125 citations as recorded by crossref.

1. Global patterns of interannual climate–fire relationships J. Abatzoglou et al. https://doi.org/10.1111/gcb.14405
2. How Will Deforestation and Vegetation Degradation Affect Global Fire Activity? C. Park et al. https://doi.org/10.1029/2020EF001786
3. A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas M. Campagnolo et al. https://doi.org/10.1016/j.rse.2020.112115
4. Human and climate drivers of global biomass burning variability E. Chuvieco et al. https://doi.org/10.1016/j.scitotenv.2021.146361
5. A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. https://doi.org/10.5194/gmd-10-4443-2017
6. Historical background and current developments for mapping burned area from satellite Earth observation E. Chuvieco et al. https://doi.org/10.1016/j.rse.2019.02.013
7. Assessing satellite-derived fire patches with functional diversity trait methods M. Moreno et al. https://doi.org/10.1016/j.rse.2020.111897
8. What controls fire size in the South American Gran Chaco? Exploring atmospheric and landscape drivers through Remote Sensing R. San Martín et al. https://doi.org/10.5194/nhess-26-1479-2026
9. The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions S. Rabin et al. https://doi.org/10.5194/gmd-10-1175-2017
10. Description and evaluation of the JULES-ES set-up for ISIMIP2b C. Mathison et al. https://doi.org/10.5194/gmd-16-4249-2023
11. Climate and fire drivers of forest composition and openness in the Changbai Mountains since the Late Glacial M. Meng et al. https://doi.org/10.1016/j.fecs.2023.100127
12. Shifts from climate-driven to human-influenced fire regimes in central China over the last two millennia M. Song et al. https://doi.org/10.1016/j.catena.2026.110341
13. Understanding and simulating cropland and non-cropland burning in Europe using the BASE (Burnt Area Simulator for Europe) model M. Forrest et al. https://doi.org/10.5194/bg-21-5539-2024
14. Wildfire aerosols and their impact on weather: A case study of the August 2021 fires in Greece using the WRF‐Chem model A. Rovithakis & A. Voulgarakis https://doi.org/10.1002/asl.1267
15. Recent Trends in Fire Regimes and Associated Territorial Features in a Fire-Prone Mediterranean Region F. Moreira et al. https://doi.org/10.3390/fire6020060
16. Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. https://doi.org/10.5194/acp-19-12545-2019
17. Climate, vegetation, people: disentangling the controls of fire at different timescales S. Harrison et al. https://doi.org/10.1098/rstb.2023.0464
18. Climate versus carbon dioxide controls on biomass burning: a model analysis of the glacial–interglacial contrast M. Martin Calvo et al. https://doi.org/10.5194/bg-11-6017-2014
19. The Proximal Drivers of Large Fires: A Pyrogeographic Study H. Clarke et al. https://doi.org/10.3389/feart.2020.00090
20. Air-Pollutant Emissions from Agricultural Burning in Mae Chaem Basin, Chiang Mai Province, Thailand N. Arunrat et al. https://doi.org/10.3390/atmos9040145
21. Fire Influences on Atmospheric Composition, Air Quality and Climate A. Voulgarakis & R. Field https://doi.org/10.1007/s40726-015-0007-z
22. Global high-resolution fire-sourced PM2.5 concentrations for 2000–2023 Y. Hu et al. https://doi.org/10.5194/essd-17-3741-2025
23. Improved estimates of preindustrial biomass burning reduce the magnitude of aerosol climate forcing in the Southern Hemisphere P. Liu et al. https://doi.org/10.1126/sciadv.abc1379
24. Anthropogenic effects on global mean fire size S. Hantson et al. https://doi.org/10.1071/WF14208
25. CBERS data cubes for land use and land cover mapping in the Brazilian Cerrado agricultural belt M. Chaves et al. https://doi.org/10.1080/01431161.2021.1978584
