The spatially varying influence of humans on fire probability in North America
Open accessAbstract
Humans affect fire regimes by providing ignition sources in some cases, suppressing wildfires in others, and altering natural vegetation in ways that may either promote or limit fire. In North America, several studies have evaluated the effects of society on fire activity; however, most studies have been regional or subcontinental in scope and used different data and methods, thereby making continent-wide comparisons difficult. We circumvent these challenges by investigating the broad-scale impact of humans on fire activity using parallel statistical models of fire probability from 1984 to 2014 as a function of climate, enduring features (topography and percent nonfuel), lightning, and three indices of human activity (population density, an integrated metric of human activity [Human Footprint Index], and a measure of remoteness [roadless volume]) across equally spaced regions of the United States and Canada. Through a statistical control approach, whereby we account for the effect of other explanatory variables, we found evidence of non-negligible human–wildfire association across the entire continent, even in the most sparsely populated areas. A surprisingly coherent negative relationship between fire activity and humans was observed across the United States and Canada: fire probability generally diminishes with increasing human influence. Intriguing exceptions to this relationship are the continent's least disturbed areas, where fewer humans equate to less fire. These remote areas, however, also often have lower lightning densities, leading us to believe that they may be ignition limited at the spatiotemporal scale of the study. Our results suggest that there are few purely natural fire regimes in North America today. Consequently, projections of future fire activity should consider human impacts on fire regimes to ensure sound adaptation and mitigation measures in fire-prone areas.
AI snapshot
Written from the paper’s full text.
TL;DR
This study models fire probability across the United States and Canada from 1984–2014 to assess how human influence varies spatially relative to climate, enduring features, and lightning. It finds a broadly coherent negative human–fire relationship, but with important exceptions in remote, possibly ignition-limited areas, suggesting few purely natural fire regimes remain.
Key findings
- Full fire-probability models performed well: mean test AUC was 0.776 across 16 hexels (range 0.672–0.891), and mean prevalence-adjusted AUC was 0.804.
- Anthropogenic variables were the most important category in 4 hexels and second-most important in the remaining 12; climate was the dominant control in all but those 4 hexels.
- Fire probability generally decreased with increasing human influence: area burned usually declined with LogPopDens, and the Human Footprint Index had a decaying relationship in all hexels.
- Exceptions occurred in some of the least disturbed/remote areas, where fewer humans corresponded to less fire; the authors suggest these areas may be ignition limited due to lower lightning densities.
Methods
- The study area covered the US and Canada (19,437,101 km²), excluding Hawaii and the Caribbean, partitioned into 16 hexagonal polygons (“hexels”) of 1,374,902 km² each.
- Fire probability models used 1984–2014 burned-area data from MTBS and the Canadian National Fire Database, with fires ≥400 ha; explanatory variables included climate normals (1981–2010), enduring features, lightning (1995–2005), and three anthropogenic indices: LogPopDens, Human Footprint Index, and roadless volume.
- For each hexel, presence/background points were sampled and 100 model subsets were averaged; variable importance was assessed from model gain, and partial dependence plots were used to evaluate anthropogenic relationships while statistically controlling for other variables.
Limitations
- Paper-stated: missing fire data for hex12 (northern Ontario and Manitoba) may have significantly affected results, so that hexel should be interpreted with caution.
- Paper-stated: comparison among hexels is complicated by widely varying ranges of the anthropogenic variables; dichotomizing burned/unburned precluded considering areas that burned more than once; and anthropogenic effects may still conflate with non-anthropogenic variables in some regions.
- Paper-stated: results are scale-dependent and should not be extrapolated to much smaller or larger spatiotemporal scales; vegetation was not explicitly modeled except percent nonfuel, and detailed vegetation at time of burn would likely have improved models.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 63 cited sources checked · 0 supported · 0 flagged
- Findingown data
The authors found evidence of a non-negligible human-wildfire association across the entire continent, even in the most sparsely populated areas.
“we found evidence of non-negligible human-wildfire association across the entire continent, even in the most sparsely populated areas”
Quote in the paperSubstantial claim - Findingown data
A coherent negative relationship between fire activity and humans was observed across the United States and Canada: fire probability generally diminishes with increasing human influence.
“A surprisingly coherent negative relationship between fire activity and humans was observed across the United States and Canada: fire probability generally diminishes with increasing human influence.”
Quote in the paperSubstantial claim - Findingown data
Exceptions to the negative human-fire relationship are the continent's least disturbed areas, where fewer humans equate to less fire.
“Intriguing exceptions to this relationship are the continent's least disturbed areas, where fewer humans equate to less fire.”
Quote in the paperSubstantial claim - Findingown data
AUC values increased, sometimes substantially, when adjusted for prevalence, with a mean of 0.804.
“AUC values increased, sometimes substantially, when adjusted for prevalence (mean 0.804).”
Quote in the paperNot a substantial claim - Findingown data
Climate was the most frequent dominant control on fire activity, having the highest variable importance in all but four hexels (the ones dominated by anthropogenic variables).
“Climate was the most frequent dominant control on fire activity, having the highest variable importance in all but four hexels (i.e., the ones dominated by anthropogenic variables).”
Quote in the paperSubstantial claim
- Findingown data
The relative importance of climate, enduring features, lightning, and anthropogenic variables varied substantially among hexels.
