Fuel types misrepresent forest structure and composition in interior British Columbia: a way forward

Springer Science and Business Media LLC - Tập 20 - Trang 1-21 - 2024
Jennifer N. Baron1, Paul F. Hessburg2,3, Marc-André Parisien4, Gregory A. Greene1, Sarah. E. Gergel1, Lori D. Daniels1
1Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, Canada
2USDA-FS, Pacific Northwest Research Station, Wenatchee, USA
3University of Washington, School of Forest and Environmental Sciences, Seattle, USA
4Canadian Forest Service, Northern Forestry Center, Edmonton, Canada

Tóm tắt

A clear understanding of the connectivity, structure, and composition of wildland fuels is essential for effective wildfire management. However, fuel typing and mapping are challenging owing to a broad diversity of fuel conditions and their spatial and temporal heterogeneity. In Canada, fuel types and potential fire behavior are characterized using the Fire Behavior Prediction (FBP) System, which uses an association approach to categorize vegetation into 16 fuel types based on stand structure and composition. In British Columbia (BC), provincial and national FBP System fuel type maps are derived from remotely sensed forest inventory data and are widely used for wildfire operations, fuel management, and scientific research. Despite their widespread usage, the accuracy and applicability of these fuel type maps have not been formally assessed. To address this knowledge gap, we quantified the agreement between on-site assessments and provincial and national fuel type maps in interior BC. We consistently found poor correspondence between field assessment data and both provincial and national fuel types. Mismatches were particularly frequent for (i) dry interior ecosystems, (ii) mixedwood and deciduous fuel types, and (iii) post-harvesting conditions. For 58% of field plots, there was no suitable match to the extant fuel structure and composition. Mismatches were driven by the accuracy and availability of forest inventory data and low applicability of the Canadian FBP System to interior BC fuels. The fuel typing mismatches we identified can limit scientific research, but also challenge wildfire operations and fuel management decisions. Improving fuel typing accuracy will require a significant effort in fuel inventory data and system upgrades to adequately represent the diversity of extant fuels. To more effectively link conditions to expected fire behavior outcomes, we recommend a fuel classification approach and emphasis on observed fuels and measured fire behavior data for the systems we seek to represent.

Tài liệu tham khảo

Alexander, M.E. 2010. Surface fire spread potential in trembling aspen during summer in the Boreal Forest Region of Canada. The Forestry Chronicle 86 (2): 200–212. https://doi.org/10.5558/tfc86200-2. Alexander, M.E., and M.G. Cruz. 2006. Evaluating a model for predicting active crown fire rate of spread using wildfire observations. Canadian Journal of Forest Research 36 (11): 3015–3028. https://doi.org/10.1139/x06-174. Alexander, M.E., and M.G. Cruz. 2011. Interdependencies between flame length and fireline intensity in predicting crown fire initiation and crown scorch height. International Journal of Wildland Fire 21 (2): 95–113. https://doi.org/10.1071/WF11001. Andersen, H.-E., R.J. McGaughey, and S.E. Reutebuch. 2005. Estimating forest canopy fuel parameters using LIDAR data. Remote Sensing of Environment 94 (4): 441–449. https://doi.org/10.1016/j.rse.2004.10.013. Anderson HE (1982) Aids to determining fuel models for estimating fire behavior. General Technical Report INT-122. U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Ogden, UT. https://www.fs.usda.gov/treesearch/pubs/6447. Arroyo, L.A., C. Pascual, and J.A. Manzanera. 