Characterizing hydrologic networks: Developing a tool to enable research of macroscale aquatic networks

Luke A. Winslow, Tobi H. Hahn, Sarah DeVaul Princiotta, Taylor H. Leach, Kevin C. Rose

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Addressing continental scale challenges affecting inland aquatic systems requires data at comparable scales. Critically, local in-situ observations for both lotic and lentic ecosystems are frequently fragmented across federal, state and local agencies, and nonprofit or academic organizations and must be linked to other geospatial data to be useful. To advance macro-scale aquatic ecosystem science, better tools are needed to facilitate dataset integration. Key to integration of aquatic data is the linking of spatial data to the hydrologic network. This integration step is challenging as hydrologic network data are large and cumbersome to manage. Here we develop a new R package, hydrolinks, to ease linking aquatic data to the hydrologic network. We use hydrolinks to evaluate the spatial data quality for all lake and stream sites available through the U.S. Water Quality Portal. We find that 76.5% of lake sites and 13.9% of stream sites do not correspond with mapped waterbodies.

Original languageEnglish (US)
Pages (from-to)94-101
Number of pages8
JournalEnvironmental Modelling and Software
Volume104
DOIs
StatePublished - Jun 2018

All Science Journal Classification (ASJC) codes

  • Software
  • Environmental Engineering
  • Ecological Modeling

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