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A simple model for shrub-strata-fuel dynamics in Quercus coccifera L. communities

  • François Pimont
  • Jean-Luc Dupuy
  • Eric Rigolot
Original Paper

Abstract

Key message

We model the dynamics of fuel characteristics in shrub strata dominated by Quercus coccifera L. with data gathered in available literature. The model expresses the variability of this important fire-prone fuel type thanks to yield classes, and it can be used to investigate management scenarios. The approach could easily be applied to other shrub communities.

Context

Characterizing fuel is a basic requirement for fire hazard assessment. Quercus coccifera L. is present in several Mediterranean fire-prone communities, and its fuel characteristics have been studied over various Mediterranean countries, but no general model describes its dynamics.

Aims

Herein, we present such a general model, initially developed for operational purposes at the French Forest Service.

Methods

We review available literature and fit statistical relationships to predict the dynamics of fuel height and biomass, by size categories of fine fuel elements.

Results

The model estimates fuel characteristics from shrub-strata age, overstorey cover, and yield class with a reasonable degree of accuracy considering the heterogeneity of the datasets. It shows that bulk density is highly sensitive to overstorey, and in a lesser extent to strata age, which could lead to significant bias when assessing fuel properties from general allometries. The model is integrated in the FuelManager software, which is devoted to fuel modeling for physics-based-fire-behavior models.

Conclusion

This simple approach enables to provide a fuel model for the Quercus coccifera L. shrub strata in the Mediterranean basin. It is more general than the existing relationships available for local data. This approach could be generalized to other fire-prone communities.

Keywords

Fire hazard Mediterranean basin Fuel accumulation Understorey Kermes oak Fuel load 

Notes

Acknowledgements

We would like to thank the people who contributed to the collection and publication of data used all along this study. We thank Philippe Dreyfus (French Forest Service, Research Development and Innovation division), for his useful reading of the manuscript.

Funding

None.

Compliance with ethical standards

Conflict of interests

The authors declare that they have no conflict of interest.

Supplementary material

13595_2018_713_MOESM1_ESM.docx (232 kb)
ESM 1 (DOCX 232 kb)

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Copyright information

© INRA and Springer-Verlag France SAS, part of Springer Nature 2018

Authors and Affiliations

  1. 1.INRA, UR 629AvignonFrance

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