4.7 Review

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

Journal

EARTH-SCIENCE REVIEWS
Volume 160, Issue -, Pages 19-42

Publisher

ELSEVIER
DOI: 10.1016/j.earscirev.2016.06.014

Keywords

Hydrological tracer; Water; Environmental hydrology; Flowpath; Residence time; Exposure time; Reactive transport; GW-SW interactions; Hot spots; Hot moments; Damkohler; Peclet; HotDam; Ecohydrology; Crossed proxies; Tracer; Groundwater; Surface water; Aquatic ecology

Funding

  1. European Union [607150]
  2. French EC2CO grant Caracterisation hydrologique et biogeochimique de la denitrification dans les paysages
  3. French National Agency for Water and Aquatic Environments (ONEMA, Action 13, Colmatage, echanges nappe-riviere et processus biogeochimiques)
  4. NERC [NE/L003872/1] Funding Source: UKRI

Ask authors/readers for more resources

Protecting 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 modem 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 Damkohler number in what we call the HotDam framework. (C) 2016 The Authors. Published by Elsevier B.V.

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