Articles | Volume 12, issue 22
https://doi.org/10.5194/bg-12-6591-2015
© Author(s) 2015. 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-12-6591-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Nov 2015
Research article |
| 19 Nov 2015
Quantifying regional, time-varying effects of cropland and pasture on vegetation fire
Princeton University, Dept. of Ecology and Evolutionary Biology, Princeton, NJ, USA
B. I. Magi
University of North Carolina at Charlotte, Geography and Earth Sciences Department, Charlotte, NC, USA
E. Shevliakova
GFDL-Princeton University Cooperative Institute for Climate Science, Princeton, NJ, USA
S. W. Pacala
Princeton University, Dept. of Ecology and Evolutionary Biology, Princeton, NJ, USA
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Cited
27 citations as recorded by crossref.
- When do Farmers Burn Pasture in Brazil: A Model-Based Approach to Determine Burning Date M. Brunel et al. 10.1016/j.rama.2021.08.003
- Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. 10.5194/bg-16-3883-2019
- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
- Mapping Cropland Burned Area in Northeastern China by Integrating Landsat Time Series and Multi-Harmonic Model J. Liu et al. 10.3390/rs13245131
- A spatio-temporal analysis of fire occurrence patterns in the Brazilian Amazon F. Valente & M. Laurini 10.1038/s41598-023-39875-z
- The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions S. Rabin et al. 10.5194/gmd-10-1175-2017
- Post-Soviet Land-Use Change Affected Fire Regimes on the Eurasian Steppes A. Dara et al. 10.1007/s10021-019-00447-w
- Evaluation of fire severity in fire prone-ecosystems of Spain under two different environmental conditions P. García-Llamas et al. 10.1016/j.jenvman.2020.110706
- Modelling the drivers of natural fire activity: the bias created by cropland fires İ. Bekar & Ç. Tavşanoğlu 10.1071/WF16183
- Global expansion of wildland-urban interface intensifies human exposure to wildfire risk in the 21st century Y. Guo et al. 10.1126/sciadv.ado9587
- Global Modern Charcoal Dataset (GMCD): A tool for exploring proxy-fire linkages and spatial patterns of biomass burning D. Hawthorne et al. 10.1016/j.quaint.2017.03.046
- Trends and Variability of Global Fire Emissions Due To Historical Anthropogenic Activities D. Ward et al. 10.1002/2017GB005787
- Land-Cover Dependent Relationships between Fire and Soil Moisture A. Schaefer & B. Magi 10.3390/fire2040055
- 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. 10.5194/gmd-10-3329-2017
- 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
- The GFDL Earth System Model Version 4.1 (GFDL‐ESM 4.1): Overall Coupled Model Description and Simulation Characteristics J. Dunne et al. 10.1029/2019MS002015
- Study on Spatial-Distribution Characteristics Based on Fire-Spot Data in Northern China Y. Tian et al. 10.3390/su14116872
- Input-driven versus turnover-driven controls of simulated changes in soil carbon due to land-use change S. Nyawira et al. 10.1088/1748-9326/aa7ca9
- Spatial and Temporal Variability and Trends in 2001–2016 Global Fire Activity N. Earl & I. Simmonds 10.1002/2017JD027749
- 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. 10.5194/gmd-12-89-2019
- Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China Y. Shen et al. 10.3390/rs13030404
- Large Enhancements in Southern Hemisphere Satellite‐Observed Trace Gases Due to the 2019/2020 Australian Wildfires R. Pope et al. 10.1029/2021JD034892
- Accounting for forest fire risks: global insights for climate change mitigation L. Chu et al. 10.1007/s11027-023-10087-0
- Modelling the effects of potential climate change on the dynamics of multi-species mountain pastures: A case study in Gran Paradiso National Park, Italy S. Morgese et al. 10.1016/j.agsy.2024.103942
- A Global Analysis of Hunter-Gatherers, Broadcast Fire Use, and Lightning-Fire-Prone Landscapes M. Coughlan et al. 10.3390/fire1030041
- 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
- Using soil moisture information to better understand and predict wildfire danger: a review of recent developments and outstanding questions E. Krueger et al. 10.1071/WF22056
27 citations as recorded by crossref.
