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Articles citing this paper

Spatial variability in wildfire probability across the western United States

Marc-André Parisien A B G , Susan Snetsinger C , Jonathan A. Greenberg D , Cara R. Nelson C , Tania Schoennagel E , Solomon Z. Dobrowski F and Max A. Moritz B
+ Author Affiliations
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A Northern Forestry Centre, Canadian Forest Service, Natural Resources Canada, 5320 122nd Street, Edmonton, AB, T5H 3S5, Canada.

B Department of Environmental Science, Policy and Management, University of California – Berkeley, 137 Mulford Hall 3114, Berkeley, CA 94720, USA.

C Department of Ecosystem and Conservation Sciences, College of Forestry and Conservation, University of Montana, 32 Campus Drive, Missoula, MT 59812, USA.

D Department of Geography, University of Illinois at Urbana-Champaign, 607 South Mathews Avenue, MC 150, Urbana, IL 61801, USA.

E Department of Geography, University of Colorado, Boulder, Boulder, CO 80309, USA.

F Department of Forest Management, College of Forestry and Conservation, University of Montana, Missoula, MT 59812,USA.

G Corresponding author. Email: marc-andre.parisien@nrcan-rncan.gc.ca

International Journal of Wildland Fire 21(4) 313-327 https://doi.org/10.1071/WF11044
Submitted: 23 March 2011  Accepted: 18 August 2011   Published: 8 February 2012



