The Fire and Tree Mortality Database, for empirical modeling of individual tree mortality after fire

[1]  J. Morgan Varner,et al.  Modelling post-fire tree mortality: Can random forest improve discrimination of imbalanced data? , 2019 .

[2]  Forest structure and regeneration responses 15 years after wildfire in a ponderosa pine and mixed-conifer ecotone, Arizona, USA , 2018, Fire Ecology.

[3]  C. A. Cansler,et al.  Fire and tree death: understanding and improving modeling of fire-induced tree mortality , 2018, Environmental Research Letters.

[4]  Delayed tree mortality, bark beetle activity, and regeneration dynamics five years following the Wallow Fire, Arizona, USA: Assessing trajectories towards resiliency , 2018, Forest Ecology and Management.

[5]  N. Stephenson,et al.  Pre-fire drought and competition mediate post-fire conifer mortality in western U.S. National Parks. , 2018, Ecological applications : a publication of the Ecological Society of America.

[6]  M. Metz,et al.  Characterizing interactions between fire and other disturbances and their impacts on tree mortality in western U.S. Forests , 2017 .

[7]  S. Hood,et al.  Predicting post-fire tree mortality for 14 conifers in the Pacific Northwest, USA: Model evaluation, development, and thresholds , 2017 .

[8]  Duncan C. Lutes,et al.  Predicting Post-Fire Tree Mortality for 12 Western US Conifers Using the First Order Fire Effects Model (FOFEM) , 2017 .

[9]  Nicole M. Vaillant,et al.  Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest , 2017 .

[10]  Mortality predictions of fire-injured large Douglas-fir and ponderosa pine in Oregon and Washington, USA , 2017 .

[11]  Nicole M. Vaillant,et al.  Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure , 2017 .

[12]  R. Klein,et al.  Short-term stem mortality of 10 deciduous broadleaved species following prescribed burning in upland forests of the southern US , 2017 .

[13]  K. Raffa,et al.  Mountain Pine Beetle Dynamics and Reproductive Success in Post-Fire Lodgepole and Ponderosa Pine Forests in Northeastern Utah , 2016, PloS one.

[14]  N. Stephenson,et al.  Why do trees die? Characterizing the drivers of background tree mortality. , 2016, Ecology.

[15]  Brian J. Harvey,et al.  Drivers and trends in landscape patterns of stand-replacing fire in forests of the US Northern Rocky Mountains (1984–2010) , 2016, Landscape Ecology.

[16]  Nancy E. Koerth,et al.  Evaluation of FOFEM fuel loading and consumption estimates in pine-oak forests and woodlands of the Ouachita Mountains, Arkansas, USA , 2016 .

[17]  M. Turner,et al.  High and dry: post‐fire tree seedling establishment in subalpine forests decreases with post‐fire drought and large stand‐replacing burn patches , 2016 .

[18]  S. Fitzgerald,et al.  Fire severity and cumulative disturbance effects in the post-mountain pine beetle lodgepole pine forests of the Pole Creek Fire , 2016 .

[19]  A. Leicht,et al.  Child-Report Measures of Occupational Performance: A Systematic Review , 2016, PloS one.

[20]  B. J. Harvey,et al.  Fire severity unaffected by spruce beetle outbreak in spruce-fir forests in southwestern Colorado. , 2015, Ecological applications : a publication of the Ecological Society of America.

[21]  Tree mortality following a drought-year lightning ignition in the Ouachita Mountains, Arkansas: 2 years postburn , 2016 .

[22]  Nancy E. Koerth,et al.  fire & fuels management Evaluation of FOFEM Fuel Loads and Consumption Estimates in Pine-Oak Forests and Woodlands of the Ouachita Mountains in Arkansas , USA , 2016 .

[23]  A. S. Meador,et al.  Five-Year Post-Restoration Conditions and Simulated Climate Change Trajectories in a Warm/Dry Mixed-Conifer Forest, Southwestern Colorado, USA , 2015 .

[24]  K. O’Hara,et al.  The influence of prefire tree growth and crown condition on postfire mortality of sugar pine following prescribed fire in Sequoia National Park , 2015 .

[25]  P. Fulé,et al.  Forest structure and fuels dynamics following ponderosa pine restoration treatments, White Mountains, Arizona, USA , 2015 .

