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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

A coupled modelling approach to assess the effect of fuel treatments on post-wildfire runoff and erosion

Gabriel Sidman A D , D. Phillip Guertin A , David C. Goodrich B , David Thoma C , Donald Falk A and I. Shea Burns A
+ Author Affiliations
- Author Affiliations

A School of Natural Resources and the Environment, University of Arizona, 1311 E. 4th Street, Ste. 325, Tucson, AZ 85721, USA.

B Southwest Watershed Research Center, USDA-ARS, 2000 E Allen Road, Tucson, AZ 85719, USA.

C Northern Colorado Plateau Network, NPS, 2327 University Way Suite 2, Bozeman, MT 59715, USA.

D Corresponding author. Email: gabriel.sidman@winrock.org

International Journal of Wildland Fire 25(3) 351-362 https://doi.org/10.1071/WF14058
Submitted: 17 April 2014  Accepted: 18 December 2014   Published: 27 April 2015

Abstract

The hydrological consequences of wildfires are among their most significant and long-lasting effects. As wildfire severity affects post-fire hydrological response, fuel treatments can be a useful tool for land managers to moderate this response. However, current models focus on only one aspect of the fire–watershed linkage (fuel treatments, fire behaviour, fire severity, watershed responses). This study outlines a spatial modelling approach that couples three models used sequentially to allow managers to model the effects of fuel treatments on post-fire hydrological responses. Case studies involving a planned prescribed fire at Zion National Park and a planned mechanical thinning at Bryce Canyon National Park were used to demonstrate the approach. Fuel treatments were modelled using FuelCalc and FlamMap within the Wildland Fire Assessment Tool (WFAT). The First Order Fire Effects Model (FOFEM) within WFAT was then used to evaluate the effectiveness of the fuel treatments by modelling wildfires on both treated and untreated landscapes. Post-wildfire hydrological response was then modelled using KINEROS2 within the Automated Geospatial Watershed Assessment tool (AGWA). This coupled model approach could help managers estimate the effect of planned fuel treatments on wildfire severity and post-wildfire runoff or erosion, and compare various fuel treatment scenarios to optimise resources and maximise mitigation results.

Additional keywords: AGWA, Bryce Canyon National Park, fire effects, watershed, WFAT, Zion National Park.


References

Agee JK, Skinner CN (2005) Basic principles of forest fuel reduction treatments. Forest Ecology and Management 211, 83–96.
Basic principles of forest fuel reduction treatments.Crossref | GoogleScholarGoogle Scholar |

Allen CD, Savage M, Falk DA, Suckling KF, Swetnam TW, Schulke T, Stacey PB, Morgan P, Hoffman M, Klingel JT (2002) Ecological restoration of southwestern ponderosa pine ecosystems: a broad perspective. Ecological Applications 12, 1418–1433.
Ecological restoration of southwestern ponderosa pine ecosystems: a broad perspective.Crossref | GoogleScholarGoogle Scholar |

Anderson HW, Hoover MD, Reinhart KG (1976) Forests and water: effects of forest management on floods, sedimentation, and water supply. USDA Forest Service, Southwest Forest and Range Experiment Station, General Technical Report PSW- 18/1976. (Berkeley, CA)

Brothwell D (2012) Rainbow Point Mechanical Fuel Reduction Plan. Bryce Canyon National Park. (Bryce Canyon, UT)

Burns IS (2013) AGWA 2.0 Documentation. Available at http://www.tucson.ars.ag.gov/agwa/index.php?option=com_content&view=article&id=22&Itemid=41 [Verified 10 March 2015]

Canfield EH, Burns IS, Goodrich DC (2005) Selection of parameter values to model post-fire runoff and sediment transport at the watershed scale in southwestern forests. In ‘Managing Watersheds for Human and Natural Impacts: Engineering, Ecological, and Economic Challenges’, Watershed Management Conference, 19–22 July 2005, Williamsburg, VA. American Society of Civil Engineers, pp. 1–12.

