WIT Press


Assessing Fire Risk In Stand-level Management In Galicia (north-western Spain)

Price

Free (open access)

Paper DOI

10.2495/FIVA080101

Volume

119

Pages

9

Page Range

89 - 97

Published

2008

Size

342 kb

Author(s)

M. Pasalodos-Tato & T. Pukkala

Abstract

Forest fires are the most important threat that forest plantations have to face in Galicia. Due to both economic and ecological losses that fire cause in the region, fire risk must be integrated in forest management planning. Nevertheless, the complexity of forest fires and the dependence of their consequences on many uncontrollable factors (i.e., wind speed, fuel moisture, flame intensity, etc), makes it difficult to predict these consequences. Fire risk is the probability of occurrence multiplied by the proportion of damaged timber. The aim of this study is to analyse the effect of fire risk on the optimal management schedule of Pinus radiata stands under two different ways of assessing risk: endogenous and exogenous approach, both with and without timber depreciation. The results show that optimal rotation length shortens with increasing fire risk if there is timber depreciation. Without timber depreciation the trend is similar except for very high values of exogenous salvage rate and endogenous salvage; in these situations, rotation length increases when fire risk increases. Keywords: optimisation, simulation, endogenous risk, exogenous risk, soil expectation value, salvage, timber depreciation. 1 Introduction Fire can be considered the main hazard for forest stands in Galicia. More than half of the forest fires that took place in Spain in the last decade occurred in Galicia. (Ministerio de Medio Ambiente [1]). Among the reasons that can explain this high proportion of forest fires are the high fuel loads due to management that maximises biomass production. This kind of management is a consequence of high demand for disintegration wood in the region. The current management practise involves production of large amount of forest residues

Keywords

optimisation, simulation, endogenous risk, exogenous risk, soil expectation value, salvage, timber depreciation.