85 citations as recorded by crossref.

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2. 1982–2010 Trends of Light Use Efficiency and Inherent Water Use Efficiency in African vegetation: Sensitivity to Climate and Atmospheric CO2 Concentrations A. Traore et al. https://doi.org/10.3390/rs6098923
3. Wildfires Impact Assessment on PM Levels Using Generalized Additive Mixed Models G. Leone et al. https://doi.org/10.3390/atmos14020231
4. Predictability of tropical vegetation greenness using sea surface temperatures* B. Yan et al. https://doi.org/10.1088/2515-7620/ab178a
5. Mean global and regional distributions of MOPITT carbon monoxide during 2000–2009 and during ENSO Y. Zhang https://doi.org/10.1016/j.atmosenv.2010.11.044
6. Characterization of global wildfire burned area spatiotemporal patterns and underlying climatic causes K. Shi & Y. Touge https://doi.org/10.1038/s41598-021-04726-2
7. The Influence of Wildfire Climate on Wildfire Incidence: The Case of Portugal M. Pereira et al. https://doi.org/10.3390/fire7070234
8. Variability in the Southern Annular Mode determines wildfire activity in Patagonia A. Holz & T. Veblen https://doi.org/10.1029/2011GL047674
9. ENSO Teleconnection to Interannual Variability in Carbon Monoxide Over the North Atlantic European Region in Spring Y. Liu et al. https://doi.org/10.3389/fenvs.2022.894779
10. The Signature of Climate in Annual Burned Area in Portugal C. DaCamara https://doi.org/10.3390/cli12090143
11. Multi-hazard risk mapping in mountainous microcatchments: Integrated avalanche-flood simulations with RAMMS and HEC-RAS A. Meral & E. Yıldız https://doi.org/10.51489/tuzal.1848947
12. Fire activity over Mediterranean Europe based on information from Meteosat-8 M. Amraoui et al. https://doi.org/10.1016/j.foreco.2012.08.032
13. Desert mammal populations are limited by introduced predators rather than future climate change A. Greenville et al. https://doi.org/10.1098/rsos.170384
14. Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009) G. van der Werf et al. https://doi.org/10.5194/acp-10-11707-2010
15. Coupling of El Niño events and long-term warming leads to pervasive climate extremes in the terrestrial tropics S. Rifai et al. https://doi.org/10.1088/1748-9326/ab402f
16. Fire severity, feedback effects and resilience to alternative community states in forest assemblages K. Knox & P. Clarke https://doi.org/10.1016/j.foreco.2011.10.025
17. Does terrestrial drought explain global CO2 flux anomalies induced by El Niño? C. Schwalm et al. https://doi.org/10.5194/bg-8-2493-2011
18. Multifractal behavior of wild-land and forest fire time series in Brazil R. de Benicio et al. https://doi.org/10.1016/j.physa.2013.08.012
19. Atmospheric conditions associated with extreme fire activity in the Western Mediterranean region M. Amraoui et al. https://doi.org/10.1016/j.scitotenv.2015.04.032
20. Prediction of September–December Fire in New Caledonia (Southwestern Pacific) Using July Niño-4 Sea Surface Temperature Index V. Moron et al. https://doi.org/10.1175/JAMC-D-12-03.1
21. Does large area burned mean a bad fire year? Comparing contemporary wildfire years to historical fire regimes informs the restoration task in fire-dependent forests D. Donato et al. https://doi.org/10.1016/j.foreco.2023.121372
22. Oceanic and Atmospheric Drivers of Post‐El‐Niño Chlorophyll Rebound in the Equatorial Pacific H. Lim et al. https://doi.org/10.1029/2021GL096113
23. Human Pyrogeography: A New Synergy of Fire, Climate and People is Reshaping Ecosystems across the Globe C. O’Connor et al. https://doi.org/10.1111/j.1749-8198.2011.00428.x
24. HESFIRE: a global fire model to explore the role of anthropogenic and weather drivers Y. Le Page et al. https://doi.org/10.5194/bg-12-887-2015
25. Global Fire Forecasts Using Both Large‐Scale Climate Indices and Local Meteorological Parameters H. Shen et al. https://doi.org/10.1029/2019GB006180
26. Direct and indirect impacts of wildfire on faunal communities of Mediterranean temporary ponds D. Cunillera‐Montcusí et al. https://doi.org/10.1111/fwb.13219
27. Wildfire activity in rainforests in western Patagonia linked to the Southern Annular Mode A. Holz & T. Veblen https://doi.org/10.1071/WF10121
28. Influence of El Niño on atmospheric CO 2 over the tropical Pacific Ocean: Findings from NASA’s OCO-2 mission A. Chatterjee et al. https://doi.org/10.1126/science.aam5776