2008. Fire models and methods to map fuel types: The role of remote sensing. Forest Ecology and Management 256 (6): 1239–1252. https://doi.org/10.1016/j.foreco.2008.06.048. Baker FS (1925) Aspen in the central Rocky Mountain region. Department Bulletin No. 1291. U.S. Department of Agriculture, Washington, DC. https://www.biodiversitylibrary.org/bibliography/108077. Baron JN, Gergel SE, Hessburg PF, Daniels LD (2022) A century of transformation: Fire regime transitions from 1919 to 2019 in southeastern British Columbia, Canada. Landsc Ecol. https://doi.org/10.1007/s10980-022-01506-9. BC Wildfire Service (2022) BC Wildfire Fire Fuel Types - Public. In: DataBC. https://catalogue.data.gov.bc.ca/dataset/bc-wildfire-fire-fuel-types-public. Accessed 21 Jul 2021. BC Wildfire Service (2023a) Fire Perimeters - Historical. In: DataBC. https://catalogue.data.gov.bc.ca/dataset/fire-perimeters-historical. Accessed 2 May 2023. BC Wildfire Service (2023b) BC Wildfire WUI Human Interface Buffer. In: DataBC. https://catalogue.data.gov.bc.ca/dataset/bc-wildfire-wui-human-interface-buffer. Accessed 2 May 2023. Beaudoin, A., P.Y. Bernier, L. Guindon, P. Villemaire, X.J. Guo, G. Stinson, T. Bergeron, S. Magnussen, and R.J. Hall. 2014. Mapping attributes of Canada’s forests at moderate resolution through kNN and MODIS imagery. Canadian Journal of Forest Research 44 (5): 521–532. https://doi.org/10.1139/cjfr-2013-0401. Bourgeois W, Binkley C, LeMay V, Moss I, Reynolds M (2018) British Columbia Forest Inventory Review Panel Technical Background Report. Prepared for the Office of the Chief Forester Division, British Columbia Ministry of Forests, Lands, Natural Resource Operations and Rural Development. https://www2.gov.bc.ca/assets/gov/farming-natural-resources-and-industry/forestry/stewardship/forest-analysis-inventory/brp_technical_document_final.pdf. Bradley AF, Noste NV, Fischer WC (1992) Fire ecology of forests and woodlands in Utah. General Technical Report INT-287. U.S. Department of Agriculture, Forest Service, Intermountain Research Station, Ogden, UT. https://www.fs.usda.gov/treesearch/pubs/25259. Brown JK, Bevins CD (1986) Surface fuel loadings and predicted fire behavior for vegetation types in the northern Rocky Mountains. Research Note INT-358. USDA Forest Service, Intermountain Research Station. https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1112&context=barkbeetles&httpsredir=1&referer. Canadian Forest Service Fire Danger Group (2021) An overview of the next generation of the Canadian Forest Fire Danger Rating System. General Technical Report INT-287. Natural Resources Canada, Canadian Forest Service, Great Lakes Forestry Centre. https://cfs.nrcan.gc.ca/publications?id=40474. Carroll, A.L., S.W. Taylor, J. Regniere, and L. Safranyik. 2003. Effect of climate change on range expansion by the mountain pine beetle in British Columbia. In Information Report BC-X-399, 13. Kelowna: Natural Resource Canada, Canadian Forest Service, Pacific Forestry Centre. https://cfs.nrcan.gc.ca/pubwarehouse/pdfs/25051.pdf. Chamberlain, C.P., A.J. Sánchez Meador, and A.E. Thode. 2021. Airborne lidar provides reliable estimates of canopy base height and canopy bulk density in southwestern ponderosa pine forests. Forest Ecology and Management 481: 118695. https://doi.org/10.1016/j.foreco.2020.118695. Chamberlain, C.P., G.R. Cova, C.A. Cansler, M.P. North, M.D. Meyer, S.M.A. Jeronimo, and V.R. Kane. 2023. Consistently heterogeneous structures observed at multiple spatial scales across fire-intact reference sites. Forest Ecology and Management 550: 121478. https://doi.org/10.1016/j.foreco.2023.121478. Coogan, S.C.P., L.D. Daniels, D. Boychuk, P.J. Burton, M.D. Flannigan, S. Gauthier, V. Kafka, J.S. Park, and B.M. Wotton. 2021. Fifty years of wildland fire science in Canada. Canadian Journal of Forest Research 51 (2): 283–302. https://doi.org/10.1139/cjfr-2020-0314. Coogan, S.C.P., O. Aftergood, and M.D. Flannigan. 