89 citations as recorded by crossref.

1. Impact of merging of historical and future climate data sets on land carbon cycle projections for South America C. Huntingford et al. 10.1002/cli2.24
2. Global Warming Reshapes European Pyroregions L. Galizia et al. 10.1029/2022EF003182
3. Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model R. Son et al. 10.1029/2023MS003710
4. Historical background and current developments for mapping burned area from satellite Earth observation E. Chuvieco et al. 10.1016/j.rse.2019.02.013
5. Tackling unresolved questions in forest ecology: The past and future role of simulation models I. Maréchaux et al. 10.1002/ece3.7391
6. Public lands as a mitigator of wildfire burned area using a spatio-temporal model applied in Sardinia L. Serra et al. 10.1007/s12076-022-00315-7
7. Towards an Integrated Approach to Wildfire Risk Assessment: When, Where, What and How May the Landscapes Burn E. Chuvieco et al. 10.3390/fire6050215
8. Land and Atmosphere Precursors to Fuel Loading, Wildfire Ignition and Post‐Fire Recovery M. Alizadeh et al. 10.1029/2023GL105324
9. The influence of vegetation water dynamics on the ASCAT backscatter–incidence angle relationship in the Amazon A. Petchiappan et al. 10.5194/hess-26-2997-2022
10. Determination of Fire Severity and Deduction of Influence Factors Through Landsat-8 Satellite Image Analysis¹ S. Lee et al. 10.13047/KJEE.2024.38.3.277
11. Revisiting Global Vegetation Controls Using Multi‐Layer Soil Moisture W. Li et al. 10.1029/2021GL092856
12. Developing novel machine-learning-based fire weather indices A. Shmuel & E. Heifetz 10.1088/2632-2153/acc008
13. 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
14. Human and climate drivers of global biomass burning variability E. Chuvieco et al. 10.1016/j.scitotenv.2021.146361
15. A global behavioural model of human fire use and management: WHAM! v1.0 O. Perkins et al. 10.5194/gmd-17-3993-2024
16. Land-Cover Dependent Relationships between Fire and Soil Moisture A. Schaefer & B. Magi 10.3390/fire2040055
17. Earth Observation for agricultural drought monitoring in the Pannonian Basin (southeastern Europe): current state and future directions L. Crocetti et al. 10.1007/s10113-020-01710-w
18. Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. 10.5194/gmd-13-3299-2020
19. Drivers of forest aboveground biomass and its increments in the Tatra Mountains after 15 years M. Dyderski & Ł. Pawlik 10.1016/j.catena.2021.105468
20. Global Wildfire Susceptibility Mapping Based on Machine Learning Models A. Shmuel & E. Heifetz 10.3390/f13071050
21. Theoretical uncertainties for global satellite-derived burned area estimates J. Brennan et al. 10.5194/bg-16-3147-2019
22. When the Land Surface Shifts Gears R. Orth 10.1029/2021AV000414
23. Earlier peak photosynthesis timing potentially escalates global wildfires G. Lai et al. 10.1093/nsr/nwae292
24. A data-driven model for Fennoscandian wildfire danger S. Bakke et al. 10.5194/nhess-23-65-2023
25. Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction G. Lasslop et al. 10.1111/gcb.15160
26. 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
27. Reconstructing burnt area during the Holocene: an Iberian case study Y. Shen et al. 10.5194/cp-18-1189-2022
28. Modelling the daily probability of wildfire occurrence in the contiguous United States T. Keeping et al. 10.1088/1748-9326/ad21b0
29. Quantifying wildfire drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0 R. Tang et al. 10.5194/gmd-17-1525-2024
30. Trajectories of wildfire behavior under climate change. Can forest management mitigate the increasing hazard? L. Miezïte et al. 10.1016/j.jenvman.2022.116134
31. Improving the LPJmL4-SPITFIRE vegetation–fire model for South America using satellite data M. Drüke et al. 10.5194/gmd-12-5029-2019
