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Fuel modelling in terrestrial ecosystems: An overview in the context of the development of an object-orientated database for wild fire analysis

Author

Listed:
  • Krivtsov, V.
  • Vigy, O.
  • Legg, C.
  • Curt, T.
  • Rigolot, E.
  • Lecomte, I.
  • Jappiot, M.
  • Lampin-Maillet, C.
  • Fernandes, P.
  • Pezzatti, G.B.

Abstract

Wildfires are a serious problem affecting many terrestrial ecosystems and causing substantial economic damage. Understanding the variation in structure of fuels (which are predominantly represented by plant litter and live vegetation) is key to understanding the behaviour of wildland fires. An understanding of changes to fuels as vegetation develops is also central to the management of both wildfire and the planning of prescribed burning. A description of fuel structure is required for all models of fire behaviour. It is therefore important that we have an appropriate system for describing fuel structure and predicting how fuel structure will develop through time (i.e. fuel succession). In this paper we review the range of published models used for fuel description and fuel succession. We propose an object-orientated database as an appropriate method for storing the complex data structures that are needed to process and analyse data on fuels. The potential advantages of an object-orientated database as a tool for modelling fuel succession are discussed.

Suggested Citation

  • Krivtsov, V. & Vigy, O. & Legg, C. & Curt, T. & Rigolot, E. & Lecomte, I. & Jappiot, M. & Lampin-Maillet, C. & Fernandes, P. & Pezzatti, G.B., 2009. "Fuel modelling in terrestrial ecosystems: An overview in the context of the development of an object-orientated database for wild fire analysis," Ecological Modelling, Elsevier, vol. 220(21), pages 2915-2926.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:21:p:2915-2926
    DOI: 10.1016/j.ecolmodel.2009.08.019
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    References listed on IDEAS

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    1. Rizzoli, Andrea E. & Donatelli, Marcello & Athanasiadis, Ioannis N. & Villa, Ferdinando & Huber, David, 2008. "Semantic links in integrated modelling frameworks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 412-423.
    2. Fyllas, Nikolaos M. & Phillips, Oliver L. & Kunin, William E. & Matsinos, Yiannis G. & Troumbis, Andreas I., 2007. "Development and parameterization of a general forest gap dynamics simulator for the North-eastern Mediterranean Basin (GREek FOrest Species)," Ecological Modelling, Elsevier, vol. 204(3), pages 439-456.
    3. Nissen, T. M. & Midmore, D. J. & Keeler, A. G., 2001. "Biophysical and economic tradeoffs of intercropping timber with food crops in the Philippine uplands," Agricultural Systems, Elsevier, vol. 67(1), pages 49-69, January.
    4. Mercer, D. Evan & Prestemon, Jeffrey P., 2005. "Comparing production function models for wildfire risk analysis in the wildland-urban interface," Forest Policy and Economics, Elsevier, vol. 7(5), pages 782-795, August.
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    Cited by:

    1. Parsons, Russell A. & Mell, William E. & McCauley, Peter, 2011. "Linking 3D spatial models of fuels and fire: Effects of spatial heterogeneity on fire behavior," Ecological Modelling, Elsevier, vol. 222(3), pages 679-691.
    2. Seidl, Rupert & Fernandes, Paulo M. & Fonseca, Teresa F. & Gillet, François & Jönsson, Anna Maria & Merganičová, Katarína & Netherer, Sigrid & Arpaci, Alexander & Bontemps, Jean-Daniel & Bugmann, Hara, 2011. "Modelling natural disturbances in forest ecosystems: a review," Ecological Modelling, Elsevier, vol. 222(4), pages 903-924.
    3. Hamed Adab & Kasturi Kanniah & Karim Solaimani, 2013. "Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1723-1743, February.

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