Skip to main content

Advertisement

Log in

Probabilistic models of fire occurrence across National Park Service units within the Mojave Desert Network, USA

  • Research Article
  • Published:
Landscape Ecology Aims and scope Submit manuscript

Abstract

The frequency and size of wildfires within the Mojave Desert are increasing, possibly due to climate and land cover changes and associated increases in non-native invasive plant biomass, as measured by normalized difference vegetation index (NDVI). These patterns are of particular concern to resource managers in regions where native plant communities are not well adapted to fire. We used an information-theoretic and mixed-model approach to quantify the importance of multiple environmental variables in predicting, separately, the probabilities of occurrence of all fires and the occurrence large (>20 ha) fires in five management units administered by the National Park Service in the Mojave Desert Network and based on fire ignition data obtained for the period 1992–2011. Fire occurrence was strongly associated with areas close to roads, high maximum NDVI values in the year preceding ignition, the desert montane ecological zone, and high topographic roughness. Large fire probability was strongly associated with lightning-caused ignition events, high maximum NDVI values in the spring preceding ignition, high topographic roughness, the middle-elevation shrubland ecological zone, and areas further from roads. Our probabilistic models and maps can be used to explore patterns of fire occurrence based upon variability in NDVI values and to assess the vulnerability of Mojave Desert protected areas to undesirable fire events.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Abatzoglou JT, Kolden CA (2011) Climate change in Western US Deserts: potential for increased wildfire and invasive annual grasses. Rangel Ecol Manag 64:471–478

    Article  Google Scholar 

  • Abella SR, Engel EC, Lund CL, Spencer JE (2009) Early post-fire plant establishment on a Mojave Desert burn. Madroño 56:137–148

    Article  Google Scholar 

  • Anderson DR (2008) Model based inference in the life sciences: a primer on evidence. Springer, New York

    Book  Google Scholar 

  • Archer SR, Predick KI (2008) Climate change and ecosystems of the southwestern United States. Rangelands 30:23–28

    Article  Google Scholar 

  • Balch JK, Bradley BA, D’Antonio CM, Gómez-Dans J (2013) Introduced annual grass increases regional fire activity across the arid western USA (1980–2009). Glob Change Biol 19:173–183

    Article  Google Scholar 

  • Barbieri MM, Berger JO (2004) Optimal predictive model selection. Ann Stat 32:870–897

    Article  Google Scholar 

  • Beatley JC (1974) Phenological events and their environmental triggers in Mojave Desert ecosystems. Ecology 5:856–863

    Article  Google Scholar 

  • Bradley BA, Mustard JF (2006) Characterizing the landscape dynamics of an invasive plant and risk of invasion using remote sensing. Ecol Appl 16:1132–1147

    Article  PubMed  Google Scholar 

  • Brooks ML (1999) Alien annual grasses and fire in the Mojave Desert. Madroño 46:13–19

    Google Scholar 

  • Brooks ML (2000) Competition between alien annual grasses and native annual plants in the Mojave Desert. Am Midl Nat 144:92–108

    Article  Google Scholar 

  • Brooks ML (2012) Effects of high fire frequency in creosote bush scrub vegetation of the Mojave Desert. Int J Wildland Fire 21:61

    Article  Google Scholar 

  • Brooks ML, Berry KH (2006) Dominance and environmental correlates of alien annual plants in the Mojave Desert, USA. J Arid Environ 67:100–124

    Article  Google Scholar 

  • Brooks ML, Chambers JC (2011) Resistance to invasion and resilience to fire in desert shrublands of North America. Rangel Ecol Manag 64:431–438

    Article  Google Scholar 

  • Brooks ML, Esque TC (2002) Alien plants and fire in desert tortoise (Gopherus agassizii) habitat of the Mojave and Colorado deserts. Chelonian Conserv Biol 4:330–340

    Google Scholar 

  • Brooks ML, Matchett JR (2006) Spatial and temporal patterns of wildfires in the Mojave Desert, 1980–2004. J Arid Environ 67:148–164

    Article  Google Scholar 

  • Brooks ML, Pyke DA (2000) Invasive plants and fire in the deserts of North America. In: Proceedings of invasive species workshop: the role of fire in the control and spread of invasive species fire conference, pp 1–14

  • Brooks ML, D’Antonio CM, Richardson DM, Grace JB, Keeley JE, DiTomaso JM, Hobbs RJ, Pellant M, Pyke D (2004a) Effects of invasive alien plants on fire regimes. Bioscience 54:677–688

