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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...
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This database contains the data inputs used to create a 30 meter resistance layer for the Western Washington Habitat Connectivity Assessment. All input data were clipped to the study area and converted to 30 meter raster format in the same projection with matching cell alignment unless otherwise noted. Input data was reclassified as needed in order to assign resistance values.We made three different resistance surfaces, using these data inputs, for testing in sensitivity analyses. For the first, we started with a conventional methodology for creating resistance surfaces (Using Gnarly Landscape Utilities), and then combined this result with nuanced layers about road impacts and building density impacts. These nuanced...
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This map package contains four resistance surfaces, one which is the same surface at two different resolutions (30m and 90m). The resistance surfaces were used in Linkage Mapper and Omniscape to model naturalness connectivity in Southwest Washington. Naturalness resistance values from all the inputs can be found in the report methodology.We made three different resistance surfaces, using the data inputs, found here, for testing in sensitivity analyses. For the first, we started with a conventional methodology for creating resistance surfaces (Using Gnarly Landscape Utilities), and then combined this result with nuanced layers about road impacts and building density impacts. These nuanced layers have continuous numerical...
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Context and Research QuestionIn 2010, the Washington Wildlife Habitat Connectivity Working Group (WWHCWG) statewide analysis identified a need for a closer look at this landscape extending from the Southern Cascades (from approximately Mount Rainier to the Columbia River), through southwestern Washington, and into the Olympic Peninsula. Several species in this landscape have unique connectivity patterns and broad-scale data limitations which we began to explore in this analysis. Finer-scale analyses are necessary to prioritize and inform actions to maintain and restore habitat connectivity in this region.During meetings in 2016, 2017, and 2018, the WWHCG group developed a plan to model the region using Linkage Mapper...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Connectivity,
Conservation Design,
Conservation Planning,
Decision Support,
Federal resource managers, All tags...
LCC Network Science Catalog,
Landscape Conservation Design,
Landscape Conservation Design,
Landscape Conservation Design,
Northwest Coast,
Northwest Coast,
Northwest Coast,
Pacific Coastal Ecoregion,
Project,
Regional & county planners,
State agencies,
WA-1,
WA-1,
WA-1,
WA-3,
WA-3,
WA-3,
WA-4,
WA-4,
WA-4,
WA-6,
WA-6,
WA-6,
WA-8,
WA-8,
WA-8,
Washington,
Washington,
Washington,
completed, Fewer tags
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These layer packages contain the results of the Linkage Mapper tools as described below. Running Five of the Linkage Mapper ToolsThe Linkage Mapper software package includes six tools. For this study we used five of these tools, producing stand-alone products which we also combined to create synthesized products. We used Linkage Mapper v2.1Beta5 and an ArcGIS modelbuilder script to run Linkage Pathways, Pinchpoint Mapper, Centrality Mapper, the Linkage Priority tool, and Barrier Mapper using the above described resistance surfaces and habitat concentration areas (HCAs) layers. We used the default parameters described in the respective user guides except where otherwise noted below. The following are the high level...
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