This record contains three zip files of data. First, for the file treeGeneticISSRData, the data consists of genetic ISSR band scores. Two sets of trees were sampled for genetic analyses - large trees surviving mountain pine beetle and 'general population' trees that we just a little to small to be attacked that served as a proxy for the population without beetle selection. Second, for the file Treegrowthdata_, this dataset includes files that record tree ring widths of trees by year from two sites, Vipond Park and Lacey Creek, in Montana. Third, the file monoterpeneConcentrationsData contains spreadsheets of monoterpene concentrations from surviving and susceptible whitebark pine after a mountain pine beetle outbreak at Vipond Park, Montana. All data takes the form of Excel spreadsheets.

This summary data set in Microsoft Excel format is from the master relational database for whitebark pine pine tree monitoring starting in 2004 at permanent, long term monitoring plots on federally administered lands throughout the Greater Yellowstone Ecosystem.

This tabular, machine-readable CSV file contains annual phenometrics at locations in ponderosa pine ecosystems across Arizona and New Mexico that experienced stand-clearing, high-severity fire. The locations represent areas of vegetative recovery towards pre-fire (coniferous/pine) vegetation communities or towards novel grassland, shrubland, or deciduous replacements. Each sampled area is associated with the point location (latitude/longitude) as well as multiple calendar year phenometrics derived from the time-series of normalized difference vegetation index (NDVI) values in the phenology software package Timesat v3.2.

Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 2010 through 2099 based on numerous downscaled data under several emissions scenarios. GCMs include: BCC, CanESM, CCSM, CESM, CESM-BGC, CMCC, CNRM, Had-CC, Had-ES, and IPSL. RCPs vary from 2.6 to 8.5 depending on run. GCM/RCP combination is listed in the filename. Data are a list of points in comma separated text format. Point coordinates are the center of each 1km grid cell. GCM data from the NASA NEX DCP30 data base

This dataset provides annual estimates of tree mortality due to fires and bark beetles from 2003 to 2012 on forestland in the continental western United States. Tree mortality was estimated at 1-km spatial resolution by combining tree aboveground carbon (AGC) and disturbance datasets derived largely from remote sensing. Tree mortality is expressed as the amount of AGC stored in trees killed by disturbance (Mg carbon per km2). The dataset also includes annual uncertainty maps that were generated using a Monte Carlo approach in which tree biomass, biomass carbon content, and disturbance severity were iteratively varied by their uncertainty.

Annual radial stem ringwidth (mm) for ponderosa pine. This dataset is associated with the following publication: Merschel, A.G., P.A. Beedlow, D.C. Shaw, D.R. Woodruff, E.H. Lee, S. Cline, R.L. Comeleo, K.R. Hagmann, and M.J. Reilly. An Ecological Perspective on Living with Fire in Ponderosa Pine Forests of Oregon and Washington: Resistance, Gone but not Forgotten. Trees, Forests and People. Elsevier B.V., Amsterdam, NETHERLANDS, 4: 100074, (2021).