“The relative importance of climate, enduring features, lightning, and anthropogenic variables varied substantially among hexels (figure 2).”
Quote in the paperSubstantial claim - Findingown data
Roadless volume has a different relationship with fire than population density and the Human Footprint Index.
“Our third index, the roadless volume, tells a somewhat different story, and therefore we caution against using a single index to measure human influence on fire regimes.”
Quote in the paperSubstantial claim - Findingown data
Lightning was otherwise the least important variable.
“Lightning was otherwise the least important variable.”
Quote in the paperNot a substantial claim - Findingown data
The response to the RdlsVol was the most diverse of the three anthropogenic variables.
“The response to the RdlsVol was the most diverse of the three anthropogenic variables (figure 5).”
Quote in the paperNot a substantial claim - Findingreasoning
There is a relative decrease in fire probability in some of the most remote areas of some hexels.
“Notwithstanding, there is a relative decrease in fire probability in some of the most remote areas of some hexels.”
Quote in the paperNot a substantial claim - Findingreasoning
In the most isolated areas (mainly protected areas) of northern and western North America, there is less fire compared to areas of moderate-to-high remoteness.
“which suggests less fire in the most isolated areas (mainly protected areas) compared to areas of moderate-to-high remoteness.”
Quote in the paperSubstantial claim - Findingown data
The per capita effect of humans on fire activity varies widely across North America.
“We also observed that the per capita effect of humans on fire activity varies widely across North America.”
Quote in the paperSubstantial claim - Findingown data
For all hexels, the two most influential categories of variables were climate and anthropogenic.
“For all hexels, the two most influential categories of variables were climate and anthropogenic.”
Quote in the paperSubstantial claim - Findingown data
The expectation that more sparsely populated parts of the continent would have a relatively lower anthropogenic effect on fire did not bear out in all of the boreal hexels (hex10, hex12, hex13, hex14, hex15, hex16).
“Our expectations were that more sparsely populated parts of the continent would have a relatively lower anthropogenic effect on fire.As shown in all of the boreal hexels (hex10, hex12, hex13, hex14, hex15, hex16), this expectation did not bear out.”
Quote in the paperSubstantial claim - Findingown data
Population density and the Human Footprint Index have a remarkably similar negative relationship with fire in North America at the spatiotemporal frame of the study.
“Results, however, show that population density and the Human Footprint Index have a remarkably similar (negative) relationship with fire.”
Quote in the paperSubstantial claim - Findingown data
The authors found a non-negligible impeding influence of humans on fire, even in some of the least densely populated areas.
“We found a non-negligible impeding influence of humans on fire, even in some of the least densely populated areas.”
Quote in the paperSubstantial claim - Findingreasoning
The maximum value for roadless volume in hex4 (southern Midwest) is lower than the minimum value for roadless volume in hex16 (Alaska).
“the maximum value for roadless volume in hex4 (southern Midwest) is lower than the minimum value for in hex16 (Alaska).”
Quote in the paperSubstantial claim - Findingown data
A single response for the western US masks the variability in fire responses across such a large area.
“our results show that a single response for the western US masks the variability in the fire responses across such a large area.”
Quote in the paperSubstantial claim - Findingown data
Overall, models of fire probability as a function of all variables (the full model) performed well.
“Overall, models of fire probability as a function of all variables (i.e., the full model) performed well (figure 2).”
Quote in the paperNot a substantial claim - Findingown data
Much of the northern and western parts of North America show a unimodal response of fire to roadless volume.
“Much of the northern and western parts of North America, for instance, show a unimodal response of fire to roadless volume”
Quote in the paperSubstantial claim - Findingreasoning
Some heavily human-altered hexels of the conterminous US show an unexpectedly moderate effect of humans on fire activity.
“By contrast, some heavily human-altered hexels of the conterminous US show an unexpectedly moderate effect of humans on fire activity, perhaps because climate is simply much more dominant than other environmental controls.”
Quote in the paperNot a substantial claim - Premisecitation
In the center of the continent, in the American Midwest and Canadian Prairies, where vast grasslands were converted to agriculture, previous high fire activity has been greatly diminished or even excluded altogether.
“In the center of the continent, in the American Midwest and Canadian Prairies, where vast grasslands were converted to agriculture, previous high fire activity has been greatly diminished or even excluded altogether (Collins andWallace 1990, Brown et al 2005).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Collins andWallace 1990
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- cites Brown et al 2005
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- Interpretationreasoning
There are few purely natural fire regimes in North America today.
“Our results suggest that there are few purely natural fire regimes in North America today.”
Quote in the paperSubstantial claim - Premisecitation
Areas with historically active fire regimes, notably in the northeastern United States and adjacent Canada, now experience virtually no wildland fire.
“Areas with historically active fire regimes (whether natural or anthropogenic), notably in the northeastern United States and adjacent Canada, now experience virtually no wildland fire (Clark and Royall 1996, Nowacki and Abrams 2008).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Clark and Royall 1996
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- cites Nowacki and Abrams 2008
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- Premisecitation
Humans may exert pervasive and enduring indirect effects on fire regimes by altering or removing the natural vegetation.
