Articles | Volume 11, issue 6
https://doi.org/10.5194/acp-11-2625-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-11-2625-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmospheric emissions from vegetation fires in Portugal (1990–2008): estimates, uncertainty analysis, and sensitivity analysis
I. M. D. Rosa
Technical University of Lisbon, School of Agriculture, Center for Forest Studies, Tapada da Ajuda, 1349-017 Lisboa, Portugal
now at: Faculty of Natural Sciences, Division of Biology, Imperial College of London, Silwood Park Campus, UK
J. M. C. Pereira
Technical University of Lisbon, School of Agriculture, Center for Forest Studies, Tapada da Ajuda, 1349-017 Lisboa, Portugal
S. Tarantola
Joint Research Centre of the European Commission, Ispra, Italy
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Cited
37 citations as recorded by crossref.
- A Landsat-based atlas of monthly burned area for Portugal, 1984–2021 A. Neves et al. 10.1016/j.jag.2023.103321
- Fine fuels consumption and CO2 emissions from surface fire experiments in maritime pine stands in northern Portugal P. Fernandes & C. Loureiro 10.1016/j.foreco.2012.11.037
- A method to produce a flexible and customized fuel models dataset A. Sá et al. 10.1016/j.mex.2023.102218
- Characteristics and controls of extremely large wildfires in the western Mediterranean Basin P. Fernandes et al. 10.1002/2016JG003389
- Greenhouse gas emissions from shifting cultivation in the tropics, including uncertainty and sensitivity analysis J. Silva et al. 10.1029/2011JD016056
- The dynamics and drivers of fuel and fire in the Portuguese public forest P. Fernandes et al. 10.1016/j.jenvman.2014.07.049
- Alternative pathways to a sustainable future lead to contrasting biodiversity responses I. Martins et al. 10.1016/j.gecco.2020.e01028
- APIFLAME v1.0: high-resolution fire emission model and application to the Euro-Mediterranean region S. Turquety et al. 10.5194/gmd-7-587-2014
- An Unsupervised Saliency-Guided Deep Convolutional Neural Network for Accurate Burn Mapping from Sentinel-1 SAR Data A. Radman et al. 10.3390/rs15051184
- Assessing tree crown fire damage integrating linear spectral mixture analysis and supervised machine learning on Sentinel-2 imagery G. De Luca et al. 10.1080/17538947.2023.2243900
- Survival of prescribed burning treatments to wildfire in Portugal D. Davim et al. 10.1016/j.foreco.2021.119250
- Post-fire live residuals of maritime pine plantations in Portugal: Structure, burn severity, and fire recurrence P. Fernandes et al. 10.1016/j.foreco.2015.03.023
- Impact of fire severity on forest structure and biomass stocks using NASA GEDI data. Insights from the 2020 and 2021 wildfire season in Spain and Portugal J. Guerra-Hernández et al. 10.1016/j.srs.2024.100134
- Reliable prediction of carbon monoxide using developed support vector machine S. Moazami et al. 10.1016/j.apr.2015.10.022
- Analysing eucalypt expansion in Portugal as a fire-regime modifier P. Fernandes et al. 10.1016/j.scitotenv.2019.02.237
- An integrated assessment of carbon emissions from forest fires beyond impacts on aboveground biomass. A showcase using airborne lidar and GEDI data over a megafire in Spain A. Pascual & J. Guerra-Hernández 10.1016/j.jenvman.2023.118709
- Using field data to assess model predictions of surface and ground fuel consumption by wildfire in coniferous forests of California J. Lydersen et al. 10.1002/2013JG002475
- A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems G. De Luca et al. 10.1080/15481603.2021.1907896
- Dynamics of pollutant emissions from wildfires in Mainland China Q. Jin et al. 10.1016/j.jenvman.2022.115499
- Evaluating the potential of burn severity mapping and transferability of Copernicus EMS data using Sentinel-2 imagery and machine learning approaches K. Lee et al. 10.1080/15481603.2023.2192157
- Estimation of CO2 Emissions from Wildfires Using OCO-2 Data M. Guo et al. 10.3390/atmos10100581