2022. Human- and lightning-caused wildland fire ignition clusters in British Columbia. Canada. Int J Wildland Fire 31 (11): 1043–1055. https://doi.org/10.1071/WF21177. Crowley, M.A., C.A. Stockdale, J.M. Johnston, M.A. Wulder, T. Liu, J.L. McCarty, J.T. Rieb, J.A. Cardille, and J.C. White. 2023. Towards a whole-system framework for wildfire monitoring using Earth observations. Global Change Biology 29 (6): 1423–1436. https://doi.org/10.1111/gcb.16567. Cruz, M.G., and M.E. Alexander. 2013. Uncertainty associated with model predictions of surface and crown fire rates of spread. Environmental Modelling & Software 47: 16–28. https://doi.org/10.1016/j.envsoft.2013.04.004. Cruz, M.G., M.E. Alexander, and R.H. Wakimoto. 2005. Development and testing of models for predicting crown fire rate of spread in conifer forest stands. Canadian Journal of Forest Research 35 (7): 1626–1639. https://doi.org/10.1139/x05-085. Engelstad, P.S., M. Falkowski, P. Wolter, A. Poznanovic, and P. Johnson. 2019. Estimating Canopy Fuel Attributes from Low-Density LiDAR. Fire 2 (3): 38. https://doi.org/10.3390/fire2030038. Erni, S., L. Johnston, Y. Boulanger, F. Manka, P. Bernier, B. Eddy, A. Christianson, T. Swystun, and S. Gauthier. 2021. Exposure of the Canadian wildland–human interface and population to wildland fire, under current and future climate conditions. Canadian Journal of Forest Research 51 (9): 1357–1367. https://doi.org/10.1139/cjfr-2020-0422. Fernandes, P.M. 2009. Combining forest structure data and fuel modelling to classify fire hazard in Portugal. Annals of Forest Science 66 (4): 415–415. https://doi.org/10.1051/forest/2009013. Forestry Canada Fire Danger Group (1992) Development and structure of the Canadian Forest Fire Behavior Prediction System. Information Report ST-X-3. Forestry Canada, Ottawa, ON. https://cfs.nrcan.gc.ca/publications?id=10068. Gale, M.G., G.J. Cary, A.I.J.M. Van Dijk, and M. Yebra. 2021. Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour. Remote Sensing of Environment 255: 112282. https://doi.org/10.1016/j.rse.2020.112282. Graham RT, Harvey AE, Jain TB, Tonn JR (1999) The effects of thinning and similar stand treatments on fire behavior in Western forests. General Technical Report PNW-GTR-463. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR. https://www.fs.usda.gov/treesearch/pubs/2979. Graham RT, McCaffrey S, Jain TB (2004) Science basis for changing forest structure to modify wildfire behavior and severity. General Technical Report RMRS-GTR-120. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ft. Collins, CO. https://www.fs.usda.gov/treesearch/pubs/6279. Greene GA (2021) Fire resilient ecosystems: Fire exclusion and selective harvesting degrade dry forests in British Columbia. PhD Thesis. University of British Columbia, Vancouver, BC. https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0398455. Greene G (2023) BC_CFFBPS_FuelTyping_Tool. https://github.com/gagreene/BC_CFFBPS_FuelTyping_Tool. Accessed 8 Aug 2023. Hagmann RK, Hessburg PF, Prichard SJ, Povak NA, Brown PM, Fulé PZ, Keane RE, Knapp EE, Lydersen JM, Metlen KL, Reilly MJ, Sánchez Meador AJ, Stephens SL, Stevens JT, Taylor AH, Yocom LL, Battaglia MA, Churchill DJ, Daniels LD, Falk DA, Henson P, Johnston JD, Krawchuk MA, Levine CR, Meigs GW, Merschel AG, North MP, Safford HD, Swetnam TW, Waltz AEM (2021) Evidence for widespread changes in the structure, composition, and fire regimes of western North American forests. Ecol Appl 31(8). https://doi.org/10.1002/eap.2431. Hamann, A., P. Smets, A.D. Yanchuk, and S.N. Aitken. 2005. An ecogeographic framework for in situ conservation of forest trees in British Columbia. Canadian Journal of Forest Research 35 (11): 2553–2561. https://doi.org/10.1139/x05-181. Hanes, C.C., X. Wang, and W.J. de Groot. 