Future directions for deep ocean climate science and evidence-based decision making

被引:1
|
作者
Pillar, Helen R. [1 ]
Hetherington, Elizabeth [2 ]
Levin, Lisa A. [2 ]
Cimoli, Laura [3 ]
Lauderdale, Jonathan M. [4 ]
van der Grient, Jesse M. A. [5 ]
Johannes, Kristen [2 ]
Heimbach, Patrick [1 ,6 ]
Smith, Leslie [7 ]
Addey, Charles I. [8 ]
Annasawmy, Pavanee [9 ]
Antonio, Sandra [10 ]
Bax, Narissa [11 ,12 ]
Drake, Henri F. [13 ]
Escobar, Elva [14 ]
Elsler, Laura G. [15 ]
Freilich, Mara A. [16 ,17 ]
Gallo, Natalya D. [18 ,19 ]
Girard, Fanny [8 ]
Harke, Matthew J. [20 ]
Jones, Daniel O. B. [21 ]
Joshi, Siddhi [20 ]
Liang, Xinfeng [22 ]
Maroni, Paige J. [23 ,24 ]
Sarti, Otmane [25 ]
Stefanoudis, Paris V. [26 ,27 ,28 ]
Sulpis, Olivier [29 ]
Trossman, David [30 ]
机构
[1] Univ Texas Austin, Oden Inst Computat Engn & Sci, Austin, TX 78712 USA
[2] Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA USA
[3] Univ Cambridge, Dept Appl Math & Theoret Phys, Cambridge, England
[4] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA USA
[5] South Atlantic Environm Res Inst, Stanley, Falkland Island
[6] Univ Texas Austin, Jackson Sch Geosci, Austin, TX USA
[7] Your Ocean Consulting LLC, Knoxville, TN USA
[8] Univ Hawaii Manoa, Dept Oceanog, Honolulu, HI USA
[9] Fdn Rech Biodivers, Ctr Synth & Anal Biodivers, FRB CESAB, Montpellier, France
[10] Univ Nacl Autonoma Mexico, Posgrad Ciencias Biol, Mexico City, Mexico
[11] Greenland Climate Res Ctr, Pinngortitaleriffik Greenland Inst Nat Resources, Nuuk, Greenland
[12] Univ Tasmania, Inst Marine & Antarctic Studies, Australian Ctr Excellence Antarctic Sci, Hobart, Australia
[13] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA
[14] Univ Nacl Autonoma Mexico, Inst Ciencias Mar & Limnol, Mexico City, Mexico
[15] Harvard Univ, TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA USA
[16] Brown Univ, Dept Earth Environm & Planetary Sci, Providence, RI USA
[17] Brown Univ, Div Appl Math, Providence, RI USA
[18] Univ Bergen, Dept Biol Sci, Bergen, Norway
[19] Bjerknes Ctr Climate Res, Bergen, Norway
[20] Gloucester Marine Genom Inst, Gloucester, MA USA
[21] Natl Oceanog Ctr, Southampton, England
[22] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA
[23] Univ Western Australia, Minderoo UWA Deep Sea Res Ctr, Sch Biol Sci, Perth, WA, Australia
[24] Univ Western Australia, UWA Oceans Inst, Perth, WA, Australia
[25] Abdelmalek Essaadi Univ, Tetouan, Morocco
[26] Univ Oxford, Oxford Univ Museum Nat Hist, Oxford, England
[27] Nekton Fdn, Oxford, England
[28] Biodivers Consultancy, Cambridge, England
[29] Aix Marseille Univ, Coll France, CEREGE, INRAE,CNRS,IRD, Aix En Provence, France
[30] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD USA
来源
FRONTIERS IN CLIMATE | 2024年 / 6卷
基金
英国自然环境研究理事会;
关键词
deep sea; climate science; evidence-based decision making; IPCC; uncertainty; vulnerability and risk; NORTH-ATLANTIC SIMULATIONS; MESOPELAGIC FISHES; HYDROTHERMAL VENTS; ANTHROPOGENIC CO2; ENVIRONMENTAL DNA; SEA; CARBON; ARGO; CONSERVATION; COMMUNITIES;
D O I
10.3389/fclim.2024.1445694
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Introduction A defining aspect of the Intergovernmental Panel on Climate Change (IPCC) assessment reports (AR) is a formal uncertainty language framework that emphasizes higher certainty issues across the reports, especially in the executive summaries and short summaries for policymakers. As a result, potentially significant risks involving understudied components of the climate system are shielded from view.Methods Here we seek to address this in the latest, sixth assessment report (AR6) for one such component-the deep ocean-by summarizing major uncertainties (based on discussions of low confidence issues or gaps) regarding its role in our changing climate system. The goal is to identify key research priorities to improve IPCC confidence levels in deep ocean systems and facilitate the dissemination of IPCC results regarding potentially high impact deep ocean processes to decision-makers. This will accelerate improvement of global climate projections and aid in informing efforts to mitigate climate change impacts. An analysis of 3,000 pages across the six selected AR6 reports revealed 219 major science gaps related to the deep ocean. These were categorized by climate stressor and nature of impacts.Results Half of these are biological science gaps, primarily surrounding our understanding of changes in ocean ecosystems, fisheries, and primary productivity. The remaining science gaps are related to uncertainties in the physical (32%) and biogeochemical (15%) ocean states and processes. Model deficiencies are the leading cited cause of low certainty in the physical ocean and ice states, whereas causes of biological uncertainties are most often attributed to limited studies and observations or conflicting results.Discussion Key areas for coordinated effort within the deep ocean observing and modeling community have emerged, which will improve confidence in the deep ocean state and its ongoing changes for the next assessment report. This list of key "known unknowns" includes meridional overturning circulation, ocean deoxygenation and acidification, primary production, food supply and the ocean carbon cycle, climate change impacts on ocean ecosystems and fisheries, and ocean-based climate interventions. From these findings, we offer recommendations for AR7 to avoid omitting low confidence-high risk changes in the climate system.
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