Articles | Volume 7, issue 10
https://doi.org/10.5194/bg-7-3199-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-7-3199-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
20 Oct 2010
Modelling burned area in Africa
V. Lehsten
Division of Physical Geography and Ecosystems Analysis (ENES), Department of Earth and Ecosystem Sciences, Lund University, Sweden
P. Harmand
Institut für Mathematik, Universität Oldenburg, Germany
I. Palumbo
Department of Geography, University of Leicester, UK
currently at: DG Joint Research Centre – European Commission, Ispra, Italy
A. Arneth
Division of Physical Geography and Ecosystems Analysis (ENES), Department of Earth and Ecosystem Sciences, Lund University, Sweden
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Cited
31 citations as recorded by crossref.
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- Modelling Weather and Climate Related Fire Risk in Africa F. Justino et al. 10.4236/ajcc.2013.24022
- Impact of human population density on fire frequency at the global scale W. Knorr et al. 10.5194/bg-11-1085-2014
- Grass and tree cover responses to intra-seasonal rainfall variability vary along a rainfall gradient in African tropical grassy biomes D. D’Onofrio et al. 10.1038/s41598-019-38933-9
- 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
- A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. 10.5194/gmd-10-4443-2017
- Demographic controls of future global fire risk W. Knorr et al. 10.1038/nclimate2999
- Land Use Change Impacts on Air Quality and Climate C. Heald & D. Spracklen 10.1021/cr500446g
- Linking Vegetation-Climate-Fire Relationships in Sub-Saharan Africa to Key Ecological Processes in Two Dynamic Global Vegetation Models D. D’Onofrio et al. 10.3389/fenvs.2020.00136
- Dynamic prediction of global monthly burned area with hybrid deep neural networks G. Zhang et al. 10.1002/eap.2610
- Tools for Assessing the Impacts of Climate Variability and Change on Wildfire Regimes in Forests H. Herawati et al. 10.3390/f6051476
- Air quality impacts of European wildfire emissions in a changing climate W. Knorr et al. 10.5194/acp-16-5685-2016
- Mapping fire regimes in China using MODIS active fire and burned area data D. Chen et al. 10.1016/j.apgeog.2017.05.013
- Global Wildfire Outlook Forecast with Neural Networks Y. Song & Y. Wang 10.3390/rs12142246
- Challenges and opportunities in linking carbon sequestration, livelihoods and ecosystem service provision in drylands L. Stringer et al. 10.1016/j.envsci.2012.02.004
- The effect of fire on tree–grass coexistence in savannas: a simulation study V. Lehsten et al. 10.1071/WF14205
- Implementing storm damage in a dynamic vegetation model for regional applications in Sweden F. Lagergren et al. 10.1016/j.ecolmodel.2012.08.011
- Wetland Fire Scar Monitoring and Its Response to Changes of the Pantanal Wetland X. Li et al. 10.3390/s20154268
- Thresholds of fire response to moisture and fuel load differ between tropical savannas and grasslands across continents S. Alvarado et al. 10.1111/geb.13034
- Global Wildfire Danger Predictions Based on Deep Learning Taking into Account Static and Dynamic Variables Y. Ji et al. 10.3390/f15010216
- Not only trees: Grasses determine African tropical biome distributions via water limitation and fire D. D'Onofrio et al. 10.1111/geb.12735
- Global environmental controls on wildfire burnt area, size, and intensity O. Haas et al. 10.1088/1748-9326/ac6a69
- Wildfire air pollution hazard during the 21st century W. Knorr et al. 10.5194/acp-17-9223-2017
- A burned area mapping method for the FY-3D MERSI based on the single-temporal L1 data and multi-temporal daily active fire products T. Shan et al. 10.1080/01431161.2020.1826064
- 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
- A rapid NPP meta-model for current and future climate and CO2 scenarios in Europe F. Sallaba et al. 10.1016/j.ecolmodel.2015.01.026
- Fuel fragmentation and fire size distributions in managed and unmanaged boreal forests in the province of Saskatchewan, Canada V. Lehsten et al. 10.1016/j.foreco.2016.06.014
- Forests, savannas, and grasslands: bridging the knowledge gap between ecology and Dynamic Global Vegetation Models M. Baudena et al. 10.5194/bg-12-1833-2015
- How Will Deforestation and Vegetation Degradation Affect Global Fire Activity? C. Park et al. 10.1029/2020EF001786
- 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
- Taking a closer look: disentangling effects of functional diversity on ecosystem functions with a trait-based model across hierarchy and time F. Holzwarth et al. 10.1098/rsos.140541
30 citations as recorded by crossref.