“In addition to these direct effects on fire activity, humans may exert pervasive and enduring indirect effects on fire regimes by altering, or removing, the natural vegetation (e.g., change in forest structure, invasive annuals, logging, conversion to irrigated agriculture) (Cochrane 2003, Pausas and Keeley 2009, Perry et al 2012, Fréjaville and Curt 2015).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Cochrane 2003
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- cites Pausas and Keeley 2009
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- cites Perry et al 2012
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- Premisecitation
Currently, most fire activity in North America occurs in the western United States and in the boreal forests of Canada and Alaska, where fire is promoted by expansive wildlands combined with fire-conducive climates and vegetation.
“Currently, most fire activity in North America occurs in the western United States and in the boreal forests of Canada and Alaska, where, in spite of large pockets of urbanization and agriculture, fire is promoted by expansive wildlands combined with fire-conducive climates and vegetation (Swetnam 1993, Westerling et al 2003).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Swetnam 1993
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- cites Westerling et al 2003
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- Premisecitation
Over the past three decades, substantial increases in wildfires have been reported, notably in the western United States and in the boreal zone.
“Over the past three decades, however, substantial increases in wildfires have been reported, notably in the western United States (Westerling et al 2006) and in the boreal zone (Kasischke and Turetsky 2006).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Westerling et al 2006
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- cites Kasischke and Turetsky 2006
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- Interpretationreasoning
The fire-human relationships reported in this study are not necessarily expected to hold over much smaller or greater spatial extents.
“The fire-human reported in this study are not necessarily expected to hold over much smaller or greater spatial extents.”
Quote in the paperSubstantial claim - Interpretationcitation
The results are coherent with the conclusions of Marlon et al (2008) and Mouillot and Field (2005), who reported a decrease in area burned in relation to increased population trends in boreal and temperate biomes.
“Overall, our results agree with those of Knorr et al (2014) and Hantson et al (2015), who found a globally negative relationship between fire and population density, and are coherent with the conclusions of Marlon et al (2008) and Mouillot and Field (2005), who reported a decrease in area burned in relation to increased population trends in boreal and temperate biomes.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Marlon et al 2008
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- cites Mouillot and Field 2005
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- Premisecitation
Past fire management policies have likely altered the nature of the fire-environment relationship in some areas.
“the effect of past fire management policies on current fire activity, given that these have likely altered the nature of the fire-environment relationship in some areas (Higuera et al 2015, Ruffault and Mouillot 2015).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Higuera et al 2015
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- cites Ruffault and Mouillot 2015
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- Study design and conductreasoning
The fire probability models were fully comparable among hexels, as they were built using the same set of explanatory variables and used the same model settings.
“The fire probability models were fully comparable among hexels, as they were built using the same set of explanatory variables and used the same model settings.”
Quote in the paperSubstantial claim - Premisecitation
Most evaluations of the influence of human activity on North American fire regimes have been conducted for specific countries, subregions, or landscapes.
“Most evaluations of the influence of human activity on North American fire regimes have been conducted for specific countries, subregions, or landscapes (e.g., Cardille et al 2001, Sturtevant and Cleland 2007, Syphard et al 2007, Gralewicz et al 2012, Hawbaker et al 2013, Liu and Wimberly 2015).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Cardille et al 2001
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- cites Sturtevant and Cleland 2007
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- cites Syphard et al 2007
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- Study design and conductnone given
Missing fire data for hex12 (northern Ontario and Manitoba) may have significantly affected the results for that hexel.
“the missing fire data of hex12 (northern Ontario and Manitoba) may have significantly affected the results; therefore, results for this hexel should be interpreted with caution.”
Quote in the paperNot a substantial claim - Interpretationcitation
The effects of exotic cheatgrass invasion on fire regimes are not fully captured by the three anthropogenic indexes used in this study.
“but are not fully captured by our three indexes.”
Quote in the paperNot a substantial claim - Interpretationown data
Climate is the dominant environmental control on fire in most of North America.
“Climate is nevertheless the dominant environmental control on fire in most of North America, thereby supporting the claim that its fire activity today-as it has been for millennia-is mainly regulated by top-down controls (Swain 1973, Flannigan et al 2005, Guyette et al 2012).”
Quote in the paperSubstantial claim - Interpretationreasoning
The negative association of wildfire with humans over large areas, such as the hexels, is partly due to greater area burned in some protected areas.
“whereas the negative association of wildfire with humans over large areas, such as our hexels, is partly due to greater area burned in some protected areas”
Quote in the paperNot a substantial claim - Interpretationreasoning
Even the use of multiple indexes can probably not describe all important human impacts on fire.
“Even our use of multiple indexes can probably not describe all important human impacts.”
Quote in the paperNot a substantial claim - Interpretationown data
At the spatiotemporal frame of this study, anthropogenic factors that impede fire activity (e.g., suppression, landscape fragmentation) outweigh those that promote it (e.g., ignitions) in North America.
“This provides further support to the idea that, at the spatiotemporal frame of this study, the anthropogenic factors that impede fire activity (e.g., suppression, landscape fragmentation) outweigh those that promote it (e.g., ignitions) in North America.”
Quote in the paperSubstantial claim - Interpretationreasoning
Roadless volume represents a more accurate depiction of the degree of isolation from human activities than population density and the Human Footprint Index.
