Skip to main content
  1. ScienceBase Catalog
  2. National and Regional Climate Adaptation Science Centers
  3. Northwest CASC
  4. FY 2019 Projects
  5. 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
  6. Approved DataSets
  7. Estimating the Spatial and Temporal Extent of Snowpack Properties in Complex Terrain: Data Release
  8. Environmental Data at Remote Camera Stations on Moscow Mountain in Latah County, ID, USA (10/20/20-5/30/21)

Environmental Data at Remote Camera Stations on Moscow Mountain in Latah County, ID, USA (10/20/20-5/30/21)

Dates

Publication Date
Start Date
2020-10-20
End Date
2021-07-31

Citation

Kaitlyn Strickfaden and Timothy Link, 2022, Environmental Data at Remote Camera Stations on Moscow Mountain in Latah County, ID, USA (10/20/20-5/30/21): U.S. Geological Survey data release, https://doi.org/10.21429/bma6-xn17.

Summary

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 photographs. [...]

Contacts

Point of Contact :
Kaitlyn Strickfaden, Department of Forest, Rangeland and Fire Sciences University of Idaho
Originator :
Kaitlyn Strickfaden, Timothy Link
Metadata Contact :
Kaitlyn Strickfaden
Distributor :
U.S. Geological Survey, GS ScienceBase
Funding Agency :
Northwest CASC

Attached Files

Click on title to download individual files attached to this item.

EnvironmentalData.xml
“Metadata”
Original FGDC Metadata
View 		78.19 KB application/fgdc+xml
Cams_SnowWeather_20-21.csv
“Snow characteristics and other environmental data” 		165.47 MB text/csv

Purpose

Snow conditions and dynamics are changing due to climate change. Changes to snow impact snow-dependent species through loss of snow cover needed for survival and fitness, while changes to snow impact snow-inhibited species through changes in energy expenditure, access to food, and predation risk. These data were used for two purposes: 1) to explore variability in snow disappearance dates in a complex forested terrain, and 2) to examine relationships between white-tailed deer (Odocoileus virginianus) and mule deer (O. hemionus) and snow properties including snow depth, density, and hardness. These data were used to create a model predicting snow disappearance dates (SDD) at our camera sites, which we could then use to map SDDs across our entire study area and identify priority areas of conservation for snow-dependent wildlife. We found that high-elevation areas, north-facing aspects, and cold-air pools retained snow latest. These data were also used to model the probability of deer presence at camera sites dependent on snow conditions. We found that deer respond negatively to increased snow density and respond slightly positively to increased snow hardness.

Map

Map Preview

Communities

  • National and Regional Climate Adaptation Science Centers
  • Northwest CASC

Tags

Provenance

Data source
Input directly

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier https://doi.org/10.21429/bma6-xn17

Citation Extension

citationTypeData Release
parts
typeDOI
valuehttps://doi.org/10.21429/bma6-xn17

Item Actions

View Item as ...

JSON ATOM ISO XML

Save Item as ...

JSON FGDC MODS XML ISO XML

View Item...

Metrics