2018
DOI: 10.5194/hess-22-1221-2018
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Characterization and evaluation of controls on post-fire streamflow response across western US watersheds

Abstract: Abstract. This research investigates the impact of wildfires on watershed flow regimes, specifically focusing on evaluation of fire events within specified hydroclimatic regions in the western United States, and evaluating the impact of climate and geophysical variables on response. Eighty-two watersheds were identified with at least 10 years of continuous pre-fire daily streamflow records and 5 years of continuous post-fire daily flow records. Percent change in annual runoff ratio, low flows, high flows, peak… Show more

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Cited by 57 publications
(38 citation statements)
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References 49 publications
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“…Due to increased wildfire activity, there has been substantial research in recent years on the effects of wildfire on discharge; however, the vast majority of studies have focussed on the initial (<5 years) post‐fire effects (Hallema et al, ; Kinoshita & Hogue, ; Smith, Sheridan, Lane, & Bren, ). Comparatively fewer studies have investigated the longer‐term legacy of wildfire effects on catchment hydrology (Hallema et al, ; Saxe, Hogue, & Hay, ). Certainly, the majority of studies have illustrated the greatest effects during the first several years, followed by a decline at various rates before returning to a near pre‐fire condition (Ebel & Mirus, ; Vieira, Malvar, Fernandez, Serpa, & Keizer, ).…”
Section: Introductionmentioning
confidence: 99%
“…Due to increased wildfire activity, there has been substantial research in recent years on the effects of wildfire on discharge; however, the vast majority of studies have focussed on the initial (<5 years) post‐fire effects (Hallema et al, ; Kinoshita & Hogue, ; Smith, Sheridan, Lane, & Bren, ). Comparatively fewer studies have investigated the longer‐term legacy of wildfire effects on catchment hydrology (Hallema et al, ; Saxe, Hogue, & Hay, ). Certainly, the majority of studies have illustrated the greatest effects during the first several years, followed by a decline at various rates before returning to a near pre‐fire condition (Ebel & Mirus, ; Vieira, Malvar, Fernandez, Serpa, & Keizer, ).…”
Section: Introductionmentioning
confidence: 99%
“…As such, concerns have grown regarding the immediate and longer‐term effects on forest resilience and the water supply originating in forests (Hallema, Robinne, & Bladon, 2018; Stevens‐Rumann et al, 2018). Increasingly severe wildfires have produced substantial and long‐lasting (>10 years) effects on annual streamflow and peak flows (Hallema, Sun, et al, 2018; Niemeyer, Bladon, & Woodsmith, 2020; Saxe, Hogue, & Hay, 2018), debris flows (Langhans et al, 2017; Nyman et al, 2015), physical and chemical water quality (Rhoades et al, 2019; Rust, Hogue, Saxe, & McCray, 2018), aquatic ecosystem health (Bixby et al, 2015; Emelko et al, 2016), and downstream drinking water supply (Emelko, Silins, Bladon, & Stone, 2011; Hohner, Terry, Townsend, Summers, & Rosario‐Ortiz, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…The predicted value is then the mean across the regression tree ensemble [43]. RF is robust to the presence of correlated or unhelpful predictors [44] and has been successfully used for many earth science applications, generally comparing favorably with linear and other nonlinear methods [45][46][47][48][49][50][51][52]. The implementation in the R randomForest package [53] was used.…”
Section: Nonlinear Model: Random Forest (Rf)mentioning
confidence: 99%