The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index; 1 of the 32 sources its claims cite were checked for support.
Burned forests impact water supplies
Open accessAbstract
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.
Overview
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.
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Figures
![Fig. 3 CONUS-East-west comparison of post-fire change in annual river flow. Percentage change in 5-year mean annual river flow observed (dQ) attributed to climate (dQ[climate]) and fire (dQ [fire]), respectively, for watersheds burned between 1985 and 2008 (BAR ≥ 19%). Results are summarized for the CONUS (n = 32) and for the regions west (n = 28) and east (n = 4) of the Mississippi River, respectively. Whiskers extend to the most extreme value no more than 1.5× interquartile range from the box](/paper-figures/ead330d6f60d46a59bbd89d0826a147f/burned-forests-impact-water-supplies-figure-3.jpg)
Verification
Claims the paper makes
49 Own result · 17 Not checked yet · 10 No basis given · 8 Own interpretation · 2 Own method · 1 Partly supported · accuracy not yet measured
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Wildland fires enhanced annual river flow in the western regions with a warm temperate or humid continental climate.”
§ Burned forests impact water supplies > Abstract
plaindirect- Asserted: passes — The authors put it forward as true.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Burned forests impact water supplies > Abstract
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § Introduction · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Burned forests impact water supplies > Abstract
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Also stated in: § Introduction · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Wildland fires increased annual river flow most in the semi-arid Lower Colorado region, in spite of frequent droughts in this region.”
§ Burned forests impact water supplies > Abstract
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“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).”
§ Burned forests impact water supplies > Results > Climate and other factors influencing river flow response
plaincorrelational- Asserted: passes — The authors put it forward as true.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“By contrast, in the Eastern CONUS, the proportion of the watershed with unvegetated land cover (barren land and urban area) had some influence on river flow (4.1% and 2.3%, respectively), secondary to climate factors (51% and 4.9% for annual precipitation and monthly precipitation variance, respectively) (Supplementary Fig. 1b cf. Supplementary Fig. 1c).”
§ Burned forests impact water supplies > Results > Climate and other factors influencing river flow response
plaincorrelational- Asserted: passes — The authors put it forward as true.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Wildland fire that burned 19% or more of the watershed area generally increased river flow.”
§ Burned forests impact water supplies > Results > Climate and other factors influencing river flow response
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“however a change (breakpoint) in (dQ/dP) was detected in the same watersheds plus 23 additional watersheds (all in the Western CONUS)”
§ Burned forests impact water supplies > Methods > Hypothesis testing
plain- Asserted: passes — The authors put it forward as true.
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“For example, prescribed (controlled) burning, conducted to reduce accumulated fuels such as dead vegetation and fallen branches, had only a limited effect in the subtropical Southeast.”
§ Burned forests impact water supplies > Results > Wildland fire impacts on annual river flow
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For the CONUS as a whole, river flow declined (median −5.9 mm or −5.7%) in fire-affected locations”
§ Burned forests impact water supplies > Results > Observed changes in annual river flow
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- It may state two separate claims as one. 20
- Probably not a substantial claim. 4
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“these forests are now susceptible to wildland fire risk or will become so in the near future6,7.”
§ Burned forests impact water supplies > Introduction
What the sources say
- Not checked yetcites [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
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
The Discussion says human ignitions are extending fire into wetter conditions and that projected warming will likely increase fire risk where human ignitions are prevalent. It does not identify headwater forests as susceptible or specify that they will become so in the near future. (LLM, conf=0.84)
plain- Asserted: passes — The authors put it forward as true.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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).”
§ Burned forests impact water supplies > Results > Climate and other factors influencing river flow response
plaindirectn = 32- Asserted: passes — The authors put it forward as true.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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).”
§ Burned forests impact water supplies > Results > Wildland fire impacts on annual river flow
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and to a smaller extent in the Pacific Northwest region.”
§ Burned forests impact water supplies > Results > Observed changes in annual river flow
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The severity of the prescribed burns was limited, and their size below a critical minimum (BARt = 19%) needed to affect river flow.”
