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

Predicting mortality of ponderosa pine regeneration after prescribed fire in the Black Hills, South Dakota, USA

Mike Battaglia A B C , Frederick W. Smith A and Wayne D. Shepperd B
+ Author Affiliations
- Author Affiliations

A Department of Forest, Rangeland, and Watershed Stewardship, Colorado State University, Fort Collins, CO 80523, USA.

B USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO 80526, USA.

C Corresponding author. Email: mbattaglia@fs.fed.us

International Journal of Wildland Fire 18(2) 176-190 https://doi.org/10.1071/WF07163
Submitted: 10 November 2007  Accepted: 21 May 2008   Published: 2 April 2009

Abstract

Reduction of crown fire hazard in Pinus ponderosa forests in the Black Hills, SD, often focuses on the removal of overstorey trees to reduce crown bulk density. Dense ponderosa pine regeneration establishes several years after treatment and eventually increases crown fire risk if allowed to grow. Using prescribed fire to control this regeneration is hampered by the limited knowledge of fire-related mortality threshold values for seedlings (<1.4 m tall) and saplings (0.25 to 10 cm diameter at breast height). The present study was initiated to assess fire-related mortality of ponderosa pine seedlings and saplings on prescribed burns across the Black Hills. We established plots in several burn units after the first post-fire growing season to measure crown volume scorch, crown volume consumption, basal scorch, and ground char for ponderosa pine seedlings and saplings. Logistic regression was used to model the probability of mortality based on tree size, flame length, and direct fire effects. Tree size, flame length, crown damage, ground char, and basal char severity were all important factors in the prediction of mortality. Observed mortality was >70% for seedlings but was only 18 to 46% for sapling-sized trees. The differences in mortality thresholds for ponderosa pine seedlings and saplings highlight their susceptibility to different damage pathways and give managers several options when designing burn prescriptions.

Additional keywords: basal char, crown damage, fire management, ground char, logistic regression, Pinus ponderosa, saplings, seedlings.


Acknowledgements

The present research was supported by Joint Venture Agreement no. 03-JV-11221616–232 with the US Forest Service Rocky Mountain Research Station, National Fire Plan project 01.RMS.C.4, and by McIntire-Stennis funding to the Colorado State University Department of Forest, Rangeland, and Watershed Stewardship. The authors would like to thank Gale Gire, Jay Kurth, Gwen Lipp, and Terry Tompkins from the Mystic Ranger District of the Black Hills National Forest and Andy Thorstenson and Cody Wienk from Wind Cave National Park for their help in locating prescribed burns to sample. The authors also thank Lance Asherin, Jay Aylward, Mike Peterkin, Charity Weaver, Andy Whelan, and Vicky Williams for their assistance in field data collection and entry. We also thank Rudy King for statistical consultations and Tara Keyser for valuable suggestions and recommendations during model building. The comments of two anonymous reviewers and Sharon Hood greatly improved the present manuscript.


References


Anderson HE (1982) Aids to determining fuel models for estimating fire behavior. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-122. (Ogden, UT)

Andrews PL, Bevins CD, Seli RC (2003) BehavePlus fire modeling system, version 2.0: user’s guide. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-106WWW. (Ogden, UT)

Battaglia MA (2007) Maintaining fuel treatments with prescribed fire in ponderosa pine (Pinus ponderosa) forests of the Black Hills, South Dakota. PhD dissertation, Colorado State University, Fort Collins, CO.

Battaglia MA, Smith FW , Shepperd WD (2008) Can prescribed fire be used to maintain fuel treatment effectiveness over time in Black Hills ponderosa pine forests? Forest Ecology and Management  256, 2029–2038.
Crossref | GoogleScholarGoogle Scholar | Brown PM (2003) Fire, climate, and forest structure in Black Hills ponderosa pine forests. PhD dissertation, Colorado State University, Fort Collins, CO.

Brown PM , Cook B (2006) Early settlement forest structure in Black Hills ponderosa pine forests. Forest Ecology and Management  223, 284–290.
Crossref | GoogleScholarGoogle Scholar | DeBlander LT (2002) Forest resources of the Black Hills National Forest. USDA Forest Service, Rocky Mountain Research Station. (Ogden, UT)

Driscoll DG, Hamade GR, Kenner SJ (2000) Summary of precipitation data for the Black Hills area of South Dakota, water years 1931–1998. US Geological Survey Open-File Report 00–329. (Rapid City, SD)

Dumm G (2003) Fire effects on fine roots and ectomycorrhizae of ponderosa pine and Douglas-fir following a prescribed burn in a central Idaho forest. MSc thesis, University of Idaho, Moscow, ID.

