Cited by 196Fire effects on ecosystemsHydrology and Watershed Management StudiesWater resources management and optimization

Burned forests impact water supplies

Open access
Hallema, Dennis W., Sun, Ge, Caldwell, Peter V., Norman, Steven P., Cohen, Erika C., Liu, Yongqiang, Bladon, Kevin D., McNulty, Steven G.·2018·Nature Communications

Abstract

Wildland fire impacts on surface freshwater resources have not previously been measured, nor factored into regional water management strategies. But, large wildland fires are increasing and raise concerns about fire impacts on potable water. Here we synthesize long-term records of wildland fire, climate, and river flow for 168 locations across the United States. We show that annual river flow changed in 32 locations, where more than 19% of the basin area was burned. Wildland fires enhanced annual river flow in the western regions with a warm temperate or humid continental climate. Wildland fires increased annual river flow most in the semi-arid Lower Colorado region, in spite of frequent droughts in this region. In contrast, prescribed burns in the subtropical Southeast did not significantly alter river flow. These extremely variable outcomes offer new insights into the potential role of wildfire and prescribed fire in regional water resource management, under a changing climate.

AI snapshot

Written from the paper’s full text.

TL;DR

This study synthesizes 30 years of wildland fire, climate, and river-flow records for 168 US locations and finds that large fires can increase annual river flow, especially in the western US, when burned area exceeds a critical threshold. Prescribed burns in the subtropical Southeast did not significantly alter river flow.

Key findings

  • Annual river flow changed in 32 locations where more than 19% of the basin area was burned; the critical relative burned-area threshold identified was BARt = 19%.
  • Wildland fires enhanced annual river flow in western warm temperate or humid continental climates, most strongly in the semi-arid Lower Colorado region despite frequent droughts; four Arizona rivers with BAR >39% increased flow by more than +128%, while Pacific Northwest rivers increased by +24% (median of 6 rivers) and one Texas-Gulf river by +98%.
  • For the CONUS as a whole, fire-affected locations showed a median river-flow decline of −5.9 mm (−5.7%), alongside a median precipitation decline of −23.1 mm (−2.3%); at the CONUS scale for BAR ≥1%, fire influence on river flow was typically <1% and was overshadowed by climate, topography, and land cover.
  • Prescribed burns in the subtropical Southeast did not significantly alter river flow; 90% were smaller than the critical BARt = 19%, and severe tropical weather in 2006 and 2008 complicated attribution in that region.

Methods

  • The authors combined MTBS fire and burn-severity data (1984–2014), GAGES-II river-flow and watershed data, Daymet v3 and PRISM climate data, GMTED2010 topography, and NLCD 2001 land cover. The plenary set included 168 burned watersheds with BAR ≥1% burned in any single year between 1984 and 2008, with drainage areas between 10 and 100,000 km².
  • River-flow disturbance was detected with a change-point model using the non-parametric Lepage statistic on monthly Q, and water-yield-ratio disturbance was detected with double-mass analysis and Chow’s F-test.
  • Gradient boosting with 49 variables was used to identify the critical burned-area threshold BARt, and climate elasticity models were fitted to attribute observed river-flow change to climate versus wildland fire; attribution was performed for 32 burned watersheds with BAR ≥19% and a detected breakpoint.

Limitations

  • The paper states that MTBS is the best available dataset for this analysis but contains only fires larger than 405 ha in the West and 202 ha in the East, and that burn-severity classification thresholds are uncertain, especially for moderate and high severity.
  • The paper states that climate elasticity models were not significant for four burned watersheds because only pre-fire annual data were used, that severe tropical weather events in the South Atlantic-Gulf region complicated attribution and may mean outcomes there do not reflect actual fire impact, and that some western watersheds may have been affected by additional disturbances such as beetle outbreaks.
  • Evident from the reported sample sizes: the attribution subset was small and overwhelmingly western (32 of 43 burned watersheds with BAR ≥19%; east n = 4), limiting regional inference for the eastern US.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/s41467-018-03735-6

Cites

52 of 52 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 32 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    Wildland fires enhanced annual river flow in western regions with a warm temperate or humid continental climate.

    “Wildland fires enhanced annual river flow in the western regions with a warm temperate or humid continental climate.”
    Quote in the paperSubstantial claim
  • Findingown data

    Prescribed burns in the subtropical Southeast did not significantly alter river flow.

