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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

Effect of tree wood density on energy release and charcoal reflectance under constant heat exposure

Alastair J. Crawford https://orcid.org/0000-0002-2133-2886 A B * , Ted R. Feldpausch https://orcid.org/0000-0002-6631-7962 C D , Ben Hur Marimon Junior D , Edmar A. de Oliveira D and Claire M. Belcher A
+ Author Affiliations
- Author Affiliations

A wildFIRE Lab, Hatherly Laboratories, University of Exeter, Exeter, UK.

B School of Environment, Earth and Ecosystem Sciences, The Open University, Milton Keynes, UK.

C Geography, Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK.

D State University of Mato Grosso, Nova Xavantina, Brazil.

* Correspondence to: a.j.crawford2@exeter.ac.uk

International Journal of Wildland Fire 32(12) 1788-1797 https://doi.org/10.1071/WF22156
Submitted: 9 July 2022  Accepted: 6 May 2023  Published: 24 October 2023

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of IAWF.

Abstract

Background

Charcoal increases in reflectance with increased intensity and/or duration of heating, and this has been proposed as a potential quantitative metric for fire severity. Because fuel properties also influence reflectance, relationships between heat exposure and reflectance must currently be considered fuel-specific, limiting the application of the method.

Aims

We assessed the effect of wood density on charcoal reflectance, to test whether it could be used as a proxy for overall variation in wood properties.

Methods

Wood samples from 25 tree species were charred under constant conditions in a microcalorimeter, and reflectance measured by microphotometry.

Key results

A positive linear relationship was found between wood density and charcoal reflectance (r = 0.53). Wood density was highly correlated with total heat release per unit volume (r = 0.94).

Conclusions

Wood density accounts for a substantial component of the variation in charcoal reflectance under constant heat exposure.

Implications

The relationship of density to reflectance shown here is relevant to the assessment of charcoals formed anaerobically, where endogenous heating (combustion of the sample itself) does not occur. In fire-produced chars, an additional increase in reflectance from endogenous heating should produce a stronger correlation, and density might account for a large component of the variation in reflectance under such conditions.

Keywords: burn severity, charcoal reflectance, fire severity, microcalorimetry, microphotometry, pyrogenic carbon, wildfire, wood density.

References

Altman N, Krzywinski M (2016) Regression diagnostics. Nature Methods 13(5), 385-386.
| Crossref | Google Scholar |

Antal MJ, Grønli M (2003) The art, science, and technology of charcoal production. Industrial & Engineering Chemistry Research 42(8), 1619-1640.
| Crossref | Google Scholar |

Ascough PL, Bird MI, Scott AC, Collinson ME, Cohen-Ofri I, Snape CE, Le Manquais K (2010) Charcoal reflectance measurements: implications for structural characterization and assessment of diagenetic alteration. Journal of Archaeological Science 37, 1590-1599.
| Crossref | Google Scholar |

Belcher CM, Hudspith VA (2016) The formation of charcoal reflectance and its potential use in post-fire assessments. International Journal of Wildland Fire 25, 775-779.
| Crossref | Google Scholar |

Belcher CM, New SL, Santín C, Doerr SH, Dewhirst RA, Grosvenor MJ, Hudspith VA (2018) What can charcoal reflectance tell us about energy release in wildfires and the properties of pyrogenic carbon? Frontiers in Earth Science 6, 169.
| Crossref | Google Scholar |

Belcher CM, New SL, Gallagher MR, Grosvenor MJ, Clark K, Skowronski NS (2021) Bark charcoal reflectance may have the potential to estimate the heat delivered to tree boles by wildland fires. International Journal of Wildland Fire 30(5), 391-397.
| Crossref | Google Scholar |

Braadbaart F, Poole I (2008) Morphological, chemical and physical changes during charcoalification of wood and its relevance to archaeological contexts. Journal of Archaeological Science 35, 2434-2445.
| Crossref | Google Scholar |

Braadbaart F, Poole I, van Brussel AA (2009) Preservation potential of charcoal in alkaline environments: an experimental approach and implications for the archaeological record. Journal of Archaeological Science 36, 1672-1679.
| Crossref | Google Scholar |

Cohen J, Cohen P, West SG, Aiken LS (2003) ‘Applied multiple regression/correlation analysis for the behavioral sciences.’ 3rd edn. (Lawrence Erlbaum Associates)

Cohen-Ofri I, Weiner L, Boaretto E, Mintz G, Weiner S (2006) Modern and fossil charcoal: aspects of structure and diagenesis. Journal of Archaeological Science 33, 428-439.
| Crossref | Google Scholar |

Eberhard AA (1990) Fuelwood calorific values in South Africa. South African Forestry Journal 152(1), 17-22.
| Crossref | Google Scholar |

Fox J (2008) ‘Applied regression analysis and generalized linear models.’ 2nd edn. (Sage)

Günther B, Gebauer K, Barkowski R, Rosenthal M, Bues C-T (2012) Calorific value of selected wood species and wood products. European Journal of Wood and Wood Products 70, 755-757.
| Crossref | Google Scholar |