  • Brooks ML, Matchett J, Wallace C, Esque T (2004b) Fuels mapping and fire hazard assessment in a desert ecosystem. Arid Lands Newsl 55:1–5

    Google Scholar 

  • Brown BE, Minnich RA (1986) Fire and changes in creosote bush scrub of the western Sonoran Desert, California. Am Midl Nat 116:411–422

    Article  Google Scholar 

  • Burnham KP, Anderson DR (2002) Model selection and multi-model inference: a practical information-theoretic approach. Springer, New York

    Google Scholar 

  • Castedo-Dorado F, Rodríguez-Pérez JR, Marcos-Menéndez JL, Álvarez-Taboada MF (2011) Modelling the probability of lightning-induced forest fire occurrence in the province of León (NW Spain). For Syst 20:95–107

    Google Scholar 

  • U.S. Census Bureau (2013) U.S. Census 2012 TIGER/Line© files technical documentation

  • Davies KW, Nafus AM (2013) Exotic annual grass invasion alters fuel amounts, continuity and moisture content. Int J Wildland Fire 22:353–358

    Article  Google Scholar 

  • Dickson BG, Prather JW, Xu Y, Hampton HM, Aumack EN, Sisk TD (2006) Mapping the probability of large fire occurrence in northern Arizona, USA. Landsc Ecol 21:747–761

  • Diggle PJ, Liang K-Y, Zeger SL (1994) Analysis of longitudinal data. Oxford University Press, Oxford

    Google Scholar 

  • Faraway JJ (2006) Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. CRC Press, Boca Raton

    Google Scholar 

  • Finney MA (2005) The challenge of quantitative risk analysis for wildland fire. For Ecol Manag 211:97–108

    Article  Google Scholar 

  • Fry J, Xian G, Jin S, Dewitz J, Homer C, Yang L, Barnes C, Herold N, Wickham J (2011) Completion of the 2006 national land cover database for the conterminous United States. Photogramm Eng Remote Sens 77:858–864

  • Greenville AC, Dickman CR, Wardle GM, Letnic M (2009) The fire history of an arid grassland: the influence of antecedent rainfall and ENSO. Int J Wildland Fire 18:631–639

    Article  Google Scholar 

  • Hawbaker TJ, Radeloff VC, Stewart SI, Hammer RB, Keuler NS, Clayton MK (2013) Human and biophysical influences on fire occurrence in the United States. Ecol Appl 23:565–582

  • Hereford R, Webb RH, Longpré CI (2006) Precipitation history and ecosystem response to multidecadal precipitation variability in the Mojave Desert region, 1893–2001. J Arid Environ 67:13–34

    Article  Google Scholar 

  • Heyerdahl EK, Brubaker LB, Agee JK (2001) Spatial controls of historical fire regimes: a multiscale example from the interior west, USA. Ecology 82:660–678

    Article  Google Scholar 

  • Hughson DL, Busch DE, Davis S, Finn SP, Caicco S, Verburg PSJ (2011) Natural resource mitigation, adaptation and research needs related to climate change in the Great Basin and Mojave Desert: Workshop Summary. US Department of the Interior, US Geological Survey

  • Hunter R (1991) Bromus invasions on the Nevada Test Site: present status of B. rubens and B. tectorum with notes on their relationship to disturbance and altitude. West N Am Naturalist 51:176–182

  • Iniguez JM, Swetnam TW, Yool SR (2008) Topography affected landscape fire history patterns in southern Arizona, USA. For Ecol Manag 256:295–303

    Article  Google Scholar 

  • Keeley JE (1991) Seed germination and life history syndromes in the California chaparral. Bot Rev 57:81–116

    Article  Google Scholar 

  • Keeley JE, Franklin J, D’Antonio C (2011) Fire and invasive plants on California landscapes. In: McKenzie D, Miller C, Falk DA (eds) The landscape ecology of fire. Springer, Dordrecht, pp 193–221

    Chapter  Google Scholar 

  • King G, Zeng L (2001) Logistic regression in rare events data. Polit Anal 9:137–163

    Article  Google Scholar 

  • Knapp PA (1995) Intermountain west lightning-caused fires: climatic predictors of area burned. J Range Manag 48:85–91

    Article  Google Scholar 

  • Knapp PA (1998) Spatio-temporal patterns of large grassland fires in the Intermountain West, USA. Glob Ecol Biogeogr Lett 7:259–272

