Articles | Volume 21, issue 12
https://doi.org/10.5194/nhess-21-3663-2021
https://doi.org/10.5194/nhess-21-3663-2021
Research article
 | 
03 Dec 2021
Research article |  | 03 Dec 2021

Data-based wildfire risk model for Mediterranean ecosystems – case study of the Concepción metropolitan area in central Chile

Edilia Jaque Castillo, Alfonso Fernández, Rodrigo Fuentes Robles, and Carolina G. Ojeda

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-131', Paul Santi, 08 Jun 2021
  • RC2: 'Comment on nhess-2021-131', Damiano Vacha, 10 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (22 Oct 2021) by Mario Parise
AR by Alfonso Fernandez on behalf of the Authors (28 Oct 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (02 Nov 2021) by Mario Parise
AR by Alfonso Fernandez on behalf of the Authors (03 Nov 2021)
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Short summary
Wildfires pose risks to lives and livelihoods in many regions of the world. Particularly in Chile's central-south region, climate change, widespread land use change, and urban growth tend to increase the likelihood of fire occurrence. Our work focused on the Concepción metropolitan area, where we developed a model using machine learning in order to map wildfire risks. We found that the interface between urban areas and forestry plantations presents the highest risks.
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