Wildland fire limits subsequent fire occurrence
Sean A. Parks A C , Carol Miller A , Lisa M. Holsinger A , L. Scott Baggett B and Benjamin J. Bird B
+ Author Affiliations
- Author Affiliations
A Aldo Leopold Wilderness Research Institute, Rocky Mountain Research Station, USDA Forest Service, 790 East Beckwith Avenue, Missoula, MT 59801, USA.
B Rocky Mountain Research Station, USDA Forest Service, 240 West Prospect Road, Fort Collins, CO 80526, USA.
C Corresponding author. Email: sean_parks@fs.fed.us
International Journal of Wildland Fire 25(2) 182-190 https://doi.org/10.1071/WF15107
Submitted: 2 June 2015 Accepted: 9 September 2015 Published: 5 November 2015
Abstract
Several aspects of wildland fire are moderated by site- and landscape-level vegetation changes caused by previous fire, thereby creating a dynamic where one fire exerts a regulatory control on subsequent fire. For example, wildland fire has been shown to regulate the size and severity of subsequent fire. However, wildland fire has the potential to influence other properties of subsequent fire. One of those properties – the extent to which a previous wildland fire inhibits new fires from igniting and spreading within its perimeter – is the focus of our study. In four large wilderness study areas in the western United States (US), we evaluated whether or not wildland fire regulated the ignition and spread (hereafter occurrence) of subsequent fire. Results clearly indicate that wildland fire indeed regulates subsequent occurrence of fires ≥ 20 ha in all study areas. We also evaluated the longevity of the regulating effect and found that wildland fire limits subsequent fire occurrence for nine years in the warm/dry study area in the south-western US and over 20 years in the cooler/wetter study areas in the northern Rocky Mountains. Our findings expand upon our understanding of the regulating capacity of wildland fire and the importance of wildland fire in creating and maintaining resilience to future fire events.
Additional keywords: age-dependence, failure time analysis, fire as a fuel treatment, fire history, hazard analysis, ignition, self-limiting, self-regulation, survival analysis, wilderness.
References
Abatzoglou JT, Kolden CA (2011) Relative importance of weather and climate on wildfire growth in interior Alaska. International Journal of Wildland Fire 20, 479–486.| Relative importance of weather and climate on wildfire growth in interior Alaska.Crossref | GoogleScholarGoogle Scholar |
Agee JK (1993) Fire Ecology of Pacific Northwest Forests. Washington, D.C., Island Press.
Agee JK (1999) Fire effects on landscape fragmentation in interior west forests. In ‘Forest fragmentation: wildlife and management implications’. (Eds JA Rochelle, LA Lehmann, J Wisniewski) pp. 43–60. (Koninklijke Brill NV: Leiden, Netherlands)
Arno SF, Parsons DJ, Keane RE (2000) Mixed-severity fire regimes in the northern Rocky Mountains: consequences of fire exclusion and options for the future. Wilderness Science in a Time of Change Conference, Missoula, MT, USDA Forest Service, Rocky Mountain Research Station, RMRS-P-15-VOL-5.
Barrett SW, Arno SF, Key CH (1991) Fire regimes of western larch – lodgepole pine forests in Glacier National Park, Montana. Canadian Journal of Forest Research 21, 1711–1720.
| Fire regimes of western larch – lodgepole pine forests in Glacier National Park, Montana.Crossref | GoogleScholarGoogle Scholar |
Bartlein PJ, Hostetler SW, Shafer SL, Holman JO, Solomon AM (2008) Temporal and spatial structure in a daily wildfire-start data set from the western United States (1986–96). International Journal of Wildland Fire 17, 8–17.
| Temporal and spatial structure in a daily wildfire-start data set from the western United States (1986–96).Crossref | GoogleScholarGoogle Scholar |
Bradstock RA, Hammill KA, Collins L, Price O (2010) Effects of weather, fuel and terrain on fire severity in topographically diverse landscapes of south-eastern Australia. Landscape Ecology 25, 607–619.
| Effects of weather, fuel and terrain on fire severity in topographically diverse landscapes of south-eastern Australia.Crossref | GoogleScholarGoogle Scholar |
Brown JK, Arno SF, Barrett SW, Menakis JP (1994) Comparing the Prescribed Natural Fire Program with Presettlement Fires in the Selway-Bitterroot Wilderness. International Journal of Wildland Fire 4, 157–168.
