased possibility of surprise as these phenomena can be difficult to predict. Steep slopes that are prone to flame attachment (i.e. slope steepness >24°) are particularly dangerous to firefighters (Sharples et al. 2010; Lahaye et al. 2018c; Page and Butler 2018) owing to the rapid increase in spread rate caused by enhanced convective and radiant heating to unburned fuels (Rothermel 1985; Gallacher et al. 2018). Additionally, if firefighters are surprised by specific fire runs on steep slopes, the potential for successful escape is further hampered by slower travel rates (Baxter et al. 2004; Campbell et al. 2017, 2019) and the requirement for larger safety zones (Butler 2014a). These topographic factors lead to an increase in both the likelihood of an entrapment and the probability of a fatality during an entrapment (Viegas and Simeoni 2011; Page and Butler 2017, 2018). There are several examples of past extreme fire behaviour events that resulted in fatalities that were at least partially attributed to rapid increases in fire behaviour associated with steep slopes, including the Mann Gulch (Rothermel 1993), Battlement Creek (Wilson et al. 1976) and South Canyon (Butler et al. 1998) fires.


Entrapment reporting

Investigation process

Much like other organisations involved in high-risk industries that are prone to the loss of life, such as medicine (Leape 1994) and air transportation (Haunschild and Sullivan 2002), US wildland fire management agencies have an obligation to investigate the sequence of events and surrounding circumstances that contributed to the occurrence of an accidental injury or fatality. Most wildland fire management agencies have specific criteria for determining whether an entrapment requires an investigation and what the purpose and scope of the investigation should be, which are usually detailed in various legal statues and agency directives (e.g. Bureau of Land Management 2003; Whitlock and Wolf 2005; Beitia et al. 2013). Although descriptions of each organisation-specific process are beyond the scope of the current discussion, the general processes do have substantial similarities.

Once the agency with jurisdiction decides that an official investigation is appropriate, an investigation team composed of a designated leader along with several technical specialists, one of which is usually a fire behaviour specialist, is formed. After the team has convened, the investigation process begins by gathering and compiling evidence, such as witness statements, physical evidence and a chronology of events. The team is then tasked with producing a report that details the evidence gathered as well as the various causal and contributing factors, followed by a series of recommendations that ‘…are reasonable courses of action, based on the identified causal factors that have the best potential for preventing or reducing the risk of similar accidents’ (Whitlock and Wolf 2005, p. 59). As noted by the National Wildfire Coordinating Group (1980) and others (e.g. Gabbert 2019), rarely are the recommendations produced by these reports unique as they often are similar to those from previous investigations.

Report archiving and access

Several US-based systems currently store and disseminate information on wildland fire-related injuries and fatalities. Butler et al. (2017) reviewed five different surveillance systems that are used to report wildland firefighter fatalities, which include systems maintained by the US Fire Administration, the National Fire Protection Association, the US Bureau of Labour Statistics, National Institute for Occupational Safety and Health and the National Wildfire Coordinating Group. Butler et al. (2017) found that there was substantial overlap among the systems, with each having a slightly different focus based on criteria formally required by law and how each system deals with unique subsets of wildland firefighter tasks and duties (e.g. aviation). Despite the differences between systems, they tended to report similar annual summary statistics.

One of the most widely used databases to report injuries and fatalities is maintained by the Risk Management Committee of the National Wildfire Coordinating Group. As opposed to the other reporting systems, this database is maintained exclusively for wildland firefighters engaged in direct support of wildland fire activities regardless of agency and includes not only incidents associated with fatalities but also other incidents that involved potentially life-threatening accidents. Publications called Safety Grams (available at https://www.nwcg.gov/committees/risk-management-committee-rmc-safety-grams (accessed 23 April 2019)) are released yearly, which describe basic information about each life-threatening incident that occurred during the previous year, including the approximate location, number of individuals involved and the type of incident. Within the database, entrapment incidents are usually labelled as ‘entrapments’ or ‘burnovers’.

Additional formal and informal systems are used to store information related to wildland firefighter fatalities and injuries in the US. The Wildland Fire Lessons Learned Center Incident Review Database (available at https://www.wildfirelessons.net/irdb (accessed 23 April 2019)) is a central repository that is continuously updated with publications that describe the circumstances related to incidents with injuries, fatalities or near-misses. The database also includes documents with information related to non-wildfire-related events such as prescribed-fire escapes and chainsaw operations. Entrapments within the database can be specifically queried by selecting the ‘entrapment’ and ‘burn injury’ incident types. Another system that tracks wildland firefighter fatalities is the Always Remember! website (available at https://wlfalwaysremember.org/ (accessed 23 April 2019)). The website is maintained by a group of volunteers who organise, collect and store information related to incidents that involved a wildland fire-related fatality, such as the name and date of incident, the incident location and a summary of the circumstances that led to the fatality. Entrapments can be identified by selecting ‘burnovers’ in the incident list.

Current limitations

Current reporting systems have several issues that inhibit efficient data utilisation. Either by law or practice, many of the systems store data related to the same incident, resulting in duplication, which is both inefficient and potentially confusing. As noted by Butler et al. (2017), some systems are required to track firefighter fatalities owing to various legal statutes, whereas others may not include fatalities associated with some specific tasks and duties. Having multiple reporting systems with different inclusion criteria makes it difficult to assess the quality and completeness of the datasets.

There are two wildland fire-specific systems that have the potential to fill the role as the primary repository for housing data related to entrapment injuries and fatalities, namely the National Wildfire Coordinating Group Safety Grams and the Wildland Fire Lessons Learned Center Incident Review Database. In their current form, each system has unique advantages and disadvantages that require the use of both to gather and compile adequate temporal, spatial and physical information associated with each incident. For example, the Safety Grams do not provide specific details regarding the time, exact location or environmental conditions associated with the reported incidents. Conversely, the Incident Review Database does have links to reports that contain details associated with entrapment incidents, but older incidents are less likely to have an official report, which results in a potential under-reporting bias. Furthermore, although many of the US agency-specific investigation guides do reinforce the importance of documenting the natural features at an entrapment site, it seems that in reality many of the details, such as the physical location of the entrapment site and the specific environmental conditions, either fail to be included in the final report or are included in such a manner as to greatly increase the difficulty of extracting the data. Page and Butler (in press) note that after reviewing over 200 entrapment investigation reports only a minority (~75) contained suitable information on both the fire environment (fuels, weather and topography) in and around the entrapment site and the size of the refuge area (i.e. physical dimensions) to adequately assess the influence of these factors on entrapment survivability.


Entrapment analysis

Fatality trends

The majority of reports summarising firefighter entrapments in the US have only presented data related to the number of fatalities through time. Specifically, summaries of the fatalities associated with firefighter entrapments have been published for the periods 1910–96 (National Wildfire Coordinating Group 1997), 1926–2012 (Cook 2013), 1976–99 (Munson and Mangan 2000), 1990–98 (Mangan 1999), 1990–2006 (Mangan 2007) and 2007–16 (National Wildfire Coordinating Group 2017a). All of these summaries have been at least partially based on the data compiled by the National Wildfire Coordinating Group and stored by the National Interagency Fire Center (2018) (Fig. 3).


Fig. 3.  Entrapment-related wildland firefighter fatalities in the continental US, 1926 to 2017. The corresponding number of incidents (top panel) and the distribution of annual fatalities (right panel) are also shown. The non-parametric Mann–Kendall test (Mann 1945; Kendall 1975) was used to identify the presence of significant monotonic trends. The value τ represents the Kendall rank correlation coefficient, i.e. the strength of the relationship, with the corresponding probability that the trend does not exist (P value). Data were compiled from National Interagency Fire Center (2018).
Click to zoom

Similar to the findings provided in all other published sources, there has been a downward trend in the annual number of entrapment-related firefighter fatalities in the US since 1926 (Fig. 3). Despite several peaks associated with high-fatality years, the annual number of fatalities has been dropping at a rate of ~0.4 (6%) per decade, although the trend is not quite significant (P value 0.157). Cook (2013) showed that the number of fatalities caused by entrapments dropped from a high of 6.2 per year between 1926 and 1956, when organised fire suppression began to mature, to 1.6 per year between 2004 and 2012. Similarly, the National Wildfire Coordinating Group (2017a) has documented decreases in entrapment-related fatalities from 4.3 per year between 1990 and 1998 to 2.8 per year between 2007 and 2016.

