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Insights into the farming-season carbon budget of coastal earthen aquaculture ponds in southeastern China

Ping Yang, Kam Tang Orcid Logo, Hong Yang, Chuan Tong, Nan Yang, Derrick Y.F. Lai, Yan Hong, Manjing Ruan, Yingying Tan, Guanghui Zhao, Ling Li, Chen Tang

Agriculture, Ecosystems and Environment, Volume: 335, Start page: 107995

Swansea University Author: Kam Tang Orcid Logo

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DOI (Published version): 10.1016/j.agee.2022.107995

Abstract

Small-hold aquaculture ponds are widespread in China, but their carbon greenhouse gas emissions are poorly quantified. In this study, we used a carbon budget approach to assess the climate footprint of three earthen aquaculture ponds in southeastern China with the whiteleg shrimp (Litopenaeus vannam...

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Published in: Agriculture, Ecosystems and Environment
ISSN: 0167-8809
Published: Elsevier BV 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa59907
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The main carbon inputs to the ponds were planktonic primary production (58.5–61.8%), followed by commercial feeds (31.9-35.3%), while the major carbon outputs occurred through planktonic respiration (44.0–53.6%) and sedimentation (18.0–21.7%). Water-to-air emissions of carbon greenhouse gases (CO2 and CH4) represented only a small fraction of the carbon flow (0.8–1.6%), with a combined CO2-equivalent emission of 528.4±193.3 mg CO2-eq m−2 h−1 based on GWP20. We also observed significant spatio-temporal variation in carbon greenhouse gases among the three ponds, which could be attributed to the variation in Chl-a and carbon substrate supply. Nevertheless, the magnitude of CH4 emission from these ponds was still higher than some other agro-ecosystems. Moreover, we found that only 21% of the excess organic carbon was converted to shrimp biomass, while another 20% ended up in the sediment. 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spelling v2 59907 2022-04-26 Insights into the farming-season carbon budget of coastal earthen aquaculture ponds in southeastern China 69af43a3b9da24aef65c5d3a44956fe3 0000-0001-9427-9564 Kam Tang Kam Tang true false 2022-04-26 BGPS Small-hold aquaculture ponds are widespread in China, but their carbon greenhouse gas emissions are poorly quantified. In this study, we used a carbon budget approach to assess the climate footprint of three earthen aquaculture ponds in southeastern China with the whiteleg shrimp (Litopenaeus vannamei) during the farming period. The main carbon inputs to the ponds were planktonic primary production (58.5–61.8%), followed by commercial feeds (31.9-35.3%), while the major carbon outputs occurred through planktonic respiration (44.0–53.6%) and sedimentation (18.0–21.7%). Water-to-air emissions of carbon greenhouse gases (CO2 and CH4) represented only a small fraction of the carbon flow (0.8–1.6%), with a combined CO2-equivalent emission of 528.4±193.3 mg CO2-eq m−2 h−1 based on GWP20. We also observed significant spatio-temporal variation in carbon greenhouse gases among the three ponds, which could be attributed to the variation in Chl-a and carbon substrate supply. Nevertheless, the magnitude of CH4 emission from these ponds was still higher than some other agro-ecosystems. Moreover, we found that only 21% of the excess organic carbon was converted to shrimp biomass, while another 20% ended up in the sediment. Our findings suggested that lowering the feed conversion ratio and removing the bottom sediments regularly could help improve production efficiency, reduce the excessive accumulation of carbon-rich detritus and minimize the climatic warming impacts of aquaculture production. Journal Article Agriculture, Ecosystems and Environment 335 107995 Elsevier BV 0167-8809 Aquaculture ponds; Carbon budget; Carbon dioxide; Methane; Global warming potential 1 9 2022 2022-09-01 10.1016/j.agee.2022.107995 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University Not Required This work was funded by the National Natural Science Foundation of China (NSFC) (grant numbers 41801070 and 41671088), and the Natural Science Foundation of Fujian Province of China (grant numbers 2020J01136 and 2018J01737). 2024-07-10T12:17:44.7448755 2022-04-26T16:45:07.1519713 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Ping Yang 1 Kam Tang 0000-0001-9427-9564 2 Hong Yang 3 Chuan Tong 4 Nan Yang 5 Derrick Y.F. Lai 6 Yan Hong 7 Manjing Ruan 8 Yingying Tan 9 Guanghui Zhao 10 Ling Li 11 Chen Tang 12 59907__23916__3e1e6c83a935455b86941977789a3af9.pdf AGEE_authorfinal_26Apr2022.pdf 2022-04-26T16:49:41.7176708 Output 8563860 application/pdf Accepted Manuscript true 2023-05-04T00:00:00.0000000 ©2022 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title Insights into the farming-season carbon budget of coastal earthen aquaculture ponds in southeastern China
spellingShingle Insights into the farming-season carbon budget of coastal earthen aquaculture ponds in southeastern China
Kam Tang
title_short Insights into the farming-season carbon budget of coastal earthen aquaculture ponds in southeastern China
title_full Insights into the farming-season carbon budget of coastal earthen aquaculture ponds in southeastern China
title_fullStr Insights into the farming-season carbon budget of coastal earthen aquaculture ponds in southeastern China
title_full_unstemmed Insights into the farming-season carbon budget of coastal earthen aquaculture ponds in southeastern China
title_sort Insights into the farming-season carbon budget of coastal earthen aquaculture ponds in southeastern China
author_id_str_mv 69af43a3b9da24aef65c5d3a44956fe3
author_id_fullname_str_mv 69af43a3b9da24aef65c5d3a44956fe3_***_Kam Tang
author Kam Tang
author2 Ping Yang
Kam Tang
Hong Yang
Chuan Tong
Nan Yang
Derrick Y.F. Lai
Yan Hong
Manjing Ruan
Yingying Tan
Guanghui Zhao
Ling Li
Chen Tang
format Journal article
container_title Agriculture, Ecosystems and Environment
container_volume 335
container_start_page 107995
publishDate 2022
institution Swansea University
issn 0167-8809
doi_str_mv 10.1016/j.agee.2022.107995
publisher Elsevier BV
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
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description Small-hold aquaculture ponds are widespread in China, but their carbon greenhouse gas emissions are poorly quantified. In this study, we used a carbon budget approach to assess the climate footprint of three earthen aquaculture ponds in southeastern China with the whiteleg shrimp (Litopenaeus vannamei) during the farming period. The main carbon inputs to the ponds were planktonic primary production (58.5–61.8%), followed by commercial feeds (31.9-35.3%), while the major carbon outputs occurred through planktonic respiration (44.0–53.6%) and sedimentation (18.0–21.7%). Water-to-air emissions of carbon greenhouse gases (CO2 and CH4) represented only a small fraction of the carbon flow (0.8–1.6%), with a combined CO2-equivalent emission of 528.4±193.3 mg CO2-eq m−2 h−1 based on GWP20. We also observed significant spatio-temporal variation in carbon greenhouse gases among the three ponds, which could be attributed to the variation in Chl-a and carbon substrate supply. Nevertheless, the magnitude of CH4 emission from these ponds was still higher than some other agro-ecosystems. Moreover, we found that only 21% of the excess organic carbon was converted to shrimp biomass, while another 20% ended up in the sediment. Our findings suggested that lowering the feed conversion ratio and removing the bottom sediments regularly could help improve production efficiency, reduce the excessive accumulation of carbon-rich detritus and minimize the climatic warming impacts of aquaculture production.
published_date 2022-09-01T12:17:44Z
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score 11.037166

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