26. Evaluation of global fire simulations in CMIP6 Earth system models F. Li et al. https://doi.org/10.5194/gmd-17-8751-2024
27. Integrating public land fire data and satellite imagery improves fire frequency estimates across the landscape F. Charles et al. https://doi.org/10.1071/WF25076
28. The importance of antecedent vegetation and drought conditions as global drivers of burnt area A. Kuhn-Régnier et al. https://doi.org/10.5194/bg-18-3861-2021
29. Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations C. Reddington et al. https://doi.org/10.5194/acp-16-11083-2016
30. Determination of Fire Severity and Deduction of Influence Factors Through Landsat-8 Satellite Image Analysis¹ S. Lee et al. https://doi.org/10.13047/KJEE.2024.38.3.277
31. Spatiotemporal Analysis of Active Fires in the Arctic Region during 2001–2019 and a Fire Risk Assessment Model Z. Zhang et al. https://doi.org/10.3390/fire4030057
32. Climate and socioeconomic drivers of biomass burning and carbon emissions from fires in tropical dry forests: A Pantropical analysis R. Corona‐Núñez & J. Campo https://doi.org/10.1111/gcb.16516
33. An Analysis of the Influence of Annual Rainfall Fluctuations on Wildfire Occurrence in Protected Areas in the Northwest of Zimbabwe M. N. & I. M. https://doi.org/10.52589/AJENSR-DEYOLNL5
34. The status and challenge of global fire modelling S. Hantson et al. https://doi.org/10.5194/bg-13-3359-2016
35. Recent Advances and Remaining Uncertainties in Resolving Past and Future Climate Effects on Global Fire Activity A. Williams & J. Abatzoglou https://doi.org/10.1007/s40641-016-0031-0
36. Understanding and modelling wildfire regimes: an ecological perspective S. Harrison et al. https://doi.org/10.1088/1748-9326/ac39be
37. Drivers and impacts of Eastern African rainfall variability P. Palmer et al. https://doi.org/10.1038/s43017-023-00397-x
38. Effects of fire and CO2 on biogeography and primary production in glacial and modern climates M. Martin Calvo & I. Prentice https://doi.org/10.1111/nph.13485
39. Demographic controls of future global fire risk W. Knorr et al. https://doi.org/10.1038/nclimate2999
40. Development of a statistical model for global burned area simulation within a DGVM-compatible framework B. Kavhu et al. https://doi.org/10.5194/bg-22-7001-2025
41. Modeling long-term fire impact on ecosystem characteristics and surface energy using a process-based vegetation–fire model SSiB4/TRIFFID-Fire v1.0 H. Huang et al. https://doi.org/10.5194/gmd-13-6029-2020
42. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. https://doi.org/10.1029/2020RG000726
43. The response of wildfire regimes to Last Glacial Maximum carbon dioxide and climate O. Haas et al. https://doi.org/10.5194/bg-20-3981-2023
44. Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction G. Lasslop et al. https://doi.org/10.1111/gcb.15160
45. Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. https://doi.org/10.5194/bg-16-57-2019
46. Modelling of fire count data: fire disaster risk in Ghana C. Boadi et al. https://doi.org/10.1186/s40064-015-1585-3
47. Global environmental controls on wildfire burnt area, size, and intensity O. Haas et al. https://doi.org/10.1088/1748-9326/ac6a69
48. Tropical climate–vegetation–fire relationships: multivariate evaluation of the land surface model JSBACH G. Lasslop et al. https://doi.org/10.5194/bg-15-5969-2018
49. An Upper Pleistocene and Holocene Black Carbon‐Related Fire Record From the SW Balkans L. Wöstehoff et al. https://doi.org/10.1029/2022PA004579
50. Assessing anthropogenic influence on fire history during the Holocene in the Iberian Peninsula L. Sweeney et al. https://doi.org/10.1016/j.quascirev.2022.107562