The annual number of entrapment-related fatalities indicates substantial variability from year to year (standard deviation 5.7, coefficient of variation 121%) even though the annual number of incidents remained fairly constant throughout the period (1926–2017) at approximately two per year (Fig. 3). The recurrence interval, or the average time between years that exceed a specific number of entrapment-related fatalities, suggests that high fatality years (i.e. ≥10 fatalities) have generally occurred every 6 to 7 years, whereas very high fatality years (i.e. ≥15 fatalities) occurred at an interval approximately two times longer, i.e. approximately every 15 years (Fig. 4).


Fig. 4.  Relationship between the total annual number of entrapment-related fatalities in the continental US between 1926 and 2017 with the corresponding recurrence interval or return time, i.e. the average time between years with at least a specific number of entrapment-related fatalities. The corresponding line of best fit was modelled based on the natural logarithm function.
F4

When the annual number of entrapment-related fatalities is viewed in relation to the annual number of fires and area burned, additional trends can be inferred. Unfortunately, owing to the lack of high-quality data on US fire activity for all fire sizes before 1992 (Short 2015), the current analysis is limited to years with the best data, 1992 to 2015 (Fig. 5; Short 2017). The analysis indicated that the highest fatality rate by area burned occurred in 2013 (~0.6 per 40 469 ha (100 000 acres) burned) owing to the 19 fatalities on the Yarnell Hill Fire (Yarnell Hill Fire Investigation Report 2013), with the lowest average rates found in the late 1990s and early 2000s. Since 1992, the average number of fatalities per 40 469 ha (100 000 acres) burned has decreased by ~0.01 (9%) per decade, which is marginally significant (P value 0.099). However, the fatality rates based on the yearly number of fires show little change, with an average of ~0.5 fatalities per 10 000 fires or 1 fatality every 20 000 fires (Fig. 5a). There has been a general decrease in the annual number of wildland fires in the US over the same time period, which accounts for the fatality rate remaining unchanged even though the total number of fatalities has been decreasing.


Fig. 5.  Entrapment-related wildland firefighter fatality rates in the continental US from 1992 to 2015 by (a) the number of fatalities per 10 000 fires; and (b) the number of fatalities per 40 469 ha (100 000 acres) burned. The non-parametric Mann–Kendall test (Mann 1945; Kendall 1975) was used to identify the presence of significant monotonic trends. The value τ represents the Kendall rank correlation coefficient, i.e. the strength of the relationship, with the corresponding probability that the trend does not exist (P value). Data were compiled based on number of fires and area burned from Short (2017) and fatalities per year provided by the National Interagency Fire Center (2018).
F5

All entrapment trends

Despite the valuable information provided by the previous entrapment summaries, they are missing key information related to non-fatal entrapments and other spatiotemporal data (e.g. time and location) that could be used to further our understanding of the factors that influence the likelihood of an entrapment. Here, we take the first steps to fill these gaps by merging information reported in the National Wildfire Coordinating Group Safety Grams, Wildland Fire Lessons Learned Incident Review database, the Always Remember! website and the National Institute for Occupational Safety and Health firefighter fatality investigation and prevention program. A database of firefighter entrapments, referred to as the Fire Sciences Laboratory Merged Entrapment Database (FiSL MED), has been assembled by the authors and made available online (see https://www.wfas.net/entrap/, accessed 17 April 2019). The database includes information on the location, date and approximate time (Greenwich Mean Time (GMT)), number of personnel involved, number of fatalities and location quality for entrapments that have occurred within the continental US since 1979. Location quality is currently classified into four categories: Estimated – an estimated location based on the description provided in the entrapment investigation; Fire start location – the location of the origin of the fire with the entrapment; Good – actual entrapment location; and Unavailable – no known location information. The database currently only extends back to 1979 as this marks the beginning of the availability of high-quality gridded weather data (i.e. Abatzoglou 2013) and other dynamic fire environment data, such as fuel type information derived from Landsat imagery (e.g. Kourtz 1977), that can be combined with the FiSL MED to provide consistent and reliable information about the fire environment at the date and location of each entrapment. As of November 2018, the database contains accurate spatial locations for 187 (55%) of the known entrapments, with the remaining entrapments currently limited to the reported location of the fire origin with the entrapment (32%), estimated based on written descriptions (9%) and those entrapments with no known location information or considered near misses (4%).

Those entrapments that occurred between 1987 and 2017 (i.e. 285) represent the period that encompasses the most overlap between existing entrapment reporting databases, thus minimising the potential for under-reporting bias. The data during this time period (see Table S1, online supplementary material) reveal that entrapments in the US are highly clustered in space (Fig. 6) but not through time (Fig. 7a, b). When viewed over the entire period, there are no obvious trends in the annual number of entrapment incidents, which averaged approximately nine per year (Fig. 7b), but there does seem to be a declining trend in the average number of personnel entrapped per incident, decreasing at a rate of ~0.8 people (11%) per decade, although the trend is not statistically significant (P value 0.35; Fig. 7b). These findings are contrary to Loveless and Hernandez (2015), who reported a reduction in entrapment rates for wildland firefighters between 1994 and 2013. Although the reasons for the discrepancy are not fully known, it may be related to the fact that Loveless and Hernandez (2015) calculated entrapment rates using only the entrapments provided by the National Wildfire Coordinating Group, rather than all possible databases, and they used firefighter exposure indicators (i.e. number of fires and area burned from the National Interagency Fire Center) with known biases (Short 2015).


Fig. 6.  Locations of 285 entrapments where there was a burnover in the US from 1987 to 2017. Data available online (see https://www.wfas.net/entrap/, accessed 23 April 2019) and in the online supplementary material.
F6


Fig. 7.  Trends in all firefighter entrapments (i.e. with and without a fatality) where there was a burnover in the continental US between 1987 and 2017 by: (a) Geographic Area Coordination Center (GACC); and (b) the total number of entrapment incidents and the average number of personnel per entrapment incident. Note that North Ops and South Ops in (a) represent Northern and Southern California respectively. The non-parametric Mann–Kendall test (Mann 1945; Kendall 1975) was used to identify the presence of significant monotonic trends. The value τ represents the Kendall rank correlation coefficient, i.e. the strength of the relationship, with the corresponding probability that the trend does not exist (P value). The boundaries of the GACCs are shown in Fig. 6. Data available online (see https://www.wfas.net/entrap/, accessed 23 April 2019) and in the online supplementary material.
Click to zoom

The highly clustered nature of US wildland firefighter entrapments indicates large spatial variability. Following Fig. 6, the majority of entrapment incidents have occurred in the Southern Geographic Area (25%) followed by Southern California (South Ops) (16%) and the Great Basin (13%). When corrected for the size of each geographic region, the highest numbers of entrapments per square kilometre are found in Southern California (1.8 × 10−4 per km2), Northern California (North Ops) (1.5 × 10−4 per km2) and the Great Basin (0.53 × 10−4 per km2). The geographic regions with entrapments that affected the most firefighters were Southern California (356), the Southwest (261) and the Northern Rockies (178).

Important environmental factors

Previously, the efficacy of assessing the influence of different combinations of environmental variables on firefighter entrapments has been challenged by gaps and inconsistencies in the fuels, weather and topography data collected during the official investigation. For those incidents in which the dates and locations of entrapments are recorded, the fire environment at a particular entrapment site can be extracted from historical records of time-series and spatial layers of fuels, weather and topographic information (Rollins 2009; Abatzoglou 2013). Further, coupling the entrapment data with wildfire occurrence data (e.g. Short 2015, 2017) allows the fires with entrapments to be analysed within the context of the historical fires that have occurred within a given region.

A preliminary analysis of the effects of weather and slope steepness on wildland firefighter entrapments in the US was completed by spatially and temporally intersecting the FiSL MED with a 39-year gridded 4-km fire danger climatology (1979–2017) (Jolly et al. unpubl. data) and a historical fire occurrence database for the years 1992 to 2015 (Short 2017) on the day each fire started and at the reported fire origin. The analysis indicated that the effects of both weather and slope steepness on wildland firefighter entrapments in the US are quite dramatic as fires with entrapments originated more often on steeper slopes and during extreme fire weather, as represented by the product of the historical percentiles for the Energy Release Component (ERC′) and Burning Index (BI′) (Deeming et al. 1977) (Fig. 8). Fire danger indices, which combine multiple fire environment factors into a single index, have been shown to be reliable indicators of potential fire behaviour, particularly when the original values are rescaled to represent their historical percentiles (Andrews et al. 2003; Jolly and Freeborn 2017), and related to the number of fatalities during entrapments involving both firefighters and members of the public in Australia (Blanchi et al. 2014).