    Article  Google Scholar 

  • Lenihan JM, Drapek R, Bachelet D, Neilson RP (2003) Climate change effects on vegetation distribution, carbon, and fire in California. Ecol Appl 13:1667–1681

    Article  Google Scholar 

  • Lovich JE, Bainbridge D (1999) Anthropogenic degradation of the southern California desert ecosystem and prospects for natural recovery and restoration. Environ Manag 24:309–326

    Article  Google Scholar 

  • Miao X, Heaton JS, Zheng S, Charlet DA, Liu H (2012) Applying tree-based ensemble algorithms to the classification of ecological zones using multi-temporal multi-source remote-sensing data. Int J Remote Sens 33:1823–1849

  • Neuenschwander LF, Menakis JP, Miller M, Sampson RN, Hardy C, Averill B, Mask R (2000) Indexing Colorado watersheds to risk of wildfire, Chap. 3. J Sustain For 11:35–55

  • Overpeck J, Garfin G, Jardine A (2012) Chapter 1: Summary for decision makers. Assessment of climatic change of southwest United States: a technical report prepared by US National Climatic Assessment Report, Southwest Climate Alliance

  • R Development Core Team (2012) R: a language and environment for statistical computing. Vienna (Austria): R Foundation for Statistical Computing

  • Reynolds JF, Kemp PR, Ogle K, Fernández RJ (2004) Modifying the “pulse–reserve” paradigm for deserts of North America: precipitation pulses, soil water, and plant responses. Oecologia 141:194–210

    Article  PubMed  Google Scholar 

  • Rollins MG, Morgan P, Swetnam T (2002) Landscape-scale controls over 20th century fire occurrence in two large Rocky Mountain (USA) wilderness areas. Landsc Ecol 17:539–557

    Article  Google Scholar 

  • SAS Institute (2012) SAS version 9.3. Cary, NC

  • Short KC (2013) A spatial database of wildfires in the United States, 1992–2011. Earth Syst Sci Data Discuss 6:297–366

    Article  Google Scholar 

  • Syphard AD, Radeloff VC, Keeley JE, Hawbaker TJ, Clayton MK, Stewart SI, Hammer RB (2007) Human influence on California fire regimes. Ecol Appl 17:1388–1402

  • Syphard AD, Radeloff VC, Keuler NS, Taylor RS, Hawbaker TJ, Stewart SI, Clayton MK (2008) Predicting spatial patterns of fire on a southern California landscape. Int J Wildland Fire 17:602–613

  • Taylor AH, Skinner CN (1998) Fire history and landscape dynamics in a late-successional reserve, Klamath Mountains, California, USA. For Ecol Manag 111:285–301

    Article  Google Scholar 

  • Van Linn PF, Nussear KE, Esque TC, DeFalco LA, Inman RD, Abella SR (2013) Estimating wildfire risk on a Mojave Desert landscape using remote sensing and field sampling. Int J Wildland Fire 22:770–779

  • Wallace CSA, Thomas KA (2008) An annual plant growth proxy in the mojave desert using MODIS-EVI data. Sensors 8:7792–7808

    Article  PubMed Central  Google Scholar 

  • Wang J, Rich PM, Price KP (2003) Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA. Int J Remote Sens 24:2345–2364

    Article  Google Scholar 

  • Whelan RJ (1995) The ecology of fire. Cambridge University Press, Cambridge, UK

    Google Scholar 

  • Whisenant SG (1990) Changing fire frequencies on Idaho’s Snake River Plains: ecological and management implications. In: McArthur ED, Romney EM, Smith SD, Tueller PT (Eds) Symposium on cheatgrass invasion, shrub die-off, and other aspects of shrub biology and management. Intermountain Research Station, Ogden, UT, pp 4–10

  • Zuur AF, Ieno EN, Elphick CS (2010) A protocol for data exploration to avoid common statistical problems. Methods Ecol Evol 1:3–14

    Article  Google Scholar 

Download references

Acknowledgments

This work was conducted in partnership with the U.S. National Park Service as part of a regional Natural Resource Condition Assessment. Funding also was provided by the U.S. Department of Defense, through the Strategic Environmental Research and Development Program (SERDP; project RC-1722). We thank E. Fleishman for helpful comments on an earlier draft of the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Brett G. Dickson.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hegeman, E.E., Dickson, B.G. & Zachmann, L.J. Probabilistic models of fire occurrence across National Park Service units within the Mojave Desert Network, USA. Landscape Ecol 29, 1587–1600 (2014). https://doi.org/10.1007/s10980-014-0078-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10980-014-0078-z

Keywords

Navigation