“The roadless volume represents a more accurate depiction of the degree of isolation from human activities than the population density and the Human Footprint Index.”
Quote in the paperSubstantial claim - Interpretationown data
One of the most surprising aspects of this study's results is the relatively strong influence of humans on fire activity across North America.
“One of the most surprising aspects of this study's results is the relatively strong influence of humans on fire activity across North America.”
Quote in the paperNot a substantial claim - Study design and conductown data
Comparison among hexels is complicated by the widely varying range of values in the three anthropogenic variables.
“comparison among hexels is complicated by the widely varying range of values in the three anthropogenic variables.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
Even though an effort was made to statistically control for other variables, the influence of anthropogenic variables may still conflate with non-anthropogenic variables in some parts of North America.
“even though an effort was made to statistically control for the effects of other variables, the influence of anthropogenic variables may still conflate with non-anthropogenic variables in some parts of North America.”
Quote in the paperNot a substantial claim - Study design and conductown data
Explorations showed that the size and placement of hexels represent a good tradeoff between capturing subcontinental variability in fire activity and producing robust models of fire activity across the study area.
“Explorations showed that this size and placement of hexels represent a good tradeoff between capturing subcontinental variability in fire activity and producing robust models of fire activity across the study area.”
Quote in the paperSubstantial claim - Interpretationown data
The results suggest that the human impact on fire regimes is widespread and pervasive.
“The results of this study similarly suggest that the human impact on fire regimes is widespread and pervasive.”
Quote in the paperSubstantial claim - Interpretationcitation
There are other 'nonnatural' controls that exert an influence on fire, even overriding the effect of climate in some portions of the continent.
“There are clearly, however, other 'nonnatural' controls that exert an influence on fire, even overriding the effect of climate in some portions of the continent, as shown by Hawbaker et al (2013) in the conterminous US.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hawbaker et al 2013
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- Interpretationcitation
The high anthropogenic impact of the Midwest (hex4, hex8), Great Plains (hex5, hex9), and Gulf of Mexico (hex2, hex4) is aligned with expectations, as these areas have undergone widespread land conversions and are at a more advanced stage of anthropogenic fire-regime transformation.
“More aligned with our expectations was the high anthropogenic impact of the Midwest (hex4, hex8), Great Plains (hex5, hex9), and Gulf of Mexico (hex2, hex4), areas that have undergone widespread land conversions and that are at a more advanced stage of anthropogenic fire-regime transformation (Guyette et al 2002, Bowman et al 2011).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Guyette et al 2002
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- cites Bowman et al 2011
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- Study design and conductown data
Considering areas as burned or unburned over the 31-year period and not distinguishing areas that may have burned more than once was deemed the most suitable approach given the low proportion of reburned areas during the study time period.
“We considered areas as either burned or unburned over the 31 year time period and did not distinguish areas that may have burned more than once.This approach was deemed the most suitable given the low proportion of reburned areas during the study time period (∼8% of the total area burned).”
Quote in the paperSubstantial claim - Premisecitation
Published studies have been carried out at various temporal and spatial scales and using different data types and modeling techniques, thereby preventing an unbiased comparison among regions.
“Moreover, published studies have been carried out at various temporal and spatial scales and using different data types and modeling techniques, thereby preventing an unbiased comparison among regions (but see Bistinas et al 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bistinas et al 2013
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- Interpretationcitation
Overall, the results agree with Knorr et al (2014) and Hantson et al (2015), who found a globally negative relationship between fire and population density.
“Overall, our results agree with those of Knorr et al (2014) and Hantson et al (2015), who found a globally negative relationship between fire and population density, and are coherent with the conclusions of Marlon et al (2008) and Mouillot and Field (2005), who reported a decrease in area burned in relation to increased population trends in boreal and temperate biomes.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Knorr et al 2014
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- cites Hantson et al 2015
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- Premisecitation
Any large-scale effect of population density on fire activity can be confounded by the type of human activities on the landscape.
“Any large-scale effect of population density on fire activity can be confounded by the type of human activities on the landscape (Hawbaker et al 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hawbaker et al 2013
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- Premisecitation
Humans influence aspects of the fire regime other than fire frequency or area burned.
“Humans influence aspects of the fire regime other than fire frequency or area burned.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Le Page et al 2010
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- Interpretationown data
This study points to a general impeding effect of people on fire across North America.
“While this study points to a general impeding effect of people on fire across North America”
Quote in the paperSubstantial claim - Interpretationreasoning
There may be few truly natural fire regimes in North America today.
“The results of this study suggest that there may be few truly natural fire regimes in North America today.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Except for the percentage of permanent nonfuel, the fire probability models of this study did not explicitly consider vegetation.
“Except for the percentage of permanent nonfuel, the fire probability models of this study did not explicitly consider vegetation.”
Quote in the paperSubstantial claim - Premisecitation
Parisien and Moritz (2009) showed there was virtually no loss of model performance when vegetation class was removed from models of fire activity built for the conterminous US that included several climate variables.
“Parisien and Moritz (2009) showed there was virtually no loss of model performance when vegetation class was removed from models of fire activity built for the conterminous US that included several climate variables.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Parisien and Moritz (2009)
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- Interpretationcitation
Humans can distort or mask fire-climate relationships, thereby undermining the ability to predict current and future fire activity in a changing climate.