29. Anthromes displaying evidence of weekly cycles in active fire data cover 70% of the global land surface J. Pereira et al. https://doi.org/10.1038/s41598-019-47678-4
30. 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
31. Global observations of aerosol-cloud-precipitation-climate interactions D. Rosenfeld et al. https://doi.org/10.1002/2013RG000441
32. Recent changes and relations among drought, vegetation and wildfires in the Eastern Mediterranean: The case of Israel M. Turco et al. https://doi.org/10.1016/j.gloplacha.2016.09.002
33. A Structural Equation Model Analysis of Relationships among ENSO, Seasonal Descriptors and Wildfires M. Slocum et al. https://doi.org/10.1371/journal.pone.0075946
34. Modeling Regional-Scale Wildland Fire Emissions with the Wildland Fire Emissions Information System* N. French et al. https://doi.org/10.1175/EI-D-14-0002.1
35. Emissions of climate-altering species from open vegetation fires in the Mediterranean region - A review on methods and data R. Hundal et al. https://doi.org/10.1016/j.scitotenv.2024.177713
36. Spatiotemporal variation in fire occurrence in the state of Amazonas, Brazil, between 2003 and 2016 B. WHITE https://doi.org/10.1590/1809-4392201704522
37. Postglacial fire history and interactions with vegetation and climate in southwestern Yunnan Province of China X. Xiao et al. https://doi.org/10.5194/cp-13-613-2017
38. Assessing Terrestrial Ecosystem Resilience using Satellite Leaf Area Index J. Wu & S. Liang https://doi.org/10.3390/rs12040595
39. The temporal and spatial relationships between climatic parameters and fire occurrence in northeastern Iran S. Eskandari et al. https://doi.org/10.1016/j.ecolind.2020.106720
40. Biomass burning, humans and climate change in Southeast Asia D. Taylor https://doi.org/10.1007/s10531-009-9756-6
41. Disentangling the Roles of Climate Variables in Forest Fire Occurrences in China C. Lian et al. https://doi.org/10.3390/rs17010088
42. 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
43. Recovery of temporary pond alpha and beta diversity after wildfire disturbance: the role of dispersal and recolonization processes D. Cunillera-Montcusí et al. https://doi.org/10.1080/20442041.2021.1993121
44. Ecological and climatic controls of modern wildfire activity patterns across southwestern South America A. Holz et al. https://doi.org/10.1890/ES12-00234.1
45. 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
46. Climatic and edaphic gradients predict variation in wildland fuel hazard in south‐eastern Australia S. McColl‐Gausden et al. https://doi.org/10.1111/ecog.04714
47. Holocene changes in fire frequency in the Daihai Lake region (north-central China): indications and implications for an important role of human activity X. Wang et al. https://doi.org/10.1016/j.quascirev.2012.10.033
48. Predicting Grassland Fire-Occurrence Probability in Inner Mongolia Autonomous Region, China C. Chang et al. https://doi.org/10.3390/rs15122999
49. The interannual variability of Africa's ecosystem productivity: a multi-model analysis U. Weber et al. https://doi.org/10.5194/bg-6-285-2009
50. Significant variations of trace gas composition and aerosol properties at Mt. Cimone during air mass transport from North Africa – contributions from wildfire emissions and mineral dust P. Cristofanelli et al. https://doi.org/10.5194/acp-9-4603-2009
51. Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal P. Palmer et al. https://doi.org/10.1038/s41467-019-11097-w
52. Decreasing causal impacts of El Niño–Southern Oscillation on future fire activities T. Le et al. https://doi.org/10.1016/j.scitotenv.2022.154031
53. Relationships between MODIS and ATSR fires and atmospheric variability in New Caledonia (SW Pacific) R. Barbero et al. https://doi.org/10.1029/2011JD015915
54. Generating Annual Fire Risk Maps Using Bayesian Hierarchical Models K. Turkman et al. https://doi.org/10.1080/15598608.2013.820158
55. Impacts of El Niño–Southern Oscillation on global fire PM2.5 during 2000–2023 Y. Hu et al. https://doi.org/10.1016/j.aosl.2025.100597
56. Climate, Livestock, and Vegetation: What Drives Fire Increase in the Arid Ecosystems of Southern Russia? M. Dubinin et al. https://doi.org/10.1007/s10021-011-9427-9
57. Impact of ENSO on variability of global CO2 concentration retrievals from GOSAT and AIRS N. Ying & Q. Ye https://doi.org/10.1088/1755-1315/237/2/022009
