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气候模型低估了全球净初级生产力的下降。

Global decline in net primary production underestimated by climate models.

作者信息

Ryan-Keogh Thomas J, Tagliabue Alessandro, Thomalla Sandy J

机构信息

Southern Ocean Carbon-Climate Observatory, CSIR, Cape Town, South Africa.

Department of Earth, Ocean and Ecological Sciences, School of Environmental Sciences, University of Liverpool, Liverpool, UK.

出版信息

Commun Earth Environ. 2025;6(1):75. doi: 10.1038/s43247-025-02051-4. Epub 2025 Feb 1.

DOI:10.1038/s43247-025-02051-4
PMID:39897660
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11785529/
Abstract

Marine net primary production supports critical ecosystem services and the carbon cycle. However, the lack of consensus in the direction and magnitude of projected change in net primary production from models undermines efforts to assess climate impacts on marine ecosystems with confidence. Here we use contemporary remote sensing net primary production trends (1998-2023) from six remote sensing algorithms to discriminate amongst fifteen divergent model projections. A model ranking scheme, based on the similarity of linear responses of net primary production to changes in sea surface temperature, chlorophyll- and the mixed layer, finds that future declines in net primary production are more likely than presently predicted. Even the best ranking models still underestimate the sensitivity of declines in net primary production to ocean warming, suggesting shortcomings remain. Reproducing this greater temperature sensitivity may lead to even larger declines in future net primary production than presently considered for impact assessment.

摘要

海洋净初级生产力支持着关键的生态系统服务和碳循环。然而,模型预测的净初级生产力变化方向和幅度缺乏共识,这削弱了我们自信地评估气候对海洋生态系统影响的努力。在这里,我们使用六种遥感算法得出的当代遥感净初级生产力趋势(1998 - 2023年)来区分十五种不同的模型预测。一种基于净初级生产力对海表面温度、叶绿素和混合层变化的线性响应相似性的模型排名方案发现,未来净初级生产力下降的可能性比目前预测的更大。即使是排名最佳的模型仍低估了净初级生产力下降对海洋变暖的敏感性,这表明仍存在缺陷。再现这种更高的温度敏感性可能导致未来净初级生产力下降幅度比目前影响评估中所考虑的更大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/647c/11785529/5d54f5688133/43247_2025_2051_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/647c/11785529/c07077930a54/43247_2025_2051_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/647c/11785529/22eb5e5a0e72/43247_2025_2051_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/647c/11785529/f2af2afece00/43247_2025_2051_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/647c/11785529/5d54f5688133/43247_2025_2051_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/647c/11785529/c07077930a54/43247_2025_2051_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/647c/11785529/22eb5e5a0e72/43247_2025_2051_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/647c/11785529/f2af2afece00/43247_2025_2051_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/647c/11785529/5d54f5688133/43247_2025_2051_Fig4_HTML.jpg

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本文引用的文献

1
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Nature. 2023 Sep;621(7978):330-335. doi: 10.1038/s41586-023-06439-0. Epub 2023 Aug 16.
2
Multidecadal trend of increasing iron stress in Southern Ocean phytoplankton.南大洋浮游植物中铁胁迫增加的数十年趋势。
Science. 2023 Feb 24;379(6634):834-840. doi: 10.1126/science.abl5237. Epub 2023 Feb 23.
3
Next-generation ensemble projections reveal higher climate risks for marine ecosystems.下一代集合预测揭示了海洋生态系统面临的更高气候风险。
Nat Clim Chang. 2021;11(11):973-981. doi: 10.1038/s41558-021-01173-9. Epub 2021 Oct 21.
4
Southern Ocean anthropogenic carbon sink constrained by sea surface salinity.南大洋人为碳汇受海面盐度限制。
Sci Adv. 2021 Apr 28;7(18). doi: 10.1126/sciadv.abd5964. Print 2021 Apr.
5
Summertime increases in upper-ocean stratification and mixed-layer depth.夏季上层海洋分层和混合层深度增加。
Nature. 2021 Mar;591(7851):592-598. doi: 10.1038/s41586-021-03303-x. Epub 2021 Mar 24.
6
An iron cycle cascade governs the response of equatorial Pacific ecosystems to climate change.铁循环级联控制着赤道太平洋生态系统对气候变化的响应。
Glob Chang Biol. 2020 Nov;26(11):6168-6179. doi: 10.1111/gcb.15316. Epub 2020 Sep 24.
7
Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO.马克斯·普朗克气象研究所地球系统模型1.2版(MPI-ESM1.2)的发展及其对二氧化碳增加的响应
J Adv Model Earth Syst. 2019 Apr;11(4):998-1038. doi: 10.1029/2018MS001400. Epub 2019 Apr 16.
8
Emergent constraint on Arctic Ocean acidification in the twenty-first century.二十一世纪北极海洋酸化的紧急制约因素。
Nature. 2020 Jun;582(7812):379-383. doi: 10.1038/s41586-020-2360-3. Epub 2020 Jun 17.
9
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Nat Methods. 2020 Mar;17(3):261-272. doi: 10.1038/s41592-019-0686-2. Epub 2020 Feb 3.
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