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

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.

These datasets represent inputs into spatial and temporal models associated with a published study assessing trends and vulnerabilities in the mutalism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana, CLNU) in national parks of the North Cascades and Sierra Nevada regions. The study used avian point count data and summary information on whitebark pine abundance and distribution. This reference provides the two datasets contributed to the temporal modeling analysis within the North Cascades region, specifically Mount Rainier National Park (MORA), as Clark’s nutcracker trends were not discernable at North Cascades National Park (NOCA). For data associated with national parks within the Sierra Nevada region, including Yosemite National Park (YOSE) and Sequoia and Kings Canyon National Parks (SEKI), please refer to: https://irma.nps.gov/DataStore/Reference/Profile/2278594. 1) Whitebark pine data from 29 0.04-hectare circular plots representing eight stands in Mount Rainier National Park, with survey data from 2004, 2007 (9 plots), 2009 and 2015. Basic plot data used to model relationships with Clark’s Nutcracker abundance estimates and trends are summarized by plot and year, including the number of live trees, average live tree diameter, live tree infection rates, and basic site characteristics (elevation, slope and aspect). For modeling and analytical purposes, the data set also includes filled records for plot-year combinations with no survey data, represented in the data as ‘NA’. Data were summarized by plot and year because Clark’s nuctracker density was modeled at the park scale according to park-scale tree metrics, accounting for both plot and stand effects on those tree metrics. 2) Avian survey data represent the count of Clark's nutcracker individuals at observed at point-count monitoring stations, 2005-2016. Avian survey covariates include: ambient noise level, observer, date, hour, presence of forest cover, presence of dense vegetation cover, elevation, aspect, and slope. For modeling and analytical purposes, the data set also includes non-detect records and filled records for transect-year combinations with no survey data, represented in the data as ‘NA’. Data were derived from the highest of three elevation strata, because Clark’s nutcracker were almost never observed in lower strata.

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.

This dataset represents inputs into a spatial model associated with a publication that assesses trends and vulnerabilities in the mutalism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana, CLNU) in national parks of the Sierra-Cascade region. The study uses avian point-count data, whitebark pine distribution, and foxtail pine distribution data provided in collaboration through The Institute for Bird Populations and the U.S. National Park Service. These data are associated with national parks within the Sierra region, including Yosemite National Park (YOSE) and Sequoia and Kings Canyon National Parks (SEKI). For data associated with national parks within the Cascade region, including Mount Rainier National Park and North Cascades National Park Service Complex, please refer to: https://irma.nps.gov/DataStore/Reference/Profile/2277917 The avian survey data represent the count of Clark's nutcracker individuals at observed at point-count monitoring stations, 2011-2016. Avian survey covariates include: ambient noise level, observer, date, hour, presence of forest cover, presence of dense vegetation cover, elevation, aspect, and slope. Whitebark pine coverage (YOSE and SEKI) and foxtail pine coverage (SEKI) are calculated using park vegetation mapping inventories. Vegetation data are provided here as links. YOSE: https://irma.nps.gov/DataStore/Reference/Profile/2252295 SEKI: https://irma.nps.gov/DataStore/Reference/Profile/2252079 For more information, please refer to: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0227161

This dataset represents inputs into a spatial model associated with a publication that assesses trends and vulnerabilities in the mutalism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana, CLNU) in national parks of the Sierra-Cascade region. The study uses avian point-count data, whitebark pine distribution, and foxtail pine distribution data provided in collaboration through The Institute for Bird Populations and the U.S. National Park Service. These data are associated with national parks within the Sierra region, including Yosemite National Park (YOSE) and Sequoia and Kings Canyon National Parks (SEKI). For data associated with national parks within the Cascade region, including Mount Rainier National Park and North Cascades National Park Service Complex, please refer to: https://irma.nps.gov/DataStore/Reference/Profile/2277917 The avian survey data represent the count of Clark's nutcracker individuals at observed at point-count monitoring stations, 2011-2016. Avian survey covariates include: ambient noise level, observer, date, hour, presence of forest cover, presence of dense vegetation cover, elevation, aspect, and slope. Whitebark pine coverage (YOSE and SEKI) and foxtail pine coverage (SEKI) are calculated using park vegetation mapping inventories. Vegetation data are provided here as links. YOSE: https://irma.nps.gov/DataStore/Reference/Profile/2252295 SEKI: https://irma.nps.gov/DataStore/Reference/Profile/2252079 For more information, please refer to: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0227161

This dataset represents inputs into a spatial model associated with a publication that assesses trends and vulnerabilities in the mutalism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana, CLNU) in national parks of the Sierra-Cascade region. The study uses avian point-count data, whitebark pine distribution, and foxtail pine distribution data provided in collaboration through The Institute for Bird Populations and the U.S. National Park Service. These data are associated with national parks within the Sierra region, including Yosemite National Park (YOSE) and Sequoia and Kings Canyon National Parks (SEKI). For data associated with national parks within the Cascade region, including Mount Rainier National Park and North Cascades National Park Service Complex, please refer to: https://irma.nps.gov/DataStore/Reference/Profile/2277917 The avian survey data represent the count of Clark's nutcracker individuals at observed at point-count monitoring stations, 2011-2016. Avian survey covariates include: ambient noise level, observer, date, hour, presence of forest cover, presence of dense vegetation cover, elevation, aspect, and slope. Whitebark pine coverage (YOSE and SEKI) and foxtail pine coverage (SEKI) are calculated using park vegetation mapping inventories. Vegetation data are provided here as links. YOSE: https://irma.nps.gov/DataStore/Reference/Profile/2252295 SEKI: https://irma.nps.gov/DataStore/Reference/Profile/2252079 For more information, please refer to: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0227161

Download the Excel file and read worksheet 'Field Descriptions'