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

Targeting forest management through fire and erosion modelling

William J. Elliot A D , Mary Ellen Miller B and Nic Enstice C
+ Author Affiliations
- Author Affiliations

A USDA, Forest Service, Rocky Mountain Research Station, 1221 South Main Street, Moscow ID 83843, USA.

B Michigan Tech Research Institute, Michigan Technological University, 3600 Green Court, Suite 100, Ann Arbor, MI 48105, USA.

C Sierra Nevada Conservancy, 11521 Blocker Drive, Suite 205, Auburn, CA 95603, USA.

D Corresponding author. Email: welliot@fs.fed.us

International Journal of Wildland Fire 25(8) 876-887 https://doi.org/10.1071/WF15007
Submitted: 14 January 2015  Accepted: 14 January 2016   Published: 5 April 2016

Abstract

Forests deliver a number of important ecosystem services, including clean water. When forests are disturbed by wildfire, the timing, quantity and quality of runoff are altered. A modelling study was conducted in a forested watershed in California, USA, to determine the risk of wildfire, and the potential post-fire sediment delivery from ~4-ha hillslope polygons within a 1500-km2 basin following a wildfire event. Wildfire intensity was estimated with fire spread models. The estimation of soil burn severity was based on predicted flame length. Sediment delivery was estimated from each hillslope polygon using a Geographic Information System erosion model. Polygons that generated the greatest amount of sediment, affected other values at risk in the basin, or were critical for reducing fire spread were ‘treated’ by reducing the amount and type of fuel available for a wildfire. The fire and erosion models were run a second time for treated conditions to see whether the treatment resulted in a reduced fire intensity and probability, and hence a reduced erosion rate. The estimated erosion rates the first year after the fire dropped from 46 Mg ha–1 before treatment to 26 Mg ha–1 for polygons that had received fuel treatments.

Additional keywords: FlamMap, GeoWEPP.


References

Agee JK (1993) ‘Fire ecology of Pacific Northwest forests.’ (Island Press: Washington, DC)

Ager AA, Finney MA, Kerns BK, Maffei H (2007) Modeling wildfire risk to northern spotted owl (Strix occidentalis caurina) habitat in central Oregon, USA. Forest Ecology and Management 246, 45–56.
Modeling wildfire risk to northern spotted owl (Strix occidentalis caurina) habitat in central Oregon, USA.Crossref | GoogleScholarGoogle Scholar |

Ager AA, Vaillant NM, McMahan A (2013) Restoration of fire in managed forests: a model to prioritize landscapes and analyze trade-offs. Ecosphere 4, art29
Restoration of fire in managed forests: a model to prioritize landscapes and analyze trade-offs.Crossref | GoogleScholarGoogle Scholar |

Alexander ME, Cruz MG (2012) Interdependencies between flame length and fire-line intensity in predicting crown fire initiation and crown scorch height. International Journal of Wildland Fire 21, 95–113.
Interdependencies between flame length and fire-line intensity in predicting crown fire initiation and crown scorch height.Crossref | GoogleScholarGoogle Scholar |

Andrews PL, Rothermel RC (1982) Charts for interpreting wildland fire behavior characteristics. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-131. (Ogden, UT)

Breibart A, Leep K, Mulder C, Shannon C (2004) Technical specialist’s report – Burned Area Emergency Response for the Power Fire. (USDA Forest Service Region 5: Vallejo, CA).