“humans can indeed distort or mask fire-climate relationships, thereby undermining our ability to predict current and future fire activity in a changing climate (Parks et al 2014).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Parks et al 2014
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- Study design and conductreasoning
In a presence-only framework, it is impossible to achieve an AUC value of 1 because absences (hence false positives) are unknown.
“However, in a presence-only framework, as in this study, it is impossible to achieve an AUC value of 1 because absences (hence false positives) are unknown.”
Quote in the paperNot a substantial claim - Premisecitation
Vegetation variables are highly correlated with climatic gradients at the spatiotemporal scale of this study.
“they are also highly correlated with climatic gradients at the spatiotemporal scale of study.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Parisien and Moritz (2009)
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- Classified as probably not a substantial claim. 28
- May combine two claims. 28
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe bivariate relationship between fire activity and anthropogenic variable shows broadly similar patterns to the partial dependence plots.
“The bivariate relationship between fire activity and anthropogenic variable show broadly similar patterns to the partial dependence plots (figure D1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAll three anthropogenic variables were useful in explaining fire probability models, but their relative importance varied substantially among hexels.
“All three anthropogenic variables were useful in explaining fire probability models, but their relative importance varied substantially among hexels.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAnthropogenic effects were usually substantially greater than enduring features and lightning, and even greater than climate in some areas.
“Anthropogenic effects were usually substantially greater than enduring features and lightning, and even greater than climate in some areas.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEnduring features ranked third in terms of importance in all hexels except four (hex1, hex5, hex8, hex10), where this category was the least important and lightning had the third-highest contribution.
“Enduring features ranked third in terms of importance in all hexels except four (hex1, hex5, hex8, hex10), where this category was the least important and lightning had the third-highest contribution.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe relationship between fire activity and human influence varied as a function of the specific anthropogenic variable, but was overall fairly coherent among hexels.
“The relationship between fire activity and human influence varied as a function of the specific anthropogenic variable, but was overall fairly coherent among hexels.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFire activity increased monotonically as a function of RdlsVol in some hexels (hex3, hex4, hex5, hex6, hex7, hex13), decreased in some hexels (hex10, hex12, hex15, hex16), and was unimodal in others (hex3, hex8, hex9, hex14).
“Fire activity increased monotonically as a function of RdlsVol in some hexels (hex3, hex4, hex5, hex6, hex7, hex13), decreased in some hexels (hex10, hex12, hex15, hex16), and was unimodal in others (hex3, hex8, hex9, hex14).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataArea burned usually decreased as a function of increasing LogPopDens, except in hexels where there was a strong (hex8) or moderate unimodal response (hex1, hex2, and hex3).
“Area burned usually decreased as a function of increasing LogPopDens, except in hexels where there was a strong (hex8) or moderate unimodal response (hex1, hex2, and hex3) (figure 3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn some parts of the continent (southwestern US, Florida, and the Great Lakes area), the authors observed the unimodal relationship reported by Syphard et al (2007), whereby the peak in fire ignitions occurred at intermediate population densities, suggesting that both intense human activity and the near absence of humans is associated with fewer fires.
“In some parts of the continent (southwestern US, Florida, and the Great Lakes area), we observed the unimodal relationship reported by Syphard et al (2007), whereby the peak in fire ignitions occurred at intermediate population densities, suggesting that both intense human activity and the near absence of humans is associated with fewer fires.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Syphard et al 2007
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May combine two claims.
Findingown dataThe HumanFoot variable had a decaying form in all hexels, though the range of slopes varied considerably.
“The HumanFoot variable had a decaying form in all hexels, though the range of slopes varied considerably (figure 4).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe anthropogenic category was ranked as the most important in four hexels (hex2, hex7, hex9, hex12) and the second-most important in the remaining 12 hexels.
“The anthropogenic category was ranked as the most important in four hexels (hex2, hex7, hex9, hex12) and the second-most important in the remaining 12 hexels.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe test AUC averaged 0.776 among hexels and ranged from 0.672 (hex13) to 0.891 (hex8).
“The test AUC averaged 0.776 among hexels, and ranged from 0.672 (hex13) to 0.891 (hex8).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAlmost a century of active fire suppression has led to unintended biomass accumulation that consequently increased the average size and intensity, as well as ecological impact, of modern fires.
“Almost a century of active fire suppression has led to unintended biomass accumulation that consequently increased the average size and intensity, as well as ecological impact, of modern fires (Keane et al 2002).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Keane et al 2002
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Classified as probably not a substantial claim. May combine two claims.
PremisecitationAlthough recent increases in fire activity have been largely attributed to a warmer and drier climate, it is increasingly recognized that in some areas humans may have played a role.
“Although this phenomenon has been largely attributed to a warmer and drier climate, it is increasingly recognized that, in some areas, humans may have played a role (Stephens et al 2007, McWethy et al 2013).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Stephens et al 2007
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- cites McWethy et al 2013
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PremisecitationMany regions where human ignitions are prevalent are also subject to intense fire management programs aimed at extinguishing fires before they become large.
“Globally, humans are usually responsible for the majority of ignitions; however, many regions where human ignitions are prevalent are also subject to intense fire management programs aimed at extinguishing fires before they become large (Stocks et al 2002, Stephens 2005).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Stocks et al 2002
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- cites Stephens 2005
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PremisecitationSome recent increases in fire activity in parts of the continent, notably in the west, may be due to a legacy of fire management policies that were too successful.