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Natural Hazards. 2017 87(1). p.415
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International Journal of Disaster Risk Reduction. 2021 62 p.102412
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International Journal of Wildland Fire. 2015 24(1). p.27
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Landscape Ecology. 2016 31(9). p.2079
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Woo Hyeyoung, Eskelson Bianca N. I., Monleon Vicente J.
Ecological Applications. 2021 31(3).
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International Journal of Wildland Fire. 2016 25(9). p.955
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Journal of Environmental Management. 2023 341 p.117903
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Environmental Management. 2015 55(5). p.1200
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Abatzoglou John T., Balch Jennifer K., Bradley Bethany A., Kolden Crystal A.
International Journal of Wildland Fire. 2018 27(6). p.377
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Journal of Geophysical Research: Biogeosciences. 2021 126(2).
Habitat distribution modeling reveals vegetation flammability and land use as drivers of wildfire in SW Patagonia
Paritsis Juan, Holz Andrés, Veblen Thomas T., Kitzberger Thomas
Ecosphere. 2013 4(5). p.1
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Jaafari Abolfazl, Zenner Eric K., Panahi Mahdi, Shahabi Himan
Agricultural and Forest Meteorology. 2019 266-267 p.198
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Jahdi Roghayeh, Salis Michele, Alcasena Fermin J., Arabi Mahdi, Arca Bachisio, Duce Pierpaolo
Natural Hazards. 2020 101(3). p.911
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Tian Yuping, Wu Zechuan, Li Mingze, Wang Bin, Zhang Xiaodi
Remote Sensing. 2022 14(18). p.4431
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Zeng Aicong, Yang Song, Zhu He, Tigabu Mulualem, Su Zhangwen, Wang Guangyu, Guo Futao
Forests. 2022 13(3). p.423
The Ecological Importance of Mixed-Severity Fires (2015)
Whitlock Cathy, DellaSala Dominick A., Wolf Shaye, Hanson Chad T.
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Millard K., Darling S., Pelletier N., Schultz S.
Remote Sensing of Environment. 2022 283 p.113329
Mapping future fire probability under climate change: Does vegetation matter?
Syphard Alexandra D., Sheehan Timothy, Rustigian-Romsos Heather, Ferschweiler Kenneth, Magar Vanesa
PLOS ONE. 2018 13(8). p.e0201680
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Zigner Katelyn, Carvalho Leila M. V., Jones Charles, Benoit John, Duine Gert-Jan, Roberts Dar, Fujioka Francis, Moritz Max, Elmquist Nic, Hazard Rob
Fire. 2022 5(5). p.138
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Arellano-del-Verbo Gonzalo, Urbieta Itziar R., Moreno José M.
Fire. 2023 6(1). p.28
SALIENCE AND THE GOVERNMENT PROVISION OF PUBLIC GOODS
Wibbenmeyer Matthew, Anderson Sarah E., Plantinga Andrew J.
Economic Inquiry. 2019 57(3). p.1547
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires (2019)
Nauslar Nicholas J., Hatchett Benjamin J.
Salience and the Government Provision of Public Goods
Wibbenmeyer Matthew, Anderson Sarah, Plantinga Andrew
SSRN Electronic Journal . 2018
Wildfire Risk Assessment in a Typical Mediterranean Wildland–Urban Interface of Greece
Mitsopoulos Ioannis, Mallinis Giorgos, Arianoutsou Margarita
Environmental Management. 2015 55(4). p.900
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Umunnakwe Amarachi, Parvania Masood, Nguyen Hieu, Horel John D., Davis Katherine R.
IET Generation, Transmission & Distribution. 2022 16(13). p.2531
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Forests. 2016 7(2). p.46
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Barnett Kevin, Parks Sean, Miller Carol, Naughton Helen
Forests. 2016 7(12). p.237
Fire regime zonation under current and future climate over eastern Canada
Boulanger Yan, Gauthier Sylvie, Gray David R., Le Goff Héloïse, Lefort Patrick, Morissette Jacques
Ecological Applications. 2013 23(4). p.904
Effects of climate and land‐use change scenarios on fire probability during the 21st century in the Brazilian Amazon
Fonseca Marisa Gesteira, Alves Lincoln Muniz, Aguiar Ana Paula Dutra, Arai Egidio, Anderson Liana Oighenstein, Rosan Thais Michele, Shimabukuro Yosio Edemir, de Aragão Luiz Eduardo Oliveira e Cruz
Global Change Biology. 2019 25(9). p.2931
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Wu Zechuan, Li Mingze, Wang Bin, Quan Ying, Liu Jianyang
Remote Sensing. 2021 13(9). p.1813
Source regions contributing to excess reactive nitrogen deposition in the Greater Yellowstone Area (GYA) of the United States
Zhang Rui, Thompson Tammy M., Barna Michael G., Hand Jennifer L., McMurray Jill A., Bell Michael D., Malm William C., Schichtel Bret A.
Atmospheric Chemistry and Physics. 2018 18(17). p.12991
Fire Activity and Severity in the Western US Vary along Proxy Gradients Representing Fuel Amount and Fuel Moisture
Parks Sean A., Parisien Marc-André, Miller Carol, Dobrowski Solomon Z., Germino Matthew
PLoS ONE. 2014 9(6). p.e99699
Modelling the spatial variability of wildfire susceptibility in Honduras using remote sensing and geographical information systems
Valdez Miguel Conrado, Chang Kang-Tsung, Chen Chi-Farn, Chiang Shou-Hao, Santos Jorge Luis
Geomatics, Natural Hazards and Risk. 2017 8(2). p.876
