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Remote camera data on snow presence, snow depth, and wildlife detections on Moscow Mountain in Latah County, ID, USA. Reconyx Hyperfire I and Hyperfire II cameras were used and set to take hourly timelapse images and motion-triggered images. The cameras were deployed from October 2020 - May 2021. Snow presence was assessed up to 15 m from the camera. Snow depth was measured using virtual snow stakes created with the edger R package created by the author. Wildlife were marked as present in all photos in which they appear, and new individuals were counted. Snow density was collected using a federal or prairie snow sampler. Snow hardness was collected using a ram penetrometer. Solar radiation was calculated using hemispherical...
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We collected snow density measurements at camera sites from December 2020 - April 2021, at the same time as snow hardness measurements. We took measurements every few weeks as logistics allowed. We took samples near the camera site in snow visually similar to the snow in the camera viewshed (the geographical area that is visible from a location) to prevent snow conditions from being disturbed beyond normal camera deployment. We took snow density samples using a homemade prairie sampler in snow depths < 100 cm and using a federal snow sampler in snow depths > 100 cm. The sampler was inserted into the snow to remove a snow core. We retained the core if the depth of snow in the sampler was at least 90% of the actual...
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Attributes of remote camera stations on Moscow Mountain in Latah County, ID including georeferencing information and camera deployment information. Remote cameras were used to collect data on snow presence, snow depth, and wildlife detections on Moscow Mountain in Latah County, ID, USA. Reconyx Hyperfire I and Hyperfire II cameras were used and set to take hourly timelapse images and motion-triggered images. The cameras were deployed from October 2020 - May 2021.
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We took hemispherical photographs (hemiphotos) at each camera station to estimate incoming shortwave radiation. We used a Canon EOS 70D SLR camera with a Sigma 8mm circular fisheye lens. We took hemiphotos on days with little to no wind or precipitation and early in the morning (5AM – 7AM), late in the evening (7PM – 9PM), or on overcast days to maximize the contrast between sky and vegetation. We took hemiphotos in June - July 2021, but nine camera sites were re-photographed in October 2021 due to poor quality of initial photographs. Overstory deciduous vegetation is rare at the study site, so summer changes in canopy cover are negligible. At each camera site, we placed the DSLR camera with attached lens on a tripod...
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Snow hardness measurements were collected at camera sites from December 2020 - April 2021, at the same time as snow density. Camera sites were chosen by stratified non-random sampling. Cameras were never closer than 25m to other cameras, nor were they placed facing trails. Measurements were collected every few weeks as logistics allowed. Samples were collected near the camera site in snow visually similar to the snow in the camera viewshed to prevent snow conditions from being disturbed beyond normal camera deployment. Snow hardness was measured using a ram penetrometer or “ramsonde” (Snowmetrics; Fort Collins, CO). A ramsonde is composed of a hammer, anvil, and rod. The hammer is dropped onto the anvil from a known...
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This dataset contains information from 674 publications (academic and grey literature) that assessed the effects of climate variability and climate change on the 15 ungulate species that are native to the United States, Canada, Mexico, and Greenland. The publication contains literature published between 1947 and September 2020. Information documented includes study location, climate variables assessed, and ungulate outcomes measured (e.g., life history characteristics, population demographics, migratory behavior).
To facilitate camera-based snow depth observations without additional equipment installation, we developed a novel method implemented in an R package called edger to superimpose virtual measurement devices onto images. The virtual snow stakes can be used to derive snow depth measurements. We validated the method for snow depth estimation using camera data from Latah County, Idaho, USA in winter 2020–2021. Physical snow stakes were installed in the camera viewshed with which snow depth measurements were taken. Then, virtual snow stakes were superimposed on the images using edger and images were cropped to exclude the physical snow stake so that the two snow depth measurements could be compared. This dataset contains...
Modeled soil moisture raster maps (4km-pixels) displaying volumetric water content (VWC) and fraction of available water (FAW) in 10-cm depth increments for the 2015-2019 period for the Red River and Rio Grande basins.
These model objects are the outputs of three Boosted Regression Tree models (for three different time periods) to explore the role of climate change and variability in driving ecological change and transformation. Response variables were the proportion of sites in each ecoregion with peak rates of change at 100-year time steps. Predictor variables included temperature anomaly, temperature trend, temperature variability, precipitation anomaly, precipitation trend, precipitation variability and ecoregion, also at 100-yr time steps. Models focused on the most distant time periods (0-21000 BP and 7500 - 21000 BP) show that rapid vegetation change was initiated across these landscapes once a 2 ℃ temperature increase...
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Remote camera data on snow presence, snow depth, and wildlife detections on Moscow Mountain in Latah County, ID, USA. Reconyx Hyperfire I and Hyperfire II cameras were set to take hourly timelapse images and motion-triggered images from October 2020 - May 2021 at 5 elevation categories (800-925m, 925-1050m, 1050-1175m, 1775-1300m, and > 1300m), 4 aspects (N, S, E, and W), and 3 canopy densities (Sparse [0-35%], Moderate [35-75%], and Dense [75-100%]), in duplicate, plus 17 selected microclimates (137 locations total), on Moscow Mountain in Latah County, ID. Images from 27 other locations were part of a pilot experiment during January to May 2020. Data in the CSVs include image metadata, camera site characteristics,...