“Paradoxically, some of the recent increases in fire activity in parts of the continent, notably in the west, may be due to a legacy of fire management policies that were too successful (Stephens and Ruth 2005).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Stephens and Ruth 2005
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Classified as probably not a substantial claim.
PremisecitationIn many parts of the world, people increase fire activity beyond what is naturally expected by deliberately or accidentally setting fire to natural vegetation.
“In many parts of the world, people increase fire activity beyond what is naturally expected by deliberately or accidentally setting fire to natural vegetation (Carcaillet et al 2009, Bowman et al 2011).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Carcaillet et al 2009
Not checked in the free run.
- cites Bowman et al 2011
Not checked in the free run.
May combine two claims.
InterpretationreasoningThe remote least-disturbed areas often have lower lightning densities, leading the authors to believe they may be ignition limited at the spatiotemporal scale of the study.
“These remote areas, however, also often have lower lightning densities, leading us to believe that they may be ignition limited at the spatiotemporal scale of the study.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe heavily populated regions of southeastern North America, where a culture of prescribed burning has existed for centuries, have highly active fire regimes that are largely human dominated.
“In contrast, the heavily populated regions of southeastern North America, where a culture of prescribed burning has existed for centuries, have highly active fire regimes that are largely human dominated (Waldrop et al 1992, Slocum et al 2007).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Waldrop et al 1992
Not checked in the free run.
- cites Slocum et al 2007
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn other regions or ecosystems, such as parts of North America, land-use change and a culture of aggressive fire suppression may limit fire activity.
“Conversely, in other regions or ecosystems of the world, such as in parts of North America, land-use change and a culture of aggressive fire suppression may limit fire activity (Cumming 2005, Finney et al 2009).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Cumming 2005
Not checked in the free run.
- cites Finney et al 2009 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGlobally, humans are usually responsible for the majority of ignitions.
“Globally, humans are usually responsible for the majority of ignitions; however, many regions where human ignitions are prevalent are also subject to intense fire management programs aimed at extinguishing fires before they become large (Stocks et al 2002, Stephens 2005).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Stocks et al 2002
Not checked in the free run.
- cites Stephens 2005
Not checked in the free run.
May combine two claims.
PremisecitationAn initial surge in area burned at the time of European settlement due to slash-and-burn practices in some areas was followed by a large-scale reduction in fire activity largely due to fire suppression and human modifications to natural vegetation cover.
“An initial surge in area burned at the time of settlement due to slash-and-burn practices in some areas (Weir and Johnson 1998) was followed by a large-scale reduction in fire activity that was largely the result of fire suppression and human modifications to the natural vegetation cover (Marlon et al 2008).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Weir and Johnson 1998
Not checked in the free run.
- cites Marlon et al 2008
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThe authors selected a subset of variables that were not highly correlated with one another and also had good explanatory power for predicted area burned across North America.
“Although a large set of independent variables was initially considered for modeling, we selected a subset of variables that were not highly correlated with one another and also had good explanatory power for predicted area burned across North America (table 1; figure B1).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningAt the forest/tundra transition characterizing the northernmost band of hexels, the presumed human influence may be partly masked by other gradients in climate and vegetation.
“This may be the case at the forest/tundra transition characterizing the northernmost band of hexels, for example, where the presumed human influence may be partly masked by other gradients in climate and vegetation.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
InterpretationcitationFire activity today-as it has been for millennia-is mainly regulated by top-down controls.
“Climate is nevertheless the dominant environmental control on fire in most of North America, thereby supporting the claim that its fire activity today-as it has been for millennia-is mainly regulated by top-down controls (Swain 1973, Flannigan et al 2005, Guyette et al 2012).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Swain 1973
Not checked in the free run.
- cites Flannigan et al 2005
Not checked in the free run.
- cites Guyette et al 2012
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAs observed in this study, Bistinas et al (2013) found this relationship to be spatially variable, but there are discrepancies in the direction of relationships (positive and negative) between the two studies.
“As observed in this study, Bistinas et al (2013) found this relationship to be spatially variable, but there are discrepancies in the direction of relationships (positive and negative) between the two studies.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bistinas et al 2013
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Study design and conductnone givenTwo limitations with the fire data-inconsistent reporting from 1984 to 1995 in Ontario north of 54°N and unmapped or incorrectly mapped unburned islands for many fire perimeters-are not expected to greatly affect estimates of area burned at the spatial extent of a hexel.
“We noted two limitations with these data: (1) fires were inconsistently reported from 1984 to 1995 in Ontario north of 54°N and (2) unburned islands were not mapped (or incorrectly mapped) for many of the fire perimeters in the dataset.Neither limitation is expected to greatly affect estimates of area burned at the spatial extent of a hexel.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationSome of the most remote areas of the western US may be ignition limited because they encompass high mountains and because lightning ignitions are deficient at very high elevations.
“Some of the most remote areas of the western US may also be ignition limited simply because they encompass some of the highest mountains and because lightning ignitions are deficient at very high elevations (Dissing and Verbyla 2003) (figure E1).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dissing and Verbyla 2003
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenPartial dependence plots measure the effect of a variable when the value of all other variables are held constant at their means, to statistically control for the effect of non-anthropogenic variables on fire probability.