- CO 2 emissions from the 2010 Russian wildfires using GOSAT data M. Guo et al. 10.1016/j.envpol.2017.04.014
- Wildfire CO2 Emissions in the Conterminous United States from 2015 to 2018 as Estimated by the WRF-Chem Assimilation System from OCO-2 XCO2 Retrievals J. Jin et al. 10.3390/atmos15020186
- Estimating relationships between forest fires and greenhouse gas emissions: circular and cumulative effects or unidirectional causality? V. Martinho 10.1007/s10661-019-7770-z
- Prescribed burning mitigates the severity of subsequent wildfires in Mediterranean shrublands J. Fernández-Guisuraga & P. Fernandes 10.1186/s42408-023-00233-z
- On the integration of LiDAR and field data for riparian biomass estimation M. Latella et al. 10.1016/j.jenvman.2022.116046
- Estimating annual GHG and particulate matter emissions from rural and forest fires based on an integrated modelling approach C. Scarpa et al. 10.1016/j.scitotenv.2023.167960
- Shrub biomass accumulation and growth rate models to quantify carbon stocks and fluxes for the Mediterranean region M. Pasalodos-Tato et al. 10.1007/s10342-015-0870-6
- A model of shrub biomass accumulation as a tool to support management of Portuguese forests B. Botequim et al. 10.3832/ifor0931-008
- Carbon taxation as a means to incentivize forest and fire management R. Pacheco 10.1007/s10668-021-01953-5
- Estimates of greenhouse gas and black carbon emissions from a major Australian wildfire with high spatiotemporal resolution N. Surawski et al. 10.1002/2016JD025087
- Assessing the effect of a fuel break network to reduce burnt area and wildfire risk transmission T. Oliveira et al. 10.1071/WF15146
- The effectiveness of past wildfire at limiting reburning is short-lived in a Mediterranean humid climate D. Davim et al. 10.1186/s42408-023-00227-x
- Comparison of approaches for reporting forest fire-related biomass loss and greenhouse gas emissions in southern Europe M. Chiriacò et al. 10.1071/WF12011
- Contrasting trends of mass and optical properties of aerosols over the Northern Hemisphere from 1992 to 2011 K. Wang et al. 10.5194/acp-12-9387-2012
- A process-based fire parameterization of intermediate complexity in a Dynamic Global Vegetation Model F. Li et al. 10.5194/bg-9-2761-2012
- Fuel dynamics following fire hazard reduction treatments in blue gum (Eucalyptus globulus) plantations in Portugal I. Mirra et al. 10.1016/j.foreco.2017.05.016
37 citations as recorded by crossref.
- A Landsat-based atlas of monthly burned area for Portugal, 1984–2021 A. Neves et al. 10.1016/j.jag.2023.103321
- Fine fuels consumption and CO2 emissions from surface fire experiments in maritime pine stands in northern Portugal P. Fernandes & C. Loureiro 10.1016/j.foreco.2012.11.037
- A method to produce a flexible and customized fuel models dataset A. Sá et al. 10.1016/j.mex.2023.102218
- Characteristics and controls of extremely large wildfires in the western Mediterranean Basin P. Fernandes et al. 10.1002/2016JG003389
- Greenhouse gas emissions from shifting cultivation in the tropics, including uncertainty and sensitivity analysis J. Silva et al. 10.1029/2011JD016056
- The dynamics and drivers of fuel and fire in the Portuguese public forest P. Fernandes et al. 10.1016/j.jenvman.2014.07.049
- Alternative pathways to a sustainable future lead to contrasting biodiversity responses I. Martins et al. 10.1016/j.gecco.2020.e01028
- APIFLAME v1.0: high-resolution fire emission model and application to the Euro-Mediterranean region S. Turquety et al. 10.5194/gmd-7-587-2014
- An Unsupervised Saliency-Guided Deep Convolutional Neural Network for Accurate Burn Mapping from Sentinel-1 SAR Data A. Radman et al. 10.3390/rs15051184
- Assessing tree crown fire damage integrating linear spectral mixture analysis and supervised machine learning on Sentinel-2 imagery G. De Luca et al. 10.1080/17538947.2023.2243900
- Survival of prescribed burning treatments to wildfire in Portugal D. Davim et al. 10.1016/j.foreco.2021.119250