§ Burned forests impact water supplies > Results > Wildland fire impacts on annual river flow
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Burned forests impact water supplies > Methods > Hypothesis testing
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
- The authors state this as an assumption: Wildland fire was the principal cause of river flow disturbance in watersheds where BAR ≥ BARt.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In the Pacific Northwest and Texas-Gulf regions, flow increased by +24% (median of 6 rivers) and +98% (1 river), respectively.”
§ Burned forests impact water supplies > Results > Wildland fire impacts on annual river flow
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Changes in annual precipitation and monthly precipitation variance had influences of >47% and >4.9%, respectively, of the total impact on river flow.”
§ Burned forests impact water supplies > Results > Climate and other factors influencing river flow response
plaindirect- Asserted: passes — The authors put it forward as true.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Burned forests impact water supplies > Results > Observed changes in annual river flow
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Burned forests impact water supplies > Results > Observed changes in annual river flow
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ Burned forests impact water supplies > Methods > Assessment of wildland fire impacts on river flow
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Burned forests impact water supplies > Results > Climate and other factors influencing river flow response
plaindirect- Asserted: passes — The authors put it forward as true.
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ Burned forests impact water supplies > Methods > Hypothesis testing
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“However, it is unclear how this fire pattern affects water availability at the regional or continental scale1–4.”
§ Burned forests impact water supplies > Introduction
What the sources say
- Not checked yetcites [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 yetcites [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 yetcites [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 yetcites [4] Martin, D. A. At the nexus of fire, water and society. Philos. Trans. R. Soc. B 371, 20150172 (2016). source
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our study suggests that both climatic variability and fire characteristics affect river flow.”
§ Burned forests impact water supplies > Results > Implications for post-fire forest and water management
hedgeddirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“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.”
§ Burned forests impact water supplies > Methods > Datasets
What the sources say
- Not checked yetcites [27] Eidenshink, J. et al. A project for monitoring trends in burn severity. Fire Ecol. 3, 3–21 (2007). source
plain- Asserted: passes — The authors put it forward as true.
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None of the sources cited for this claim have been checked yet.
In the paper
“Climate elasticity models (CEMs) are especially suited for this purpose and commonly applied in the attribution of river flow disturbance12,55.”
§ Burned forests impact water supplies > Methods > Assessment of wildland fire impacts on river flow
What the sources say
- Not checked yetcites [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 yetcites [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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“This GBM increases robustness by selecting samples randomly, and has previously been employed in studies on Q trend analysis and prediction53,54.”
§ Burned forests impact water supplies > Methods > Assessment of wildland fire impacts on river flow
What the sources say
- Not checked yetcites [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 yetcites [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
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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%.”
§ Burned forests impact water supplies > Results > Implications for post-fire forest and water management
hedgedconditional- Asserted: passes — The authors put it forward as true.
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None of the sources cited for this claim have been checked yet.
In the paper
“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.”
§ Burned forests impact water supplies > Results > Implications for post-fire forest and water management
What the sources say
- Not checked yetcites [23] Franklin, J. L. & Brown, D. P. Atlantic hurricane season of 2006. Mon. Weather Rev. 136, 1174–1200 (2008). source
- Not checked yetcites [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
hedgeddirect- Asserted: passes — The authors put it forward as true.
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None of the sources cited for this claim have been checked yet.
In the paper
“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.”
§ Burned forests impact water supplies > Methods > Datasets
What the sources say
- Not checked yetcites [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 yetcites [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 yetcites [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 yetcites [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
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“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.”
§ Burned forests impact water supplies > Methods > Assessment of wildland fire impacts on river flow
What the sources say
- Not checked yetcites [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
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
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.”
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In the citing paper
“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).”