    “In contrast, prescribed burns in the subtropical Southeast did not significantly alter river flow.”
    • Also stated in: § Introduction · plain
      “In contrast, prescribed burns in the subtropical Southeast did not significantly alter river flow.”
    Quote in the paperSubstantial claim
  • Findingown data

    Annual river flow changed in 32 of 168 studied locations where more than 19% of the basin area was burned.

    “We show that annual river flow changed in 32 locations, where more than 19% of the basin area was burned.”
    • Also stated in: § Introduction · plain
      “We show that of the 168 locations studied, wildland fires affected annual river flow in 32 locations, where more than 19% of the basin area was burned.”
    Quote in the paperSubstantial claim
  • Findingown data

    Wildland fires increased annual river flow most in the semi-arid Lower Colorado region, despite frequent droughts there.

    “Wildland fires increased annual river flow most in the semi-arid Lower Colorado region, in spite of frequent droughts in this region.”
    Quote in the paperSubstantial claim
  • Findingown data

    The relative influence of the change in monthly precipitation variance was greater for the West (9.5%) than for the East (4.9%).

    “The relative influence of the change in monthly precipitation variance was greater for the West (9.5%) compared to the East (4.9%) (Supplementary Fig. 1b cf. Supplementary Fig. 1c).”
    Quote in the paperNot a substantial claim
  • May combine two claims. 20
  • Classified as probably not a substantial claim. 4
  • May combine two claims.

    Findingown data

    General patterns of post-fire river flow were not only caused by wildland fire but also followed interannual variability in climate conditions.

    “General patterns of post-fire river flow were not only caused by wildland fire, but also followed the interannual variability in climate conditions (Fig. 3).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Wildfires burned large portions of watersheds in California (median BAR 20.6%), the Lower Colorado region (15.4%), and the Pacific Northwest (13.5%).

    “burning large portions of watersheds in California (median BAR 20.6%), the Lower Colorado region (15.4%), and the Pacific Northwest (13.5%) (Fig. 2 and Supplementary Table 1).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    In the Pacific Northwest region, river flow increased notwithstanding a declining precipitation trend, to a smaller extent than in the Lower Colorado region.

    “and to a smaller extent in the Pacific Northwest region.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingreasoning

    The severity of prescribed burns was limited, and their size was below a critical minimum (BARt = 19%) needed to affect river flow.

    “The severity of the prescribed burns was limited, and their size below a critical minimum (BARt = 19%) needed to affect river flow.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The total number of burned watersheds with significant climate elasticity of river flow was 38, and attribution analysis was performed for 32 of these for which a breakpoint was detected.

    “The total number of burned watersheds with significant climate elasticity of river flow was 38, and we performed the attribution analysis for 32 of these for which a breakpoint was detected.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: Wildland fire was the principal cause of river flow disturbance in watersheds where BAR ≥ BARt.
  • May combine two claims.

    Findingown data

    In the Pacific Northwest and Texas-Gulf regions, flow increased by +24% (median of 6 rivers) and +98% (1 river), respectively.

    “In the Pacific Northwest and Texas-Gulf regions, flow increased by +24% (median of 6 rivers) and +98% (1 river), respectively.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Changes in annual precipitation and monthly precipitation variance had influences of >47% and >4.9%, respectively, of the total impact on river flow.

    “Changes in annual precipitation and monthly precipitation variance had influences of >47% and >4.9%, respectively, of the total impact on river flow.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Flow increased most in the Lower Mississippi (median +160.1 mm or +27.4%), Lower Colorado (+9.9 mm or +25.6%), and Upper Colorado (+77.5 mm or +19.8%) regions.

    “Flow increased most in the Lower Mississippi (median of +160.1 mm or +27.4%), Lower Colorado (+9.9 mm or +25.6%) and Upper Colorado (+77.5 mm or +19.8%) regions.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The greatest increase in precipitation occurred in the Lower Mississippi (+311.2 mm or +23.3%) and Upper Colorado (+41.9 mm or +6.9%) regions.

