Estimation of surface dead fine fuel moisture using automated fuel moisture sticks across a range of forests worldwide
Web of Science
AuthorCawson, JG; Nyman, P; Schunk, C; Sheridan, GJ; Duff, TJ; Gibos, K; Bovill, WD; Conedera, M; Pezzatti, GB; Menzel, A
Source TitleInternational Journal of Wildland Fire
University of Melbourne Author/sCawson, Jane; Sheridan, Gary; Nyman, Petter; Duff, Thomas; Bovill, William
AffiliationSchool of Ecosystem and Forest Sciences
Document TypeJournal Article
CitationsCawson, J. G., Nyman, P., Schunk, C., Sheridan, G. J., Duff, T. J., Gibos, K., Bovill, W. D., Conedera, M., Pezzatti, G. B. & Menzel, A. (2020). Estimation of surface dead fine fuel moisture using automated fuel moisture sticks across a range of forests worldwide. International Journal of Wildland Fire, 29 (6), pp.548-559. https://doi.org/10.1071/WF19061.
Access StatusOpen Access
Field measurements of surface dead fine fuel moisture content (FFMC) are integral to wildfire management, but conventional measurement techniques are limited. Automated fuel sticks offer a potential solution, providing a standardised, continuous and real-time measure of fuel moisture. As such, they are used as an analogue for surface dead fine fuel but their performance in this context has not been widely evaluated. We assessed the ability of automated fuel sticks to predict surface dead FFMC across a range of forest types. We combined concurrent moisture measurements of the fuel stick and surface dead fine fuel from 27 sites (570 samples), representing nine broad forest fuel categories. We found a moderate linear relationship between surface dead FFMC and fuel stick moisture for all data combined (R2 = 0.54), with fuel stick moisture averaging 3-fold lower than surface dead FFMC. Relationships were typically stronger for individual forest fuel categories (median R2 = 0.70; range = 0.55–0.87), suggesting the sticks require fuel-specific calibration for use as an analogue of surface dead fine fuel. Future research could identify fuel properties that will enable more generalised calibration functions.
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