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2. 1982–2010 Trends of Light Use Efficiency and Inherent Water Use Efficiency in African vegetation: Sensitivity to Climate and Atmospheric CO2 Concentrations A. Traore et al. 10.3390/rs6098923
3. Wildfires Impact Assessment on PM Levels Using Generalized Additive Mixed Models G. Leone et al. 10.3390/atmos14020231
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7. The Influence of Wildfire Climate on Wildfire Incidence: The Case of Portugal M. Pereira et al. 10.3390/fire7070234
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10. The Signature of Climate in Annual Burned Area in Portugal C. DaCamara 10.3390/cli12090143
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19. Does large area burned mean a bad fire year? Comparing contemporary wildfire years to historical fire regimes informs the restoration task in fire-dependent forests D. Donato et al. 10.1016/j.foreco.2023.121372
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22. Modeling Fire Radiative Power Released by Vegetation Fires at the Global Scale Using a Two Generalized Pareto Tail Lognormal Body Distribution C. DaCamara et al. 10.2139/ssrn.4125271
23. Human Pyrogeography: A New Synergy of Fire, Climate and People is Reshaping Ecosystems across the Globe C. O’Connor et al. 10.1111/j.1749-8198.2011.00428.x
24. HESFIRE: a global fire model to explore the role of anthropogenic and weather drivers Y. Le Page et al. 10.5194/bg-12-887-2015
25. Global Fire Forecasts Using Both Large‐Scale Climate Indices and Local Meteorological Parameters H. Shen et al. 10.1029/2019GB006180
26. Direct and indirect impacts of wildfire on faunal communities of Mediterranean temporary ponds D. Cunillera‐Montcusí et al. 10.1111/fwb.13219
27. Wildfire activity in rainforests in western Patagonia linked to the Southern Annular Mode A. Holz & T. Veblen 10.1071/WF10121
28. Influence of El Niño on atmospheric CO 2 over the tropical Pacific Ocean: Findings from NASA’s OCO-2 mission A. Chatterjee et al. 10.1126/science.aam5776
29. Anthromes displaying evidence of weekly cycles in active fire data cover 70% of the global land surface J. Pereira et al. 10.1038/s41598-019-47678-4
30. Arctic Oscillation and Pacific-North American pattern dominated-modulation of fire danger and wildfire occurrence F. Justino et al. 10.1038/s41612-022-00274-2
31. Global observations of aerosol-cloud-precipitation-climate interactions D. Rosenfeld et al. 10.1002/2013RG000441
32. Recent changes and relations among drought, vegetation and wildfires in the Eastern Mediterranean: The case of Israel M. Turco et al. 10.1016/j.gloplacha.2016.09.002
33. A Structural Equation Model Analysis of Relationships among ENSO, Seasonal Descriptors and Wildfires M. Slocum et al. 10.1371/journal.pone.0075946
34. Modeling Regional-Scale Wildland Fire Emissions with the Wildland Fire Emissions Information System* N. French et al. 10.1175/EI-D-14-0002.1
35. Emissions of climate-altering species from open vegetation fires in the Mediterranean region - A review on methods and data R. Hundal et al. 10.1016/j.scitotenv.2024.177713
36. Spatiotemporal variation in fire occurrence in the state of Amazonas, Brazil, between 2003 and 2016 B. WHITE 10.1590/1809-4392201704522
37. Postglacial fire history and interactions with vegetation and climate in southwestern Yunnan Province of China X. Xiao et al. 10.5194/cp-13-613-2017
38. Assessing Terrestrial Ecosystem Resilience using Satellite Leaf Area Index J. Wu & S. Liang 10.3390/rs12040595
39. The temporal and spatial relationships between climatic parameters and fire occurrence in northeastern Iran S. Eskandari et al. 10.1016/j.ecolind.2020.106720
40. Biomass burning, humans and climate change in Southeast Asia D. Taylor 10.1007/s10531-009-9756-6
41. Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations S. Venevsky et al. 10.5194/gmd-12-89-2019
42. Recovery of temporary pond alpha and beta diversity after wildfire disturbance: the role of dispersal and recolonization processes D. Cunillera-Montcusí et al. 10.1080/20442041.2021.1993121
43. Ecological and climatic controls of modern wildfire activity patterns across southwestern South America A. Holz et al. 10.1890/ES12-00234.1
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45. Climatic and edaphic gradients predict variation in wildland fuel hazard in south‐eastern Australia S. McColl‐Gausden et al. 10.1111/ecog.04714
46. Holocene changes in fire frequency in the Daihai Lake region (north-central China): indications and implications for an important role of human activity X. Wang et al. 10.1016/j.quascirev.2012.10.033
47. Predicting Grassland Fire-Occurrence Probability in Inner Mongolia Autonomous Region, China C. Chang et al. 10.3390/rs15122999
48. The interannual variability of Africa's ecosystem productivity: a multi-model analysis U. Weber et al. 10.5194/bg-6-285-2009
49. Significant variations of trace gas composition and aerosol properties at Mt. Cimone during air mass transport from North Africa – contributions from wildfire emissions and mineral dust P. Cristofanelli et al. 10.5194/acp-9-4603-2009
50. Implications of changing climate for global wildland fire M. Flannigan et al. 10.1071/WF08187
51. Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal P. Palmer et al. 10.1038/s41467-019-11097-w