Brooks ES, Dobre M, Elliot WJ, Wu JQ, Boll J (2016) Watershed-scale evaluation of the Water Erosion Prediction Project (WEPP) model in the Lake Tahoe Basin. Journal of Hydrology 533, 389–402.
Watershed-scale evaluation of the Water Erosion Prediction Project (WEPP) model in the Lake Tahoe Basin.Crossref | GoogleScholarGoogle Scholar |

Buckley M, Beck N, Bowden P, Miller ME, Hill B, Luce C, Elliot WJ, Enstice N, Podolak K, Winford E, Smith SL, Bokach M, Reichert M, Edelson D, Gaither J (2014) Mokelumne watershed avoided cost analysis: why Sierra fuel treatments make economic sense. Report prepared for the Sierra Nevada Conservancy, The Nature Conservancy and USDA Forest Service. (Sierra Nevada Conservancy: Auburn, CA) Available at http://www.sierranevada.ca.gov/mokelumne [Verified 28 August 2014]

Byram GM (1959) Combustion of forest fuels. In ‘Forest fire: control and use’. (Ed. KP Davis) pp. 61–89, 554–555. (McGraw-Hill: New York, NY)

Cochrane MA, Moran CJ, Wimberly MC, Baer AD, Finney MA, Beckendorf KL, Eidenshink J, Zhu Z (2012) Estimation of wildfire size and risk changes due to fuels treatments. International Journal of Wildland Fire 21, 357–367.
Estimation of wildfire size and risk changes due to fuels treatments.Crossref | GoogleScholarGoogle Scholar |

Daly C, Gibson WP, Doggett M, Smith J, Taylor G (2004) Up-to-date monthly climate maps for the conterminous United States. In ‘Proceedings, 14th American Meteorological Society (AMS) Conference on Applied Climatology’, 13–16 January 2004, Seattle, WA. 84th AMS Annual Meeting Combined Preprints, Paper P5.1, CD_ROM (AMS: Boston, MA)

Dobre M, Wu JQ, Elliot WJ, Miller IS, Jain TB (2014) Effects of topographic features on post-fire exposed mineral soil in small watersheds. Forest Science 60, 1060–1067.

Elliot WJ (2004) WEPP internet interfaces for forest erosion prediction. Journal of the American Water Resources Association 40, 299–309.
WEPP internet interfaces for forest erosion prediction.Crossref | GoogleScholarGoogle Scholar |

Elliot WJ (2013) Erosion processes and prediction with WEPP technology in forests in the north-western US. Transactions of the ASABE 56, 563–579.
Erosion processes and prediction with WEPP technology in forests in the north-western US.Crossref | GoogleScholarGoogle Scholar |

Elliot WJ, Miller IS (2004) Measuring low rates of erosion from forest fuel reduction operations. Presented at the Annual International Meeting of the ASAE and CSAE. 1–4 August, Ottawa, ON. Paper Number: 045018. (American Society of Agricultural Engineers: St Joseph, MI)

Elliot WJ, Hall DE, Scheele DL (1999) Rock : Clime Rocky Mountain Research Station Stochastic Weather Generator Technical Documentation. (USDA Forest Service, Rocky Mountain Research Station: Moscow, ID) Available at http://forest.moscowfsl.wsu.edu/fswepp/docs/rockclimdoc.html [Verified 12 January 2015]

Elliot WJ, Hall DE, Scheele DL (2000) Disturbed WEPP (Draft 02/2000) WEPP interface for disturbed forest and range runoff, erosion and sediment delivery. (USDA Forest Service, Rocky Mountain Research Station: Moscow, ID) Available at http://forest.moscowfsl.wsu.edu/fswepp/docs/distweppdoc.html. [Verified 14 January, 2015]

Finney MA (2006) An overview of FlamMap modeling capabilities. In ‘Fuels management – How to measure success: conference proceedings.’ (Comps PL Andrews, BW Butler) USDA Forest Service, Rocky Mountain Research Station, Conference Proceedings RMRS-P-41, pp. 213–219. (Fort Collins, CO)

Finney MA, Seli RC, McHugh CW, Ager AA, Bahro B, Agee JK (2007) Simulation of long-term landscape-level fuel treatment effects on large wildfires. International Journal of Wildland Fire 16, 712–727.
Simulation of long-term landscape-level fuel treatment effects on large wildfires.Crossref | GoogleScholarGoogle Scholar |

