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Headwater gas exchange quantified from O(2) mass balances at the reach scale
Headwater streams are important in the carbon cycle and there is a need to better parametrize and quantify exchange of carbon‐relevant gases. Thus, we characterized variability in the gas exchange coefficient (k (2)) and dissolved oxygen (O(2)) gas transfer velocity (k) in two lowland headwaters of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220971/ https://www.ncbi.nlm.nih.gov/pubmed/30450019 http://dx.doi.org/10.1002/lom3.10281 |
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author | Rovelli, L. Attard, K. M. Heppell, C. M. Binley, A. Trimmer, M. Glud, R. N. |
author_facet | Rovelli, L. Attard, K. M. Heppell, C. M. Binley, A. Trimmer, M. Glud, R. N. |
author_sort | Rovelli, L. |
collection | PubMed |
description | Headwater streams are important in the carbon cycle and there is a need to better parametrize and quantify exchange of carbon‐relevant gases. Thus, we characterized variability in the gas exchange coefficient (k (2)) and dissolved oxygen (O(2)) gas transfer velocity (k) in two lowland headwaters of the River Avon (UK). The traditional one‐station open‐water method was complemented by in situ quantification of riverine sources and sinks of O(2) (i.e., groundwater inflow, photosynthesis, and respiration in both the water column and benthic compartment) enabling direct hourly estimates of k (2) at the reach–scale (~ 150 m) without relying on the nighttime regression method. Obtained k (2) values ranged from 0.001 h(−1) to 0.600 h(−1). Average daytime k (2) were a factor two higher than values at night, likely due to diel changes in water temperature and wind. Temperature contributed up to 46% of the variability in k on an hourly scale, but clustering temperature incrementally strengthened the statistical relationship. Our analysis suggested that k variability is aligned with dominant temperature trends rather than with short‐term changes. Similarly, wind correlation with k increased when clustering wind speeds in increments correspondent with dominant variations (1 m s(−1)). Time scale is thus an important consideration when resolving physical drivers of gas exchange. Mean estimates of k (600) from recent parametrizations proposed for upscaling, when applied to the settings of this study, were found to be in agreement with our independent O(2) budget assessment (within < 10%), adding further support to the validity of upscaling efforts aiming at quantifying large‐scale riverine gas emissions. |
format | Online Article Text |
id | pubmed-6220971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-62209712018-11-15 Headwater gas exchange quantified from O(2) mass balances at the reach scale Rovelli, L. Attard, K. M. Heppell, C. M. Binley, A. Trimmer, M. Glud, R. N. Limnol Oceanogr Methods New Methods Headwater streams are important in the carbon cycle and there is a need to better parametrize and quantify exchange of carbon‐relevant gases. Thus, we characterized variability in the gas exchange coefficient (k (2)) and dissolved oxygen (O(2)) gas transfer velocity (k) in two lowland headwaters of the River Avon (UK). The traditional one‐station open‐water method was complemented by in situ quantification of riverine sources and sinks of O(2) (i.e., groundwater inflow, photosynthesis, and respiration in both the water column and benthic compartment) enabling direct hourly estimates of k (2) at the reach–scale (~ 150 m) without relying on the nighttime regression method. Obtained k (2) values ranged from 0.001 h(−1) to 0.600 h(−1). Average daytime k (2) were a factor two higher than values at night, likely due to diel changes in water temperature and wind. Temperature contributed up to 46% of the variability in k on an hourly scale, but clustering temperature incrementally strengthened the statistical relationship. Our analysis suggested that k variability is aligned with dominant temperature trends rather than with short‐term changes. Similarly, wind correlation with k increased when clustering wind speeds in increments correspondent with dominant variations (1 m s(−1)). Time scale is thus an important consideration when resolving physical drivers of gas exchange. Mean estimates of k (600) from recent parametrizations proposed for upscaling, when applied to the settings of this study, were found to be in agreement with our independent O(2) budget assessment (within < 10%), adding further support to the validity of upscaling efforts aiming at quantifying large‐scale riverine gas emissions. John Wiley & Sons, Inc. 2018-09-28 2018-10 /pmc/articles/PMC6220971/ /pubmed/30450019 http://dx.doi.org/10.1002/lom3.10281 Text en © 2018 The Authors. Limnology and Oceanography: Methods published by Wiley Periodicals, Inc. on behalf of Association for the Sciences of Limnology and Oceanography. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | New Methods Rovelli, L. Attard, K. M. Heppell, C. M. Binley, A. Trimmer, M. Glud, R. N. Headwater gas exchange quantified from O(2) mass balances at the reach scale |
title | Headwater gas exchange quantified from O(2) mass balances at the reach scale |
title_full | Headwater gas exchange quantified from O(2) mass balances at the reach scale |
title_fullStr | Headwater gas exchange quantified from O(2) mass balances at the reach scale |
title_full_unstemmed | Headwater gas exchange quantified from O(2) mass balances at the reach scale |
title_short | Headwater gas exchange quantified from O(2) mass balances at the reach scale |
title_sort | headwater gas exchange quantified from o(2) mass balances at the reach scale |
topic | New Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220971/ https://www.ncbi.nlm.nih.gov/pubmed/30450019 http://dx.doi.org/10.1002/lom3.10281 |
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