“We use partial dependence plots, which measure the effect of a variable when the value of all other variables are held constant at their means, to statistically control for the effect of non-anthropogenic variables on fire probability.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe invasion of exotic cheatgrass species has profoundly modified fire regimes in parts of the western US.
“the invasion of exotic cheatgrass species (Bromus spp.) have profoundly modified fire regimes in parts of the western US (Balch et al 2013, Parks et al 2015)”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Balch et al 2013
Not checked in the free run.
- cites Parks et al 2015
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningA large number of fire presences and background points were sampled to ensure that the appropriate degree of variability was captured for statistical modeling.
“A large number of fire presences and background points were sampled to ensure that the appropriate degree of variability was captured for statistical modeling.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThough the results show a remarkably coherent negative influence of humans on fire, the specific nature-and hence outcome-of the human-fire relationship is far from uniform.
“Though our results show a remarkably coherent negative influence of humans on fire, the specific nature-and hence outcome-of the human-fire relationship is far from uniform.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Study design and conductnone givenThe 30-year climate variables for 1981-2010 represent a slight mismatch to the fire data time period but are not expected to greatly influence the results.
“This time period represents a slight mismatch to that of the fire data , but is not expected to greatly influence the results.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe authors opted for a regularization value of four and did not use the 'hinge' feature, which tends to produce unrealistic (i.e., overfit) responses.
“To this end, we opted for a regularization value of four and did not use the 'hinge' feature, which tends to produce unrealistic (i.e., overfit) responses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningOver areas where humans are responsible for most or all of the fire ignitions, the relationship between wildfire and humans could be positive.
“this relationship could in fact be positive over areas where humans are responsible for most (or all) of the fire ignitions.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe stretch of values in roadless volume is more heavily weighted towards distance from roads (low-impact areas), translating into a more diverse set of human-fire relationships.
“That is, the 'stretch' of values in this metric is more heavily weighted towards the distance from roads (i.e., low-impact areas), translating into a more diverse set of human-fire relationships.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenThe lightning dataset had only partial overlap with the study time period and a coarser resolution than the other variables, but was deemed acceptable for depicting lightning strike patterns at the spatial scale of the study.
“In spite of the lightning dataset having only partial overlap with the time period of the study and a coarser resolution than the other variables, it was deemed acceptable for depicting lightning strike patterns at the spatial scale of this study.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationParisien et al (2011) observed a consistently negative response of area burned to the Human Footprint Index at four spatial scales in the boreal forest of Canada.
“Parisien et al (2011) observed a consistently negative response of area burned to the Human Footprint Index at four spatial scales in the boreal forest of Canada.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Parisien et al (2011)
Not checked in the free run.
May combine two claims.
Study design and conductcitationTo reduce spatial autocorrelation in model residuals, a random subset of total fire-presence points was selected for model building, 100 such subsets were used and their results averaged, and this strategy was appropriate across the study area because it limited overfitting while yielding robust models of area burned for each hexel.
“To reduce spatial autocorrelation in model residuals, a random subset of total fire-presence points were selected for model building.One hundred such subsets were used and their results were subsequently averaged (see Parisien et al 2012).This strategy was appropriate across the study area because it limited overfitting while yielding robust models of area burned for each hexel.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Parisien et al 2012
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationModel evaluation followed the method of Parisien et al (2012) and was performed on each of the 100 subset models and subsequently averaged for each hexel.
“Model evaluation followed the method of Parisien et al (2012) and was performed on each of the 100 subset models and subsequently averaged for each hexel.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Parisien et al (2012)
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenIt is usually impossible to know the state of the vegetation at the time of burning.
“it is usually impossible to know the state of the vegetation at the time of burning.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAnthropogenic effects on fire across North America are complex and variable, as variable as the biophysical environment that defines them.
“it also paints a complex picture of anthropogenic effects on fire across the continent-one where fire is as variable as the biophysical environment that defines it.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHuman-induced changes to the seasonality of fire occurrence may lead to fairly drastic ecological changes in some biomes.
“human-induced changes to the seasonality of fire occurrence, though difficult to detect, may lead to fairly drastic ecological changes in some biomes (Le Page et al 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Le Page et al 2010
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationVegetation-related variables have often been incorporated into large-scale biophysical models of fire.
“vegetation-related variables have been often incorporated into to large-scale biophysical models of fire (Sturtevant and Cleland 2007, Hawbaker et al 2013, Liu and Wimberly 2015).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Sturtevant and Cleland 2007
Not checked in the free run.
- cites Hawbaker et al 2013
Not checked in the free run.
- cites Liu and Wimberly 2015
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThere is compelling evidence that biota affects spatial and temporal patterns of fire activity.
“There is compelling evidence that biota affects spatial and temporal patterns of fire activity (Girardin et al 2013, Terrier et al 2013)”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Girardin et al 2013
Not checked in the free run.
- cites Terrier et al 2013
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenUsing the percentage of pixels where fire was observed as a provides a fair, yet underestimated, approximation of prevalence.
“This provides a fair, yet underestimated, approximation of prevalence.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLiu and Wimberly (2015) found that humans had a greater impact on fire size than fire occurrence of high-severity burns in the western US.
