114 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. 10.3390/rs13214295
2. Forest fire vulnerability in Nepal's Chure region: Investigating the influencing factors using generalized linear model K. Joshi et al. 10.1016/j.heliyon.2024.e28525
3. Opinion: The importance of historical and paleoclimate aerosol radiative effects N. Mahowald et al. 10.5194/acp-24-533-2024
4. Modeling the seasonal wildfire cycle and its possible effects on the distribution of focal species in Kermanshah Province, western Iran M. Morovati et al. 10.1371/journal.pone.0312552
5. Preindustrial-to-present-day changes in atmospheric carbon monoxide: agreement and gaps between ice archives and global model reconstructions X. Faïn et al. 10.5194/acp-25-1105-2025
6. Mapping fire regimes in China using MODIS active fire and burned area data D. Chen et al. 10.1016/j.apgeog.2017.05.013
7. Impacts of human disturbance in tropical dry forests increase with soil moisture stress R. Chaturvedi et al. 10.1111/jvs.12547
8. Global patterns of interannual climate–fire relationships J. Abatzoglou et al. 10.1111/gcb.14405
9. Strong winds drive grassland fires in China Z. Wang et al. 10.1088/1748-9326/aca921
10. A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. 10.5194/gmd-10-4443-2017
11. A global behavioural model of human fire use and management: WHAM! v1.0 O. Perkins et al. 10.5194/gmd-17-3993-2024
12. Future Fire Impacts on Smoke Concentrations, Visibility, and Health in the Contiguous United States B. Ford et al. 10.1029/2018GH000144
13. Wildfire air pollution hazard during the 21st century W. Knorr et al. 10.5194/acp-17-9223-2017
14. 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
15. Human-caused ignition pathways under climate change scenarios in Eastern Spain P. Gelabert et al. 10.1080/19475705.2025.2472864
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17. The response of wildfire regimes to Last Glacial Maximum carbon dioxide and climate O. Haas et al. 10.5194/bg-20-3981-2023
18. Historical and future fire occurrence (1850 to 2100) simulated in CMIP5 Earth System Models S. Kloster & G. Lasslop 10.1016/j.gloplacha.2016.12.017
19. The influence of thinning and prescribed burning on future forest fires in fire-prone regions of Europe S. Rabin et al. 10.1088/1748-9326/ac6312
20. Building a machine learning surrogate model for wildfire activities within a global Earth system model Q. Zhu et al. 10.5194/gmd-15-1899-2022
21. Relationship of the land status with forest and land fire disaster: case study in the Central Kalimantan Province B. Mulyanto et al. 10.1088/1755-1315/504/1/012014
22. 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. 10.1186/s13717-018-0150-8
23. Analysis of challenges, costs, and governance alternative for peatland restoration in Central Kalimantan, Indonesia D. Puspitaloka et al. 10.1016/j.tfp.2021.100131
24. Incorporating Anthropogenic Influences into Fire Probability Models: Effects of Human Activity and Climate Change on Fire Activity in California M. Mann et al. 10.1371/journal.pone.0153589
25. 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. 10.5194/gmd-7-2747-2014
26. Economic drivers of global fire activity: A critical review using the DPSIR framework Y. Kim et al. 10.1016/j.forpol.2021.102563
27. CLASH – Climate-responsive Land Allocation model with carbon Storage and Harvests T. Ekholm et al. 10.5194/gmd-17-3041-2024
28. Assessing fire hazard potential and its main drivers in Mazandaran province, Iran: a data-driven approach H. Adab et al. 10.1007/s10661-018-7052-1
29. Forest Fires: Why the Large Year-to-Year Variation in Forests Burned? J. Apt et al. 10.2139/ssrn.4589700
30. Landfire hazard assessment in the Caspian Hyrcanian forest ecoregion with the long-term MODIS active fire data H. Adab 10.1007/s11069-017-2850-2
31. Forest Fires: Why the Large Year-to-Year Variation in Forests Burned? J. Apt et al. 10.2139/ssrn.4592966
32. Anthropogenic effects on global mean fire size S. Hantson et al. 10.1071/WF14208
33. Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al. 10.1016/j.rse.2017.08.017
34. Climate, CO2 and human population impacts on global wildfire emissions W. Knorr et al. 10.5194/bg-13-267-2016
35. Particulate matter, air quality and climate: lessons learned and future needs S. Fuzzi et al. 10.5194/acp-15-8217-2015
36. Review article: Natural hazard risk assessments at the global scale P. Ward et al. 10.5194/nhess-20-1069-2020
37. Contrasting human influences and macro-environmental factors on fire activity inside and outside protected areas of North America N. Mansuy et al. 10.1088/1748-9326/ab1bc5
38. Quantifying the human influence on fire ignition across the westernUSA E. Fusco et al. 10.1002/eap.1395
39. 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 10.3390/ijgi14020045