Fajardo A, Graham JM, Goodburn JM , Fiedler CE (2007) Ten-year responses of ponderosa pine growth, vigor, and recruitment to restoration treatments in the Bitterroot Moutains, Montana, USA. Forest Ecology and Management  243, 50–60.
Crossref | GoogleScholarGoogle Scholar | Hosmer D, Lemeshow S (2000) ‘Applied Logistic Regression.’ (Wiley: New York)

Keyser TL, Smith FW, Lentile LB , Shepperd WD (2006) Modeling post-fire mortality of ponderosa pine following a mixed-severity wildfire in the Black Hills: the role of tree morphology and direct fire effects. Forest Science  52, 530–539.
Lynch DW (1959) Effects of wildfire on mortality and growth of young ponderosa pine trees. USDA Forest Service Research Note, INT-66. (Ogden, UT)

Morris WG , Mowat EL (1958) Some effects of thinning a ponderosa pine thicket with a prescribed fire. Journal of Forestry  56, 203–209.
Oliver WW, Ryker RA (1990) Pinus ponderosa Dougl. ex Laws. Ponderosa pine. In ‘Silvics of North America’, Agriculture Handbook 654. (Eds RM Burns, BH Honkola) pp. 173–180. (USDA Forest Service: Washington, DC)

Peterson DL (1985) Crown scorch volume and scorch height: estimates of post-fire tree condition. Canadian Journal of Forest Research  15, 596–598.
Reinhardt E, Crookston N (2003) The Fire and Fuels Extension to the Forest Vegetation Simulator. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-116. (Ogden, UT)

Reinhardt ED, Keane RE, Brown JK (1997) First Order Fire Effects Model: FOFEM 4.0. User’s guide. USDA Forest Service, Intermountain Research Station, General Technical Report INT-GTR-344. (Ogden, UT)

Ryan KC (1982) Techniques for assessing fire damage to trees. In ‘Proceedings of the Symposium: Fire – its Field Effects’, 19–21 October 1982, Jackson, WY. (Ed. JE Lotan) pp. 2–10. (Intermountain Fire Council: Missoula, MT)

Ryan KC, Noste NV (1985) Evaluating prescribed fires. In ‘Proceedings of the Symposium and Workshop on Wilderness Fire’, 15–18 November 1983, Missoula, MT. (Tech. Coords JE Lotan, BM Kilgore, WC Fischer, RW Mutch) USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-82. (Ogden, UT)

Ryan KC , Reinhardt ED (1988) Predicting post-fire mortality of seven western conifers. Canadian Journal of Forest Research  18, 1291–1297.
Crossref | GoogleScholarGoogle Scholar | SAS Institute (2001) ‘SAS/STAT Software, Version 9.1 of the SAS System for Windows 2000.’ (SAS Institute Inc.: Cary, NC)

Saveland JM , Neuenschwander LF (1990) A signal detection framework to evaluate models of tree mortality following fire damage. Forest Science  36, 66–76.
Shepperd WD, Battaglia MA (2002) Ecology, silviculture, and management of Black Hills ponderosa pine. USDA Forest Service, Rocky Mountain Research Station, General Technical Report, RMRS-GTR-97. (Fort Collins, CO)

Sieg CH, 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.
van Wagtendonk JW (1983) Prescribed fire effects on forest understory mortality. In ‘Seventh Conference on Forest Fire and Meteorology’, 25–28 April 1983, Fort Collins, CO. pp. 136–138. (American Meteorological Society: Boston, MA)

Waldrop TA , Lloyd FT (1988) Precommercial thinning a sapling-sized loblolly pine stand with fire. Southern Journal of Applied Forestry  12, 203–207.
Wagener WW (1961) Guidelines for estimating the survival of fire-damaged trees in California. USDA Forest Service, Pacific Southwest Forest and Range Experiment Station, Miscellaneous Paper 60. (Berkeley, CA)

Wienk CL, Sieg CH , McPherson G (2004) Evaluating the role of cutting treatments, fire and soil seed banks in an experimental framework in ponderosa pine forests of the Black Hills, South Dakota. Forest Ecology and Management  192, 375–393.
Crossref | GoogleScholarGoogle Scholar |

Wyant JG, Omi PN , Laven RD (1986) Fire-induced tree mortality in a Colorado ponderosa pine/Douglas-fir stand. Forest Science  32, 49–59.


Wooldridge DD , Weaver H (1965) Some effects of thinning a ponderosa pine thicket with a prescribed fire, II. Journal of Forestry  63, 92–95.