| Comparing the Prescribed Natural Fire Program with Presettlement Fires in the Selway-Bitterroot Wilderness.Crossref | GoogleScholarGoogle Scholar |
Brown TJ, Hall BL, Mohrle CR, Reinbold HJ (2002) Coarse Assessment of the Federal Wildland Fire Occurrence Data: Report for the national wildfire coordinating group. Program for Climate, Ecosystem and Fire Applications, Desert Research Institute. CEFA Report 02–04.
Calkin DE, Thompson MP, Finney MA (2015) Negative consequences of positive feedbacks in US wildfire management. Forest Ecosystems 2, 9
| Negative consequences of positive feedbacks in US wildfire management.Crossref | GoogleScholarGoogle Scholar |
Chang Y, Zhu ZL, Bu RC, Chen HW, Feng YT, Li YH, Hu YM, Wang ZC (2013) Predicting fire occurrence patterns with logistic regression in Heilongjiang Province, China. Landscape Ecology 28, 1989–2004.
| Predicting fire occurrence patterns with logistic regression in Heilongjiang Province, China.Crossref | GoogleScholarGoogle Scholar |
Chou YH, Minnich RA, Chase RA (1993) Mapping probability of fire occurrence in San-Jacinto Mountains, California, USA. Environmental Management 17, 129–140.
| Mapping probability of fire occurrence in San-Jacinto Mountains, California, USA.Crossref | GoogleScholarGoogle Scholar |
Cleveland CC, Townsend AR, Schimel DS, Fisher H, Howarth RW, Hedin LO, Perakis SS, Latty EF, Von Fischer JC, Elseroad A, Wasson MF (1999) Global patterns of terrestrial biological nitrogen (N-2) fixation in natural ecosystems. Global Biogeochemical Cycles 13, 623–645.
| Global patterns of terrestrial biological nitrogen (N-2) fixation in natural ecosystems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1MXkslOru7s%3D&md5=2ca5c454d425179b93a89831bb824087CAS |
Cochrane MA, Alencar A, Schulze MD, Souza CM, Nepstad DC, Lefebvre P, Davidson EA (1999) Positive feedbacks in the fire dynamic of closed canopy tropical forests. Science 284, 1832–1835.
| Positive feedbacks in the fire dynamic of closed canopy tropical forests.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1MXjvFSqsLw%3D&md5=22017dedd868bbb087bd9d7b3236c16bCAS | 10364555PubMed |
Collins BM, Miller JD, Thode AE, Kelly M, van Wagtendonk JW, Stephens SL (2009) Interactions Among Wildland Fires in a Long-Established Sierra Nevada Natural Fire Area. Ecosystems 12, 114–128.
| Interactions Among Wildland Fires in a Long-Established Sierra Nevada Natural Fire Area.Crossref | GoogleScholarGoogle Scholar |
Crane MF, Fischer WC (1986) Fire ecology of the forest habitat types on central Idaho. USDA Forest Service, Intermountain Research Station. GTR-INT-218.
Davis BH, Miller C, Parks SA (2010) Retrospective fire modeling: quantifying the impacts of fire suppression. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-236WWW. (Fort Collins, CO)
Eidenshink J, Schwind B, Brewer K, Zhu ZL, Quayle B, Howard S (2007) A project for monitoring trends in burn severity. Fire Ecology 3, 3–21.
| A project for monitoring trends in burn severity.Crossref | GoogleScholarGoogle Scholar |
Faivre N, Jin Y, Goulden ML, Randerson JT (2014) Controls on the spatial pattern of wildfire ignitions in Southern California. International Journal of Wildland Fire 23, 799–811.
| Controls on the spatial pattern of wildfire ignitions in Southern California.Crossref | GoogleScholarGoogle Scholar |
Fisher RA (1934) ‘Statistical methods for research workers’, 5th edn. (Oliver and Boyd: Edinburgh, UK)
Geospatial multi-agency coordinating group (GeoMAC) (2013) Fire perimeter dataset (http://rmgsc.cr.usgs.gov/outgoing/GeoMAC).
