Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Assessing the potential of the differenced Normalized Burn Ratio (dNBR) for estimating burn severity in eastern Canadian boreal forests

Jonathan Boucher A B C , André Beaudoin B D , Christian Hébert B , Luc Guindon B and Éric Bauce A
+ Author Affiliations
- Author Affiliations

A Université Laval, 2325 de l’Université, Québec, QC, G1V 0A6, Canada.

B Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, 1055 du P.E.P.S., PO Box 10380, Sainte-Foy, Québec, QC, G1V 4C7, Canada.

C Present address: Société de Protection des Forêts contre le Feu, 715, 7e Rue de l’Aéroport, Québec, QC, G2G 2S7, Canada.

D Corresponding author. Email: andre.beaudoin@canada.ca

International Journal of Wildland Fire 26(1) 32-45 https://doi.org/10.1071/WF15122
Submitted: 1 July 2015  Accepted: 20 September 2016   Published: 8 November 2016

Abstract

There is considerable variation in the degree of burn severity in boreal fires. One approach that has been used to capture this variation from field and remote sensing perspectives for western Canadian boreal forests is the Composite Burn Index (CBI) and differenced Normalized Burn Ratio (dNBR). Of interest was how well these methods may perform for fires in eastern Canada. This study investigated the CBI-dNBR relationship for selected fires in the eastern boreal forests of Canada, with a view towards contributing to the generalisation of a Canada-wide model. Results for the sampled region showed no difference in the CBI-dNBR relationship between black spruce- and jack pine-dominated stands, whereas this relationship was best described by a Generalised Additive Model (GAM). The dNBR-derived maps would also be useful in support of research and post-fire management in burns outside the studied territory and time frame covered by the existing burn severity mapping system already used in this region. The Saturated growth model proposed for the western boreal region also performed well for our eastern boreal region, thus further supporting the development of a national model.


References

Akaike H (1974) A new look at the statistical model identification. IEEE Transactions on Automatic Control 19, 716–723.
A new look at the statistical model identification.Crossref | GoogleScholarGoogle Scholar |

Allen JL, Sorbel B (2008) Assessing the differenced Normalized Burn Ratio’s ability to map burn severity in the boreal forest and tundra ecosystems of Alaska’s national parks. International Journal of Wildland Fire 17, 463–475.
Assessing the differenced Normalized Burn Ratio’s ability to map burn severity in the boreal forest and tundra ecosystems of Alaska’s national parks.Crossref | GoogleScholarGoogle Scholar |

Arnett JTTR, Coops NC, Daniels LD, Falls RW (2015) Detecting forest damage after a low-severity fire using remote sensing at multiple scales International Journal of Applied Earth Observation and Geoinformation 35, 239–246.
Detecting forest damage after a low-severity fire using remote sensing at multiple scalesCrossref | GoogleScholarGoogle Scholar |

Azeria ET, Ibarzabal J, Hébert C, Boucher J, Imbeau L, Savard J-PL (2011) Differential response of bird functional traits to post-fire salvage logging in a boreal forest ecosystem. Acta Oecologica 37, 220–229.
Differential response of bird functional traits to post-fire salvage logging in a boreal forest ecosystem.Crossref | GoogleScholarGoogle Scholar |

Baty F, Ritz C, Charles S, Brutsche M, Flandrois J-P, Delignette-Muller M-L (2015) A toolbox for non-linear regression in R: the package nlstools. Journal of Statistical Software 66, 1–21.
A toolbox for non-linear regression in R: the package nlstools.Crossref | GoogleScholarGoogle Scholar |

Bergeron Y, Flannigan M, Gauthier S, Leduc A, Lefort P (2004a) Past, current and future fire frequency in the Canadian boreal forest: implications for sustainable forest management. Ambio 33, 356–360.
Past, current and future fire frequency in the Canadian boreal forest: implications for sustainable forest management.Crossref | GoogleScholarGoogle Scholar |

Bergeron Y, Gauthier S, Flannigan M, Kafka V (2004b) Fire regimes at the transition between mixedwood and coniferous boreal forest in north-western Quebec. Ecology 85, 1916–1932.
Fire regimes at the transition between mixedwood and coniferous boreal forest in north-western Quebec.Crossref | GoogleScholarGoogle Scholar |

Boucher J (2010) Impacts de la coupe de récupération après feu sur les coléoptères associés aux brûlis en forêt boréale: une dynamique temporelle. M.Sc. thesis, Université du Québec à Chicoutimi, QC.

Boucher J (2016) Intégration de la caractérisation de la sévérité du feu dans les outils d’aménagement écosystémique en forêt boréale. Ph.D. thesis, Université Laval, Quebec, QC, Canada.