Finney MA, McHugh CW, Grenfell IC, Riley KL, Short KC (2011) A simulation of probabilistic wildfire risk components for the continental United States. Stochastic Environmental Research and Risk Assessment 25, 973–1000.
A simulation of probabilistic wildfire risk components for the continental United States.Crossref | GoogleScholarGoogle Scholar |

Flanagan DC, Nearing MA (1995) USDA – Water Erosion Prediction Project: hillslope profile and watershed model documentation. NSERL Report No. 10. (USDA–Agricultural Research Service National Soil Erosion Research Laboratory: West Lafayette, IN)

Flannigan MD, Stocks BJ, Wotton BM (2000) Climate change and forest fires. The Science of the Total Environment 262, 221–229.
Climate change and forest fires.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXotleru78%3D&md5=bcaefc68de228ba35fa8b7462aee031aCAS | 11087028PubMed |

Forrest CL, Harding MV (1994) Erosion and sediment control: preventing additional disasters after the southern California fires. Journal of Soil and Water Conservation 49, 535–541.

Government Accountability Office (GAO) (1999) Western national forests: a cohesive strategy is needed to address catastrophic wildland fire threats. Report GAO/RCED–99–65. (GAO: Washington, DC)

Government Accountability Office (GAO) (2007) Wildland fire management: better information and a systematic process could improve agencies’ approach to allocating fuel reduction funds and selecting projects. Report GAO-07-1168. (GAO: Washington, DC) Available at http://www.gao.gov/assets/270/267638.pdf [Verified 18 February 2016]

Garbrecht J, Martz LW (1999) TOPAZ: an automated digital landscape analysis tool for topographic evaluation, drainage identification, watershed segmentation and subcatchment parameterization. Publication No. GRL 99–1. (USDA Agricultural Research Service: El Reno, OK)

Geological Society of America (GSA) (2015) Wildfires may double erosion across a quarter of western US watersheds by 2050. (GSA: Boulder, CO). Available at http://www.geosociety.org/news/pr/2015/15-85.htm [Verified 7 December 2015]

Gesch D, Oimoen M, Greenlee S, Nelson C, Steuck M, Tyler D (2002) The National Elevation Dataset. Photogrammetric Engineering and Remote Sensing 68, 5–11.

Gesch DB (2007) The National Elevation Dataset. In ‘Digital elevation model technologies and applications: the DEM users’ manual, 2nd edn.’ (Ed. D Maune) pp. 99–118. (American Society for Photogrammetry and Remote Sensing: Bethesda, MD)

Hessburg PF, Reynolds KM, Keane RE, James KM, Salter RB (2007) Evaluating wildland fire danger and prioritizing vegetation and fuels treatments. Forest Ecology and Management 247, 1–17.
Evaluating wildland fire danger and prioritizing vegetation and fuels treatments.Crossref | GoogleScholarGoogle Scholar |

Holden ZA, Morgan P, Evans JS (2009) A predictive model of burn severity based on 20-year satellite-inferred burn severity data in a large south-western US wilderness area. Forest Ecology and Management 258, 2399–2406.
A predictive model of burn severity based on 20-year satellite-inferred burn severity data in a large south-western US wilderness area.Crossref | GoogleScholarGoogle Scholar |

Jolly WM, Cochrane MA, Freeborn PH, Holden ZA, Brown TJ, Williamson GJ, Bowman DMJS (2015) Climate-induced variations in global wildfire danger from 1979 to 2013. Nature Communications 6, 7537
Climate-induced variations in global wildfire danger from 1979 to 2013.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXhtlCjsb7P&md5=59fc53be9e40d61307f172a0571e3afdCAS | 26172867PubMed |

Keane RE, Ryan KC, Veblen TT, Allen CD, Logan J, Hawkes B (2002) Cascading effects of fire exclusion in Rocky Mountain ecosystems: a literature review. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-91. (Fort Collins, CO)

Keeley J (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 |

Laflen JM, Elliot WJ, Flanagan DC, Meyer CR, Nearing MA (1997) WEPP-predicting water erosion using a process-based model. Journal of Soil and Water Conservation 52, 96–102.

