127 citations as recorded by crossref.

1. Implementation of the Burned Area Component of the Copernicus Climate Change Service: From MODIS to OLCI Data J. Lizundia-Loiola et al. https://doi.org/10.3390/rs13214295
2. Modelling wildfire and post-fire carbon budgets of a boreal forest under a changing climate M. Islam et al. https://doi.org/10.1016/j.gloplacha.2025.105230
3. 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
4. Opinion: The importance of historical and paleoclimate aerosol radiative effects N. Mahowald et al. https://doi.org/10.5194/acp-24-533-2024
5. Modeling the seasonal wildfire cycle and its possible effects on the distribution of focal species in Kermanshah Province, western Iran M. Morovati et al. https://doi.org/10.1371/journal.pone.0312552
6. Preindustrial-to-present-day changes in atmospheric carbon monoxide: agreement and gaps between ice archives and global model reconstructions X. Faïn et al. https://doi.org/10.5194/acp-25-1105-2025
7. Mapping fire regimes in China using MODIS active fire and burned area data D. Chen et al. https://doi.org/10.1016/j.apgeog.2017.05.013
8. Global high-resolution fire-sourced PM2.5 concentrations for 2000–2023 Y. Hu et al. https://doi.org/10.5194/essd-17-3741-2025
9. Impacts of human disturbance in tropical dry forests increase with soil moisture stress R. Chaturvedi et al. https://doi.org/10.1111/jvs.12547
10. Global patterns of interannual climate–fire relationships J. Abatzoglou et al. https://doi.org/10.1111/gcb.14405
11. Strong winds drive grassland fires in China Z. Wang et al. https://doi.org/10.1088/1748-9326/aca921
12. ELM2.1-XGBfire1.0: improving wildfire prediction by integrating a machine learning fire model in a land surface model Y. Liu et al. https://doi.org/10.5194/gmd-18-4103-2025
13. 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
14. A global behavioural model of human fire use and management: WHAM! v1.0 O. Perkins et al. https://doi.org/10.5194/gmd-17-3993-2024
15. Future Fire Impacts on Smoke Concentrations, Visibility, and Health in the Contiguous United States B. Ford et al. https://doi.org/10.1029/2018GH000144
16. Wildfire air pollution hazard during the 21st century W. Knorr et al. https://doi.org/10.5194/acp-17-9223-2017
17. Arctic Oscillation and Pacific-North American pattern dominated-modulation of fire danger and wildfire occurrence F. Justino et al. https://doi.org/10.1038/s41612-022-00274-2
18. Human-caused ignition pathways under climate change scenarios in Eastern Spain P. Gelabert et al. https://doi.org/10.1080/19475705.2025.2472864
19. The status and challenge of global fire modelling S. Hantson et al. https://doi.org/10.5194/bg-13-3359-2016
20. 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
21. Historical and future fire occurrence (1850 to 2100) simulated in CMIP5 Earth System Models S. Kloster & G. Lasslop https://doi.org/10.1016/j.gloplacha.2016.12.017
22. Comparison of simulations from a state-of-the-art dynamic global vegetation model (LPJ-GUESS) driven by low- and high-resolution climate data D. Otryakhin et al. https://doi.org/10.5194/gmd-18-9101-2025
23. The influence of thinning and prescribed burning on future forest fires in fire-prone regions of Europe S. Rabin et al. https://doi.org/10.1088/1748-9326/ac6312
24. Building a machine learning surrogate model for wildfire activities within a global Earth system model Q. Zhu et al. https://doi.org/10.5194/gmd-15-1899-2022
25. Relationship of the land status with forest and land fire disaster: case study in the Central Kalimantan Province B. Mulyanto et al. https://doi.org/10.1088/1755-1315/504/1/012014
26. Effect of spring grass fires on vegetation patterns and soil quality in abandoned agricultural lands at local and landscape scales in Central European Russia L. Khanina et al. https://doi.org/10.1186/s13717-018-0150-8
27. Analysis of challenges, costs, and governance alternative for peatland restoration in Central Kalimantan, Indonesia D. Puspitaloka et al. https://doi.org/10.1016/j.tfp.2021.100131
28. Incorporating Anthropogenic Influences into Fire Probability Models: Effects of Human Activity and Climate Change on Fire Activity in California M. Mann et al. https://doi.org/10.1371/journal.pone.0153589
29. Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 1: simulating historical global burned area and fire regimes C. Yue et al. https://doi.org/10.5194/gmd-7-2747-2014
