Climate change and disruptions to global fire activity
Open accessAbstract
Future disruptions to fire activity will threaten ecosystems and human well‐being throughout the world, yet there are few fire projections at global scales and almost none from a broad range of global climate models (GCMs). Here we integrate global fire datasets and environmental covariates to build spatial statistical models of fire probability at a 0.5° resolution and examine environmental controls on fire activity. Fire models are driven by climate norms from 16 GCMs (A2 emissions scenario) to assess the magnitude and direction of change over two time periods, 2010–2039 and 2070–2099. From the ensemble results, we identify areas of consensus for increases or decreases in fire activity, as well as areas where GCMs disagree. Although certain biomes are sensitive to constraints on biomass productivity and others to atmospheric conditions promoting combustion, substantial and rapid shifts are projected for future fire activity across vast portions of the globe. In the near term, the most consistent increases in fire activity occur in biomes with already somewhat warm climates; decreases are less pronounced and concentrated primarily in a few tropical and subtropical biomes. However, models do not agree on the direction of near‐term changes across more than 50% of terrestrial lands, highlighting major uncertainties in the next few decades. By the end of the century, the magnitude and the agreement in direction of change are projected to increase substantially. Most far‐term model agreement on increasing fire probabilities (∼62%) occurs at mid‐ to high‐latitudes, while agreement on decreasing probabilities (∼20%) is mainly in the tropics. Although our global models demonstrate that long‐term environmental norms are very successful at capturing chronic fire probability patterns, future work is necessary to assess how much more explanatory power would be added through interannual variation in climate variables. This study provides a first examination of global disruptions to fire activity using an empirically based statistical framework and a multi‐model ensemble of GCM projections, an important step toward assessing fire‐related vulnerabilities to humans and the ecosystems upon which they depend.
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Written from the paper’s full text.
TL;DR
This paper builds global statistical fire-probability models from remotely sensed fire observations and environmental covariates, then drives them with 16 CMIP3 GCMs under the A2 scenario for 2010–2039 and 2070–2099. It projects substantial but spatially heterogeneous disruptions, with increasing fire agreement strongest at mid-to-high latitudes and decreasing fire agreement mainly in the tropics.
Key findings
- Near-term (2010–2039), 37.8% of terrestrial area shows model agreement for increased fire probability, 8.1% for decreased fire probability, and 54.1% has low agreement; far-term (2070–2099), agreement rises to 61.9% for increases, 20.2% for decreases, and 17.9% low agreement.
- By 2070–2099, about 82% of the globe shows consensus on disruptions in fire activity; increases dominate at mid-to-high latitudes, while decreases are concentrated in tropical and subtropical biomes.
- Baseline models discriminate fire-prone areas well: uncorrected AUC is 0.67 for “Climate + Baseline NPP” and 0.66 for “Climate only”; adjusted for prevalence, AUC is 0.93 and 0.92, respectively.
- NPP is the most important variable in the “Climate + Baseline NPP” models (37.6% relative contribution); in “Climate only” models, mean temperature of the warmest month (27.6%) and annual precipitation (24.0%) dominate.
Methods
- Global terrestrial 0.5° grid excluding Antarctica and small islands; fire data combine screened ATSR (1996–2006) and MODIS (2001–2007) active-fire observations into a binary consensus fire/no-fire surface sampled at 50-km spacing.
- MaxEnt presence-only models use five climate variables plus NPP for near-term “Climate + Baseline NPP” projections and climate-only variables for far-term projections; each GCM has 100 bootstrapped replicates, with 1% of fire observations (377 training points) per replicate.
- Climate drivers come from 16 CMIP3 GCMs under the A2 scenario, downscaled to 0.5°, with baseline 1971–2000 and future periods 2010–2039 and 2070–2099; analyses assess ensemble mean change, GCM agreement thresholds (≥2/3 and ≥9/10), biome patterns, and most limiting factors.
Limitations
- The paper states that models use long-term climate norms and only indirectly capture short-term/interannual variability; future work is needed to assess whether interannual variation would add large global improvements or marginal refinements.
- The paper notes GCM uncertainty, especially for precipitation, and cautions that model agreement is no guarantee; NPP is included near-term but not far-term, and human influences such as fire suppression, land development, and future anthropogenic ignitions are not explicitly modeled.
- The text also makes evident limitations from the fire datasets: smoldering peatland fires may evade detection, some non-vegetation fires may remain after screening, the 12-year fire record is shorter than the climate baseline, and presence-only MaxEnt outputs are relative probabilities rather than absolute fire frequencies.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 72 cited sources checked · 0 supported · 0 flagged
- Findingown data
Models do not agree on the direction of near-term changes across more than 50% of terrestrial lands.
“However, models do not agree on the direction of nearterm changes across more than 50% of terrestrial lands, highlighting major uncertainties in the next few decades.”
- Also stated in: § Projected future fire probabilities · plain
“however, more than half of the world also shows low agreement in near-term changes (54.1%).”
Quote in the paperSubstantial claim - Also stated in: § Projected future fire probabilities · plain
- Findingown data
Most far-term model agreement on decreasing fire probabilities (~20%) is mainly in the tropics.
“agreement on decreasing probabilities (;20%) is mainly in the tropics.”
- Also stated in: § Projected future fire probabilities · plain
“almost one quarter of the terrestrial globe (20.2%) shows model agreement for projected decreases in fire by the end of the 21st century, largely in the tropics and sub-tropics.”
Quote in the paperSubstantial claim - Also stated in: § Projected future fire probabilities · plain
- Findingown data
Long-term environmental norms are very successful at capturing chronic fire probability patterns.
“Although our global models demonstrate that long-term environmental norms are very successful at capturing chronic fire probability patterns, future work is necessary to assess how much more explanatory power would be added through interannual variation in climate variables.”
Quote in the paperSubstantial claim - Findingown data
Most far-term model agreement on increasing fire probabilities (~62%) occurs at mid- to high latitudes.
“Most far-term model agreement on increasing fire probabilities (;62%) occurs at mid-to high-latitudes”
Quote in the paperSubstantial claim - Findingown data
In the near term (2010-2039), the most consistent increases in fire activity occur in biomes with already somewhat warm climates.
“In the near term, the most consistent increases in fire activity occur in biomes with already somewhat warm climates; decreases are less pronounced and concentrated primarily in a few tropical and subtropical biomes.”
