the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A hydroclimatic model for the distribution of fire on Earth
Abstract. The distribution of fire on Earth has been monitored from space for several decades, yet the geography of global fire regimes has proven difficult to reproduce from interactions of climate, vegetation, terrain and land use by empirical and process-based fire models. Here, we propose a simple, yet robust, model for global fire potential based on fundamental biophysical constraints controlling fire activity in all biomes. In our top-down
approach we ignored the dynamics of individual fires and focus on capturing hydroclimatic constraints on the production and (seasonal) desiccation of fuels to predict the potential mean annual fractional burned area, here estimated by the 0.99 percentile of the observed mean annual fractional burned area (F0.99). We show that 80 % of the global variation in F0.99 can be explained from a combination of mean annual precipitation and potential evapotranspiration. The proposed hydroclimatic model reproduced observed fire activity levels equally well across all biomes and provided the first objective underpinning for the dichotomy of global fire regimes in two domains characterised by either fuel production limitations on fire or fuel dryness limitations on fire. A sharp transition between the two climate-fire domains was found to occur at a mean annual aridity index of 1.9 (1.94 ± 0.02). Our model provides a simple but comprehensive basis for predicting fire potential under current and future climates, as well as an overarching framework for estimating effects of human activity via ignition regimes and manipulation of vegetation.
- Preprint
(991 KB) - Metadata XML
- Revised submission
-
Supplement
(394 KB) - BibTeX
- EndNote
-
RC1: 'Review of bg-2019-441', Anonymous Referee #1, 19 Jan 2020
- AC1: 'AC1_Response_to_RC1', Matthias Boer, 16 Apr 2020
-
RC2: 'review of bg-2019-441', Anonymous Referee #2, 10 Mar 2020
- AC2: 'AC2_Response_to_RC2', Matthias Boer, 16 Apr 2020
-
RC1: 'Review of bg-2019-441', Anonymous Referee #1, 19 Jan 2020
- AC1: 'AC1_Response_to_RC1', Matthias Boer, 16 Apr 2020
-
RC2: 'review of bg-2019-441', Anonymous Referee #2, 10 Mar 2020
- AC2: 'AC2_Response_to_RC2', Matthias Boer, 16 Apr 2020
Viewed
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,309 | 296 | 62 | 1,667 | 153 | 56 | 60 |
- HTML: 1,309
- PDF: 296
- XML: 62
- Total: 1,667
- Supplement: 153
- BibTeX: 56
- EndNote: 60
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
Cited
5 citations as recorded by crossref.
- Appraising widespread resprouting but variable levels of postfire seeding in Australian ecosystems: the effect of phylogeny, fire regime and productivity M. Lawes et al. 10.1071/BT21110
- Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. 10.5194/gmd-13-3299-2020
- Forest Structure Drives Fuel Moisture Response across Alternative Forest States T. Brown et al. 10.3390/fire4030048
- The Proximal Drivers of Large Fires: A Pyrogeographic Study H. Clarke et al. 10.3389/feart.2020.00090
- Unprecedented burn area of Australian mega forest fires M. Boer et al. 10.1038/s41558-020-0716-1