30. 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
31. CLASH – Climate-responsive Land Allocation model with carbon Storage and Harvests T. Ekholm et al. https://doi.org/10.5194/gmd-17-3041-2024
32. Assessing fire hazard potential and its main drivers in Mazandaran province, Iran: a data-driven approach H. Adab et al. https://doi.org/10.1007/s10661-018-7052-1
33. Fire susceptibility assessment in the Carpathians using an interpretable framework M. Manczinger et al. https://doi.org/10.1038/s41598-025-10296-4
34. Landfire hazard assessment in the Caspian Hyrcanian forest ecoregion with the long-term MODIS active fire data H. Adab https://doi.org/10.1007/s11069-017-2850-2
35. Anthropogenic effects on global mean fire size S. Hantson et al. https://doi.org/10.1071/WF14208
36. Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al. https://doi.org/10.1016/j.rse.2017.08.017
37. Climate, CO2 and human population impacts on global wildfire emissions W. Knorr et al. https://doi.org/10.5194/bg-13-267-2016
38. Particulate matter, air quality and climate: lessons learned and future needs S. Fuzzi et al. https://doi.org/10.5194/acp-15-8217-2015
39. Review article: Natural hazard risk assessments at the global scale P. Ward et al. https://doi.org/10.5194/nhess-20-1069-2020
40. Contrasting human influences and macro-environmental factors on fire activity inside and outside protected areas of North America N. Mansuy et al. https://doi.org/10.1088/1748-9326/ab1bc5
41. Quantifying the human influence on fire ignition across the westernUSA E. Fusco et al. https://doi.org/10.1002/eap.1395
42. Correlation Characteristics Between Urban Fires and Urban Functional Spaces: A Study Based on Point of Interest Data and Ripley’s K-Function Y. Xiong & G. Li https://doi.org/10.3390/ijgi14020045
43. Europe on fire three thousand years ago: Arson or climate? P. Zennaro et al. https://doi.org/10.1002/2015GL064259
44. 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
45. Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables M. Dantas de Paula et al. https://doi.org/10.1080/17538947.2019.1597187
46. Welfare in the 21st century: Increasing development, reducing inequality, the impact of climate change, and the cost of climate policies B. Lomborg https://doi.org/10.1016/j.techfore.2020.119981
47. Sensitivity of burned area in Europe to climate change, atmospheric CO2 levels, and demography: A comparison of two fire‐vegetation models M. Wu et al. https://doi.org/10.1002/2015JG003036
48. The Potential of Agricultural Conversion to Shape Forest Fire Regimes in Mediterranean Landscapes N. Aquilué et al. https://doi.org/10.1007/s10021-019-00385-7
49. Fire Frequency and Related Land-Use and Land-Cover Changes in Indonesia’s Peatlands Y. Vetrita & M. Cochrane https://doi.org/10.3390/rs12010005
50. Forest fire dynamics in Nepal: Regional trends and socio-ecological drivers K. Joshi et al. https://doi.org/10.1016/j.tfp.2025.100942
51. Determination of the nighttime light imagery for urban city population using DMSP-OLS methods in Istanbul Z. Ortakavak et al. https://doi.org/10.1007/s10661-020-08735-y
52. Relevance of earth observations of essential climate variables in wildfire adaptation S. Seitzinger et al. https://doi.org/10.1016/j.rse.2025.115082
53. Tropospheric ozone radiative forcing uncertainty due to pre-industrial fire and biogenic emissions M. Rowlinson et al. https://doi.org/10.5194/acp-20-10937-2020
54. Uncovering open biomass burning practices in East Africa (2013−2022) using data mining for evidence-based policy development Y. Tesfaldet et al. https://doi.org/10.1016/j.gloplacha.2026.105358
55. Influence of wind speed on the global variability of burned fraction: a global fire model’s perspective G. Lasslop et al. https://doi.org/10.1071/WF15052
56. Modelling static fire hazard in a semi-arid region using frequency analysis H. Adab et al. https://doi.org/10.1071/WF13113
57. Human-caused fire occurrence modelling in perspective: a review S. Costafreda-Aumedes et al. https://doi.org/10.1071/WF17026
58. The biomass burning contribution to climate–carbon-cycle feedback S. Harrison et al. https://doi.org/10.5194/esd-9-663-2018
59. A Paleoclimate-Compatible Framework for Modeling Lightning-Caused Ignition Probability in Alaska C. Uden et al. https://doi.org/10.3390/atmos17050490
