Clear Creek Instream Flow to Habitat Area Relationship

A dataset containing the Weighted Usable Area (WUA) in square feet per 1000 feet as a function of flow in cubic feet per second

clear_creek_instream

Format

dataframe with 23 rows and 11 variables:

flow_cfs

integer flow value in cubic feet per second

FR_fry_wua

fall run fry (up to 50 mm) WUA in square feet per 1000 feet

FR_juv_wua

fall run juvenile WUA in square feet per 1000 feet

FR_spawn_wua

fall run spawning WUA in square feet per 1000 feet

SR_fry_wua

spring run fry (up to 50 mm) WUA in square feet per 1000 feet

SR_juv_wua

spring run fry juvenile WUA in square feet per 1000 feet

SR_spawn_wua

spring run fry spawning WUA in square feet per 1000 feet

ST_fry_wua

steelhead fry (up to 50 mm) WUA in square feet per 1000 feet

ST_juv_wua

steelhead juvenile WUA in square feet per 1000 feet

ST_spawn_wua

steelhead spawning WUA in square feet per 1000 feet

watershed

name of watershed

Source

FWS 2007-2013

Details

The spawning and rearing WUA were derived from a FWS River2D model. The WUA values are from three river segments, Upper Alluvial (2.27 miles), Canyon Segment (7.33 miles), and Lower Alluvial (8.81 miles). Fall Run are only in the Lower Alluvial Segment and there is a segregation weir that prevents the Spring Run from spawning in the Lower Alluvial Segment.

Examples

clear_creek_instream
#> # A tibble: 23 x 10
#>    flow_cfs FR_spawn_wua FR_fry_wua FR_juv_wua SR_spawn_wua SR_fry_wua
#>       <dbl>        <dbl>      <dbl>      <dbl>        <dbl>      <dbl>
#>  1       50        13000     11526.      4835.         34.3      3139.
#>  2       75        13000     11367.      5341.         65.5      3094.
#>  3      100        13000     11082.      5753.         98.4      3116.
#>  4      125        13000     10788.      6090.        128.       3179.
#>  5      150        13000     10549.      6382.        157.       3192.
#>  6      175        13000     10280.      6642.        187.       3237.
#>  7      200        13000     10114.      6841.        212.       3280.
#>  8      225        13000      9967.      6996.        235.       3399.
#>  9      250        13000      9847.      7099.        257.       3482.
#> 10      275        13000      9769.      7197.        278.       3659.
#> # ... with 13 more rows, and 4 more variables: SR_juv_wua <dbl>,
#> #   ST_spawn_wua <dbl>, ST_fry_wua <dbl>, ST_juv_wua <dbl>