Simulated Fire Behavior and Fine-Scale Forest Structure Following Conifer Removal in Aspen-Conifer Forests in the Lake Tahoe Basin, USA
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Sites and Data Collection
2.2. Simulated Fire Behavior and Effects on Conifers
2.3. Effects of Conifer Removal and Fire on Stand Structure
3. Results
General Effects of Cutting and Fire
4. Discussion
4.1. Limitations
4.2. Future Directions
Author Contributions
Funding
Conflicts of Interest
References
- Di Orio, A.P.; Callas, R.; Schaefer, R.J. Forty-eight year decline and fragmentation of aspen (Populus tremuloides) in the South Warner Mountains of California. For. Ecol. Manag. 2005, 206, 307–313. [Google Scholar] [CrossRef]
- Keyser, T.L.; Smith, F.W.; Shepperd, W.D. Trembling aspen response to a mixed-severity wildfire in the Black Hills, South Dakota, USA. Can. J. For. Res. 2005, 35, 2679–2684. [Google Scholar] [CrossRef]
- Shinneman, D.J.; Baker, W.L.; Rogers, P.C.; Kulakowski, D. Fire regimes of quaking aspen in the Mountain West. For. Ecol. Manag. 2013, 299, 22–34. [Google Scholar] [CrossRef]
- St. Clair, S.B.; Cavard, X.; Bergeron, Y. The role of facilitation and competition in the development and resilience of aspen forests. For. Ecol. Manag. 2013, 299, 91–99. [Google Scholar] [CrossRef]
- Hessburg, P.F.; Spies, T.A.; Perry, D.A.; Skinner, C.N.; Taylor, A.H.; Brown, P.M.; Stephens, S.L.; Larson, A.J.; Churchill, D.J.; Povak, N.A.; et al. Tamm Review: Management of mixed-severity fire regime forests in Oregon, Washington, and Northern California. For. Ecol. Manag. 2016, 366, 221–250. [Google Scholar] [CrossRef] [Green Version]
- Larson, A.J.; Churchill, D. Tree spatial patterns in fire-frequent forests of western North America, including mechanisms of pattern formation and implications for designing fuel reduction and restoration treatments. For. Ecol. Manag. 2012, 267, 74–92. [Google Scholar] [CrossRef]
- Shepperd, W.D.; Rogers, P.C.; Bartos, D.L. Ecology, Biodiversity, Management, and Restoration of Aspen in the Sierra Nevada; Gen. Tech. Rep. RMRS-GTR-178; United States Department of Agriculture: Fort Collins, CO, USA, 2006; p. 132. [CrossRef]
- Bartos, D.L. Landscape dynamics of aspen and conifer forests. In Proceedings of the Sustaining Aspen in Western Landscapes Symposium Proceedings, USDA Forest-Service Proceedings RMRS-P-18, Grand Junction, CO, USA, 13–15 June 2000; Volume 13, p. 15. [Google Scholar]
- Berrill, J.; Dagley, C.M.; Coppeto, S.A. Predicting treatment longevity after successive conifer removals in Sierra Nevada aspen restoration. Ecol. Restor. 2016, 34, 236–244. [Google Scholar] [CrossRef]
- Krasnow, K.D.; Stephens, S.L. Evolving paradigms of aspen ecology and management: Impacts of stand condition and fire severity on vegetation dynamics. Ecosphere 2015, 6, 1–16. [Google Scholar] [CrossRef]
- DeRose, R.J.; Leffler, A.J. Simulation of quaking aspen potential fire behavior in Northern Utah, USA. Forests 2014, 5, 3241–3256. [Google Scholar] [CrossRef] [Green Version]
- Alexander, M.E.; Sando, R.W. Fire behavior and effects in aspen-northern hardwood stands. In Proceedings of the 10th Conference on Fire and Forest Meteorology, Spokane, WA, USA, 22–24 April 1980; MacIver, D.C., Auld, H., Whitewood, R., Eds.; Canadian Forest Service and Environment Canada: Ottawa, QC, Canada, 1989. [Google Scholar]
- Berrill, J.P.; Dagley, C.M. Regeneration and recruitment correlate with stand density and composition in long-unburned aspen stands undergoing succession to conifer in the Sierra Nevada, USA. For. Res. 2014, 3. [Google Scholar] [CrossRef]