Fig. 8.  The influence of: (a) the product of the historical percentiles for the Energy Release Component (ERC′) and Burning Index (BI′); and (b) slope steepness on kernel density estimates for fires with and without an entrapment the occurred in the continental US between 1992 and 2015.
Click to zoom

Slope steepness and fire weather also had quite dramatic effects on entrapment rates for some geographic areas (Fig. 9). In the western US, fires that originated on steep slopes during historically dry and windy conditions between 1992 and 2015 were much more likely to have an entrapment, with maximum entrapment rates of 214, 108, 70, 62 and 54 entrapments per 10 000 fires within the Rocky Mountain, Southern California, Northern California, Southwest and Great Basin geographic areas respectively.


Fig. 9.  Entrapment rates (entrapments per 10 000 fires) for the nine Geographic Area Coordination Centers in the continental US between 1992 and 2015 by slope steepness and the product of the historical percentiles for the Energy Release Component (ERC′) and Burning Index (BI′).
Click to zoom

Potential future applications

Characterising the environmental conditions at the locations and times of entrapments allows the development and assessment of relationships that can be used to predict future entrapment potential. For example, spatially explicit data on both static (e.g. fuels and topography) and dynamic (e.g. fire weather) variables could be used with statistical models to produce maps that depict the locations and times when entrapment potential is high (Fig. 10). Various modelling tools and techniques could be leveraged to accomplish this, including maximum entropy (Phillips et al. 2006), logistic regression (Imai et al. 2008) and Random Forests (Breiman 2001). Page and Butler (2018) outlined a methodology to assess firefighter entrapment potential in Southern California using maximum entropy methods coupled with several common fuel and topographic variables measured at locations where there were past firefighter fatalities. Similar methods and outputs that also incorporate important dynamic information (e.g. fire weather) may eventually be useful sources of information for wildland firefighters as they build on situational awareness before and during fire suppression operations.


Fig. 10.  Schematic representation of an example process to assess and predict firefighter entrapment potential across space and through time. Important environmental data gathered at previous entrapment locations are coupled with statistical models to derive relationships that can be used to predict future entrapment potential. Typical environmental data include, Burning Index (BI), Energy Release Component (ERC), Normalised Difference Vegetation Index (NDVI) and Topographic Position Index (TPI). ROC, receiver operating characteristic curve.
Click to zoom


Summary of research needs

In order to improve firefighter safety and reduce the number of entrapments, there are several items that should be investigated to enhance both fundamental knowledge and the tools used to disseminate that knowledge.

Improved knowledge

With regards to the prediction of extreme fire behaviour, we echo the research needs presented by Werth et al. (2011, 2016), which include a better understanding of plume dynamics and their effects on spotting, improvements in measuring and representing complex fuel structure, more observations of wind flow in complex terrain to improve or create better wind models, an understanding of how ambient winds and topography affect fire interactions and additional research to quantify the effects of atmospheric stability on fire behaviour. We also acknowledge the recommendations by Butler (2014b) who suggested that additional research is needed to address: (1) how convective energy affects safety zone size; (2) how clothing affects the likelihood of burn injury; (3) better information on travel rates over complex terrain; (4) methods to integrate escape route travel times into safety zone assessments; (5) a better understanding of the effectiveness of bodies of water as safety zones; (6) knowledge as to how firefighters can determine if an area is survivable; and (7) methods firefighters can use to apply safety zone standards.

Additional recommendations based on the findings from this review include:

  • A better identification of the environmental factors that lead to rapid increases in fire rate of spread and intensity, including important interactions and their relative influences,

  • The development of models (statistical or otherwise) capable of anticipating the times and locations where rapid increases in spread rate and intensity are possible, and

  • Improved NWP models and forecasts that provide high-resolution, spatially explicit information on the timing and influence of thunderstorms and other high-wind events on near-surface wind speed and direction. Ideally, forecasts should have lead times of at least 12–16 h so that incident plans could be altered before the start of an operational period.

Tool development

Little is known about how the current suite of tools capable of identifying relevant changes in the fire environment (Table 2) or making fire behaviour predictions (Table 3) are used by wildland firefighters. Although some evidence suggests that at least some crews use these tools on a regular basis to make quick assessments of the fire environment, especially when using concepts like the margin of safety (Beighley 1995), it seems likely that many firefighters rely on more experience-based methods to assess potential fire behaviour (Alexander et al. 2016), particularly when the observed fire behaviour is considered unpredictable (Wall et al. 2018).


Table 2.  Examples of common tools or systems that provide updated fire environment information in the US
Click to zoom


Table 3.  US-based fire behaviour prediction tools and guidelines that: (1) can be used in a field setting with no or limited connectivity, (2) are capable of rapidly incorporating updates to the fire environment inputs, and (3) run much faster than real time
Note that most of the tools described are at least partially based on Rothermel’s (1972) surface fire spread model
T3

Based on the findings and recommendations from previous firefighter entrapment investigations, there is a need for tools that can help firefighters anticipate sudden changes in fire behaviour, establish plausible fire suppression goals and understand what strategies and tactics might be appropriate for a specific situation (Weick 2002). Therefore, relevant tools need to capture or incorporate small spatial and temporal changes in the fire environment and produce outputs that are both timely and accurate enough to portray the magnitude of the changes. Additionally, they need to be able to operate in the field with limited connectivity and have the ability to incorporate updated information over the course of an operational period. Examples include tools that provide firefighters information on the effects of terrain or forecast meteorological events (e.g. thunderstorms) on near-surface wind speed and direction at fine spatial scales (Forthofer et al. 2014a, 2014b) or tools that can couple detailed topographic information (slope, terrain shape) with crew and fire position to help anticipate topographically driven increases in fire rate of spread and intensity (Sharples et al. 2012).

In summary, to improve the ability of firefighters to make timely and risk-informed decisions and reduce the number of entrapments, we note that tools should:

  • Provide updated fire environment information, including fire position, at hourly or sub-hourly intervals (i.e. near real-time) so that firefighters can better anticipate the changes that lead to extreme fire behaviour (Wall et al. 2018), and

  • Have the ability to merge the updated information with firefighter and equipment locations, in order to develop a comprehensive system similar to the one proposed by Gabbert (2013), i.e. the ‘Holy Grail of firefighter safety’.

We note that many of the issues associated with inadequate tool use and availability, especially in regards to near real-time availability of fire position and firefighter locations, are currently being debated in the US Congress (S.2290 – Wildfire Management Technology and Advancement Act of 2018). The proposed legislation, among other things, would require US fire management agencies to develop protocols to utilise unmanned aircraft technologies to provide real-time maps of fire perimeter locations to firefighters.

Improved data collection and storage

In order to continue improving our knowledge of the factors that affect firefighter entrapments and produce better quality tools, a centralised data repository that contains updated information on the details associated with past incidents is needed. Although several storage systems already exist, each of these has significant shortcomings.

We have presented a database recently compiled by the authors that provides many of the details that have been excluded from previous storage systems. It is hoped that a similar database could be maintained and updated in a central location so that other researchers could access the data. Besides the information technology required to support such a system, we have identified additional data collection and quality issues that are needed to fully capture the details of each entrapment incident. Specifically, an unacceptably high proportion of investigative-type documents and reports of firefighter entrapments either fail to include or fail to adequately summarise the relevant environmental factors associated with each incident. In order to facilitate data collection and storage, we recommend that future entrapment investigations explicitly include summaries containing information on all of the relevant fire environment factors in a non-narrative format (Table 4).