From Chemical composition of wildfire ash produced in contrasting ecosystems and its toxicity to Daphnia magna (2019) · cites this paper as Hallema et al. 2018
Citations
Cites
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
Greedy function approximation: A gradient boosting machine
Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731
A decision-theoretic generalization of on-line learning and an application to boosting
Freund, Y., & Schapire, R. E. (1997) · Journal of Computer and System Sciences · doi:10.1006/jcss.1997.1504 · Cited by 20,466
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
Mann, H. B., & Whitney, D. R. (1947) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177730491 · Cited by 14,320
Updated world map of the Köppen-Geiger climate classification
(2007) · doi:10.5194/hess-11-1633-2007 · Cited by 13,640
Tests of Equality Between Sets of Coefficients in Two Linear Regressions
Chow, G. C. (1960) · Econometrica · doi:10.2307/1910133 · Cited by 6,486
Warming and earlier spring increase western U.S. forest wildfire activity.
Westerling, A. L., Hidalgo, H. G., Cayan, D. R., & Swetnam, T. W. (2006) · Science · doi:10.1126/science.1128834 · Cited by 5,176
Daly, C., Halbleib, M. D., Smith, J. I., Gibson, W. P., Doggett, M. K., Taylor, G. H., Curtis, J. B., & Pasteris, P. P. (2008) · International Journal of Climatology · doi:10.1002/joc.1688 · Cited by 3,113
(2015) · Photogrammetric Engineering & Remote Sensing · doi:10.1016/s0099-1112(15)30100-2 · Cited by 2,584
USGS Water Data for the Nation
Survey, U. S. G. (1994) · U.S. Geological Survey · doi:10.5066/f7p55kjn · Cited by 1,478
Research works printed but not linked: 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
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Prichard, S. J., Hessburg, P. F., Hagmann, R. K., Povak, N. A., Dobrowski, S. Z., Hurteau, M. D., Kane, V. R., Keane, R. E., Kobziar, L. N., Kolden, C. A., et al. (2021) · Ecological Applications · doi:10.1002/eap.2433 · Cited by 356
Paul, M. J., LeDuc, S. D., Lassiter, M. G., Moorhead, L. C., Noyes, P. D., & Leibowitz, S. G. (2022) · Water Resources Research · doi:10.1029/2021wr030699 · Cited by 241
Mishra, A. K., Alnahit, A. O., & Campbell, B. J. (2020) · Journal of Hydrology · doi:10.1016/j.jhydrol.2020.125707 · Cited by 203
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North, M. P., Stevens, J. T., Greene, D. F., Coppoletta, M., Knapp, E. E., Latimer, A. M., Restaino, C. M., Tompkins, R. E., Welch, K. R., York, R. A., et al. (2018) · Forest Ecology and Management · doi:10.1016/j.foreco.2018.09.007 · Cited by 190
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Self-citationVicente-Serrano, S. M., Peña‐Gallardo, M., Hannaford, J., Murphy, C., Lorenzo‐Lacruz, J., Domínguez‐Castro, F., López‐Moreno, J. I., Beguerı́a, S., Noguera, I., Harrigan, S., et al. (2019) · Geophysical Research Letters · doi:10.1029/2019gl084084 · Cited by 137
Silva, L. C. R., & Lambers, H. (2020) · Plant and Soil · doi:10.1007/s11104-020-04427-1 · Cited by 135
Robinne, F., Hallema, D. W., Bladon, K. D., & Buttle, J. M. (2019) · Journal of Hydrology · doi:10.1016/j.jhydrol.2019.124360 · Cited by 127
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Harper, A. R., Santin, C., Doerr, S. H., Froyd, C. A., Albini, D., Otero, X. L., Viñas, L., & Pérez-Fernández, B. (2019) · International Journal of Wildland Fire · doi:10.1071/wf18200 · Cited by 108
Niemeyer, R. J., Bladon, K. D., & Woodsmith, R. D. (2020) · Hydrological Processes · doi:10.1002/hyp.13665 · Cited by 103
Self-citationGlobal pattern of forest disturbances and its shift under climate change
