Preprints
https://doi.org/10.5194/egusphere-2022-342
https://doi.org/10.5194/egusphere-2022-342
22 Jun 2022
 | 22 Jun 2022

Differentiating fire regimes and their biophysical drivers in Central Portugal

Rafaello Bergonse, Sandra Oliveira, José Luís Zêzere, Francisco Moreira, Paulo Flores Ribeiro, Miguel Leal, and José Manuel Lima e Santos

Abstract. The spatial and temporal patterns of wildfires and their effects over a given area can be described using the concept of fire regime. Here, we characterize fire regimes Central Portugal and investigate the degree to which the differences between regimes are influenced by a set of biophysical drivers. Using civil parishes as units of analysis, we employ three complementary parameters to describe the fire regime over a reference period of 44 years (1975–2018): cumulative percentage of parish area burned, Gini concentration index of burned area over time, and area-weighted total number of wildfires. Cluster analysis is used to aggregate parishes into groups with similar fire regime based on these parameters. A classification tree model is then used to assess the capacity of a set of potential biophysical drivers to discriminate between the different parish groups. Drivers included slope, summer temperature and spring rainfall, land use/land cover (LULC) type and patch fragmentation, and net primary productivity. Results allowed to distinguish four types of fire regime and show that these can be significantly differentiated using the biophysical drivers, of which LULC, slope and spring rainfall are the most important. Among LULC classes, shrubland and herbaceous vegetation play the foremost role, followed by agriculture. Our results highlight the importance of vegetation type, availability, and rate of regeneration, as well as that of topography, in influencing fire regimes in the study area, while suggesting that these regimes should be subject to specific wildfire prevention and mitigation policies.

Rafaello Bergonse, Sandra Oliveira, José Luís Zêzere, Francisco Moreira, Paulo Flores Ribeiro, Miguel Leal, and José Manuel Lima e Santos

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-342', Anonymous Referee #1, 13 Jul 2022
    • AC2: 'Reply on RC1', Rafaello Bergonse, 25 Jul 2022
  • RC2: 'Comment on egusphere-2022-342', Anonymous Referee #2, 18 Jul 2022
    • AC1: 'Reply on RC2', Rafaello Bergonse, 20 Jul 2022
  • RC3: 'Comment on egusphere-2022-342', Anonymous Referee #3, 04 Aug 2022
    • AC3: 'Reply on RC3', Rafaello Bergonse, 15 Sep 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-342', Anonymous Referee #1, 13 Jul 2022
    • AC2: 'Reply on RC1', Rafaello Bergonse, 25 Jul 2022
  • RC2: 'Comment on egusphere-2022-342', Anonymous Referee #2, 18 Jul 2022
    • AC1: 'Reply on RC2', Rafaello Bergonse, 20 Jul 2022
  • RC3: 'Comment on egusphere-2022-342', Anonymous Referee #3, 04 Aug 2022
    • AC3: 'Reply on RC3', Rafaello Bergonse, 15 Sep 2022
Rafaello Bergonse, Sandra Oliveira, José Luís Zêzere, Francisco Moreira, Paulo Flores Ribeiro, Miguel Leal, and José Manuel Lima e Santos

Data sets

Fire regime parameters and potential biophysical fire regime drivers - NUTS2 Centro, Portugal Bergonse, Rafaello; Oliveira, Sandra; Zêzere, José Luís; Moreira, Francisco; Ribeiro, Paulo Flores; Leal, Miguel; Lima e Santos, José Manuel https://doi.org/10.5281/zenodo.6552804

Rafaello Bergonse, Sandra Oliveira, José Luís Zêzere, Francisco Moreira, Paulo Flores Ribeiro, Miguel Leal, and José Manuel Lima e Santos

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Latest update: 28 Mar 2024
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Short summary
We distinguish fire regimes in Central Portugal and investigate the degree to which they are influenced by a set of biophysical drivers. Results show four fire regimes and indicate these can be differentiated using biophysical drivers, among which land use/land cover type, slope and spring rainfall are the foremost. Our results highlight the relations between vegetation (type, availability, and rate of regeneration) and topography with fire regimes in the study area.