Forest and Rangeland Ecosystem Science Center

Data and Tools

Filter Total Items: 166
Date published: January 1, 2019

Floodplain data from the Elwha River in Olympic National Park, 1939-2013

Floodplain characteristics were quantified for the Elwha River in Olympic National Park, Washington, USA, using orthophoto imagery taken between 1939-2013.

Date published: January 1, 2019

Terrestrial salamander captures after the 2003 Clark Fire, Willamette National Forest, OR

Data are the result of fixed-area, time-constrained searches for terrestrial salamanders within and nearby a wildfire-affected area of the Willamette National Forest, OR. The spatial extent of the study was within one kilometer of the border of the Clark fire that burned an area of 2,009 ha in 2003. Site surveys occurred during March and April, 2005. An important feature of the data is th

Date published: January 1, 2019

Floodplain data from the Queets River in Olympic National Park, 1939-2013

Floodplain characteristics were quantified for the Queets River in Olympic National Park, Washington, USA, using orthophoto imagery taken between 1939-2013. Each zipped folder contains a shapefile and its associated metadata record.

Date published: January 1, 2019

Tackifier impacts on growth of Great Basin moss Syntrichia ruralis, 2017-2018

The dataset supports a larger study that examined the impacts of three tackifiers (guar, psyllium, and polyacrylamide) on growth of two dryland mosses (Bryum argenteum and Syntrichia ruralis). Moss fragments were grown in petri dishes and subjected to individual tackifiers in one of three possible concentrations (0.5x, 1x, or 2x) of the respective manufacturer's recommended

Date published: September 7, 2018

Statistical Tools for Wind and Solar Energy Development and Operations

Solar and wind power development is increasing exponentially in the United States. However, these energy sources may affect wildlife, either directly from collisions with the turbine blades or photovoltaic arrays or indirectly from loss of habitat and migration routes. An important component to understanding the effects of these renewable energy projects on wildlife is accurate and precise...

Date published: August 1, 2018

Streamflow Permanence Probability (SPP) rasters, 2004-2016, overall mean and standard deviation, Region 17

Streamflow Permanence Probability (SPP) rasters represent the raw streamflow permanence probabilities produced by the PRObability of Streamflow PERmanence (PROSPER) model, annually for years 2004 through 2016, and overall mean and standard deviation. The PROSPER model is a GIS raster-based empirical model of probabilistic predictions of a stream channel having year-round flow for any...

Date published: August 1, 2018

Streamflow Permanence Class (SPC) rasters, 2004-2016, and overall mean, Region 17

Streamflow Permanence Class (SPC) rasters represent the classification of the raw streamflow permanence probabilities produced by the PRObability of Streamflow PERmanence (PROSPER) model into categorical wet and dry classes, annually for years 2004 through 2016, and overall mean. Raw probabilities were classified into a -5 (dry) to +5 (wet) scale based on the spatially variable threshold (i.e...

Date published: August 1, 2018

Threshold and confidence interval rasters, 2004-2016, Region 17

The threshold raster includes the raw streamflow permanence probability value at a given pixel that represents the estimated critical value to differentiate between wet conditions (above the threshold) and dry conditions (below the threshold). Confidence interval rasters indicate the value above or below the threshold corresponding to the nth percentile of confidence that the pixel is wet

Date published: May 31, 2018

Estimated Probabilities from Lidar Models for Marbled Murrelet (Brachyramphus marmoratus) Occupancy in Forest Vegetation Stands in the Siuslaw National Forest, Oregon

We developed a LiDAR-based habitat model for the threatened Marbled Murrelet (MAMU) in the Siuslaw National Forest, Oregon, using a two-step approach. First, we tested the applicability of the LiDAR-based model developed for the Coos Bay District of the Bureau of Land Management (BLM) to the Siuslaw N.F. In the second step, we tested alternative habitat models developed with fores

Date published: May 3, 2018

Land Treatment Exploration Tool

The Land Treatment Exploration Tool is designed for resource managers to use when planning land treatments. The tool provides useful summaries of environmental characteristics of planned treatment areas and facilitates adaptive management practices by comparing those characteristics to other similar treatments within a specified distance or area of interest. ...

Date published: April 6, 2018

Beaver-related Stream Restoration Projects in Western Rangelands

We systematically surveyed federal and state wildlife biologists, hydrological specialists, non-profit organizations, and working groups focused on beaver or wetland restoration in the western U.S. We focused primarily on contacting land managers from states containing some portion of the Great Basin, although many of the projects described in surveys fell outside of this watershed. Som

Date published: February 20, 2018

Western US Ruggedness Reclassified into 6 Classes

"Vector Ruggedness Measure (VRM) measures terrain ruggedness as the variation in three-dimensional orientation of grid cells within a neighborhood. Vector analysis is used to calculate the dispersion of vectors normal (orthogonal) to grid cells within the specified neighborhood. This method effectively captures variability in slope and aspect into a single measure. Ruggedness values in