Suppr超能文献

寻找海洋 CO 去除评估的自然类似物。

Seeking natural analogs to fast-forward the assessment of marine CO removal.

机构信息

Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS 7004, Australia

Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS 7004, Australia.

出版信息

Proc Natl Acad Sci U S A. 2021 Oct 5;118(40). doi: 10.1073/pnas.2106147118.

Abstract

Mitigating global climate change will require gigaton-scale carbon dioxide removal (CDR) as a supplement to rapid emissions reduction. The oceans cover 71% of the Earth surface and have the potential to provide much of the required CDR. However, none of the proposed marine CDR (mCDR) methods is sufficiently well understood to determine their real-world efficiency and environmental side effects. Here, we argue that using natural mCDR analogs should become the third interconnecting pillar in the mCDR assessment as they bridge the gap between numerical simulations (i.e., large scale/reduced complexity) and experimental studies (i.e., small scale/high complexity). Natural mCDR analogs occur at no cost, can provide a wealth of data to inform mCDR, and do not require legal permission or social license for their study. We propose four simple criteria to identify particularly useful analogs: 1) large scale, 2) abruptness of perturbation, 3) availability of unperturbed control sites, and 4) reoccurrence. Based on these criteria, we highlight four examples: 1) equatorial upwelling as a natural analog for artificial upwelling, 2) downstream of Kerguelen Island for ocean iron fertilization, 3) the Black and Caspian Seas for ocean alkalinity enhancement, and 4) the Great Atlantic Belt for ocean afforestation. These natural analogs provide a reality check for experimental assessments and numerical modeling of mCDR. Ultimately, projections of mCDR efficacy and sustainability supported by observations from natural analogs will provide the real-world context for the public debate and will facilitate political decisions on mCDR implementation. We anticipate that a rigorous investigation of natural analogs will fast-forward the urgently needed assessment of mCDR.

摘要

缓解全球气候变化需要大规模的二氧化碳去除(CDR)作为快速减排的补充。海洋覆盖了地球表面的 71%,具有提供所需 CDR 的巨大潜力。然而,目前提出的海洋 CDR(mCDR)方法都没有得到充分的理解,无法确定其实际效率和环境副作用。在这里,我们认为利用自然的 mCDR 类似物应该成为 mCDR 评估的第三个相互连接的支柱,因为它们在数值模拟(即大规模/简化复杂性)和实验研究(即小规模/高复杂性)之间架起了桥梁。自然的 mCDR 类似物无需成本,可以提供大量数据来为 mCDR 提供信息,并且不需要法律许可或社会许可就可以对其进行研究。我们提出了四个简单的标准来识别特别有用的类似物:1)大规模,2)扰动的突然性,3)未受干扰的对照点的可用性,4)重现性。基于这些标准,我们重点介绍了四个例子:1)赤道上升流是人工上升流的自然类似物,2)凯尔盖朗群岛下游是海洋铁施肥的自然类似物,3)黑海和里海是海洋碱度增强的自然类似物,4)大西洋腰带是海洋造林的自然类似物。这些自然类似物为 mCDR 的实验评估和数值建模提供了现实检验。最终,通过自然类似物的观测来支持的 mCDR 功效和可持续性的预测将为公众辩论提供现实背景,并促进关于 mCDR 实施的政治决策。我们预计对自然类似物的严格调查将加速急需的 mCDR 评估。

相似文献

4
Potential negative effects of ocean afforestation on offshore ecosystems.海洋造林对近海生态系统的潜在负面影响。
Nat Ecol Evol. 2022 Jun;6(6):675-683. doi: 10.1038/s41559-022-01722-1. Epub 2022 Apr 21.
10
Chapter 1. Impacts of the oceans on climate change.第一章 海洋对气候变化的影响。
Adv Mar Biol. 2009;56:1-150. doi: 10.1016/S0065-2881(09)56001-4.

引用本文的文献

1
Potential negative effects of ocean afforestation on offshore ecosystems.海洋造林对近海生态系统的潜在负面影响。
Nat Ecol Evol. 2022 Jun;6(6):675-683. doi: 10.1038/s41559-022-01722-1. Epub 2022 Apr 21.

本文引用的文献

2
The future of Blue Carbon science.蓝碳科学的未来。
Nat Commun. 2019 Sep 5;10(1):3998. doi: 10.1038/s41467-019-11693-w.
3
The great Atlantic belt.大 西洋 带。
Science. 2019 Jul 5;365(6448):83-87. doi: 10.1126/science.aaw7912.
4
Seeing is Believing: Diatoms and the Ocean Carbon Cycle Revisited.眼见为实:再探硅藻与海洋碳循环
Protist. 2018 Dec;169(6):791-802. doi: 10.1016/j.protis.2018.08.004. Epub 2018 Aug 27.
5
Trajectories of the Earth System in the Anthropocene.人类世地球系统的轨迹。
Proc Natl Acad Sci U S A. 2018 Aug 14;115(33):8252-8259. doi: 10.1073/pnas.1810141115. Epub 2018 Aug 6.
6
Hydrochemistry and nutrient distribution in southern deep-water basin of the Caspian Sea.里海南部深水区水化学及营养盐分布
Mar Pollut Bull. 2018 Feb;127:406-411. doi: 10.1016/j.marpolbul.2017.12.013. Epub 2017 Dec 21.
7
Natural climate solutions.自然气候解决方案。
Proc Natl Acad Sci U S A. 2017 Oct 31;114(44):11645-11650. doi: 10.1073/pnas.1710465114. Epub 2017 Oct 16.
9
A roadmap for rapid decarbonization.快速脱碳路线图。
Science. 2017 Mar 24;355(6331):1269-1271. doi: 10.1126/science.aah3443.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验