Lewis SA, Wu JQ, Robichaud PR (2006) Assessing burn severity and comparing soil water repellency, Hayman Fire, Colorado. Hydrological Processes 20, 1–16.
Assessing burn severity and comparing soil water repellency, Hayman Fire, Colorado.Crossref | GoogleScholarGoogle Scholar |

Miller ME, MacDonald LH, Robichaud PR, Elliot WJ (2011) Predicting post-fire hillslope erosion in forest lands of the western United State. International Journal of Wildland Fire 20, 982–999.
Predicting post-fire hillslope erosion in forest lands of the western United State.Crossref | GoogleScholarGoogle Scholar |

Moody JA, Martin DA (2001) Hydrologic and sedimentation response of two burned watersheds in Colorado. Water Resources Investigative Report 01–4122. (US Geological Survey: Denver, CO)

Moreira F, Viedma O, Arianoutsou M, Curt T, Koutsias N, Rigolot E, Barbati A, Corona P, Vaz P, Xanthopoulos G, Mouillot F, Bilgili E (2011) Landscape–wildfire interactions in southern Europe: implications for landscape management. Journal of Environmental Management 92, 2389–2402.

Mote PW (2006) Climate-driven variability and trends in mountain snowpack in western North America. Journal of Climate 19, 6209–6220.
Climate-driven variability and trends in mountain snowpack in western North America.Crossref | GoogleScholarGoogle Scholar |

Neary DG, Ryan KC, DeBano LF (2005) Wildland fire in ecosystems: effects of fire on soils and water. USDA Forest Service, Rocky Mountain Research Station, General Technical Report 42, Vol. 4. (Ogden, UT)

Nicks AD, Lane LJ, Gander GA (1995) Weather generator. In ‘USDA – Water Erosion Prediction Project hillslope profile and watershed model documentation.’ (Eds DC Flanagan, MA Nearing) pp. 2.1–2.22 (USDA Agricultural Research Service: West Lafayette, IN)

Parks SA, Miller C, Nelson CR, Holden ZA (2014) Previous fires moderate burn severity of subsequent wildland fires in two large western US wilderness areas. Ecosystems 17, 29–42.
Previous fires moderate burn severity of subsequent wildland fires in two large western US wilderness areas.Crossref | GoogleScholarGoogle Scholar |

Parsons A, Robichaud PR, Lewis SA, Napper C, Clark JT (2010) Field guide for mapping post-fire soil burn severity. USDA Forest Service, Rocky Mountain Research Station, General Technical Report 243. (Fort Collins, CO)

Pierson FB, Robichaud PR, Spaeth KE (2001) Spatial and temporal effects of wildfire on the hydrology of a steep rangeland watershed. Hydrological Processes 15, 2905–2916.
Spatial and temporal effects of wildfire on the hydrology of a steep rangeland watershed.Crossref | GoogleScholarGoogle Scholar |

Rauscher SA, Pal JS, Diffenbaugh NS, Benedetti MM (2008) Future changes in snowmelt-driven runoff timing over the western US. Geophysical Research Letters 35, L16703
Future changes in snowmelt-driven runoff timing over the western US.Crossref | GoogleScholarGoogle Scholar |

Reinhardt ED, Keane RE, Calkin DE, Cohen JD (2008) Objectives and considerations for wildland fuel treatment in forested ecosystems of the interior western United States. Forest Ecology and Management 256, 1997–2006.
Objectives and considerations for wildland fuel treatment in forested ecosystems of the interior western United States.Crossref | GoogleScholarGoogle Scholar |