Table 4.  Recommended minimum data collection and reporting standards for the relevant fire environment variables associated with firefighter entrapments that involve a burnover
It is suggested that the measurements be made at or immediately adjacent to the burnover location
Click to zoom


Conclusions

Wildland firefighting is an inherently dangerous occupation that is affected by a variety of environmental, political and social pressures. Although many firefighters have died over the years, progress has been made in training, policy and equipment standards that has resulted in a general decrease in the annual number of entrapment-related firefighter fatalities. However, when entrapments without fatalities are included in assessments, there appears to be little evidence to suggest they are also on a decreasing trend. Although past firefighter fatalities have inspired the development of several tools and guidelines that have been incorporated into firefighter training, firefighter entrapments continue to occur in part owing to the inability of firefighters to anticipate rapid increases in fire rate of spread and intensity that are caused by changes in the fire environment that happen over small spatial and temporal scales. We identified several research needs related to a lack of knowledge, inadequate tools and improved methods for data collection and storage. Prioritising these needs will be difficult as they all would no doubt improve firefighter safety either directly or indirectly.


Conflict of interest

The authors declare that they have no conflict of interest.



Acknowledgements

This work was supported by the Joint Fire Science Program (Project 18-S-01–1) and the National Fire Plan through the Washington Office of the Forest Service Deputy Chief for Research. We gratefully acknowledge review of the manuscript by M. E. Alexander, the Associate Editor and two anonymous reviewers.


References

Abatzoglou JT (2013) Development of gridded surface meteorological data for ecological applications and modelling. International Journal of Climatology 33, 121–131.
Development of gridded surface meteorological data for ecological applications and modelling.Crossref | GoogleScholarGoogle Scholar |

Albini FA (1976) Estimating wildfire behavior and effects. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-30. (Ogden, UT, USA) Available at https://www.fs.fed.us/rm/pubs_int/int_gtr030.pdf [Verified 24 April 2019]

Alexander ME, Thorburn WR (2015) LACES: adding an ‘A’ for anchor point(s) to the LCES wildland firefighter safety system. In ‘Current international perspectives on wildland fires, mankind and the environment’. (Eds B Leblon, ME Alexander) pp. 121–144. (Nova Science Publishers Inc.: Hauppauge, NY, USA)

Alexander ME, Taylor SW, Page WG (2016) Wildland firefighter safety and fire behavior prediction on the fireline. In ‘Proceedings of the 13th international wildland fire safety summit & 4th human dimensions wildland fire conference’, 20–24 April 2015, Missoula, MT, USA. pp. 44–58. (International Association of Wildland Fire: Missoula, MT, USA) Available at http://www.cfs.nrcan.gc.ca/pubwarehouse/pdfs/36659.pdf [Verified 24 April 2019]

Andrews PL (2012) Modeling wind adjustment factor and midflame wind speed for Rothermel’s surface fire spread model. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-266. (Fort Collins, CO, USA) Available at https://www.fs.fed.us/rm/pubs/rmrs_gtr266.pdf [Verified 24 April 2019]

Andrews PL, Rothermel RC (1982) Charts for interpreting wildland fire behavior characteristics. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-131. (Ogden, UT, USA) Available at https://www.fs.fed.us/rm/pubs_int/int_gtr131.pdf [Verified 24 April 2019]

Andrews PL, Loftsgaarden DO, Bradshaw LS (2003) Evaluation of fire danger rating indexes using logistic regression and percentile analysis. International Journal of Wildland Fire 12, 213–226.
Evaluation of fire danger rating indexes using logistic regression and percentile analysis.Crossref | GoogleScholarGoogle Scholar |

Andrews PL, Cruz MG, Rothermel RC (2013) Examination of the wind speed limit function in the Rothermel surface fire spread model. International Journal of Wildland Fire 22, 959–969.
Examination of the wind speed limit function in the Rothermel surface fire spread model.Crossref | GoogleScholarGoogle Scholar |

Arnold RK, Buck CC (1954) Blow-up fires – silviculture or weather problems? Journal of Forestry 52, 408–411.
Blow-up fires – silviculture or weather problems?Crossref | GoogleScholarGoogle Scholar |

Barrows JS (1951) Fire behavior in northern Rocky Mountain forests. USDA Forest Service, Northern Rocky Mountain Forest and Range Experiment Station, Station Paper No. 29. (Missoula, MT, USA) Available at https://www.fs.fed.us/rm/pubs_exp_for/priest_river/exp_for_priest_river_1951_barrows.pdf [Verified 24 April 2019]

Baxter GJ, Alexander ME, Dakin G (2004) Travel rates by Alberta wildland firefighters using escape routes on a moderately steep slope. In ‘Advantage’, Vol. 5, no. 25. (Forest Engineering Research Institute of Canada: Pointe Claire, QC, Canada) Available at http://training.nwcg.gov/pre-courses/S390/Advantage%20Article.pdf [Verified 24 April 2019]

Beighley M (1995) Beyond the safety zone: creating a margin of safety. Fire Management Today 55, 21–24.

Beitia J, Ryerson M, Jerome E, Chandler J, Quinn M, Fisher C, Montoya T, Smith D (2013) Interagency serious accident investigation guide. National Interagency Fire Center. (Boise, ID, USA) Available at https://www.nifc.gov/safety/safety_documents/SAI_Guide.pdf [Verified 24 April 2019]

Bishop J (2007) Technical background of the FireLine Assessment MEthod (FLAME). In ‘The fire environment – innovations, management, and policy; conference proceedings’, 26–30 March 2007, Destin, FL, USA. (Eds BW Butler, W Cook) USDA Forest Service, Rocky Mountain Research Station, Proceedings RMRS-46CD, pp. 27–74. (Fort Collins, CO, USA) Available at https://www.fs.fed.us/rm/pubs/rmrs_p046/rmrs_p046_027_074.pdf [Verified 24 April 2019]

Bjornsen R, Peterson J, Skufca T, Hardy M, Spaulding AE (1967) A plan to further reduce the chances of men being burned while fighting fires. USDA Forest Service. (Washington, DC, USA) Available at https://www.coloradofirecamp.com/fire-origins/1967-preface.htm [Verified 18 April 2019]

Blanchi R, Leonard J, Haynes K, Opie K, James M, Dimer de Oliveira F (2014) Environmental circumstances surrounding bushfire fatalities in Australia 1901–2011. Environmental Science & Policy 37, 192–203.
Environmental circumstances surrounding bushfire fatalities in Australia 1901–2011.Crossref | GoogleScholarGoogle Scholar |

Braun CC, Gage J, Booth C, Rowe AL (2001) Creating and evaluating alternatives to the 10 standard fire orders and 18 watch-out situations. International Journal of Cognitive Ergonomics 5, 23–35.
Creating and evaluating alternatives to the 10 standard fire orders and 18 watch-out situations.Crossref | GoogleScholarGoogle Scholar |

Brauneis K (2002) Fire orders: do you know the original intent? Fire Management Today 62, 27–29.

Breiman L (2001) Random forests. Machine Learning 45, 5–32.
Random forests.Crossref | GoogleScholarGoogle Scholar |

Brown AA (1937) The factors and circumstances that led to the Blackwater Fire tragedy. Fire Control Notes 1, 384–387.

Bureau of Land Management (2003) Bureau of Land Management serious accident investigation chief investigator’s manual. USDI, Bureau of Land Management Manual H-1112–3. (Washington, DC, USA) Available at https://www.nifc.gov/fireInfo/fireInfo_documents/BLMChfInvstgtrManual.pdf [Verified 24 April 2019]

Burgan RE, Andrews PL, Bradshaw LS, Chase CH (1997) Current status of the wildland fire assessment system (WFAS). Fire Management Notes 57, 14–17.