2021. Dead and down woody debris fuel loads in Canadian forests. International Journal of Wildland Fire. https://doi.org/10.1071/WF21023. Hart, H., D.D.B. Perrakis, S.W. Taylor, C. Bone, and C. Bozzini. 2021. Georeferencing oblique aerial wildfire photographs: An untapped source of fire behaviour data. Fire 4 (4): 81. https://doi.org/10.3390/fire4040081. Hawkes BC, Goodenough DG, Lawson B, Thomson AJ, Sahle W, Niemann KO, Fuglem P, Beck JA, Bell B, Symington P (1995) Forest fire fuel type mapping using GIS and remote sensing in British Columbia. In: Proceedings: GIS ’95: The next step: Symposium proceedings. March 27–30, 1995. GIS World Inc, Fort Collins, CO, pp 647–656. http://cfs.nrcan.gc.ca/publications?id=4654. Hély, C., Y. Bergeron, and M.D. Flannigan. 2000. Effects of stand composition on fire hazard in mixed-wood Canadian boreal forest. Journal of Vegetation Science 11 (6): 813–824. https://doi.org/10.2307/3236551. Hély, C., M. Flannigan, Y. Bergeron, and D. McRae. 2001. Role of vegetation and weather on fire behavior in the Canadian mixedwood boreal forest using two fire behavior prediction systems. Canadian Journal of Forest Research 31 (3): 430–441. https://doi.org/10.1139/x00-192. Hermosilla, T., A. Bastyr, N.C. Coops, J.C. White, and M.A. Wulder. 2022. Mapping the presence and distribution of tree species in Canada’s forested ecosystems. Remote Sensing of Environment 282: 113276. https://doi.org/10.1016/j.rse.2022.113276. Hessburg, P.F., C.L. Miller, S.A. Parks, N.A. Povak, A.H. Taylor, P.E. Higuera, S.J. Prichard, M.P. North, B.M. Collins, M.D. Hurteau, A.J. Larson, C.D. Allen, S.L. Stephens, H. Rivera-Huerta, C.S. Stevens-Rumann, L.D. Daniels, Z. Gedalof, R.W. Gray, V.R. Kane, D.J. Churchill, R.K. Hagmann, T.A. Spies, C.A. Cansler, R.T. Belote, T.T. Veblen, M.A. Battaglia, C. Hoffman, C.N. Skinner, H.D. Safford, and R.B. Salter. 2019. Climate, environment, and disturbance history govern resilience of western North American Forests. Frontiers in Ecology and Evolution 7: 239. https://doi.org/10.3389/fevo.2019.00239. Hoffman, K.M., A.C. Christianson, R.W. Gray, and L. Daniels. 2022. Western Canada’s new wildfire reality needs a new approach to fire management. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ac7345. Hollingsworth, L.T., L.L. Kurth, B.R. Parresol, R.D. Ottmar, and S.J. Prichard. 2012. A comparison of geospatially modeled fire behavior and fire management utility of three data sources in the southeastern United States. Forest Ecology and Management 273: 43–49. https://doi.org/10.1016/j.foreco.2011.05.020. Hood, S.M., C.W. McHugh, K.C. Ryan, E. Reinhardt, S.L. Smith, S.M. Hood, C.W. McHugh, K.C. Ryan, E. Reinhardt, and S.L. Smith. 2007. Evaluation of a post-fire tree mortality model for western USA conifers. International Journal of Wildland Fire 16 (6): 679–689. https://doi.org/10.1071/WF06122. Hopkins, T., A.J. Larson, and R.T. Belote. 2014. Contrasting effects of wildfire and ecological restoration in old-growth western larch forests. Forest Science 60 (5): 1005–1013. https://doi.org/10.5849/forsci.13-088. Jenkins, M.J., W.G. Page, E.G. Hebertson, and M.E. Alexander. 2012. Fuels and fire behavior dynamics in bark beetle-attacked forests in Western North America and implications for fire management. Forest Ecology and Management 275: 23–34. https://doi.org/10.1016/j.foreco.2012.02.036. Jeronimo, S.M.A., V.R. Kane, D.J. Churchill, R.J. McGaughey, and J.F. Franklin. 