Cited by 166Fire effects on ecosystemsRangeland and Wildlife ManagementForest Management and Policy

The spatially varying influence of humans on fire probability in North America

Open access

Abstract

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

Crossref · 10.1088/1748-9326/11/7/075005

Cites

77 of 77 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

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
  • 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 data

    The 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 claim
  • May combine two claims.

    Findingown data

    All 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 claim
  • May combine two claims.

    Findingown data

    Anthropogenic 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    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).

    “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 claim
  • May combine two claims.

    Findingown data

    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).

    “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 claim
  • May combine two claims.

    Findingown data

    In 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

      Not checked in the free run.

  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    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.

    “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.

    Premisecitation

    Although 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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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Many 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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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Some 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.

    Premisecitation

    In 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

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    • cites Bowman et al 2011

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  • May combine two claims.

    Interpretationreasoning

    The 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 claim
  • May combine two claims.

    Premisecitation

    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.

    “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

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    • cites Slocum et al 2007

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    In 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

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Globally, 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

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  • May combine two claims.

    Premisecitation

    An 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

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    • cites Marlon et al 2008

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  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductown data

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    At 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 claim
  • The quote only partly states this claim.

    Interpretationcitation

    Fire 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

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    • cites Flannigan et al 2005

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    • cites Guyette et al 2012

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  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    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.

    “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

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  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Study design and conductnone given

    Two 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 claim
  • May combine two claims.

    Interpretationcitation

    Some 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

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  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductnone given

    Partial 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The 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

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    • cites Parks et al 2015

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  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    A 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 claim
  • May combine two claims.

    Interpretationown data

    Though 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Study design and conductnone given

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductreasoning

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    Over 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 claim
  • May combine two claims.

    Interpretationreasoning

    The 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductnone given

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    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.

    “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)

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  • May combine two claims.

    Study design and conductcitation

    To 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

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  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductcitation

    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.

    “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)

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  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given

    It 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 claim
  • May combine two claims.

    Interpretationreasoning

    Anthropogenic 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Human-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

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Vegetation-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

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    • cites Hawbaker et al 2013

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    • cites Liu and Wimberly 2015

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  • Classified as probably not a substantial claim.

    Premisecitation

    There 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

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    • cites Terrier et al 2013

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  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Study design and conductnone given

    Using 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Liu 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 given

    Detailed 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
47 of 47
  • 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).”
2 of 2

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).”

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

    Major

    The 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.

  • Hex3 roadless-volume response is described as both monotonic and unimodal

    Minor

    The results place Hex3 in both the monotonically increasing and unimodal groups for the same roadless-volume response.

  • Adjusted AUC decreases for Hex6

    Minor

    The 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.

  • Nonfuel moving-window size differs between text and table

    Minor

    The 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.

4 of 4

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. Collins S L, 1990, Fire in North American Tallgrass Prairies
  2. ESRI, 2008, Tele Atlas North America: StreetMap 2008 North America
  3. Guyette R P, 2002, Ecosystems, 5, 472
  4. Keane R E, 2002, Rocky Mountain Futures: an Ecological Perspective, 133
  5. Vale T, 2002, Fire, Native Peoples, and the Natural Landscape

Cited by

Sorted by citations

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
Venue
Environmental Research Letters
Published
2016-07-01
Volume
11
Issue
7
Pages
075005
ISSN
1748-9326 (ISSN-L)
OpenAlex
W2494719605
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
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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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