Héon J, Arseneault D, Parisien M-A (2014) Resistance of the boreal forest to high burn rates. Proceedings of the National Academy of Sciences of the United States of America 111, 13 888–13 893.
| Resistance of the boreal forest to high burn rates.Crossref | GoogleScholarGoogle Scholar |
Holden ZA, Morgan P, Evans JS (2009) A predictive model of burn severity based on 20-year satellite-inferred burn severity data in a large southwestern US wilderness area. Forest Ecology and Management 258, 2399–2406.
| A predictive model of burn severity based on 20-year satellite-inferred burn severity data in a large southwestern US wilderness area.Crossref | GoogleScholarGoogle Scholar |
Jácome M, Cao R (2007) Almost sure asymptotic representation for the presmoothed distribution and density estimators for censored data. Statistics 41, 517–534.
| Almost sure asymptotic representation for the presmoothed distribution and density estimators for censored data.Crossref | GoogleScholarGoogle Scholar |
Keane RE, Gray K (2013) Comparing three sampling techniques for estimating fine woody down dead biomass. International Journal of Wildland Fire 22, 1093–1107.
| Comparing three sampling techniques for estimating fine woody down dead biomass.Crossref | GoogleScholarGoogle Scholar |
Keane RE, Morgan P, Menakis JP (1994) Landscape assessment of the decline of whitebark-pine (pinus-albicaulis) in the Bob Marshall Wilderness Complex, Montana, USA. Northwest Science 68, 213–229.
Key CH, Benson NC (2006) Landscape assessment (LA). In ‘FIREMON: fire effects monitoring and inventory system’. (Eds D Lutes, RE Keane, JF Caratti, CH Key, NC Benson, S Sutherland, L Gangi). USDA Forest Service, Ricky Mountain Research Station, General Technical Report RMRS-GTR-164-CD, p. LA-1-55. (Fort Collins, CO)
Krawchuk MA, Moritz MA (2011) Constraints on global fire activity vary across a resource gradient. Ecology 92, 121–132.
| Constraints on global fire activity vary across a resource gradient.Crossref | GoogleScholarGoogle Scholar | 21560682PubMed |
Krawchuk MA, Cumming SG, Flannigan MD, Wein RW (2006) Biotic and abiotic regulation of lightning fire initiation in the mixedwood boreal forest. Ecology 87, 458–468.
| Biotic and abiotic regulation of lightning fire initiation in the mixedwood boreal forest.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD283jtVWrtA%3D%3D&md5=6db87e17d0b976930b6e647d689e1101CAS | 16637370PubMed |
Larson AJ, Belote RT, Cansler CA, Parks SA, Dietz MS (2013) Latent resilience in ponderosa pine forest: effects of resumed frequent fire. Ecological Applications 23, 1243–1249.
| Latent resilience in ponderosa pine forest: effects of resumed frequent fire.Crossref | GoogleScholarGoogle Scholar | 24147398PubMed |
Lindsey JC, Ryan LM (1998) Tutorial in biostatistics – Methods for interval-censored data. Statistics in Medicine 17, 219–238.
| Tutorial in biostatistics – Methods for interval-censored data.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK1c7ksVOhtg%3D%3D&md5=44e7d953dae9e6862c99a576170f398dCAS | 9483730PubMed |
López-de-Ullibarri I, Jacome MA (2013) survPresmooth: An R Package for Presmoothed Estimation in Survival Analysis. Journal of Statistical Software 54, 1–26.
Mack MC, Treseder KK, Manies KL, Harden JW, Schuur EAG, Vogel JG, Randerson JT, Chapin FS (2008) Recovery of aboveground plant biomass and productivity after fire in mesic and dry black spruce forests of interior Alaska. Ecosystems 11, 209–225.
| Recovery of aboveground plant biomass and productivity after fire in mesic and dry black spruce forests of interior Alaska.Crossref | GoogleScholarGoogle Scholar |
McCaw WL, Gould JS, Cheney NP, Ellis PF, Anderson WR (2012) Changes in behaviour of fire in dry eucalypt forest as fuel increases with age. Forest Ecology and Management 271, 170–181.
| Changes in behaviour of fire in dry eucalypt forest as fuel increases with age.Crossref | GoogleScholarGoogle Scholar |
McKenzie D, Miller C, Falk DA (2011) Toward a theory of landscape fire. In ‘The landscape ecology of fire.’ (Eds D McKenzie, C Miller, DA Falk) pp. 3–25. (Springer: Dordrecht, Netherlands).
