47 citations as recorded by crossref.

1. Effects of burning and nitrogen addition on foliar stoichiometry and nutrient resorption in a subtropical–temperate ecotonal forest M. Hu & S. Wan https://doi.org/10.1016/j.foreco.2024.122284
2. Varying relationships between fire radiative power and fire size at a global scale P. Laurent et al. https://doi.org/10.5194/bg-16-275-2019
3. Future projections of Siberian wildfire and aerosol emissions R. Nurrohman et al. https://doi.org/10.5194/bg-21-4195-2024
4. Advancing forest carbon projections requires improved convergence between ecological and economic models M. Fuller et al. https://doi.org/10.1186/s13021-024-00290-0
5. Deriving Fire Behavior Metrics from UAS Imagery C. Moran et al. https://doi.org/10.3390/fire2020036
6. Methods to assess fire-induced tree mortality: review of fire behaviour proxy and real fire experiments A. Smith et al. https://doi.org/10.1071/WF24136
7. Assessing multitemporal airborne laser scanning data and satellite-derived active fire observations for estimating structural change and biomass consumption in forests affected by compound disturbances A. Sparks et al. https://doi.org/10.1071/WF26075
8. Assessing the resilience of ecosystem functioning to wildfires using satellite-derived metrics of post-fire trajectories B. Marcos et al. https://doi.org/10.1016/j.rse.2022.113441
9. Actual evapotranspiration dominated net primary productivity loss caused by concurrent droughts Z. Ma et al. https://doi.org/10.1016/j.ecolind.2025.113645
10. Predicting fire-induced individual tree mortality at the landscape level using fire intensity and airborne laser scanning data A. Sparks et al. https://doi.org/10.1016/j.rse.2025.115007
11. Ecosystem Functioning Influences Species Fitness at Upper Trophic Levels A. Regos et al. https://doi.org/10.1007/s10021-021-00699-5
12. Phoenix of the Forest: assessing top kill and post-fire stem growth in aspen saplings using a pyro-ecophysiology approach G. Eldridge et al. https://doi.org/10.1186/s42408-026-00497-1
13. Overstory retention in a managed mixed-conifer stand limits cheatgrass invasion after wildfire J. Birch et al. https://doi.org/10.1186/s42408-025-00445-5
14. Short‐ and long‐term effects of fire on stem hydraulics inPinus ponderosasaplings R. Partelli‐Feltrin et al. https://doi.org/10.1111/pce.13881
15. Drought Increases Vulnerability of Pinus ponderosa Saplings to Fire-Induced Mortality R. Partelli-Feltrin et al. https://doi.org/10.3390/fire3040056
16. Fire Activity and Fuel Consumption Dynamics in Sub-Saharan Africa G. Roberts et al. https://doi.org/10.3390/rs10101591
17. Regeneration and Herbivory Across Multiple Forest Types Within a Megafire Burn Scar D. Tanner et al. https://doi.org/10.3390/fire8080323
18. Predicting immediate and delayed fire-induced mortality of Pinus monticola and Pseudotsuga menziesii saplings using a pyro-ecophysiology fire severity approach A. Blanco et al. https://doi.org/10.1071/WF25003
19. Stage-integrated fire resilience assessment of forest vegetation and its driving factors S. Wang et al. https://doi.org/10.1080/15481603.2026.2742614
20. Where Do Fires Burn More Intensely? Modeling and Mapping Maximum MODIS Fire Radiative Power from Aboveground Biomass by Fuel Type in Mexico D. Tinoco-Orozco et al. https://doi.org/10.3390/fire8020054
21. North American boreal forests are a large carbon source due to wildfires from 1986 to 2016 B. Zhao et al. https://doi.org/10.1038/s41598-021-87343-3
22. A Framework for Multi-Dimensional Assessment of Wildfire Disturbance Severity from Remotely Sensed Ecosystem Functioning Attributes B. Marcos et al. https://doi.org/10.3390/rs13040780
23. Deciphering the Fate of Burned Trees After a Forest Fire: A Systematic Review Focused on Conifers A. Bizzarri et al. https://doi.org/10.3390/biology14101372
24. Assessing forest fire properties in Northeastern Asia and Southern China with satellite microwave Emissivity Difference Vegetation Index (EDVI) R. Li et al. https://doi.org/10.1016/j.isprsjprs.2021.10.019