    “Likewise, the greatest increase in precipitation occurred in the Lower Mississippi (+311.2 mm or +23.3%) and Upper Colorado (+41.9 mm or +6.9%) regions.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    In the South Atlantic-Gulf, Missouri, Lower Colorado, Pacific Northwest and California regions combined, seven burned watersheds had CEM4 (parameters dP and dSWE) as the best-fitting model, especially watersheds at higher elevations (typically >450 m) with steep topography.

    “The South Atlantic-Gulf, Missouri, Lower Colorado, Pacific Northwest and California regions combined had seven burned watersheds where a climate elasticity model of Q (CEM4) with parameters for dP and dSWE (change in snow water equivalent) yielded the best fit (Supplementary Fig. 4a), especially for watersheds located at higher elevations (typically >450 m) and with steep topography (Supplementary”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Wildland fire impacts were greater in southern and central California (>50%; Csa, Csb), but declining precipitation trends masked the enhancing impact of wildfire on river flow, resulting in a net decline in river flow.

    “Conversely, wildland fire impacts were greater in southern and central California (>50%; Csa, Csb; Fig. 1c), but declining precipitation trends masked the enhancing impact of wildfire on river flow. These opposite trends resulted in a net decline in river flow.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingreasoning

    The climate elasticity model was not significant for four burned watersheds because only pre-fire annual data was used, reducing the significance of the test statistic.

    “The CEM was not significant for four burned watersheds (Supplementary Fig. 6d), because only pre-fire annual data was used, reducing the significance of the test statistic.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    It is unclear how the current fire pattern affects water availability at the regional or continental scale.

    “However, it is unclear how this fire pattern affects water availability at the regional or continental scale1–4.”
    Quote in the paperSubstantial claim0 of 4 sources checked
    • cites [1] Dennison, P. E., Brewer, S. C., Arnold, J. D. & Moritz, M. A. Large wildfire trends in the western United States, 1984–2011. Geophys. Res. Lett. 41, 2928–2933 (2014). source

      Not checked in the free run.

    • cites [2] Littell, J. S. et al. A review of the relationships between drought and forest fire in the United States. Glob. Change Biol. 22, 2353–2369 (2016). source

      Not checked in the free run.

    • cites [3] Wine, M. L. & Cadol, D. Hydrologic effects of large southwestern USA wildfires significantly increase regional water supply: fact or fiction? Environ. Res. Lett. 11, 085006 (2016). source

      Not checked in the free run.

    • cites [4] Martin, D. A. At the nexus of fire, water and society. Philos. Trans. R. Soc. B 371, 20150172 (2016). source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Headwater forests are now susceptible to wildland fire risk or will become so in the near future.

    “these forests are now susceptible to wildland fire risk or will become so in the near future6,7.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [6] Williams, C. J., Pierson, F. B., Robichaud, P. R. & Boll, J. Hydrologic and erosion responses to wildfire along the rangeland-xeric forest continuum in the western US: a review and model of hydrologic vulnerability. Int. J. Wildland Fire 23, 155–172 (2014). source

      Not checked in the free run.

    • cites [7] Balch, J. K. et al. Human-started wildfires expand the fire niche across the United States. Proc. Natl. Acad. Sci. USA 114, 2946–2951 (2017). source

      Not checked in the free run.

  • May combine two claims.

    Interpretationreasoning

    Both climatic variability and fire characteristics affect river flow.

    “Our study suggests that both climatic variability and fire characteristics affect river flow.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Study design and conductcitation

    MTBS is currently the best dataset available for the purpose of this analysis because it contains the largest historical record of CONUS wildland fires larger than 405 ha in the West and larger than 202 ha in the East between 1984 and 2016, and was mapped at high resolution (30 × 30 m).

    “MTBS is currently the best dataset available for the purpose of this analysis, because it contains the largest historical record of CONUS wildland fires larger than 405 ha (1000 acres) in the West, and larger than 202 ha (500 acres) in the East, respectively, between 1984 and 2016.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [27] Eidenshink, J. et al. A project for monitoring trends in burn severity. Fire Ecol. 3, 3–21 (2007). source

      Not checked in the free run.

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

    Premisecitation

    Climate elasticity models are especially suited for attributing river flow disturbance and are commonly applied for this purpose.

