HR: 09:15h
AN: H11F-06    [Abstracts]
TI: Are Site-Based Sampling Protocols Useful for Characterizing Watersheds and Fish Distribution Patterns Necessary for Successful Restoration?
AU: * Gresswell, R E
EM: bgresswell@usgs.gov
AF: USGS -Northern Rocky Mountain Science Center, 1648 South 7th Avenue, Bozeman, MT 59717 United States
AU: Olsen, A R
EM: olsen.tony@epa.gov
AF: USEPA NHEERL, Western Ecology Division, 200 S.W. 35th Street, Corvallis, OR 97333 United States
AU: Bateman, D S
EM: douglas_bateman@usgs.gov
AF: Department of Forest Sciences, Oregon State University, 3200 SW Jefferson Way, Corvallis, OR 97331 United States
AU: Larsen, D P
EM: larsen@mail.cor.epa.gov
AF: USEPA NHEERL, Western Ecology Division, 200 S.W. 35th Street, Corvallis, OR 97333 United States
AU: Torgersen, C E
EM: ctorgersen@usgs.gov
AF: USGS - Foreset and Rangeland Ecosystem Science Center, 3200 SW Jefferson Way, Corvallis, OR 97331 United States
AU: Hockman-Wert, D
EM: david_hockman-wert@usgs.gov
AF: USGS - Foreset and Rangeland Ecosystem Science Center, 3200 SW Jefferson Way, Corvallis, OR 97331 United States
AB: In order to characterize the ecological condition of Pacific Northwest watersheds and evaluate restoration programs, interagency teams have developed the Aquatic and Riparian Effectiveness Monitoring Plan. Monitoring is targeted at the subwatershed scale (6th-field Hydrologic Unit Code), and a rigorous sampling protocol has been developed for variables that will be measured at a subset of sites within each watershed. In order to evaluate a site-selection procedure based on a probability sampling strategy, we used Monte Carlo simulations of random samples of stream sections that were approximately 40 channel-widths in length. Physical and biological data collected from continuous censuses of fish and habitat in 22 third-order watersheds provided a known population from which samples were drawn. Estimates from 5, 10, 15, and 20 sample sections per watershed were compared to census information. Simulated samples and census data were further evaluated by examining spatial relationships using semivariograms. This simulation procedure provided measures of uncertainty associated with estimates at site, watershed, and population scales, and results suggest that a probability-based sampling protocol provides precise estimates that may be useful for monitoring restoration efforts at the regional scale. Spatial analysis, however, underscored the limitations site-based data for describing basic fish and habitat distributions and the factors that can influence successful restoration in stream networks.
DE: 0400 BIOGEOSCIENCES
DE: 0434 Data sets
DE: 0439 Ecosystems, structure and dynamics (4815)
DE: 0481 Restoration
DE: 0483 Riparian systems (0744, 1856)
SC: Hydrology [H]
MN: Fall Meeting 2005