DeBano LF (2003) The role of fire and soil heating on water repellency. In ‘Soil Water Repellency: Occurrence, Consequences, and Amelioration’. (Eds CJ Ritsema, LW Dekker) pp. 193–202. (Elsevier: Amsterdam)

DeBano LF, Neary DG, Ffolliott PF (1998) ‘Fire Effects on Ecosystems.’ (Wiley: New York, NJ)

Doremus L, Kreamer D (2000) Groundwater movement and water chemistry at Bryce Canyon National Park. Hydrology and Water Resources in Arizona and the Southwest 30,

Drury SA, Herynk JM (2011) The national tree-list layer. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-254. (Ft. Collins, CO)

Erdody TL, Moskal LM (2010) Fusion of LiDAR and imagery for estimating forest canopy fuels. Remote Sensing of Environment 114, 725–737.
Fusion of LiDAR and imagery for estimating forest canopy fuels.Crossref | GoogleScholarGoogle Scholar |

Foley JA, Levis S, Prentice IC, Pollard D, Thompson SL (1998) Coupling dynamic models of climate and vegetation. Global Change Biology 4, 561–579.
Coupling dynamic models of climate and vegetation.Crossref | GoogleScholarGoogle Scholar |

Fulé PZ, Swetnam TW, Brown PM, Falk DA, Peterson DL, Allen CD, Aplet GH, Battaglia MA, Binkley D, Farris C, Keane RE, Margolis EQ, Grissino-Mayer H, Miller C, Sieg CH, Skinner C, Stephens SL, Taylor AH (2013) Unsupported and inaccurate inferences of high severity fire in historical western United States dry forests: response to Williams and Baker. Global Ecology and Biogeography
Unsupported and inaccurate inferences of high severity fire in historical western United States dry forests: response to Williams and Baker.Crossref | GoogleScholarGoogle Scholar |

GAO (2007) Wildland fire management: better information and a systematic process could improve agencies’ approach to allocating fuel reduction funds and selecting projects. General Accountability Office Report GAO-07–1168. (Washington, DC)

GAO (2009), Federal agencies have taken important steps forward, but additional, strategic action is needed to capitalize on those steps. General Accountability Office Report GAO-09–877. (Washington, DC)

Goodrich DC (1990) Geometric simplification of a distributed rainfall–runoff model over a range of basin scales. PhD thesis, University of Arizona, Tucson.

Goodrich DC, Unkrich CL, Keefer TO, Nichols MH, Stone JJ, Levick LR, Scott RL (2008) Event to multidecadal persistence in rainfall and runoff in southeast Arizona. Water Resources Research 44,
Event to multidecadal persistence in rainfall and runoff in southeast Arizona.Crossref | GoogleScholarGoogle Scholar |

Goodrich DC, Burns IS, Unkrich CL, Semmens D, Guertin DP, Hernandez M, Yatheendradas S, Kennedy J, Levick LR (2012) KINEROS2/AGWA: model use, calibration, and validation. Transactions of the ASABE 55, 1561–1574.
KINEROS2/AGWA: model use, calibration, and validation.Crossref | GoogleScholarGoogle Scholar |

Graham RT, McCaffrey S, Jain TB (2004) Science basis for changing forest structure to modify wildfire behavior and severity. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-120. (Ft. Collins, CO)

Harrington MG (1987) Ponderosa pine mortality from spring, summer, and fall crown scorching. Western Journal of Applied Forestry 2, 14–16.

Heward H, Lutes D, Keane R, Scott J, Gangi L (2013) FuelCalc user’s guide (version 1.1.0). Available at http://www.firelab.org/project/fuelcalc [Verified 10 March 2015]

Hull Sieg C, McMillin JD, Fowler JF, Allen KK, Negron JF, Wadleigh LL, Anhold JA, Gibson KE (2006) Best predictors for post-fire mortality of ponderosa pine trees in the Intermountain West. Forest Science 52, 718–728.

Keane RE, Drury SA, Karau EC, Hessburg PF, Reynolds KM (2010) A method for mapping fire hazard and risk across multiple scales and its application in fire management. Ecological Modelling 221, 2–18.
A method for mapping fire hazard and risk across multiple scales and its application in fire management.Crossref | GoogleScholarGoogle Scholar |

Keeley JE (2009) Fire intensity, fire severity, and burn severity: a brief review and suggested usage. International Journal of Wildland Fire 18, 116–126.
Fire intensity, fire severity, and burn severity: a brief review and suggested usage.Crossref | GoogleScholarGoogle Scholar |

Kelletat D (1985) Patterned ground by rainstorm erosion on the Colorado Plateau, Utah. Catena 12, 255–259.
Patterned ground by rainstorm erosion on the Colorado Plateau, Utah.Crossref | GoogleScholarGoogle Scholar |