2018. Applying LiDAR individual tree detection to management of structurally diverse forest landscapes. Journal of Forestry 116 (4): 336–346. https://doi.org/10.1093/jofore/fvy023. Jolly, W.M. 2007. Sensitivity of a surface fire spread model and associated fire behaviour fuel models to changes in live fuel moisture. International Journal of Wildland Fire 16 (4): 503. https://doi.org/10.1071/WF06077. Jones J, DeByle N (1985) Fire. In: DeByle N, Winokur R (eds) Aspen: Ecology and management in the western United States. USDA Forest Service General Technical Report RM-119, Rocky Mountain Forest and Range Experiment Station, Fort Collins, Colorado, pp 77–81. https://www.fs.usda.gov/research/treesearch/24942. Keane, R.E. 2013. Describing wildland surface fuel loading for fire management: A review of approaches, methods and systems. International Journal of Wildland Fire 22 (1): 51–62. https://doi.org/10.1071/WF11139. Keane, R.E. 2015. Wildland fuel fundamentals and applications. Springer International Publishing. https://doi.org/10.1007/978-3-319-09015-3. Keane, R.E., R. Burgan, and J. van Wagtendonk. 2001. Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modeling. International Journal of Wildland Fire 10 (4): 301. https://doi.org/10.1071/WF01028. Keane RE, Dickinson LJ (2007) The photoload sampling technique: Estimating surface fuel loadings from downward-looking photographs of synthetic fuelbeds. General Technical Report RMRS-GTR-190. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, CO. https://www.fs.usda.gov/treesearch/pubs/26755. Keane RE, Gray K, Bacciu V (2012) Spatial variability of wildland fuel characteristics in northern Rocky Mountain ecosystems. Research Paper RMRS-RP-98. USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO. https://www.fs.usda.gov/research/treesearch/42170. Kreye, J.K., N.W. Brewer, P. Morgan, J.M. Varner, A.M.S. Smith, C.M. Hoffman, and R.D. Ottmar. 2014. Fire behavior in masticated fuels: A review. Forest Ecology and Management 314: 193–207. https://doi.org/10.1016/j.foreco.2013.11.035. Kuhn M (2022) caret: Classification and regression training. R package version 6.0–93. https://CRAN.R-project.org/package=caret. Lawson BD, Stocks BJ, Alexander ME, Van Wagner CE (1985) A system for predicting fire behavior in Canadian forests. Society of American Foresters, Bethesda, Maryland, USA, Detroit, Michigan, USA., pp 6–16. http://cfs.nrcan.gc.ca/publications?id=11538. Lyons-Tinsley, C., and D.L. Peterson. 2012. Surface fuel treatments in young, regenerating stands affect wildfire severity in a mixed conifer forest, eastside Cascade Range, Washington, USA. Forest Ecology and Management 270: 117–125. https://doi.org/10.1016/j.foreco.2011.04.016. MacKillop D (2018) A field guide to ecosystem classification and identification for Southeast British Columbia: The East Kootenay. Land Management Handbook 71. British Columbia, Victoria, BC. https://www.for.gov.bc.ca/hfd/pubs/docs/lmh/LMH71.pdf. MacMillan, R., L. Sun, and S.W. Taylor. 2022. Modeling individual extended attack wildfire suppression expenditures in British Columbia. Forest Science 68 (4): 376–388. https://doi.org/10.1093/forsci/fxac024. Marcoux, H.M., S.E. Gergel, and L.D. Daniels. 2013. Mixed-severity fire regimes: How well are they represented by existing fire-regime classification systems? Canadian Journal of Forest Research 43 (7): 658–668. https://doi.org/10.1139/cjfr-2012-0449. Marcoux, H.M., L.D. Daniels, S.E. Gergel, E. Da Silva, Z. Gedalof, and P.F. Hessburg. 2015. Differentiating mixed- and high-severity fire regimes in mixed-conifer forests of the Canadian Cordillera. Forest Ecology and Management 341: 45–58. https://doi.org/10.1016/j.foreco.2014.12.027. Matasci, G., T. Hermosilla, M.A. Wulder, J.C. White, N.C. Coops, G.W. Hobart, and H.S.J. Zald. 2018. Large-area mapping of Canadian boreal forest cover, height, biomass and other structural attributes using Landsat composites and lidar plots. Remote Sensing of Environment 209: 90–106. https://doi.org/10.1016/j.rse.2017.12.020. Merrill DF, Alexander ME (eds) (1987) Glossary of forest fire management terms., NRCC No. 26516. Canadian Committee on Forest Fire Management, National Research Council of Canada, Ottawa, ON. http://cfs.nrcan.gc.ca/publications?id=35337. Miller, J.D., S.R. Danzer, J.M. Watts, S. Stone, and S.R. Yool. 2003. Cluster analysis of structural stage classes to map