Meyn A, White PS, Buhk C, Jentsch A (2007) Environmental drivers of large, infrequent wildfires: the emerging conceptual model. Progress in Physical Geography 31, 287–312.
| Environmental drivers of large, infrequent wildfires: the emerging conceptual model.Crossref | GoogleScholarGoogle Scholar |
Miller JD, Thode AE (2007) Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote Sensing of Environment 109, 66–80.
| Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR).Crossref | GoogleScholarGoogle Scholar |
Miller JD, Skinner CN, Safford HD, Knapp EE, Ramirez CM (2012) Trends and causes of severity, size, and number of fires in northwestern California, USA. Ecological Applications 22, 184–203.
| Trends and causes of severity, size, and number of fires in northwestern California, USA.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC38rhvVamtg%3D%3D&md5=ddc498d58ec8e47898107a9f61c21117CAS | 22471083PubMed |
Moritz MA (2003) Spatiotemporal analysis of controls on shrubland fire regimes: Age dependency and fire hazard. Ecology 84, 351–361.
| Spatiotemporal analysis of controls on shrubland fire regimes: Age dependency and fire hazard.Crossref | GoogleScholarGoogle Scholar |
Moritz MA, Keeley JE, Johnson EA, Schaffner AA (2004) Testing a basic assumption of shrubland fire management: how important is fuel age? Frontiers in Ecology and the Environment 2, 67–72.
| Testing a basic assumption of shrubland fire management: how important is fuel age?Crossref | GoogleScholarGoogle Scholar |
Moritz MA, Moody TJ, Miles LJ, Smith MM, de Valpine P (2009) The fire frequency analysis branch of the pyrostatistics tree: sampling decisions and censoring in fire interval data. Environmental and Ecological Statistics 16, 271–289.
| The fire frequency analysis branch of the pyrostatistics tree: sampling decisions and censoring in fire interval data.Crossref | GoogleScholarGoogle Scholar |
Narayanaraj G, Wimberly MC (2011) Influences of forest roads on the spatial pattern of wildfire boundaries. International Journal of Wildland Fire 20, 792–803.
| Influences of forest roads on the spatial pattern of wildfire boundaries.Crossref | GoogleScholarGoogle Scholar |
Nitschke CR, Innes JL (2008) Climatic change and fire potential in South-Central British Columbia, Canada. Global Change Biology 14, 841–855.
| Climatic change and fire potential in South-Central British Columbia, Canada.Crossref | GoogleScholarGoogle Scholar |
Parisien MA, Moritz MA (2009) Environmental controls on the distribution of wildfire at multiple spatial scales. Ecological Monographs 79, 127–154.
| Environmental controls on the distribution of wildfire at multiple spatial scales.Crossref | GoogleScholarGoogle Scholar |
Parisien M-A, Parks SA, Krawchuk MA, Little JM, Flannigan MD, Gowman LM, Moritz MA (2014) An analysis of controls on fire activity in boreal Canada: comparing models built with different temporal resolutions. Ecological Applications 24, 1341–1356.
| An analysis of controls on fire activity in boreal Canada: comparing models built with different temporal resolutions.Crossref | GoogleScholarGoogle Scholar |
Parks SA (2014) Mapping day-of-burning with coarse-resolution satellite fire-detection data. International Journal of Wildland Fire 23, 215–223.
| Mapping day-of-burning with coarse-resolution satellite fire-detection data.Crossref | GoogleScholarGoogle Scholar |
Parks SA, Parisien M-A, Miller C (2012) Spatial bottom-up controls on fire likelihood vary across western North America. Ecosphere 3, 12
| Spatial bottom-up controls on fire likelihood vary across western North America.Crossref | GoogleScholarGoogle Scholar |
Parks SA, Miller C, Nelson CR, Holden ZA (2014a) Previous fires moderate burn severity of subsequent wildland fires in two large western US wilderness areas. Ecosystems 17, 29–42.