Kennedy MC, Johnson MC (2014) Fuel treatment prescriptions alter spatial patterns of fire severity around the wildland–urban interface during the Wallow Fire, Arizona, USA. Forest Ecology and Management 318, 122–132.
Fuel treatment prescriptions alter spatial patterns of fire severity around the wildland–urban interface during the Wallow Fire, Arizona, USA.Crossref | GoogleScholarGoogle Scholar |

Larsen IJ, MacDonald LH (2007) Predicting post-fire sediment yields at the hillslope scale: testing RUSLE and disturbed WEPP. Water Resources Research 43,
Predicting post-fire sediment yields at the hillslope scale: testing RUSLE and disturbed WEPP.Crossref | GoogleScholarGoogle Scholar |

Loomis J, Wohlgemuth P, González‐Cabán A, English D (2003) Economic benefits of reducing fire‐related sediment in southwestern fire‐prone ecosystems. Water Resources Research 39,
Economic benefits of reducing fire‐related sediment in southwestern fire‐prone ecosystems.Crossref | GoogleScholarGoogle Scholar |

Lutes DC (2013) FOFEM 6.0 user guide. Available at: http://www.firelab.org/project/fofem [Verified 10 March 2015]

Malamud BD, Millington JD, Perry GL (2005) Characterizing wildfire regimes in the United States. Proceedings of the National Academy of Sciences of the United States of America 102, 4694–4699.
Characterizing wildfire regimes in the United States.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXjt1Oiu74%3D&md5=73b66399814df7717088caf814f47233CAS | 15781868PubMed |

Martinson EJ, Omi PN (2013) Fuel treatments and fire severity: a meta-analysis. USDA Forest Service, Rocky Mountain Research Station, RMRS-RP-103WWW. (Fort Collins, CO)

Meixner T, Wohlgemuth P (2004) Wildfire impacts on water quality. Southwest Hydrology 3, 24–25.
Wildfire impacts on water quality.Crossref | GoogleScholarGoogle Scholar |

Moody JA, Martin DA (2009) Synthesis of sediment yields after wildland fire in different rainfall regimes in the western United States. International Journal of Wildland Fire 18, 96–115.
Synthesis of sediment yields after wildland fire in different rainfall regimes in the western United States.Crossref | GoogleScholarGoogle Scholar |

Moody JA, Shakesby RA, Robichaud PR, Cannon SH, Martin DA (2013) Current research issues related to post-wildfire runoff and erosion processes. Earth-Science Reviews 122, 10–37.
Current research issues related to post-wildfire runoff and erosion processes.Crossref | GoogleScholarGoogle Scholar |

National Oceanic and Atmospheric Administration (2013) NOAA Atlas 14 point precipitation frequency estimates. Available at http://hdsc.nws.noaa.gov/hdsc/pfds/pfds_map_cont.html?bkmrk=nm [Verified 10 March 2015]

National Park Service (2004) Zion National Park Fire Management Plan. DOI National Park Service, Zion National Park. (Springdale, UT)

National Park Service (2006) Zion National Park Fire and Aviation Management DOI National Park Service, Zion National Park Annual Report 2006. (Springdale, UT)

Neary DG, Ffolliott PF, Landsberg JD (2005) Chapter 5: Fire and streamflow regimes. In ‘Wildland Fire in Ecosystems: Effects of Fire on Soils and Water’ (Eds DG Neary, KC Ryan, LF DeBano) USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-42-volume 4, pp. 107–117. (Fort Collins, CO)

North M, Collins BM, Stephens S (2012) Using fire to increase the scale, benefits, and future maintenance of fuels treatments. Journal of Forestry 110, 392–401.
Using fire to increase the scale, benefits, and future maintenance of fuels treatments.Crossref | GoogleScholarGoogle Scholar |

Reinhardt E (2003) Using FOFEM 5.0 to estimate tree mortality, fuel consumption, smoke production and soil heating from wildland fire. USDA Forest Service, Missoula Fire Sciences Laboratory. (Orlando, FL)

Robichaud PR, Beyers JL, Neary DG (2000) Evaluating the effectiveness of post-fire rehabilitation treatments. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-63. (Fort Collins, CO)

Robichaud PR, Elliot WJ, Pierson FB, Hall DE, Moffet CA, Ashmun LE (2007) Erosion Risk Management Tool (ERMiT) user manual (version 2006.01. 18). USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-188. (Fort Collins, CO)

