Multi-scaled drivers of severity patterns vary across land ownerships for the 2013 Rim Fire, California

[1]  Surface Temperature , 2019, Dense + Green Cities.

[2]  A. Syphard,et al.  Twenty-first century California, USA, wildfires: fuel-dominated vs. wind-dominated fires , 2019, Fire Ecology.

[3]  R. T. Belote,et al.  Climate, Environment, and Disturbance History Govern Resilience of Western North American Forests , 2019, Front. Ecol. Evol..

[4]  A. Meddens,et al.  Characterizing persistent unburned islands within the Inland Northwest USA , 2019, Fire Ecology.

[5]  C. Feld,et al.  Diagnosing the causes of river deterioration using stressor-specific metrics. , 2019, The Science of the total environment.

[6]  A. S. Meador,et al.  Increasing trends in high-severity fire in the southwestern USA from 1984 to 2015 , 2019, Forest Ecology and Management.

[7]  A. Meddens,et al.  The importance of small fire refugia in the central Sierra Nevada, California, USA , 2019, Forest Ecology and Management.

[8]  S. Wiemer,et al.  The Effect of a Mainshock on the Size Distribution of the Aftershocks , 2018, Geophysical Research Letters.

[9]  Nicholas J. Nauslar,et al.  The Carr Fire Vortex: A Case of Pyrotornadogenesis? , 2018, Geophysical Research Letters.

[10]  J. Abatzoglou,et al.  Fire Refugia: What Are They, and Why Do They Matter for Global Change? , 2018, BioScience.

[11]  Paul F. Hessburg,et al.  Evidence for scale‐dependent topographic controls on wildfire spread , 2018, Ecosphere.

[12]  E. N. Stavros,et al.  Deconstructing the King megafire. , 2018, Ecological applications : a publication of the Ecological Society of America.

[13]  M. Fromm,et al.  Wildfire-driven thunderstorms cause a volcano-like stratospheric injection of smoke , 2018, npj Climate and Atmospheric Science.

[14]  Andreas Colliander,et al.  Calibration and Validation , 2014, Encyclopedia of Remote Sensing.

[15]  H. Safford,et al.  The changing landscape of wildfire: burn pattern trends and implications for California’s yellow pine and mixed conifer forests , 2018, Landscape Ecology.

[16]  Y. Iwasaki,et al.  Importance of antecedent environmental conditions in modeling species distributions , 2018 .

[17]  Sean A. Parks,et al.  High-severity fire: evaluating its key drivers and mapping its probability across western US forests , 2018 .

[18]  S. Dobrowski,et al.  What Drives Low-Severity Fire in the Southwestern USA? , 2018 .

[19]  B. Collins,et al.  Change in Vegetation Patterns Over a Large Forested Landscape Based on Historical and Contemporary Aerial Photography , 2018, Ecosystems.

[20]  Scott L. Stephens,et al.  Changing spatial patterns of stand-replacing fire in California conifer forests , 2017 .

[21]  A. Taylor,et al.  Previous burns and topography limit and reinforce fire severity in a large wildfire , 2017 .

[22]  Yves Bergeron,et al.  Accounting for spatial autocorrelation improves the estimation of climate, physical environment and vegetation’s effects on boreal forest’s burn rates , 2017, Landscape Ecology.

[23]  B. Collins,et al.  Evidence of fuels management and fire weather influencing fire severity in an extreme fire event. , 2017, Ecological applications : a publication of the Ecological Society of America.

[24]  S. Stephens,et al.  Impacts of different land management histories on forest change. , 2017, Ecological applications : a publication of the Ecological Society of America.

[25]  Matthew P. Thompson,et al.  An empirical machine learning method for predicting potential fire control locations for pre-fire planning and operational fire management , 2017 .

[26]  P. Hessburg,et al.  Tamm Review: Shifting global fire regimes: Lessons from reburns and research needs , 2017 .

[27]  Scott L. Stephens,et al.  Alternative characterization of forest fire regimes: incorporating spatial patterns , 2017, Landscape Ecology.

[28]  Carl N. Skinner,et al.  Factors influencing fire severity under moderate burning conditions in the Klamath Mountains, northern California, USA , 2017 .

[29]  Jay D. Miller,et al.  Relating Fire-Caused Change in Forest Structure to Remotely Sensed Estimates of Fire Severity , 2016 .

[30]  Susan J. Prichard,et al.  Prior wildfires influence burn severity of subsequent large fires , 2016 .