| Previous fires moderate burn severity of subsequent wildland fires in two large western US wilderness areas.Crossref | GoogleScholarGoogle Scholar |
Parks SA, Parisien M-A, Miller C, Dobrowski SZ (2014b) Fire activity and severity in the western US vary along proxy gradients representing fuel amount and fuel moisture. PLoS One 9, e99699
| Fire activity and severity in the western US vary along proxy gradients representing fuel amount and fuel moisture.Crossref | GoogleScholarGoogle Scholar | 24941290PubMed |
Parks SA, Holsinger LM, Miller C, Nelson CR (2015) Wildland fire as a self-regulating mechanism: the role of previous burns and weather in limiting fire progression. Ecological Applications 25, 1478–1492.
| Wildland fire as a self-regulating mechanism: the role of previous burns and weather in limiting fire progression.Crossref | GoogleScholarGoogle Scholar |
Penman T, Bradstock R, Price O (2013) Modelling the determinants of ignition in the Sydney Basin, Australia: implications for future management. International Journal of Wildland Fire 22, 469–478.
| Modelling the determinants of ignition in the Sydney Basin, Australia: implications for future management.Crossref | GoogleScholarGoogle Scholar |
Peterson GD (2002) Contagious disturbance, ecological memory, and the emergence of landscape pattern. Ecosystems 5, 329–338.
| Contagious disturbance, ecological memory, and the emergence of landscape pattern.Crossref | GoogleScholarGoogle Scholar |
Peterson D, Wang J, Ichoku C, Remer LA (2010) Effects of lightning and other meteorological factors on fire activity in the North American boreal forest: implications for fire weather forecasting. Atmospheric Chemistry and Physics 10, 6873–6888.
| Effects of lightning and other meteorological factors on fire activity in the North American boreal forest: implications for fire weather forecasting.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhtFKlt7vI&md5=9518f6d4080296db4b5d593ad35a4c3aCAS |
Pierce AD, Farris CA, Taylor AH (2012) Use of random forests for modeling and mapping forest canopy fuels for fire behavior analysis in Lassen Volcanic National Park, California, USA. Forest Ecology and Management 279, 77–89.
| Use of random forests for modeling and mapping forest canopy fuels for fire behavior analysis in Lassen Volcanic National Park, California, USA.Crossref | GoogleScholarGoogle Scholar |
Price OF, Bradstock RA (2012) The efficacy of fuel treatment in mitigating property loss during wildfires: Insights from analysis of the severity of the catastrophic fires in 2009 in Victoria, Australia. Journal of Environmental Management 113, 146–157.
| The efficacy of fuel treatment in mitigating property loss during wildfires: Insights from analysis of the severity of the catastrophic fires in 2009 in Victoria, Australia.Crossref | GoogleScholarGoogle Scholar | 23025983PubMed |
Price OF, Pausas JG, Govender N, Flannigan M, Fernandes PM, Brooks ML, Bird RB (2015) Global patterns in fire leverage: the response of annual area burnt to previous fire. International Journal of Wildland Fire 24, 297–306.
| Global patterns in fire leverage: the response of annual area burnt to previous fire.Crossref | GoogleScholarGoogle Scholar |
R Development Core Team (2007) R: A language and environment for statistical computing. R foundation for computing. Vienna, Austria.
Renkin RA, Despain DG (1992) Fuel moisture, forest type, and lightning-caused fire in Yellowstone National Park. Canadian Journal of Forest Research 22, 37–45.
| Fuel moisture, forest type, and lightning-caused fire in Yellowstone National Park.Crossref | GoogleScholarGoogle Scholar |
Rollins MG (2009) LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment. International Journal of Wildland Fire 18, 235–249.
| LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment.Crossref | GoogleScholarGoogle Scholar |
Rollins MG, Morgan P, Swetnam T (2002) Landscape-scale controls over 20(th) century fire occurrence in two large Rocky Mountain (USA) wilderness areas. Landscape Ecology 17, 539–557.