58. Detection and monitoring of African vegetation fires using MSG-SEVIRI imagery M. Amraoui et al. https://doi.org/10.1016/j.rse.2009.12.019
59. Spatio-Temporal Marked Point Process Model to Understand Forest Fires in the Mediterranean Basin Ó. de Rivera et al. https://doi.org/10.1007/s13253-024-00617-x
60. Interannual to decadal climate variability of sea salt aerosols in the coupled climate model CESM1.0 L. Xu et al. https://doi.org/10.1002/2014JD022888
61. Analysis of spatial and temporal variations of carbon dioxide over China using SCIAMACHY satellite observations during 2003–2005 K. Wang et al. https://doi.org/10.1080/01431161.2010.517805
62. Ten years of global burned area products from spaceborne remote sensing—A review: Analysis of user needs and recommendations for future developments F. Mouillot et al. https://doi.org/10.1016/j.jag.2013.05.014
63. The climatology of extreme wildfires in Portugal, 1980–2018: Contributions to forecasting and preparedness M. Carmo et al. https://doi.org/10.1002/joc.7411
64. Survival and growth of cactus species after a wildfire in central Argentina: Differences among species and the effects of microenvironment characteristics V. Zupichiatti et al. https://doi.org/10.1111/aec.13102
65. A machine learning framework for multi-hazards modeling and mapping in a mountainous area S. Yousefi et al. https://doi.org/10.1038/s41598-020-69233-2
66. Global Fire Season Types and Their Characteristics Based on MODIS Burned Area Data W. Zhang et al. https://doi.org/10.1007/s11769-025-1501-x
67. Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5) Y. Chen et al. https://doi.org/10.5194/essd-15-5227-2023
68. Power law correlations in time series of wild-land and forest fires in Brazil L. da Silva et al. https://doi.org/10.1080/01431161.2011.605086
69. Analysis of lightning-induced forest fires in Austria M. Müller et al. https://doi.org/10.1007/s00704-012-0653-7
70. Influence of local scale and oceanic teleconnections on regional fire danger and wildfire trends F. Justino et al. https://doi.org/10.1016/j.scitotenv.2023.163397
71. Global combustion: the connection between fossil fuel and biomass burning emissions (1997–2010) J. Balch et al. https://doi.org/10.1098/rstb.2015.0177
72. Global-scale statistical modelling of the radiative power released by vegetation fires using a doubly truncated lognormal body distribution with generalized Pareto tails C. DaCamara et al. https://doi.org/10.1016/j.physa.2023.129049
73. Accurate Quantification of Seasonal Rainfall and Associated Climate–Wildfire Relationships M. Slocum et al. https://doi.org/10.1175/2010JAMC2532.1
74. Heat waves in Portugal: Current regime, changes in future climate and impacts on extreme wildfires J. Parente et al. https://doi.org/10.1016/j.scitotenv.2018.03.044
75. Religious Affiliation Modulates Weekly Cycles of Cropland Burning in Sub-Saharan Africa J. Pereira et al. https://doi.org/10.1371/journal.pone.0139189
76. Analysing factors influencing fire frequency in Hwange National Park B. Kavhu & H. Ndaimani https://doi.org/10.1080/03736245.2021.1941219
77. Air quality impacts of the 2019–2020 Black Summer wildfires on Australian schools G. Di Virgilio et al. https://doi.org/10.1016/j.atmosenv.2021.118450
78. A joint framework for studying compound ecoclimatic events A. Bastos et al. https://doi.org/10.1038/s43017-023-00410-3
79. Assessing wildfire extents in Siberian forests using machine learning I. Malashin et al. https://doi.org/10.1038/s41598-025-17465-5
80. Sharp transitions in microclimatic conditions between savanna and forest in New Caledonia: Insights into the vulnerability of forest edges to fire T. Ibanez et al. https://doi.org/10.1111/aec.12015
81. Retrieving middle-infrared reflectance for burned area mapping in tropical environments using MODIS R. Libonati et al. https://doi.org/10.1016/j.rse.2009.11.018
82. An ENSO-induced aerosol dipole in the west-central Pacific and its potential feedback to ENSO evolution L. Xu & J. Yu https://doi.org/10.1007/s00382-018-4435-5
83. Future climate risk from compound events J. Zscheischler et al. https://doi.org/10.1038/s41558-018-0156-3
84. Seasonality of energy and water fluxes in a tropical moist forest in Vietnam O. Kuricheva et al. https://doi.org/10.1016/j.agrformet.2020.108268
85. The Biomass Burning Pulse and the COVID-19 Collapse: Multi-year Satellite Insights into NO2, CO, and Aerosol Burdens Across South Asia M. Malik et al. https://doi.org/10.1007/s41810-026-00422-8