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Stream related data <br />Data on aquatic and aquatic-dependent species, inchannel and riparian habitat, anchor ice <br />susceptible lacatians, minimum instream flow, water short reaches will be useful in assessing <br />ecological sustainabi.lity and critical. stream. reaches. These linear data may be georeferenced and <br />linked to the stream layer. The identified layers can easily be spatially located and portrayed on a <br />map. For any type of analysis and modeling they will need to be georeferenced to a common <br />stream layer. The advantage of attaching them as events to a networked stream layer allows <br />queries upstream and downstream, such as miles or types of critical stream reaches above a point <br />and interest and union analysis. After assembling, mapping, and describing all the available data <br />layers a meeting will be convened to refine and interpret the information on critical stream <br />reaches. Meeting attendees will include staff from Tl<IC, VVRRIF (White River National Forest}, <br />CRWCD, CDWR, and DOW and will represent the disciplines of geomorphology, geology, <br />hydrology, fisheries biology, aquatic ecology, axlcl riparian ecology {as well as anyone interested <br />from the Watershed Collaborative}. Identified critical stream reaches will be added as events t® <br />NHD. <br />Landscape-scale data <br />Landscape-scale data will be used to characterize the inherent landscape characteristics of each <br />subbasin (e. g. Fryingpan, Crystal, headwaters Roaring Fork}, see Crystal River Subbasin <br />document for prototype. These inherent characteristics of the basin influence supply and timing <br />of water to streams. For example, the role of groundwater to the flow regime is greatly <br />influenced by the geology of a subbasin. Land use history and potential changes speculated from <br />zoning data will be useful in determining current and future threats to stream flow.. This. <br />characterization will be useful in assessing the representativeness of each subbasin to subbasins <br />within the Roaring Fork and Upper Colorado. Landscape data will also be used to look at <br />alternatives scenarios for water use in the basin. <br />These data will include land use; irrigated land X993 and~2003, parcels with zoning information, <br />and national elevation data (NED} that can be used to derive slope, aspect, and to automate <br />watershed delineation, geology, precipitation, other climate data, soils, and vegetation. <br />Tools and Data <br />NHD (httlr//nhd.usgs,gav_n <br />How local, state and federal organizations store and utillize their linear referencing data varies not <br />only between the organizations themselves but also between the dap ants within the <br />organizations. Because of this variance, there is a need for flexible toa~fls to create, display, query, <br />analyze, and dislxibute linear referenced data. ''We will use ~ data and tools to provide the <br />foundation for the project. The source data for N~inGeo (geodat~base version of i`} is the <br />1:24,000-scale USGS topographic maps. The blue lines on these reaps age scanned to produce <br />Digital Line Graph (DLGj hydrography. At this mint flee data aa'e gaot sanitable for linear <br />referencing and hydrologic navigation (determining upstgeagn and dlownstreaan linkages) because <br />they contain waterbodies and wide streams are portrayed with a right and left banl~ (double- <br />banked). These two types of features make it very di~c~nlt to detegmine connectivity. The <br />2 <br />