Quote in the paperSubstantial claim
- Findingnone given
Projected changes in fire probability are on the whole comparable among A2 and B1 scenarios.
“Although the projected changes in fire probability are on the whole comparable among A2 and B1 scenarios, regional discrepancies will require additional analysis to discern their differences.”
Quote in the paperNot a substantial claim - Findingown data
The paper's projections, based on norms of key environmental controls on long-term fire probabilities, reveal tremendous heterogeneity in future fire patterns across the planet and in the variables driving expected changes.
“Our projections, which are based on norms of key environmental controls on long-term fire probabilities, reveal tremendous heterogeneity in future fire patterns across the planet, as well as the variables driving expected changes.”
Quote in the paperSubstantial claim - Findingreasoning
Many areas are expected to experience decreased fire probabilities, particularly in the far term.
“Although not as prevalent at a global scale, many areas are also expected to experience decreased fire probabilities, particularly in the far term.”
Quote in the paperNot a substantial claim - Findingown data
These out-of-range increases are confined to some of the warmest parts of the world in most GCMs (notably the Saharan and Arabian deserts and northern India).
“Furthermore, these out-of-range increases are confined to some of the warmest parts of the world in most GCMs (notably the Saharan and Arabian deserts and northern India).”
Quote in the paperNot a substantial claim - Findingnone given
NPP is the most limiting factor in more arid areas, or those with a limited growing season, such as deserts and xeric shrublands, tundra, and temperate/grasslands/savannas/shrublands.
“Not surprisingly, NPP is the most limiting factor in more arid areas, or those with a limited growing season, such as deserts and xeric shrublands, tundra, and temperate/grasslands/savannas/shrublands.”
Quote in the paperSubstantial claim - Findingnone given
In the near term, the majority of the globe (approximately 55%) shows low agreement in the direction of projected change.
“In the near term, despite consensus on key areas of increased and decreased fire activity, the majority of the globe (;55%) shows low agreement in the direction of projected change.”
Quote in the paperSubstantial claim - Findingnone given
The ensemble mean change in fire probabilities for many areas of low agreement may be relatively small.
“Even so, the ensemble mean change in fire probabilities for many of these areas of low agreement may, in fact, be relatively small.”
Quote in the paperSubstantial claim - Findingown data
When adjusted for prevalence, the test AUC values are 0.93 and 0.92 for 'Climate + Baseline NPP' and 'Climate only' models, respectively.
“When adjust-ed for prevalence, the test AUC values are 0.93 and 0.92 for ''Climate þ Baseline NPP'' and ''Climate only'' models, respectively.”
Quote in the paperNot a substantial claim - Findingown data
The driest regions of the mid-latitudes and the Australian continent, which comprise most of the world's deserts, are projected to experience consistent and extensive increases in fire probabilities.
“The driest regions of the mid-latitudes and the Australian continent, which comprise most of the world's deserts, are projected to experience consistent and extensive increases in fire probabilities.”
Quote in the paperSubstantial claim - Findingown data
Patterns of agreement for projected increases or decreases in fire probability correspond to those of ensemble mean changes to a large degree, but not perfectly.
“Patterns of agreement for projected increases or decreases in fire probability (Fig. 6B and 6D) correspond to those of ensemble mean changes to a large degree, but not perfectly.”
Quote in the paperNot a substantial claim - Findingown data
In the 'Climate + Baseline NPP' models, the NPP variable is by far the most important with a relative importance of 37.6%.
“In the ''Climate þ Baseline NPP'' models, the NPP variable is by far the most important with a relative importance of 37.6%.”
Quote in the paperSubstantial claim - Findingown data
Both 'Climate + Baseline NPP' and 'Climate only' models provide quite good discrimination of fire-prone areas.
“Model evaluation metrics suggest that both ''Climate þ Baseline NPP'' and ''Climate only'' models provide quite good discrimination of fireprone areas.”
Quote in the paperNot a substantial claim - Findingreasoning
Areas with higher fuel loads and limited climate seasonality, such as most tropical and subtropical biomes, appear to be more sensitive to temperature-related variables associated with conditions conducive to burning.
“In contrast, areas with higher fuel loads and limited climate seasonality, such as most tropical and subtropical biomes, appear to be more sensitive to temperature-related variables associated with conditions conducive to burning.”
Quote in the paperSubstantial claim - Findingnone given
Dry broadleaf forests show consistent temperature-driven decreases in fire over the next few decades.
“Although covering much less area, dry broadleaf forests also show consistent temperature-driven decreases in fire over the next few decades.”
Quote in the paperNot a substantial claim - Findingown data
The response curves describing the relationship between fire and each independent variable primarily show a unimodal response, especially in the data ranges where confidence intervals are narrowest.
“The response curves describing the relationship between fire and each independent variable primarily show a unimodal response, especially in the data ranges where confidence intervals are narrowest (Fig. 5).”
Quote in the paperNot a substantial claim - Findingown data
The temperature of the warmest month is the only variable that consistently exceeds its current range of baseline observations.
“Despite dramatic disruptions in fire activity illustrated by the model, supplementary analysis (not shown) indicated that the temperature of the warmest month is the only variable that consistently exceeds its current range of baseline observations.”
Quote in the paperNot a substantial claim - Findingreasoning
Future fire occurrence appears to be primarily a function of the available moisture in many areas.
“future fire occurrence appears to primarily be a function of the available moisture in many areas.”
Quote in the paperSubstantial claim - Findingown data
Both 'Climate + Baseline NPP' and 'Climate only' models predict low fire probabilities wherever biomass is very sparse, such as most deserts, arctic tundra, and ice caps.
“Both ''Climate þ Baseline NPP'' and ''Climate only'' models predict low fire probabilities wherever biomass is very sparse, such as most deserts, arctic tundra, and ice caps.”
Quote in the paperNot a substantial claim - Findingreasoning
By the end of the century there is consensus that the vast majority of the globe (approximately 82%) will experience disruptions in fire activity.
“By the end of the century there is consensus that the vast majority of the globe (;82%) will experience disruptions in fire activity.”
Quote in the paperSubstantial claim - Findingown data
The ensemble mean changes in fire probability are highly variable, both spatially and temporally.
“The ensemble mean v www.esajournals.orgchanges in fire probability are highly variable, both spatially and temporally.”
