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Original Research Papers

A remote sensing based approach to determine forest fire cycle: case study of the Yenisei Ridge dark taiga

Authors:

Danilo Mollicone ,

Global Vegetation Unit, Joint Research Centre, Ispra, IT
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Frederic Achard,

Global Vegetation Unit, Joint Research Centre, Ispra, IT
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Luca Belelli Marchesini,

Forestry Ecology Laboratory, University of Tuscia, Viterbo, IT
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Sandro Federici,

Forestry Ecology Laboratory, University of Tuscia, Viterbo, IT
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Christian Wirth,

Max Planck Institute for Biogeochemistry, Jena, DE
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Martina Leipold,

Max Planck Institute for Biogeochemistry, Jena, DE
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Stefano Rosellini,

Forestry Ecology Laboratory, University of Tuscia, Viterbo, IT
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E.-Detlef Schulze,

Max Planck Institute for Biogeochemistry, Jena, DE
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Riccardo Valentini

Forestry Ecology Laboratory, University of Tuscia, Viterbo, IT
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Abstract

The role of fire disturbances in boreal regions is of great importance for the global carbon cycle, but for the boreal forests characterized by a low fire frequency (i.e. the dark taiga of Siberia) it is often difficult to identify the fire cycle and the fire disturbance rate. A new methodological approach, based on remote sensing techniques and homogeneous stochastic process properties, has been developed for quantifying the forest-fire cycle. In the following study we selected a forest area, the Yenisei Ridge dark taiga, in central Siberia where field and satellite imagery data were collected, and where this new methodology was applied. For the central Siberian dark taiga, the fire cycle was estimate to be 520 yr.

How to Cite: Mollicone, D., Achard, F., Marchesini, L.B., Federici, S., Wirth, C., Leipold, M., Rosellini, S., Schulze, E.-D. and Valentini, R., 2002. A remote sensing based approach to determine forest fire cycle: case study of the Yenisei Ridge dark taiga. Tellus B: Chemical and Physical Meteorology, 54(5), pp.688–695. DOI: http://doi.org/10.3402/tellusb.v54i5.16714
  Published on 01 Jan 2002
 Accepted on 17 Jun 2002            Submitted on 12 Nov 2001

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