wildland fuels in a Madrean ecosystem. Journal of Environmental Management 68 (3): 239–252. https://doi.org/10.1016/S0301-4797(03)00062-8. Ministry of Forests (2019) Provincial Forest Cover Reference: Year VRI 2019. https://www2.gov.bc.ca/assets/gov/farming-natural-resources-and-industry/forestry/stewardship/forest-analysis-inventory/data-management/spatial-ready-data/prov_fc_reference_year_vri2019.png. Ministry of Forests (2022) Forest Inventory - Data Management and Access. In: Government of British Columbia. https://www2.gov.bc.ca/gov/content/industry/forestry/managing-our-forest-resources/forest-inventory/data-management-and-access. Accessed 3 May 2023. Ministry of Forests, Lands and Natural Resource Operations (2019) VRI Relational Data Dictionary Version 5. https://www2.gov.bc.ca/assets/gov/farming-natural-resources-and-industry/forestry/stewardship/forest-analysis-inventory/data-management/standards/vegcomp_poly_rank1_data_dictionaryv5_2019.pdf. Ministry of Forests, Lands and Natural Resource Operations (2016) Vegetation Resources Inventory Photo Interpretation Procedures Version 3.2. Forest Analysis and Inventory Branch. https://www2.gov.bc.ca/assets/gov/farming-natural-resources-and-industry/forestry/stewardship/forest-analysis-inventory/vri/standards-and-procedures/photo-interpretation/vri_photo_interpretation_procedures.pdf. Natural Resources Canada (2019) Canadian Forest FBP Fuel Types (CanFG). Natural Resources Canada, Canadian Forest Service, Northern Forestry Centre. https://cwfis.cfs.nrcan.gc.ca/downloads/fuels/development/Canadian_Forest_FBP_Fuel_Types/Canadian_Forest_FBP_Fuel_Types_Metadata_v20191114.pdf. Nesbit, K.A., L.L. Yocom, A.M. Trudgeon, R.J. DeRose, and P.C. Rogers. 2023. Tamm review: Quaking aspen’s influence on fire occurrence, behavior, and severity. Forest Ecology and Management 531: 120752. https://doi.org/10.1016/j.foreco.2022.120752. North, M.P., J.T. Stevens, D.F. Greene, M. Coppoletta, E.E. Knapp, A.M. Latimer, C.M. Restaino, R.E. Tompkins, K.R. Welch, R.A. York, D.J.N. Young, J.N. Axelson, T.N. Buckley, B.L. Estes, R.N. Hager, J.W. Long, M.D. Meyer, S.M. Ostoja, H.D. Safford, K.L. Shive, C.L. Tubbesing, H. Vice, D. Walsh, C.M. Werner, and P. Wyrsch. 2019. Tamm Review: Reforestation for resilience in dry western U.S. forests. Forest Ecology and Management 432: 209–224. https://doi.org/10.1016/j.foreco.2018.09.007. Parisien, M.-A., G.R. Walker, J.M. Little, B.N. Simpson, X. Wang, and D.D.B. Perrakis. 2013. Considerations for modeling burn probability across landscapes with steep environmental gradients: An example from the Columbia Mountains, Canada. Natural Hazards 66: 439–462. https://doi.org/10.1007/s11069-012-0495-8. Parisien, M.-A., D.A. Dawe, C. Miller, C.A. Stockdale, and O.B. Armitage. 2019. Applications of simulation-based burn probability modelling: A review. International Journal of Wildland Fire 28 (12): 913. https://doi.org/10.1071/WF19069. Perala, D.A. 1974. Prescribed Burning in an Aspen – Mixed Hardwood Forest. Canadian Journal of Forest Research 4 (2): 222–228. https://doi.org/10.1139/x74-033. Perrakis, D.D.B., R.A. Lanoville, S.W. Taylor, and D. Hicks. 2014. Modeling wildfire spread in mountain pine beetle-affected forest stands, British Columbia. Canada. Fire Ecol 10 (2): 10–35. https://doi.org/10.4996/fireecology.1002010. Perrakis, D.D.B., M.G. Cruz, M.E. Alexander, C.C. Hanes, D.K. Thompson, S.W. Taylor, and B.J. Stocks. 2023. Improved logistic models of crown fire probability in Canadian conifer forests. International Journal of Wildland Fire. https://doi.org/10.1071/WF23074. Perrakis DD, Eade G (2015) British Columbia wildfire fuel typing and fuel type layer description. BC Wildfire Service, Ministry of Forests, Lands, and Natural Resource Operations, Victoria, BC. https://www2.gov.bc.ca/assets/gov/farming-natural-resources-and-industry/forestry/wildfire-management/fire-fuel-management/bcws_bc_provincial_fuel_type_layer_overview_2015_report.pdf. Perrakis DDB, Eade G, Hicks D (2018) British Columbia wildfire fuel typing and fuel type layer description. Information Report BC-X-444. Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, Victoria, BC. https://publications.gc.ca/site/eng/9.857674/publication.html. Phelps, N., and J.L. Beverly. 2022. Classification of forest fuels in selected fire-prone ecosystems of Alberta, Canada—implications for crown fire behaviour prediction and fuel management. Annals of Forest Science 79 (1): 40. https://doi.org/10.1186/s13595-022-01151-x. Phelps, N., H. Cameron, A.M. Forbes, T. Schiks, D. Schroeder, and J.L. Beverly. 2022. The Alberta Wildland Fuels Inventory Program (AWFIP): Data description and reference tables. Annals of Forest Science 79 (1): 28. https://doi.org/10.1186/s13595-022-01144-w. Prichard SJ, Sandberg DV, Ottmar RD, Eberhardt E, Andreu A, Eagle P, Swedin Kjell (2013) Fuel Characteristic Classification System version 3.0: Technical documentation. General Technical Report PNW-GTR-887. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR. https://www.fs.usda.gov/treesearch/pubs/45283. Prichard SJ, Andreu AG, Ottmar RD, Eberhardt E (2019) Fuel Characteristic Classification System (FCCS) field sampling and fuelbed development guide. General Technical Report PNW-GTR-972. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR. https://www.fs.usda.gov/treesearch/pubs/58172. Prichard SJ, Hessburg PF, Hagmann RK, Povak NA, Dobrowski SZ, Hurteau MD, Kane VR, Keane RE, Kobziar LN, Kolden CA, North M, Parks SA, Safford HD, Stevens JT, Yocom LL, Churchill DJ, Gray RW, Huffman DW, Lake FK, Khatri-Chhetri P (2021) Adapting western North American forests to climate change and wildfires: 10 common questions. Ecol Appl 31(8). https://doi.org/10.1002/eap.2433. Province of British Columbia (2022) Biogeoclimatic Ecosystem Classification Program. https://www.for.gov.bc.ca/hre/becweb/index.html. Accessed 16 May 2022. Python Software Foundation (2023) Python Language Reference. https://www.python.org/. R Core Team (2023) R: A language and environment for statistical computing. http://www.R-project.org. Radeloff, V.C., D.P. Helmers, H.A. Kramer, M.H. Mockrin, P.M. Alexandre, A. Bar-Massada, V. Butsic, T.J. Hawbaker, S. Martinuzzi, A.D. Syphard, and S.I. Stewart. 2018. Rapid growth of the US wildland-urban interface raises wildfire risk. Proceedings of the National Academy of Sciences 115 (13): 3314–3319. https://doi.org/10.1073/pnas.1718850115. Riaño, D., E. Chuvieco, S. Condés, J. González-Matesanz, and S.L. Ustin. 2004. Generation of crown bulk density for Pinus sylvestris L. from lidar. Remote Sensing of Environment 92 (3): 345–352. https://doi.org/10.1016/j.rse.2003.12.014. Sandberg, D., R.D. Ottmar, and G.H. Cushon. 2001. Characterizing fuels in the 21st century. International Journal of Wildland Fire 10: 381–387. https://doi.org/10.1071/wf01036. Schiks, T., D.K. Thompson, and B.M. Wotton. 2015. Short-term effects of mastication on fuel moisture and thermal regime of boreal fuel beds. Canadian Journal of Forest Research 45 (7): 867–876. https://doi.org/10.1139/cjfr-2014-0431. Schmid WC, Shearer RC (1995) Larix occidentalis: A pioneer of the North American West. General Technical Report GTR-INT-319. In: Ecology and management of Larix forests: A look ahead. Intermountain Forest and Range Experiment Station, Forest Service, U.S. Department of Agriculture, pp 33–37. https://ia804706.us.archive.org/3/items/CAT10699418/CAT10699418.pdf. Scott JH, Burgan RE (2005) Standard fire behavior fuel models: A comprehensive set for use with Rothermel’s surface fire spread model. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, CO. https://www.fs.usda.gov/treesearch/pubs/9521. Shang, C., N.C. Coops, M.A. Wulder, J.C. White, and T. Hermosilla. 