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Self-citationRETRACTED ARTICLE: Global analysis of streamflow response to forest management
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RetractedRisk Management and Analytics in Wildfire Response
Thompson, M. P., Wei, Y., Calkin, D. E., O’Connor, C. D., Dunn, C. J., Anderson, N., & Hogland, J. S. (2019) · Current Forestry Reports · doi:10.1007/s40725-019-00101-7 · Cited by 85
Reframing the Challenge of Global Wildfire Threats to Water Supplies
Hallema, D. W., Robinne, F., & Bladon, K. D. (2018) · Earth's Future · doi:10.1029/2018ef000867 · Cited by 78
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Sun, G., Wei, X., Hao, L., González-Sanchis, M., Hou, Y., Yousefpour, R., Tang, R., & Zhang, Z. (2023) · Forest Ecology and Management · doi:10.1016/j.foreco.2022.120755 · Cited by 79
Self-citationEbel, B. A., Shephard, Z. M., Walvoord, M. A., Murphy, S. F., Partridge, T. F., & Perkins, K. S. (2023) · Earth s Future · doi:10.1029/2022ef003038 · Cited by 74
Loiselle, D., Du, X., Alessi, D. S., Bladon, K. D., & Faramarzi, M. (2020) · Journal of Hydrology · doi:10.1016/j.jhydrol.2020.125403 · Cited by 74
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Self-citationRumsey, C. A., Miller, M. P., & Sexstone, G. A. (2020) · Journal of Hydrology · doi:10.1016/j.jhydrol.2020.124715 · Cited by 60
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Beyene, M. T., Leibowitz, S. G., & Pennino, M. J. (2021) · Water Resources Research · doi:10.1029/2020wr028029 · Cited by 53
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Jones, J. A., Wei, X., Archer, E. R. M., Bishop, K., Blanco, J. A., Ellison, D., Gush, M. B., McNulty, S. G., van Noordwijk, M., & Creed, I. F. (2020) · Ecological studies · doi:10.1007/978-3-030-26086-6_24 · Cited by 48
Self-citationManaging the forest-water nexus for climate change adaptation
Zhang, M., Liu, S., Jones, J. A., Sun, G., Wei, X., Ellison, D., Archer, E. R. M., McNulty, S. G., Asbjornsen, H., Zhang, Z., et al. (2022) · Forest Ecology and Management · doi:10.1016/j.foreco.2022.120545 · Cited by 45
Self-citationRey, D. M., Briggs, M. A., Walvoord, M. A., & Ebel, B. A. (2023) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.129272 · Cited by 44
Pandemic spotlight on urban water quality
Hallema, D. W., Robinne, F., & McNulty, S. G. (2020) · Ecological Processes · doi:10.1186/s13717-020-00231-y · Cited by 43
Self-citationHillslope sediment production after wildfire and post‐fire forest management in northern California
Cole, R. P., Bladon, K. D., Wagenbrenner, J. W., & Coe, D. B. R. (2020) · Hydrological Processes · doi:10.1002/hyp.13932 · Cited by 43
Self-citationMurphy, S. F., Alpers, C. N., Anderson, C. W., Banta, J. R., Blake, J. M., Carpenter, K. D., Clark, G. D., Clow, D. W., Hempel, L. A., Martin, D. A., et al. (2023) · Frontiers in Water · doi:10.3389/frwa.2023.1144225 · Cited by 43
Vahedifard, F., Abdollahi, M., Leshchinsky, B., Stark, T. D., Sadegh, M., & AghaKouchak, A. (2024) · Earth and Space Science · doi:10.1029/2023ea003498 · Cited by 41
Caldwell, P. V., Elliott, K. J., Liu, N., Vose, J. M., Zietlow, D. R., & Knoepp, J. D. (2020) · Hydrological Processes · doi:10.1002/hyp.13922 · Cited by 40
Self-citationEvaporation in Brazilian dryland reservoirs: Spatial variability and impact of riparian vegetation
Rodrigues, Í. S., Costa, C. A. G., Raabe, A., Medeiros, P., & de Araújo, J. C. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.149059 · Cited by 39
Blount, K., Ruybal, C. J., Franz, K. J., & Hogue, T. S. (2019) · Ecohydrology · doi:10.1002/eco.2170 · Cited by 41
Wine, M. L., Makhnin, O., & Cadol, D. (2018) · Earth s Future · doi:10.1029/2018ef000930 · Cited by 38
