Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program
<p>The Siberian Arctic is warming rapidly, causing permafrost to thaw and altering the biogeochemistry of aquatic environments, with cascading effects on the coastal and shelf ecosystems of the Arctic Ocean. The Lena River, one of the largest Arctic rivers, drains a catchment dominated by perm...
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Copernicus Publications
2025-01-01
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| author | B. Juhls A. Morgenstern J. Hölemann A. Eulenburg B. Heim F. Miesner F. Miesner H. Grotheer H. Grotheer G. Mollenhauer G. Mollenhauer H. Meyer E. Erkens E. Erkens F. Y. Gehde S. Antonova S. Chalov S. Chalov M. Tereshina O. Erina E. Fingert E. Abramova T. Sanders L. Lebedeva N. Torgovkin G. Maksimov V. Povazhnyi R. Gonçalves-Araujo U. Wünsch A. Chetverova A. Chetverova S. Opfergelt P. P. Overduin |
| author_facet | B. Juhls A. Morgenstern J. Hölemann A. Eulenburg B. Heim F. Miesner F. Miesner H. Grotheer H. Grotheer G. Mollenhauer G. Mollenhauer H. Meyer E. Erkens E. Erkens F. Y. Gehde S. Antonova S. Chalov S. Chalov M. Tereshina O. Erina E. Fingert E. Abramova T. Sanders L. Lebedeva N. Torgovkin G. Maksimov V. Povazhnyi R. Gonçalves-Araujo U. Wünsch A. Chetverova A. Chetverova S. Opfergelt P. P. Overduin |
| author_sort | B. Juhls |
| collection | DOAJ |
| description | <p>The Siberian Arctic is warming rapidly, causing permafrost to thaw and altering the biogeochemistry of aquatic environments, with cascading effects on the coastal and shelf ecosystems of the Arctic Ocean. The Lena River, one of the largest Arctic rivers, drains a catchment dominated by permafrost. Baseline discharge biogeochemistry data are necessary to understand present and future changes in land-to-ocean fluxes. Here, we present a high-frequency 4.5-year-long dataset from a sampling program of the Lena River's biogeochemistry,<span id="page2"/> spanning April 2018 to August 2022. The dataset comprises 587 sampling events and measurements of various parameters, including water temperature, electrical conductivity, stable oxygen and hydrogen isotopes, dissolved organic carbon concentration and <span class="inline-formula"><sup>14</sup></span>C, colored and fluorescent dissolved organic matter, dissolved inorganic and total nutrients, and dissolved elemental and ion concentrations. Sampling consistency and continuity and data quality were ensured through simple sampling protocols, real-time communication, and collaboration with local and international partners. The data are available as a collection of datasets separated by parameter groups and periods at <span class="uri">https://doi.org/10.1594/PANGAEA.913197</span> (Juhls et al., 2020b). To our knowledge, this dataset provides an unprecedented temporal resolution of an Arctic river's biogeochemistry. This makes it a unique baseline on which future environmental changes, including changes in river hydrology, at temporal scales from precipitation event to seasonal to interannual can be detected.</p> |
| format | Article |
| id | doaj-art-e716fcadd7414265b56a5a7424415c28 |
| institution | Kabale University |
| issn | 1866-3508 1866-3516 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Copernicus Publications |
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| spelling | doaj-art-e716fcadd7414265b56a5a7424415c282025-01-06T11:14:35ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162025-01-011712810.5194/essd-17-1-2025Lena River biogeochemistry captured by a 4.5-year high-frequency sampling programB. Juhls0A. Morgenstern1J. Hölemann2A. Eulenburg3B. Heim4F. Miesner5F. Miesner6H. Grotheer7H. Grotheer8G. Mollenhauer9G. Mollenhauer10H. Meyer11E. Erkens12E. Erkens13F. Y. Gehde14S. Antonova15S. Chalov16S. Chalov17M. Tereshina18O. Erina19E. Fingert20E. Abramova21T. Sanders22L. Lebedeva23N. Torgovkin24G. Maksimov25V. Povazhnyi26R. Gonçalves-Araujo27U. Wünsch28A. Chetverova29A. Chetverova30S. Opfergelt31P. P. Overduin32Permafrost Research, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research,14473 Potsdam, GermanyPermafrost Research, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research,14473 Potsdam, GermanyPhysical Oceanography of Polar Seas, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, GermanyPermafrost Research, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research,14473 Potsdam, GermanyPermafrost Research, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research,14473 Potsdam, GermanyPermafrost Research, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research,14473 Potsdam, GermanyDepartment of Geosciences, University of Oslo, 0316 Oslo, NorwayMarine Geochemistry, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, GermanyMARUM – Center for Marine Environmental Sciences and Faculty of Geosciences, University of Bremen, 28359 Bremen, GermanyMarine Geochemistry, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, GermanyMARUM – Center for Marine Environmental Sciences and Faculty of Geosciences, University of Bremen, 28359 Bremen, GermanyPermafrost Research, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research,14473 