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Predicted riparian vegetation - Potential for Habitat Improvement in the Columbia River Basin

Metadata Updated: August 19, 2022

Basin-wide analysis of potential to improve tributary habitats in the Columbia River basin through restoration of habitat-forming processes.

Identification of geomorphological target conditions for river restoration is typically based on locally measured reference conditions, yet few reference sites remain in much of the 630,000 km2 Columbia River Basin, USA. Therefore, we predicted reference conditions throughout the basin based on key reach-scale variables, which we empirically derived from a limited number of reference sites. We developed a GIS data set that depicts pre-settlement riparian vegetation in the Columbia River Basin to guide stream restoration for endangered salmon. However, the modeled riparian species composition was quite inaccurate, so we are not distributing these model results.

Methods: We first created a data layer of historic riparian vegetation information from survey notes that were taken mid-19th to early 20th century during the Public Land Survey System (PLSS) conducted by General Land Office (GLO). Our reconstructed riparian vegetation data include randomly sampled basin-wide data (drainage area 200,000 km2), as well as intensively reconstructed watershed-level data (3,000 km2). Second, based on the reconstructed riparian vegetation points, which are arrayed along a 1-mile (1600 m) grid, we are developing statistical models to estimate potential historic riparian vegetation types (conifer, hardwood, willow-shrub, grass, sage) as well as the probability of occurrence of individual species at stream reach level (~ 200 m) in the basin. We examined environmental variables, such as mean annual precipitation, average minimum and maximum temperature, channel gradient, channel bankful width, floodplain width, and fine sediment supply potential, against five vegetation types and found that precipitation and temperature discriminate vegetation groups. We also developed vegetation response curves against each variable, using kernel density estimates to describe the probability of each vegetation type occurring across the range of each environmental variable. GIS hydrography layer with riparian attributes.

Access & Use Information

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Date August 9, 2022
Metadata Created Date November 12, 2020
Metadata Updated Date August 19, 2022
Reference Date(s) September 1, 2008 (creation), November 21, 2017 (publication)
Frequency Of Update

Additional Metadata

Resource Type Dataset
Metadata Date August 9, 2022
Metadata Created Date November 12, 2020
Metadata Updated Date August 19, 2022
Reference Date(s) September 1, 2008 (creation), November 21, 2017 (publication)
Responsible Party (Point of Contact, Custodian)
Contact Email
Guid gov.noaa.nmfs.inport:20561
Access Constraints Cite As: Northwest Fisheries Science Center, [Date of Access]: Predicted riparian vegetation - Potential for Habitat Improvement in the Columbia River Basin [Data Date Range], https://www.fisheries.noaa.gov/inport/item/20561., Access Constraints: NA |
Bbox East Long -122.2962
Bbox North Lat 47.6549
Bbox South Lat 47.6449
Bbox West Long -122.3062
Coupled Resource
Frequency Of Update
Harvest Object Id df7b3813-5ca7-463b-a03a-6a2425d27044
Harvest Source Id ba43549f-8268-499d-bec8-91b164cb168f
Harvest Source Title NMFS NWFSC
Licence NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
Metadata Language eng
Metadata Type geospatial
Old Spatial {"type": "Polygon", "coordinates": [[[-122.3062, 47.6449], [-122.2962, 47.6449], [-122.2962, 47.6549], [-122.3062, 47.6549], [-122.3062, 47.6449]]]}
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True
Temporal Extent Begin 2010-01-01
Temporal Extent End 2014-01-07

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