60. Linking fire and the United Nations Sustainable Development Goals D. Martin https://doi.org/10.1016/j.scitotenv.2018.12.393
61. Fire regimes at the arid fringe: A 16-year remote sensing perspective (2000–2016) on the controls of fire activity in Namibia from spatial predictive models M. Mayr et al. https://doi.org/10.1016/j.ecolind.2018.04.022
62. Reconstructing burnt area during the Holocene: an Iberian case study Y. Shen et al. https://doi.org/10.5194/cp-18-1189-2022
63. Present‐day and future contribution of climate and fires to vegetation composition in the boreal forest of China C. Wu et al. https://doi.org/10.1002/ecs2.1917
64. Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing D. Hamilton et al. https://doi.org/10.1038/s41467-018-05592-9
65. Sustainable development key to limiting climate change-driven wildfire damages Y. Hwong et al. https://doi.org/10.1088/2752-5295/adec11
66. Reviewing Fire, Climate, Deer, and Foundation Species as Drivers of Historically Open Oak and Pine Forests and Transition to Closed Forests B. Hanberry et al. https://doi.org/10.3389/ffgc.2020.00056
67. 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
68. Assessing Wildfire Risk in South Korea Under Climate Change Using the Maximum Entropy Model and Shared Socioeconomic Pathway Scenarios J. Choi & H. Chae https://doi.org/10.3390/atmos16010005
69. Global landscape fire-sourced ambient benzene and health risks in different future scenarios W. Sun et al. https://doi.org/10.1016/j.envpol.2025.126314
70. Mapping the probability of wildland fire occurrence in Central America, and identifying the key factors M. Valdez et al. https://doi.org/10.1071/WF23080
71. 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
72. Climate change and the eco‐hydrology of fire: Will area burned increase in a warming western USA? D. McKenzie & J. Littell https://doi.org/10.1002/eap.1420
73. Historical Southern Hemisphere biomass burning variability inferred from ice core carbon monoxide records I. Strawson et al. https://doi.org/10.1073/pnas.2402868121
74. Regional Variability and Driving Forces behind Forest Fires in Sweden R. Cimdins et al. https://doi.org/10.3390/rs14225826
75. How contemporary bioclimatic and human controls change global fire regimes D. Kelley et al. https://doi.org/10.1038/s41558-019-0540-7
76. A Real-Time 2D Spatiotemporal Fire Spread Forecasting Artificial Intelligence Agent Y. Kim et al. https://doi.org/10.3390/fire9030137
77. SMLFire1.0: a stochastic machine learning (SML) model for wildfire activity in the western United States J. Buch et al. https://doi.org/10.5194/gmd-16-3407-2023
78. Hunter-gatherer impact on European interglacial vegetation: A modelling approach A. Nikulina et al. https://doi.org/10.1016/j.quascirev.2023.108439
79. Mortality due to Vegetation Fire–Originated PM2.5 Exposure in Europe—Assessment for the Years 2005 and 2008 V. Kollanus et al. https://doi.org/10.1289/EHP194
80. Causal relationships versus emergent patterns in the global controls of fire frequency I. Bistinas et al. https://doi.org/10.5194/bg-11-5087-2014
81. The global drivers of wildfire O. Haas et al. https://doi.org/10.3389/fenvs.2024.1438262
82. Human impact on wildfires varies between regions and with vegetation productivity G. Lasslop & S. Kloster https://doi.org/10.1088/1748-9326/aa8c82
83. 土壤<bold>-</bold>植被<bold>-</bold>水文耦合过程与机制研究进展 中. 李 et al. https://doi.org/10.1360/N072021-0358
84. 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. https://doi.org/10.5194/gmd-12-89-2019
85. Indexing the vegetated surfaces within WUI by their wildfire ignition and spreading capacity, a comparative case from developing metropolitan areas A. Hysa https://doi.org/10.1016/j.ijdrr.2021.102434
86. Theoretical uncertainties for global satellite-derived burned area estimates J. Brennan et al. https://doi.org/10.5194/bg-16-3147-2019
87. Land Use Change Impacts on Air Quality and Climate C. Heald & D. Spracklen https://doi.org/10.1021/cr500446g
88. Influences of climate fluctuations on northeastern North America’s burned areas largely outweigh those of European settlement since AD 1850 V. Danneyrolles et al. https://doi.org/10.1088/1748-9326/ac2ce7
89. 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
90. The spatially varying influence of humans on fire probability in North America M. Parisien et al. https://doi.org/10.1088/1748-9326/11/7/075005