Quote in the paperSubstantial claim - Findingnone given
Model agreement is strongest for fire increases in both the near and distant future (37.8% and 61.9% of terrestrial areas, respectively).
“Model agreement is strongest for fire increases in both the near and distant future (37.8% and 61.9% of terrestrial areas, respectively).”
Quote in the paperSubstantial claim - Findingown data
All variables included in the models contribute relevant information on the distribution of fire.
“All variables included in the models contribute relevant information on the distribution of fire (Table 1).”
Quote in the paperNot a substantial claim - Findingnone given
The spatial concordance of the paper's projected future fire probabilities varies from those of other published global fire activity predictions.
“As one might expect, the spatial concordance of our projected future fire probabilities varies from those of other published global fire activity predictions.”
Quote in the paperNot a substantial claim - Study design and conductown data
Supplemental comparisons of the change in probability of fire with altered climate using geographic and Behrmann equal area data showed that our geographic sampling framework does not affect outcomes of the study.
“Supplemental comparisons of the change in probability of fire with altered climate using geographic and Behrmann equal area data showed that our geographic sampling framework does not affect outcomes of the study.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Climate can affect biomass resources, atmospheric conditions conducive to combustion, and ignitions in complex ways and over multiple timescales.
“Climate can affect all three of these factors in complex ways and over multiple timescales.”
Quote in the paperSubstantial claim - Interpretationcitation
Climate-induced disruptions to fire activity will occur in many areas.
“Given the strong linkage between fire and climate (e.g., Swetnam and Betancourt 1990, Marlon et al. 2008, Aldersley et al. 2011), there is little doubt that climate-induced disruptions to fire activity will occur in many areas.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Swetnam and Betancourt 1990
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- cites Marlon et al. 2008
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- cites Aldersley et al. 2011
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- Study design and conductreasoning
Due to the presence-only modeling strategy, outcomes from the study are relative probabilities of fire.
“Note that due to the presence-only modeling strategy (see below), outcomes from the study are relative probabilities of fire.”
Quote in the paperSubstantial claim - Premisecitation
The approximately linear relationship between NPP and biomass supports the use of NPP as a metric of vegetation.
“Although it may not fully capture the spatial variation in biomass available to burn, the approximately linear relationship between NPP and biomass (Kindermann et al. 2008) supports the use of NPP as a metric of vegetation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kindermann et al. 2008
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- Interpretationown data
Substantial and rapid shifts in future fire activity are projected across vast portions of the globe.
“Although certain biomes are sensitive to constraints on biomass productivity and others to atmospheric conditions promoting combustion, substantial and rapid shifts are projected for future fire activity across vast portions of the globe.”
Quote in the paperSubstantial claim - Study design and conductnone given
The 1996 to 2007 time period is sufficient to build our fire probability models at the macroscopic scale of the study.
“Although the 1996 to 2007 time period could be considered relatively short for fire observations, it is sufficient to build our fire probability models at the macroscopic scale of the study.”
Quote in the paperSubstantial claim - Study design and conductown data
Supplementary analyses using only fire data for 1996 to 2000, as well as other subsets of the 12-year period, resulted in models with very similar response function shapes and fire probability surfaces to those estimated from the full fire data set.
“However, supplementary analyses using only fire data for 1996 to 2000 (the years of overlap with climate norms), as well as other subsets of the 12-year period, resulted in models with very similar response function shapes and fire probability surfaces to those estimated from the full fire data set.”
Quote in the paperSubstantial claim - Premisecitation
The relative importance of different controls on fire activity, and inherent sources of uncertainty in them, can be separated into short-term environmental fluctuations versus long-term norms.
“The relative importance of different controls on fire activity, as well as inherent sources of uncertainty in them, can be separated into short-term environmental fluctuations versus long-term norms (Fig. 1A).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Zimmermann et al. 2009
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- cites Jentsch et al. 2007
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- Premisecitation
Future projections of fire at the global scale are relatively rare.
“Regardless of the modeling framework, future projections of fire at the global scale are relatively rare (Scholze et al. 2006, Krawchuk et al. 2009, Gonzalez et al. 2010, Liu et al. 2010, Pechony and Shindell 2010).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Scholze et al. 2006
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- cites Krawchuk et al. 2009
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- cites Gonzalez et al. 2010
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- Study design and conductown data
At the temporal and spatial resolution of our study, the 12 years of fire observations provide a stable representation of fire in modern climates.
“This consistent outcome strongly suggests that, at the temporal and spatial resolution of our study, the 12 years of fire observations provide a stable representation of fire in modern climates.”
Quote in the paperSubstantial claim - Interpretationown data
Despite within-biome heterogeneity in fire disruptions, the paper's results are consistent with recent trends of increasing fire in some Mediterranean ecosystems and temperate forests of the western US.
“Despite the observed within-biome heterogeneity in fire disruptions, our results are consistent with recent trends of increasing fire in some Mediterranean ecosystems (e.g., Piñol et al. 1998, Pausas andFerna ´ndez-Muñoz 2011) and temperate forests of the western US (Westerling et al. 2006).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Piñol et al. 1998
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- cites Pausas andFerna ´ndez-Muñoz 2011
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- cites Westerling et al. 2006
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- Interpretationcitation
Variability in disruptions to future fire patterns is an outcome of nonlinear interactions between multiple temperature- and moisture-based climatic metrics that vary spatially.
“This type of variability in disruptions to future fire patterns is not unexpected, as it is an outcome of nonlinear interactions between multiple temperature-and moisture-based climatic metrics that vary spatially (Fig. 1), which has been demonstrated in other recent global studies (Scholze et al. 2006, Gonzalez et al. 2010, Pechony and Shindell 2010).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Scholze et al. 2006
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- cites Gonzalez et al. 2010
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- cites Pechony and Shindell 2010
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- Interpretationcitation
Because constraints on fire vary spatially among regions and biomes, the paper's results do not corroborate the notion that temperature will become the single dominant control on global wildfire during the next century.
“Due to such spatially varying constraints over fire among regions and biomes (Krawchuk and Moritz 2011), our results do not corroborate the notion that temperature will become the single dominant control on global wildfire during the next century (Pechony and Shindell 2010).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Krawchuk and Moritz 2011
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- cites Pechony and Shindell 2010
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- Premisecitation
During the last century, different fire-environment relationships among areas within the boreal biome led to divergent trajectories of change in fire regimes.