Boulanger Y, Sirois L, Hébert C (2010) Distribution of saproxylic beetles in a recently burnt landscape of the northern boreal forest of Québec. Forest Ecology and Management 260, 1114–1123.
Distribution of saproxylic beetles in a recently burnt landscape of the northern boreal forest of Québec.Crossref | GoogleScholarGoogle Scholar |

Boulanger Y, Sirois L, Hébert C (2013) Distribution patterns of three long-horned beetles (Coleoptera: Cerambycidae) shortly after fire in boreal forest: adults colonizing stands versus progeny emerging from trees. Environmental Entomology 42, 17–28.
Distribution patterns of three long-horned beetles (Coleoptera: Cerambycidae) shortly after fire in boreal forest: adults colonizing stands versus progeny emerging from trees.Crossref | GoogleScholarGoogle Scholar |

Cansler CA (2011) Drivers of burn severity in the Northern Cascade Range, Washington. M.Sc. thesis, University of Washington, Seattle, WA.

Cocke AE, Fulé PZ, Crouse JE (2005) Comparison of burn severity assessments using differenced Normalized Burn Ratio and ground data. International Journal of Wildland Fire 14, 189–198.
Comparison of burn severity assessments using differenced Normalized Burn Ratio and ground data.Crossref | GoogleScholarGoogle Scholar |

De Santis A, Chuvieco E (2007) Burn severity estimation from remotely sensed data: performance of simulation versus empirical models. Remote Sensing of Environment 108, 422–435.
Burn severity estimation from remotely sensed data: performance of simulation versus empirical models.Crossref | GoogleScholarGoogle Scholar |

Doucet R, Côté M (2009) ‘Manuel de foresterie.’ (Éditions MultiMondes: Québec, QC).

Ecological Stratification Working Group (1996) A national ecological framework for Canada. Agriculture and Agric.-Food Canada, Research Branch, Centre for Land and Biological Resources Research, and Environment Canada, State of the Environment Directorate. (Ottawa, ON)

Edwards AC, Maier SW, Hutley LB, Williams RJ, Russell-Smith J (2013) Spectral analysis of fire severity in north Australian tropical savannas. Remote Sensing of Environment 136, 56–65.
Spectral analysis of fire severity in north Australian tropical savannas.Crossref | GoogleScholarGoogle Scholar |

Eidenshink J, Schwind B, Brewer K, Zhu Z-L, Quayle B, Howard S (2007) A project for monitoring trends in burn severity. Fire Ecology 3, 3–21.
A project for monitoring trends in burn severity.Crossref | GoogleScholarGoogle Scholar |

Epting J, Verbyla D, Sorbel B (2005) Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+. Remote Sensing of Environment 96, 328–339.
Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+.Crossref | GoogleScholarGoogle Scholar |

Forestry Canada Fire Danger Group (1992) Development and structure of the Canadian Forest Fire Behavior Prediction System. Forestry Canada, Science and Sustainable Development Directorate, Information Report ST-X-3. (Ottawa, ON)

Fox DM, Maselli F, Carrega P (2008) Using SPOT images and field sampling to map burn severity and vegetation factors affecting post forest fire erosion risk. Catena 75, 326–335.
Using SPOT images and field sampling to map burn severity and vegetation factors affecting post forest fire erosion risk.Crossref | GoogleScholarGoogle Scholar |

French NHF, Kasischke ES, Hall RJ, Murphy KA, Verbyla DL, Hoy EE, Allen JL (2008) Using Landsat data to assess fire and burn severity in the North American boreal forest region: an overview and summary of results. International Journal of Wildland Fire 17, 443–462.
Using Landsat data to assess fire and burn severity in the North American boreal forest region: an overview and summary of results.Crossref | GoogleScholarGoogle Scholar |

García MJL, Caselles V (1991) Mapping burns and natural reforestation using Thematic Mapper data. Geocarto International 6, 31–37.
Mapping burns and natural reforestation using Thematic Mapper data.Crossref | GoogleScholarGoogle Scholar |

Girardin MP, Ali AA, Hély C (2010) Wildfires in boreal ecosystems: past, present and some emerging trends. International Journal of Wildland Fire 19, 991–995.
Wildfires in boreal ecosystems: past, present and some emerging trends.Crossref | GoogleScholarGoogle Scholar |

Hall RJ, Freeburn JT, de Groot WJ, Pritchard JM, Lynham TJ, Landry R (2008) Remote sensing of burn severity: experience from western Canada boreal fires. International Journal of Wildland Fire 17, 476–489.
Remote sensing of burn severity: experience from western Canada boreal fires.Crossref | GoogleScholarGoogle Scholar |

Hutto RL (2006) Toward meaningful snag-management guidelines for post-fire salvage logging in North American conifer forests. Conservation Biology 20, 984–993.
Toward meaningful snag-management guidelines for post-fire salvage logging in North American conifer forests.Crossref | GoogleScholarGoogle Scholar |

Jain TB, Graham RT, Pilliod DS (2004) Tongue-tied: confused meanings for common fire terminology can lead to fuels mismanagement. Wildfire July/August, 22–26.