40. Europe on fire three thousand years ago: Arson or climate? P. Zennaro et al. 10.1002/2015GL064259
41. The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions S. Rabin et al. 10.5194/gmd-10-1175-2017
42. Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables M. Dantas de Paula et al. 10.1080/17538947.2019.1597187
43. Welfare in the 21st century: Increasing development, reducing inequality, the impact of climate change, and the cost of climate policies B. Lomborg 10.1016/j.techfore.2020.119981
44. 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. 10.1002/2015JG003036
45. The Potential of Agricultural Conversion to Shape Forest Fire Regimes in Mediterranean Landscapes N. Aquilué et al. 10.1007/s10021-019-00385-7
46. Fire Frequency and Related Land-Use and Land-Cover Changes in Indonesia’s Peatlands Y. Vetrita & M. Cochrane 10.3390/rs12010005
47. Determination of the nighttime light imagery for urban city population using DMSP-OLS methods in Istanbul Z. Ortakavak et al. 10.1007/s10661-020-08735-y
48. Tropospheric ozone radiative forcing uncertainty due to pre-industrial fire and biogenic emissions M. Rowlinson et al. 10.5194/acp-20-10937-2020
49. Modelling static fire hazard in a semi-arid region using frequency analysis H. Adab et al. 10.1071/WF13113
50. Human-caused fire occurrence modelling in perspective: a review S. Costafreda-Aumedes et al. 10.1071/WF17026
51. The biomass burning contribution to climate–carbon-cycle feedback S. Harrison et al. 10.5194/esd-9-663-2018
52. Linking fire and the United Nations Sustainable Development Goals D. Martin 10.1016/j.scitotenv.2018.12.393
53. 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. 10.1016/j.ecolind.2018.04.022
54. Reconstructing burnt area during the Holocene: an Iberian case study Y. Shen et al. 10.5194/cp-18-1189-2022
55. Present‐day and future contribution of climate and fires to vegetation composition in the boreal forest of China C. Wu et al. 10.1002/ecs2.1917
56. Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing D. Hamilton et al. 10.1038/s41467-018-05592-9
57. 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. 10.3389/ffgc.2020.00056
58. 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. 10.5194/gmd-11-815-2018
59. Assessing Wildfire Risk in South Korea Under Climate Change Using the Maximum Entropy Model and Shared Socioeconomic Pathway Scenarios J. Choi & H. Chae 10.3390/atmos16010005
60. Global landscape fire-sourced ambient benzene and health risks in different future scenarios W. Sun et al. 10.1016/j.envpol.2025.126314
61. Mapping the probability of wildland fire occurrence in Central America, and identifying the key factors M. Valdez et al. 10.1071/WF23080
62. Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. 10.5194/bg-16-3883-2019
63. Climate change and the eco‐hydrology of fire: Will area burned increase in a warming western USA? D. McKenzie & J. Littell 10.1002/eap.1420
64. Historical Southern Hemisphere biomass burning variability inferred from ice core carbon monoxide records I. Strawson et al. 10.1073/pnas.2402868121
65. Regional Variability and Driving Forces behind Forest Fires in Sweden R. Cimdins et al. 10.3390/rs14225826
66. How contemporary bioclimatic and human controls change global fire regimes D. Kelley et al. 10.1038/s41558-019-0540-7
67. SMLFire1.0: a stochastic machine learning (SML) model for wildfire activity in the western United States J. Buch et al. 10.5194/gmd-16-3407-2023
68. Hunter-gatherer impact on European interglacial vegetation: A modelling approach A. Nikulina et al. 10.1016/j.quascirev.2023.108439
69. Mortality due to Vegetation Fire–Originated PM 2.5 Exposure in Europe—Assessment for the Years 2005 and 2008 V. Kollanus et al. 10.1289/EHP194
70. Causal relationships versus emergent patterns in the global controls of fire frequency I. Bistinas et al. 10.5194/bg-11-5087-2014
71. The global drivers of wildfire O. Haas et al. 10.3389/fenvs.2024.1438262
72. Human impact on wildfires varies between regions and with vegetation productivity G. Lasslop & S. Kloster 10.1088/1748-9326/aa8c82
73. 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. 10.1360/N072021-0358
74. 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
75. Indexing the vegetated surfaces within WUI by their wildfire ignition and spreading capacity, a comparative case from developing metropolitan areas A. Hysa 10.1016/j.ijdrr.2021.102434
76. Theoretical uncertainties for global satellite-derived burned area estimates J. Brennan et al. 10.5194/bg-16-3147-2019
77. Land Use Change Impacts on Air Quality and Climate C. Heald & D. Spracklen 10.1021/cr500446g
