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 downscaled data from various 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

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

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

Estimates of the probability of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized addtitive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pone 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. Data are a list of points in comma separated text format. Point coordinates are the center of each 1km grid cell.

These data consist of environmental covariates and estimated plot-level mortality of ponderosa pine trees. Environmental covariates include growing season temperature and soil moisture, and values are summarized into long-term mean conditions, and anomalies observed between forest inventory sampling events for each plot. Data also include plot locations (with uncertainty introduced by the US Forest Service to maintain private property rights), plot basal area, and several variables related to estimated mortality rate of ponderosa pine trees under various assumptions about basal area conditions.

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 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 dataset was collected to build on past and ongoing monitoring and research efforts within Colorado’s Rocky Mountain National Park (RMNP). Specifically, the data were collected to test the hypothesis that reductions in canopy cover due to natural disturbances (i.e. wildfire and beetle kill) result in increases in water temperature, or the longitudinal thermal gradient of a stream. Data values include stream temperature paired with light intensity data, and air temperature data to determine the influence of riparian canopy condition and longitudinal warming across a 1 km reach. Two control streams were selected: Ouzel Creek, which has virtually no riparian canopy due to a previous wildfire; and Hunters Creek, which has a dense and healthy riparian canopy. In search of similar size streams with variable riparian conditions, the authors discovered that the beetle caused tree mortality remained mostly upland within RMNP, whereas the riparian canopy appeared healthy and much less impacted along stream corridors. Instruments were deployed in the stream with the most potential for variability, Coney Creek, in 2014. Eventually two additional streams were investigated on the western side of RMNP: Columbine Creek, which has minor beetle caused mortality within the riparian canopy; and Bowen Gulch (outside of RMNP), which displays a breif 1 kilometer (km) reach of beetle impacted canopy located between dense riparian canopy and a wetland grass meadow. The downstream reach terminus is rendered as 0 meters (m) and each monitoring station is located upstream at 250 meter intervals over a 1km reach.