2020. Update and spatial extension of strategic forest inventories using time series remote sensing and modeling. International Journal of Applied Earth Observation and Geoinformation 84: 101956. https://doi.org/10.1016/j.jag.2019.101956. Stocks, B.J., T.J. Lynham, B.D. Lawson, M.E. Alexander, C.E.V. Wagner, R.S. McAlpine, and D.E. Dubé. 1989. Canadian Forest Fire Danger Rating System: An overview. The Forestry Chronicle 65 (4): 258–265. https://doi.org/10.5558/tfc65258-4. Taylor SW, Carroll A (2003) Disturbance, forest age, and mountain pine beetle outbreak dynamics in BC: A historical perspective. In: Information Report BC-X-399. Natural Resource Canada, Canadian Forest Service, Pacific Forestry Centre, Kelowna, BC, p 12. https://www.for.gov.bc.ca/hfd/library/mpb/taylor_2004_disturb.pdf. Taylor SW, Baxter GJ, Hawkes BC (1998) Modeling the effects of forest succession on fire behavior potential in southeastern British Columbia. International Conference on Forest Fire Research, 14th Conference on Fire and Forest Meteorology, November 16–20, 1998, Luso, Portugal, pp 2059–2072. https://cfs.nrcan.gc.ca/publications?id=5413. Thompson, J.R., T.A. Spies, and L.M. Ganio. 2007. Reburn severity in managed and unmanaged vegetation in a large wildfire. Proceedings of the National Academy of Sciences of the United States of America 104 (25): 10743–10748. https://doi.org/10.1073/pnas.0700229104. Thompson, M.P., N.M. Vaillant, J.R. Haas, K.M. Gebert, and K.D. Stockmann. 2013. Quantifying the potential impacts of fuel treatments on wildfire suppression costs. Journal of Forestry 111 (1): 49–58. https://doi.org/10.5849/jof.12-027. Thompson, D.K., T.J. Schiks, and B.M. Wotton. 2016. Fuel size impacts on carbon residuals and combustion dynamics in masticated woody debris. Forest Ecology and Management 369: 59–65. https://doi.org/10.1016/j.foreco.2016.03.029. Tompalski, P., N.C. Coops, J.C. White, T.R.H. Goodbody, C.R. Hennigar, M.A. Wulder, J. Socha, and M.E. Woods. 2021. Estimating changes in forest attributes and enhancing growth projections: A review of existing approaches and future directions using airborne 3D Point Cloud Data. Curr Forestry Rep. https://doi.org/10.1007/s40725-021-00135-w. Van Wagner CE (1989) Prediction of crown fire in conifer stands. In: MacIvor D, Auld H, Whitewood R (eds). 10th Conference on Fire and Forest Meteorology, April 17–21, 1989, Ottawa, Ontario. Forestry Canada, Petawawa National Forestry Institute, Chalk River, Ontario, pp 207–212. http://cfs.nrcan.gc.ca/publications?id=10533. Walton A (2013) Provincial-level projection of the current mountain pine beetle outbreak: Update of the infestation projection based on the Provincial Aerial Overview Surveys of Forest Health conducted from 1999 through 2012 and the BCMPB model (year 10). BC Forest Service. https://www.for.gov.bc.ca/ftp/hre/external/!publish/web/bcmpb/year10/BCMPB.v10.BeetleProjection.Update.pdf. Wotton, B.M., M.D. Flannigan, and G.A. Marshall. 2017. Potential climate change impacts on fire intensity and key wildfire suppression thresholds in Canada. Environmental Research Letters 12 (9): 095003. https://doi.org/10.1088/1748-9326/aa7e6e. Wotton BM, Alexander ME, Taylor SW (2009) Updates and revisions to the 1992 Canadian Forest Fire Behavior Prediction System. Information Report GLC-X-10. Great Lakes Forestry Centre, Sault Ste. Marie, Ontario. https://cfs.nrcan.gc.ca/publications?id=31414. Zald, H.S.J., and C.J. Dunn. 2018. Severe fire weather and intensive forest management increase fire severity in a multi-ownership landscape. Ecological Applications 28 (4): 1068–1080. https://doi.org/10.1002/eap.1710. Zhao, K., S. Popescu, X. Meng, Y. Pang, and M. Agca. 2011. Characterizing forest canopy structure with lidar composite metrics and machine learning. Remote Sensing of Environment 115 (8): 1978–1996. https://doi.org/10.1016/j.rse.2011.04.001.