[31]  A. Westerling.  Increasing western US forest wildfire activity: sensitivity to changes in the timing of spring , 2016, Philosophical Transactions of the Royal Society B: Biological Sciences.

[32]  P. Esteban,et al.  Modelization of the Current and Future Habitat Suitability of Rhododendron ferrugineum Using Potential Snow Accumulation , 2016, PloS one.

[33]  Roberta E. Martin,et al.  Progressive forest canopy water loss during the 2012–2015 California drought , 2015, Proceedings of the National Academy of Sciences.

[34]  Robert J. McGaughey,et al.  Mixed severity fire effects within the Rim fire: Relative importance of local climate, fire weather, topography, and forest structure , 2015 .

[35]  Jiaxing Zu,et al.  Quantifying influences and relative importance of fire weather, topography, and vegetation on fire size and fire severity in a Chinese boreal forest landscape , 2015 .

[36]  Narasimhan K. Larkin,et al.  Climate change presents increased potential for very large fires in the contiguous United States , 2015 .

[37]  Michelle Coppoletta,et al.  Post-fire vegetation and fuel development influences fire severity patterns in reburns. , 2015, Ecological applications : a publication of the Ecological Society of America.

[38]  R. Seager,et al.  Contribution of anthropogenic warming to California drought during 2012–2014 , 2015 .

[39]  Brad Quayle,et al.  Calibration and Validation of Immediate Post-Fire Satellite-Derived Data to Three Severity Metrics , 2015, Fire Ecology.

[40]  A. Taylor,et al.  Topography, Fuels, and Fire Exclusion Drive Fire Severity of the Rim Fire in an Old-Growth Mixed-Conifer Forest, Yosemite National Park, USA , 2015, Ecosystems.

[41]  Jian Huang,et al.  Using Historical Atlas Data to Develop High-Resolution Distribution Models of Freshwater Fishes , 2015, PloS one.

[42]  M. Fromm,et al.  The 2013 Rim Fire: Implications for Predicting Extreme Fire Spread, Pyroconvection, and Smoke Emissions , 2015 .

[43]  Malcolm P. North,et al.  Water balance and topography predict fire and forest structure patterns , 2015 .

[44]  Daniel Griffin,et al.  How unusual is the 2012–2014 California drought? , 2014 .

[45]  Brandon M. Collins,et al.  Severity of an uncharacteristically large wildfire, the Rim Fire, in forests with relatively restored frequent fire regimes , 2014 .

[46]  E. Natasha Stavros,et al.  Regional projections of the likelihood of very large wildland fires under a changing climate in the contiguous Western United States , 2014, Climatic Change.

[47]  Donald McKenzie,et al.  Climate, fire size, and biophysical setting control fire severity and spatial pattern in the northern Cascade Range, USA. , 2014, Ecological applications : a publication of the Ecological Society of America.

[48]  M. Carrete,et al.  Incorporating spatial constraints in different periods of the annual cycle improves species distribution model performance for a highly mobile bird species , 2014 .

[49]  M. Moritz,et al.  Large wildfire trends in the western United States, 1984–2011 , 2014 .

[50]  M. C. Kennedy,et al.  Fuel treatments and landform modify landscape patterns of burn severity in an extreme fire event. , 2014, Ecological applications : a publication of the Ecological Society of America.

[51]  Youhua Chen.  Distinguishing niche and neutral processes: Issues in variation partitioning statistical methods and further perspectives , 2014, 1403.7285.

[52]  Scott L. Stephens,et al.  Temperate and boreal forest mega‐fires: characteristics and challenges , 2014 .

[53]  Roberta E. Martin,et al.  A Tale of Two “Forests”: Random Forest Machine Learning Aids Tropical Forest Carbon Mapping , 2014, PloS one.

[54]  Joshua H. Viers,et al.  Modern departures in fire severity and area vary by forest type, Sierra Nevada and southern Cascades, California, USA , 2013 .

[55]  A. Flint,et al.  Fine-scale hydrologic modeling for regional landscape applications: the California Basin Characterization Model development and performance , 2013, Ecological Processes.

[56]  J. Adams,et al.  Disentangling the effects of global climate and regional land-use change on the current and future distribution of mangroves in South Africa , 2013, Biodiversity and Conservation.

[57]  J. Abatzoglou.  Development of gridded surface meteorological data for ecological applications and modelling , 2013 .

[58]  Jay D. Miller,et al.  Trends in Wildfire Severity: 1984 to 2010 in the Sierra Nevada, Modoc Plateau, and Southern Cascades, California, USA , 2012, Fire Ecology.