Robichaud PR, Wagenbrenner JW, Brown RE, Wohlgemuth PM, Beyers JL (2008) Evaluating the effectiveness of contour-felled log erosion barriers as a post-fire runoff and erosion mitigation treatment in the western United States. International Journal of Wildland Fire 17, 255–273.
Evaluating the effectiveness of contour-felled log erosion barriers as a post-fire runoff and erosion mitigation treatment in the western United States.Crossref | GoogleScholarGoogle Scholar |

Rollins MG (2009) LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment. International Journal of Wildland Fire 18, 235–249.
LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment.Crossref | GoogleScholarGoogle Scholar |

Ryan KC, Reinhardt ED (1988) Predicting postfire mortality of seven western conifers. Canadian Journal of Forest Research 18, 1291–1297.
Predicting postfire mortality of seven western conifers.Crossref | GoogleScholarGoogle Scholar |

Semmens D, Goodrich D, Unkrich C, Smith R, Woolhiser D, Miller S (2007) KINEROS2 and the AGWA modelling framework. In ‘Hydrological Modeling in Arid and Semi-Arid Areas’. (Eds H Wheater, S Sorooshian, KD Sharma) pp. 49–68. (Cambridge University Press: Cambridge, UK)

Sidman G, Guertin DP, Goodrich DC, Unkrich C, Burns IS (2014) The effects of varying rainfall representations on post-fire runoff response in the KINEROS2/AGWA model. International Journal of Wildland Fire , (In press). [this issue].

Stephens SL, Finney MA (2002) Prescribed fire mortality of Sierra Nevada mixed conifer tree species: effects of crown damage and forest floor combustion. Forest Ecology and Management 162, 261–271.
Prescribed fire mortality of Sierra Nevada mixed conifer tree species: effects of crown damage and forest floor combustion.Crossref | GoogleScholarGoogle Scholar |

Stephens SL, Agee JK, Fulé PZ, North MP, Romme WH, Swetnam TW, Turner MG (2013) Managing forests and fire in changing climates. Science 342, 41–42.
Managing forests and fire in changing climates.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhsF2jtrjE&md5=4bf029d6d93bee5a09b39aa25c4d2483CAS | 24092714PubMed |

Swetnam TL, Falk DA (2014) Application of metabolic scaling theory to reduce error in local maxima tree segmentation from aerial LiDAR. Forest Ecology and Management 323, 158–167.
Application of metabolic scaling theory to reduce error in local maxima tree segmentation from aerial LiDAR.Crossref | GoogleScholarGoogle Scholar |

Tirmenstein D, Long J, Heward H (2012) Wildland Fire Assessment Tool user’s guide version 2.2.0. The National Interagency Fuels, Fire, and Vegetation Technology Transfer Team. (Boise, ID)

van Leeuwen M, Nieuwenhuis M (2010) Retrieval of forest structural parameters using LiDAR remote sensing. European Journal of Forest Research 129, 749–770.
Retrieval of forest structural parameters using LiDAR remote sensing.Crossref | GoogleScholarGoogle Scholar |

van Mantgem PJ, Nesmith JCB, Keifer M, Knapp E, Flint AL, Flint LE (2013a) Climatic stress increases forest fire severity across the western United States. Ecology Letters
Climatic stress increases forest fire severity across the western United States.Crossref | GoogleScholarGoogle Scholar | 23869626PubMed |

van Mantgem PJ, Nesmith JCB, Keifer M, Brooks ML (2013b) Tree mortality patterns following prescribed fire for Pinus and Abies across the southwestern United States. Forest Ecology and Management 289, 463–469.
Tree mortality patterns following prescribed fire for Pinus and Abies across the southwestern United States.Crossref | GoogleScholarGoogle Scholar |

Wildfire Leadership Council (2014) Monitoring Trends in Burn Severity. Available at www.mtbs.gov [Verified 10 March 2015]

Wohlgemuth PM, Beyers JL, Conard SG (1999) Postfire hillslope erosion in southern California chaparral: a case study of prescribed fire as a sediment management tool. USDA Forest Service, Pacific Southwest Research Station General Technical Report PSW-GTR-173. (Eds A González-Cabán, PN Omi) pp. 269–276. (Albany, CA)

Zion National Park (2009) Wildcat Prescribed Fire Plan. DOI National Park Service, Zion National Park. (Springdale, UT)