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“ChesBay 24k – HU": Human Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments

Dates

Publication Date
Start Date
2012
End Date
2021

Citation

Gressler, B.P., Young, J.A., Gordon, S.E., Wieferich, D.J., Maloney, K.O., and Woods, T.E., 2023, “ChesBay 24k – HU": Human Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments: U.S. Geological Survey data release, https://doi.org/10.5066/P9FISYXQ.

Summary

These tabular data are summaries of human related landscape variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as human related include agriculture, barriers, road density and road/stream crossing data. Outputs consist of tabular comma-separated values files (CSVs) for both local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were completed for each of the local catchments and their network connected upstream and/or downstream catchments. The summarized data [...]

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Attached Files

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local_xstrm_nhdhr_human_chesapeake_baywide.csv
“Local Catchment Xstrm Summary Table”
58.39 MB text/csv
upstream_xstrm_nhdhr_human_chesapeake_baywide.csv
“Upstream Accumulation Xstrm Summary Table”
30.37 MB text/csv
downstream_xstrm_nhdhr_human_chesapeake_baywide.csv
“Downstream Accumulation Xstrm Summary Table”
20.54 MB text/csv
xstrm_nhdhr_human_chesapeake_baywide_datadictionary.csv
“Data Dictionary of Xstrm Output Tables”
21.36 KB text/csv
xstrm_nhdhr_cbay_human_summary_expanded_metadata.csv
“Additional Metadata on the Xstrm Summary Process”
11.88 KB text/csv

Purpose

Assessing landscape influences on stream biota is a consistent aspect of research in aquatic ecology. Commonly, landscape influences have been represented through GIS-based summaries using catchments and stream networks represented at 1:100,000 scale. However, this can limit usefulness for applications requiring a finer scale of analysis. Summarizing landscape data within the National Hydrography Dataset Plus High-Resolution (NHD Plus HR) 1:24,000 scale framework provides a more detailed representation of the hydrologic network than the 1:100,000 scale. This finer scale may be more relevant for managers and others working on local projects or studies. Summarizing landscape data within catchments using Xstrm creates a simple framework for compiling environmental data into a tabular structure useful for statistical modeling. Additionally, Xstrm can calculate weighted upstream and downstream influence of landscape variables which is an important consideration when analyzing effects on linear stream flow networks. A potential use for these data would be as input for studies or models that require a finer spatial scale to develop meaningful conclusions of catchment and network landscape influences on stream systems.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9FISYXQ

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