- Berrill, J.; Dagley, C.M.; Coppeto, S.A.; Gross, S.E. Curtailing succession: Removing conifers enhances understory light and growth of young aspen in mixed stands around Lake Tahoe, California and Nevada, USA. For. Ecol. Manag. 2017, 400, 511–522. [Google Scholar] [CrossRef]
- Ziegler, J.P.; Hoffman, C.M.; Fornwalt, P.J.; Sieg, C.H.; Battaglia, M.A.; Chambers, M.E.; Iniguez, J.M. Tree regeneration spatial patterns in ponderosa pine forests following stand-replacing fire: Influence of topography and neighbors. Forests 2017, 8, 391. [Google Scholar] [CrossRef] [Green Version]
- Jones, B.E.; Rickman, T.H.; Vazquez, A.; Sado, Y.; Tate, K.W. Removal of encroaching conifers to regenerate degraded aspen stands in the Sierra Nevada. Restor. Ecol. 2005, 13, 373–379. [Google Scholar] [CrossRef]
- Bartos, D.; Campbell, R. Decline of quaking aspen in the Interior West—Examples from Utah. Rangelands 1998, 20, 17–24. [Google Scholar]
- Berrill, J.P.; Dagley, C.M. Geographic patterns and stand variables influencing growth and vigor of Populus tremuloides in the Sierra Nevada (USA). ISRN For. 2012, 2012, 1–9. [Google Scholar] [CrossRef] [Green Version]
- Pierce, A.D.; Taylor, A.H. Competition and regeneration in quaking aspen—white fir (Populus tremuloides—Abies concolor) forests in the Northern Sierra. J. Veg. Sci. 2010, 21, 507–519. [Google Scholar] [CrossRef]
- Hymanson, Z.P.; Collopy, M.W. An Integrated Science Plan for the Lake Tahoe Basin: Conceptual Framework and Research Strategies; General Technical Reports PSW-GTR-226; U.S. Department of Agriculture: Albany, CA, USA, 2010.
- WRCC Western Regional Climate Center. Available online: https://wrcc.dri.edu/ (accessed on 1 July 2020).
- NRCS Soil Survey of the Tahoe Basin Area, California and Nevada. Available online: https://www.nrcs.usda.gov/Internet/FSE_MANUSCRIPTS/california/CA693/0/Tahoe_CA.pdf (accessed on 1 July 2020).
- Mell, W.E.; Maranghides, A.; McDermott, R.; Manzello, S.L. Numerical simulation and experiments of burning Douglas-fir trees. Combust. Flame 2009, 156, 2023–2041. [Google Scholar] [CrossRef]
- McGrattan, K.; Hostikka, S.; Floyd, J.; Mcdermott, R.; Weinschenk, C.; Overholt, K. Sixth Edition Fire Dynamics Simulator: User’s Guide; NIST Special Publication 1019; National Institute of Standards and Technology: Washington, DC, USA, 2010. [CrossRef]
- Hoffman, C.; Sieg, C.; Linn, R.; Mell, W.; Parsons, R.; Ziegler, J.; Hiers, J. Advancing the science of wildland fire dynamics: Using process-based models. Fire 2018, 1, 32. [Google Scholar] [CrossRef] [Green Version]
- Castle, D.; Mell, W.E.; Miller, F.J. Examination of the Wildland-urban interface Fire Dynamics Simulator in modeling of laboratory-scale surface-to-crown fire transition. In Proceedings of the 8th US National Combustion Meeting, Park City, UT, USA, 19–22 May 2013; Volume 4, pp. 3710–3722. [Google Scholar]
- Hoffman, C.M.M.; Canfield, J.; Linn, R.R.R.; Mell, W.; Sieg, C.H.H.; Pimont, F.; Ziegler, J. Evaluating crown fire rate of spread predictions from physics-based models. Fire Technol. 2016, 52. [Google Scholar] [CrossRef] [Green Version]
- Mueller, E.; Mell, W.; Simeoni, A. Large eddy simulation of forest canopy flow for wildland fire modeling. Can. J. For. Res. 2014, 44, 1534–1544. [Google Scholar] [CrossRef]