32. Characterization of land cover-specific fire regimes in the Brazilian Amazon A. Cano-Crespo et al. 10.1007/s10113-022-02012-z
33. Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire Y. Yu et al. 10.1038/s41467-022-28853-0
34. ABWiSE v1.0: toward an agent-based approach to simulating wildfire spread J. Katan & L. Perez 10.5194/nhess-21-3141-2021
35. Achieving Brazil's Deforestation Target Will Reduce Fire and Deliver Air Quality and Public Health Benefits E. Butt et al. 10.1029/2022EF003048
36. Emergent vulnerability to climate-driven disturbances in European forests G. Forzieri et al. 10.1038/s41467-021-21399-7
37. Understanding and modelling wildfire regimes: an ecological perspective S. Harrison et al. 10.1088/1748-9326/ac39be
38. Global environmental controls on wildfire burnt area, size, and intensity O. Haas et al. 10.1088/1748-9326/ac6a69
39. Dynamic ecosystem assembly and escaping the “fire trap” in the tropics: insights from FATES_15.0.0 J. Shuman et al. 10.5194/gmd-17-4643-2024
40. Pyrogenic carbon decomposition critical to resolving fire’s role in the Earth system S. Bowring et al. 10.1038/s41561-021-00892-0
41. Linking fire behaviour and its ecological effects to plant traits, using FRaME in R P. Zylstra 10.1111/2041-210X.13615
42. Fire as a fundamental ecological process: Research advances and frontiers K. McLauchlan et al. 10.1111/1365-2745.13403
43. Global rise in forest fire emissions linked to climate change in the extratropics M. Jones et al. 10.1126/science.adl5889
44. Recent global and regional trends in burned area and their compensating environmental controls M. Forkel et al. 10.1088/2515-7620/ab25d2
45. Increased fire activity under high atmospheric oxygen concentrations is compatible with the presence of forests R. Vitali et al. 10.1038/s41467-022-35081-z
46. 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. 10.5194/gmd-13-6029-2020
47. The response of wildfire regimes to Last Glacial Maximum carbon dioxide and climate O. Haas et al. 10.5194/bg-20-3981-2023
48. A global assessment of wildfire potential under climate change utilizing Keetch-Byram drought index and land cover classifications C. Gannon & N. Steinberg 10.1088/2515-7620/abd836
49. Influence of Fire on the Carbon Cycle and Climate G. Lasslop et al. 10.1007/s40641-019-00128-9
50. A fiery wake-up call for climate science B. Sanderson & R. Fisher 10.1038/s41558-020-0707-2
51. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
52. Global burned area increasingly explained by climate change C. Burton et al. 10.1038/s41558-024-02140-w
53. Human Fire Use and Management: A Global Database of Anthropogenic Fire Impacts for Modelling J. Millington et al. 10.3390/fire5040087
54. Ornithology from the Lakeshore B. Kempenaers 10.5253/arde.v110i1.a9
55. Modelling Human-Fire Interactions: Combining Alternative Perspectives and Approaches A. Ford et al. 10.3389/fenvs.2021.649835
56. Plant-water sensitivity regulates wildfire vulnerability K. Rao et al. 10.1038/s41559-021-01654-2
57. Projecting Exposure to Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales S. Lange et al. 10.1029/2020EF001616
58. 2019–2020 Australia Fire and Its Relationship to Hydroclimatological and Vegetation Variabilities M. Ehsani et al. 10.3390/w12113067
59. High-resolution estimation of air pollutant emissions from vegetation burning in China (2000–2018) W. Yang & X. Jiang 10.3389/fenvs.2022.896373
60. 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. 10.5194/gmd-14-7639-2021
61. Atmospheric phosphorus and its geochemical cycling: Fundamentals, progress, and perspectives X. Diao et al. 10.1016/j.earscirev.2023.104492
