Exploring spatial–temporal dynamics of fire regime features in mainland Spain

Jiménez-Ruano, Adrián; Rodrigues Mimbrero, Marcos; de la Riva Fernández, Juan

doi:https://doi.org/10.5194/nhess-17-1697-2017

Articles | Volume 17, issue 10

https://doi.org/10.5194/nhess-17-1697-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-17-1697-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 10

Research article

|

04 Oct 2017

Research article |

| 04 Oct 2017

Exploring spatial–temporal dynamics of fire regime features in mainland Spain

Adrián Jiménez-Ruano, Marcos Rodrigues Mimbrero, and Juan de la Riva Fernández

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Final revised paper (published on 04 Oct 2017)
Preprint (discussion started on 29 May 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee report', Anonymous Referee #1, 22 Jul 2017
- AC1: 'Reply to Reviewer 1', Adrián Jiménez Ruano, 02 Aug 2017
RC2: 'Exploring spatial-temporal dynamics of fire regime features at mainland Spain Jiménez-Ruano et al. 2017', Anonymous Referee #2, 31 Jul 2017
- AC2: 'Reply to reviewer 2', Adrián Jiménez Ruano, 10 Aug 2017
RC3: 'Review of nhess-2017-173', Anonymous Referee #3, 24 Aug 2017
- AC3: 'Reply to Reviewer 3', Adrián Jiménez Ruano, 04 Sep 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish as is (25 Aug 2017) by Rosa Lasaponara

AR by Adrián Jiménez Ruano on behalf of the Authors (04 Sep 2017) Author's response Manuscript

Short summary

We explore spatial–temporal dynamics in fire regime features at different spatial levels, together with seasonal scales, from historical fire data (1974–2013). Temporal shifts in fire features are investigated by means of change point detection and trend analysis. Our results suggest that most fire features show remarkable shifts between the late 1980s and the first half of the 1990s, with high spatial and intra-annual variability. PCA enabled trends to be synthesized into four main components.