91. A Global Index for Mapping the Exposure of Water Resources to Wildfire F. Robinne et al. https://doi.org/10.3390/f7010022
92. Investigating Drought Events and Their Consequences in Wildfires: An Application in China S. Yang et al. https://doi.org/10.3390/fire6060223
93. Trends and Variability of Global Fire Emissions Due To Historical Anthropogenic Activities D. Ward et al. https://doi.org/10.1002/2017GB005787
94. Fire Dynamics in Boreal Forests Over the 20th Century: A Data-Model Comparison C. Molinari et al. https://doi.org/10.3389/fevo.2021.728958
95. Developing novel machine-learning-based fire weather indices A. Shmuel & E. Heifetz https://doi.org/10.1088/2632-2153/acc008
96. Up in flames: the human factor behind a megafire in Mediterranean Türkiye B. Ekberzade et al. https://doi.org/10.1038/s44304-025-00120-4
97. Ecoregion-specific variation in predictor importance for wildfire presence within and outside the wildland–urban interface in Alaska X. Liang & D. Liu https://doi.org/10.1088/2515-7620/ae967f
98. 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
99. The impact of changing forest composition in Europe - longest carbon turnover time in unmanaged and broadleaved deciduous forests A. Ferretto et al. https://doi.org/10.1371/journal.pone.0334118
100. A comprehensive review on coupled processes and mechanisms of soil-vegetation-hydrology, and recent research advances Z. Li et al. https://doi.org/10.1007/s11430-021-9990-5
101. The implications of seasonal climatic effects for managing disturbance dependent populations under a changing climate B. Hindle et al. https://doi.org/10.1111/1365-2745.14143
102. Temperature and agriculture are largely associated with fire activity in Central Chile across different temporal periods S. Gómez-González et al. https://doi.org/10.1016/j.foreco.2018.11.041
103. Air quality impacts of European wildfire emissions in a changing climate W. Knorr et al. https://doi.org/10.5194/acp-16-5685-2016
104. Global trends in wildfire and its impacts: perceptions versus realities in a changing world S. Doerr & C. Santín https://doi.org/10.1098/rstb.2015.0345
105. 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
106. 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
107. Southern Hemisphere atmospheric history of carbon monoxide over the late Holocene reconstructed from multiple Antarctic ice archives X. Faïn et al. https://doi.org/10.5194/cp-19-2287-2023
108. 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
109. Climate Extremes, Vegetation, and Lightning: Regional Fire Drivers Across Eurasia and North America F. Justino et al. https://doi.org/10.3390/fire8070282
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114. Assessing and explaining temporal deep learning models for wildfire danger prediction P. Becker et al. https://doi.org/10.1088/3049-4753/ae5aa0
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117. Wildland fire risk research in Canada L. Johnston et al. https://doi.org/10.1139/er-2019-0046
118. Pre‐Industrial, Present and Future Atmospheric Soluble Iron Deposition and the Role of Aerosol Acidity and Oxalate Under CMIP6 Emissions E. Bergas‐Massó et al. https://doi.org/10.1029/2022EF003353
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120. Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015) M. van Marle et al. https://doi.org/10.5194/gmd-10-3329-2017
121. Savanna ecosystem structure and productivity along a rainfall gradient: the role of competition and stress tolerance mediated by plant functional traits P. Paudel et al. https://doi.org/10.5194/bg-22-6153-2025
122. 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
123. Including prescribed burning in fire modelling: A case study from the Brazilian Cerrado using the JULES-INFERNO model R. da Veiga et al. https://doi.org/10.1016/j.pyro.2026.100006
124. Understanding and modelling wildfire regimes: an ecological perspective S. Harrison et al. https://doi.org/10.1088/1748-9326/ac39be
125. Global environmental controls on wildfire burnt area, size, and intensity O. Haas et al. https://doi.org/10.1088/1748-9326/ac6a69
126. PAHs in the atmospheric aerosols and seawater in the North–West Pacific ocean and sea of Japan A. Neroda et al. https://doi.org/10.1016/j.atmosenv.2019.117117
127. 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