Butler BW (2014a) A study of the impact of slope and wind on firefighter safety zone effectiveness. USDI, Joint Fire Science Program Project 07–2-1–20. (Boise, ID, USA) Available at https://www.firescience.gov/projects/07-2-1-20/project/07-2-1-20_final_report.pdf [Verified 24 April 2019]

Butler BW (2014b) Wildland firefighter safety zones: a review of past science and summary of future needs. International Journal of Wildland Fire 23, 295–308.
Wildland firefighter safety zones: a review of past science and summary of future needs.Crossref | GoogleScholarGoogle Scholar |

Butler BW, Anderson WR, Catchpole EA (2007) Influence of slope on fire spread rate. In ‘The fire environment – innovations, management, and policy; conference proceedings’, 26–30 March 2007, Destin, FL, USA. (Eds BW Butler, W Cook) USDA Forest Service, Rocky Mountain Research Station, Proceedings RMRS-46CD, pp. 75–82. (Fort Collins, CO, USA) Available at https://www.fs.fed.us/rm/pubs/rmrs_p046/rmrs_p046_075_082.pdf [Verified 24 April 2019]

Butler BW, Bartlette RA, Bradshaw LS, Cohen JD, Andrews PL, Putnam T, Mangan RJ (1998) Fire behavior associated with the 1994 South Canyon Fire on Storm King Mountain, Colorado. USDA Forest Service, Rocky Mountain Research Station, Research Paper RMRS-9. (Ogden, UT, USA) Available at https://www.fs.fed.us/rm/pubs/rmrs_rp009.pdf [Verified 31 May 2019]

Butler C, Marsh S, Domitrovich JW, Helmkamp J (2017) Wildland fire fighter deaths in the United States: a comparison of existing surveillance systems. Journal of Occupational and Environmental Hygiene 14, 258–270.
Wildland fire fighter deaths in the United States: a comparison of existing surveillance systems.Crossref | GoogleScholarGoogle Scholar | 27754819PubMed |

Byram GM (1959) Combustion of forest fuels. In ‘Forest fire: control and use’. (Ed. KP Davis) pp. 61–89. (McGraw-Hill: New York, NY, USA) Available at https://www.frames.gov/documents/behaveplus/publications/Byram_1959_CombustionOfForestFuels.pdf [Verified 22 April 2019]

Calkin DE, Gebert KM, Jones JG, Neilson RP (2005) Forest Service large-fire area burned and suppression expenditure trends, 1970–2002. Journal of Forestry 103, 179–183.
Forest Service large-fire area burned and suppression expenditure trends, 1970–2002.Crossref | GoogleScholarGoogle Scholar |

Calkin DE, Cohen JD, Finney MA, Thompson MP (2014) How risk management can prevent future wildfire disasters in the wildland–urban interface. Proceedings of the National Academy of Sciences of the United States of America 111, 746–751.
How risk management can prevent future wildfire disasters in the wildland–urban interface.Crossref | GoogleScholarGoogle Scholar | 24344292PubMed |

Calkin DE, Thompson MP, Finney MA (2015) Negative consequences of positive feedbacks in US wildfire management. Forest Ecosystems 2, 9
Negative consequences of positive feedbacks in US wildfire management.Crossref | GoogleScholarGoogle Scholar |

Campbell MJ, Dennison PE, Butler BW (2017) A LiDAR-based analysis of the effects of slope, vegetation density, and ground surface roughness on travel rates for wildland firefighter escape route mapping. International Journal of Wildland Fire 26, 884–895.
A LiDAR-based analysis of the effects of slope, vegetation density, and ground surface roughness on travel rates for wildland firefighter escape route mapping.Crossref | GoogleScholarGoogle Scholar |

Campbell MJ, Dennison PE, Butler BW, Page WG (2019) Using crowdsourced fitness tracker data to model the relationship between slope and travel rates. Applied Geography 106, 93–107.
Using crowdsourced fitness tracker data to model the relationship between slope and travel rates.Crossref | GoogleScholarGoogle Scholar |

Catchpole WR, Catchpole EA, Butler BW, Rothermel RC, Morris GA, Latham DJ (1998) Rate of spread of free-burning fires in woody fuels in a wind tunnel. Combustion Science and Technology 131, 1–37.
Rate of spread of free-burning fires in woody fuels in a wind tunnel.Crossref | GoogleScholarGoogle Scholar |

Cheney NP, Gould JS (1995) Fire growth in grassland fires. International Journal of Wildland Fire 5, 237–247.
Fire growth in grassland fires.Crossref | GoogleScholarGoogle Scholar |

Cheney NP, Gould JS, Catchpole WR (1993) The influence of fuel, weather and fire shape variables on fire spread in grasslands. International Journal of Wildland Fire 3, 31–44.
The influence of fuel, weather and fire shape variables on fire spread in grasslands.Crossref | GoogleScholarGoogle Scholar |

Cheney NP, Gould JS, McCaw L (2001) The dead-man zone – a neglected area of firefighter safety. Australian Forestry 64, 45–50.
The dead-man zone – a neglected area of firefighter safety.Crossref | GoogleScholarGoogle Scholar |

Cliff EP, Price JH, Lindh CO, Mays LK, Cochran HD (1953) The Rattlesnake Fire. USDA Forest Service. (Washington, DC, USA) Available at http://wlfalwaysremember.org/images/incidents/documents/1953-07-09-rattlesnake-report.pdf [Verified 24 April 2019]

Cook J (1995) Fire environment size-up: human limitations vs. superhuman expectations. Wildfire 4, 49–53.

Cook JR (2013) Trends in wildland fire entrapment fatalities … revisited. National Wildfire Coordinating Group. (Boise, ID, USA)

Countryman CM (1974) Can southern California wildland conflagrations be stopped? USDA Forest Service, Pacific Southwest Forest and Range Experiment Station, General Technical Report PSW-7. (Berkeley, CA, USA) Available at https://www.fs.fed.us/psw/publications/documents/psw_gtr007/psw_gtr007.pdf [Verified 22 April 2019]

Countryman CM, Philpot CW (1970) Physical characteristics of chamise as a wildland fuel. USDA Forest Service, Pacific Southwest Forest and Range Experiment Station, Research Paper PSW-66. (Berkeley, CA, USA) Available at https://www.fs.fed.us/psw/publications/documents/psw_rp066/psw_rp066.pdf [Verified 22 April 2019]

Countryman CM, Fosberg MA, Rothermel RC, Schroeder MJ (1968) Fire weather and fire behavior in the 1966 Loop Fire. Fire Technology 4, 126–141.
Fire weather and fire behavior in the 1966 Loop Fire.Crossref | GoogleScholarGoogle Scholar |

Deeming JE, Burgan RE, Cohen JD (1977) The National Fire-Danger Rating System – 1978. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-39. (Fort Collins, CO, USA)

Done J, Davis CA, Weisman M (2004) The next generation of NWP: explicit forecasts of convection using the weather research and forecasting (WRF) model. Atmospheric Science Letters 5, 110–117.
The next generation of NWP: explicit forecasts of convection using the weather research and forecasting (WRF) model.Crossref | GoogleScholarGoogle Scholar |

Fellows I (2018) wordcloud: word clouds. R package version 2.6. Available at https://CRAN.R-project.org/package=wordcloud [Verified 22 April 2019]

Forthofer JM, Butler BW, McHugh CW, Finney MA, Bradshaw LS, Stratton RD, Shannon KS, Wagenbrenner NS (2014a) A comparison of three approaches for simulating fine-scale surface winds in support of wildland fire management. Part II. An exploratory study of the effect of simulated winds on fire growth simulations. International Journal of Wildland Fire 23, 982–994.
A comparison of three approaches for simulating fine-scale surface winds in support of wildland fire management. Part II. An exploratory study of the effect of simulated winds on fire growth simulations.Crossref | GoogleScholarGoogle Scholar |

Forthofer JM, Butler BW, Wagenbrenner NS (2014b) A comparison of three approaches for simulating fine-scale surface winds in support of wildland fire management. Part I. Model formulation and comparison against measurements. International Journal of Wildland Fire 23, 969–981.
A comparison of three approaches for simulating fine-scale surface winds in support of wildland fire management. Part I. Model formulation and comparison against measurements.Crossref | GoogleScholarGoogle Scholar |

Fryer GK, Dennison PE, Cova TJ (2013) Wildland firefighter entrapment avoidance: modelling evacuation triggers. International Journal of Wildland Fire 22, 883–893.
Wildland firefighter entrapment avoidance: modelling evacuation triggers.Crossref | GoogleScholarGoogle Scholar |

Gabbert B (2013) Yarnell Fire lead investigator talks about the report and tracking firefighters. Wildfire Today. Available at https://wildfiretoday.com/2013/11/30/yarnell-fire-lead-investigator-talks-about-the-report-and-tracking-firefighters/ [Verified 24 April 2019]

Gabbert B (2019) 21 issues frequently identified in firefighter entrapment reports. Wildfire Today. Available at https://wildfiretoday.com/2019/02/10/21-issues-frequently-identified-in-firefighter-entrapment-reports/ [Verified 24 April 2019]

Gallacher JR, Ripa B, Butler BW, Fletcher TH (2018) Lab-scale observations of flame attachment on slopes with implications for firefighter safety zones. Fire Safety Journal 96, 93–104.
Lab-scale observations of flame attachment on slopes with implications for firefighter safety zones.Crossref | GoogleScholarGoogle Scholar |