The baseline map of the Butte Basin, the representative basin from the Central Valley, was generated first by delineating the extent of the landscape to be modeled, in agreement with the basin boundaries identified by the Central Valley Joint Venture.The Butte Basin (CV) encompasses a region approximately 44km x 64 km, and the map used contains 10,698 individual habitat patches and 179,964 acres of possible foreageable area. Patch habitat types were identified by a combination of USDA CropScape data (to identify agricultural habitat patches including rice and corn) and other local mapping data made available through collaboration with USGS. Habitat flood schedules were generated using the Water Evaluation and Planning...
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These model objects are the outputs of two Bayesian hierarchical models (one for the Middle Rockies and one for the Southern Rockies) to explore the role of landscape characteristics in climate-driven ecological change and transformation. We used the rate of change for each site at 100-yr time steps as the response variable, and included elevation, CHILI, aspect, slope, and TPI as fixed effects in the models, run separately for each ecoregion. We included a random intercept of site to quantify the magnitude of site-level variation in rate-of-change that may be unaccounted for by our covariates.
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Predicted snow disappearance dates on Moscow Mountain in Latah County, ID. Predictors used to make the map are elevation, aspect, canopy cover, and cold-air pooling.
Categories: Publication; Types: Citation; Tags: Idaho, Latah, Moscow Mountain, biota
Habitat condition, both acres flooded and timing of inundation, were determined using remote sensing images from Landsat 5 and 8 for the Lower Klamath Basin, the representative basin for the southern Oregon and northeast California (SONEC) region. The dataset includes proportional water coverage (acres) for 8,825 distinct patches in Lower Klamath over 6 different time periods (1984-89; 1990-94; 1995-99; 2000-04; 2005-09; 2010-16), with a total of 368,301 acres of possibly foreageable land.
This database integrates a list of vegetation transformations that occurred across the Southern and Middle Rockies since 21,000 years ago, the age of occurrence, the type of vegetation switch that occurred, whether the rates of vegetation change peaked at that time, and when applicable, the duration of peak rates of vegetation change.
    map background search result map search result map Soil Moisture Data for the Red River and Rio Grande Basins from 2015-2019 Climate drivers of rapid ecological change at the landscape scale over the last 21,000 years in the Middle and Southern Rockies, U.S.A. The role of landscape characteristics in climate-driven rapid ecological change over the last 21,000 years in the Middle and Southern Rockies, U.S.A. Type and speed of vegetation transformations over the past 21,000 years in the Middle and Southern Rockies, U.S.A. Snow Density Measurements at Remote Camera Stations on Moscow Mountain in Latah County, ID (12/1/20-4/30/21) Attributes of Remote Camera Stations on Moscow Mountain in Latah County, ID, USA (10/20/20-5/30/21) Snow and Wildlife Detections from Remote Camera Stations on Moscow Mountain in Latah County, ID, USA (10/20/20-6/30/21) Environmental Data at Remote Camera Stations on Moscow Mountain in Latah County, ID, USA (10/20/20-5/30/21) Snow Hardness Measurements at Remote Camera Stations on Moscow Mountain in Latah County, ID (12/1/20-4/30-21) Hemispherical Photographs at Remote Camera Stations on Moscow Mountain in Latah County, ID, USA (6/2/21-11/2/21) Map of predicted relative snow disappearance dates across Moscow Mountain in Latah County, ID Climate Change Habitat Scenarios for the Central Valley of California Water Coverage Data in Lower Klamath Basin, 1984-2016 Validation of the "edger" Virtual Snow Stake Catalogue of the literature assessing climate effects on ungulates in North America (1947-2020) Snow Density Measurements at Remote Camera Stations on Moscow Mountain in Latah County, ID (12/1/20-4/30/21) Attributes of Remote Camera Stations on Moscow Mountain in Latah County, ID, USA (10/20/20-5/30/21) Snow and Wildlife Detections from Remote Camera Stations on Moscow Mountain in Latah County, ID, USA (10/20/20-6/30/21) Environmental Data at Remote Camera Stations on Moscow Mountain in Latah County, ID, USA (10/20/20-5/30/21) Snow Hardness Measurements at Remote Camera Stations on Moscow Mountain in Latah County, ID (12/1/20-4/30-21) Hemispherical Photographs at Remote Camera Stations on Moscow Mountain in Latah County, ID, USA (6/2/21-11/2/21) Validation of the "edger" Virtual Snow Stake Map of predicted relative snow disappearance dates across Moscow Mountain in Latah County, ID Water Coverage Data in Lower Klamath Basin, 1984-2016 Soil Moisture Data for the Red River and Rio Grande Basins from 2015-2019 Climate drivers of rapid ecological change at the landscape scale over the last 21,000 years in the Middle and Southern Rockies, U.S.A. The role of landscape characteristics in climate-driven rapid ecological change over the last 21,000 years in the Middle and Southern Rockies, U.S.A. Type and speed of vegetation transformations over the past 21,000 years in the Middle and Southern Rockies, U.S.A. Catalogue of the literature assessing climate effects on ungulates in North America (1947-2020)