Filters: Categories: Data (X) > Types: Downloadable (X) > partyWithName: Patricia Haggerty (X)
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This dataset includes temperature and pressure data from 26 sites in the HJ Andrews Experimental Forest in western Oregon. Stream and Air data loggers were deployed in June of 2020 and downloaded in October 2020. The HJ_Andrews_Temperature file contains temperature data (in C°) by logger serial number, site, and usage for the study period. The HJ_Andrews_Pressure file contains pressure data (in kPa) by logger serial number, site, and usage for the study period. The HJ_Andrews_Points spatial data layer contains site locations, geographic information, data summaries, and mean August stream temperatures. The HJ_Andrews_Wet_Dry delineation file contains daily flow status estimates derived from stream and air temperature...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Hydrology,
Intermittent,
Lookout Creek,
Mack Creek,
McRae Creek,
Beschta and Ripple (2012) assert that increased elk populations in the Olympic National Park due to extirpation of wolves in the 1920’s has led to a reduction in riparian vegetation. They hypothesize that a decrease in this vegetation has led to an increase in erosion and undercutting of large conifer trees along the river banks, causing woody debris in the river, which in turn impacts channel morphology. Using imagery dating from 1939 and a set of digitized channel margins for each year, we classified vegetation changes that have occurred along the Hoh, Queets, and Quinault Rivers. We focused on identifying large conifers near the river that could impact water flow and channel morphology if undercut and classified...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: FRESC,
Natural Resources Condition Assessment,
Olympic National Park,
Olympic National Park,
USGS,
We used murrelet occupancy data collected by the Bureau of Land Management Coos Bay District and canopy metrics calculated from discrete return airborne LiDAR data to fit a logistic regression model predicting the probability of occupancy. Our final model for stand-level occupancy included distance to coast and 5 LiDAR-derived variables describing canopy structure. This dataset is a shapefile of forest stands in the Coos Bay district representing the model results.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Coos Bay,
Ecology,
Forestry,
Oregon,
Oregon Coast Range,
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