52. Decreasing causal impacts of El Niño–Southern Oscillation on future fire activities T. Le et al. 10.1016/j.scitotenv.2022.154031
53. Relationships between MODIS and ATSR fires and atmospheric variability in New Caledonia (SW Pacific) R. Barbero et al. 10.1029/2011JD015915
54. Generating Annual Fire Risk Maps Using Bayesian Hierarchical Models K. Turkman et al. 10.1080/15598608.2013.820158
55. Climate, Livestock, and Vegetation: What Drives Fire Increase in the Arid Ecosystems of Southern Russia? M. Dubinin et al. 10.1007/s10021-011-9427-9
56. Impact of ENSO on variability of global CO2 concentration retrievals from GOSAT and AIRS N. Ying & Q. Ye 10.1088/1755-1315/237/2/022009
57. Detection and monitoring of African vegetation fires using MSG-SEVIRI imagery M. Amraoui et al. 10.1016/j.rse.2009.12.019
58. Spatio-Temporal Marked Point Process Model to Understand Forest Fires in the Mediterranean Basin Ó. de Rivera et al. 10.1007/s13253-024-00617-x
59. Interannual to decadal climate variability of sea salt aerosols in the coupled climate model CESM1.0 L. Xu et al. 10.1002/2014JD022888
60. Analysis of spatial and temporal variations of carbon dioxide over China using SCIAMACHY satellite observations during 2003–2005 K. Wang et al. 10.1080/01431161.2010.517805
61. Ten years of global burned area products from spaceborne remote sensing—A review: Analysis of user needs and recommendations for future developments F. Mouillot et al. 10.1016/j.jag.2013.05.014
62. The climatology of extreme wildfires in Portugal, 1980–2018: Contributions to forecasting and preparedness M. Carmo et al. 10.1002/joc.7411
63. Survival and growth of cactus species after a wildfire in central Argentina: Differences among species and the effects of microenvironment characteristics V. Zupichiatti et al. 10.1111/aec.13102
64. A machine learning framework for multi-hazards modeling and mapping in a mountainous area S. Yousefi et al. 10.1038/s41598-020-69233-2
65. Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5) Y. Chen et al. 10.5194/essd-15-5227-2023
66. Power law correlations in time series of wild-land and forest fires in Brazil L. da Silva et al. 10.1080/01431161.2011.605086
67. Analysis of lightning-induced forest fires in Austria M. Müller et al. 10.1007/s00704-012-0653-7
68. Influence of local scale and oceanic teleconnections on regional fire danger and wildfire trends F. Justino et al. 10.1016/j.scitotenv.2023.163397
69. Global combustion: the connection between fossil fuel and biomass burning emissions (1997–2010) J. Balch et al. 10.1098/rstb.2015.0177
70. Global-scale statistical modelling of the radiative power released by vegetation fires using a doubly truncated lognormal body distribution with generalized Pareto tails C. DaCamara et al. 10.1016/j.physa.2023.129049
71. Accurate Quantification of Seasonal Rainfall and Associated Climate–Wildfire Relationships M. Slocum et al. 10.1175/2010JAMC2532.1
72. Heat waves in Portugal: Current regime, changes in future climate and impacts on extreme wildfires J. Parente et al. 10.1016/j.scitotenv.2018.03.044
73. Religious Affiliation Modulates Weekly Cycles of Cropland Burning in Sub-Saharan Africa J. Pereira et al. 10.1371/journal.pone.0139189
74. Analysing factors influencing fire frequency in Hwange National Park B. Kavhu & H. Ndaimani 10.1080/03736245.2021.1941219
75. Air quality impacts of the 2019–2020 Black Summer wildfires on Australian schools G. Di Virgilio et al. 10.1016/j.atmosenv.2021.118450
76. A joint framework for studying compound ecoclimatic events A. Bastos et al. 10.1038/s43017-023-00410-3
77. Sharp transitions in microclimatic conditions between savanna and forest in New Caledonia: Insights into the vulnerability of forest edges to fire T. Ibanez et al. 10.1111/aec.12015
78. Retrieving middle-infrared reflectance for burned area mapping in tropical environments using MODIS R. Libonati et al. 10.1016/j.rse.2009.11.018
79. An ENSO-induced aerosol dipole in the west-central Pacific and its potential feedback to ENSO evolution L. Xu & J. Yu 10.1007/s00382-018-4435-5
80. Future climate risk from compound events J. Zscheischler et al. 10.1038/s41558-018-0156-3
81. Seasonality of energy and water fluxes in a tropical moist forest in Vietnam O. Kuricheva et al. 10.1016/j.agrformet.2020.108268
82. Constraints on global fire activity vary across a resource gradient M. Krawchuk & M. Moritz 10.1890/09-1843.1
83. Global Pyrogeography: the Current and Future Distribution of Wildfire M. Krawchuk et al. 10.1371/journal.pone.0005102
84. Application of spectral analysis techniques in the intercomparison of aerosol data: 1. An EOF approach to analyze the spatial‐temporal variability of aerosol optical depth using multiple remote sensing data sets J. Li et al. 10.1002/jgrd.50686
85. Global night-time fire season timing and fire count trends using the ATSR instrument series O. Arino et al. 10.1016/j.rse.2011.05.025
86. El Niño–Southern Oscillation correlated aerosol Ångström exponent anomaly over the tropical Pacific discovered in satellite measurements J. Li et al. 10.1029/2011JD015733
87. The atmospheric electrical index for ENSO modoki: Is ENSO modoki one of the factors responsible for the warming trend slowdown? M. Kulkarni & D. Siingh 10.1038/srep24009