Assessing placement bias of the global river gauge network

Simple item page
dc.contributor.authorKrabbenhoft, Corey A.
dc.contributor.authorAllen, George H.
dc.contributor.authorLin, Peirong
dc.contributor.authorGodsey, Sarah E.
dc.contributor.authorAllen, Daniel C.
dc.contributor.authorBurrows, Ryan M.
dc.contributor.authorDelVecchia, Amanda G.
dc.contributor.authorFritz, Ken M.
dc.contributor.authorShanafield, Margaret
dc.contributor.authorBurgin, Amy J.
dc.contributor.authorZimmer, Margaret A.
dc.contributor.authorDatry, Thibault
dc.contributor.authorDodds, Walter K.
dc.contributor.authorJones, C. Nathan
dc.contributor.authorMims, Meryl C.
dc.contributor.authorFranklin, Catherin
dc.contributor.authorHammond, John C.
dc.contributor.authorZipper, Sam
dc.contributor.authorWard, Adam S.
dc.contributor.authorCostigan, Katie H.
dc.contributor.authorBeck, Hylke E.
dc.contributor.authorOlden, Julian D.
dc.contributor.otherState University of New York (SUNY) Buffalo
dc.contributor.otherTexas A&M University College Station
dc.contributor.otherPeking University
dc.contributor.otherIdaho
dc.contributor.otherIdaho State University
dc.contributor.otherPennsylvania State University
dc.contributor.otherPennsylvania State University - University Park
dc.contributor.otherUniversity of Melbourne
dc.contributor.otherDuke University
dc.contributor.otherUnited States Environmental Protection Agency
dc.contributor.otherFlinders University South Australia
dc.contributor.otherUniversity of Kansas
dc.contributor.otherUniversity of California Santa Cruz
dc.contributor.otherINRAE
dc.contributor.otherKansas State University
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.contributor.otherVirginia Polytechnic Institute & State University
dc.contributor.otherUnited States Department of the Interior
dc.contributor.otherUnited States Geological Survey
dc.contributor.otherIndiana University Bloomington
dc.contributor.otherEuropean Commission Joint Research Centre
dc.contributor.otherEC JRC ISPRA Site
dc.contributor.otherUniversity of Washington
dc.contributor.otherUniversity of Washington Seattle
dc.contributor.otherSwedish University of Agricultural Sciences
dc.date.accessioned2023-09-28T19:35:40Z
dc.date.available2023-09-28T19:35:40Z
dc.date.issued2022
dc.description.abstractHydrologic data collected from river gauges inform critical decisions for allocating water resources, conserving ecosystems and predicting the occurrence of droughts and floods. The current global river gauge network is biased towards large, perennial rivers, and strategic adaptations are needed to capture the full scope of rivers on Earth. 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.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationKrabbenhoft, C. A., Allen, G. H., Lin, P., Godsey, S. E., Allen, D. C., Burrows, R. M., DelVecchia, A. G., Fritz, K. M., Shanafield, M., Burgin, A. J., Zimmer, M. A., Datry, T., Dodds, W. K., Jones, C. N., Mims, M. C., Franklin, C., Hammond, J. C., Zipper, S., Ward, A. S., … Olden, J. D. (2022). Assessing placement bias of the global river gauge network. In Nature Sustainability (Vol. 5, Issue 7, pp. 586–592). Springer Science and Business Media LLC. https://doi.org/10.1038/s41893-022-00873-0
dc.identifier.doi10.1038/s41893-022-00873-0
dc.identifier.orcidhttps://orcid.org/0000-0002-5804-0510
dc.identifier.orcidhttps://orcid.org/0000-0002-8735-5757
dc.identifier.orcidhttps://orcid.org/0000-0002-6666-8930
dc.identifier.orcidhttps://orcid.org/0000-0003-1710-1548
dc.identifier.orcidhttps://orcid.org/0000-0003-4252-5991
dc.identifier.orcidhttps://orcid.org/0000-0002-2630-8287
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11502
dc.languageEnglish
dc.language.isoen_US
dc.publisherNature Portfolio
dc.subjectFRESH-WATER
dc.subjectHEADWATER STREAMS
dc.subjectCLIMATE-CHANGE
dc.subjectBIODIVERSITY
dc.subjectTRACKING
dc.subjectMODEL
dc.subjectSCALE
dc.subjectGreen & Sustainable Science & Technology
dc.subjectEnvironmental Sciences
dc.subjectEnvironmental Studies
dc.titleAssessing placement bias of the global river gauge networken_US
dc.typeArticle
dc.typetext
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
10.1038s41893-022-00873-0.pdf
Size:
1.15 MB
Format:
Adobe Portable Document Format
Download
Collections
Research and Publications - Department of Human Environmental Sciences, General