Gleason P (1991) LCES – a key to safety in the wildland fire environment. Fire Management Notes 52, 9

Haunschild PR, Sullivan BN (2002) Learning from complexity: effects of prior accidents and incidents on airlines’ learning. Administrative Science Quarterly 47, 609–643.
Learning from complexity: effects of prior accidents and incidents on airlines’ learning.Crossref | GoogleScholarGoogle Scholar |

Holden ZA, Jolly WM, Parsons R, Warren A, Landguth E, Abatzoglou J (2013) TOPOFIRE: a system for monitoring insect and climate impacts on fire danger in complex terrain. Cirmount 7, 2–5. Available at https://www.fs.fed.us/psw/cirmount/publications/pdf/Mtn_Views_nov_13.pdf#page=6 [Verified 24 April 2019]

Holland PG, Steyn DG (1975) Vegetational responses to latitudinal variations in slope angle and aspect. Journal of Biogeography 2, 179–183.
Vegetational responses to latitudinal variations in slope angle and aspect.Crossref | GoogleScholarGoogle Scholar |

Holmstrom M (2016) Common denominators on tragedy fires – updated for a new (human) fire environment. Wildfire 25, 26–34. Available at http://wildfiremagazine.org/article/common-denominators-tragedy-fires-updated/ [Verified 24 April 2019]

Huntington JL, Hegewisch KC, Daudert B, Morton CG, Abatzoglou JT, McEvoy DJ, Erickson T (2017) Climate engine: cloud computing and visualization of climate and remote sensing data for advanced natural resource monitoring and process understanding. Bulletin of the American Meteorological Society 98, 2397–2410.
Climate engine: cloud computing and visualization of climate and remote sensing data for advanced natural resource monitoring and process understanding.Crossref | GoogleScholarGoogle Scholar |

Imai K, King G, Lau O (2008) Toward a common framework for statistical analysis and development. Journal of Computational and Graphical Statistics 17, 892–913.
Toward a common framework for statistical analysis and development.Crossref | GoogleScholarGoogle Scholar |

Johnson RH, Schumacher RS, Ruppert JH, Lindsey DT, Ruthford JE, Kriederman L (2014) The role of convective outflow in the Waldo Canyon Fire. Monthly Weather Review 142, 3061–3080.
The role of convective outflow in the Waldo Canyon Fire.Crossref | GoogleScholarGoogle Scholar |

Jolly WM, Freeborn PH (2017) Towards improving wildland firefighter situational awareness through daily fire behaviour risk assessments in the US Northern Rockies and Northern Great Basin. International Journal of Wildland Fire 26, 574–586.
Towards improving wildland firefighter situational awareness through daily fire behaviour risk assessments in the US Northern Rockies and Northern Great Basin.Crossref | GoogleScholarGoogle Scholar |

Kendall MG (1975) ‘Rank correlation methods.’ (Charles Griffin and Co. Ltd.: London, UK)

Kourtz PH (1977) An application of Landsat digital technology to forest fire fuel type mapping. In ‘Proceedings, 11th international symposium on remote sensing of environment’, 25–29 April 1977, Ann Arbor, MI, USA. pp. 1111–1115. (Environmental Research Institute of Michigan: Ann Arbor, MI, USA) Available at http://cfs.nrcan.gc.ca/pubwarehouse/pdfs/33792.pdf [Verified 24 April 2019]

Lahaye S, Curt T, Fréjaville T, Sharples J, Paradis L, Hély C (2018a) What are the drivers of dangerous fires in Mediterranean France? International Journal of Wildland Fire 27, 155–163.
What are the drivers of dangerous fires in Mediterranean France?Crossref | GoogleScholarGoogle Scholar |

Lahaye S, Sharples J, Matthews S, Heemstra S, Price O, Badlan R (2018b) How do weather and terrain contribute to firefighter entrapments in Australia? International Journal of Wildland Fire 27, 85–98.
How do weather and terrain contribute to firefighter entrapments in Australia?Crossref | GoogleScholarGoogle Scholar |

Lahaye S, Sharples J, Hély C, Curt T (2018c) Toward safer firefighting strategies and tactics. In ‘Advances in forest fire research’. (Ed. DX Viegas), pp. 1311–1316. (Imprensa da Universidade de Coimbra: Coimbra, Portugal)10.14195/978-989-26-16-506_166

Leape LL (1994) Error in medicine. Journal of the American Medical Association 272, 1851–1857.
Error in medicine.Crossref | GoogleScholarGoogle Scholar | 7503827PubMed |

Loudermilk EL, Hiers JK, O’Brien JJ, Mitchell RJ, Singhania A, Fernandez JC, Cropper WP, Slatton KC (2009) Ground-based LIDAR: a novel approach to quantify fine-scale fuelbed characteristics. International Journal of Wildland Fire 18, 676–685.
Ground-based LIDAR: a novel approach to quantify fine-scale fuelbed characteristics.Crossref | GoogleScholarGoogle Scholar |

Loveless B, Hernandez A (2015) Measuring the wildland firefighting safety culture change – an analysis of entrapment rates from 1994 to 2013. In ‘Proceedings of the large wildland fires conference’, 19–23 May 2014, Missoula, MT, USA. (Eds RE Keane, WM Jolly, RA Parsons, KL Riley) USDA Forest Service, Rocky Mountain Research Station, Proceedings RMRS-73, pp. 150–155. (Fort Collins, CO, USA) Available at https://www.fs.fed.us/rm/pubs/rmrs_p073/rmrs_p073_150_155.pdf [Verified 17 April 2019]

Ma Y, Huang X, Mills GA, Parkyn K (2010) Verification of mesoscale NWP forecasts of abrupt cold frontal wind changes. Weather and Forecasting 25, 93–112.
Verification of mesoscale NWP forecasts of abrupt cold frontal wind changes.Crossref | GoogleScholarGoogle Scholar |

Mangan RJ (1999) Wildland fire fatalities in the United States: 1990–1998. USDA Forest Service, Missoula Technology and Development Center, Technical Report 9951–2808–MTDC. (Missoula, MT, USA) Available at https://www.fs.fed.us/t-d/pubs/pdfpubs/pdf99512808/pdf99512808pt01.pdf [Verified 24 April 2019]

Mangan R (2007) Wildland firefighter fatalities in the United States: 1990–2006. National Wildfire Coordinating Group, Safety and Health Working Team, National Interagency Fire Center Report No. PMS 841. (Boise, ID, USA) Available at https://www.fs.fed.us/t-d/pubs/pdfpubs/pdf07512814/pdf07512814dpi72.pdf [Verified 18 April 2019]

Mann HB (1945) Non-parametric tests against trend. Econometrica 13, 245–259.
Non-parametric tests against trend.Crossref | GoogleScholarGoogle Scholar |

Maupin J (1981) Thirteen prescribed fire situations that shout watch out! Fire Management Notes 42, 10

McArdle RE (1957) Standard firefighting orders. Fire Control Notes 18, 151

Monedero S, Ramirez J, Cardil A (2019) Predicting fire spread and behaviour on the fireline. Wildfire analyst pocket: a mobile app for wildland fire prediction. Ecological Modelling 392, 103–107.
Predicting fire spread and behaviour on the fireline. Wildfire analyst pocket: a mobile app for wildland fire prediction.Crossref | GoogleScholarGoogle Scholar |

Moore WR, Parker VA, Countryman CM, Mays LK, Greeley AW (1957) Report of task force to recommend action to reduce the chances of men being killed by burning while fighting fire. USDA Forest Service. (Washington, DC, USA) Available at https://www.fs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb5393525.pdf [Verified 18 April 2019]

Munson S, Mangan D (2000) Wildland firefighter entrapments 1976 to 1999. USDA Forest Service, Technology & Development Program, Technical Report 0051–2853–MTDC. (Missoula, MT, USA) Available at https://www.fs.fed.us/t-d/pubs/htmlpubs/htm00512853/ [Verified 24 April 2019]

Nagy RC, Fusco E, Bradley B, Abatzoglou JT, Balch J (2018) Human-related ignitions increase the number of large wildfires across US ecoregions. Fire 1, 4
Human-related ignitions increase the number of large wildfires across US ecoregions.Crossref | GoogleScholarGoogle Scholar |

