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Whooping Crane Migrational Habitat Use Draft (2)
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Whooping Crane Migrational Habitat Use Draft (2)
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Last modified
1/26/2010 4:37:13 PM
Creation date
6/3/2009 9:41:23 AM
Metadata
Fields
Template:
Water Supply Protection
File Number
8461.100
Description
Adaptive Management Workgroup
State
CO
Basin
South Platte
Water Division
1
Date
8/6/2008
Author
Shay Howlin, Clayton Derby, Dale Strickland, Western Ecosystems Technology, Inc.
Title
Whooping Crane Migrational Habitat Use Draft
Water Supply Pro - Doc Type
Report/Study
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Land cover parameters were obtained from the Bureau of Reclamation (BOR) land use/cover <br />GIS based on 1998 photography (USBOR 2000). Amalgamation of the vegetation classes <br />(VEG DESC) resulted in nine land cover categories. Agriculture included agriculture alfalfa, <br />agriculture bare ground, agriculture corn, agriculture mown field, agriculture other crops, <br />agriculture soy bean, and agriculture other crop. Development included development <br />commercial, development residential, and development single dwelling. Grass included lowland <br />grasses, mown lowland grasses, and upland grasses. Open water included open water pit, pond or <br />lake, open water, open water slough, and open water canal. Shrub/forest included shrubs inside <br />floodplain, shrubs outside floodplain, wooded river within floodplain, woody outside floodplain. <br />Transportation included bridge, other road, railroad, gravel road, interstate, and paved road. <br />Wetted channel included wetted channel and barren beach/bar. Wet vegetation included <br />herbaceous riparian, emergents, and wet meadow mosaic. Wet grass included all land cover <br />classes in the grass and wet vegetation categories. We extracted the distance from each point to <br />the nearest location of each landscape category (meters) and the proportion of each of the <br />landscape category within a 0.25 mile radius buffer. The distance variables were squared to <br />allow for possible non-linear effects. <br />For the models relating landscape level characteristics to crane group selection at a local scale, <br />we defined the available set of points as the subset of the study area available sample of points <br />that fell within 3.2 miles of the used location. We defined the available sample of points for the <br />wetted channel models at a local scale as the subset of points that fell within the 'wetted channel' <br />designation of the 1998 land cover/use GIS layer and 3.2 miles of the used location. The distance <br />for the local area definition was obtained through the movement pattern summary of all the data <br />(see above). <br />For the models relating characteristics measured on the ground to crane group selection in the <br />wetted channel, we defined the available set of points as the set of random locations where <br />decoys were placed during the same survey season. On the ground measurements were obtained <br />by survey crews at the time the profiles were measured. The percentage of fine sand (less than <br />lmm), coarse sand (1-4.9mm), small gravel (5-14.9mm), and large gravel (greater than 15mm) <br />were occularly estimated as the channel was waded. The distance to visual obstructions (objects <br />(e.g., vegetation, bank, etc.) >1.5m above water line) was estimated as the average of the shortest <br />distance to visual obstructions in four quadrants centered on the crane group location. We also <br />estimated the area around the crane use location which was clear of visual obstructions by the <br />product of the squared average distance and pi. Unobstructed width was taken as the distance <br />between obstructions >1.5m in height through which an observer could not see (e.g., dense <br />vegetation) along a line perpendicular to the channel and passing through the crane observation. <br />This distance variable was squared to allow for possible non-linear effects. <br />For the models relating flow dependent characteristics of the wetted channel to crane group <br />selection, we employed the HECRAS 1D hydraulic model constructed by Mohammed Samad for <br />the Platte River Unsteady Flow and Bank Storage Model (Randle and Samad 2007) to estimate <br />the water surface differential for the purpose of adjusting flow dependent parameters. The water <br />surface differential corrects for the change in water surface elevation between the time the river <br />profiles were measured and the time of crane group use. Due to the endangered species status of <br />the whooping crane, we were unable to take measurements of the channel while the birds were in
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