Kasischke ES, Turetsky MR, Ottmar RD, French NHF, Hoy EE, Kane ES (2008) Evaluation of the Composite Burn Index for assessing fire severity in Alaskan black spruce forests. International Journal of Wildland Fire 17, 515–526.
Evaluation of the Composite Burn Index for assessing fire severity in Alaskan black spruce forests.Crossref | GoogleScholarGoogle Scholar |

Kennedy PL, Fontaine JB (2009) Synthesis of knowledge on the effects of fire and fire surrogates on wildlife in US dry forests. Oregon State University, Information Report ST-X-3. (Corvallis, OR).

Key CH, Benson NC (2006) Landscape assessment (LA) sampling and analysis methods. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-164-CD. (Fort Collins, CO)

Kolden CA, Smith AM, Abatzoglou JT (2015) Limitations and utilisation of Monitoring Trends in Burn Severity products for assessing wildfire severity in the USA. International Journal of Wildland Fire 24, 1023–1028.
Limitations and utilisation of Monitoring Trends in Burn Severity products for assessing wildfire severity in the USA.Crossref | GoogleScholarGoogle Scholar |

Kotliar NB, Kennedy PL, Ferree K (2007) Avifaunal responses to fire in south-western montane forests along a burn severity gradient. Ecological Applications 17, 491–507.
Avifaunal responses to fire in south-western montane forests along a burn severity gradient.Crossref | GoogleScholarGoogle Scholar |

Lentile LB, Holden ZA, Smith AMS, Falkowski MJ, Hudak AT, Morgan P, Lewis SA, Gessler PE, Benson NC (2006) Remote sensing techniques to assess active fire characteristics and post-fire effects. International Journal of Wildland Fire 15, 319–345.
Remote sensing techniques to assess active fire characteristics and post-fire effects.Crossref | GoogleScholarGoogle Scholar |

Lhermitte S, Verbesselt J, Verstraeten WW, Veraverbeke S, Coppin P (2011) Assessing intra-annual vegetation regrowth after fire using the pixel-based regeneration index. ISPRS Journal of Photogrammetry and Remote Sensing 66, 17–27.
Assessing intra-annual vegetation regrowth after fire using the pixel-based regeneration index.Crossref | GoogleScholarGoogle Scholar |

Lindenmayer DB, Burton PJ, Franklin JF (2008) ‘Salvage logging and its ecological consequences.’ (Island Press: Washington, DC).

Miller JD, Thode AE (2007) Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote Sensing of Environment 109, 66–80.
Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR).Crossref | GoogleScholarGoogle Scholar |

Morgan JA, Tatar JF (1972) Calculation of the residual sum of squares for all possible regressions. Technometrics 14, 317–325.
Calculation of the residual sum of squares for all possible regressions.Crossref | GoogleScholarGoogle Scholar |

Nappi A, Drapeau P, Savard JP (2004) Salvage logging after wildfire in the boreal forest: is it becoming a hot issue for wildlife? Forestry Chronicle 80, 67–74.
Salvage logging after wildfire in the boreal forest: is it becoming a hot issue for wildlife?Crossref | GoogleScholarGoogle Scholar |

Nappi A, Déry S, Bujold F, Chabot M, Dumont M-C, Duval J, Drapeau P, Gauthier S, Brais S, Peltier J, Bergeron I (2011) La récolte dans les forêts brûlées – enjeux et orientation pour un aménagement écosystémique. Ministère des Ressources Naturelles et de la Faune, Direction de l’Environnement et de la Protection des Forêts, p. 51. (Québec, QC).

Neary DG, Klopatek CC, DeBano LF, Ffolliott PF (1999) Fire effects on belowground sustainability: a review and synthesis. Forest Ecology and Management 122, 51–71.
Fire effects on belowground sustainability: a review and synthesis.Crossref | GoogleScholarGoogle Scholar |

Oakdale Engineering (2002) ‘Datatfit for Windows version 9.0 user’s manual.’ (Oakdale Engineering: Oakdale, PA).

