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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

Novel fuelbed characteristics associated with mechanical mastication treatments in northern California and south-western Oregon, USA

Jeffrey M. Kane A C , J. Morgan Varner A and Eric E. Knapp B
+ Author Affiliations
- Author Affiliations

A Humboldt State University, Department of Forestry and Wildland Resources, Arcata, CA 95521, USA.

B USDA Forest Service, Pacific Southwest Research Station, Redding, CA 96002, USA.

C Corresponding author. Present address: Northern Arizona University, School of Forestry, Flagstaff, AZ 86011, USA. Email: jeffreykane@gmail.com

International Journal of Wildland Fire 18(6) 686-697 https://doi.org/10.1071/WF08072
Submitted: 10 May 2008  Accepted: 24 November 2008   Published: 22 September 2009

Abstract

Mechanically masticated fuelbeds are distinct from natural or logging slash fuelbeds, with different particle size distributions, bulk density, and particle shapes, leading to challenges in predicting fire behavior and effects. Our study quantified some physical properties of fuel particles (e.g. squared quadratic mean diameter, proportion of non-cylindrical particles) and surface fuel loading with planar intercept and plot-based methods in 10 mechanically masticated sites in northern California and south-western Oregon. Total woody fuel load differed among masticated sites, ranging from 15.3 to 63.4 Mg ha–1, with the majority of the load concentrated in the 10-h (53.7%) and 1-h (29.2%) time-lag classes. Masticated fuels were densely packed, with total depths ranging from 4.6 to 8.0 cm and fuelbed bulk densities ranging from 45.9 to 115.3 kg m–3. To accurately quantify loading in masticated fuelbeds, we recommend using a hybrid methodology, where 1-h and 10-h fuel loadings are estimated using a plot-based method and 100-h and 1000-h fuel loadings are estimated using the standard planar intercept method. Most masticated fuelbeds differed in loading by fuel class and fuelbed depth, when compared with existing natural and slash-based fuelbeds, suggesting new fire behavior fuel models specific to masticated fuelbeds may be warranted.

Additional keywords: Arctostaphylos, Ceanothus, fuel loading, fuels management, mechanical fuels treatment.


Acknowledgements

This project was funded by the Joint Fire Science Program, JFSP project no. 05–2-1–20. J. D. Stuart, C. Skinner, J. S. Glitzenstein, and an anonymous reviewer provided helpful comments to earlier drafts. Field data collection and sample processing was completed by E. Dotson and E. Orling, with supplemental help from P. Zhang, J. Kreye, and B. Graham. Additional thanks to P. Sikkink for providing the bootstrapping code in S-Plus.


References


Agee JK , Skinner C (2005) Basic principles of forest fuel reduction treatments. Forest Ecology and Management  211, 83–96.
Crossref | GoogleScholarGoogle Scholar | Andrews PL, Bevins CD, Carlton DW, Dolack M (2005) BehavePlus Fire Modeling System Version 3.0.2. USDA Forest Service, Rocky Mountain Research Station. (Missoula, MT)

ASTM (2002) ‘Standard Test Methods for Specific Gravity of Wood and Wood-Based Materials.’ D2395–02. (American Society for Testing and Materials: West Conshohocken, PA)

Blonski KS, Schramel JL (1981) Photo series for quantifying natural forest residues: Southern Cascades, Northern Sierra Nevada. USDA Forest Service, Pacific Southwest Forest and Range Experiment Station, General Technical Report PSW-56. (Berkeley, CA)

Bradley T, Gibson J, Bunn W (2006) Fuels management and non-native plant species: an evaluation of fire and fire surrogate treatments in a chaparral plant community. Final report to the Joint Fire Science Program. Available at http://www.firescience.gov/projects/01B-3-3-27/project/01B-3-3-27_final_report.pdf [Verified 14 August 2009]

Brown JK (1974) Handbook for inventorying downed woody material. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-16. (Ogden, UT)

Brown JK, Oberheu RD, Johnston CM (1982) Handbook for inventorying surface fuels and biomass in the interior west. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-129. (Ogden, UT)

Busse MD, Hubbert KR, Fiddler GO, Shestak CJ , Powers RF (2005) Lethal soil temperatures during burning of masticated forest residues. International Journal of Wildland Fire  14, 267–276.
Crossref | GoogleScholarGoogle Scholar | Hintze JL (2006) ‘Number-Crunching Statistical Systems, Version 2006.’ (NCSS: Kaysville, UT)

Hood S, Wu R (2006) Estimating fuelbed loading in masticated areas. In ‘Fuels Management—How to measure success: Conference Proceedings’. (Eds PL Andrews, BW Butler) USDA Forest Service, Rocky Mountain Research Station, Proceedings RMRS-P-41, pp. 333–340. (Fort Collins, CO)

Insightful Corporation (2007) ‘S-Plus 8.0 for Windows Professional Version.’ (Insightful Corporation: Seattle, WA)

Jerman JL, Gould PJ , Fulé PZ (2004) Slash compression treatment reduced tree mortality from prescribed fire in south-western ponderosa pine. Western Journal of Applied Forestry  19, 149–153.
Martin RE, Gorden DA, Gutierrez ME, Lee DS, Molina DM, Schroeder RA, Sapsis DA, Stephens SL, Chambers M (1993) Assessing the flammability of domestic and wildland vegetation. In ‘Proceedings of the 12th Conference on Fire and Forest Meteorology’, 26–28 October, Jekyll Island, GA. pp. 130–137. (Society of American Foresters and the American Meteorological Society)

Maxwell WG, Ward FR (1979) Photo series for quantifying forest residues in the coastal Douglas-fir-hemlock type, coastal Douglas-fir-hardwood type. USDA Forest Service Northwest Forest and Range Experiment Station General Technical Report PNW-51. (Portland, OR)

Maxwell WG, Ward FR (1980) Photo series for quantifying natural forest residues in common vegetation types of the Pacific Northwest. USDA Forest Service, Pacific Northwest Forest and Range Experiment Station, General Technical Report PNW-105. (Portland, OR)

Moghaddas EEY , Stephens SL (2008) Mechanized fuel treatment effects on soil compaction in Sierra Nevada mixed-conifer stands. Forest Ecology and Management  255, 3098–3106.
Crossref | GoogleScholarGoogle Scholar | Ottmar RD, Peterson JL, Leenhouts B, Core JE (2001) Smoke management: techniques to reduce or redistribute emissions. In ‘Smoke Management Guide for Prescribed and Wildland Fire’. (Eds CC Hardy, RD Ottmar, JL Peterson, JE Core, P Seamon) USDA Forest Service, National Wildfire Coordination Group, PMS 420–2 NFES 1279, pp. 141–159. (Bosie, ID)

Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. USDA Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-115. (Ogden, UT)

Rothermel RC (1983) How to predict the spread and intensity of forest and range fires. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-143. (Ogden, UT)

Scarff FR , Westoby M (2006) Leaf litter flammability in some semi-arid Australian woodlands. Functional Ecology  20, 745–752.
Crossref | GoogleScholarGoogle Scholar | Sokal RR, Rohlf FJ (1995) ‘Biometry: the Principles and Practice of Statistics in Biological Research.’ 3rd edn. (W. H. Freeman and Co: New York)

Stephens SL , Moghaddas JJ (2005) Experimental fuel treatment impacts on forest structure, potential fire behavior and predicted tree mortality in Californian mixed conifer forest. Forest Ecology and Management  215, 21–36.
Crossref | GoogleScholarGoogle Scholar | Zar JH (1999) ‘Biostatistical Analysis.’ 4th edn. (Prentice Hall: New Jersey)