National Interagency Fire Center (2018) Wildland fire fatalities by year. Available at https://www.nifc.gov/safety/safety_documents/Fatalities-by-Year.pdf [Verified 24 April 2019]

National Wildfire Coordinating Group (1980) Preliminary report of task force on study of fatal/near-fatal wildland fire accidents. National Interagency Fire Center. (Boise, ID, USA) Available at https://www.wildfirelessons.net/HigherLogic/System/DownloadDocumentFile.ashx?DocumentFileKey=1f2f44ea-7ffc-c9d7-574f-2922d94e8e75&forceDialog=0 [Verified 18 April 2019]

National Wildfire Coordinating Group (1992) Look up, look down, look around. National Wildfire Coordinating Group Report No. PMS 427. (Boise, ID, USA)

National Wildfire Coordinating Group (1997) Historical wildland firefighter fatalities, 1910–1996, 2nd edn. National Wildfire Coordinating Group, National Fire Equipment System, Publication Report No. NFES 1849. (Boise, ID, USA)

National Wildfire Coordinating Group (2006) NWCG fireline handbook appendix B. National Wildfire Coordinating Group PMS 410–2. (Boise, ID, USA) Available at https://training.nwcg.gov/pre-courses/s290/FHB_Appendix B.pdf [Verified 24 April 2019]

National Wildfire Coordinating Group (2007) FireLine Assessment MEthod (FLAME) field guide. National Wildfire Coordinating Group NFES 2894. (Boise, ID, USA)

National Wildfire Coordinating Group (2014) Glossary of wildland fire terminology. National Wildfire Coordinating Group PMS-205. (Boise, ID, USA)

National Wildfire Coordinating Group (2017a) NWCG report on wildland firefighter fatalities in the United States: 2007–2016. National Wildfire Coordinating Group PMS 841. (Boise, ID, USA) Available at https://www.nwcg.gov/sites/default/files/publications/pms841.pdf [Verified 19 April 2019]

National Wildfire Coordinating Group (2017b) Fire behavior field reference guide. PMS 437. (Boise, ID, USA)

National Wildfire Coordinating Group (2018) Incident response pocket guide. National Wildfire Coordinating Group, Operations and Training Committee PMS 461. (Boise, ID, USA) Available at https://www.nwcg.gov/sites/default/files/publications/pms461.pdf [Verified 24 April 2019]

Nauslar NJ, Abatzoglou JT, Marsh PT (2018) The 2017 North Bay and Southern California fires: a case study. Fire 1, 18
The 2017 North Bay and Southern California fires: a case study.Crossref | GoogleScholarGoogle Scholar |

Page WG, Butler BW (2017) An empirically based approach to defining wildland firefighter safety and survival zone separation distances. International Journal of Wildland Fire 26, 655–667.
An empirically based approach to defining wildland firefighter safety and survival zone separation distances.Crossref | GoogleScholarGoogle Scholar |

Page WG, Butler BW (2018) Fuel and topographic influences on wildland firefighter burnover fatalities in southern California. International Journal of Wildland Fire 27, 141–154.
Fuel and topographic influences on wildland firefighter burnover fatalities in southern California.Crossref | GoogleScholarGoogle Scholar |

Page WG, Butler BW (in press) Assessing wildland firefighter entrapment survivability. Fire Management Today

Page WG, Freeborn PH (2019) Entrapment. In ‘Encyclopedia of wildfires and wildland–urban interface (WUI) fires’. (Ed. SL Manzello) pp. 1–7. (Springer Nature: New York, NY, USA) https://doi.org/10.1007/978-3-319-51727-8_183-1

Page WG, Wagenbrenner NS, Butler BW, Forthofer JM, Gibson C (2018) An evaluation of NDFD weather forecasts for wildland fire behavior prediction. Weather and Forecasting 33, 301–315.
An evaluation of NDFD weather forecasts for wildland fire behavior prediction.Crossref | GoogleScholarGoogle Scholar |

Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecological Modelling 190, 231–259.
Maximum entropy modeling of species geographic distributions.Crossref | GoogleScholarGoogle Scholar |

Putnam T (2002) The ten standard firefighting orders: can anyone follow them? Mindful solutions. (Missoula, MT, USA) Available at https://studylib.net/doc/10548284/the-ten-standard-firefighting-orders–can-anyone-follow-t [Verified 24 April 2019]

R Core Team (2015) R: A language and environment for statistical computing. R Foundation for Statistical Computing. (Vienna, Austria) Available at http:www.R-project.org/ [Verified 24 April 2019]

Rollins MG (2009) LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment. International Journal of Wildland Fire 18, 235–249.
LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment.Crossref | GoogleScholarGoogle Scholar |

Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. USDA Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-115. (Ogden, UT, USA) Available at https://www.fs.fed.us/rm/pubs_int/int_rp115.pdf [Verified 24 April 2019]

Rothermel RC (1985) Fire behavior considerations of aerial ignition. In ‘Prescribed fire by aerial ignition, proceedings of a workshop’, 30 October–1 November 1984, Missoula, MT, USA. (Ed. RW Mutch) pp. 143–158. (Intermountain Fire Council: Missoula, MT, USA) Available at https://www.frames.gov/documents/behaveplus/publications/Rothermel_1984_AerialIgnition_ocr.pdf [Verified 23 April 2019]

Rothermel RC (1993) Mann Gulch Fire: a race that couldn’t be won. USDA Forest Service, Intermountain Research Station, General Technical Report INT-299. (Ogden, UT, USA) Available at https://www.fs.fed.us/rm/pubs_int/int_gtr299.pdf [Verified 24 April 2019]

Saura-Mas S, Paula S, Pausas JG, Lloret F (2010) Fuel loading and flammability in the Mediterranean Basin woody species with different post-fire regenerative strategies. International Journal of Wildland Fire 19, 783–794.
Fuel loading and flammability in the Mediterranean Basin woody species with different post-fire regenerative strategies.Crossref | GoogleScholarGoogle Scholar |

Schroeder MJ, Buck CC (1970) Fire weather … a guide for application of meteorological information to forest fire control operations. USDA Forest Service, Agriculture Handbook 360 PMS 425-I. (Washington, DC, USA) Available at https://training.nwcg.gov/pre-courses/s290/Fire_Weather_Handbook_pms_425.pdf [Verified 4 October 2018]

Schultz DM (2005) A review of cold fronts with prefrontal troughs and wind shifts. Monthly Weather Review 133, 2449–2472.
A review of cold fronts with prefrontal troughs and wind shifts.Crossref | GoogleScholarGoogle Scholar |

Scott JH (2007) Nomographs for estimating surface fire behavior characteristics. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-192. (Fort Collins, CO, USA) https://www.fs.usda.gov/treesearch/pubs/27177 [Verified 4 October 2018]

Scott JH, Burgan RE (2005) Standard fire behavior fuel models: a comprehensive set for use with Rothermel’s surface fire spread model. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-153. (Fort Collins, CO, USA) Available at https://www.fs.fed.us/rm/pubs/rmrs_gtr192.pdf [Verified 24 April 2019]

Shafer JC, Steenburgh WJ (2008) Climatology of strong intermountain cold fronts. Monthly Weather Review 136, 784–807.
Climatology of strong intermountain cold fronts.Crossref | GoogleScholarGoogle Scholar |

Sharples JJ, Gill AM, Dold JW (2010) The trench effect and eruptive wildfires: lessons from the King’s Cross Underground disaster. In ‘Proceedings of Australian Fire and Emergency Service Authorities Council 2010 conference’, 8–10 September 2010, Darwin, NT, Australia. (Australian Fire and Emergency Service Authorities Council: Darwin, NT, Australia) Available at http://www.ma.man.ac.uk/~jwd/articles/10-TEaEW.pdf[Verified 31 May 2019]

Sharples JJ, McRae RHD, Wilkes SR (2012) Wind–terrain effects on the propagation of wildfires in rugged terrain: fire channelling. International Journal of Wildland Fire 21, 282–286.
Wind–terrain effects on the propagation of wildfires in rugged terrain: fire channelling.Crossref | GoogleScholarGoogle Scholar |

Short KC (2015) Sources and implications of bias and uncertainty in a century of US wildfire activity data. International Journal of Wildland Fire 24, 883–891.
Sources and implications of bias and uncertainty in a century of US wildfire activity data.Crossref | GoogleScholarGoogle Scholar |

