Autor(es):
Hsu, A. ; Jones, M.W. ; Thurgood, J.R. ; Smith, A.J.P. ; Carmenta, R. ; Abatzoglou, J.T. ; Anderson, L.O. ; Clarke, H. ; Doerr, S.H. ; Fernandes, P.M. ; Kolden, C.A. ; Santín, C. ; Strydom, T. ; Le Quéré, C. ; Ascoli, D. ; Castellnou, M. ; Goldammer, J.G. ; Guiomar, N. ; Kukavskaya, E.A. ; Rigolot, E. ; Tanpipat, V. ; Varner, M. ; Yamashita, Y. ; Baard, J. ; Barreto, R. ; Becerra, J. ; Brunn, E. ; Bergius, N. ; Carlsson, J. ; Cheney, C. ; Druce, D. ; Elliot, A. ; Evans, J. ; Falleiro, R.M. ; Prat-Guitart, N. ; Hiers, J.K. ; Kaiser, J.W. ; Macher, L. ; Morris, D. ; Park, J. ; Robles, C. ; Román-Cuesta, R.M. ; Rücker, G. ; Senra, F. ; Steil, L. ; Valverde, J.A.L. ; Zerr, E.
Data: 2025
Identificador Persistente: http://hdl.handle.net/10174/39079
Origem: Repositório Científico da Universidade de Évora
Assunto(s): Prescribed fire; Global dataset; Land management; Fire prevention; Fire management
Descrição
Prescribed burning (RxB) is a land management tool used widely for reducing wildfire hazard, restoring biodiversity, and managing natural resources. However, RxB can only be carried out safely and effectively under certain seasonal or weather conditions. Under climate change, shifts in the frequency and timing of these weather conditions are expected but analyses of climate change impacts have been restricted to select few regions partly due to a paucity of RxB records at global scale. Here, we introduce GlobalRx, a dataset including 204,517 RxB records from 1979–2023, covering 16 countries and 209 terrestrial ecoregions. For each record, we add a comprehensive suite of meteorological variables that are regularly used in RxB prescriptions by fire management agencies, such as temperature, humidity, and wind speed. We also characterise the environmental setting of each RxB, such as land cover and protected area status. GlobalRx enables the bioclimatic range of conditions suitable for RxB to be defined regionally, thus unlocking new potential to study shifting opportunities for RxB planning and implementation under future climate.
M.W.J. was funded by the UK Natural Environment Research Council (NE/V01417X/1). A.H. was funded by the programme Critical Decade for Climate Change Leverhulme Doctoral Scholars (DS-2020-028). J.R.T. and A.J.P.S. were funded by the European Commission Horizon 2020 (H2020) VERIFY project (no. 776810). SHD was supported by Natural Environment Research Council grant IDEAL Fire (NE/X005143/1) and the project FirEURisk, funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101003890). CAK was supported by the US Department of Agriculture NIFA (award 2022-67019-36435). RC was funded by the Marie Curie Network Grant (award 101086416), and the Tyndall Centre for Climate Change Research. HC was funded by the Westpac Scholars Trust via a Westpac Research Fellowship. YY was funded by KAKENHI (no. JP22H03714 and JP23K24969). GR received support through the ZIM program of the German Ministry of Economy, grant number 16KN052420. E.A.K. was funded by State Assignment Project # FWES-2024-0040. LOA was funded by the São Paulo Research Foundation (FAPESP)(projects: 2021/07660-2 and 2020/16457-3) and by the National Council for Scientific and Technological Development (CNPq) (project 409531/2021-9 and productivity scholarship process: 314473/2020-3). PMF was supported by National Funds from FCT - Portuguese Foundation for Science and Technology, under the project UIDB/04033/2020 (doi: 10.54499/UIDB/04033/2020). N.G. was funded by the European Union through the European Regional Development Fund in the framework of the Interreg V-A Spain–Portugal program (POCTEP) under the FIREPOCTEP+ (Ref. 0139_FIREPOCTEP_MAS_6_E) project and by National Funds through FCT under the projects UIDB/05183/2020, UIDP/05183/2020 and LA/P/0121/2020 (doi: 10.54499/UIDB/05183/2020; doi: 10.54499/UIDP/05183/2020; doi: 10.54499/LA/P/0121/2020) and European Union, Marie Curie Staff Exchange Grant (FIRE-ADAPT 101086416), Pau Costa Foundation [Prat-Guitart].
