Articles citing this paper
Spatially explicit forecasts of large wildland fire probability and suppression costs for California
Haiganoush K. Preisler A G , Anthony L. Westerling B , Krista M. Gebert C F , Francisco Munoz-Arriola D and Thomas P. Holmes E
+ Author Affiliations
- Author Affiliations
A USDA Forest Service, Pacific Southwest Research Station, 800 Buchanan Street, West Annex Building, Albany, CA 94710, USA.
B University of California – Merced, 5200 N. Lake Road, Merced, CA 95343, USA.
C USDA Forest Service, Rocky Mountain Research Station, PO Box 7669, Missoula, MT 59807, USA.
D University of California – San Diego, 9500 Gilman Drive, San Diego, CA 92093-5004, USA.
E USDA Forest Service, Southern Research Station, Forestry Sciences Lab, PO Box 12254, Research Triangle Park, NC 27709, USA.
F Present address: USDA Forest Service, Northern Region, 200 East Broadway, PO Box 7669, Missoula, MT 59807, USA.
G Corresponding author. Email: hpreisler@fs.fed.us
International Journal of Wildland Fire 20(4) 508-517 https://doi.org/10.1071/WF09087
Submitted: 8 August 2009 Accepted: 13 August 2010 Published: 20 June 2011
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Gan Jianbang, Cho Sung
Forests. 2015 6(9). p.3197
Spatial patterns and controls on burned area for two contrasting fire regimes in Southern California
Faivre N. R.,
Jin Y.,
Goulden M. L., Randerson J. T.
Ecosphere. 2016 7(5).
Dynamic Analysis and Pattern Visualization of Forest Fires
Lopes António M.,
Tenreiro Machado J. A., Gomez-Gardenes Jesus
PLoS ONE. 2014 9(8). p.e105465
The Role of Previous Fires in the Management and Expenditures of Subsequent Large Wildfires
Belval Erin J,
O’Connor Christopher D,
Thompson Matthew P, Hand Michael S
Fire. 2019 2(4). p.57
Predicting daily initial attack aircraft targets in British Columbia
Taylor S. W., Nadeem K.
International Journal of Wildland Fire. 2022 31(4).
The El Niño Southern Oscillation index and wildfire prediction in British Columbia
Xu Zhen, van Kooten G. Cornelis
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Forecasting Global Fire Emissions on Subseasonal to Seasonal (S2S) Time Scales
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Randerson James T.,
Coffield Shane R.,
Foufoula‐Georgiou Efi,
Smyth Padhraic,
Graff Casey A.,
Morton Douglas C.,
Andela Niels,
van der Werf Guido R.,
Giglio Louis, Ott Lesley E.
Journal of Advances in Modeling Earth Systems. 2020 12(9).
Estimating Forest Fire Losses Using Stochastic Approach: Case Study of the Kroumiria Mountains (Northwestern Tunisia)
Toujani Ahmed,
Achour Hammadi, Faïz Sami
Applied Artificial Intelligence. 2018 32(9-10). p.882
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Juang C. S.,
Williams A. P.,
Abatzoglou J. T.,
Balch J. K.,
Hurteau M. D., Moritz M. A.
Geophysical Research Letters. 2022 49(5).
Developing Models to Predict the Number of Fire Hotspots from an Accumulated Fuel Dryness Index by Vegetation Type and Region in Mexico
Vega-Nieva D.,
Briseño-Reyes J.,
Nava-Miranda M.,
Calleros-Flores E.,
López-Serrano P.,
Corral-Rivas J.,
Montiel-Antuna E.,
Cruz-López M.,
Cuahutle M.,
Ressl R.,
Alvarado-Celestino E.,
González-Cabán A.,
Jiménez E.,
Álvarez-González J.,
Ruiz-González A.,
Burgan R., Preisler H.
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Annual Review of Statistics and Its Application. 2019 6(1). p.197
Projection of wildfire activity in southern California in the mid-twenty-first century
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Mickley Loretta J., Logan Jennifer A.
Climate Dynamics. 2014 43(7-8). p.1973
Scenarios for future wildfire risk in California: links between changing demography, land use, climate, and wildfire
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Environmetrics. 2014 25(6). p.454
Guidelines for effective evaluation and comparison of wildland fire occurrence prediction models
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Human-Related Ignitions Increase the Number of Large Wildfires across U.S. Ecoregions
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Fusco Emily,
Bradley Bethany,
Abatzoglou John T., Balch Jennifer
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Assessing the potential of wildfires as a sustainable bioenergy opportunity
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Jobbágy Esteban G.,
Di Bella Carlos M.,
Paruelo José M., Jackson Robert B.
GCB Bioenergy. 2012 4(6). p.634
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Aguado I.,
Jurdao S.,
Pettinari M. L.,
Yebra M.,
Salas J.,
Hantson S.,
de la Riva J.,
Ibarra P.,
Rodrigues M.,
Echeverría M.,
Azqueta D.,
Román M. V.,
Bastarrika A.,
Martínez S.,
Recondo C.,
Zapico E., Martínez-Vega F. J.
International Journal of Wildland Fire. 2014 23(5). p.606
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Agee James,
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Alvarado-Celestino Ernesto, Burgan Robert E.
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Buja Lawrence,
Cutter Susan L.,
Kosovic Branko,
Lareau Neil,
Meacham Brian J.,
Rowell Eric,
Taciroglu Ertugrul,
Thompson Matthew P., Watts Adam C.
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Wiedinmyer Christine, Bryant Benjamin P.
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Dynamic prediction of global monthly burned area with hybrid deep neural networks
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Ecological Applications. 2022 32(5).
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Aryal Jagannath,
Bakar K. Shuvo,
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Ecological Applications. 2015 25(4). p.1099
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Thompson Matthew P.,
Oprea Iuliana,
Tabatabaei Maryam, Calkin Dave E.
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Estimating wildfire suppression costs: a systematic review
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Ferrara C.,
Lombardo E.,
Barbati A.,
Salvati L., Tomao A.
International Forestry Review. 2022 24(1). p.15
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Bryant B. P.,
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Hidalgo H. G.,
Das T., Shrestha S. R.
Climatic Change. 2011 109(S1). p.445
Wildfire Prediction to Inform Fire Management: Statistical Science Challenges
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Statistical Science. 2013 28(4).
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Haas Jessica R.,
Finney Mark A.,
Calkin David E.,
Hand Michael S.,
Browne Mark J.,
Halek Martin,
Short Karen C., Grenfell Isaac C.
Forest Policy and Economics. 2015 50 p.249
How much global burned area can be forecast on seasonal time scales using sea surface temperatures?
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Andela Niels,
Giglio Louis, Randerson James T
Environmental Research Letters. 2016 11(4). p.045001
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Forest fire risk assessment using point process modelling of fire occurrence and Monte Carlo fire simulation
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International Journal of Wildland Fire. 2017 26(9). p.789
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McEvoy Daniel J.,
Nauslar Nicholas J.,
Hegewisch Katherine C., Huntington Justin L.
Atmospheric Science Letters. 2023 24(8).
The impact of land ownership, firefighting, and reserve status on fire probability in California
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Butsic Van,
Stephens Connor, Stewart William
Environmental Research Letters. 2018 13(3). p.034025
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