51. Towards understanding the environmental and climatic changes and its contribution to the spread of wildfires in Ghana using remote sensing tools and machine learning (Google Earth Engine) K. Dahan et al. https://doi.org/10.1080/17538947.2023.2197263
52. Centennial-scale decline in global fire emissions driven by land use and population growth H. Zhang et al. https://doi.org/10.1016/j.gloplacha.2025.105081
53. Fire hazard modulation by long-term dynamics in land cover and dominant forest type in eastern and central Europe A. Feurdean et al. https://doi.org/10.5194/bg-17-1213-2020
54. INFERNO: a fire and emissions scheme for the UK Met Office's Unified Model S. Mangeon et al. https://doi.org/10.5194/gmd-9-2685-2016
55. What the past can say about the present and future of fire J. Marlon https://doi.org/10.1017/qua.2020.48
56. Recent global and regional trends in burned area and their compensating environmental controls M. Forkel et al. https://doi.org/10.1088/2515-7620/ab25d2
57. Drought triggers and sustains overnight fires in North America K. Luo et al. https://doi.org/10.1038/s41586-024-07028-5
58. Modelling the effects of CO2 on C3 and C4 grass competition during the mid-Pleistocene transition in South Africa M. Ecker et al. https://doi.org/10.1038/s41598-020-72614-2
59. Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. https://doi.org/10.5194/bg-16-3883-2019
60. A human-driven decline in global burned area N. Andela et al. https://doi.org/10.1126/science.aal4108
61. Synoptic-Scale Wildland Fire Weather Conditions in Mexico H. Hayasaka https://doi.org/10.3390/atmos15010096
62. Satellite versus ground-based estimates of burned area: A comparison between MODIS based burned area and fire agency reports over North America in 2007 S. Mangeon et al. https://doi.org/10.1177/2053019615588790
63. Why woody plant modularity through time and space must be integrated in fire research? M. Chiminazzo et al. https://doi.org/10.1093/aobpla/plad029
64. Effects of plant hydraulic traits on the flammability of live fine canopy fuels F. Scarff et al. https://doi.org/10.1111/1365-2435.13771
65. Achieving Brazil's Deforestation Target Will Reduce Fire and Deliver Air Quality and Public Health Benefits E. Butt et al. https://doi.org/10.1029/2022EF003048
66. The global drivers of wildfire O. Haas et al. https://doi.org/10.3389/fenvs.2024.1438262
67. How contemporary bioclimatic and human controls change global fire regimes D. Kelley et al. https://doi.org/10.1038/s41558-019-0540-7
68. The Reading Palaeofire Database: an expanded global resource to document changes in fire regimes from sedimentary charcoal records S. Harrison et al. https://doi.org/10.5194/essd-14-1109-2022
69. Fire weakens land carbon sinks before 1.5 °C C. Burton et al. https://doi.org/10.1038/s41561-024-01554-7
70. Assessing and explaining temporal deep learning models for wildfire danger prediction P. Becker et al. https://doi.org/10.1088/3049-4753/ae5aa0
71. A Revised Historical Fire Regime Analysis in Tunisia (1985–2010) from a Critical Analysis of the National Fire Database and Remote Sensing C. Belhadj-Khedher et al. https://doi.org/10.3390/f9020059
72. The biomass burning contribution to climate–carbon-cycle feedback S. Harrison et al. https://doi.org/10.5194/esd-9-663-2018
73. Solar controls of fire events during the past 600,000 years A. Kappenberg et al. https://doi.org/10.1016/j.quascirev.2019.02.008
74. FLAME 1.0: a novel approach for modelling burned area in the Brazilian biomes using the maximum entropy concept M. Barbosa et al. https://doi.org/10.5194/gmd-18-3533-2025
75. Relevance of earth observations of essential climate variables in wildfire adaptation S. Seitzinger et al. https://doi.org/10.1016/j.rse.2025.115082
76. State of Wildfires 2023–2024 M. Jones et al. https://doi.org/10.5194/essd-16-3601-2024