Renschler CS (2003) Designing geospatial interfaces to scale process models: the GeoWEPP approach. Hydrological Processes 17, 1005–1017.
Designing geospatial interfaces to scale process models: the GeoWEPP approach.Crossref | GoogleScholarGoogle Scholar |

Robichaud PR, Elliot WJ, Pierson FB, Hall DE, Moffet CA (2007) Predicting post-fire erosion and mitigation effectiveness with a web-based probabilistic erosion model. Catena 71, 229–241.
Predicting post-fire erosion and mitigation effectiveness with a web-based probabilistic erosion model.Crossref | GoogleScholarGoogle Scholar |

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 |

Robichaud PR, Wagenbrenner JW, Lewis SA, Ashmun LE (2013) Post-fire mulching for runoff and erosion mitigation Part II: Effectiveness in reducing runoff and sediment yields from small catchments. Catena 105, 93–111.
Post-fire mulching for runoff and erosion mitigation Part II: Effectiveness in reducing runoff and sediment yields from small catchments.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 |

Sampson RN, Atkinson RD, Lewis JW (2000) Indexing resource data for forest health decision making. Journal of Sustainable Forestry 11, 1–14.
Indexing resource data for forest health decision making.Crossref | GoogleScholarGoogle Scholar |

Santín C, Doerr SH, Otero XL, Chafer CJ (2015) Quantity, composition and water contamination potential of ash produced under different wildfire severities. Environmental Research 142, 297–308.
Quantity, composition and water contamination potential of ash produced under different wildfire severities.Crossref | GoogleScholarGoogle Scholar | 26186138PubMed |

Scheele DL, Elliot WJ, Hall DE (2001) Enhancements to the CLIGEN weather generator for mountainous or custom applications. In ‘Soil erosion research for the 21st century’. (Eds JC Ascough II, DC Flanagan) pp. 392–395. (American Society of Agricultural Engineers: St Joseph, MI)

Sidman G, Guertin DP, Goodrich DC, Thoma D, Falk D, Burns IS (2015) A coupled modelling approach to assess the impact of fuel treatments on post-wildfire runoff and erosion. International Journal of Wildland Fire 25, 351–362.
A coupled modelling approach to assess the impact of fuel treatments on post-wildfire runoff and erosion.Crossref | GoogleScholarGoogle Scholar |

Smith HG, Sheridan GJ, Lane PN, Nyman P, Haydon S (2011) Wildfire effects on water quality in forest catchments: a review with implications for water supply. Journal of Hydrology 396, 170–192.
Wildfire effects on water quality in forest catchments: a review with implications for water supply.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhsF2htbnK&md5=e4bf7eee756ff5fda0b433a46018c986CAS |

Steel ZL, Safford HD, Viers J (2015) The fire frequency-severity relationship and the legacy of fire suppression in California forests. Ecosphere 6, 8
The fire frequency-severity relationship and the legacy of fire suppression in California forests.Crossref | GoogleScholarGoogle Scholar |

Tiedemann AR, Conrad CE, Dieterich JH, Hornbeck JW, Megahan WF (1979) Effects of fire on water: a state-of-knowledge review. General Technical Report WO-10. (USDA Forest Service: Washington, DC)

USDA (1991) State soil geographic (STATSGO) data base data use information. Miscellaneous Publication 1492. (USDA: Washington, DC)

US Department of the Interior (2013) USDA and Interior announce partnership to protect America’s water supply from increased wildfire risk [Press release]. Available at http://www.doi.gov/news/pressreleases/usda-and-interior-announce-partnership-to-protect-americas-water-supply-from-increased-wildfire-risk.cfm [Verified 11 November, 2015]

Westerling AL, Hidalgo HG, Cayan DR, Swetnam TW (2006) Warming and earlier spring increase western US forest wildfire activity. Science 313, 940–943.
Warming and earlier spring increase western US forest wildfire activity.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XotFCitbo%3D&md5=63b22aab2b41b6316345dc06d421f040CAS | 16825536PubMed |