Coincident aboveground and belowground autonomous monitoring to quantify covariability in permafrost, soil, and vegetation properties in Arctic tundra

Coincident monitoring of the spatiotemporal distribution of and interactions between land, soil, and permafrost properties is important for advancing our understanding of ecosystem dynamics. In this paper, a novel monitoring strategy was developed to quantify complex Arctic ecosystem responses to th...

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Bibliographic Details
Published in:Journal of Geophysical Research: Biogeosciences
Main Authors: Dafflon, Baptiste, Oktem, Rusen, Peterson, John, Ulrich, Craig, Tran, Anh Phuong, Romanovsky, Vladimir, Hubbard, Susan S.
Language:unknown
Published: 2021
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1471034
https://www.osti.gov/biblio/1471034
https://doi.org/10.1002/2016JG003724
id ftosti:oai:osti.gov:1471034
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spelling ftosti:oai:osti.gov:1471034 2023-07-30T04:01:19+02:00 Coincident aboveground and belowground autonomous monitoring to quantify covariability in permafrost, soil, and vegetation properties in Arctic tundra Dafflon, Baptiste Oktem, Rusen Peterson, John Ulrich, Craig Tran, Anh Phuong Romanovsky, Vladimir Hubbard, Susan S. 2021-10-25 application/pdf http://www.osti.gov/servlets/purl/1471034 https://www.osti.gov/biblio/1471034 https://doi.org/10.1002/2016JG003724 unknown http://www.osti.gov/servlets/purl/1471034 https://www.osti.gov/biblio/1471034 https://doi.org/10.1002/2016JG003724 doi:10.1002/2016JG003724 58 GEOSCIENCES 2021 ftosti https://doi.org/10.1002/2016JG003724 2023-07-11T09:28:55Z Coincident monitoring of the spatiotemporal distribution of and interactions between land, soil, and permafrost properties is important for advancing our understanding of ecosystem dynamics. In this paper, a novel monitoring strategy was developed to quantify complex Arctic ecosystem responses to the seasonal freeze-thaw-growing season conditions. The strategy exploited autonomous measurements obtained through electrical resistivity tomography to monitor soil properties, pole-mounted optical cameras to monitor vegetation dynamics, point probes to measure soil temperature, and periodic manual measurements of thaw layer thickness, snow thickness, and soil dielectric permittivity. The spatially and temporally dense monitoring data sets revealed several insights about tundra system behavior at a site located near Barrow, AK. In the active layer, the soil electrical conductivity (a proxy for soil water content) indicated an increasing positive correlation with the green chromatic coordinate (a proxy for vegetation vigor) over the growing season, with the strongest correlation (R = 0.89) near the typical peak of the growing season. Soil conductivity and green chromatic coordinate also showed significant positive correlations with thaw depth, which is influenced by soil and surface properties. In the permafrost, soil electrical conductivity revealed annual variations in solute concentration and unfrozen water content, even at temperatures well below 0°C in saline permafrost. These conditions may contribute to an acceleration of long-term thaw in Coastal permafrost regions. Finally, demonstration of this first aboveground and belowground geophysical monitoring approach within an Arctic ecosystem illustrates its significant potential to remotely “visualize” permafrost, soil, and vegetation ecosystem codynamics in high resolution over field relevant scales. Other/Unknown Material Arctic permafrost Tundra SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Journal of Geophysical Research: Biogeosciences 122 6 1321 1342
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 58 GEOSCIENCES
spellingShingle 58 GEOSCIENCES
Dafflon, Baptiste
Oktem, Rusen
Peterson, John
Ulrich, Craig
Tran, Anh Phuong
Romanovsky, Vladimir
Hubbard, Susan S.
Coincident aboveground and belowground autonomous monitoring to quantify covariability in permafrost, soil, and vegetation properties in Arctic tundra
topic_facet 58 GEOSCIENCES
description Coincident monitoring of the spatiotemporal distribution of and interactions between land, soil, and permafrost properties is important for advancing our understanding of ecosystem dynamics. In this paper, a novel monitoring strategy was developed to quantify complex Arctic ecosystem responses to the seasonal freeze-thaw-growing season conditions. The strategy exploited autonomous measurements obtained through electrical resistivity tomography to monitor soil properties, pole-mounted optical cameras to monitor vegetation dynamics, point probes to measure soil temperature, and periodic manual measurements of thaw layer thickness, snow thickness, and soil dielectric permittivity. The spatially and temporally dense monitoring data sets revealed several insights about tundra system behavior at a site located near Barrow, AK. In the active layer, the soil electrical conductivity (a proxy for soil water content) indicated an increasing positive correlation with the green chromatic coordinate (a proxy for vegetation vigor) over the growing season, with the strongest correlation (R = 0.89) near the typical peak of the growing season. Soil conductivity and green chromatic coordinate also showed significant positive correlations with thaw depth, which is influenced by soil and surface properties. In the permafrost, soil electrical conductivity revealed annual variations in solute concentration and unfrozen water content, even at temperatures well below 0°C in saline permafrost. These conditions may contribute to an acceleration of long-term thaw in Coastal permafrost regions. Finally, demonstration of this first aboveground and belowground geophysical monitoring approach within an Arctic ecosystem illustrates its significant potential to remotely “visualize” permafrost, soil, and vegetation ecosystem codynamics in high resolution over field relevant scales.
author Dafflon, Baptiste
Oktem, Rusen
Peterson, John
Ulrich, Craig
Tran, Anh Phuong
Romanovsky, Vladimir
Hubbard, Susan S.
author_facet Dafflon, Baptiste
Oktem, Rusen
Peterson, John
Ulrich, Craig
Tran, Anh Phuong
Romanovsky, Vladimir
Hubbard, Susan S.
author_sort Dafflon, Baptiste
title Coincident aboveground and belowground autonomous monitoring to quantify covariability in permafrost, soil, and vegetation properties in Arctic tundra
title_short Coincident aboveground and belowground autonomous monitoring to quantify covariability in permafrost, soil, and vegetation properties in Arctic tundra
title_full Coincident aboveground and belowground autonomous monitoring to quantify covariability in permafrost, soil, and vegetation properties in Arctic tundra
title_fullStr Coincident aboveground and belowground autonomous monitoring to quantify covariability in permafrost, soil, and vegetation properties in Arctic tundra
title_full_unstemmed Coincident aboveground and belowground autonomous monitoring to quantify covariability in permafrost, soil, and vegetation properties in Arctic tundra
title_sort coincident aboveground and belowground autonomous monitoring to quantify covariability in permafrost, soil, and vegetation properties in arctic tundra
publishDate 2021
url http://www.osti.gov/servlets/purl/1471034
https://www.osti.gov/biblio/1471034
https://doi.org/10.1002/2016JG003724
geographic Arctic
geographic_facet Arctic
genre Arctic
permafrost
Tundra
genre_facet Arctic
permafrost
Tundra
op_relation http://www.osti.gov/servlets/purl/1471034
https://www.osti.gov/biblio/1471034
https://doi.org/10.1002/2016JG003724
doi:10.1002/2016JG003724
op_doi https://doi.org/10.1002/2016JG003724
container_title Journal of Geophysical Research: Biogeosciences
container_volume 122
container_issue 6
container_start_page 1321
op_container_end_page 1342
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