77. Enhancing carbon storage through proactively managing fire-prone coniferous mountain forests W. Guo et al. https://doi.org/10.1016/j.ecolmodel.2025.111332
78. Historical and future global burned area with changing climate and human demography C. Wu et al. https://doi.org/10.1016/j.oneear.2021.03.002
79. Climate drivers of global wildfire burned area M. Grillakis et al. https://doi.org/10.1088/1748-9326/ac5fa1
80. Effect of Socioeconomic Variables in Predicting Global Fire Ignition Occurrence T. Mukunga et al. https://doi.org/10.3390/fire6050197
81. A fire model with distinct crop, pasture, and non-agricultural burning: use of new data and a model-fitting algorithm for FINAL.1 S. Rabin et al. https://doi.org/10.5194/gmd-11-815-2018
82. Weekly cycles of global fires—Associations with religion, wealth and culture, and insights into anthropogenic influences on global climate N. Earl et al. https://doi.org/10.1002/2015GL066383
83. Small-scale livelihood and cultural fire: Global spatiotemporal characteristics, and gaps in data C. Smith et al. https://doi.org/10.1371/journal.pone.0339561
84. The effect of post-wildfire management practices on vegetation recovery: Insights from the Sapadere fire, Antalya, Türkiye C. Yıldız et al. https://doi.org/10.3389/feart.2023.1174155
85. Modeling the short-term fire effects on vegetation dynamics and surface energy in southern Africa using the improved SSiB4/TRIFFID-Fire model H. Huang et al. https://doi.org/10.5194/gmd-14-7639-2021
86. Towards an Integrated Approach to Wildfire Risk Assessment: When, Where, What and How May the Landscapes Burn E. Chuvieco et al. https://doi.org/10.3390/fire6050215
87. Fire–vegetation relationships during the last glacial cycle in a low mountain range (Eifel, Germany) A. Kappenberg et al. https://doi.org/10.1016/j.palaeo.2020.110140
88. Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model J. Teixeira et al. https://doi.org/10.5194/gmd-14-6515-2021
89. Regionally optimized fire parameterizations using feed-forward neural networks Y. Ham et al. https://doi.org/10.1088/1748-9326/ad984a
90. Spatiotemporal variation characteristics of global fires and their emissions H. Fan et al. https://doi.org/10.5194/acp-23-7781-2023
91. Thresholds of fire response to moisture and fuel load differ between tropical savannas and grasslands across continents S. Alvarado et al. https://doi.org/10.1111/geb.13034
92. Intraseasonal variability of greenhouse gas emission factors from biomass burning in the Brazilian Cerrado R. Vernooij et al. https://doi.org/10.5194/bg-18-1375-2021
93. Assessing climate change impacts on live fuel moisture and wildfire risk using a hydrodynamic vegetation model W. Ma et al. https://doi.org/10.5194/bg-18-4005-2021
94. Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake C. Wu et al. https://doi.org/10.1073/pnas.2101186119
95. Distinct latitudinal gradients define Holocene fire trends across the southeastern USA A. Tsalickis et al. https://doi.org/10.1016/j.quascirev.2024.109161
96. Reconstructing burnt area during the Holocene: an Iberian case study Y. Shen et al. https://doi.org/10.5194/cp-18-1189-2022
97. Impacts of global open-fire aerosols on direct radiative, cloud and surface-albedo effects simulated with CAM5 Y. Jiang et al. https://doi.org/10.5194/acp-16-14805-2016
98. Modelling the daily probability of wildfire occurrence in the contiguous United States T. Keeping et al. https://doi.org/10.1088/1748-9326/ad21b0
99. More than 17,000 tree species are at risk from rapid global change C. Boonman et al. https://doi.org/10.1038/s41467-023-44321-9
100. Air quality impacts of European wildfire emissions in a changing climate W. Knorr et al. https://doi.org/10.5194/acp-16-5685-2016