78. Influences of climate fluctuations on northeastern North America’s burned areas largely outweigh those of European settlement since AD 1850 V. Danneyrolles et al. 10.1088/1748-9326/ac2ce7
79. Weekly cycles of global fires—Associations with religion, wealth and culture, and insights into anthropogenic influences on global climate N. Earl et al. 10.1002/2015GL066383
80. The spatially varying influence of humans on fire probability in North America M. Parisien et al. 10.1088/1748-9326/11/7/075005
81. A Global Index for Mapping the Exposure of Water Resources to Wildfire F. Robinne et al. 10.3390/f7010022
82. Investigating Drought Events and Their Consequences in Wildfires: An Application in China S. Yang et al. 10.3390/fire6060223
83. Trends and Variability of Global Fire Emissions Due To Historical Anthropogenic Activities D. Ward et al. 10.1002/2017GB005787
84. Fire Dynamics in Boreal Forests Over the 20th Century: A Data-Model Comparison C. Molinari et al. 10.3389/fevo.2021.728958
85. Developing novel machine-learning-based fire weather indices A. Shmuel & E. Heifetz 10.1088/2632-2153/acc008
86. A comprehensive review on coupled processes and mechanisms of soil-vegetation-hydrology, and recent research advances Z. Li et al. 10.1007/s11430-021-9990-5
87. The implications of seasonal climatic effects for managing disturbance dependent populations under a changing climate B. Hindle et al. 10.1111/1365-2745.14143
88. Temperature and agriculture are largely associated with fire activity in Central Chile across different temporal periods S. Gómez-González et al. 10.1016/j.foreco.2018.11.041
89. Air quality impacts of European wildfire emissions in a changing climate W. Knorr et al. 10.5194/acp-16-5685-2016
90. Global trends in wildfire and its impacts: perceptions versus realities in a changing world S. Doerr & C. Santín 10.1098/rstb.2015.0345
91. Climate and socioeconomic drivers of biomass burning and carbon emissions from fires in tropical dry forests: A Pantropical analysis R. Corona‐Núñez & J. Campo 10.1111/gcb.16516
92. Fire hazard modulation by long-term dynamics in land cover and dominant forest type in eastern and central Europe A. Feurdean et al. 10.5194/bg-17-1213-2020
93. Southern Hemisphere atmospheric history of carbon monoxide over the late Holocene reconstructed from multiple Antarctic ice archives X. Faïn et al. 10.5194/cp-19-2287-2023
94. Recent global and regional trends in burned area and their compensating environmental controls M. Forkel et al. 10.1088/2515-7620/ab25d2
95. Modelling the drivers of natural fire activity: the bias created by cropland fires İ. Bekar & Ç. Tavşanoğlu 10.1071/WF16183
96. What the past can say about the present and future of fire J. Marlon 10.1017/qua.2020.48
97. A comprehensive evaluation of hydrological processes in a second‐generation dynamic vegetation model H. Zhou et al. 10.1002/hyp.15152
98. Climate, vegetation, people: disentangling the controls of fire at different timescales S. Harrison et al. 10.1098/rstb.2023.0464
99. Demographic controls of future global fire risk W. Knorr et al. 10.1038/nclimate2999
100. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
101. Wildland fire risk research in Canada L. Johnston et al. 10.1139/er-2019-0046
102. 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. 10.1029/2022EF003353
103. Global combustion: the connection between fossil fuel and biomass burning emissions (1997–2010) J. Balch et al. 10.1098/rstb.2015.0177
104. 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. 10.5194/gmd-10-3329-2017
105. Recent Advances and Remaining Uncertainties in Resolving Past and Future Climate Effects on Global Fire Activity A. Williams & J. Abatzoglou 10.1007/s40641-016-0031-0
106. Understanding and modelling wildfire regimes: an ecological perspective S. Harrison et al. 10.1088/1748-9326/ac39be
107. Global environmental controls on wildfire burnt area, size, and intensity O. Haas et al. 10.1088/1748-9326/ac6a69
108. PAHs in the atmospheric aerosols and seawater in the North–West Pacific ocean and sea of Japan A. Neroda et al. 10.1016/j.atmosenv.2019.117117
109. Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
110. Climate change impact on future wildfire danger and activity in southern Europe: a review J. Dupuy et al. 10.1007/s13595-020-00933-5
111. Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima M. Joseph et al. 10.1002/eap.1898
112. Historical patterns of wildfire ignition sources in California ecosystems J. Keeley & A. Syphard 10.1071/WF18026
113. Forest fire and its key drivers in the tropical forests of northern Vietnam P. Trang et al. 10.1071/WF21078
114. Changing fire regimes in East and Southern Africa’s savanna-protected areas: opportunities and challenges for indigenous-led savanna burning emissions abatement schemes A. Croker et al. 10.1186/s42408-023-00215-1