    “Climate elasticity models (CEMs) are especially suited for this purpose and commonly applied in the attribution of river flow disturbance12,55.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [12] Hallema, D. W. et al. Assessment of wildland fire impacts on watershed annual water yield: analytical framework and case studies in the United States. Ecohydrology 10, e1794 (2017). source

      Not checked in the free run.

    • cites [55] Sankarasubramanian, A., Vogel, R. M. & Limbrunner, J. F. Climate elasticity of streamflow in the United States. Water Resour. Res. 37, 1771–1781 (2001). source

      Not checked in the free run.

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

    Premisecitation

    The stochastic gradient boosting machine increases robustness by selecting samples randomly and has previously been employed in studies on river flow trend analysis and prediction.

    “This GBM increases robustness by selecting samples randomly, and has previously been employed in studies on Q trend analysis and prediction53,54.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [53] Rice, J. S., Emanuel, R. E., Vose, J. M. & Nelson, S. A. C. Continental US streamflow trends from 1940 to 2009 and their relationships with watershed spatial characteristics. Water Resour. Res. 51, 6262–6275 (2015). source

      Not checked in the free run.

    • cites [54] Erdal, H. I. & Karakurt, O. Advancing monthly streamflow prediction accuracy of CART models using ensemble learning paradigms. J. Hydrol. 477, 119–128 (2013). source

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    The likely reason that prescribed burning effects on annual river flow in the South Atlantic-Gulf region were not significant is that these burns were small compared to the size of the watersheds in which they were conducted; 90% were burned across an area smaller than the critical relative burned area threshold BARt = 19%.

    “However, the likely reason that prescribed burning effects on annual river flow in the South Atlantic-Gulf region were not significant is that these burns were small compared to the size of the watersheds in which they were conducted—90% were burned across an area smaller than the critical relative burned area threshold BARt = 19%.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Study design and conductcitation

    Climate elasticity modeling was complicated by severe tropical weather events (2006 and 2008 hurricane seasons) in Florida, Georgia, and Mississippi, and the outcomes of the attribution analysis for these areas do not reflect the actual fire impact.

    “Climate elasticity modeling was also complicated by severe tropical weather events (2006 and 2008 hurricane seasons23,24) in this region (Florida, Georgia, and Mississippi), and we believe that the outcomes of the attribution analysis for these areas do not reflect the actual fire impact.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [23] Franklin, J. L. & Brown, D. P. Atlantic hurricane season of 2006. Mon. Weather Rev. 136, 1174–1200 (2008). source

      Not checked in the free run.

    • cites [24] Brown, D. P., Beven, J. L., Franklin, J. L. & Blake, E. S. Atlantic hurricane season of 2008. Mon. Weather Rev. 138, 1975–2001 (2010). source

      Not checked in the free run.

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

    Premisecitation

    MTBS has been the dataset of choice in studies on CONUS-wide trends in burn severity and area, forest disturbance, and vegetation type conversion after wildland fire.

    “MTBS has been the dataset of choice in studies on CONUS-wide trends in burn severity and area28,29, forest disturbance30, and vegetation type conversion after wildland fire31.”
    Quote in the paperNot a substantial claim0 of 4 sources checked
    • cites [28] Dillon, G. K., et al. Both topography and climate affected forest and woodland burn severity in two regions of the western US, 1984 to 2006. Ecosphere 2, 130 (2011). source

      Not checked in the free run.

    • cites [29] Picotte, J. J., Peterson, B., Meier, G. & Howard, S. M. 1984–2010 trends in fire burn severity and area for the conterminous US. Int. J. Wildland Fire 25, 413–420 (2016). source

      Not checked in the free run.

    • cites [30] Hart, S. J., Schoennagel, T., Veblen, T. T. & Chapman, T. B. Area burned in the western United States is unaffected by recent mountain pine beetle outbreaks. Proc. Natl. Acad. Sci. USA 112, 4375–4380 (2015). source

      Not checked in the free run.

    • cites [31] Meng, R., Dennison, P. E., D’Antonio, C. M. & Moritz, M. A. Remote sensing analysis of vegetation recovery following short-interval fires in Southern California shrublands. PLoS ONE 9, e110637 (2014). source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    The Lepage test can detect general types of distribution change and is more powerful than comparable non-parametric tests for detecting changes in hydrological time series data.