- Mueller, E.; Skowronski, N.; Clark, K.; Kremens, R.; Gallagher, M.; Thomas, J.; El Houssami, M.; Filkov, A.; Butler, B.; Hom, J.; et al. Initial results from a field experiment to support the assessment of fuel treatment effectiveness in reducing wildfire intensity and spread rate. In Proceedings of the Large Wildland Fires Conference, General Technical Reports RMRS-P-73. USDA Forest Service Rocky Mountain Research Station, Fort Collins, CO, USA, 19–23 May 2014; pp. 305–308. [Google Scholar]
- Sánchez-Monroy, X.; Mell, W.; Torres-Arenas, J.; Butler, B.W. Fire spread upslope: Numerical simulation of laboratory experiments. Fire Saf. J. 2019, 108, 102844. [Google Scholar] [CrossRef]
- Terrei, L.; Lamorlette, A.; Ganteaume, A. Modelling the fire propagation from the fuel bed to the lower canopy of ornamental species used in wildland-urban interfaces. Int. J. Wildl. Fire 2019, 28, 113–126. [Google Scholar] [CrossRef]
- Morandini, F.; Santoni, P.A.; Tramoni, J.B.; Mell, W.E. Experimental investigation of flammability and numerical study of combustion of shrub of rockrose under severe drought conditions. Fire Saf. J. 2019, 108, 102836. [Google Scholar] [CrossRef]
- Mell, W.; Jenkins, M.A.; Gould, J.; Cheney, P. A physics-based approach to modelling grassland fires. Int. J. Wildl. Fire 2007, 16, 1–22. [Google Scholar] [CrossRef]
- McGrattan, K.; Hostikka, S.; Mcdermott, R.; Floyd, J.; Weinschenk, C.; Overholt, K.; Hostikka, S.; Floyd, J.; Mcdermott, R.; Floyd, J.; et al. Fire Dynamics Simulator Technical Reference Guide: Validation; Nist Special Publication 1018-6; National Institute of Standards and Technology: Washington, DC, USA, 2010; Volume 3.
- Ziegler, J.P.; Hoffman, C.; Battaglia, M.; Mell, W. Spatially explicit measurements of forest structure and fire behavior following restoration treatments in dry forests. For. Ecol. Manag. 2017, 386, 1–12. [Google Scholar] [CrossRef] [Green Version]
- Gill, S.J.; Biging, G.S.; Murphy, E.C. Modeling conifer tree crown radius and estimating canopy cover. For. Ecol. Manag. 2000, 126, 405–416. [Google Scholar] [CrossRef] [Green Version]
- Bechtold, W.A. Largest-crown-width prediction models for 53 species in the Western United States. West. J. Appl. For. 2004, 19, 245–251. [Google Scholar] [CrossRef]
- Baddeley, A.; Rubak, E.; Turner, R. Spatial Point Patterns: Methodology and Applications with R.; Chapman and Hall/CRC: Boca Raton, FL, USA, 2015. [Google Scholar] [CrossRef] [Green Version]
- Ottmar, R.D.; Safford, H. FCCS Fuelbeds for the Lake Tahoe Basin Management Unit: Final Report P018; USDA Forest Service Pacific Northwest Research Station: Incline Village, NV, USA, 2011.
- Hood, S.M.; Varner, J.M.; Van Mantgem, P.; Cansler, C.A. Fire and tree death: Understanding and improving modeling of fire-induced tree mortality. Environ. Res. Lett. 2018, 13, 113004. [Google Scholar] [CrossRef]
- Fowler, J.F.; Sieg, C.H.; McMillin, J.; Allen, K.K.; Negrón, J.F.; Wadleigh, L.L.; Anhold, J.A.; Gibson, K.E. Development of post-fire crown damage mortality thresholds in ponderosa pine. Int. J. Wildl. Fire 2010, 19, 583–588. [Google Scholar] [CrossRef] [Green Version]
- Sieg, C.H.; McMillin, J.D.; Fowler, J.F.; Allen, K.K.; Negron, J.F.; Wadleigh, L.L.; Anhold, J.A.; Gibson, K.E. Best predictors for postfire mortality of ponderosa pine trees in the Intermountain West. For. Sci. 2006, 52, 718–728. [Google Scholar] [CrossRef]
- Pinheiro, J.; Bates, D.; DebRoy, S.; Sarkar, D. R Core Team. nmle: Linear and Nonlinear Mixed Effects Models. 2020. Available online: https://CRAN.R-project.org/package=nlme (accessed on on 1 July 2020).