“In fact, during the last century, different fireÀenvironment relationships among areas within the boreal biome have led to divergent trajectories of change in fire regimes (Soja et al. 2007, Girardin et al. 2009), which may be reflected in certain parts of the biome being more limited by resources to burn than by fire-conducive weather.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Soja et al. 2007
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- cites Girardin et al. 2009
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- Interpretationown data
The paper's results provide general support for regional studies that predict increases in fire activity over the next century.
“These results provide general support for regional studies that predict increases in fire activity over the next century.”
Quote in the paperSubstantial claim - Study design and conductcitation
MaxEnt is well-suited to model fire probability in a presence-only framework, i.e., when fire records only exist for a limited number of years.
“This technique is well-suited to model fire probability in a presence-only framework, i.e., when fire records only exist for a limited number of years (Parisien et al. 2012, Renard et al. 2012).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Parisien et al. 2012
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- cites Renard et al. 2012
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- Study design and conductreasoning
The presence-only sampling modeling framework alleviates potential issues related to temporal alignment between the fire and climate data.
“The modeling framework, based on presenceonly sampling, further alleviates potential issues related to temporal alignment between the fire and climate data.”
Quote in the paperSubstantial claim - Premisecitation
For the 2070-2099 'Climate only' models, relationships to mapped biomass patterns are implicitly controlled by future climate variables.
“For these ''Climate only'' models, relationships to mapped biomass patterns are implicitly controlled by future climate variables (Beer et al. 2010).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Beer et al. 2010
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- Interpretationreasoning
Fire activity by the end of the 21st century is better represented by 'Climate only' models, unconstrained by current vegetation patterns.
“We propose that fire activity by the end of the 21st century is better represented by ''Climate only'' models, unconstrained by current vegetation patterns.”
Quote in the paperSubstantial claim - Interpretationcitation
The paper's models suggest that the temperature-driven trend of increasing fire probability may continue into the future for some temperate forests.
“Our models suggest that this temperaturedriven trend of increasing fire probability may continue into the future for some temperate forests (e.g., Westerling et al. 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Westerling et al. 2011
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- Interpretationreasoning
The broad similarity between 'Climate + Baseline NPP' and 'Climate only' fire probabilities suggests that the suite of climate variables used in 'Climate only' models inherently capture the environmental space that controls NPP patterns.
“Although there are some minor and localized differences between the ''Climate þ Baseline NPP'' and ''Climate only'' fire probabilities, the broad similarity between them suggests that the suite of climate variables used in ''Climate only'' models inherently capture the environmental space that controls NPP patterns.”
Quote in the paperSubstantial claim - Interpretationcitation
The paper's global projections reflect the relative importance of resources to burn, as well as the length and severity of conditions affecting their flammability.
“Our global projections reflect the relative importance of resources to burn, as well as the length and severity of conditions affecting their flammability (Meyn et al. 2007, Krawchuk et al. 2009, Whitlock et al. 2010, Aldersley et al. 2011, Krawchuk and Moritz 2011).”
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- cites Krawchuk et al. 2009
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- Interpretationreasoning
Some of the uncertainty in low-agreement areas could equate to relative stability in fire activity over the next few decades.
“Accordingly, some of this uncertainty could equate to relative stability in fire activity over the next few decades.”
Quote in the paperNot a substantial claim - Premisecitation
Fire activity has been increasing in some deserts because of invasive herbaceous species.
“Although most of these areas are biomass-poor ecosystems that may not become highly fireprone, fire activity has been increasing in some deserts because of invasive herbaceous species (D' Antonio andVitousek 1992, Brooks et al. 2004).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites D' Antonio andVitousek 1992
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- cites Brooks et al. 2004
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- Interpretationcitation
The near-term mixed changes projected for boreal ecosystems are consistent with reports on the recent direction of change in fire activity.
“The near-term mixed changes projected for boreal ecosystems are consistent with reports on recent direction of change in fire activity (Gir-ardin et al. 2009, Meyn et al. 2010).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Gir-ardin et al. 2009
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- cites Meyn et al. 2010
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- Interpretationcitation
Uncertainties in projected fire changes are due to inherent differences among GCMs.
“These uncertainties are due to inherent differences among GCMs (Meehl et al. 2007, Littell et al. 2011), illustrated in our climate agreement maps, and are a key motivation for global multi-model ensemble analyses such as those presented here.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Meehl et al. 2007
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- cites Littell et al. 2011 source
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- Premisecitation
Fire in tropical peatlands is a major potential source of carbon emissions.
“It is also worth noting that fire in tropical peatlands is a major potential source of carbon emissions (van der Werf et al. 2009), and these events are not captured well in our vegetation fire datasets.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites van der Werf et al. 2009
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- Interpretationcitation
The dependence on fire sensitivity will be especially important in marginal or 'trailing edge' habitats, which may be vulnerable to relatively sudden, fire-punctuated range contractions instead of more gradual, climate-driven transitions.
“This will be especially important in marginal or ''trailing edge'' habitats (Davis andShaw 2001, Hampe andPetit 2005), which may be vulnerable to relatively sudden, fire-punctuated range contractions instead of more gradual, climate-driven transitions.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Davis andShaw 2001
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- cites Hampe andPetit 2005
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- Study design and conductown data
Tropical peatland fire events are not captured well in the paper's vegetation fire datasets.
“It is also worth noting that fire in tropical peatlands is a major potential source of carbon emissions (van der Werf et al. 2009), and these events are not captured well in our vegetation fire datasets.”
Quote in the paperNot a substantial claim - Study design and conductown data
The paper's models use climate norms (means over multiple decades) for key variables, which can only indirectly capture short-term fluctuations in biomass resources and conditions affecting their flammability.
“For example, our models use climate norms (i.e., means over multiple decades) for key variables, which can only indirectly capture short-term fluctuations in biomass resources and conditions affecting their flammability (Fig. 1A).”
Quote in the paperSubstantial claim - Interpretationcitation
Future fire may also act as a disturbance that frees up space and resources more quickly than would otherwise occur, facilitating establishment of 'leading edge' populations.
