Description: This whole-stream routed hydrography layer serves as the base hydrography for the StreamNet project's Linear Referencing System (LRS). StreamNet uses this layer to reference fisheries and aquatic related data compiled across the Pacific Northwest Region. Routes are based on whole streams uniquely identified via the LLID attribute. The route system is measured in feet to the nearest integer. To distinguish this hydrography layer from previously used systems, StreamNet refers to it as Mixed-Scale Hydrography - version 3.1, or "MSHv3.1". At version 1: This dataset includes all routed streams present in the PNW River Reach Files (PNWRF3), StreamNet's original 1:100k base hydrography layer. In addition, those features within the state of Washington are depicted at a higher resolution (1:24k scale or finer) and densified to include all named streams present in and sourced from Washington Department of Fish and Wildlife's 1:24k+ hydrography layer along with additional unnamed streams from that source where fish data exists and is compiled across the region. At MSHv1, the extent of StreamNet's regional hydrography was expanded and integrated with the 1:100k scale routed hydrography for California (CalHydro). While the StreamNet project does not manage fish data for California, the integration of California hydrography facilitates collaboration with StreamNet's partner project, "CalFISH". For more information about the CalFISH project, visit http://www.CalFISH.org At version 2: All features within the state of Oregon are now also depicted at the higher resolution (1:24k+) based on linework provided by Oregon Department of Fish and Wildlife and originally sourced from the Pacific Northwest Hydrography Framework (PNWHF) dataset. For the most part, linework from this source is coincident with the High-Resolution (24k+) National Hydrography Dataset (HR-NHD). Version 3 and minor releases primarily capture additional streams as needed to reference fish data submitted by partners. Future versions of this dataset will incorporate higher resolution source linework within the states of Idaho and Montana with a trend toward using linework that is essentially coincident with that found in the HR-NHD. For more information about the source data contributing to this dataset, see the entity attribute and lineage sections of this metadata record. For more information about the StreamNet Project, see the supplemental information section of this metadata record or visit http://www.StreamNet.org
Description: The geographic distribution of stream reaches with potential to support high quality habitat for salmonids has bearing on the actual status of habitats and populations over broad spatial extents. As part of the Coastal Landscape Analysis and Modeling Study (CLAMS), we examined how salmon-habitat potential was distributed relative to current and future (+100 years) landscape characteristics in the Coastal Province of Oregon, USA. The intrinsic potential to provide high-quality rearing habitat was modeled for juvenile coho salmon (Oncorhynchus kisutch) and juvenile steelhead (O. mykiss) based on stream flow, valley constraint, and stream gradient. See Supplemental Information for additional detail.
Description: The Oregon Watershed Restoration Inventory is a relational database consisting of both tabular and spatial data. The tabular database contains detailed information for mapped and unmapped projects. The GIS data are not intended to stand alone. It is important to utilize associated tabular information in MS Access or MS Excel format in order to get the complete information for your area of interest.
Description: The Oregon Watershed Restoration Inventory database (OWRI) contains information about completed restoration projects that were implemented in Oregon beginning in 1995. The complete dataset consists of point, line, and polygon features. Data for projects not funded by the Oregon Watershed Enhancement Board (OWEB) are acquired through a voluntary "Annual Call for Data"; while reporting is required for projects funded by OWEB and Oregon Department of Fish and Wildlife R & E grant programs. Restoration practitioners submit a standardized reporting form and attach project location maps. Once acquired, data sheets and maps are each assigned a unique project identification number. This number links spatial project data with tabular project data that are stored in a relational database using Microsoft SQL software.
Description: The Oregon Watershed Restoration Inventory database (OWRI) contains information about completed restoration projects that were implemented in Oregon beginning in 1995. The complete dataset consists of point, line, and polygon features. Data for projects not funded by the Oregon Watershed Enhancement Board (OWEB) are acquired through a voluntary "Annual Call for Data"; while reporting is required for projects funded by OWEB and Oregon Department of Fish and Wildlife R & E grant programs. Restoration practitioners submit a standardized reporting form and attach project location maps. Once acquired, data sheets and maps are each assigned a unique project identification number. This number links spatial project data with tabular project data that are stored in a relational database using Microsoft SQL software.
Description: The Oregon Watershed Restoration Inventory database (OWRI) contains information about completed restoration projects that were implemented in Oregon beginning in 1995. The complete dataset consists of point, line, and polygon features. Data for projects not funded by the Oregon Watershed Enhancement Board (OWEB) are acquired through a voluntary "Annual Call for Data"; while reporting is required for projects funded by OWEB and Oregon Department of Fish and Wildlife R & E grant programs. Restoration practitioners submit a standardized reporting form and attach project location maps. Once acquired, data sheets and maps are each assigned a unique project identification number. This number links spatial project data with tabular project data that are stored in a relational database using Microsoft SQL software.