[26]  A. S. Meador,et al.  Effectiveness of fuel reduction treatments: Assessing metrics of forest resiliency and wildfire severity after the Wallow Fire, AZ , 2014 .

[27]  M. Turner,et al.  Fire severity and tree regeneration following bark beetle outbreaks: the role of outbreak stage and burning conditions. , 2014, Ecological applications : a publication of the Ecological Society of America.

[28]  Brian J Harvey,et al.  Recent mountain pine beetle outbreaks, wildfire severity, and postfire tree regeneration in the US Northern Rockies , 2014, Proceedings of the National Academy of Sciences.

[29]  J. Randerson,et al.  Quantifying fire‐wide carbon emissions in interior Alaska using field measurements and Landsat imagery , 2014 .

[30]  A. Latimer,et al.  Wildfire-contingent effects of fuel treatments can promote ecological resilience in seasonally dry conifer forests , 2014 .

[31]  Nicole M. Vaillant,et al.  The effectiveness and limitations of fuel modeling using the Fire and Fuels Extension to the Forest Vegetation Simulator. , 2014 .

[32]  P. Andrews.  Current status and future needs of the BehavePlus Fire Modeling System , 2014 .

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

[34]  M. Turner,et al.  Influence of recent bark beetle outbreak on fire severity and postfire tree regeneration in montane Douglas-fir forests. , 2013, Ecology.

[35]  E. Knapp,et al.  Climatic stress increases forest fire severity across the western United States. , 2013, Ecology letters.

[36]  S. Hood,et al.  Fire-injured ponderosa pine provide a pulsed resource for bark beetles , 2012 .

[37]  J. Varner,et al.  Predicting Douglas‐fir Sapling Mortality Following Prescribed Fire in an Encroached Grassland , 2012 .

[38]  S. Hood,et al.  Assessing Post-Fire Douglas-Fir Mortality and Douglas-Fir Beetle Attacks in the Northern Rocky Mountains , 2012 .

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

[40]  P. Fulé,et al.  Forest restoration in a surface fire-dependent ecosystem: An example from a mixed conifer forest, southwestern Colorado, USA , 2012 .

[41]  L. Ganio,et al.  A review of logistic regression models used to predict post-fire tree mortality of western North American conifers , 2012 .

[42]  E. Knapp,et al.  Long-term effects of prescribed fire on mixed conifer forest structure in the Sierra Nevada, California , 2011 .

[43]  J. Agee,et al.  Effects of Prescribed Burning on Mortality and Resin Defenses in Old Growth Ponderosa Pine (Crater Lake, Oregon): Four Years of Post-Fire Monitoring , 2011 .

[44]  Robert E. Keane,et al.  The FireBGCv2 landscape fire and succession model: a research simulation platform for exploring fire and vegetation dynamics , 2011 .

[45]  J. Varner,et al.  Acute Physiological Stress and Mortality Following Fire in a Long-Unburned Longleaf Pine Ecosystem , 2010 .

[46]  Sharon M. Hood,et al.  Predicting mortality for five California conifers following wildfire , 2010 .

[47]  Susan J. Prichard,et al.  Fuel treatments reduce the severity of wildfire effects in dry mixed conifer forest, Washington, USA , 2010 .

[48]  Sandy P. Harrison,et al.  The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model , 2010 .

[49]  E. Dodson,et al.  Restoration treatment effects on stand structure, tree growth, and fire hazard in a ponderosa pine/Douglas-fir forest in Montana. , 2010 .

[50]  Brian R. Miranda,et al.  Simulating dynamic and mixed-severity fire regimes: A process-based fire extension for LANDIS-II , 2009 .

[51]  M. Castellano,et al.  Interactions among Prescribed Fire, Soil Attributes, and Mycorrhizal Community Structure at Crater Lake National Park, Oregon, USA , 2009 .

[52]  R. Harrod,et al.  Thinning and prescribed fire effects on overstory tree and snag structure in dry coniferous forests of the interior Pacific Northwest , 2009 .

[53]  W. Shepperd,et al.  Predicting mortality of ponderosa pine regeneration after prescribed fire in the Black Hills, South Dakota, USA , 2009 .

[54]  Jason J. Moghaddas,et al.  The National Fire and Fire Surrogate study: effects of fuel reduction methods on forest vegetation structure and fuels. , 2009, Ecological applications : a publication of the Ecological Society of America.