25. Satellite remote sensing of active fires: History and current status, applications and future requirements M. Wooster et al. https://doi.org/10.1016/j.rse.2021.112694
26. Revisiting the cumulative effects of drought on global gross primary productivity based on new long‐term series data (1982–2018) Z. Zhang et al. https://doi.org/10.1111/gcb.16178
27. Fires enhanced productivity in fire-adapted subtropical pinelands of the Florida Everglades G. McLeod et al. https://doi.org/10.1016/j.scitotenv.2025.180602
28. Fire Regime Impacts on Postfire Diurnal Land Surface Temperature Change Over North American Boreal Forest J. Zhao et al. https://doi.org/10.1029/2021JD035589
29. Digital Landscapes: Assessing Fire Severity and Its Drivers Using Remote Sensing and Google Earth Engine Based on dNBR and NPP Indicators D. El Khatib et al. https://doi.org/10.3390/rs18101654
30. Spatio-temporal characterization of landscape fire in relation to anthropogenic activity and climatic variability over the Western Himalaya, India S. Bar et al. https://doi.org/10.1080/15481603.2021.1879495
31. Fire heat affects the impacts of wildfires on air pollution in the United States Q. Ma et al. https://doi.org/10.1126/science.ads1957
32. Short- and long-term effects of surface fires on heat stress protein content in Scots pine needles N. Korotaeva et al. https://doi.org/10.1071/WF20084
33. Spatial Predictive Modeling of the Burning of Sugarcane Plots in Northeast Thailand with Selection of Factor Sets Using a GWR Model and Machine Learning Based on an ANN-CA P. Littidej et al. https://doi.org/10.3390/sym14101989
34. An ecosystem resilience index that integrates measures of vegetation function, structure, and composition M. Johnson et al. https://doi.org/10.1016/j.ecolind.2025.113076
35. Integrating active fire behavior observations and multitemporal airborne laser scanning data to quantify fire impacts on tree growth: A pilot study in mature Pinus ponderosa stands A. Sparks et al. https://doi.org/10.1016/j.foreco.2023.121246
36. Impacts of wildfires on boreal forest ecosystem carbon dynamics from 1986 to 2020 Y. Xu et al. https://doi.org/10.1088/1748-9326/ad489a
37. Fire Detection and Fire Radiative Power in Forests and Low-Biomass Lands in Northeast Asia: MODIS versus VIIRS Fire Products Y. Fu et al. https://doi.org/10.3390/rs12182870
38. Boosts in leaf-level photosynthetic capacity aid Pinus ponderosa recovery from wildfire K. Bryant et al. https://doi.org/10.1088/1748-9326/ac9cf2
39. Evaluation of Wildfire Occurrences in Pakistan with Global Gridded Soil Properties Derived from Remotely Sensed Data W. Rafaqat et al. https://doi.org/10.3390/rs14215503
40. Meta‐analysis shows forest soil CO2 effluxes are dependent on the disturbance regime and biome type O. Akande et al. https://doi.org/10.1111/ele.14201
41. Increased Sensitivity of Global Vegetation Productivity to Drought Over the Recent Three Decades X. Wei et al. https://doi.org/10.1029/2022JD037504
42. The Survival of Pinus ponderosa Saplings Subjected to Increasing Levels of Fire Behavior and Impacts on Post-Fire Growth W. Steady et al. https://doi.org/10.3390/fire2020023
43. Composite Wildfire Impact (CWI) rating: Integrating fire intensity and burn severity earth observations K. Chatzopoulos-Vouzoglanis et al. https://doi.org/10.1016/j.rsase.2025.101776
44. Needing a quick fix? Exploring the potential of pre-fire fertilization to mitigate fire severity in ponderosa pine saplings S. Rainsford et al. https://doi.org/10.1186/s42408-026-00579-0
45. Potential Underestimation of Satellite Fire Radiative Power Retrievals over Gas Flares and Wildland Fires S. Kumar et al. https://doi.org/10.3390/rs12020238
46. Are fire intensity and burn severity associated? Advancing our understanding of FRP and NBR metrics from Himawari-8/9 and Sentinel-2 K. Chatzopoulos-Vouzoglanis et al. https://doi.org/10.1016/j.jag.2024.103673
47. Divergent trajectories of global fires: Overall decline, regional intensification X. Chen et al. https://doi.org/10.1016/j.accre.2026.02.011