Search

Search Results

• 81. [Article] Oregon Fish Passage Barriers

  Abstract -- The Oregon Fish Passage Barrier Data Standard (OFPBDS) dataset contains barriers to fish passage in Oregon watercourses. Barriers include the following types of natural or artificial structures: ...

  Citation × Citation Citation Abstract Copy Title: Oregon Fish Passage Barriers Abstract -- The Oregon Fish Passage Barrier Data Standard (OFPBDS) dataset contains barriers to fish passage in Oregon watercourses. Barriers include the following types of natural or artificial structures: bridges, cascades, culverts, dams, debris jams, fords, natural falls, tide gates, and weirs. The OFPBDS dataset does not include structures which are not associated with in-stream features (such as dikes, levees or berms). Barriers are structures which do, or potentially may, impede fish movement and migration. Barriers can be known to cause complete or partial blockage to fish passage, or they can be completely passable, or they may have an unknown passage status. This dataset complies with version 1.1 of the OFBPDS data standard. New optional attributes have been added to describe fish passage barrier feature modifications, to describe supplementary information (via a comments field) and also to linear reference the barrier features to the National Hydrography Dataset. The OFPBDS dataset now contains over 40,000 barrier features from 19 separate sources including: Oregon Department of Fish and Wildlife (ODFW), Oregon Department of Transportation (ODOT), Oregon Department of Water Resources (OWRD), Oregon Department of Forestry (ODF), Oregon Watershed Enhancement Board (OWEB), Oregon Department of Land Conservation and Development (DLCD) US Bureau of Land Management (BLM), US Forest Service, Nez Perce Tribe, Benton SWCD, Washington county, Lower Columbia River Estuary Partnership and watershed councils representing the Rogue, Umpqua, Siuslaw, Santiam, Calapooia, Clackamas and Scapoose basins. The Data Steward obtained fish passage barrier data from multiple data originators between 2008 and 2015, collaborated with them to develop inclusion / exclusion criteria and dataset specific crosswalks for converting data from its original data structure to the structure of the OFPBDS. The data were then converted into the OFPBDS format and analyzed for duplication with existing OFPBDS barrier features. Where duplicates were identified, depending upon the scenario, one feature was either chosen over the other or in some cases attributes from different sources are combined. Source information is retained for each feature. The data were then loaded into the OFPBDS database. Barrier features were linear referenced (Framework Hydro only which is outside of the standard) and the corresponding optional attribute elements were populated. The data conversion, duplication reconciliation and linear referencing protocols are documented in the Oregon Fish Passage Barrier Data Management Plan. A separate dataset containing fish passage barrier features that have been completely removed or replaced (e.g. dam removals and culvert replacements) is published simultaneously with the OFPBDS dataset. The OFPBDS database is the most comprehensive compilation of fish passage barrier information in Oregon however, it does NOT represent a complete and current record of every fish passage barrier within the state. Efforts to address deficiencies in data currency, completeness and accuracy are ongoing and are often limited by lack of sufficient resources. Attributes (including key attributes such as fish passage status) are often unknown or incomplete. Consistency in attribution also varies among data originators. Field verification of barrier features and their attributes will be an important component to making this dataset current, comprehensive and accurate. Fish passage status is a key attribute. Many barrier features have an unknown passage status. For other features, the passage status may have changed since it was originally documented. Note that this metadata file is best viewed in