- Causal relationships versus emergent patterns in the global controls of fire frequency I. Bistinas et al. 10.5194/bg-11-5087-2014
- Modelling Weather and Climate Related Fire Risk in Africa F. Justino et al. 10.4236/ajcc.2013.24022
- Impact of human population density on fire frequency at the global scale W. Knorr et al. 10.5194/bg-11-1085-2014
- Grass and tree cover responses to intra-seasonal rainfall variability vary along a rainfall gradient in African tropical grassy biomes D. D’Onofrio et al. 10.1038/s41598-019-38933-9
- 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
- A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. 10.5194/gmd-10-4443-2017
- Demographic controls of future global fire risk W. Knorr et al. 10.1038/nclimate2999
- Land Use Change Impacts on Air Quality and Climate C. Heald & D. Spracklen 10.1021/cr500446g
- Linking Vegetation-Climate-Fire Relationships in Sub-Saharan Africa to Key Ecological Processes in Two Dynamic Global Vegetation Models D. D’Onofrio et al. 10.3389/fenvs.2020.00136
- Dynamic prediction of global monthly burned area with hybrid deep neural networks G. Zhang et al. 10.1002/eap.2610
- Tools for Assessing the Impacts of Climate Variability and Change on Wildfire Regimes in Forests H. Herawati et al. 10.3390/f6051476
- Air quality impacts of European wildfire emissions in a changing climate W. Knorr et al. 10.5194/acp-16-5685-2016
- Mapping fire regimes in China using MODIS active fire and burned area data D. Chen et al. 10.1016/j.apgeog.2017.05.013
- Global Wildfire Outlook Forecast with Neural Networks Y. Song & Y. Wang 10.3390/rs12142246
- Challenges and opportunities in linking carbon sequestration, livelihoods and ecosystem service provision in drylands L. Stringer et al. 10.1016/j.envsci.2012.02.004
- The effect of fire on tree–grass coexistence in savannas: a simulation study V. Lehsten et al. 10.1071/WF14205
- Implementing storm damage in a dynamic vegetation model for regional applications in Sweden F. Lagergren et al. 10.1016/j.ecolmodel.2012.08.011
- Wetland Fire Scar Monitoring and Its Response to Changes of the Pantanal Wetland X. Li et al. 10.3390/s20154268
- Thresholds of fire response to moisture and fuel load differ between tropical savannas and grasslands across continents S. Alvarado et al. 10.1111/geb.13034
- Global Wildfire Danger Predictions Based on Deep Learning Taking into Account Static and Dynamic Variables Y. Ji et al. 10.3390/f15010216
- Not only trees: Grasses determine African tropical biome distributions via water limitation and fire D. D'Onofrio et al. 10.1111/geb.12735
- Global environmental controls on wildfire burnt area, size, and intensity O. Haas et al. 10.1088/1748-9326/ac6a69
- Wildfire air pollution hazard during the 21st century W. Knorr et al. 10.5194/acp-17-9223-2017
- A burned area mapping method for the FY-3D MERSI based on the single-temporal L1 data and multi-temporal daily active fire products T. Shan et al. 10.1080/01431161.2020.1826064
- 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
- A rapid NPP meta-model for current and future climate and CO2 scenarios in Europe F. Sallaba et al. 10.1016/j.ecolmodel.2015.01.026
- Fuel fragmentation and fire size distributions in managed and unmanaged boreal forests in the province of Saskatchewan, Canada V. Lehsten et al. 10.1016/j.foreco.2016.06.014
- Forests, savannas, and grasslands: bridging the knowledge gap between ecology and Dynamic Global Vegetation Models M. Baudena et al. 10.5194/bg-12-1833-2015
- How Will Deforestation and Vegetation Degradation Affect Global Fire Activity? C. Park et al. 10.1029/2020EF001786
- 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
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