Ebel, B. A. (2019) · Earth Surface Processes and Landforms · doi:10.1002/esp.4621 · Cited by 36
Ebel, B. A., Wagenbrenner, J. W., Kinoshita, A. M., & Bladon, K. D. (2022) · Journal of Hydrology and Hydromechanics · doi:10.2478/johh-2022-0033 · Cited by 36
Self-citationKeleş, S. (2018) · Journal of Sustainable Forestry · doi:10.1080/10549811.2018.1547879 · Cited by 37
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Chen, J., & Chang, H. (2022) · Progress in Physical Geography Earth and Environment · doi:10.1177/03091333221118363 · Cited by 37
Liu, Y., Shi, W., Tao, F., Shi, X., & Fu, B. (2023) · Geophysical Research Letters · doi:10.1029/2022gl099888 · Cited by 32
Self-citationPrescribed fire effects on sediment and nutrient exports in forested environments: A review
Klimas, K. B., Hiesl, P., Hagan, D. L., & Park, D. (2020) · Journal of Environmental Quality · doi:10.1002/jeq2.20108 · Cited by 32
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Giovando, J. J., & Niemann, J. D. (2022) · Water Resources Research · doi:10.1029/2021wr031569 · Cited by 32
de Oliveira‐Júnior, J. F., Shah, M., Abbas, A., Filho, W. L. F. C., da Silva, C. A., Santiago, D. D. B., Teodoro, P. E., MENDES, D. G., de Souza, A., Aviv‐Sharon, E., et al. (2022) · Sustainability · doi:10.3390/su14116935 · Cited by 31
Kurzweil, J. R., Metlen, K. L., Abdi, R., Strahan, R. T., & Hogue, T. S. (2021) · Forest Ecology and Management · doi:10.1016/j.foreco.2021.119387 · Cited by 33
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Guo, D., Saft, M., Hou, X., Webb, J. A., Hairsine, P. B., & Western, A. W. (2023) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.129979 · Cited by 26
Collar, N. M., Saxe, S., Rust, A. J., & Hogue, T. S. (2021) · Journal of Hydrology · doi:10.1016/j.jhydrol.2021.127162 · Cited by 25
Rust, A. J., Roberts, S., Eskelson, M., Randell, J., & Hogue, T. S. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.155034 · Cited by 26
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Stream thermal responses to wildfire in the Pacific Northwest
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Wildfires cause rapid changes to estuarine benthic habitat
Barros, T. L., Bracewell, S. A., Mayer‐Pinto, M., Dafforn, K. A., Simpson, S. L., Farrell, M., & Johnston, E. L. (2022) · Environmental Pollution · doi:10.1016/j.envpol.2022.119571 · Cited by 24
Fernández‐Guisuraga, J. M., & Calvo, L. (2025) · Fire Ecology · doi:10.1186/s42408-025-00371-6 · Cited by 23
Merschel, A. G., Beedlow, P. A., Shaw, D. C., Woodruff, D. R., Lee, E. H., Cline, S. P., Comeleo, R. L., Hagmann, R. K., & Reilly, M. J. (2021) · Trees Forests and People · doi:10.1016/j.tfp.2021.100074 · Cited by 25
Wildfire contribution to streamflow variability across Australian temperate zone
Khaledi, J., Lane, P. N. J., Nitschke, C. R., & Nyman, P. (2022) · Journal of Hydrology · doi:10.1016/j.jhydrol.2022.127728 · Cited by 23
Impacts of longleaf pine (Pinus palustris Mill.) on long-term hydrology at the watershed scale
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Ahmad, S. K., Holmes, T., Kumar, S. V., Lahmers, T. M., Liu, P., Nie, W., Getirana, A., Orland, E., Bindlish, R., Guzman, A., et al. (2024) · Nature Ecology & Evolution · doi:10.1038/s41559-023-02266-8 · Cited by 23
Hydrological resilience to forest fire in the subarctic Canadian shield
Spence, C., Hedstrom, N., Tank, S. E., Quinton, W. L., Olefeldt, D., Goodman, S., & Dion, N. (2020) · Hydrological Processes · doi:10.1002/hyp.13915 · Cited by 23