“Liu and Wimberly (2015), for example, found that humans had a greater impact on fire size than fire occurrence of high-severity burns in the western US.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Liu and Wimberly (2015)
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Study design and conductnone givenDetailed vegetation information at the time of burn would have likely substantially improved the models.
“detailed vegetation information at the time of burn would have likely substantially improved our models.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
In North America, the influence of humans on fire activity is highly variable, ranging from extreme in areas of high population and altered land use to seemingly negligible in unmanaged wildlands.
“In North America, the influence of humans on fire activity is assumed to be highly variable, ranging from extreme in areas of high population and altered land use to seemingly negligible in unmanaged wildlands.”
The authors state this as an assumption.
The most natural fire regimes of North America occur in the northern forests of Canada and Alaska.
“The most natural fire regimes of North America are presumed to occur in the northern forests of Canada and Alaska (Flannigan et al 2009).”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Geographic variation in regional and continental-scale fire activity in the US is strongly associated with proxies for human-caused changes such as population density, road density, and land-use and development patterns.
“Geographic variability in regional and continental-scale fire activity in the United States is strongly tied to proxies for these human-caused changes, including population and road density, and different land-use and development patterns (10–15).”
From Human-started wildfires expand the fire niche across the United States (2017) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Hex4 is omitted from the hexels where anthropogenic variables rank first
MajorThe three anthropogenic contributions in Hex4's full model sum to 54.28%. Because the variable-category contributions are percentages of the full model, anthropogenic influence must rank first in Hex4, yet the text says it ranks first only in Hex2, Hex7, Hex9, and Hex12.
“The anthropogenic category was ranked as the most important in four hexels (hex2, hex7, hex9, hex12) and the second-most important in the remaining 12 hexels.”
“| Hex4 | 44.5 | 34.4 | 44.4 | 15.3 | 75.7 | 4.58 |”
Hex3 roadless-volume response is described as both monotonic and unimodal
MinorThe results place Hex3 in both the monotonically increasing and unimodal groups for the same roadless-volume response.
“Fire activity increased monotonically as a function of RdlsVol in some hexels (hex3, hex4, hex5, hex6, hex7, hex13), decreased in some hexels (hex10, hex12, hex15, hex16), and was unimodal in others (hex3, hex8, hex9, hex14).”
“The response to the RdlsVol was the most diverse of the three anthropogenic variables (figure 5).”
Adjusted AUC decreases for Hex6
MinorThe results state that AUC values increased after adjustment for prevalence, but Table C1 gives Hex6 a test AUC of 0.881 and a lower adjusted AUC of 0.877.
“AUC values increased, sometimes substantially, when adjusted for prevalence (mean 0.804).”
“| Hex6 | 0.881 | 0.877 | 0.249 | 0.118 |”
Nonfuel moving-window size differs between text and table
MinorThe methods say the nonfuel variable retained for modeling used a 10,000 km2 scale, while Table 1 describes the modeled variable as using a 1,000 km2 moving window.
“PctNonfuel at the 10 000 km 2 scale was retained for modeling.”
“| PctNonfuel | Percent nonfuel at a 1000 km 2 moving window size. Non- | % | 4.5 (0-99.7) |”
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“For instance, the invasion of exotic cheatgrass species (Bromus spp.) have profoundly modified fire regimes in parts of the western US (Balch et al 2013, Parks et al 2015), but are not fully captured by our three indexes.”
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Self-citationWildland fire deficit and surplus in the western United States, 1984–2012
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Effective fire suppression in boreal forests
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Roadless Space of the Conterminous United States
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Human and biophysical factors influencing modern fire disturbance in northern Wisconsin
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Self-citation
Flagged first, then by citations
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Sorted by citations
Classifying drivers of global forest loss
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Self-citationFire activity and burned forest lands decreased during the last three decades in Spain
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- Authors
- Parisien, M.-A., Miller, C., Parks, S. A., DeLancey, E. R., Robinne, F.-N., & Flannigan, M. D.
- Affiliations
- Canadian Forest Service (CA)
- US Forest Service (US)
- University of Alberta (CA)
- Corresponding author
- Parisien, Marc-André
- ORCID
- Venue
- Environmental Research Letters
- Publisher
- IOP Publishing
- Published
- 2016-07-01
- Volume
- 11
- Issue
- 7
- Pages
- 075005
- ISSN
- 1748-9326 (ISSN-L)
- OpenAlex
- W2494719605
- Semantic Scholar
- 1b1641f1b12b465a2cb6aad94d8f05c6404bd604
- Cited by
- 166
- References
- 77
- Citations by year
- 2026: 11 · 2025: 7 · 2024: 13 · 2023: 15 · 2022: 17 · 2021: 31 · 2020: 12 · 2019: 20 · 2018: 21 · 2017: 16 · 2016: 3
- FWCI
- 14.83
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Environmental Research Letters (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Adaptation Program of Natural Resources Canada
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Ecology › Rangeland and Wildlife Management
- Physical Sciences › Environmental Science › Global and Planetary Change › Forest Management and Policy
- Keywords
- wildfire probability, Human Footprint Index, population density, lightning ignition, fire suppression, vegetation change, climate and fire, topography, remote areas, North America
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
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