[59]  John F. Caratti,et al.  FIREMON: Fire Effects Monitoring and Inventory System , 2012 .

[60]  Brendan A. Wintle,et al.  A new method for dealing with residual spatial autocorrelation in species distribution models , 2012 .

[61]  Jay D. Miller,et al.  Differences in wildfires among ecoregions and land management agencies in the Sierra Nevada region, California, USA , 2012 .

[62]  James B. Grace,et al.  Guidelines for a graph-theoretic implementation of structural equation modeling , 2012, Ecosphere.

[63]  M. North,et al.  Topographic Variation in Structure of Mixed-Conifer Forests Under an Active-Fire Regime , 2012, Ecosystems.

[64]  A. Latimer,et al.  Fuel treatment effectiveness in California yellow pine and mixed conifer forests , 2012 .

[65]  Jan W. van Wagtendonk,et al.  Factors Associated with the Severity of Intersecting Fires in Yosemite National Park, California, USA , 2012 .

[66]  Ross K. Meentemeyer,et al.  Accounting for multi‐scale spatial autocorrelation improves performance of invasive species distribution modelling (iSDM) , 2012 .

[67]  M. Parisien,et al.  Multi-scale evaluation of the environmental controls on burn probability in a southern Sierra Nevada landscape , 2011 .

[68]  J. W. Wagtendonk,et al.  Fire Frequency, Area Burned, and Severity: A Quantitative Approach to Defining a Normal Fire Year , 2011 .

[69]  F. Stuart Chapin,et al.  Earth Stewardship: science for action to sustain the human‐earth system , 2011 .

[70]  S. Stephens,et al.  Impacts of fire exclusion and recent managed fire on forest structure in old growth Sierra Nevada mixed-conifer forests , 2011 .

[71]  G. Ficetola,et al.  Potential range of the invasive fish rotan (Perccottus glenii) in the Holarctic , 2011, Biological Invasions.

[72]  J. Dupuy,et al.  Influence of landscape structure and stand age on species density and biomass of a tropical dry forest across spatial scales , 2011, Landscape Ecology.

[73]  P. Mote,et al.  Surface temperature lapse rates over complex terrain: Lessons from the Cascade Mountains , 2010 .

[74]  M. North,et al.  Fire history of coniferous riparian forests in the Sierra Nevada , 2010 .

[75]  Jens-Christian Svenning,et al.  Determinants of palm species distributions across Africa: the relative roles of climate, non‐climatic environmental factors, and spatial constraints , 2010 .

[76]  R. Bradstock,et al.  Effects of weather, fuel and terrain on fire severity in topographically diverse landscapes of south-eastern Australia , 2010, Landscape Ecology.

[77]  A. Taylor,et al.  Fire regimes, forest change, and self-organization in an old-growth mixed-conifer forest, Yosemite National Park, USA. , 2010, Ecological applications : a publication of the Ecological Society of America.

[78]  Penelope Morgan,et al.  A predictive model of burn severity based on 20-year satellite-inferred burn severity data in a large southwestern US wilderness area , 2009 .

[79]  T. Spies,et al.  Vegetation and weather explain variation in crown damage within a large mixed-severity wildfire. , 2009 .

[80]  Michael C Wimberly,et al.  Assessing fuel treatment effectiveness using satellite imagery and spatial statistics. , 2009, Ecological applications : a publication of the Ecological Society of America.

[81]  Sassan Saatchi,et al.  Woody cover and heterogeneity in the Savannas of the Kruger National Park, South Africa , 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

[82]  Joseph W. Sherlock,et al.  Calibration and validation of the relative differenced Normalized Burn Ratio (RdNBR) to three measures of fire severity in the Sierra Nevada and Klamath Mountains, California, USA , 2009 .

[83]  Maggi Kelly,et al.  Interactions Among Wildland Fires in a Long-Established Sierra Nevada Natural Fire Area , 2009, Ecosystems.

[84]  Jon E. Keeley,et al.  Ecological effects of large fires on US landscapes: benefit or catastrophe? , 2008, International Journal of Wildland Fire.

[85]  J. Lundquist,et al.  Automated algorithm for mapping regions of cold-air pooling in complex terrain , 2008 .

[86]  J. Diniz‐Filho,et al.  Spatial analysis improves species distribution modelling during range expansion , 2008, Biology Letters.

[87]  Achim Zeileis,et al.  Conditional variable importance for random forests , 2008, BMC Bioinformatics.

[88]  Julian D Olden,et al.  Machine Learning Methods Without Tears: A Primer for Ecologists , 2008, The Quarterly Review of Biology.

