Interactions Among Wildland Fires in a Long-Established Sierra Nevada Natural Fire Area

We investigate interactions between successive naturally occurring fires, and assess to what extent the environments in which fires burn influence these interactions. Using mapped fire perimeters and satellite-based estimates of post-fire effects (referred to hereafter as fire severity) for 19 fires burning relatively freely over a 31-year period, we demonstrate that fire as a landscape process can exhibit self-limiting characteristics in an upper elevation Sierra Nevada mixed conifer forest. We use the term ‘self-limiting’ to refer to recurring fire as a process over time (that is, fire regime) consuming fuel and ultimately constraining the spatial extent and lessening fire-induced effects of subsequent fires. When the amount of time between successive adjacent fires is under 9 years, and when fire weather is not extreme (burning index <34.9), the probability of the latter fire burning into the previous fire area is extremely low. Analysis of fire severity data by 10-year periods revealed a fair degree of stability in the proportion of area burned among fire severity classes (unchanged, low, moderate, high). This is in contrast to a recent study demonstrating increasing high-severity burning throughout the Sierra Nevada from 1984 to 2006, which suggests freely burning fires over time in upper elevation Sierra Nevada mixed conifer forests can regulate fire-induced effects across the landscape. This information can help managers better anticipate short- and long-term effects of allowing naturally ignited fires to burn, and ultimately, improve their ability to implement Wildland Fire Use programs in similar forest types.

[1]  W. Shepperd,et al.  Long-term, landscape patterns of past fire events in a montane ponderosa pine forest of central Colorado , 1999, Landscape Ecology.

[2]  V. Caselles,et al.  Mapping burns and natural reforestation using thematic Mapper data , 1991 .

[3]  David J. Parsons,et al.  Impact of fire suppression on a mixed-conifer forest , 1979 .

[4]  S. Stephens Fuel loads, snag abundance, and snag recruitment in an unmanaged Jeffrey pine–mixed conifer forest in Northwestern Mexico , 2004 .

[5]  A. Bannari,et al.  Effets de la couleur et de la brillance du sol sur les indices de végétation , 1996 .

[6]  S. Ekstrand,et al.  Landsat TM-based forest damage assessment : correction for topographic effects , 1996 .

[7]  Susan L. Ustin,et al.  Monitoring of wildfires in boreal forests using large area AVHRR NDVI composite image data , 1993 .

[8]  Ross Nelson,et al.  Sensor-induced temporal variability of Landsat MSS data , 1985 .

[9]  Frédéric Baret,et al.  Intercalibration of vegetation indices from different sensor systems , 2003 .

[10]  P. Brown,et al.  CLIMATE AND DISTURBANCE FORCING OF EPISODIC TREE RECRUITMENT IN A SOUTHWESTERN PONDEROSA PINE LANDSCAPE , 2005 .

[11]  A. Smith,et al.  Fire season precipitation variability influences fire extent and severity in a large southwestern wilderness area, United States , 2007 .

[12]  J. Pierce,et al.  Fire-induced erosion and millennial-scale climate change in northern ponderosa pine forests , 2004, Nature.

[13]  Zhiliang Zhu,et al.  Evaluate Sensitivities of Burn-Severity Mapping Algorithms for Different Ecosystems and Fire Histories in the United States , 2006 .

[14]  Charles W. McHugh,et al.  Stand- and landscape-level effects of prescribed burning on two Arizona wildfires , 2005 .

[15]  Jay D. Miller,et al.  BAER Soil Burn Severity Maps Do Not Measure Fire Effects to Vegetation: A Comment on Odion and Hanson (2006) , 2008, Ecosystems.

[16]  S. Stephens,et al.  FEDERAL FOREST‐FIRE POLICY IN THE UNITED STATES , 2005 .

[17]  David J. Parsons,et al.  Natural fire management in National Parks , 1986 .

[18]  G. De’ath MULTIVARIATE REGRESSION TREES: A NEW TECHNIQUE FOR MODELING SPECIES–ENVIRONMENT RELATIONSHIPS , 2002 .

[19]  J. L. Barker,et al.  Landsat MSS and TM post-calibration dynamic ranges , 1986 .

[20]  Michael A. Palecki,et al.  Pacific and Atlantic Ocean influences on multidecadal drought frequency in the United States , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[21]  N. Stephenson REFERENCE CONDITIONS FOR GIANT SEQUOIA FOREST RESTORATION: STRUCTURE, PROCESS, AND PRECISION , 1999 .

