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Particulate Organic Matter Dynamics in a Permafrost Headwater Stream and the Kolyma River Mainstem

  • Lisa Bröder*
  • , Anya Davydova
  • , Sergey Davydov
  • , Nikita Zimov
  • , Negar Haghipour
  • , Timothy I. Eglinton
  • , Jorien E. Vonk
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Ongoing rapid arctic warming leads to extensive permafrost thaw, which in turn increases the hydrologic connectivity of the landscape by opening up subsurface flow paths. Suspended particulate organic matter (POM) has proven useful to trace permafrost thaw signals in arctic rivers, which may experience higher organic matter loads in the future due to expansion and increasing intensity of thaw processes such as thermokarst and river bank erosion. Here we focus on the Kolyma River watershed in Northeast Siberia, the world's largest watershed entirely underlain by continuous permafrost. To evaluate and characterize the present-day fluvial release of POM from permafrost thaw, we collected water samples every 4–7 days during the 4-month open water season in 2013 and 2015 from the lower Kolyma River mainstem and from a small nearby headwater stream (Y3) draining an area completely underlain by Yedoma permafrost (Pleistocene ice- and organic-rich deposits). Concentrations of particulate organic carbon generally followed the hydrograph with the highest concentrations during the spring flood in late May/early June. For the Kolyma River, concentrations of dissolved organic carbon showed a similar behavior, in contrast to the headwater stream, where dissolved organic carbon values were generally higher and particulate organic carbon concentrations lower than for Kolyma. Carbon isotope analysis (δ13C, Δ14C) suggested Kolyma-POM to stem from both contemporary and older permafrost sources, while Y3-POM was more strongly influenced by in-stream production and recent vegetation. Lipid biomarker concentrations (high-molecular-weight n-alkanoic acids and n-alkanes) did not display clear seasonal patterns, yet implied Y3-POM to be more degraded than Kolyma-POM.

Original languageEnglish
Article numbere2019JG005511
Pages (from-to)1-16
Number of pages16
JournalJournal of Geophysical Research: Biogeosciences
Volume125
Issue number2
Early online date29 Jan 2020
DOIs
Publication statusPublished - 1 Feb 2020

Funding

The authors would like to acknowledge funding through the European Research Council (StG THAWSOME, 676982), the Dutch Research Council (NWO Veni 863.12.004), and the US‐NSF Polaris Project (1044610). Partially, the study was carried out in the framework of the State Scientific Project of the Russian Academy of Sciences: AAAAA16‐116110810014‐2 of the Pacific Geographical Institute of FEBRAS (Far Eastern Branch of the Russian Academy of Sciences). We thank the Laboratory for Ion Beam Physics at ETH Zürich for support with the radiocarbon analyses. All data used in this study are available in the supporting information (Tables S1 – S8 ) and via DataverseNL ( https://hdl.handle.net/10411/JJOZKK ). Last but not least we wish to thank two anonymous reviewers and Miguel Goñi for their constructive comments on a previous version of the manuscript. The authors would like to acknowledge funding through the European Research Council (StG THAWSOME, 676982), the Dutch Research Council (NWO Veni 863.12.004), and the US-NSF Polaris Project (1044610). Partially, the study was carried out in the framework of the State Scientific Project of the Russian Academy of Sciences: AAAAA16-116110810014-2 of the Pacific Geographical Institute of FEBRAS (Far Eastern Branch of the Russian Academy of Sciences). We thank the Laboratory for Ion Beam Physics at ETH Zürich for support with the radiocarbon analyses. All data used in this study are available in the supporting information (Tables S1–S8) and via DataverseNL (https://hdl.handle.net/10411/JJOZKK). Last but not least we wish to thank two anonymous reviewers and Miguel Goñi for their constructive comments on a previous version of the manuscript.

FundersFunder number
Pacific Geographical Institute of FEBRAS
US‐NSF Polaris Project
European Research Council
Far East Branch, Russian Academy of Sciences
Horizon 2020 Framework Programme676982, 1044610
Russian Academy of SciencesAAAAA16-116110810014-2
National Science Foundation1044610
Nederlandse Organisatie voor Wetenschappelijk OnderzoekVeni 863.12.004, 863.12.004

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 13 - Climate Action
      SDG 13 Climate Action

    Keywords

    • Arctic
    • carbon isotopes
    • Kolyma
    • lipid biomarkers
    • particulate organic carbon
    • permafrost

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