- Pebesma, E.J.; Bivand, R.S. Classes and methods for spatial data in R. R News 2005, 5, 9–13. [Google Scholar]
- Wickham, H. ggplot2: Elegant Graphics for Data Analysis; Springer: New York, NY, USA, 2016. [Google Scholar] [CrossRef] [Green Version]
- Wickham, H.; Averick, M.; Bryan, J.; Chang, W.; McGowan, L.D.; François, R.; Grolemund, G.; Hayes, A.; Henry, L.; Hester, J.; et al. Welcome to the tidyverse. J. Open Source 2019, 4. [Google Scholar] [CrossRef]
- Krasnow, K.D.; Halford, A.S.; Stephens, S.L. Aspen restoration in the eastern Sierra Nevada: Effectiveness of prescribed fire and conifer removal. Fire Ecol. 2012, 8, 104–118. [Google Scholar] [CrossRef]
- Shepperd, W.D.; Bartos, D.L.; Mata, S.A. Above- and below-ground effects of aspen clonal regeneration and succession to conifers. Can. J. For. Res. 2001, 31, 739–745. [Google Scholar] [CrossRef]
- Boisramé, G.F.S.; Thompson, S.E.; Kelly, M.; Cavalli, J.; Wilkin, K.M.; Stephens, S.L. Vegetation change during 40 years of repeated managed wildfires in the Sierra Nevada, California. For. Ecol. Manag. 2017, 402, 241–252. [Google Scholar] [CrossRef] [Green Version]
- Reinhardt, E.D.; Keane, R.E.; Calkin, D.E.; Cohen, J.D. Objectives and considerations for wildland fuel treatment in forested ecosystems of the interior western United States. For. Ecol. Manag. 2008, 256, 1997–2006. [Google Scholar] [CrossRef]
- Agee, J.K.; Skinner, C.N. Basic principles of forest fuel reduction treatments. For. Ecol. Manag. 2005, 211, 83–96. [Google Scholar] [CrossRef]
- Brown, J.K.; Simmerman, D.G. Appraising Fuels and Flammability in Western Aspen: A Prescribed Fire Guide; Technical Report INT-205; USDA Forest Service Intermountain Reserch Station, U.S. Department of Agriculture: Ogden, UT, USA, 1986; p. 48.
- Stephens, S.L.; Collins, B.M.; Roller, G. Fuel treatment longevity in a Sierra Nevada mixed conifer forest. For. Ecol. Manag. 2012, 285, 204–212. [Google Scholar] [CrossRef]
- O’Brien, J.J.; Hiers, J.K.; Varner, J.M.; Hoffman, C.M.; Dickinson, M.B.; Michaletz, S.T.; Loudermilk, E.L.; Butler, B.W. Advances in mechanistic approaches to quantifying biophysical fire effects. Curr. For. Rep. 2018, 4, 161–177. [Google Scholar] [CrossRef]
- Parsons, R.; Linn, R.; Pimont, F.; Hoffman, C.; Sauer, J.; Winterkamp, J.; Sieg, C.; Jolly, W. Numerical investigation of aggregated fuel spatial pattern impacts on fire behavior. Land 2017, 6, 43. [Google Scholar] [CrossRef]
- Alexander, M.E.; Thomas, D.A. Wildland fire behavior case studies and analyses: Other examples, methods, reporting stands, and some practical advice. Fire Manag. Today 2003, 63, 4–12. [Google Scholar]
Fuel Type/Parameter 1 | Value |
---|---|
Crown | |
Foliar moisture content (%) | 100 |
Surface area/Volume (m−1) | 4000 |
Drag coefficient | 0.25 |
Bulk density (kg m−3)—Aspen | 0.19 |
Bulk density (kg m−3)—Lodgepole pine | 0.50 |
Bulk density (kg m−3)—Red fir | 1.20 |
Bulk density (kg m−3)—White fir | 0.70 |
Surface—All | |
Drag coefficient | 0.15 |
Moisture content (%) | 6.0 |
Surface—Aspen | |
Surface area/Volume (m−1) | 5350 |
Load (kg m−2) | 0.9 |
Height (m) | 0.07 |
Surface—Fir | |
Surface area/Volume (m−1) | 6197 |
