68 citations as recorded by crossref.

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3. Challenges and opportunities in linking carbon sequestration, livelihoods and ecosystem service provision in drylands L. Stringer et al. https://doi.org/10.1016/j.envsci.2012.02.004
4. Global tropical and extra-tropical tropospheric ozone trends and radiative forcing deduced from satellite and ozonesonde measurements for the period 2005–2020 G. Gopikrishnan & J. Kuttippurath https://doi.org/10.1016/j.envpol.2024.124869
5. Fire dynamics during the 20th century simulated by the Community Land Model S. Kloster et al. https://doi.org/10.5194/bg-7-1877-2010
6. Pathways for climate change effects on fire: Models, data, and uncertainties A. Hessl https://doi.org/10.1177/0309133311407654
7. Estimating Long-Term Average Carbon Emissions from Fires in Non-Forest Ecosystems in the Temperate Belt A. Ostroukhov et al. https://doi.org/10.3390/rs14051197
8. Signature of tropical fires in the diurnal cycle of tropospheric CO as seen from Metop-A/IASI T. Thonat et al. https://doi.org/10.5194/acp-15-13041-2015
9. Modelling burned area in Africa V. Lehsten et al. https://doi.org/10.5194/bg-7-3199-2010
10. Simulating Regional Vegetation‐climate Dynamics for Middle America: Tropical Versus Temperate Applications R. Snell et al. https://doi.org/10.1111/btp.12054
11. Disproportionate Contribution of Riparian Inputs to Organic Carbon Pools in Freshwater Systems T. Marwick et al. https://doi.org/10.1007/s10021-014-9772-6
12. A rapid NPP meta-model for current and future climate and CO2 scenarios in Europe F. Sallaba et al. https://doi.org/10.1016/j.ecolmodel.2015.01.026
13. Determinants and predictability of global wildfire emissions W. Knorr et al. https://doi.org/10.5194/acp-12-6845-2012
14. Harvesting the Biosphere: The Human Impact V. Smil https://doi.org/10.1111/j.1728-4457.2011.00450.x
15. Estimation and Spatio-temporal Patterns of Carbon Emissions from Grassland Fires in Inner Mongolia, China S. Yu et al. https://doi.org/10.1007/s11769-020-1134-z
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17. Geographical variability of relationships among black carbon from wildfires, climate and vegetation in Africa S. Ishii et al. https://doi.org/10.3354/cr01175
18. A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0) M. Pfeiffer et al. https://doi.org/10.5194/gmd-6-643-2013
19. Exploring the utility of Sentinel-2 MSI and Landsat 8 OLI in burned area mapping for a heterogenous savannah landscape F. Ngadze et al. https://doi.org/10.1371/journal.pone.0232962
20. The effect of fire on tree–grass coexistence in savannas: a simulation study V. Lehsten et al. https://doi.org/10.1071/WF14205
21. Wildfire smoke in the Siberian Arctic in summer: source characterization and plume evolution from airborne measurements J. Paris et al. https://doi.org/10.5194/acp-9-9315-2009
22. 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
23. Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite‐observed burned area B. Poulter et al. https://doi.org/10.1002/2013GB004655
24. Greenhouse gas emissions from shifting cultivation in the tropics, including uncertainty and sensitivity analysis J. Silva et al. https://doi.org/10.1029/2011JD016056
25. Fire in sub‐Saharan Africa: The fuel, cure and connectivity hypothesis M. Kahiu & N. Hanan https://doi.org/10.1111/geb.12753
26. Global Wildfire Outlook Forecast with Neural Networks Y. Song & Y. Wang https://doi.org/10.3390/rs12142246
27. The carbon balance of Africa: synthesis of recent research studies P. Ciais et al. https://doi.org/10.1098/rsta.2010.0328
28. An outlook on the Sub-Saharan Africa carbon balance A. Bombelli et al. https://doi.org/10.5194/bg-6-2193-2009
29. Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. https://doi.org/10.5194/gmd-13-3299-2020
30. Emission factors of some common grass species in West Africa K. Abdulraheem et al. https://doi.org/10.1007/s10661-020-08725-0
31. Wildfires in the Arctic and tropical biomes: what is the relative role of climate? J. Engström et al. https://doi.org/10.1007/s11069-022-05452-2
32. The legacy of colonial fire management policies on traditional livelihoods and ecological sustainability in savannas: Impacts, consequences, new directions L. Moura et al. https://doi.org/10.1016/j.jenvman.2018.11.057
33. Accounting for fuel in fire danger forecasts: the fire occurrence probability index (FOPI) F. Di Giuseppe https://doi.org/10.1088/1748-9326/acd2ee
34. Climatic and non-climatic vegetation cover changes in the rangelands of Africa F. D'Adamo et al. https://doi.org/10.1016/j.gloplacha.2021.103516
35. Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. https://doi.org/10.5194/acp-19-12545-2019
36. 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
