Two Decades of Increase in Southern Ocean Net Community Production Revealed by BGC-Argo Floats

IF 5.5 2区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Guillaume Liniger, Jonathan D. Sharp, Yuichiro Takeshita, Kenneth S. Johnson
{"title":"Two Decades of Increase in Southern Ocean Net Community Production Revealed by BGC-Argo Floats","authors":"Guillaume Liniger,&nbsp;Jonathan D. Sharp,&nbsp;Yuichiro Takeshita,&nbsp;Kenneth S. Johnson","doi":"10.1029/2024GB008371","DOIUrl":null,"url":null,"abstract":"<p>Nitrate is an essential nutrient for phytoplankton growth and is a primary component of ocean carbon cycling. In this study, we developed a neural network constrained by the high spatial and temporal coverage of BGC-Argo floats to predict nitrate in a consistent way throughout space and time in the Southern Ocean, a key area for ocean carbon uptake and controlling global ocean nutrient distributions. After correcting for physical and sampling biases using the Biogeochemical Southern Ocean State Estimate model, we show that annual net community production (ANCP), originally calculated from seasonal nitrate drawdown, reveals the greatest production around the 45–55°S meridional band, and an average basin-wide ANCP of 3.91 ± 0.13 PgC y<sup>−1</sup> with a significant increase of 0.67% y<sup>−1</sup> from 2004 to 2022. We also highlight that using the common nitrate seasonal drawdown method to derive ANCP might underestimate the true carbon export at depth by about one third. Our findings align with previous studies, which indicate an increase in surface satellite chlorophyll-<i>a</i> and model export fluxes. Our results demonstrate the potential of leveraging machine learning constrained by BGC-Argo observations to study long-term changes of biogeochemical processes in the ocean.</p>","PeriodicalId":12729,"journal":{"name":"Global Biogeochemical Cycles","volume":"39 8","pages":""},"PeriodicalIF":5.5000,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2024GB008371","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Biogeochemical Cycles","FirstCategoryId":"89","ListUrlMain":"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024GB008371","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Nitrate is an essential nutrient for phytoplankton growth and is a primary component of ocean carbon cycling. In this study, we developed a neural network constrained by the high spatial and temporal coverage of BGC-Argo floats to predict nitrate in a consistent way throughout space and time in the Southern Ocean, a key area for ocean carbon uptake and controlling global ocean nutrient distributions. After correcting for physical and sampling biases using the Biogeochemical Southern Ocean State Estimate model, we show that annual net community production (ANCP), originally calculated from seasonal nitrate drawdown, reveals the greatest production around the 45–55°S meridional band, and an average basin-wide ANCP of 3.91 ± 0.13 PgC y−1 with a significant increase of 0.67% y−1 from 2004 to 2022. We also highlight that using the common nitrate seasonal drawdown method to derive ANCP might underestimate the true carbon export at depth by about one third. Our findings align with previous studies, which indicate an increase in surface satellite chlorophyll-a and model export fluxes. Our results demonstrate the potential of leveraging machine learning constrained by BGC-Argo observations to study long-term changes of biogeochemical processes in the ocean.

Abstract Image

Abstract Image

BGC-Argo浮标揭示的南大洋净群落产量二十年来的增长
硝酸盐是浮游植物生长所必需的营养物质,是海洋碳循环的主要组成部分。在这项研究中,我们开发了一个神经网络,该网络受BGC-Argo浮标高时空覆盖的约束,以一致的方式预测南大洋中硝酸盐的时空分布,南大洋是海洋碳吸收和控制全球海洋营养分布的关键区域。在利用生物地球化学南大洋状态估计模型修正物理和采样偏差后,我们发现,最初由季节硝酸盐下降计算的年净群落产量(ANCP)显示,45-55°S经向带附近的产量最大,2004 - 2022年全流域平均ANCP为3.91±0.13 PgC y - 1,显著增加0.67% y - 1。我们还强调,使用常见的硝酸盐季节性减少方法来获得ANCP可能会低估深度的真实碳输出约三分之一。我们的发现与以前的研究一致,表明地表卫星叶绿素-a和模式输出通量增加。我们的研究结果证明了利用BGC-Argo观测限制的机器学习来研究海洋生物地球化学过程的长期变化的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Global Biogeochemical Cycles
Global Biogeochemical Cycles 环境科学-地球科学综合
CiteScore
8.90
自引率
7.70%
发文量
141
审稿时长
8-16 weeks
期刊介绍: Global Biogeochemical Cycles (GBC) features research on regional to global biogeochemical interactions, as well as more local studies that demonstrate fundamental implications for biogeochemical processing at regional or global scales. Published papers draw on a wide array of methods and knowledge and extend in time from the deep geologic past to recent historical and potential future interactions. This broad scope includes studies that elucidate human activities as interactive components of biogeochemical cycles and physical Earth Systems including climate. Authors are required to make their work accessible to a broad interdisciplinary range of scientists.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信