“Conversely, future fire may also act as a disturbance that frees up space and resources more quickly than would otherwise occur, facilitating establishment of ''leading edge'' populations (Landha ¨usser et al. 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Landha ¨usser et al. 2010
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- Interpretationreasoning
The ecological severity of projected changes will depend on the degree to which organisms are fire-sensitive or fire-adapted.
“The ecological severity of projected changes will depend on the degree to which organisms are fire-sensitive or fire-adapted.”
Quote in the paperSubstantial claim
- May combine two claims. 46
- Classified as probably not a substantial claim. 28
- The quote only partly states this claim. 1
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Findingown dataBy the end of the century, the magnitude and the agreement in direction of change are projected to increase substantially.
“By the end of the century, the magnitude and the agreement in direction of change are projected to increase substantially.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the near term, decreases in fire activity are less pronounced and concentrated primarily in a few tropical and subtropical biomes.
“In the near term, the most consistent increases in fire activity occur in biomes with already somewhat warm climates; decreases are less pronounced and concentrated primarily in a few tropical and subtropical biomes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPrecipitation of the driest month (16.9%), temperature seasonality (16.8%), and the mean temperature of the warmest month (15.9%) are other important variables in the 'Climate + Baseline NPP' models.
“Precipitation of the driest month (16.9%), temperature seasonality (16.8%), and the mean temperature of the warmest month (15.9%) are other important variables in these models.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenThe magnitude of change and the degree of agreement among GCMs grows substantially through time.
“However, the magnitude of change and the degree of agreement among GCMs grows substantially through time.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenMost of the predicted increase in fire occurs in the higher northern latitudes, although in some regions of central Europe and central North America such changes are projected to be relatively minor.
“Most of the predicted increase occurs in the higher northern latitudes, although in some regions of central Europe and central North America such changes are projected to be relatively minor.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationThe paper's results suggest a striking increase in fire activity for boreal ecosystems in the more distant future, coherent with other temperature-driven projections.
“Our results suggest a striking increase in fire activity for boreal ecosystems in the more distant future, which is coherent with other temperature-driven projections (Stocks et al. 1998, Flannigan et al. 2005, Balshi et al. 2009).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Stocks et al. 1998
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- cites Flannigan et al. 2005
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Findingown dataIn the 'Climate only' models, the mean temperature of the warmest month (27.6%) and annual precipitation (24.0%) are the dominant variables; however, all remaining climatic variables also play a significant role.
“In the ''Climate only'' models, the mean temperature of the warmest month (27.6%) and annual precipitation (24.0%) are the dominant variables; however, all remaining climatic variables also play a significant role.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe modeled global fire probability for the baseline period of 1971-2000 shows complex spatial patterns of fire activity and is largely consistent with observed fire patterns.
“The modeled global fire probability for the baseline period of 1971-2000 shows complex spatial patterns of fire activity (Fig. 4) and is largely consistent with observed fire patterns (Fig. 2A).”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe approximated prevalence of fire in this study is 0.56, which equates to a maximum achievable AUC of 0.72.
“The approximated prevalence of fire in this study is 0.56, which equates to a maximum achievable AUC of 0.72.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe uncorrected AUC, averaged for the 100 model replicates and then for the 16 climate models, is 0.67 for the 'Climate + Baseline NPP' models and 0.66 for the 'Climate only' models.
“The uncorrected AUC, averaged for the 100 model replicates and then for the 16 climate models, is 0.67 for the ''Climate þ Baseline NPP'' models and 0.66 for the ''Climate only'' models.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningDecreases in fire activity are most extensively projected for the tropical and subtropical savannas of the world, which eventually show agreement for higher temperatures in both warmest and wettest months, increasing temperature seasonality, and less precipitation in the driest month, likely causing greater water stress and lower biomass productivity.
“Decreases in fire activity are most extensively projected for the tropical and subtropical savannas of the world, which eventually show agreement for higher temperatures in both warmest and wettest months, increasing temperature seasonality, and less precipitation in the driest month, likely causing greater water stress and lower biomass productivity.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenThe world's decreasing fire activity is centered on the equatorial regions, a trend that is amplified through the end of the century.
“In contrast, the world's decreasing fire activity is centered on the equatorial regions, a trend that is amplified through the end of the century.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe paper projects long-term decreases in fire for tropical rainforests due to increasing precipitation, which is notable given that concern in these regions tends to be on future fire increases, particularly through intentional deforestation fires.
“Our projected long-term decreases in fire for tropical rainforests, due to increasing precipitation, are notable given that concern in these regions tends to be on future fire increases, particularly through intentional deforestation fires (e.g., Cochrane et al. 1999, van der Werf et al. 2008, Le Page et al. 2010).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Cochrane et al. 1999
Not checked in the free run.
- cites van der Werf et al. 2008
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- cites Le Page et al. 2010
Not checked in the free run.
May combine two claims.
Findingown dataLarge areas of the globe are expected to experience relatively small near-term changes in fire probability, whereas predicted changes become much more pronounced in the 2070-2099 time period.
“Large areas of the globe are expected to experience relatively small near-term changes in fire probability (yellow areas in Fig. 6A), whereas predicted changes become much more pronounced in the 2070-2099 time period (Fig. 6C).”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThis general trend is projected to strengthen by the end of the century, with agreement emerging for decreased fire in most other tropical and subtropical biomes.
“This general trend is projected to strengthen by the end of the century, with agreement emerging for decreased fire in most other tropical and subtropical biomes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFire data are spatially clustered at the 10% sampling fraction and random below the 1-5% fraction, with the value varying by continent.
“We first divide our point pattern analysis up into continents because of the spatial pattern associated with these landmasses, finding that fire data are spatially clustered at the 10% fraction and random below the 1-5% fraction, with the value varying by continent.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenThe projections reported here highlight the potential for rapid disruptions in future fire activity, and consensus on such alterations strengthens through time.
“Projections reported here highlight the potential for rapid disruptions in future fire activity, and consensus on such alterations strengthens through time.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningThe paper's results are most similar to Krawchuk et al. (2009), especially when comparing patterns for the single GCM in their study, which used a different statistical approach but functionally similar variables.
“Our results are most similar to Krawchuk et al. (2009), especially when comparing patterns for the single GCM in their study, which used a different statistical approach but functionally similar variables.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Krawchuk et al. (2009)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe B1 scenario represents a lower emissions future, wherein multi-model GCM projections show a median of roughly 1.8°C global surface warming from 2000 levels by 2100.