The normal fire environment—Modeling environmental suitability for large forest wildfires using past, present, and future climate normals
Davis Raymond, Yang Zhiqiang, Yost Andrew, Belongie Cole, Cohen Warren
Forest Ecology and Management. 2017 390 p.173
Modeling very large-fire occurrences over the continental United States from weather and climate forcing
Barbero R, Abatzoglou J T, Steel E A, K Larkin Narasimhan
Environmental Research Letters. 2014 9(12). p.124009
Fire-regime changes in Canada over the last half century
Hanes Chelene C., Wang Xianli, Jain Piyush, Parisien Marc-André, Little John M., Flannigan Mike D.
Canadian Journal of Forest Research. 2019 49(3). p.256
Different historical fire–climate patterns in California
Keeley Jon E., Syphard Alexandra D.
International Journal of Wildland Fire. 2017 26(4). p.253
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Salis Michele, Ager Alan A., Alcasena Fermin J., Arca Bachisio, Finney Mark A., Pellizzaro Grazia, Spano Donatella
Environmental Monitoring and Assessment. 2015 187(1).
Multivariate spatial regressions help explain wildfire hot spot intensities in Washington, USA
Zerbe Kevin, Cook Tim, Vulcano Audrey
Natural Hazards Research. 2023
A classification scheme to determine wildfires from the satellite record in the cool grasslands of southern Canada: considerations for fire occurrence modelling and warning criteria
Thompson Dan K., Morrison Kimberly
Natural Hazards and Earth System Sciences. 2020 20(12). p.3439
Random subset feature selection for ecological niche models of wildfire activity in Western North America
Tracy James L., Trabucco Antonio, Lawing A. Michelle, Giermakowski J. Tomasz, Tchakerian Maria, Drus Gail M., Coulson Robert N.
Ecological Modelling. 2018 383 p.52
Reliability of cross-regional applications of global fire danger models: a Peruvian case study
Podschwit Harry, Jolly William, Alvarado Ernesto, Verma Satyam, Ponce Blanca, Markos Andrea, Aliaga-Nestares Vannia, Rodriguez-Zimmermann Diego
Fire Ecology. 2022 18(1).
Climatic and anthropogenic drivers of northern Amazon fires during the 2015–2016 El Niño event
Fonseca Marisa G., Anderson Liana O., Arai Egidio, Shimabukuro Yosio E., Xaud Haron A. M., Xaud Maristela R., Madani Nima, Wagner Fabien H., Aragão Luiz E. O. C.
Ecological Applications. 2017 27(8). p.2514
GIS-based spatial prediction of tropical forest fire danger using a new hybrid machine learning method
Tien Bui Dieu, Le Hung Van, Hoang Nhat-Duc
Ecological Informatics. 2018 48 p.104
Cross-regional modelling of fire occurrence in the Alps and the Mediterranean Basin
Bekar İsmail, Tavşanoǧlu Çaǧatay, Pezzatti G. Boris, Vacik Harald, Pausas Juli G., Bugmann Harald, Petter Gunnar
International Journal of Wildland Fire. 2020 29(8). p.712
Distribution of wildland fires and possible hotspots for the Zimbabwean component of Kavango-Zambezi Transfrontier Conservation Area
Mpakairi Kudzai S., Tagwireyi Paradzayi, Ndaimani Henry, Madiri Hilary T.
South African Geographical Journal. 2019 101(1). p.110
Mapping the probability of wildland fire occurrence in Central America, and identifying the key factors
Valdez Miguel Conrado, Chen Chi-Farn, Chicas Santos Daniel, Mizoue Nobuya
International Journal of Wildland Fire. 2023 32(12). p.1758
The global fire-productivity relationship
Pausas Juli G., Ribeiro Eloi
Global Ecology and Biogeography. 2013 22(6). p.728
Wildfire Susceptibility Mapping Using Deep Learning Algorithms in Two Satellite Imagery Dataset
Bahadori Nazanin, Razavi-Termeh Seyed Vahid, Sadeghi-Niaraki Abolghasem, Al-Kindi Khalifa M., Abuhmed Tamer, Nazeri Behrokh, Choi Soo-Mi
Forests. 2023 14(7). p.1325
Widespread exposure to altered fire regimes under 2 °C warming is projected to transform conifer forests of the Western United States
Hoecker Tyler J., Parks Sean A., Krosby Meade, Dobrowski Solomon Z.
Communications Earth & Environment. 2023 4(1).
The climate space of fire regimes in north‐western North America
Whitman Ellen, Batllori Enric, Parisien Marc‐André, Miller Carol, Coop Jonathan D., Krawchuk Meg A., Chong Geneva W., Haire Sandra L.
Journal of Biogeography. 2015 42(9). p.1736
Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks (2020)
Glagolev Vladimir Aleksandrovich, Zubareva Anna Mihailovna
Anthropogenic influence on wildfire activity in Alberta, Canada
Robinne François-Nicolas, Parisien Marc-André, Flannigan Mike
International Journal of Wildland Fire. 2016 25(11). p.1131
Characteristics of the spatial and temporal distribution of fire regime in ONE OF the most fire prone Region Of The Russian Far East
Zubareva Anna M., Glagolev Vladimir A., Grigorieva Elena A.
GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2021 14(2). p.74
Integrated wildfire danger models and factors: A review
Zacharakis Ioannis, Tsihrintzis Vassilios A.
Science of The Total Environment. 2023 899 p.165704
A refinement of models projecting future Canadian fire regimes using homogeneous fire regime zones
Boulanger Yan, Gauthier Sylvie, Burton Philip J.
Canadian Journal of Forest Research. 2014 44(4). p.365
Wildfire Prediction to Inform Fire Management: Statistical Science Challenges
Taylor S. W., Woolford Douglas G., Dean C. B., Martell David L.
Statistical Science. 2013 28(4).
Future southcentral US wildfire probability due to climate change
Stambaugh Michael C., Guyette Richard P., Stroh Esther D., Struckhoff Matthew A., Whittier Joanna B.
Climatic Change. 2018 147(3-4). p.617

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