Carbon fluxes and further environmental data from the flood plain on Samoylov Island in the Lena River Delta ...
The current assessments of the carbon turnover in the Arctic tundra are subject to large uncertainties. One of the reasons is the general shortage of flux data from the vast and sparsely inhabited Arctic region. Addressing this issue, fluxes of carbon dioxide and methane have been determined on an a...
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ftdatacite:10.1594/pangaea.902829 2024-04-28T08:07:38+00:00 Carbon fluxes and further environmental data from the flood plain on Samoylov Island in the Lena River Delta ... Rößger, Norman Wille, Christian Kutzbach, Lars 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.902829 https://doi.pangaea.de/10.1594/PANGAEA.902829 en eng PANGAEA https://dx.doi.org/10.5194/bg-16-2591-2019 https://dx.doi.org/10.1016/j.agrformet.2018.06.026 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Arctic Carbon dioxide flux Eddy covariance Lena River Delta Methane flux permafrost Permafrost Samoylov Island Tundra DATE/TIME Carbon dioxide, flux Carbon dioxide, flux, uncertainty Quality flag Methane, flux Methane, flux, uncertainty Temperature, air Vapour pressure deficit Pressure, atmospheric Photosynthetic photon, flux density Wind speed Friction velocity Temperature, soil Eddy Covariance Station Local time UTC+900 Infrared CO₂/H₂O gas analyser, LI-7500A, LI-COR after Rößger et al. 2019; CO₂ article Infrared CH₄ gas analyser, LI-COR, LI-7700 after Rößger et al. 2019; CH₄ article Thermometer, HMP45, Campbell Scientific Hygrometer, HMP45, Campbell Scientific Pressure probe, LI-7550, LI-COR Quantum sensor, SKP215, Skye Instruments Sonic anemometer, CSAT3, Campbell Scientific Soil temperature profile probe, TH3, UMS dataset Dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.90282910.5194/bg-16-2591-201910.1016/j.agrformet.2018.06.026 2024-04-02T12:04:04Z The current assessments of the carbon turnover in the Arctic tundra are subject to large uncertainties. One of the reasons is the general shortage of flux data from the vast and sparsely inhabited Arctic region. Addressing this issue, fluxes of carbon dioxide and methane have been determined on an active flood plain in the Siberian Lena River Delta during the growing seasons 2014 and 2015 by means of the eddy covariance method. For explaining the pronounced spatiotemporal variability in the carbon fluxes, a set of environmental parameters has been utilised. This data set may help to refine estimates of the pan-Arctic greenhouse gas budget and the reduction of its uncertainties. ... Dataset Arctic lena river permafrost Tundra DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Arctic Carbon dioxide flux Eddy covariance Lena River Delta Methane flux permafrost Permafrost Samoylov Island Tundra DATE/TIME Carbon dioxide, flux Carbon dioxide, flux, uncertainty Quality flag Methane, flux Methane, flux, uncertainty Temperature, air Vapour pressure deficit Pressure, atmospheric Photosynthetic photon, flux density Wind speed Friction velocity Temperature, soil Eddy Covariance Station Local time UTC+900 Infrared CO₂/H₂O gas analyser, LI-7500A, LI-COR after Rößger et al. 2019; CO₂ article Infrared CH₄ gas analyser, LI-COR, LI-7700 after Rößger et al. 2019; CH₄ article Thermometer, HMP45, Campbell Scientific Hygrometer, HMP45, Campbell Scientific Pressure probe, LI-7550, LI-COR Quantum sensor, SKP215, Skye Instruments Sonic anemometer, CSAT3, Campbell Scientific Soil temperature profile probe, TH3, UMS |
spellingShingle |