[22]  Raymond F. Kokaly,et al.  Characterization of post-fire surface cover, soils, and burn severity at the Cerro Grande Fire, New Mexico, using hyperspectral and multispectral remote sensing , 2007 .

[23]  S. Stephens,et al.  Forest structure and mortality in an old-growth Jeffrey pine-mixed conifer forest in north-western Mexico , 2005 .

[24]  S. Stephens,et al.  Climate change and forests of the future: managing in the face of uncertainty. , 2007, Ecological applications : a publication of the Ecological Society of America.

[25]  M. Rautiainen,et al.  Estimation of forest canopy cover: A comparison of field measurement techniques , 2006 .

[26]  Jay D. Miller,et al.  Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR) , 2007 .

[27]  A. Strahler Stratification of natural vegetation for forest and rangeland inventory using Landsat digital imagery and collateral data , 1981 .

[28]  Matthew G. Rollins,et al.  Mapping Fire Regimes Across Time and Space: Understanding Coarse and Fine-scale Fire Patterns , 2001 .

[29]  W. Romme,et al.  The Interaction of Fire, Fuels, and Climate across Rocky Mountain Forests , 2004 .

[30]  Christopher D. Elvidge,et al.  Comparison of relative radiometric normalization techniques , 1996 .

[31]  Ashbindu Singh,et al.  Review Article Digital change detection techniques using remotely-sensed data , 1989 .

[32]  X. Pons,et al.  A semi-automatic methodology to detect fire scars in shrubs and evergreen forests with Landsat MSS time series , 2000 .

[33]  A. Taylor,et al.  SPATIAL PATTERNS AND CONTROLS ON HISTORICAL FIRE REGIMES AND FOREST STRUCTURE IN THE KLAMATH MOUNTAINS , 2003 .

[34]  Scott L. Stephens,et al.  Forest fire causes and extent on United States Forest Service lands , 2005 .

[35]  P. Teillet Effects of spectral, spatial, and radiometric characteristics on remote sensing vegetation indices of forested regions , 1997 .

[36]  B. Collins,et al.  Regional relationships between climate and wildfire-burned area in the interior West, USA , 2006 .

[37]  T. Swetnam,et al.  Landscape-scale controls over 20th century fire occurrence in two large Rocky Mountain (USA) wilderness areas , 2002, Landscape Ecology.

[38]  Jason J. Moghaddas,et al.  Fire treatment effects on vegetation structure, fuels, and potential fire severity in western U.S. forests. , 2009, Ecological applications : a publication of the Ecological Society of America.

[39]  M. M. Moore,et al.  DETERMINING REFERENCE CONDITIONS FOR ECOSYSTEM MANAGEMENT OF SOUTHWESTERN PONDEROSA PINE FORESTS , 1997 .

[40]  A. Simard,et al.  Relations between El Nino/Southern Oscillation anomalies and wildland fire activity in the United States , 1985 .

[41]  P. Hessburg,et al.  Dry forests and wildland fires of the inland Northwest USA: Contrasting the landscape ecology of the pre-settlement and modern eras , 2005 .

[42]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[43]  M. Bauer,et al.  Digital change detection in forest ecosystems with remote sensing imagery , 1996 .

[44]  S. Stephens,et al.  Spatial patterns of large natural fires in Sierra Nevada wilderness areas , 2007, Landscape Ecology.

[45]  Donald McKenzie,et al.  Climatic Change, Wildfire, and Conservation , 2004 .

[46]  C. Allen Interactions Across Spatial Scales among Forest Dieback, Fire, and Erosion in Northern New Mexico Landscapes , 2007, Ecosystems.

[47]  Geoffrey H. Donovan,et al.  Be careful what you wish for: the legacy of Smokey Bear , 2007 .

[48]  J. J. Horan,et al.  Partial performance degradation of a remote sensor in a space environment, and some probable causes. , 1974, Applied optics.

[49]  W. Cohen,et al.  An efficient and accurate method for mapping forest clearcuts in the Pacific Northwest using Landsat imagery , 1998 .

[50]  W. Cohen,et al.  Characterizing 23 Years (1972–95) of Stand Replacement Disturbance in Western Oregon Forests with Landsat Imagery , 2002, Ecosystems.

[51]  F. M. Danson,et al.  Use of a radiative transfer model to simulate the postfire spectral response to burn severity , 2006 .

