Articles | Volume 22, issue 10
Research article
24 Oct 2022
Research article |  | 24 Oct 2022

Modelling ignition probability for human- and lightning-caused wildfires in Victoria, Australia

Annalie Dorph, Erica Marshall, Kate A. Parkins, and Trent D. Penman


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2022-52', Tomàs Artés Vivancos, 30 Mar 2022
    • AC1: 'Reply on RC1', Annalie Dorph, 19 May 2022
  • RC2: 'Comment on nhess-2022-52', Anonymous Referee #2, 10 Apr 2022
    • AC2: 'Reply on RC2', Annalie Dorph, 19 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (09 Jun 2022) by Ricardo Trigo
AR by Annalie Dorph on behalf of the Authors (07 Jul 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (21 Jul 2022) by Ricardo Trigo
RR by Anonymous Referee #2 (21 Jul 2022)
ED: Publish as is (23 Sep 2022) by Ricardo Trigo
Short summary
Wildfire spatial patterns are determined by fire ignition sources and vegetation fuel moisture. Fire ignitions can be mediated by humans (owing to proximity to human infrastructure) or caused by lightning (owing to fuel moisture, average annual rainfall and local weather). When moisture in dead vegetation is below 20 % the probability of a wildfire increases. The results of this research enable accurate spatial mapping of ignition probability to aid fire suppression efforts and future research.
Final-revised paper