Arctic Carbon dioxide flux Eddy covariance Lena River Delta Methane flux permafrost Permafrost Samoylov Island Tundra DATE/TIME Carbon dioxide, flux Carbon dioxide, flux, uncertainty Quality flag Methane, flux Methane, flux, uncertainty Temperature, air Vapour pressure deficit Pressure, atmospheric Photosynthetic photon, flux density Wind speed Friction velocity Temperature, soil Eddy Covariance Station Local time UTC+900 Infrared CO₂/H₂O gas analyser, LI-7500A, LI-COR after Rößger et al. 2019; CO₂ article Infrared CH₄ gas analyser, LI-COR, LI-7700 after Rößger et al. 2019; CH₄ article Thermometer, HMP45, Campbell Scientific Hygrometer, HMP45, Campbell Scientific Pressure probe, LI-7550, LI-COR Quantum sensor, SKP215, Skye Instruments Sonic anemometer, CSAT3, Campbell Scientific Soil temperature profile probe, TH3, UMS Rößger, Norman Wille, Christian Kutzbach, Lars Carbon fluxes and further environmental data from the flood plain on Samoylov Island in the Lena River Delta ... |
topic_facet |
Arctic Carbon dioxide flux Eddy covariance Lena River Delta Methane flux permafrost Permafrost Samoylov Island Tundra DATE/TIME Carbon dioxide, flux Carbon dioxide, flux, uncertainty Quality flag Methane, flux Methane, flux, uncertainty Temperature, air Vapour pressure deficit Pressure, atmospheric Photosynthetic photon, flux density Wind speed Friction velocity Temperature, soil Eddy Covariance Station Local time UTC+900 Infrared CO₂/H₂O gas analyser, LI-7500A, LI-COR after Rößger et al. 2019; CO₂ article Infrared CH₄ gas analyser, LI-COR, LI-7700 after Rößger et al. 2019; CH₄ article Thermometer, HMP45, Campbell Scientific Hygrometer, HMP45, Campbell Scientific Pressure probe, LI-7550, LI-COR Quantum sensor, SKP215, Skye Instruments Sonic anemometer, CSAT3, Campbell Scientific Soil temperature profile probe, TH3, UMS |
description |
The current assessments of the carbon turnover in the Arctic tundra are subject to large uncertainties. One of the reasons is the general shortage of flux data from the vast and sparsely inhabited Arctic region. Addressing this issue, fluxes of carbon dioxide and methane have been determined on an active flood plain in the Siberian Lena River Delta during the growing seasons 2014 and 2015 by means of the eddy covariance method. For explaining the pronounced spatiotemporal variability in the carbon fluxes, a set of environmental parameters has been utilised. This data set may help to refine estimates of the pan-Arctic greenhouse gas budget and the reduction of its uncertainties. ... |
format |
Dataset |
author |
Rößger, Norman Wille, Christian Kutzbach, Lars |
author_facet |
Rößger, Norman Wille, Christian Kutzbach, Lars |
author_sort |
Rößger, Norman |
title |
Carbon fluxes and further environmental data from the flood plain on Samoylov Island in the Lena River Delta ... |
title_short |
Carbon fluxes and further environmental data from the flood plain on Samoylov Island in the Lena River Delta ... |
title_full |
Carbon fluxes and further environmental data from the flood plain on Samoylov Island in the Lena River Delta ... |
title_fullStr |
Carbon fluxes and further environmental data from the flood plain on Samoylov Island in the Lena River Delta ... |
title_full_unstemmed |
Carbon fluxes and further environmental data from the flood plain on Samoylov Island in the Lena River Delta ... |
title_sort |
carbon fluxes and further environmental data from the flood plain on samoylov island in the lena river delta ... |
publisher |
PANGAEA |
publishDate |
2019 |
url |
https://dx.doi.org/10.1594/pangaea.902829 https://doi.pangaea.de/10.1594/PANGAEA.902829 |
genre |
Arctic lena river permafrost Tundra |
genre_facet |
Arctic lena river permafrost Tundra |
op_relation |
https://dx.doi.org/10.5194/bg-16-2591-2019 https://dx.doi.org/10.1016/j.agrformet.2018.06.026 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.90282910.5194/bg-16-2591-201910.1016/j.agrformet.2018.06.026 |
_version_ |
1797576706290089984 |