[52]  D. Odion Fire in California's Ecosystems , 2007 .

[53]  Southeastern Forest Experiment Station General technical report , 1985 .

[54]  J. Battles,et al.  Spatial elements of mortality risk in old-growth forests. , 2008, Ecology.

[55]  F. Chapin,et al.  Human Impacts on the Fire Regime of Interior Alaska: Interactions among Fuels, Ignition Sources, and Fire Suppression , 2006, Ecosystems.

[56]  S. Sader,et al.  Comparison of change-detection techniques for monitoring tropical forest clearing and vegetation regrowth in a time series , 2001 .

[57]  T. Swetnam,et al.  Fire-Southern Oscillation Relations in the Southwestern United States , 1990, Science.

[58]  B. Markham,et al.  Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges , 2003, IEEE Trans. Geosci. Remote. Sens..

[59]  Ronald J. Hall,et al.  Change Detection Methodology for Aspen Defoliation with Landsat Mss Digital Data , 1984 .

[60]  Christof Bigler,et al.  MULTIPLE DISTURBANCE INTERACTIONS AND DROUGHT INFLUENCE FIRE SEVERITY IN ROCKY MOUNTAIN SUBALPINE FORESTS , 2005 .

[61]  T. Swetnam,et al.  Interannual to decadal drought and wildfire in the western United States , 2003 .

[62]  T. Swetnam,et al.  Contingent Pacific–Atlantic Ocean influence on multicentury wildfire synchrony over western North America , 2007, Proceedings of the National Academy of Sciences.

[63]  Scott L. Stephens,et al.  Fire and sustainability: considerations for California’s altered future climate , 2008 .

[64]  Carl N. Skinner,et al.  Basic principles of forest fuel reduction treatments , 2005 .

[65]  J. Agee Fire Ecology of Pacific Northwest Forests , 1993 .

[66]  C. Allen,et al.  ECOLOGICAL RESTORATION OF SOUTHWESTERN PONDEROSA PINE ECOSYSTEMS: A BROAD PERSPECTIVE , 2002 .

[67]  T. Avery,et al.  Fundamentals of Remote Sensing and Airphoto Interpretation , 1992 .

[68]  Jack D. Cohen,et al.  The 1978 National Fire-Danger Rating System: technical documentation , 1984 .

[69]  Scott L. Stephens,et al.  Prehistoric fire area and emissions from California's forests, woodlands, shrublands, and grasslands , 2007 .

[70]  N. Benson,et al.  Landscape Assessment: Ground measure of severity, the Composite Burn Index; and Remote sensing of severity, the Normalized Burn Ratio , 2006 .

[71]  Jay D. Miller,et al.  Quantitative Evidence for Increasing Forest Fire Severity in the Sierra Nevada and Southern Cascade Mountains, California and Nevada, USA , 2009, Ecosystems.

[72]  S. Stephens,et al.  Managing natural wildfires in Sierra Nevada wilderness areas , 2007 .

[73]  J. W. van Wagtendonk,et al.  The role of fire in the Yosemite Wilderness , 1986 .

[74]  J. Agee,et al.  SPATIAL CONTROLS OF HISTORICAL FIRE REGIMES: A MULTISCALE EXAMPLE FROM THE INTERIOR WEST, USA , 2001 .

[75]  Fire and landscapes: patterns and processes , 2004 .

[76]  R. Lyman Ott.,et al.  An introduction to statistical methods and data analysis , 1977 .

[77]  S. Sader,et al.  Detection of forest harvest type using multiple dates of Landsat TM imagery , 2002 .

[78]  C. S. Wright,et al.  FIRE AND VEGETATION HISTORY IN THE EASTERN CASCADE MOUNTAINS, WASHINGTON , 2004 .

[79]  S. Ekstrand,et al.  Assessment of forest damage with landsat TM: Correction for varying forest stand characteristics , 1994 .

[80]  Jay D. Miller,et al.  Mapping forest post-fire canopy consumption in several overstory types using multi-temporal Landsat TM and ETM data , 2002 .

[81]  David W. Hosmer,et al.  Applied Logistic Regression , 1991 .

[82]  Bruce R. Hartsough,et al.  The economics of alternative fuel reduction treatments in western United States dry forests: Financial and policy implications from the National Fire and Fire Surrogate Study , 2008 .

[83]  T. Swetnam,et al.  Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity , 2006, Science.