Short KC (2017) Spatial wildfire occurrence data for the United States, 1992–2015 [FPA_FOD_20170508]. USDA Forest Service, Rocky Mountain Research Station (Fort Collins, CO, USA)10.2737/RDS-2013-0009.4

Silva JS, Rego F, Fernandes P, Rigolot E (Eds) (2010) ‘Towards integrated fire management – outcomes of the European project fire paradox.’ European Forest Institute Research Report 23. (European Forest Institute: Joensuu, Finland) Available at https://www.ucm.es/data/cont/docs/530-2013-10-15-efi_rr23.pdf [Verified 24 April 2019]

Simpson KJ, Ripley BS, Christin PA, Belcher CM, Lehmann CER, Thomas GH, Osborne CP (2016) Determinates of flammability in savanna grass species. Journal of Ecology 104, 138–148.
Determinates of flammability in savanna grass species.Crossref | GoogleScholarGoogle Scholar | 26877549PubMed |

Sinclair VA, Niemelä S, Leskinen M (2012) Structure of a narrow cold front in the boundary layer: observations versus model simulation. Monthly Weather Review 140, 2497–2519.
Structure of a narrow cold front in the boundary layer: observations versus model simulation.Crossref | GoogleScholarGoogle Scholar |

Steele J, Krebs J (2000) Revisiting the ten standard orders. Wildfire 9, 21–23.

Strauss D, Bednar L, Mees R (1989) Do one percent of forest fires cause ninety-nine percent of the damage? Forest Science 35, 319–328.
Do one percent of forest fires cause ninety-nine percent of the damage?Crossref | GoogleScholarGoogle Scholar |

Sullivan AL (2009) Wildland surface fire spread modelling, 1990–2007. 2: Empirical and quasi-empirical models. International Journal of Wildland Fire 18, 369–386.
Wildland surface fire spread modelling, 1990–2007. 2: Empirical and quasi-empirical models.Crossref | GoogleScholarGoogle Scholar |

TriData Corporation (1996) Wildland firefighter safety awareness study: phase I – identifying the organizational culture, leadership, human factors, and other issues impacting firefighter safety. TriData Corporation. (Arlington, VA, USA) Available at https://www.nifc.gov/safety/safety_documents/phase1.pdf [Verified 24 April 2019]

TriData Corporation (1997) Wildland firefighter safety awareness study: phase II – setting new goals for the organizational culture, leadership, human factors, and other areas impacting firefighter safety. TriData Corporation. (Arlington, VA, USA) Available at https://www.wildfirelessons.net/viewdocument/wildland-firefighter-safety-awarene [Verified 24 April 2019]

TriData Corporation (1998) Wildland firefighter safety awareness study: phase III – implementing cultural changes for safety. TriData Corporation. (Arlington, VA, USA) Available at https://www.wildfirelessons.net/viewdocument/wildland-firefighter-safety-awarene [Verified 24 April 2019]

US Forest Service California Region (1954) Accident check list for forest fire fighters. Fire Control Notes 15, 14–15.

USDA Forest Service (1957) The Inaja forest fire disaster. USDA Forest Service. (Washington, DC, USA) Available at http://www.wlfalwaysremember.org/images/incidents/documents/1956-11-25-inaja-report.pdf [Verified 24 April 2019]

USDA, USDI (1995) Federal wildland fire management policy and program review. (Washington, DC, USA) Available at https://www.forestsandrangelands.gov/documents/strategy/foundational/1995_fed_wildland_fire_policy_program_report.pdf [Verified 24 April 2019]

USDI, USDA (2014) National cohesive wildland fire management strategy. (Washington, DC, USA) Available at https://www.forestsandrangelands.gov/documents/strategy/strategy/CSPhaseIIINationalStrategyApr2014.pdf [Verified 24 April 2019]

Van Wagner CE (1977) Effect of slope on fire spread rate. Canadian Forest Service. Bimonthly Research Notes 33, 7–9. Available at http://cfs.nrcan.gc.ca/pubwarehouse/pdfs/29435.pdf [Verified 24 April 2019]

Viegas DX (2006) Parametric study of an eruptive fire behaviour model. International Journal of Wildland Fire 15, 169–177.
Parametric study of an eruptive fire behaviour model.Crossref | GoogleScholarGoogle Scholar |

Viegas DX, Simeoni A (2011) Eruptive behaviour of forest fires. Fire Technology 47, 303–320.
Eruptive behaviour of forest fires.Crossref | GoogleScholarGoogle Scholar |

Wall TU, Brown TJ, Nauslar NJ (2018) Fire stories – understanding wildland firefighters’ perceptions of unpredictable and extreme fire behavior. USDA Forest Service Research, Development and Applications Program, Final Report. (Reno, NV, USA)

Weick KE (2002) Human factors in fire behavior analysis: reconstructing the Dude Fire. Fire Management Today 62, 8–15.

Werth PA, Potter BE, Clements CB, Finney MA, Goodrick SL, Alexander ME, Cruz MG, Forthofer JM, McAllister SS (2011) Synthesis of knowledge of extreme fire behavior: Vol. I for fire managers. USDA Forest Service, Pacific Northwest Research Station, General Technical Report PNW-854. (Portland, OR, USA) Available at https://www.fs.fed.us/pnw/pubs/pnw_gtr854.pdf [Verified 24 April 2019]

Werth PA, Potter BE, Alexander ME, Clements CB, Cruz MG, Finney MA, Forthofer JM, Goodrick SL, Hoffman CM, Jolly WM, McAllister SS, Ottmar RD, Parsons RA (2016) Synthesis of knowledge of extreme fire behavior: Vol. 2 for fire behavior specialists, researchers, and meteorologists. USDA Forest Service, Pacific Northwest Research Station, General Technical Report PNW-891. (Portland, OR, USA) Available at https://www.fs.fed.us/pnw/pubs/pnw_gtr891.pdf [Verified 24 April 2019]

Whitlock C, Wolf JT (2005) Accident investigation guide: 2005 edition. USDA Forest Service, Technology and Development Program 7E72H46. (Missoula, MT, USA) Available at https://www.fs.fed.us/t-d/pubs/pdfpubs/pdf05672806/pdf05672806dpi72pt01.pdf [Verified 24 April 2019]

Wilson CC (1977) Fatal and near-fatal forest fires: the common denominators. The International Fire Chief 43, 9–15.

Wilson JF, Peterson RM, Mutch RW, Heilman EG, Abbott JR, O’Dell CA, Beer HJ (1976) Accident report, Battlement Creek Fire fatalities and injury, July 17, 1976. USDI Bureau of Land Management, State of Colorado, Grand Junction District. (Washington, DC, USA) Available at https://www.wildfirelessons.net/HigherLogic/System/DownloadDocumentFile.ashx?DocumentFileKey=9c6862f8-a806-4efb-981b-1b3072b0173c&forceDialog=0 [Verified 24 April 2019]

Yarnell Hill Fire Investigation Report (2013) Yarnell Hill Fire: June 30, 2013. Serious Accident Investigation Report. Arizona State Forestry Division, Office of the State Forester. (Phoenix, AZ, USA) Available at https://www.wildfirelessons.net/HigherLogic/System/DownloadDocumentFile.ashx?DocumentFileKey=4c98c51d-102c-4e04-86e0-b8370d2beb27&forceDialog=0 [Verified 24 April 2019]

Young MV, Hewson TD (2012) The forecasting challenge of waving cold fronts: benefits of the ensemble approach. Weather 67, 296–301.
The forecasting challenge of waving cold fronts: benefits of the ensemble approach.Crossref | GoogleScholarGoogle Scholar |

Ziegler JA (2007) The story behind an organizational list: a genealogy of wildland firefighters’ 10 standard fire orders. Communication Monographs 74, 415–442.
The story behind an organizational list: a genealogy of wildland firefighters’ 10 standard fire orders.Crossref | GoogleScholarGoogle Scholar |

Ziegler JA (2008) How the ‘13 Situations that Shout ‘Watch Out’ became the ‘18 Watch Out Situations’. Valparaiso University, Department of Communication. (Valparaiso, IN, USA) Available at https://www.researchgate.net/publication/237770852_How_the_13_Situations_that_Shout_’Watch_Out’_Became_the_18_Watch_Out_Situations [Verified 24 April 2019]