Author
Listed:
- Corey A. Krabbenhoft
(University at Buffalo)
- George H. Allen
(Texas A&M University)
- Peirong Lin
(Peking University)
- Sarah E. Godsey
(Idaho State University)
- Daniel C. Allen
(The Pennsylvania State University)
- Ryan M. Burrows
(The University of Melbourne)
- Amanda G. DelVecchia
(Duke University)
- Ken M. Fritz
(US Environmental Protection Agency)
- Margaret Shanafield
(Flinders University)
- Amy J. Burgin
(University of Kansas)
- Margaret A. Zimmer
(University of California)
- Thibault Datry
(INRAE, UR Riverly, Centre Lyon-Grenoble Auvergne-Rhône-Alpes)
- Walter K. Dodds
(Kansas State University)
- C. Nathan Jones
(University of Alabama)
- Meryl C. Mims
(Virginia Tech)
- Catherin Franklin
(Texas A&M University)
- John C. Hammond
(US Geological Survey MD-DE-DC Water Science Center)
- Sam Zipper
(University of Kansas)
- Adam S. Ward
(Indiana University)
- Katie H. Costigan
(University of Alabama)
- Hylke E. Beck
(Joint Research Centre of the European Commission)
- Julian D. Olden
(University of Washington
Swedish University of Agricultural Sciences)
Abstract
Knowing where and when rivers flow is paramount to managing freshwater ecosystems. Yet stream gauging stations are distributed sparsely across rivers globally and may not capture the diversity of fluvial network properties and anthropogenic influences. Here we evaluate the placement bias of a global stream gauge dataset on its representation of socioecological, hydrologic, climatic and physiographic diversity of rivers. We find that gauges are located disproportionally in large, perennial rivers draining more human-occupied watersheds. Gauges are sparsely distributed in protected areas and rivers characterized by non-perennial flow regimes, both of which are critical to freshwater conservation and water security concerns. Disparities between the geography of the global gauging network and the broad diversity of streams and rivers weakens our ability to understand critical hydrologic processes and make informed water-management and policy decisions. Our findings underscore the need to address current gauge placement biases by investing in and prioritizing the installation of new gauging stations, embracing alternative water-monitoring strategies, advancing innovation in hydrologic modelling, and increasing accessibility of local and regional gauging data to support human responses to water challenges, both today and in the future.
Suggested Citation
Corey A. Krabbenhoft & George H. Allen & Peirong Lin & Sarah E. Godsey & Daniel C. Allen & Ryan M. Burrows & Amanda G. DelVecchia & Ken M. Fritz & Margaret Shanafield & Amy J. Burgin & Margaret A. Zim, 2022.
"Assessing placement bias of the global river gauge network,"
Nature Sustainability, Nature, vol. 5(7), pages 586-592, July.
Handle:
RePEc:nat:natsus:v:5:y:2022:i:7:d:10.1038_s41893-022-00873-0
DOI: 10.1038/s41893-022-00873-0
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