[55]  Daniel Sullivan,et al.  Google Earth Pro , 2009 .

[56]  Michael Battaglia,et al.  Can prescribed fire be used to maintain fuel treatment effectiveness over time in Black Hills ponderosa pine forests , 2008 .

[57]  Using Bark Char Codes to Predict Post-fire Cambium Mortality , 2008 .

[58]  T. Kolb,et al.  Prescribed Fire Effects on Bark Beetle Activity and Tree Mortality in Southwestern Ponderosa Pine Forests , 2008 .

[59]  F. Putz,et al.  Overstory tree mortality resulting from reintroducing fire to long-unburned longleaf pine forests: the importance of duff moisture , 2007 .

[60]  S. Hood,et al.  Predicting postfire Douglas-fir beetle attacks and tree mortality in the northern Rocky Mountains , 2007 .

[61]  Charles W. McHugh,et al.  Evaluation of a post-fire tree mortality model for western USA conifers , 2007 .

[62]  Jason J. Moghaddas,et al.  Tree mortality patterns following prescribed fires in a mixed conifer forest , 2006 .

[63]  Linda L. Wadleigh,et al.  Best Predictors for Postfire Mortality of Ponderosa Pine Trees in the Intermountain West , 2006 .

[64]  W. Shepperd,et al.  Modeling Postfire Mortality of Ponderosa Pine following a Mixed-Severity Wildfire in the Black Hills: The Role of Tree Morphology and Direct Fire Effects , 2006, Forest Science.

[65]  M. Rollins,et al.  The LANDFIRE prototype project: Nationally consistent and locally relevant geospatial data for wildland fire management , 2006 .

[66]  M. Ayres,et al.  Effects of fire and mechanical wounding on Pinus resinosa resin defenses, beetle attacks, and pathogens , 2006 .

[67]  W. Thies,et al.  Prediction of delayed mortality of fire-damaged ponderosa pine following prescribed fires in eastern Oregon, USA , 2006 .

[68]  J. Agee,et al.  Seasonal fire effects on mixed-conifer forest structure and ponderosa pine resin properties , 2006 .

[69]  Andrew Gelman,et al.  Data Analysis Using Regression and Multilevel/Hierarchical Models , 2006 .

[70]  D. Cram,et al.  Wildland Fire Effects in Silviculturally Treated vs. Untreated Stands of New Mexico and Arizona , 2006 .

[71]  Charles W. McHugh,et al.  Bark Beetle Attacks on Ponderosa Pine Following Fire in Northern Arizona , 2003 .

[72]  Charles W. McHugh,et al.  Ponderosa pine mortality following fire in northern Arizona , 2003 .

[73]  Daniel R. Miller,et al.  Association of wildfire with tree health and numbers of pine bark beetles, reproduction weevils and their associates in Florida , 2002 .

[74]  Eric S. Menges,et al.  Postfire survival in south Florida slash pine: interacting effects of fire intensity, fire season, vegetation, burn size, and bark beetles , 2001 .

[75]  A. Santoro,et al.  Interactions between fire and bark beetles in an old growth pine forest , 2001 .

[76]  Nicholas L. Crookston,et al.  An overview of the fire and fuels extension to the forest vegetation simulator , 2000 .

[77]  A. Santoro,et al.  The biology and management of bark beetles in old growth pine forests of Itasca State Park , 1999 .

[78]  Robert E. Keane,et al.  First Order Fire Effects Model: FOFEM 4.0, user's guide , 1997 .

[79]  K. Ryan,et al.  Bark Beetle Activity and Delayed Tree Mortality in the Greater Yellowstone Area Following the 1988 Fires , 1996 .

[80]  Gene D. Amman,et al.  Interactions Between Fire-Injured Trees and Insects in the Greater Yellowstone Area , 1994 .

[81]  K. Ryan,et al.  Predicting postfire mortality of seven western conifers , 1988 .

[82]  James K. Brown,et al.  Fire damage, mortality, and suckering in aspen , 1987 .

[83]  Kevin C. Ryan,et al.  Modeling postfire conifer mortality for long-range planning , 1986 .

[84]  K. Ryan,et al.  Evaluating Prescribed Fires , 1985 .