Primary and net ecosystem production in a large lake diagnosed from high‐resolution oxygen measurements
Primary and net ecosystem production in a large lake diagnosed from high‐resolution oxygen measurements
The rates of gross primary production (GPP), ecosystem respiration (R), and net ecosystem production (NEP) provide quantitative information about the cycling of carbon and energy in aquatic ecosystems. In lakes, metabolic rates are often diagnosed from diel oxygen fluctuations recorded with high-resolution sondes. This requires that the imprint of ecosystem metabolism can be separated from that of physical processes. Here, we quantified the vertical and temporal variability of the metabolic rates of a deep, large, mesotrophic lake (Lake Geneva, Switzerland–France) by using a 6-month record (April–October 2019) of high-frequency, depth-resolved (0–30 m) dissolved oxygen measurements. Two new alternative methods (in the time and frequency domain) were used to filter low-frequency basin-scale internal motions from the oxygen signal. Both methods proved successful and yielded consistent metabolic estimates showing net autotrophy (NEP = GPP − R = 55 mmol m
−2 day
−1) over the sampling period and depth interval, with GPP (235 mmol m
−2 day
−1) exceeding R (180 mmol m
−2 day
−1). They also revealed significant temporal variability, with at least two short-lived blooms occurring during calm periods, and a vertical partitioning of metabolism, with stronger diel cycles and positive NEP in the upper ∼10 m and negative NEP below, where the diel oxygen signal was dominated by internal motions. The proposed methods expand the range of applicability of the diel oxygen technique to large lakes hosting energetic, low-frequency internal motions, offering new possibilities for unveiling the rich spatiotemporal metabolism dynamics in these systems.
Lake Geneva, diel oxygen method, internal motions, metabolism, primary production, spectral analysis
Fernández Castro, Bieito
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Chmiel, Hannah Elisa
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Minaudo, Camille
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Krishna, Shubham
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Perolo, Pascal
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Rasconi, Serena
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Wüest, Alfred
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8 May 2021
Fernández Castro, Bieito
8017e93c-d5ee-4bba-b443-9c72ca512d61
Chmiel, Hannah Elisa
a60aed89-da63-415a-a51d-7c8d19b9c7eb
Minaudo, Camille
ad4b8f0b-216f-4acd-8d8d-ed4db5dc7d65
Krishna, Shubham
7d8e2c6a-06e0-4133-a308-49c7213faa82
Perolo, Pascal
1c35f952-142e-4f36-add3-c6f1e6a5b18c
Rasconi, Serena
2e31bba7-d261-4934-b474-0b786de7d6cc
Wüest, Alfred
1d8766ff-b66d-40df-a01e-fe4062512f08
Fernández Castro, Bieito, Chmiel, Hannah Elisa, Minaudo, Camille, Krishna, Shubham, Perolo, Pascal, Rasconi, Serena and Wüest, Alfred
(2021)
Primary and net ecosystem production in a large lake diagnosed from high‐resolution oxygen measurements.
Water Resources Research, 57 (5), [e2020WR029283].
(doi:10.1029/2020WR029283).
Abstract
The rates of gross primary production (GPP), ecosystem respiration (R), and net ecosystem production (NEP) provide quantitative information about the cycling of carbon and energy in aquatic ecosystems. In lakes, metabolic rates are often diagnosed from diel oxygen fluctuations recorded with high-resolution sondes. This requires that the imprint of ecosystem metabolism can be separated from that of physical processes. Here, we quantified the vertical and temporal variability of the metabolic rates of a deep, large, mesotrophic lake (Lake Geneva, Switzerland–France) by using a 6-month record (April–October 2019) of high-frequency, depth-resolved (0–30 m) dissolved oxygen measurements. Two new alternative methods (in the time and frequency domain) were used to filter low-frequency basin-scale internal motions from the oxygen signal. Both methods proved successful and yielded consistent metabolic estimates showing net autotrophy (NEP = GPP − R = 55 mmol m
−2 day
−1) over the sampling period and depth interval, with GPP (235 mmol m
−2 day
−1) exceeding R (180 mmol m
−2 day
−1). They also revealed significant temporal variability, with at least two short-lived blooms occurring during calm periods, and a vertical partitioning of metabolism, with stronger diel cycles and positive NEP in the upper ∼10 m and negative NEP below, where the diel oxygen signal was dominated by internal motions. The proposed methods expand the range of applicability of the diel oxygen technique to large lakes hosting energetic, low-frequency internal motions, offering new possibilities for unveiling the rich spatiotemporal metabolism dynamics in these systems.