- Post-fire live residuals of maritime pine plantations in Portugal: Structure, burn severity, and fire recurrence P. Fernandes et al. 10.1016/j.foreco.2015.03.023
- Impact of fire severity on forest structure and biomass stocks using NASA GEDI data. Insights from the 2020 and 2021 wildfire season in Spain and Portugal J. Guerra-Hernández et al. 10.1016/j.srs.2024.100134
- Reliable prediction of carbon monoxide using developed support vector machine S. Moazami et al. 10.1016/j.apr.2015.10.022
- Analysing eucalypt expansion in Portugal as a fire-regime modifier P. Fernandes et al. 10.1016/j.scitotenv.2019.02.237
- An integrated assessment of carbon emissions from forest fires beyond impacts on aboveground biomass. A showcase using airborne lidar and GEDI data over a megafire in Spain A. Pascual & J. Guerra-Hernández 10.1016/j.jenvman.2023.118709
- Using field data to assess model predictions of surface and ground fuel consumption by wildfire in coniferous forests of California J. Lydersen et al. 10.1002/2013JG002475
- A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems G. De Luca et al. 10.1080/15481603.2021.1907896
- Dynamics of pollutant emissions from wildfires in Mainland China Q. Jin et al. 10.1016/j.jenvman.2022.115499
- Evaluating the potential of burn severity mapping and transferability of Copernicus EMS data using Sentinel-2 imagery and machine learning approaches K. Lee et al. 10.1080/15481603.2023.2192157
- Estimation of CO2 Emissions from Wildfires Using OCO-2 Data M. Guo et al. 10.3390/atmos10100581
- CO 2 emissions from the 2010 Russian wildfires using GOSAT data M. Guo et al. 10.1016/j.envpol.2017.04.014
- Wildfire CO2 Emissions in the Conterminous United States from 2015 to 2018 as Estimated by the WRF-Chem Assimilation System from OCO-2 XCO2 Retrievals J. Jin et al. 10.3390/atmos15020186
- Estimating relationships between forest fires and greenhouse gas emissions: circular and cumulative effects or unidirectional causality? V. Martinho 10.1007/s10661-019-7770-z
- Prescribed burning mitigates the severity of subsequent wildfires in Mediterranean shrublands J. Fernández-Guisuraga & P. Fernandes 10.1186/s42408-023-00233-z
- On the integration of LiDAR and field data for riparian biomass estimation M. Latella et al. 10.1016/j.jenvman.2022.116046
- Estimating annual GHG and particulate matter emissions from rural and forest fires based on an integrated modelling approach C. Scarpa et al. 10.1016/j.scitotenv.2023.167960
- Shrub biomass accumulation and growth rate models to quantify carbon stocks and fluxes for the Mediterranean region M. Pasalodos-Tato et al. 10.1007/s10342-015-0870-6
- A model of shrub biomass accumulation as a tool to support management of Portuguese forests B. Botequim et al. 10.3832/ifor0931-008
- Carbon taxation as a means to incentivize forest and fire management R. Pacheco 10.1007/s10668-021-01953-5
- Estimates of greenhouse gas and black carbon emissions from a major Australian wildfire with high spatiotemporal resolution N. Surawski et al. 10.1002/2016JD025087
- Assessing the effect of a fuel break network to reduce burnt area and wildfire risk transmission T. Oliveira et al. 10.1071/WF15146
- The effectiveness of past wildfire at limiting reburning is short-lived in a Mediterranean humid climate D. Davim et al. 10.1186/s42408-023-00227-x
- Comparison of approaches for reporting forest fire-related biomass loss and greenhouse gas emissions in southern Europe M. Chiriacò et al. 10.1071/WF12011
- Contrasting trends of mass and optical properties of aerosols over the Northern Hemisphere from 1992 to 2011 K. Wang et al. 10.5194/acp-12-9387-2012
- A process-based fire parameterization of intermediate complexity in a Dynamic Global Vegetation Model F. Li et al. 10.5194/bg-9-2761-2012
- Fuel dynamics following fire hazard reduction treatments in blue gum (Eucalyptus globulus) plantations in Portugal I. Mirra et al. 10.1016/j.foreco.2017.05.016
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