Parks S, Dillon G, Miller C (2014) A new metric for quantifying burn severity: the relativized burn ratio. Remote Sensing 6, 1827–1844.
A new metric for quantifying burn severity: the relativized burn ratio.Crossref | GoogleScholarGoogle Scholar |

Pinheiro J, Bates D, DebRoy S, Sarkar D, R Development Core Team (2013) nlme: linear and non-linear mixed effects models. R package version 3.1–109. Available at https://cran.r-project.org/web/packages/nlme/index.html [Verified 17 October 2017]

R Core Team (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing. (Vienna, Austria)

Randerson JT, Chen Y, van der Werf GR, Rogers BM, Morton DC (2012) Global burned area and biomass burning emissions from small fires. Journal of Geophysical Research. Biogeosciences 117, G04012

Ryan K, Noste N (1985) Evaluating prescribed fires. In ‘Proceedings – symposium and workshop on wilderness fire’. (Eds JE Lotan et al.) pp. 230–238. USDA Forest Service Intermountain Forest and Range Experiment Station, General Technical Report INT-182.

Safford H, Miller J, Schmidt D, Roath B, Parsons A (2008) BAER soil burn severity maps do not measure fire effects to vegetation: a comment on Odion and Hanson (2006). Ecosystems 11, 1–11.
BAER soil burn severity maps do not measure fire effects to vegetation: a comment on Odion and Hanson (2006).Crossref | GoogleScholarGoogle Scholar |

Saint-Germain M, Greene DF (2009) Salvage logging in the boreal and cordilleran forests of Canada: integrating industrial and ecological concerns in management plans. Forestry Chronicle 85, 120–134.
Salvage logging in the boreal and cordilleran forests of Canada: integrating industrial and ecological concerns in management plans.Crossref | GoogleScholarGoogle Scholar |

Smucker KM, Hutto RL, Steele BM (2005) Changes in bird abundance after wildfire: importance of fire severity and time since fire. Ecological Applications 15, 1535–1549.
Changes in bird abundance after wildfire: importance of fire severity and time since fire.Crossref | GoogleScholarGoogle Scholar |

Sommers WT, Loehman RA, Hardy CC (2014) Wildland fire emissions, carbon, and climate: science overview and knowledge needs. Forest Ecology and Management 317, 1–8.
Wildland fire emissions, carbon, and climate: science overview and knowledge needs.Crossref | GoogleScholarGoogle Scholar |

Soverel NO, Perrakis DDB, Coops NC (2010) Estimating burn severity from Landsat dNBR and RdNBR indices across western Canada. Remote Sensing of Environment 114, 1896–1909.
Estimating burn severity from Landsat dNBR and RdNBR indices across western Canada.Crossref | GoogleScholarGoogle Scholar |

Soverel NO, Coops NC, Perrakis DDB, Daniels LD, Gergel SE (2011) The transferability of a dNBR-derived model to predict burn severity across 10 wildland fires in western Canada. International Journal of Wildland Fire 20, 518–531.
The transferability of a dNBR-derived model to predict burn severity across 10 wildland fires in western Canada.Crossref | GoogleScholarGoogle Scholar |

United States Geological Survey (2013) ‘Product guide: Landsat surface reflectance-derived spectral indices.’ (University of Maryland: College Park, MD).

van Wagtendonk JW, Root RR, Key CH (2004) Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity. Remote Sensing of Environment 92, 397–408.
Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity.Crossref | GoogleScholarGoogle Scholar |

Volney WJA, Hirsch KG (2005) Disturbing forest disturbances. Forestry Chronicle 81, 662–668.
Disturbing forest disturbances.Crossref | GoogleScholarGoogle Scholar |

Weber MG, Stocks BJ (1998) Forest fires and sustainability in the boreal forests of Canada. Ambio 27, 545–550.

Wilson BG, Adams BJ, Karney BW (1990) Bias in log-transformed frequency distributions. Journal of Hydrology 118, 19–37.
Bias in log-transformed frequency distributions.Crossref | GoogleScholarGoogle Scholar |

Wood SN (2011) Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. Journal of the Royal Statistical Society. Series B, Statistical Methodology 73, 3–36.
Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models.Crossref | GoogleScholarGoogle Scholar |

Wulder MA, White JC, Alvarez F, Han T, Rogan J, Hawkes B (2009) Characterizing boreal forest wildfire with multitemporal Landsat and LIDAR data. Remote Sensing of Environment 113, 1540–1555.
Characterizing boreal forest wildfire with multitemporal Landsat and LIDAR data.Crossref | GoogleScholarGoogle Scholar |

Zuur AF, Ieno EN, Walker NJ, Saveliev AA, Smith GM (2009) ‘Mixed effects models and extensions in ecology.’ (Springer-Verlag: New York, NY).

Zwietering MH, Rombouts FM, Riet KVT (1992) Comparison of definitions of the lag phase and the exponential phase in bacterial growth. The Journal of Applied Bacteriology 72, 139–145.
Comparison of definitions of the lag phase and the exponential phase in bacterial growth.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK383htVCnuw%3D%3D&md5=8357dc914dc4bba161dcf63ee109fc30CAS |