ArcCatalog. Documentation for the OFPBDS can be found online at http://www.oregon.gov/DAS/EISPD/GEO/docs/bioscience/OregonFishPassageBarrierDataStandardv1dot1.pdf. Title: Oregon Fish Passage Barriers Abstract -- The Oregon Fish Passage Barrier Data Standard (OFPBDS) dataset contains barriers to fish passage in Oregon watercourses. Barriers include the following types of natural or artificial structures: bridges, cascades, culverts, dams, debris jams, fords, natural falls, tide gates, and weirs. The OFPBDS dataset does not include structures which are not associated with in-stream features (such as dikes, levees or berms). Barriers are structures which do, or potentially may, impede fish movement and migration. Barriers can be known to cause complete or partial blockage to fish passage, or they can be completely passable, or they may have an unknown passage status. This dataset complies with version 1.1 of the OFBPDS data standard. New optional attributes have been added to describe fish passage barrier feature modifications, to describe supplementary information (via a comments field) and also to linear reference the barrier features to the National Hydrography Dataset. The OFPBDS dataset now contains over 40,000 barrier features from 19 separate sources including: Oregon Department of Fish and Wildlife (ODFW), Oregon Department of Transportation (ODOT), Oregon Department of Water Resources (OWRD), Oregon Department of Forestry (ODF), Oregon Watershed Enhancement Board (OWEB), Oregon Department of Land Conservation and Development (DLCD) US Bureau of Land Management (BLM), US Forest Service, Nez Perce Tribe, Benton SWCD, Washington county, Lower Columbia River Estuary Partnership and watershed councils representing the Rogue, Umpqua, Siuslaw, Santiam, Calapooia, Clackamas and Scapoose basins. The Data Steward obtained fish passage barrier data from multiple data originators between 2008 and 2015, collaborated with them to develop inclusion / exclusion criteria and dataset specific crosswalks for converting data from its original data structure to the structure of the OFPBDS. The data were then converted into the OFPBDS format and analyzed for duplication with existing OFPBDS barrier features. Where duplicates were identified, depending upon the scenario, one feature was either chosen over the other or in some cases attributes from different sources are combined. Source information is retained for each feature. The data were then loaded into the OFPBDS database. Barrier features were linear referenced (Framework Hydro only which is outside of the standard) and the corresponding optional attribute elements were populated. The data conversion, duplication reconciliation and linear referencing protocols are documented in the Oregon Fish Passage Barrier Data Management Plan. A separate dataset containing fish passage barrier features that have been completely removed or replaced (e.g. dam removals and culvert replacements) is published simultaneously with the OFPBDS dataset. The OFPBDS database is the most comprehensive compilation of fish passage barrier information in Oregon however, it does NOT represent a complete and current record of every fish passage barrier within the state. Efforts to address deficiencies in data currency, completeness and accuracy are ongoing and are often limited by lack of sufficient resources. Attributes (including key attributes such as fish passage status) are often unknown or incomplete. Consistency in attribution also varies among data originators. Field verification of barrier features and their attributes will be an important component to making this dataset current, comprehensive and accurate. Fish passage status is a key attribute. Many barrier features have an unknown passage status. For other features, the passage status may have changed since it was originally documented. Note that this metadata file is best viewed in ArcCatalog. Documentation for the OFPBDS can be found online at http://www.oregon.gov/DAS/EISPD/GEO/docs/bioscience/OregonFishPassageBarrierDataStandardv1dot1.pdf. Close