[89]  Ajith H. Perera,et al.  What do we know about forest fire size distribution, and why is this knowledge useful for forest management? , 2008 .

[90]  Jan W. van Wagtendonk,et al.  The History and Evolution of Wildland Fire Use , 2007 .

[91]  D. R. Cutler,et al.  Utah State University From the SelectedWorks of , 2017 .

[92]  B. Quayle,et al.  A Project for Monitoring Trends in Burn Severity , 2007 .

[93]  R. G. Davies,et al.  Methods to account for spatial autocorrelation in the analysis of species distributional data : a review , 2007 .

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

[95]  J. Diniz‐Filho,et al.  Red herrings revisited: spatial autocorrelation and parameter estimation in geographical ecology , 2007 .

[96]  Pascal Monestiez,et al.  Identifying spatial relationships at multiple scales: principal coordinates of neighbour matrices (PCNM) and geostatistical approaches , 2007 .

[97]  Achim Zeileis,et al.  Bias in random forest variable importance measures: Illustrations, sources and a solution , 2007, BMC Bioinformatics.

[98]  Frederick W. Smith,et al.  Influence of topography and forest structure on patterns of mixed severity fire in ponderosa pine forests of the South Dakota Black Hills, USA , 2006 .

[99]  Stéphane Dray,et al.  Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM) , 2006 .

[100]  N. Seavy,et al.  Vegetation and topographical correlates of fire severity from two fires in the Klamath-Siskiyou region of Oregon and California , 2006 .

[101]  A. Townsend Peterson,et al.  Novel methods improve prediction of species' distributions from occurrence data , 2006 .

[102]  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 .

[103]  Max A. Moritz,et al.  Patterns of Fire Severity and Forest Conditions in the Western Klamath Mountains, California , 2004 .

[104]  P. Hessburg,et al.  An environmental narrative of Inland Northwest United States forests, 1800–2000 , 2003 .

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

[106]  Pierre Legendre,et al.  All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices , 2002 .

[107]  A. Taylor,et al.  Spatial and temporal variation of fire regimes in a mixed conifer forest landscape, Southern Cascades, California, USA , 2001 .

[108]  M. Finney.  Design of Regular Landscape Fuel Treatment Patterns for Modifying Fire Growth and Behavior , 2001, Forest Science.

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

[110]  R. Boone,et al.  Partitioning sources of variation in vertebrate species richness , 2000 .

[111]  P. Hessburg,et al.  Predicting late-successional fire refugia pre-dating European settlement in the Wenatchee Mountains , 1997 .

[112]  P. Legendre.  Spatial Autocorrelation: Trouble or New Paradigm? , 1993 .

[113]  P. Legendre,et al.  Partialling out the spatial component of ecological variation , 1992 .

[114]  Mark A. Finney,et al.  Synthesis of knowledge of extreme fire behavior: volume 2 for fire behavior specialists, researchers, and meteorologists , 2016 .

[115]  Martin Kernan,et al.  Disentangling the effects of land use and geo-climatic factors on diversity in European freshwater ecosystems , 2016 .

[116]  Bernd Bischl,et al.  mlr: Machine Learning in R , 2016, J. Mach. Learn. Res..

[117]  Cheng Soon Ong,et al.  Multivariate spearman's ρ for aggregating ranks using copulas , 2016 .

[118]  Alistair M. S. Smith,et al.  Vegetation, topography and daily weather influenced burn severity in central Idaho and western Montana forests , 2015 .

[119]  M. Meyer.  Forest Fire Severity Patterns of Resource Objective Wildfires in the Southern Sierra Nevada , 2015 .

[120]  D. Stone,et al.  Examining the contribution of the observed global warming trend to the California droughts of 2012/13 and 2013/14 , 2014 .

[121]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[122]  Carol Miller,et al.  Previous Fires Moderate Burn Severity of Subsequent Wildland Fires in Two Large Western US Wilderness Areas , 2013, Ecosystems.

[123]  Kent A. van Wagtendonk.  Fires in Previously Burned Areas: Fire Severity and Vegetation Interactions in Yosemite National Park , 2012 .

[124]  R. Bradstock,et al.  Spatial patterns of fire behaviour in relation to weather, terrain and vegetation. , 2009 .

[125]  R. Bradstock.  Effects of large fires on biodiversity in south-eastern Australia: disaster or template for diversity? , 2008 .

[126]  Michael J. Oimoen,et al.  The National Elevation Dataset , 2002 .