Text
2020WR029283
- Accepted Manuscript
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2020WR029283_1_
- Version of Record
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Accepted/In Press date: 3 April 2021
Published date: 8 May 2021
Additional Information:
Funding Information:
We acknowledge Sébastian Lavanchy for his outstanding technical support; Natacha Pasche for her commitment in the management and operation of the LéXPLORE Platform; and Aurelien Balu, Nicolas Escoffier, and Lucas Serra for participating in the mooring maintenance and data collection. We would like to thank the entire team from the LéXPLORE platform, for their administrative and technical support and for the LéXPLORE core data set. We also acknowledge LéXPLORE five partner institutions: Eawag, EPFL, University of Geneva, University of Lausanne, and CARRTEL (INRAE‐USMB). We are grateful to Biel Obrador and Emilio Marañón for their scientific advice. For data concerning Lake Geneva‐SHL2, we acknowledge the Observatory of alpine LAkes (OLA), © SOERE OLA‐IS, AnaEE‐France, INRA of Thonon‐les‐Bains, CIPEL (Rimet et al., 2020 ). This research was funded by the Swiss National Science Foundation grant 200021_179123 (). B.F.C. was also supported by the European Union's Horizon 2020 research and innovation program under the Marie Skodowska‐Curie grant agreement no. 834330 (SO‐CUP). Primary Production Under Oligotrophication in Lakes
Funding Information:
We acknowledge S?bastian Lavanchy for his outstanding technical support; Natacha Pasche for her commitment in the management and operation of the L?XPLORE Platform; and Aurelien Balu, Nicolas Escoffier, and Lucas Serra for participating in the mooring maintenance and data collection. We would like to thank the entire team from the L?XPLORE platform, for their administrative and technical support and for the L?XPLORE core data set. We also acknowledge L?XPLORE five partner institutions: Eawag, EPFL, University of Geneva, University of Lausanne, and CARRTEL (INRAE-USMB). We are grateful to Biel Obrador and Emilio Mara??n for their scientific advice. For data concerning Lake Geneva-SHL2, we acknowledge the Observatory of alpine LAkes (OLA), ? SOERE OLA-IS, AnaEE-France, INRA of Thonon-les-Bains, CIPEL (Rimet et?al.,?2020). This research was funded by the Swiss National Science Foundation grant 200021_179123 (Primary Production Under Oligotrophication in Lakes). B.F.C. was also supported by the European Union's Horizon 2020 research and innovation program under the Marie Skodowska-Curie grant agreement no. 834330 (SO-CUP).
Publisher Copyright:
© 2021. The Authors.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords:
Lake Geneva, diel oxygen method, internal motions, metabolism, primary production, spectral analysis
Identifiers
Local EPrints ID: 449802
URI: http://eprints.soton.ac.uk/id/eprint/449802
ISSN: 0043-1397
PURE UUID: 2851046f-8543-4929-acb9-ef78232d2fbe
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Date deposited: 17 Jun 2021 16:35
Last modified: 17 Mar 2024 04:04
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Contributors
Author:
Hannah Elisa Chmiel
Author:
Camille Minaudo
Author:
Shubham Krishna
Author:
Pascal Perolo
Author:
Serena Rasconi
Author:
Alfred Wüest
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