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Significant inter-annual fluctuation in CO2 and CH4 diffusive fluxes from subtropical aquaculture ponds: Implications for climate change and carbon emission evaluations
Water Research, Volume: 249, Start page: 120943
Swansea University Author: Kam Tang
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DOI (Published version): 10.1016/j.watres.2023.120943
Abstract
Aquaculture ponds are potential hotspots for carbon cycling and emission of greenhouse gases (GHGs) like CO2 and CH4, but they are often poorly assessed in the global GHG budget. This study determined the temporal variations of CO2 and CH4 concentrations and diffusive fluxes and their environmental...
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ISSN: | 0043-1354 1879-2448 |
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Elsevier BV
2024
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This study determined the temporal variations of CO2 and CH4 concentrations and diffusive fluxes and their environmental drivers in coastal aquaculture ponds in southeastern China over a five-year period (2017–2021). The findings indicated that CH4 flux from aquaculture ponds fluctuated markedly year-to-year, and CO2 flux varied between positive and negative between years. The coefficient of inter-annual variation of CO2 and CH4 diffusive fluxes was 168% and 127%, respectively, highlighting the importance of long-term observations to improve GHG assessment from aquaculture ponds. In addition to chlorophyll-a and dissolved oxygen as the common environmental drivers, CO2 was further regulated by total dissolved phosphorus and CH4 by dissolved organic carbon. Feed conversion ratio correlated positively with both CO2 and CH4 concentrations and fluxes, showing that unconsumed feeds fueled microbial GHG production. A linear regression based on binned (averaged) monthly CO2 diffusive flux data, calculated from CO2 concentrations, can be used to estimate CH4 diffusive flux with a fair degree of confidence (r2 = 0.66; p < 0.001). This algorithm provides a simple and practical way to assess the total carbon diffusive flux from aquaculture ponds. 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v2 65189 2023-12-03 Significant inter-annual fluctuation in CO2 and CH4 diffusive fluxes from subtropical aquaculture ponds: Implications for climate change and carbon emission evaluations 69af43a3b9da24aef65c5d3a44956fe3 0000-0001-9427-9564 Kam Tang Kam Tang true false 2023-12-03 SBI Aquaculture ponds are potential hotspots for carbon cycling and emission of greenhouse gases (GHGs) like CO2 and CH4, but they are often poorly assessed in the global GHG budget. This study determined the temporal variations of CO2 and CH4 concentrations and diffusive fluxes and their environmental drivers in coastal aquaculture ponds in southeastern China over a five-year period (2017–2021). The findings indicated that CH4 flux from aquaculture ponds fluctuated markedly year-to-year, and CO2 flux varied between positive and negative between years. The coefficient of inter-annual variation of CO2 and CH4 diffusive fluxes was 168% and 127%, respectively, highlighting the importance of long-term observations to improve GHG assessment from aquaculture ponds. In addition to chlorophyll-a and dissolved oxygen as the common environmental drivers, CO2 was further regulated by total dissolved phosphorus and CH4 by dissolved organic carbon. Feed conversion ratio correlated positively with both CO2 and CH4 concentrations and fluxes, showing that unconsumed feeds fueled microbial GHG production. A linear regression based on binned (averaged) monthly CO2 diffusive flux data, calculated from CO2 concentrations, can be used to estimate CH4 diffusive flux with a fair degree of confidence (r2 = 0.66; p < 0.001). This algorithm provides a simple and practical way to assess the total carbon diffusive flux from aquaculture ponds. Overall, this study provides new insights into mitigating the carbon footprint of aquaculture production and assessing the impact of aquaculture ponds on the regional and global scales. Journal Article Water Research 249 120943 Elsevier BV 0043-1354 1879-2448 Greenhouse gases; Diffusive flux; Carbon footprint; Climate impact; Aquaculture ponds 1 2 2024 2024-02-01 10.1016/j.watres.2023.120943 http://dx.doi.org/10.1016/j.watres.2023.120943 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University Not Required 2024-04-03T15:24:25.0555079 2023-12-03T13:13:57.3954739 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Ping Yang 0000-0002-5212-6065 1 Linhai Zhang 2 Yongxin Lin 0000-0002-0305-5766 3 Hong Yang 4 Derrick Y.F. Lai 0000-0002-1225-9904 5 Chuan Tong 6 Yifei Zhang 7 Lishan Tan 8 Guanghui Zhao 9 Kam Tang 0000-0001-9427-9564 10 65189__29168__6d66c78b61d94a96adf9312e94ba44a7.pdf WaterRes_dec2023_authorfinal.pdf 2023-12-03T13:20:24.1817033 Output 4182114 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy. true eng https://creativecommons.org/licenses/by/4.0/ |