“The B1 scenario represents a lower emissions future (Nakicenovic et al. 2000), wherein multi-model GCM projections show a median of roughly 1.88C global surface warming from 2000 levels by 2100.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nakicenovic et al. 2000
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenOur models are designed to project fire probabilities over a given time period, results that are directly representative of fire frequencies.
“Of the parameters important for characterizing fire regimes-fire sizes, frequencies, intensities, and seasonalityour models are designed to project fire probabilities over a given time period, results that are directly representative of fire frequencies.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe A2 scenario is a mid-to-high emissions future wherein projections show a median increase closer to 3.5°C.
“The A2 scenario is a mid-to-high emissions future wherein projections show a median increase closer to 3.58C.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nakicenovic et al. 2000
Not checked in the free run.
May combine two claims.
Study design and conductown dataThe fire dataset used in this study spans a shorter time period than the GCM reference period and did not completely overlap.
“The fire dataset used in this study spans a shorter time period (1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007) than the GCM reference period and did not completely overlap.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationOngoing fire activity requires biomass resources to burn, atmospheric conditions conducive to combustion, and ignitions.
“Ongoing fire activity requires biomass resources to burn, atmospheric conditions conducive to combustion (i.e., dry, hot, and/or windy periods), and ignitions (Bond and van Wilgen 1996, Moritz et al. 2005, Bradstock 2010).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Bond and van Wilgen 1996
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- cites Moritz et al. 2005
Not checked in the free run.
- cites Bradstock 2010
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenNot all fires are detected by ATSR and MODIS sensors; for example, smoldering fires in peatland soils may evade detection.
“Note that not all fires are detected by these sensors; for example, smoldering fires in peatland soils may evade detection.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationMore precipitation in some warm grasslands and shrublands can lead to higher productivity and increased fire activity during the dry season, whereas in more mesic areas the same precipitation increase could diminish fire activity.
“There is growing evidence that more precipitation in some warm grasslands and shrublands can lead to higher productivity and increased fire activity during the dry season, whereas in more mesic areas the same precipitation increase could diminish fire activity (Meyn et al. 2007, van der Werf et al. 2008, Littell et al. 2009, Krawchuk and Moritz 2011).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Meyn et al. 2007
Not checked in the free run.
- cites van der Werf et al. 2008
Not checked in the free run.
- cites Littell et al. 2009
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenDespite screening, some non-vegetation fires are reported in the datasets.
“Conversely, despite the screening, some non-vegetation fires are reported in the datasets.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningWarmer and drier weather may increase fire activity in biomass-rich areas, but have the opposite effect in moisture-stressed biomes, as increased evaporative demand decreases growth of biomass necessary to carry fire.
“Warmer and drier weather may therefore increase fire activity in biomass-rich areas, but have the opposite effect in moisturestressed biomes, as increased evaporative de-mand decreases growth of biomass necessary to carry fire (Fig. 1B).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere remains a lack of understanding about how variations among GCMs affect future fire projections versus differences in the modeling approaches themselves.
“Furthermore, because most of these global studies used different GCMs, there remains a lack of understanding about how variations among GCMs affect future fire projections versus differences in the modeling approaches themselves (Littell et al. 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Littell et al. 2011
Not checked in the free run.
May combine two claims.
InterpretationreasoningWith warmer temperatures, substantial tundra areas may become more conducive to plant growth within the next century, and thus fire could rapidly become a novel disturbance there.
“With warmer temperatures, substantial tundra areas may become more conducive to plant growth within this next century, and thus fire could rapidly become a novel disturbance there.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningThe modeling approach is designed to evaluate the strength of chronic environmental constraints on fire's long-term geographic distribution, not specific sets of conditions that lead to a particular fire in a given year.
“The modeling approach is thus not designed to evaluate specific sets of conditions that lead to a particular fire in a given year, but instead to evaluate the strength of chronic environmental constraints on fire's long-term geographic distribution.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Study design and conductreasoningThe settings used (all feature types, default regularization, 10,000 background samples) produced models that represented the observed global fire patterns well but minimized overfitting of the data.
“These settings, in conjunction with the sampling scheme described below, produced models that represented the observed global fire patterns well but minimized overfitting of the data.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationTo the authors' knowledge, the potential for widespread climate-driven decreases in future tropical and subtropical fire probabilities is not reported in the published literature, although some studies have shown less extensive but still generally decreasing fire activity for many of these same regions.
“To our knowledge, the potential for widespread climate-driven decreases in future tropical and subtropical fire probabilities is not reported in the published literature, although some studies (e.g., Scholze et al. 2006) have shown less extensive but still generally decreasing fire activity for many of these same regions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scholze et al. 2006
Not checked in the free run.
May combine two claims.
InterpretationreasoningSome areas where fire is not observed in the fire dataset have high predicted fire probabilities, suggesting that they do in fact represent fire-prone environments.
“Some areas where fire is not observed in the fire dataset have high predicted fire probabilities, suggesting that they do in fact represent fire-prone environments.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAny future increases in annual precipitation could exacerbate the trend of increasing fire in some deserts, although some desert areas may also have novel climates in which temperature increases outweigh precipitation increases, leading ultimately to lower productivity and less fire.
“It appears that any future increases in annual precipitation could exacerbate this trend, although some of these desert areas may also have novel climates in which temperature increases will outweigh precipitation increases, leading ultimately to lower productivity and less fire.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningWhere fuels are sufficient and atmospheric conditions are conducive to combustion, the potential for ignition during the period of record exists, either by lightning or human causes.
“This implies that, where fuels are sufficient and atmospheric conditions are conducive to combustion, the potential for ignition during the period of record exists, either by lightning or human causes.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Ignitions do not limit fire activity at the study's coarse spatial and temporal resolution.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationIt is questionable whether the single variable temperature seasonality is really limiting in the vast savannas of Africa, indicating that MaxEnt MLF results may reflect a surrogate for more precipitation-related constraints there.
“It is questionable, however, whether the single variable temperature seasonality is really ''limiting'' in the vast savannas of Africa, indicating that MaxEnt MLF results may somehow reflect a surrogate for more precipitationrelated constraints there (e.g., Archibald et al. 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Archibald et al. 2009
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Study design and conductnone givenRemoving highly correlated variables greatly enhances the ability to interpret each variable's effect on fire probabilities.
