Development of a Model to Estimate the Risk of Emission of Greenhouse Gases from Forest Fires
BENHALIMA, Yacine
Victoria University of Wellington
Sociétés Traditionnelles et Contemporaines en Océanie (EA 4241) [EASTCO]
Université de la Polynésie Française [UPF]
Victoria University of Wellington
Sociétés Traditionnelles et Contemporaines en Océanie (EA 4241) [EASTCO]
Université de la Polynésie Française [UPF]
REGO, Francisco C.
Universidade Nova de Lisboa = NOVA University Lisbon [NOVA]
Instituto Superior de Agronomia [Lisboa] [ISA]
Universidade Nova de Lisboa = NOVA University Lisbon [NOVA]
Instituto Superior de Agronomia [Lisboa] [ISA]
RUIZ-PEINADO, Ricardo
Centro de Investigaciones Biológicas [CSIC]
Center for International Forestry Research [CIFOR]
Forest Research Centre [FRC]
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria = National Institute for Agricultural and Food Research and Technology [INIA]
< Réduire
Centro de Investigaciones Biológicas [CSIC]
Center for International Forestry Research [CIFOR]
Forest Research Centre [FRC]
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria = National Institute for Agricultural and Food Research and Technology [INIA]
Langue
EN
Article de revue
Ce document a été publié dans
Fire. 2022-12-29
Résumé en anglais
While the Mediterranean basin is foreseen to be highly affected by climate change (CC) and severe forest fires are expected to be more frequent, international efforts to fight against CC do not consider forest fires’ ...Lire la suite >
While the Mediterranean basin is foreseen to be highly affected by climate change (CC) and severe forest fires are expected to be more frequent, international efforts to fight against CC do not consider forest fires’ greenhouse gas (GHG) emissions risk and the possibility of its mitigation. This is partly due to a lack of a methodology for GHG risk spatial assessment and consideration of the high value of carbon stocks in forest ecosystems and their intrinsic risk. To revert this, an innovative GHG emission risk model has been developed and implemented in a pilot forest area. This model considers geospatial variables to build up emission vulnerability based on potential fire severity and resistance of a landscape, value at risk and the hazard of a fire occurrence. The results classify low, moderate and high emission risks in the analysed areas. This identification of hotspots allows the prioritisation of fire prevention measures in a region to maximise the reduction of GHG emissions in the case of a fire event. This constitutes the first step in a holistic and consistent CC mitigation that not only considers anthropic GHG sources but also possible GHG emissions by forest fires that can be actively prevented, managed and reduced.< Réduire
Mots clés en anglais
greenhouse gas emissions
forest fires
emission vulnerability
carbon stocks
emission risk model
hazard
damage