37. Trends and seasonal variability of atmospheric NO2 and HNO3 concentrations across three major African biomes inferred from long-term series of ground-based and satellite measurements M. Ossohou et al. https://doi.org/10.1016/j.atmosenv.2019.03.027
38. Opportunities for an African greenhouse gas observation system L. Merbold et al. https://doi.org/10.1007/s10113-021-01823-w
39. Satellite-Based Differentiation of Anthropogenic and Forest Fire CO2 Emission Regions M. You et al. https://doi.org/10.1109/JSTARS.2025.3595540
40. Advances in the estimation of high Spatio-temporal resolution pan-African top-down biomass burning emissions made using geostationary fire radiative power (FRP) and MAIAC aerosol optical depth (AOD) data H. Nguyen & M. Wooster https://doi.org/10.1016/j.rse.2020.111971
41. 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
42. A human-driven decline in global burned area N. Andela et al. https://doi.org/10.1126/science.aal4108
43. 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
44. Integration of geostationary FRP and polar-orbiter burned area datasets for an enhanced biomass burning inventory G. Roberts et al. https://doi.org/10.1016/j.rse.2011.04.006
45. African heritage in a changing climate N. Brooks et al. https://doi.org/10.1080/0067270X.2020.1792177
46. Identifying environmental controls on vegetation greenness phenology through model–data integration M. Forkel et al. https://doi.org/10.5194/bg-11-7025-2014
47. A full greenhouse gases budget of Africa: synthesis, uncertainties, and vulnerabilities R. Valentini et al. https://doi.org/10.5194/bg-11-381-2014
48. 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
49. Comparison of L3JRC and MODIS global burned area products from 2000 to 2007 D. Chang & Y. Song https://doi.org/10.1029/2008JD011361
50. Forests, savannas, and grasslands: bridging the knowledge gap between ecology and Dynamic Global Vegetation Models M. Baudena et al. https://doi.org/10.5194/bg-12-1833-2015
51. Sources of uncertainty in the SPITFIRE global fire model: development of LPJmL-SPITFIRE1.9 and directions for future improvements L. Oberhagemann et al. https://doi.org/10.5194/gmd-18-2021-2025
52. 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
53. Criteria-Based Identification of Important Fuels for Wildland Fire Emission Research A. Watts et al. https://doi.org/10.3390/atmos11060640
54. Global wildfire activity re-visited O. Dube https://doi.org/10.1016/j.gloenvcha.2024.102894
55. Greenhouse gas emissions and carbon sink potential in Eastern Africa rangeland ecosystems: A review M. Mgalula et al. https://doi.org/10.1186/s13570-021-00201-9
56. Climate and the inter‐annual variability of fire in southern Africa: a meta‐analysis using long‐term field data and satellite‐derived burnt area data S. Archibald et al. https://doi.org/10.1111/j.1466-8238.2010.00568.x
57. Including vegetation dynamics in an atmospheric chemistry-enabled general circulation model: linking LPJ-GUESS (v4.0) with the EMAC modelling system (v2.53) M. Forrest et al. https://doi.org/10.5194/gmd-13-1285-2020
58. Vegetation biomass change in China in the 20th century: an assessment based on a combination of multi-model simulations and field observations X. Song et al. https://doi.org/10.1088/1748-9326/ab94e8
59. Estimation of actual carbon dioxide removal in burned forests using satellite data: A case study in South Korea H. Lee & G. Kim https://doi.org/10.1007/s11629-022-7697-7
60. Global carbon monoxide retrieval from the hyperspectral infrared atmospheric sounder-II onboard FengYun-3E in a dawn-dusk sun-synchronous orbit Z. Zeng https://doi.org/10.1016/j.jqsrt.2024.109336
61. 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
62. AOD distributions and trends of major aerosol species over a selection of the world's most populated cities based on the 1st version of NASA's MERRA Aerosol Reanalysis S. Provençal et al. https://doi.org/10.1016/j.uclim.2017.04.001
63. Quantifying the role of fire in the Earth system – Part 1: Improved global fire modeling in the Community Earth System Model (CESM1) F. Li et al. https://doi.org/10.5194/bg-10-2293-2013
64. Estimating Grazing Potentials in Sudan Using Daily Carbon Allocation in Dynamic Vegetation Model N. Boke-Olén et al. https://doi.org/10.1016/j.rama.2018.06.006
65. The status and challenge of global fire modelling S. Hantson et al. https://doi.org/10.5194/bg-13-3359-2016
66. Implications of slash-and-burn agriculture with rotation and fallow lands in traditional agricultural systems: A review J. Campos et al. https://doi.org/10.1590/1677-941x-abb-2024-0204
67. Implications of accounting for land use in simulations of ecosystem carbon cycling in Africa M. Lindeskog et al. https://doi.org/10.5194/esd-4-385-2013
68. Vegetation-derived pyrogenic carbon degradation and stabilisation in UK peatlands† O. Kennedy-Blundell et al. https://doi.org/10.1071/WF22166