“Removing highly correlated variables also greatly enhances the ability to interpret each variable's effect on fire probabilities.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAlthough productivity is mainly constrained by precipitation at a global scale, temperature is the dominant control on biomass in many parts of the world.
“Although productivity is mainly constrained by precipitation at a global scale, temperature is the dominant control on biomass in many parts of the world (Beer et al. 2010), a limitation that emerges when NPP is not included in our models.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Beer et al. 2010
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenThe final set of five climate variables captures annual trends, seasonality and extreme environmental conditions that provide meaningful approximations of water and energy balances that determine the amount and dryness of biomass and thus fire occurrence.
“These climate metrics capture annual trends, seasonality and extreme environmental conditions that provide meaningful approximations of water and energy balances that determine the amount and dryness of biomass and thus fire occurrence.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductreasoningThe coarse spatial scale of the analysis and the use of only one cross-over variable (temperature of the wettest month) should minimize any challenges that future monthly shifts in this variable may pose.
“The coarse spatial scale of our analysis and the use of only one such variable (temperature of the wettest month) should minimize any challenges that future monthly shifts in this variable may pose.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenMaxEnt has the flexibility to fit non-linear relationships between fire and independent variables, so that resulting models can encapsulate complex relationships.
“MaxEnt has the flexibility to fit non-linear relationships between response variables (fire) and independent variables (climate and NPP), so that resulting models have the ability to encapsulate complex relationships.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningThe 2010-2039 'Climate + Baseline NPP' models explicitly specify the current distribution of biomass and are therefore more appropriate for near-term projections in which vegetation patterns are not likely to shift substantially across the 0.5° study cells.
“These ''Climate þ Baseline NPP'' models explicitly specify the current distribution of biomass and are therefore more appropriate for near-term projections in which vegetation patterns are not likely to shift substantially across the 0.58 study cells.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationAlthough the paper's models achieve high classification accuracies, it has yet to be determined whether incorporating interannual variation would lead to large global improvements or marginal refinements in specific locations.
“Although our models achieve high classification accuracies, it has yet to be determined whether incorporating interannual variation would lead to large global improvements or marginal refinements in specific locations (e.g., Zimmermann et al. 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Zimmermann et al. 2009
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PremisecitationIn the only study that used a sizeable ensemble of GCMs to estimate future fire probabilities, the DGVM-based models of Scholze et al. (2006) yielded some predictions (e.g., decreasing fire in some tropical areas) that broadly concur with ours and other patterns (e.g., decreasing fire in boreal regions) that differ considerably.
“In the only study that used a sizeable ensemble of GCMs to estimate future fire probabilities, the DGVM-based models of Scholze et al. (2006) yielded some predictions (e.g., decreasing fire in some tropical areas) that broadly concur with ours and other patterns (e.g., decreasing fire in boreal regions) that differ considerably.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scholze et al. (2006)
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome tropical rainforests appear to be less sensitive to such climate fluctuations than others.
“Some tropical rainforests, however, appear to be less sensitive to such climate fluctuations than others (van der Werf et al. 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites van der Werf et al. 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenA key difference in DGVMs is their bottom-up generation of global fire patterns by iteratively simulating fire-climate-vegetation feedbacks that may occur as climates change.
“A key difference in DGVMs is their bottom-up generation of global fire patterns by iteratively simulating fireÀclimateÀvegetation feedbacks that may occur as climates change.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningModel agreement on disruptions to future fire is no guarantee that the majority of GCMs are correct for any given location, but it is encouraging that these GCM-driven predictions show some consensus across large tracts of the globe.
“Model agreement on disruptions to future fire is therefore no guarantee-the majority of GCMs could of course be wrong for any given location-but it is encouraging that these GCM-driven predictions show some consensus across large tracts of the globe.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenLocalized human activities such as fire suppression and land development are not explicitly addressed in the paper's study.
“The influence of localized human activities such as fire suppression and land development varies across the globe (Whitlock et al. 2010, Aldersley et al. 2011, Bowman et al. 2011), and these factors are not explicitly addressed in our study.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe types of variables chosen for modeling future fire activity are affected by global data availability and constrained by the GCMs themselves.
“The types of variables chosen for modeling future fire activity are affected by global data availability and constrained by the GCMs themselves.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAnother DGVM-based study by Gonzalez et al. (2010) used three GCMs and showed yet another outcome: increasing fire across much of the tropics and decreasing fire in many higher latitudes.
“Another DGVM-based study by Gonzalez et al. (2010) used three GCMs and showed yet another outcome: increasing fire across much of the tropics and decreasing fire in many higher latitudes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gonzalez et al. (2010)
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenThe paper does not model 'natural' global fire activity, but rather modern fire-with its many human influences-as it currently occurs on Earth and how this may be altered by changing climates.
“We do not model ''natural'' global fire activity, but rather modern fire-with its many human influences-as it currently occurs on Earth and how this may be altered by changing climates.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationAbrupt changes in fire will stress native flora and fauna as they adjust to climate change and threaten biodiversity in many conservation areas.
“In addition to impacting terrestrial carbon stocks and human livelihoods, abrupt changes in fire will stress native flora and fauna as they adjust to climate change (Loarie et al. 2009) and threaten biodiversity in many conservation areas (Myers 2006, Nelson andChomitz 2009).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Loarie et al. 2009
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- cites Myers 2006
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- cites Nelson andChomitz 2009
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe influence of localized human activities such as fire suppression and land development varies across the globe.
“The influence of localized human activities such as fire suppression and land development varies across the globe (Whitlock et al. 2010, Aldersley et al. 2011, Bowman et al. 2011), and these factors are not explicitly addressed in our study.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Whitlock et al. 2010
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- cites Aldersley et al. 2011
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- cites Bowman et al. 2011
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May combine two claims.
PremisecitationThere is great uncertainty in the ability of GCMs to represent key modes of interannual variability, and even predicting future climate variability at decadal scales can pose substantial challenges.
“There is great uncertainty in the ability of GCMs to represent key modes of interannual variability (Stoner et al. 2009, Yeh et al. 2009), and even predicting future climate variability at decadal scales can pose substantial challenges (Solomon et al. 2011).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Stoner et al. 2009
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- cites Yeh et al. 2009
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- cites Solomon et al. 2011
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Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenHumans are not minor players with respect to global fire activity, and their influence on global fire regimes is more than likely to increase in the future through population growth and more accelerated land cover change.