- When do Farmers Burn Pasture in Brazil: A Model-Based Approach to Determine Burning Date M. Brunel et al. 10.1016/j.rama.2021.08.003
- Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. 10.5194/bg-16-3883-2019
- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
- Mapping Cropland Burned Area in Northeastern China by Integrating Landsat Time Series and Multi-Harmonic Model J. Liu et al. 10.3390/rs13245131
- A spatio-temporal analysis of fire occurrence patterns in the Brazilian Amazon F. Valente & M. Laurini 10.1038/s41598-023-39875-z
- The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions S. Rabin et al. 10.5194/gmd-10-1175-2017
- Post-Soviet Land-Use Change Affected Fire Regimes on the Eurasian Steppes A. Dara et al. 10.1007/s10021-019-00447-w
- Evaluation of fire severity in fire prone-ecosystems of Spain under two different environmental conditions P. García-Llamas et al. 10.1016/j.jenvman.2020.110706
- Modelling the drivers of natural fire activity: the bias created by cropland fires İ. Bekar & Ç. Tavşanoğlu 10.1071/WF16183
- Global expansion of wildland-urban interface intensifies human exposure to wildfire risk in the 21st century Y. Guo et al. 10.1126/sciadv.ado9587
- Global Modern Charcoal Dataset (GMCD): A tool for exploring proxy-fire linkages and spatial patterns of biomass burning D. Hawthorne et al. 10.1016/j.quaint.2017.03.046
- Trends and Variability of Global Fire Emissions Due To Historical Anthropogenic Activities D. Ward et al. 10.1002/2017GB005787
- Land-Cover Dependent Relationships between Fire and Soil Moisture A. Schaefer & B. Magi 10.3390/fire2040055
- 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. 10.5194/gmd-10-3329-2017
- 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
- The GFDL Earth System Model Version 4.1 (GFDL‐ESM 4.1): Overall Coupled Model Description and Simulation Characteristics J. Dunne et al. 10.1029/2019MS002015
- Study on Spatial-Distribution Characteristics Based on Fire-Spot Data in Northern China Y. Tian et al. 10.3390/su14116872
- Input-driven versus turnover-driven controls of simulated changes in soil carbon due to land-use change S. Nyawira et al. 10.1088/1748-9326/aa7ca9
- Spatial and Temporal Variability and Trends in 2001–2016 Global Fire Activity N. Earl & I. Simmonds 10.1002/2017JD027749
- 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. 10.5194/gmd-12-89-2019
- Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China Y. Shen et al. 10.3390/rs13030404
- Large Enhancements in Southern Hemisphere Satellite‐Observed Trace Gases Due to the 2019/2020 Australian Wildfires R. Pope et al. 10.1029/2021JD034892
- Accounting for forest fire risks: global insights for climate change mitigation L. Chu et al. 10.1007/s11027-023-10087-0
- Modelling the effects of potential climate change on the dynamics of multi-species mountain pastures: A case study in Gran Paradiso National Park, Italy S. Morgese et al. 10.1016/j.agsy.2024.103942
- A Global Analysis of Hunter-Gatherers, Broadcast Fire Use, and Lightning-Fire-Prone Landscapes M. Coughlan et al. 10.3390/fire1030041
- 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
- Using soil moisture information to better understand and predict wildfire danger: a review of recent developments and outstanding questions E. Krueger et al. 10.1071/WF22056
Saved (final revised paper)
Latest update: 17 Nov 2024
Short summary
People worldwide use fire to manage agriculture, but often also suppress fire in the landscape surrounding their fields. Here, we estimate the net result of these effects of cropland and pasture on fire at a regional, monthly level. Pasture is shown, for the first time, to contribute strongly to global patterns of burning. Our results could be used to improve representations of burning in global vegetation and climate models, improving our understanding of how people affect the Earth system.
People worldwide use fire to manage agriculture, but often also suppress fire in the landscape...
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