Channel Network Control on Seasonal Lake Area Dynamics in Arctic Deltas

The abundant lakes dotting arctic deltas are hotspots of methane emissions and biogeochemical activity, but seasonal variability in lake extents introduces uncertainty in estimates of lacustrine carbon emissions, typically performed at annual or longer time scales. To characterize variability in lak...

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Main Author: Tejedor, Alejandro (author)
Other Authors: Foufoula-Georgiou, Efi (author), Piliouras, Anastasia (author), Rowland, Joel (author), Schwenk, Jon (author), Vulis, Lawrence (author)
Published: 2020
Online Access:http://hdl.handle.net/20.500.12458/440
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author Tejedor, Alejandro
author2 Foufoula-Georgiou, Efi
Piliouras, Anastasia
Rowland, Joel
Schwenk, Jon
Vulis, Lawrence
author2_role author
author
author
author
author
author_facet Tejedor, Alejandro
Foufoula-Georgiou, Efi
Piliouras, Anastasia
Rowland, Joel
Schwenk, Jon
Vulis, Lawrence
author_role author
dc.creator.none.fl_str_mv Tejedor, Alejandro
Foufoula-Georgiou, Efi
Piliouras, Anastasia
Rowland, Joel
Schwenk, Jon
Vulis, Lawrence
dc.date.none.fl_str_mv 2020-11-22T06:54:47Z
2020-11-22T06:54:47Z
2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv Geophysical Research Letters 2020 vol: 47 (7) , p 1-10
http://hdl.handle.net/20.500.12458/440
10.1029/2019GL086710
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv Geophysical Research Letters
7
47
1
10
dc.title.none.fl_str_mv Channel Network Control on Seasonal Lake Area Dynamics in Arctic Deltas
dc.type.none.fl_str_mv Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article
description The abundant lakes dotting arctic deltas are hotspots of methane emissions and biogeochemical activity, but seasonal variability in lake extents introduces uncertainty in estimates of lacustrine carbon emissions, typically performed at annual or longer time scales. To characterize variability in lake extents, we analyzed summertime lake area loss (i.e., shrinkage) on two deltas over the past 20 years, using Landsat-derived water masks. We find that monthly shrinkage rates have a pronounced structured variability around the channel network with the shrinkage rate systematically decreasing farther away from the channels. This pattern of shrinkage is predominantly attributed to a deeper active layer enhancing near-surface connectivity and storage and greater vegetation density closer to the channels leading to increased evapotranspiration rates. This shrinkage signal, easily extracted from remote sensing observations, may offer the means to constrain estimates of lacustrine methane emissions and to develop process-based estimates of depth to permafrost on arctic deltas.
id sorbonner_3a63eee0cea076969f1b6fa33f3ddc86
identifier_str_mv Geophysical Research Letters 2020 vol: 47 (7) , p 1-10
10.1029/2019GL086710
language_invalid_str_mv en
network_acronym_str sorbonner
network_name_str Sorbonne University Abu Dhabi repository
oai_identifier_str oai:depot.sorbonne.ae:20.500.12458/440
publishDate 2020
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Channel Network Control on Seasonal Lake Area Dynamics in Arctic DeltasTejedor, AlejandroFoufoula-Georgiou, EfiPiliouras, AnastasiaRowland, JoelSchwenk, JonVulis, LawrenceThe abundant lakes dotting arctic deltas are hotspots of methane emissions and biogeochemical activity, but seasonal variability in lake extents introduces uncertainty in estimates of lacustrine carbon emissions, typically performed at annual or longer time scales. To characterize variability in lake extents, we analyzed summertime lake area loss (i.e., shrinkage) on two deltas over the past 20 years, using Landsat-derived water masks. We find that monthly shrinkage rates have a pronounced structured variability around the channel network with the shrinkage rate systematically decreasing farther away from the channels. This pattern of shrinkage is predominantly attributed to a deeper active layer enhancing near-surface connectivity and storage and greater vegetation density closer to the channels leading to increased evapotranspiration rates. This shrinkage signal, easily extracted from remote sensing observations, may offer the means to constrain estimates of lacustrine methane emissions and to develop process-based estimates of depth to permafrost on arctic deltas.2020-11-22T06:54:47Z2020-11-22T06:54:47Z2020Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdfGeophysical Research Letters 2020 vol: 47 (7) , p 1-10http://hdl.handle.net/20.500.12458/44010.1029/2019GL086710enGeophysical Research Letters747110oai:depot.sorbonne.ae:20.500.12458/4402023-12-05T05:55:11Z
spellingShingle Channel Network Control on Seasonal Lake Area Dynamics in Arctic Deltas
Tejedor, Alejandro
title Channel Network Control on Seasonal Lake Area Dynamics in Arctic Deltas
title_full Channel Network Control on Seasonal Lake Area Dynamics in Arctic Deltas
title_fullStr Channel Network Control on Seasonal Lake Area Dynamics in Arctic Deltas
title_full_unstemmed Channel Network Control on Seasonal Lake Area Dynamics in Arctic Deltas
title_short Channel Network Control on Seasonal Lake Area Dynamics in Arctic Deltas
title_sort Channel Network Control on Seasonal Lake Area Dynamics in Arctic Deltas
url http://hdl.handle.net/20.500.12458/440