108 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. Mapping fire regimes in China using MODIS active fire and burned area data D. Chen et al. 10.1016/j.apgeog.2017.05.013
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9. A global behavioural model of human fire use and management: WHAM! v1.0 O. Perkins et al. 10.5194/gmd-17-3993-2024
10. Future Fire Impacts on Smoke Concentrations, Visibility, and Health in the Contiguous United States B. Ford et al. 10.1029/2018GH000144
11. Wildfire air pollution hazard during the 21st century W. Knorr et al. 10.5194/acp-17-9223-2017
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16. 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
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18. 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
19. 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
20. Analysis of challenges, costs, and governance alternative for peatland restoration in Central Kalimantan, Indonesia D. Puspitaloka et al. 10.1016/j.tfp.2021.100131
21. 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
22. 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
23. Economic drivers of global fire activity: A critical review using the DPSIR framework Y. Kim et al. 10.1016/j.forpol.2021.102563
24. CLASH – Climate-responsive Land Allocation model with carbon Storage and Harvests T. Ekholm et al. 10.5194/gmd-17-3041-2024
25. 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
26. Forest Fires: Why the Large Year-to-Year Variation in Forests Burned? J. Apt et al. 10.2139/ssrn.4589700
27. 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
28. Forest Fires: Why the Large Year-to-Year Variation in Forests Burned? J. Apt et al. 10.2139/ssrn.4592966
29. Anthropogenic effects on global mean fire size S. Hantson et al. 10.1071/WF14208
30. Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al. 10.1016/j.rse.2017.08.017
31. Climate, CO<sub>2</sub> and human population impacts on global wildfire emissions W. Knorr et al. 10.5194/bg-13-267-2016
32. Particulate matter, air quality and climate: lessons learned and future needs S. Fuzzi et al. 10.5194/acp-15-8217-2015
33. Review article: Natural hazard risk assessments at the global scale P. Ward et al. 10.5194/nhess-20-1069-2020
34. 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
35. Quantifying the human influence on fire ignition across the westernUSA E. Fusco et al. 10.1002/eap.1395
36. Europe on fire three thousand years ago: Arson or climate? P. Zennaro et al. 10.1002/2015GL064259
37. 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
38. 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
39. 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
40. 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
41. The Potential of Agricultural Conversion to Shape Forest Fire Regimes in Mediterranean Landscapes N. Aquilué et al. 10.1007/s10021-019-00385-7
42. Fire Frequency and Related Land-Use and Land-Cover Changes in Indonesia’s Peatlands Y. Vetrita & M. Cochrane 10.3390/rs12010005
43. 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
44. Tropospheric ozone radiative forcing uncertainty due to pre-industrial fire and biogenic emissions M. Rowlinson et al. 10.5194/acp-20-10937-2020
45. Modelling static fire hazard in a semi-arid region using frequency analysis H. Adab et al. 10.1071/WF13113
46. Human-caused fire occurrence modelling in perspective: a review S. Costafreda-Aumedes et al. 10.1071/WF17026
47. The biomass burning contribution to climate–carbon-cycle feedback S. Harrison et al. 10.5194/esd-9-663-2018
48. Impact of Changes to the Atmospheric Soluble Iron Deposition Flux on Ocean Biogeochemical Cycles in the Anthropocene D. Hamilton et al. 10.1029/2019GB006448
49. Linking fire and the United Nations Sustainable Development Goals D. Martin 10.1016/j.scitotenv.2018.12.393
50. 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
51. Reconstructing burnt area during the Holocene: an Iberian case study Y. Shen et al. 10.5194/cp-18-1189-2022
52. 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
53. Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing D. Hamilton et al. 10.1038/s41467-018-05592-9
54. 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
55. 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
56. Mapping the probability of wildland fire occurrence in Central America, and identifying the key factors M. Valdez et al. 10.1071/WF23080
57. 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
58. 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
59. Historical Southern Hemisphere biomass burning variability inferred from ice core carbon monoxide records I. Strawson et al. 10.1073/pnas.2402868121