Hammer Ø, Harper DAT, Ryan PD (2001) Past: paleontological statistics software package for education and data analysis. Palaeontologia Electronica 4(1), 4.
| Google Scholar |

Harris PJF (2019) Non-graphitizing carbon: its structure and formation from organic precursors. Eurasian Chemico-Technological Journal 21, 227-234.
| Crossref | Google Scholar |

Hudspith VA, Belcher CM, Yearsley JM (2014) Charring temperatures are driven by the fuel types burned in a peatland wildfire. Frontiers in Plant Science 5, 714.
| Crossref | Google Scholar |

Hudspith VA, Belcher CM, Kelly R, Hu FS (2015) Charcoal reflectance reveals early Holocene boreal deciduous forests burned at high intensities. PLoS One 10(4), e0120835.
| Crossref | Google Scholar |

Jones TP, Scott AC, Cope M (1991) Reflectance measurements and the temperature of formation of modern charcoals and implications for studies of fusain. Bulletin de la Société Géologique de France 162(2), 193-200.
| Google Scholar |

Krajnc N (2015) ‘Wood Fuels Handbook.’ (Food and Agriculture Organization of the United Nations: Pristina)

Losiak A, Jõeleht A, Plado J, Szyszka M, Kirsimäe K, Wild EM, Steier P, Belcher CM, Jazwa AM, Helde R (2020) Determining the age and possibility for an extraterrestrial impact formation mechanism of the Ilumetsa structures (Estonia). Meteoritics & Planetary Science 55(2), 274-293.
| Crossref | Google Scholar |

Lyon RE (2000) Heat release kinetics. Fire and Materials 24, 179-186.
| Crossref | Google Scholar |

Lyon RE, Walters RN (2004) Pyrolysis combustion flow calorimetry. Journal of Analytical and Applied Pyrolysis 71, 27-46.
| Crossref | Google Scholar |

Lyon RE, Walters RN, Stoliarov SI, Safronava N (2014) Principles and Practice of Microscale Combustion Calorimetry. Report No. DOT/FAA/TC-12/53, R1. 95 pp. (Department of Transportation, Federal Aviation Administration, William J. Hughes Technical Center, Atlantic City International Airport: NJ 08405)

Martinka J, Martinka F, Rantuch P, Hrušovský I, Blinová L, Balog K (2018) Calorific value and fire risk of selected fast-growing wood species. Journal of Thermal Analysis and Calorimetry 131, 899-906.
| Crossref | Google Scholar |

McParland LC, Collinson ME, Scott AC, Campbell G (2009) The use of reflectance values for the interpretation of natural and anthropogenic charcoal assemblages. Archaeological and Anthropological Sciences 1, 249-261.
| Crossref | Google Scholar |

Preston CM, Schmidt MWI (2006) Black (pyrogenic) carbon: a synthesis of current knowledge and uncertainties with special consideration of boreal regions. Biogeosciences 3, 397-420.
| Crossref | Google Scholar |

Roos CI, Scott AC (2018) A comparison of charcoal reflectance between crown and surface fire contexts in dry south-west USA forests. International Journal of Wildland Fire 27, 396-406.
| Crossref | Google Scholar |

Royal Society of Chemistry (2006) Representing data distributions with kernel density estimates. Analytical Methods Committee Technical Brief No. 4. Royal Society of Chemistry.

Sackett PR, Yang H (2000) Correction for range restriction: an expanded typology. Journal of Applied Psychology 85(1), 112-118.
| Crossref | Google Scholar |

Schmidt FL, Hunter JE (2015) ‘Methods of Meta-Analysis: Correcting Error and Bias in Research Findings.’ 3rd edn. (Sage)

Scott AC, Glasspool IJ (2005) Charcoal reflectance as a proxy for the emplacement temperature of pyroclastic flow deposits. Geology 33(7), 589-592.
| Crossref | Google Scholar |

Sheskin DJ (2004) ‘Handbook of Parametric and Nonparametric Statistical Procedures.’ 3rd edn. (Chapman & Hall/CRC)

Theurer T, Muirhead DK, Jolley D, Mauquoy D (2021) The applicability of Raman spectroscopy in the assessment of palaeowildfire intensity. Palaeogeography, Palaeoclimatology, Palaeoecology 570, 110363.
| Crossref | Google Scholar |

Todaro L, Rita A, Cetera P, D’Auria M (2015) Thermal treatment modifies the calorific value and ash content in some wood species. Fuel 140, 1-3.
| Crossref | Google Scholar |

Veal R, O’Donnell L, McParland L (2016) Reflectance - Current state of research and future directions for archaeological charcoal; Results from a pilot study on Irish Bronze Age cremation charcoals. Journal of Archaeological Science 75, 72-81.
| Crossref | Google Scholar |

Zanne AE, Lopez-Gonzalez G, Coomes DA, Ilic J, Jansen S, Lewis SL, Miller RB, Swenson NG, Wiemann MC, Chave J (2009) Data from: towards a worldwide wood economics spectrum [Dataset]. Dryad. 10.5061/dryad.234 [verified 30 September 2021]