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Newcomer, M., Underwood, J. C., Murphy, S. F., Ulrich, C., Schram, T., Maples, S. R., Peña, J., Siirila‐Woodburn, E. R., Trotta, M., Jasperse, J., et al. (2023) · Water Resources Research · doi:10.1029/2022wr034206 · Cited by 22
Collar, N. M., Ebel, B. A., Saxe, S., Rust, A. J., & Hogue, T. S. (2023) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.129646 · Cited by 21
Farooqi, T. J. A., Portela, R., Zhou, X., Pan, S., Irfan, M., & Ali, A. (2024) · Journal of Forestry Research · doi:10.1007/s11676-024-01771-1 · Cited by 21
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Xu, Z., Zhang, Y., Zhang, X., Ma, N., Tian, J., Kong, D., & Post, D. A. (2022) · Water Resources Research · doi:10.1029/2021wr031013 · Cited by 20
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Gao, S., Wang, L., Hao, L., & Sun, G. (2023) · Environmental Research Letters · doi:10.1088/1748-9326/acf8de · Cited by 21
Self-citationElliott, S. M., Hornberger, M. I., Rosenberry, D. O., Frus, R. J., & Webb, R. M. T. (2024) · Water Resources Research · doi:10.1029/2023wr036260 · Cited by 22
McEvoy, A., Nielsen‐Pincus, M., Holz, A., Catalano, A. J., & Gleason, K. E. (2020) · Fire · doi:10.3390/fire3040070 · Cited by 21
Hou, Y., Zhang, M., Liu, S., Sun, P., Yin, L., Yang, T., Li, Y., Li, Q., & Wei, X. (2018) · Forests · doi:10.3390/f9120734 · Cited by 20
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Nitzsche, N., Nunes, J. P., & Parente, J. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.169463 · Cited by 20
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Vo, V. D., & Kinoshita, A. M. (2020) · Journal of Environmental Management · doi:10.1016/j.jenvman.2019.109993 · Cited by 19
Jones, J. A., & Hammond, J. C. (2020) · Hydrological Processes · doi:10.1002/hyp.13910 · Cited by 18
Hou, Y., Wei, X., Vore, M. E., Déry, S. J., Pypker, T., & Giles‐Hansen, K. (2021) · Journal of Hydrology · doi:10.1016/j.jhydrol.2021.127362 · Cited by 17
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Mack, E., Lilja, R., Claggett, S., Sun, G., & Caldwell, P. V. (2022) · doi:10.2737/wo-gtr-99 · Cited by 15
Self-citationXu, Y., Guo, H., Liu, J., Sun, R., & Li, X. (2023) · Frontiers in Environmental Science · doi:10.3389/fenvs.2023.1137372 · Cited by 14
Deval, C., Brooks, E. S., Gravelle, J. A., Link, T. E., Dobre, M., & Elliot, W. J. (2021) · Forest Ecology and Management · doi:10.1016/j.foreco.2021.119312 · Cited by 17
Wu, J., Baartman, J. E. M., & Nunes, J. P. (2021) · CATENA · doi:10.1016/j.catena.2021.105620 · Cited by 14
Liu, N., Dobbs, G. R., Caldwell, P. V., Miniat, C. F., Sun, G., Duan, K., Nelson, S. A. C., Bolstad, P. V., & Carlson, C. P. (2022) · doi:10.2737/wo-gtr-100 · Cited by 14
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Wildland fire impacts on water yield across the contiguous United States
Hallema, D. W., Sun, G., Caldwell, P. V., Robinne, F., Bladon, K. D., Norman, S. P., Liu, Y., Cohen, E. C., & McNulty, S. G. (2019) · doi:10.2737/srs-gtr-238 · Cited by 12
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Metadata
- 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
- ORCID
- Venue
- Nature Communications
- Published
- 2018-04-10
- Volume
- 9
- Issue
- 1
- Pages
- 1307-1307
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC5893570
- OpenAlex
- W2797232962
- Semantic Scholar
- e6a7d997dbf3851364e2e4cfc752463137c24840
- 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
- gold
- doi.org
- 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 › Environmental Science › Water Science and Technology › 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
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.
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