60. Regional Variability and Driving Forces behind Forest Fires in Sweden R. Cimdins et al. 10.3390/rs14225826
61. How contemporary bioclimatic and human controls change global fire regimes D. Kelley et al. 10.1038/s41558-019-0540-7
62. 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
63. Hunter-gatherer impact on European interglacial vegetation: A modelling approach A. Nikulina et al. 10.1016/j.quascirev.2023.108439
64. 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
65. Causal relationships versus emergent patterns in the global controls of fire frequency I. Bistinas et al. 10.5194/bg-11-5087-2014
66. The global drivers of wildfire O. Haas et al. 10.3389/fenvs.2024.1438262
67. Human impact on wildfires varies between regions and with vegetation productivity G. Lasslop & S. Kloster 10.1088/1748-9326/aa8c82
68. 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
69. 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
70. 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
71. Theoretical uncertainties for global satellite-derived burned area estimates J. Brennan et al. 10.5194/bg-16-3147-2019
72. Land Use Change Impacts on Air Quality and Climate C. Heald & D. Spracklen 10.1021/cr500446g
73. 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
74. 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
75. The spatially varying influence of humans on fire probability in North America M. Parisien et al. 10.1088/1748-9326/11/7/075005
76. A Global Index for Mapping the Exposure of Water Resources to Wildfire F. Robinne et al. 10.3390/f7010022
77. Investigating Drought Events and Their Consequences in Wildfires: An Application in China S. Yang et al. 10.3390/fire6060223
78. Trends and Variability of Global Fire Emissions Due To Historical Anthropogenic Activities D. Ward et al. 10.1002/2017GB005787
79. Fire Dynamics in Boreal Forests Over the 20th Century: A Data-Model Comparison C. Molinari et al. 10.3389/fevo.2021.728958
80. Developing novel machine-learning-based fire weather indices A. Shmuel & E. Heifetz 10.1088/2632-2153/acc008
81. 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
82. The implications of seasonal climatic effects for managing disturbance dependent populations under a changing climate B. Hindle et al. 10.1111/1365-2745.14143
83. 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
84. Air quality impacts of European wildfire emissions in a changing climate W. Knorr et al. 10.5194/acp-16-5685-2016
85. Global trends in wildfire and its impacts: perceptions versus realities in a changing world S. Doerr & C. Santín 10.1098/rstb.2015.0345
86. 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
87. 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
88. 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
89. Recent global and regional trends in burned area and their compensating environmental controls M. Forkel et al. 10.1088/2515-7620/ab25d2
90. Modelling the drivers of natural fire activity: the bias created by cropland fires İ. Bekar & Ç. Tavşanoğlu 10.1071/WF16183
91. What the past can say about the present and future of fire J. Marlon 10.1017/qua.2020.48
92. A comprehensive evaluation of hydrological processes in a second‐generation dynamic vegetation model H. Zhou et al. 10.1002/hyp.15152
93. Demographic controls of future global fire risk W. Knorr et al. 10.1038/nclimate2999
94. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
95. Wildland fire risk research in Canada L. Johnston et al. 10.1139/er-2019-0046
96. 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
97. Global combustion: the connection between fossil fuel and biomass burning emissions (1997–2010) J. Balch et al. 10.1098/rstb.2015.0177
98. 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
99. 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
100. Understanding and modelling wildfire regimes: an ecological perspective S. Harrison et al. 10.1088/1748-9326/ac39be
101. Global environmental controls on wildfire burnt area, size, and intensity O. Haas et al. 10.1088/1748-9326/ac6a69
102. 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
103. 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
104. Climate change impact on future wildfire danger and activity in southern Europe: a review J. Dupuy et al. 10.1007/s13595-020-00933-5
105. Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima M. Joseph et al. 10.1002/eap.1898
106. Historical patterns of wildfire ignition sources in California ecosystems J. Keeley & A. Syphard 10.1071/WF18026
107. Forest fire and its key drivers in the tropical forests of northern Vietnam P. Trang et al. 10.1071/WF21078
108. 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