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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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UI_Mica_Location: Location metadata and meteorological and snow depth observations from met towers in the Mica Creek Experimental Forest. Data were collected at 7 different station sites at approximately half-hour intervals for water years 2003-2006, with discontinuous records due to equipment malfunction or damage. Stations were located within different forest harvest treatment sections, applied to the watershed in approximately 2001, including clear-cut harvest, partial harvest, and control sections (both second growth and old growth control forests). Site Data Citation for full description of the field campaign and sites. UI_Mica_met: Metadata and associated snow depth and SWE observations from 14 manual...
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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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Climate change is projected to cause earlier and less snowmelt, potentially reducing water availability for terrestrial and aquatic ecosystems and for municipal and agricultural water supplies. However, if forested landscapes can be managed to retain snow longer, some of these environmental and financial impacts may be mitigated. Results from our research team demonstrate that in the Pacific Northwest (PNW), opening dense forest canopies through creating forest gaps will generally lead to more snow accumulation and later melt (i.e., up to 13 weeks later). However, under certain conditions, such as locations on ridges with high wind speeds and sunny south-facing slopes, the snow that accumulated in the forest is...
Abstract (from http://www.hydrol-earth-syst-sci.net/21/1/2017/): The phase of precipitation when it reaches the ground is a first-order driver of hydrologic processes in a watershed. The presence of snow, rain, or mixed-phase precipitation affects the initial and boundary conditions that drive hydrological models. Despite their foundational importance to terrestrial hydrology, typical phase partitioning methods (PPMs) specify the phase based on near-surface air temperature only. Our review conveys the diversity of tools available for PPMs in hydrological modeling and the advancements needed to improve predictions in complex terrain with large spatiotemporal variations in precipitation phase. Initially, we review...
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Snow conditions are changing dramatically in the mountains of the interior Pacific Northwest, including eastern Washington, northern Idaho, and western Montana. These changes can both benefit and hinder a variety of wildlife species. The timing and extent of seasonal snowpacks, in addition to snow depth, density, and hardness, can impact the ability of wildlife to access forage, their ability to move across the landscape, and their vulnerability to predators, to name a few. In order to respond effectively to changes in snow conditions, wildlife managers need tools to identify areas and promote conditions that maintain late spring and early summer snowpack for some sensitive species. Managers also require an index...
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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...
Aspen forests are “biological hotspots” in the western United States that support numerous wildlife species. Aspen ecosystems are also economically and socially important, providing high quality forage for livestock and game species (e.g. elk), as well as drawing tourists and improving local economies. Aspen ecosystems are in decline across portions of the western U.S., which is thought to be partly due to drought, and recent research suggests that future climate projected for the western U.S. will be even less capable of supporting aspen. We used different research methods to investigate key controls on aspen growth and survivability in the northern Great Basin and central Rockies. Specifically, we projected the...
Abstract (from AGU100): In complex terrain, drifting snow contributes to ecohydrologic landscape heterogeneity and ecological refugia. In this study, we assessed the climate sensitivity of hydrological dynamics in a semiarid mountainous catchment in the snow‐to‐rain transition zone. This catchment includes a distinct snow drift‐subsidized refugium that comprises a small portion (14.5%) of the watershed but accounts for a disproportionate amount (modeled average 56%) of hydrological flux generation. We conducted climate sensitivity experiments using a physically based hydrologic model to assess responses of a suite of hydrologic metrics across the watershed. Experiments with an imposed 3.5 °C warming showed reductions...
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Snow conditions are changing dramatically in the mountains of the interior Pacific Northwest, including eastern Washington, northern Idaho, and western Montana. These changes can both benefit and hinder a variety of wildlife species. The timing and extent of seasonal snowpacks, in addition to snow depth, density, and hardness, can impact the ability of wildlife to access forage, their ability to move across the landscape, and their vulnerability to predators, to name a few. In order to respond effectively to changes in snow conditions, wildlife managers need tools to identify areas and promote conditions that maintain late spring and early summer snowpack for some sensitive species. Managers also require an index...
This repository contains a package in Program R which allows for snow depth measurements using a "virtual" snow stake. The package detected the edges of a snow stake in a reference image and superimposes the edges of the snow stake onto other images. The R package is also available on GitHub at https://github.com/kaitlynstrickfaden/edger.
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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,...
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Aspen is an environmentally, economically, and socially important species in the western U.S. It is typically the most abundant deciduous tree species in mountainous landscapes of the western U.S., providing food and habitat for a variety of wildlife, including black bear, deer, elk, moose, and numerous bird species. Aspen woodlands also provide high quality forage for livestock and draw tourists to the region to view the golden vistas that form in the fall. However, aspen is currently declining across large portions of the West and it’s estimated that approximately 40% of western aspen will be without suitable climate conditions within 50 years. In the northern and central Rocky Mountains, it’s thought that reduced...
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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
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UIEF_wind Summary: Within the Flat Creek Unit of the University of Idaho Experimental Forest (UIEF) near Moscow, ID, 30-minute snow depth and meteorological data were collected at seven locations across the Lawler Landing site (elevation 880 m) from February to May of WY 2008. A 70 m north-south oriented transect of 5 snow depth sensors was deployed to record sub-daily snow depth, with co-located meteorological instruments. The sensors traversed a 40 m long elliptical forest gap and the adjacent forest in both directions. The locations were the same as those used previously to quantify how shortwave and longwave radiation vary across a forest gap [Lawler and Link, 2011]. Two additional snow depth sensors and meteorological...
Abstract (from Ecosphere): In semi‐arid mountainous regions across the western United States, the distribution of upland aspen (Populus tremuloides) is often related to heterogeneous soil moisture subsidies resulting from redistributed snow. As temperatures increase, interactions between decreasing snowpack and future trends in the net primary productivity (NPP) of aspen forests remain uncertain. This study characterizes the importance of heterogeneously distributed snow water to aspen communities in the Reynolds Creek Critical Zone Observatory located in southwestern Idaho, USA. Net primary productivity of three aspen stands was simulated at sites spanning elevational and precipitation gradients using the biogeochemical...
    map background search result map search result map Projecting the Effects of Climate Change on Aspen in the Central and Northern Rocky Mountains Forest Management Tools to Maximize Snow Retention under Climate Change Long format snow course observations, meteorological sensor observations,locations, and associated metadata for Mica Creek, Idaho Smoothed snow depth data, location, raw data with headers, and associated metadata for University of Idaho Experimental Forest Lawler Landing site Estimating the Spatial and Temporal Extent of Snowpack Properties in Complex Terrain: Leveraging Novel Data to Adapt Wildlife and Habitat Management Practices to Climate Change Estimating the Spatial and Temporal Extent of Snowpack Properties in Complex Terrain: Data Release 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 Long format snow course observations, meteorological sensor observations,locations, and associated metadata for Mica Creek, Idaho Map of predicted relative snow disappearance dates across Moscow Mountain in Latah County, ID Estimating the Spatial and Temporal Extent of Snowpack Properties in Complex Terrain: Data Release Smoothed snow depth data, location, raw data with headers, and associated metadata for University of Idaho Experimental Forest Lawler Landing site Projecting the Effects of Climate Change on Aspen in the Central and Northern Rocky Mountains Forest Management Tools to Maximize Snow Retention under Climate Change Estimating the Spatial and Temporal Extent of Snowpack Properties in Complex Terrain: Leveraging Novel Data to Adapt Wildlife and Habitat Management Practices to Climate Change