“Humans are not minor players with respect to global fire activity: their influence on global fire regimes is more than likely to increase in the future through population growth and more accelerated land cover change.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenDivergent projections may also be due to differences in the environmental variables chosen to drive fire activity now and in the future.
“Divergent projections may also be due to differences in the environmental variables chosen to drive fire activity now and in the future.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationLiu et al. (2010) used four GCMs and characterized drought-driven effects on the severity of the fire season, predicting almost opposite fire patterns to those reported here.
“In contrast, Liu et al. (2010) used four GCMs and characterized drought-driven effects on the severity of the fire season, predicting almost opposite fire patterns to those reported here.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Liu et al. (2010)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe predicted future fire activity from Pechony and Shindell (2010), who used one GCM and a process-based fire module suitable for use in a DGVM, broadly agree with those of the paper's study.
“Interestingly, the predicted future fire activity from Pechony and Shindell (2010), who used one GCM and a process-based fire module suitable for use in a DGVM, broadly agree with those of our study.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Pechony and Shindell (2010)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenBased on the few global projections published to date, it is difficult to attribute differences among future fire predictions primarily to modeling strategies, variable types, prediction resolution, or choice of GCMs.
“Based on the few global projections published to date, it is difficult to attribute differences among future fire predictions primarily to modeling strategies, variable types, prediction resolution, or choice of GCMs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenGreater climatic extremes, especially precipitation fluctuations, can promote increased fire activity in chronically wet locations (e.g., drought in tropical rainforests) and chronically dry locations (e.g., precipitation pulses in deserts).
“Greater climatic extremes, especially precipitation fluctuations, can promote increased fire activity in chronically wet locations (e.g., drought in tropical rainforests) and chronically dry locations (e.g., precipitation pulses in deserts) (Fig. 1B).”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationReductions in fire as a key ecological disturbance may have important trickle-down effects in many fire-prone regions, and longer fire intervals could conceivably make some areas more vulnerable to catastrophic wildfires over time.
“Although sharp decreases in fire activity are less likely to capture our attention, reductions in this key ecological disturbance may have important trickle-down effects in many fire-prone regions (Bond andvan Wilgen 1996, Krawchuk et al. 2009), and longer fire intervals could conceivably make some areas more vulnerable to catastrophic wildfires over time.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Bond andvan Wilgen 1996
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- cites Krawchuk et al. 2009
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The authors state this as an assumption.
The fire period of record reflects a process at equilibrium with its environment.
“One might question whether the fire period of record reflects a process at equilibrium with its environment, an important assumption of this modeling approach.”
The authors state this as an assumption.
Ignitions do not limit fire activity at the study's coarse spatial and temporal resolution.
“Environmental covariates representing ignition sources are not included in the modeling, because ignitions are assumed not to limit fire activity at the study's coarse spatial and temporal resolution, following Krawchuk et al. (2009).”
The authors state this as an assumption.
Current levels of anthropogenic ignitions will continue into the future.
“Our models imply current levels of anthropogenic ignitions will continue into the future.”
The authors state this as an assumption.
Most vegetation types are unable to track climate instantaneously, so near-term projections hold vegetation constant while changing the climate conditions affecting flammability.
“Including NPP in the near term recognizes that most vegetation types are unable to track climate instantaneously, and thus holds vegetation constant while changing the climate conditions affecting flammability (i.e., fire weather).”
The authors state this as an assumption.
Vegetation patterns will likely have shifted by the end of the century, and productivity may thus be more closely aligned or equilibrated with climate, especially annual precipitation.
“Not including NPP for the end-of-century models recognizes that vegetation patterns will likely have shifted by that time, and productivity may thus be more closely aligned or equilibrated with climate (especially annual precipitation).”
The authors state this as an assumption.
Relatively rapid climatic changes being observed now should overwhelm any vegetation feedbacks that might dampen disruptions in fire under slower climatic shifts.
“Our results could thus differ from a feedback-enabled DGVM, but we assume that the relatively rapid climatic changes being observed now should overwhelm any vegetation feedbacks that might dampen disruptions in fire under slower climatic shifts (e.g., Higuera 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?
Our model uses mean annual variation and does not account for specific sequences of dryer and wetter years.
“Our model uses mean annual variation and does not account for specific sequences of dryer and wetter years, due to the long estimation period and challenges of GCMs in predicting such sequences [23].”
From Incorporating Anthropogenic Influences into Fire Probability Models: Effects of Human Activity and Climate Change on Fire Activity in California (2016) · cites this paper as [23]
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- Authors
- Moritz, M. A., Parisien, M.-A., Batllori, E., Krawchuk, M. A., Van Dorn, J., Ganz, D. J., & Hayhoe, K.
- Affiliations
- University of California, Berkeley (US)
- Canadian Forest Service (CA)
- Simon Fraser University (CA)
- The Nature Conservancy (US)
- Texas Tech University (US)
- Corresponding author
- Moritz, Max A.
- Venue
- Ecosphere
- Publisher
- Wiley
- Published
- 2012-06
- Volume
- 3
- Issue
- 6
- Pages
- 1-22
- ISSN
- 2150-8925 (ISSN-L)
- OpenAlex
- W2084842115
- Semantic Scholar
- a0499950ab7a8c5521f732f05f2ec34116fc2ae3
- Cited by
- 959
- References
- 79
- Citations by year
- 2026: 36 · 2025: 52 · 2024: 78 · 2023: 68 · 2022: 87 · 2021: 114 · 2020: 61 · 2019: 68 · 2018: 84 · 2017: 64 · 2016: 80 · 2015: 65 · 2014: 55 · 2013: 38 · 2012: 6
- FWCI
- 43.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Ecosphere (publishedVersion, cc-by)
- eScholarship (California Digital Library) (submittedVersion)
- Digital Library Of The Commons Repository (Indiana University) (submittedVersion)
- Funders
- National Science Foundation (0553768)
- U.S. Forest Service
- University of California, Santa Barbara
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
- Keywords
- climate change, fire probability, global climate models, multi-model ensemble, biomass productivity, biomes, fire vulnerability, spatial statistical models, A2 emission scenario
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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