Load (kg m−2) | 2.6 |
Height (m) | 0.16 |
Surface—Pine | |
Surface area/Volume (m−1) | 8149 |
Load (kg m−2) | 1.4 |
Height (m) | 0.10 |
Site/Cutting Scenario | QMD (cm) 1 | Canopy Height (m) 2 | Basal Area | Tree Density | Canopy Cover (%) | Local Stocking 3 | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
All | Conifer | All | Conifer | All (m2/ha) | % Conifer | All (ha −1) | % Conifer | All | Conifer | Conifer Presence (%) | Conifer SDI | |
BP2 | ||||||||||||
Pre-cutting | 34.6 | 36.9 | 25.4 | 23.2 | 52 | 55 | 555 | 48 | 64 | 40 | 89 | 129 |
Light | 37.5 | 50 | 26.2 | 27.5 | 42.4 | 45 | 385 | 25 | 60 | 30 | 88 | 76 |
Medium | 35.8 | 71.9 | 26.4 | 31.4 | 30.7 | 24 | 306 | 6 | 53 | 18 | 74 | 26 |
Heavy | 34 | 89.3 | 26.2 | 31.5 | 26.6 | 12 | 293 | 2 | 51 | 15 | 54 | 13 |
CV05 | ||||||||||||
Pre-cutting | 43.8 | 41.6 | 29.7 | 29.4 | 51.3 | 51 | 341 | 57 | 65 | 35 | 100 | 134 |
Light | 48.8 | 52.2 | 30.3 | 30.7 | 45.8 | 45 | 245 | 40 | 63 | 29 | 99 | 75 |
Medium | 50.3 | 66.6 | 30.4 | 32.4 | 35.2 | 29 | 177 | 16 | 57 | 20 | 93 | 37 |
Heavy | 48 | 81.2 | 30.3 | 32.5 | 27.7 | 9 | 153 | 3 | 53 | 14 | 55 | 18 |
Obs. Post | 46.4 | 46.2 | 29.8 | 29.9 | 47 | 47 | 278 | 48 | 63 | 31 | 99 | 83 |
WA38 | ||||||||||||
Pre-cutting | 40.5 | 45.8 | 27.9 | 29.7 | 52.7 | 85 | 410 | 67 | 56 | 45 | 93 | 96 |
Light | 45.6 | 58.4 | 29.6 | 32.7 | 45 | 83 | 276 | 50 | 51 | 38 | 91 | 73 |
Medium | 45.9 | 78 | 30.9 | 36.4 | 30.7 | 75 | 185 | 26 | 42 | 27 | 89 | 49 |
Heavy | 41.5 | 96.8 | 29.7 | 37.8 | 21 | 63 | 155 | 12 | 36 | 20 | 50 | 37 |
Obs. Post | 45.7 | 58.3 | 29.8 | 32.9 | 43.1 | 83 | 263 | 51 | 50 | 38 | 88 | 73 |
Site/Cutting | Surface Fuelbed Composition (%) | Average Fuel Load (kg/m2) | ||
---|---|---|---|---|
Aspen | Fir | Pine | ||
BP2 | ||||
Pre-cutting | 49 | 41 | 11 | 1.65 |
Light | 69 | 18 | 12 | 1.27 |
Medium | 86 | 6 | 8 | 1.04 |
Heavy | 90 | 0 | 10 | 0.95 |
CV05 | ||||
Pre-cutting | 45 | 43 | 12 | 1.69 |
Light | 58 | 28 | 14 | 1.44 |
Medium | 77 | 10 | 13 | 1.13 |
Heavy | 86 | 6 | 7 | 1.04 |
Obs. Post | 52 | 33 | 15 | 1.54 |
WA38 | ||||
Pre-cutting | 32 | 56 | 12 | 1.92 |
Light | 43 | 40 | 16 | 1.67 |
Medium | 62 | 22 | 16 | 1.36 |
Heavy | 71 | 13 | 16 | 1.20 |
Obs. Post | 42 | 40 | 18 | 1.67 |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Ziegler, J.P.; Hoffman, C.M.; Collins, B.M.; Long, J.W.; Dagley, C.M.; Mell, W. Simulated Fire Behavior and Fine-Scale Forest Structure Following Conifer Removal in Aspen-Conifer Forests in the Lake Tahoe Basin, USA. Fire 2020, 3, 51. https://doi.org/10.3390/fire3030051
Ziegler JP, Hoffman CM, Collins BM, Long JW, Dagley CM, Mell W. Simulated Fire Behavior and Fine-Scale Forest Structure Following Conifer Removal in Aspen-Conifer Forests in the Lake Tahoe Basin, USA. Fire. 2020; 3(3):51. https://doi.org/10.3390/fire3030051
Chicago/Turabian StyleZiegler, Justin P., Chad M. Hoffman, Brandon M. Collins, Jonathan W. Long, Christa M. Dagley, and William Mell. 2020. "Simulated Fire Behavior and Fine-Scale Forest Structure Following Conifer Removal in Aspen-Conifer Forests in the Lake Tahoe Basin, USA" Fire 3, no. 3: 51. https://doi.org/10.3390/fire3030051