title |
Significant inter-annual fluctuation in CO2 and CH4 diffusive fluxes from subtropical aquaculture ponds: Implications for climate change and carbon emission evaluations |
spellingShingle |
Significant inter-annual fluctuation in CO2 and CH4 diffusive fluxes from subtropical aquaculture ponds: Implications for climate change and carbon emission evaluations Kam Tang |
title_short |
Significant inter-annual fluctuation in CO2 and CH4 diffusive fluxes from subtropical aquaculture ponds: Implications for climate change and carbon emission evaluations |
title_full |
Significant inter-annual fluctuation in CO2 and CH4 diffusive fluxes from subtropical aquaculture ponds: Implications for climate change and carbon emission evaluations |
title_fullStr |
Significant inter-annual fluctuation in CO2 and CH4 diffusive fluxes from subtropical aquaculture ponds: Implications for climate change and carbon emission evaluations |
title_full_unstemmed |
Significant inter-annual fluctuation in CO2 and CH4 diffusive fluxes from subtropical aquaculture ponds: Implications for climate change and carbon emission evaluations |
title_sort |
Significant inter-annual fluctuation in CO2 and CH4 diffusive fluxes from subtropical aquaculture ponds: Implications for climate change and carbon emission evaluations |
author_id_str_mv |
69af43a3b9da24aef65c5d3a44956fe3 |
author_id_fullname_str_mv |
69af43a3b9da24aef65c5d3a44956fe3_***_Kam Tang |
author |
Kam Tang |
author2 |
Ping Yang Linhai Zhang Yongxin Lin Hong Yang Derrick Y.F. Lai Chuan Tong Yifei Zhang Lishan Tan Guanghui Zhao Kam Tang |
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Journal article |
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Water Research |
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249 |
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120943 |
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2024 |
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Swansea University |
issn |
0043-1354 1879-2448 |
doi_str_mv |
10.1016/j.watres.2023.120943 |
publisher |
Elsevier BV |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences |
url |
http://dx.doi.org/10.1016/j.watres.2023.120943 |
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description |
Aquaculture ponds are potential hotspots for carbon cycling and emission of greenhouse gases (GHGs) like CO2 and CH4, but they are often poorly assessed in the global GHG budget. This study determined the temporal variations of CO2 and CH4 concentrations and diffusive fluxes and their environmental drivers in coastal aquaculture ponds in southeastern China over a five-year period (2017–2021). The findings indicated that CH4 flux from aquaculture ponds fluctuated markedly year-to-year, and CO2 flux varied between positive and negative between years. The coefficient of inter-annual variation of CO2 and CH4 diffusive fluxes was 168% and 127%, respectively, highlighting the importance of long-term observations to improve GHG assessment from aquaculture ponds. In addition to chlorophyll-a and dissolved oxygen as the common environmental drivers, CO2 was further regulated by total dissolved phosphorus and CH4 by dissolved organic carbon. Feed conversion ratio correlated positively with both CO2 and CH4 concentrations and fluxes, showing that unconsumed feeds fueled microbial GHG production. A linear regression based on binned (averaged) monthly CO2 diffusive flux data, calculated from CO2 concentrations, can be used to estimate CH4 diffusive flux with a fair degree of confidence (r2 = 0.66; p < 0.001). This algorithm provides a simple and practical way to assess the total carbon diffusive flux from aquaculture ponds. Overall, this study provides new insights into mitigating the carbon footprint of aquaculture production and assessing the impact of aquaculture ponds on the regional and global scales. |
published_date |
2024-02-01T15:24:21Z |
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1795323867018821632 |
score |
11.037581 |