62. Global fire modelling and control attributions based on the ensemble machine learning and satellite observations Y. Zhang et al. 10.1016/j.srs.2023.100088
63. CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 1: Model framework and site-level performance J. Melton et al. 10.5194/gmd-13-2825-2020
64. A monthly gridded burned area database of national wildland fire data A. Gincheva et al. 10.1038/s41597-024-03141-2
65. Progress and challenges in remotely sensed terrestrial carbon fluxes T. Wang et al. 10.1080/10095020.2024.2336599
66. The interactive global fire module pyrE (v1.0) K. Mezuman et al. 10.5194/gmd-13-3091-2020
67. Assessing anthropogenic influence on fire history during the Holocene in the Iberian Peninsula L. Sweeney et al. 10.1016/j.quascirev.2022.107562
68. 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. 10.1080/17538947.2023.2197263
69. Eco‐evolutionary optimality as a means to improve vegetation and land‐surface models S. Harrison et al. 10.1111/nph.17558
70. Pyros: a raster–vector spatial simulation model for predicting wildland surface fire spread and growth D. Voltolina et al. 10.1071/WF22142
71. Examining wildfire dynamics using ECOSTRESS data with machine learning approaches: the case of South‐Eastern Australia's black summer Y. Zhu et al. 10.1002/rse2.422
72. Spatial distribution of tree species in mountain national parks depends on geomorphology and climate M. Dyderski & Ł. Pawlik 10.1016/j.foreco.2020.118366
73. Advancements in remote sensing for active fire detection: A review of datasets and methods S. Yang et al. 10.1016/j.scitotenv.2024.173273
74. Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations M. Forkel et al. 10.1038/s41598-019-55187-7
75. Observational evidence of wildfire-promoting soil moisture anomalies S. O et al. 10.1038/s41598-020-67530-4
76. The Reading Palaeofire Database: an expanded global resource to document changes in fire regimes from sedimentary charcoal records S. Harrison et al. 10.5194/essd-14-1109-2022
77. The importance of antecedent vegetation and drought conditions as global drivers of burnt area A. Kuhn-Régnier et al. 10.5194/bg-18-3861-2021
78. A hydroclimatic model for the distribution of fire on Earth M. Boer et al. 10.1088/2515-7620/abec1f
79. Assessment of Wildfire Susceptibility and Wildfire Threats to Ecological Environment and Urban Development Based on GIS and Multi-Source Data: A Case Study of Guilin, China W. Yue et al. 10.3390/rs15102659
80. Climate drivers of global wildfire burned area M. Grillakis et al. 10.1088/1748-9326/ac5fa1
81. Modeling Post-Fire Vegetation Recovery using Satellite and Environmental Data in Zagros Forest Ecosystem, Ilam S. Karimi et al. 10.61186/ifej.11.21.75
82. Assessing Spatio-Temporal Variability of Wildfires and their Impact on Sub-Saharan Ecosystems and Air Quality Using Multisource Remotely Sensed Data and Trend Analysis M. Kganyago & L. Shikwambana 10.3390/su11236811
83. Quantifying the drivers and predictability of seasonal changes in African fire Y. Yu et al. 10.1038/s41467-020-16692-w
84. Toward quantification of the feasible potential of land-based carbon dioxide removal O. Perkins et al. 10.1016/j.oneear.2023.11.011
85. Effect of Socioeconomic Variables in Predicting Global Fire Ignition Occurrence T. Mukunga et al. 10.3390/fire6050197
86. Attribution of extreme events to climate change in the Australian region – A review T. Lane et al. 10.1016/j.wace.2023.100622
87. Spatiotemporal Characteristics of Meteorological and Agricultural Droughts in China: Change Patterns and Causes L. Li et al. 10.3390/agriculture13020265
88. 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
89. Global environmental controls on wildfire burnt area, size, and intensity O. Haas et al. 10.1088/1748-9326/ac6a69