NAGIOS: RODERIC FUNCIONANDO

Development of a Model to Estimate the Risk of Emission of Greenhouse Gases from Forest Fires

Repositori DSpace/Manakin

IMPORTANT: Aquest repositori està en una versió antiga des del 3/12/2023. La nova instal.lació está en https://roderic.uv.es/

Development of a Model to Estimate the Risk of Emission of Greenhouse Gases from Forest Fires

dc.contributor.author	Lerma Arce, Victoria
dc.contributor.author	Carbó Valverde, Ester
dc.contributor.author	Gimeno García, Eugenia
dc.contributor.author	Aleix Amurrio, Rebeca
dc.date.accessioned	2023-05-29T13:52:59Z
dc.date.available	2023-05-29T13:52:59Z
dc.date.issued	2022
dc.identifier.citation	Lerma Arce, Victoria Carbó Valverde, Ester Gimeno García, Eugenia Aleix Amurrio, Rebeca 2022 Development of a Model to Estimate the Risk of Emission of Greenhouse Gases from Forest Fires Fire-Switzerland 6 1 8
dc.identifier.uri	https://hdl.handle.net/10550/87071
dc.description.abstract	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.
dc.language.iso	eng
dc.relation.ispartof	Fire-Switzerland, 2022, vol. 6, num. 1, p. 8
dc.subject	Home Influència del clima
dc.subject	Ecologia forestal
dc.subject	Canvis climàtics
dc.title	Development of a Model to Estimate the Risk of Emission of Greenhouse Gases from Forest Fires
dc.type	journal article
dc.date.updated	2023-05-29T13:52:59Z
dc.identifier.doi	10.3390/fire6010008
dc.identifier.idgrec	156381
dc.rights.accessRights	open access