• 82. [Article] OASIS - Use of Stratified Random Sampling to Estimate the Abundance of Oregon Coastal Coho Salmon

  Abstract -- Management of coho salmon (Oncorhynchus kisutch) in Oregon is heavily dependent upon estimates of the spawning escapement of Oregon coastal natural OCN) coho salmon. OCN coho salmon consist ...

  Citation × Citation Citation Abstract Copy Title: OASIS - Use of Stratified Random Sampling to Estimate the Abundance of Oregon Coastal Coho Salmon Abstract -- Management of coho salmon (Oncorhynchus kisutch) in Oregon is heavily dependent upon estimates of the spawning escapement of Oregon coastal natural OCN) coho salmon. OCN coho salmon consist of an aggregate of wild coho salmon populations that originate from Oregon coastal river basins south of the Columbia River and north of Cape Blanco. OCN spawning escapement estimates are an integral component of the management of salmon fisheries in the ocean. Escapement estimates are also used to assess progress towards meeting goals addressed in Oregon's Coho Salmon Plan (ODFW 1982), the Salmon Framework Plan of the Pacific Fisheries Management Council (PFMC 1984), the Oregon Department of Fish and Wildlife (ODFW) Wild Fish Policy, the Oregon Salmon Restoration Plan (Oregon 1997) and various management plans for coastal basins. During 1985-86, the Oregon State University Department of Statistics was contracted by ODFW to review the method used to estimate OCN spawning escapement and to recommend procedures for improving the methodology (Ganio et al.1986). Five sources of bias were identified in the methodology: (1) methods of survey site selection, (2) estimates of the life span of fish in survey sites, (3) counting of nonspawning fish in survey sites, (4) under-counting of fish in survey sites, and (5)estimates of total miles of spawning habitat. The authors concluded that the method of survey site selection was probably the most serious source of bias because of evidence that survey sites were predominantly located in "better than average" spawning habitat. To improve the methodology used to estimate OCN escapement, the authors proposed a sampling plan designed to reduce survey site selection bias and to provide an estimate of the precision of the escapement estimate. The recommended sampling plan incorporated a stratified random sampling (SRS) scheme, where, within geographic 2 sampling units, survey sites are randomly selected from the estimated available miles of coho salmon spawning habitat. Although the SRS survey procedure proposed by Ganio et al. (1986) was a means of vastly improving OCN escapement estimates, more information was needed before this procedure could be adopted. Procedures needed to be developed for selecting and surveying random survey sites (Ganio et al. 1986). The feasibility of incorporating additional levels of stratification to improve the efficiency of the sampling program and account for additional escapement resulting from hatchery fish was needed. More accurate estimates of the available spawning habitat for coho salmon in coastal watersheds were necessary for the development of an effective SRS scheme and ultimately, as a means of improving absolute escapement estimates. Finally, the relationship between spawning densities estimated from the standard coho salmon survey program and spawning densities estimated from a SRS program needed to be determined. Title: OASIS - Use of Stratified Random Sampling to Estimate the Abundance of Oregon Coastal Coho Salmon Abstract -- Management of coho salmon (Oncorhynchus kisutch) in Oregon is heavily dependent upon estimates of the spawning escapement of Oregon coastal natural OCN) coho salmon. OCN coho salmon consist of an aggregate of wild coho salmon populations that originate from Oregon coastal river basins south of the Columbia River and north of Cape Blanco. OCN spawning escapement estimates are an integral component of the management of salmon fisheries in the ocean. Escapement estimates are also used to assess progress towards meeting goals addressed in Oregon's Coho Salmon Plan (ODFW 1982), the Salmon Framework Plan of the Pacific Fisheries Management Council (PFMC 1984), the Oregon Department of Fish and Wildlife (ODFW) Wild Fish Policy, the Oregon Salmon Restoration Plan (Oregon 1997) and various management plans for coastal basins. During 1985-86, the Oregon State University Department of Statistics was contracted by ODFW to review the method used to estimate OCN spawning escapement and to recommend procedures for improving the methodology (Ganio et al.1986). Five sources of bias were identified in the methodology: (1) methods of survey site selection, (2) estimates of the life span of fish in survey sites, (3) counting of nonspawning fish in survey sites, (4) under-counting of fish in survey sites, and (5)estimates of total miles of spawning habitat. The authors concluded that the method of survey site selection was probably the most serious source of bias because of evidence that survey sites were predominantly located in "better than average" spawning habitat. To improve the methodology used to estimate OCN escapement, the authors proposed a sampling plan designed to reduce survey site selection bias and to provide an estimate of the precision of the escapement estimate. The recommended sampling plan incorporated a stratified random sampling (SRS) scheme, where, within geographic 2 sampling units, survey sites are randomly selected from the estimated available miles of coho salmon spawning habitat. Although the SRS survey procedure proposed by Ganio et al. (1986) was a means of vastly improving OCN escapement estimates, more information was needed before this procedure could be adopted. Procedures needed to be developed for selecting and surveying random survey sites (Ganio et al. 1986). The feasibility of incorporating additional levels of stratification to improve the efficiency of the sampling program and account for additional escapement resulting from hatchery fish was needed. More accurate estimates of the available spawning habitat for coho salmon in coastal watersheds were necessary for the development of an effective SRS scheme and ultimately, as a means of improving absolute escapement estimates. Finally, the relationship between spawning densities estimated from the standard coho salmon survey program and spawning densities estimated from a SRS program needed to be determined. Close