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Ecological Reach Identification Table For NHDPlusV2: Version 2.0

Dates

Publication Date
Start Date
2014
End Date
2014

Summary

Using a combination of tabular and spatial data queries, we identified 133,111 flowlines in the National Hydrography Dataset Plus Version 2 (NHDPlusV2) that were created due to breaks in flowlines resulting from flowline intersection with quadrangle map boundaries. We found instances of this occurring in all 18 processing units of the NHDplusV2 dataset. To aid in managing for this characteristic of the NHDPlus, this EcoReach table (nhdplusv2_ecoreachv2.0.csv) assigns all flowlines into units that are representative of ecological stream reaches. These "ecological stream reaches" may be defined by: stream origins, stream confluences, lake or reservoir inflows or outflows, and/or stream outflows (described in more detail in Wang et al. [...]

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Attached Files

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Nhdplusv2_ecoreachv2_0.csv
“EcoReach Table for NHDPlusV2”
57.43 MB text/plain; charset=windows-1252
EcoID_NHDPlusV2.jpg
“Spatial Representation of Non-ecological Reaches”
thumbnail 4.02 MB image/jpeg

Purpose

This tabular identification of non-ecological flowlines resulting from flowline intersection with quadrangle boundaries aids in characterizing information from the NHDPlus specifically for ecologically-defined units. This product does not alter the original version of the NHDPlusV2 and therefore allows for transferability of quantified and summarized variables with current and past research using the NHDPlusV2. Ultimately, this table will facilitate the work of researchers and modelers wishing to summarize or report results specific to ecological river reaches and/or their catchments.Steps for using this table to perform management or summary of information for ecological stream reaches may differ depending on user preferences and needed information, but the following steps are recommended: 1) Attribute data to each of the NHDPlus flowlines and/or associated catchments. 2) Join the EcoReach table to the summaries using the comid field as the join field. 3) Aggregate summary data to ecoids. 4) Use the data associated with ecoids to perform analyses. 5) Link results back to the comids using EcoReach tables for mapping and/or summary.

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