Abstract

Observations of the presence or absence of surface water in streams are useful for characterizing streamflow permanence, which includes the frequency, duration, and spatial extent of surface flow in streams and rivers. Such data are particularly valuable for headwater streams, which comprise the vast majority of channel length in stream networks, are often non-perennial, and are frequently the most data deficient. Datasets of surface water presence exist across multiple data collection groups in the United States but are not well aligned for easy integration. Given the value of these data, a unified approach for organizing information on surface water presence and absence collected by diverse surveys would facilitate more effective and broad application of these data and address the gap in streamflow data in headwaters. In this paper, we highlight the numerous existing datasets on surface water presence in headwater streams, including recently developed crowdsourcing approaches. We identify the challenges of integrating multiple surface water presence/absence datasets that include differences in the definitions and categories of streamflow status, data collection method, spatial and temporal resolution, and accuracy of geographic location. Finally, we provide a list of critical and useful components that could be used to integrate different streamflow permanence datasets.

Highlights

  • Understanding the streamflow permanence of headwater streams is important for regulatory determinations and policy [17,18,19], water resource management [20], and ecological processes [4,10,21,22,23]; streamflow data remain sparse for headwater non-perennial streams, and current streamflow permanence classifications often disagree with in situ observations [24,25,26]

  • Given the abundance of non-perennial streams both within the U.S (Figure 1) and globally [11], and the prospect of declining stream flows in the future [16,27,28], accurately characterizing streamflow permanence represents a major challenge to understanding water availability and throughout the 21st century [24,25]

  • The following are highlighted: (1) information on surface water presence that may be gained from existing surveys that were not originally intended to provide such information; (2) new information from emerging collection protocols and mobile applications intended for this purpose; and (3) the challenges that lie ahead for data integration and database development of surface water presence/absence observations that can advance our understanding of streamflow permanence regimes of headwater streams

Read more

Summary

Introduction

The objective of this paper is to make the case for such a database founded on simple, categorical field observations of the presence or absence of surface water for improved characterization of streamflow permanence regimes of non-perennial systems To address this objective, the following are highlighted: (1) information on surface water presence that may be gained from existing surveys that were not originally intended to provide such information; (2) new information from emerging collection protocols and mobile applications intended for this purpose; and (3) the challenges that lie ahead for data integration and database development of surface water presence/absence observations that can advance our understanding of streamflow permanence regimes of headwater streams. We restricted our application to the continuous United States with a call for a national data repository, but recognize the need for a universal data repository that spans the globe given the worldwide prevalence of non-perennial streams, and apparent scarcity of streamflow data for these non-perennial streams [11]

Background
Surveys That Provide Incidental Information on Streamflow Permanence
Applications of Streamflow Presence Data
Challenges with Compiling Water Presence Observations
Consistency of Terminology and Methods across Sampling Programs
Accuracy of Geographic Information and Association with a Hydrologic Network
Timing and Temporal Resolution
Observation and Sampling Errors
Findings
Next Steps
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call