101. Reduction in global area burned and wildfire emissions since 1930s enhances carbon uptake by land V. Arora & J. Melton https://doi.org/10.1038/s41467-018-03838-0
102. Ice-core records of biomass burning M. Rubino et al. https://doi.org/10.1177/2053019615605117
103. Changes in European fire weather extremes and related atmospheric drivers T. Giannaros & G. Papavasileiou https://doi.org/10.1016/j.agrformet.2023.109749
104. Quantifying regional, time-varying effects of cropland and pasture on vegetation fire S. Rabin et al. https://doi.org/10.5194/bg-12-6591-2015
105. Global scale coupling of pyromes and fire regimes C. Pais et al. https://doi.org/10.1038/s43247-023-00881-8
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107. Calibration and Assessment of Burned Area Simulation Capability of the LPJ-WHyMe Model in Northeast China D. Yue et al. https://doi.org/10.3390/f10110992
108. Variability of fire emissions on interannual to multi-decadal timescales in two Earth System models D. Ward et al. https://doi.org/10.1088/1748-9326/11/12/125008
109. The moving of high emission for biomass burning in China: View from multi-year emission estimation and human-driven forces J. Wu et al. https://doi.org/10.1016/j.envint.2020.105812
110. Seasonality and post fire recovery in a wetland dominated region: Insights from satellite data analysis in northern Argentina G. Saucedo & D. Kurtz https://doi.org/10.1016/j.rsase.2025.101480
111. Observed changes in fire patterns and possible drivers over Central Africa Y. Jiang et al. https://doi.org/10.1088/1748-9326/ab9db2
112. Economic drivers of global fire activity: A critical review using the DPSIR framework Y. Kim et al. https://doi.org/10.1016/j.forpol.2021.102563
113. Human impact on wildfires varies between regions and with vegetation productivity G. Lasslop & S. Kloster https://doi.org/10.1088/1748-9326/aa8c82
114. Representation of fire, land-use change and vegetation dynamics in the Joint UK Land Environment Simulator vn4.9 (JULES) C. Burton et al. https://doi.org/10.5194/gmd-12-179-2019
115. Global intercomparison of functional pyrodiversity from two satellite sensors M. Moreno et al. https://doi.org/10.1080/01431161.2021.1999529
116. Forest fire vulnerability in Nepal's Chure region: Investigating the influencing factors using generalized linear model K. Joshi et al. https://doi.org/10.1016/j.heliyon.2024.e28525
117. Climate, CO2 and human population impacts on global wildfire emissions W. Knorr et al. https://doi.org/10.5194/bg-13-267-2016
118. Land-Cover Dependent Relationships between Fire and Soil Moisture A. Schaefer & B. Magi https://doi.org/10.3390/fire2040055
119. Changes in fire weather climatology under 1.5 °C and 2.0 °C warming R. Son et al. https://doi.org/10.1088/1748-9326/abe675
120. Sustainable development key to limiting climate change-driven wildfire damages Y. Hwong et al. https://doi.org/10.1088/2752-5295/adec11
121. Linking fire and the United Nations Sustainable Development Goals D. Martin https://doi.org/10.1016/j.scitotenv.2018.12.393
122. Human impacts and aridity differentially alter soilNavailability in drylands worldwide M. Delgado‐Baquerizo et al. https://doi.org/10.1111/geb.12382
123. Modelling and prediction of wind damage in forest ecosystems of the Sudety Mountains, SW Poland Ł. Pawlik & S. Harrison https://doi.org/10.1016/j.scitotenv.2021.151972
124. Future changes in climatic water balance determine potential for transformational shifts in Australian fire regimes M. Boer et al. https://doi.org/10.1088/1748-9326/11/6/065002
125. Wildfire air pollution hazard during the 21st century W. Knorr et al. https://doi.org/10.5194/acp-17-9223-2017