Potsdam, GermanyPermafrost Research, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research,14473 Potsdam, GermanyInstitute for Geosciences, University of Potsdam, 14476 Potsdam, GermanyPermafrost Research, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research,14473 Potsdam, GermanyPermafrost Research, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research,14473 Potsdam, GermanyFaculty of Geography, Department of Hydrology, Lomonosov Moscow State University,129626 Moscow, RussiaInstitute of Ecology and Environment, Kazan Federal University, 420097 Kazan, RussiaFaculty of Geography, Department of Hydrology, Lomonosov Moscow State University,129626 Moscow, RussiaFaculty of Geography, Department of Hydrology, Lomonosov Moscow State University,129626 Moscow, RussiaFaculty of Geography, Department of Hydrology, Lomonosov Moscow State University,129626 Moscow, RussiaLena Delta Nature Reserve, 678400 Tiksi, Republic of Sakha, RussiaDepartment of Aquatic Nutrient Cycles, Institute of Carbon Cycles, Helmholtz-Zentrum Hereon, 21502 Geesthacht, GermanyLaboratory of Permafrost Groundwater and Geochemistry, Melnikov Permafrost Institute, Russian Academy of Sciences, 677010 Yakutsk, RussiaLaboratory of Permafrost Groundwater and Geochemistry, Melnikov Permafrost Institute, Russian Academy of Sciences, 677010 Yakutsk, RussiaLaboratory of General Geocryology, Melnikov Permafrost Institute, Russian Academy of Sciences, 677010 Yakutsk, RussiaOtto Schmidt Laboratory for Polar and Marine Research, Arctic and Antarctic Research Institute,199397 St Petersburg, RussiaSection for Oceans and Arctic, National Institute of Aquatic Resources, Technical University of Denmark, 2800 Lyngby, DenmarkSection for Oceans and Arctic, National Institute of Aquatic Resources, Technical University of Denmark, 2800 Lyngby, DenmarkOtto Schmidt Laboratory for Polar and Marine Research, Arctic and Antarctic Research Institute,199397 St Petersburg, RussiaInstitute of Earth Science, St Petersburg University, 199034 St Petersburg, RussiaEarth and Life Institute, Université catholique de Louvain (UCLouvain), 1348 Louvain-la-Neuve, BelgiumPermafrost Research, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research,14473 Potsdam, Germany<p>The Siberian Arctic is warming rapidly, causing permafrost to thaw and altering the biogeochemistry of aquatic environments, with cascading effects on the coastal and shelf ecosystems of the Arctic Ocean. The Lena River, one of the largest Arctic rivers, drains a catchment dominated by permafrost. Baseline discharge biogeochemistry data are necessary to understand present and future changes in land-to-ocean fluxes. Here, we present a high-frequency 4.5-year-long dataset from a sampling program of the Lena River's biogeochemistry,<span id="page2"/> spanning April 2018 to August 2022. The dataset comprises 587 sampling events and measurements of various parameters, including water temperature, electrical conductivity, stable oxygen and hydrogen isotopes, dissolved organic carbon concentration and <span class="inline-formula"><sup>14</sup></span>C, colored and fluorescent dissolved organic matter, dissolved inorganic and total nutrients, and dissolved elemental and ion concentrations. Sampling consistency and continuity and data quality were ensured through simple sampling protocols, real-time communication, and collaboration with local and international partners. The data are available as a collection of datasets separated by parameter groups and periods at <span class="uri">https://doi.org/10.1594/PANGAEA.913197</span> (Juhls et al., 2020b). To our knowledge, this dataset provides an unprecedented temporal resolution of an Arctic river's biogeochemistry. This makes it a unique baseline on which future environmental changes, including changes in river hydrology, at temporal scales from precipitation event to seasonal to interannual can be detected.</p>https://essd.copernicus.org/articles/17/1/2025/essd-17-1-2025.pdf |
| spellingShingle | B. Juhls A. Morgenstern J. Hölemann A. Eulenburg B. Heim F. Miesner F. Miesner H. Grotheer H. Grotheer G. Mollenhauer G. Mollenhauer H. Meyer E. Erkens E. Erkens F. Y. Gehde S. Antonova S. Chalov S. Chalov M. Tereshina O. Erina E. Fingert E. Abramova T. Sanders L. Lebedeva N. Torgovkin G. Maksimov V. Povazhnyi R. Gonçalves-Araujo U. Wünsch A. Chetverova A. Chetverova S. Opfergelt P. P. Overduin Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program Earth System Science Data |
| title | Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program |
| title_full | Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program |
| title_fullStr | Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program |
| title_full_unstemmed | Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program |
| title_short | Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program |
| title_sort | lena river biogeochemistry captured by a 4 5 year high frequency sampling program |
| url | https://essd.copernicus.org/articles/17/1/2025/essd-17-1-2025.pdf |
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