Skip to main content

Tom Miewald

thumbnail
The zip file below contains raw input and output files for the 4 final version of the ALI Marxan model. The versions all have the same number of runs (100), number of iterations (35 million), SPF factor for each conservation feature,(100) and BLM (0.35). They vary in overall goal levels and whether or not facets were targeted. The four versions are: (1) high overall goal levels, facets not targeted;(2) medium overall goal levels, facets not targeted; (3) medium overall goal levels, facets not targeted; (4) medium overall goal levels, facets targeted at 15%. Please see the associated report (ALI 2013) for further details, and contact Madeline with any questions.
thumbnail
This project identifies priority areas in the Columbia Plateau Ecoregion to implement conservation strategies for riverine and riparian habitat. This is tailored towards the Arid Lands Initiative (ALI) conservation goals and objectives, and provides the foundation for adaptation to a changing climate. This project adopts a “zoned” approach to identifying focal areas, connectivity management zones and zones for riparian habitat and ecological representation. Through a series of workshops and webinars, the ALI articulated its freshwater conservation goals and targets. Key aspects of these goals included: a focus on non-anadromous salmonid (salmon and steelhead) species, include riparian birds and waterfowl as key...
thumbnail
The Omniscape algorithm is based on an omnidirectional implementation of the connectivity tool, CircuitScape. It uses a moving window approach to calculate connectivity. For more information on the OmniScape approach please refer to McRae et al (2016) For this project, we tested several different moving window sizes from 250 meters to 1250 meters. A pixel size of 90 meters was used for computational efficiency. We used the OmniScape Python script provided by TNC. Omniscape requires two inputs: a resistance surface and a source surface. We used the standard resistance surface described above, along with the habitat layer described above as the source surface. Current FlowThe raw output of Omniscape is converted into...
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.