Using multi-tracer inference to move beyond single-catchment ecohydrology

B.W. Abbott, V. Baranov, C. Mendoza-Lera, M. Nikolakopoulou, A. Harjung, T. Kolbe, M.N. Balasubramanian, T.N. Vaessen, F. Ciocca, A. Campeau, M.B. Wallin, P. Romeijn, M. Antonelli, J. Gonçalves, T. Datry, A.M. Laverman, J.R. de Dreuzy, D.M. Hannah, S. Krause, Carolyn OldhamG. Pinay

    Research output: Contribution to journalReview article

    59 Citations (Scopus)


    © 2016 The AuthorsProtecting or restoring aquatic ecosystems in the face of growing anthropogenic pressures requires an understanding of hydrological and biogeochemical functioning across multiple spatial and temporal scales. Recent technological and methodological advances have vastly increased the number and diversity of hydrological, biogeochemical, and ecological tracers available, providing potentially powerful tools to improve understanding of fundamental problems in ecohydrology, notably: 1. Identifying spatially explicit flowpaths, 2. Quantifying water residence time, and 3. Quantifying and localizing biogeochemical transformation. In this review, we synthesize the history of hydrological and biogeochemical theory, summarize modern tracer methods, and discuss how improved understanding of flowpath, residence time, and biogeochemical transformation can help ecohydrology move beyond description of site-specific heterogeneity. We focus on using multiple tracers with contrasting characteristics (crossing proxies) to infer ecosystem functioning across multiple scales. Specifically, we present how crossed proxies could test recent ecohydrological theory, combining the concepts of hotspots and hot moments with the Damköhler number in what we call the HotDam framework.
    Original languageEnglish
    Pages (from-to)19-42
    Number of pages24
    JournalEarth-Science Reviews
    Publication statusPublished - 2016

    Fingerprint Dive into the research topics of 'Using multi-tracer inference to move beyond single-catchment ecohydrology'. Together they form a unique fingerprint.

  • Cite this

    Abbott, B. W., Baranov, V., Mendoza-Lera, C., Nikolakopoulou, M., Harjung, A., Kolbe, T., Balasubramanian, M. N., Vaessen, T. N., Ciocca, F., Campeau, A., Wallin, M. B., Romeijn, P., Antonelli, M., Gonçalves, J., Datry, T., Laverman, A. M., de Dreuzy, J. R., Hannah, D. M., Krause, S., ... Pinay, G. (2016). Using multi-tracer inference to move beyond single-catchment ecohydrology. Earth-Science Reviews, 160, 19-42.