| Landscape-scale controls over 20(th) century fire occurrence in two large Rocky Mountain (USA) wilderness areas.Crossref | GoogleScholarGoogle Scholar |
Schoennagel T, Veblen TT, Romme WH (2004) The interaction of fire, fuels, and climate across rocky mountain forests. Bioscience 54, 661–676.
| The interaction of fire, fuels, and climate across rocky mountain forests.Crossref | GoogleScholarGoogle Scholar |
Sedano F, Randerson JT (2014) Multi-scale influence of vapor pressure deficit on fire ignition and spread in boreal forest ecosystems. Biogeosciences 11, 3739–3755.
| Multi-scale influence of vapor pressure deficit on fire ignition and spread in boreal forest ecosystems.Crossref | GoogleScholarGoogle Scholar |
Senici D, Chen HYH, Bergeron Y, Cyr D (2010) Spatiotemporal variations of fire frequency in central boreal forest. Ecosystems 13, 1227–1238.
| Spatiotemporal variations of fire frequency in central boreal forest.Crossref | GoogleScholarGoogle Scholar |
Short KC (2014) A spatial database of wildfires in the United States, 1992–2011. Earth System Science Data 6, 1–27.
| A spatial database of wildfires in the United States, 1992–2011.Crossref | GoogleScholarGoogle Scholar |
Swetnam TW, Dieterich JH (1985) Fire history of ponderosa pine forests in the Gila Wilderness, New Mexico. In ‘Proceedings – symposium and workshop on wilderness fire’. (Eds JE Lotan, BM Kilgore, WC Fischer and RW Mutch) USDA Forest Service General Technical Report GTR-INT-182. (Ogden, UT)
Syphard AD, Radeloff VC, Keeley JE, Hawbaker TJ, Clayton MK, Stewart SI, Hammer RB (2007) Human influence on Califoirnia fire regimes. Ecological Applications 17, 1388–1402.
| Human influence on Califoirnia fire regimes.Crossref | GoogleScholarGoogle Scholar | 17708216PubMed |
Syphard AD, Radeloff VC, Hawbaker TJ, Stewart SI (2009) Conservation Threats Due to Human-Caused Increases in Fire Frequency in Mediterranean-Climate Ecosystems. Conservation Biology 23, 758–769.
| Conservation Threats Due to Human-Caused Increases in Fire Frequency in Mediterranean-Climate Ecosystems.Crossref | GoogleScholarGoogle Scholar | 22748094PubMed |
Tanner MA, Wong WH (1983) The estimation of the hazard function from randomly censored data by the kernel method. Annals of Statistics 11, 989–993.
| The estimation of the hazard function from randomly censored data by the kernel method.Crossref | GoogleScholarGoogle Scholar |
Thatcher N, Chang A, Parikh P, Rodrigues Pereira J, Ciuleanu T, von Pawel J, Thongprasert S, Tan EH, Pemberton K, Archer V, Carroll K (2005) Gefitinib plus best supportive care in previously treated patients with refractory advanced non-small-cell lung cancer: results from a randomised, placebo-controlled, multicentre study (Iressa Survival Evaluation in Lung Cancer). Lancet 366, 1527–1537.
| Gefitinib plus best supportive care in previously treated patients with refractory advanced non-small-cell lung cancer: results from a randomised, placebo-controlled, multicentre study (Iressa Survival Evaluation in Lung Cancer).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXhtFKhsbfP&md5=f00f7e802da396c04e57a3ef6a0792ffCAS | 16257339PubMed |
Therneau T (2014) A package for survival analysis in R - R package version 2.37–7, http://CRAN.R-project.org/package=survival.
USDA Forest Service (2003) The Frank Church – river of no return wilderness management plan. Available at http://www.wilderness.net/toolboxes/documents/resourceProtection/FCRNRW%20Plan%20Table%20of%20Contents.pdf [Verified 29 September 2015]
USDA Forest Service (2013) MODIS Fire detection GIS data, available at: http://activefiremaps.fs.fed.us/gisdata.php.
Wang X, Parisien M-A, Flannigan MD, Parks SA, Anderson KR, Little JM, Taylor SW (2014) The potential and realized spread of wildfires across Canada. Global Change Biology 20, 2518–2530.
| The potential and realized spread of wildfires across Canada.Crossref | GoogleScholarGoogle Scholar | 24700739PubMed |