    “The Lepage test can detect general types of distribution change and is considered more powerful than comparable non-parametric tests for detecting changes in hydrological time series data46.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [46] Yang, T., Chen, X., Xu, C.-Y. & Zhang, Z.-C. Spatio-temporal changes of hydrological processes and underlying driving forces in Guizhou region, Southwest China. Stoch. Environ. Res. Risk Assess. 23, 1071–1108 (2009). source

      Not checked in the free run.

22 of 22
  • The paper relies on this without support.

    Wildland fire impacts on surface freshwater resources have not previously been measured, nor factored into regional water management strategies.

    “Wildland fire impacts on surface freshwater resources have not previously been measured, nor factored into regional water management strategies.”
  • The paper relies on this without support.

    Large wildland fires are increasing and raise concerns about fire impacts on potable water.

    “But, large wildland fires are increasing and raise concerns about fire impacts on potable water.”
  • The paper relies on this without support.

    Wildfire seasons in the US are becoming longer due to recurring drought, coupled with more ignition sources and available fuel.

    “Wildfire seasons in the US are becoming longer due to recurring drought, coupled with more ignition sources and available fuel.”
  • The paper relies on this without support.

    Prescribed burns are generally conducted during favorable weather and vegetation conditions.

    “Prescribed burns are generally conducted during favorable weather and vegetation conditions.”
  • The paper relies on this without support.

    High wind speeds and low humidity levels in the lower atmosphere and in vegetation allow fires to spread rapidly.

    “High wind speeds and low humidity levels in the lower atmosphere and in vegetation, allow fires to spread rapidly”
  • The paper relies on this without support.

    Vegetation mortality increases runoff.

    “mainly because vegetation mortality increases runoff”
  • The authors state this as an assumption.

    Wildland fire was the principal cause of river flow disturbance in watersheds where BAR ≥ BARt.

    “Wildland fire was presumed the principal cause of in watersheds where BAR ≥ BARt, although some western watersheds may have been affected by additional disturbances not accounted for, e.g., beetle outbreaks.”
  • The authors state this as an assumption.

    River flow disturbance was associated with the fire, so that a detected change point within one year following the fire indicates fire-associated disturbance.

    “The null hypothesis was rejected if this timing occurred within one year following the fire assuming that river flow disturbance was associated with the fire.”
8 of 8

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?

  • These studies demonstrate the variability and complexity of influencing factors in relation to the impacts of ash contamination on aquatic biota, highlighting the limited breadth of available research in this area.

    “These studies demonstrate the variability and complexity of influencing factors in relation to the impacts of ash contamination on aquatic biota, highlighting the limited breadth of available research in this area (Hallema et al. 2018).”

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Sankarasubramanian, A., Vogel, R. M. & Limbrunner, J. F. Climate elasticity of streamflow in the United States. Water Resour. Res. 37, 1771–1781 (2001). · DOI · Paper page

Cited by

Sorted by citations

Authors
Hallema, D. W., Sun, G., Caldwell, P. V., Norman, S. P., Cohen, E. C., Liu, Y., Bladon, K. D., & McNulty, S. G.
Affiliations
  • US Forest Service (US)
  • Oregon State University (US)
Corresponding author
  • Hallema, Dennis W.
  • Sun, Ge
Venue
Nature Communications
Published
2018-04-10
Volume
9
Issue
1
Pages
1307-1307
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2797232962
Cited by
193
References
52
Citations by year
2026: 17 · 2025: 24 · 2024: 21 · 2023: 27 · 2022: 32 · 2021: 23 · 2020: 27 · 2019: 15 · 2018: 7
FWCI
10.68
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • U.S. Department of Energy (DE-AC05?, -AC05- 06OR23100, DE-AC05- 06OR23100)
  • U.S. Department of Agriculture (DE‐AC05‐06OR23100)
  • Oak Ridge Associated Universities (DE-AC05-06OR23100)
  • Joint Fire Science Program (14-1-06-18)
  • Oak Ridge Institute for Science and Education (#DE-AC05-06OR23100)
  • U.S. Forest Service
  • Southern Research Station
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
  • Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
  • Physical Sciences › Engineering › Ocean Engineering › Water resources management and optimization
Keywords
forest fires, burned forest, river discharge, water supply, drinking water, prescribed burning, climate, water resources management, drought, Lower Colorado River Basin, American West

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