September 2025

September 2025 | Oceanography

31

archiving centers need to be connected and interoperable, so as

to essentially create one location for all the data, thus making data

discovery, sharing, and use easier. For example, a large portion of

the quality-controlled ocean carbon data from across the globe is,

by community agreement, archived in the United States at NOAA’s

Ocean Carbon and Acidification Data System, although many

countries have their own national data centers. This data shar-

ing facilitates use of the data beyond their immediate applications,

resulting in products such as SOCAT and GLODAP. Requirements

for reporting on OA are now being implemented at an interna-

tional policy level through the UN Sustainable Development Goal

(SDG) 14.3 target designed to “minimize and address the impacts

of ocean acidification,” which is also driving the development of

standardized metadata formats, common language, and a fed-

erated data system. However, there are still many challenges in

data sharing and reporting. In 2024, only 42 of 193 UN member

states reported OA observations to the IOC-UNESCO in support

of SDG 14.3. The SOCAT community also highlighted a decline

in surface pCO2 observations over recent years that is resulting in

enhanced uncertainties when these data are used for calculating

the global carbon budget (Dong et al., 2024).

HOW GOAL 1 SUPPORTS mCDR RESEARCH

Strategies for mCDR rely on a thorough understanding of the cur-

rent state of the ocean’s carbonate chemistry. The data generated by

the GOA-ON community, alongside other important, connected

observing networks and efforts, provide background information

on the state and dynamics of the carbon system that is essential

for identifying whether and where mCDR technologies would be

most effective, whether there is a meaningful perturbation from

the baseline condition, and what risks might arise from anthro-

pogenic alteration of local chemistry. Mapping of OA monitoring

activities against mCDR efforts already provides some insight into

what observational capacity may be available to support mCDR

(Figure 4a cf. 4b). Understanding where OA is proceeding most

rapidly, or what areas are at higher risk from OA, can also inform

where mCDR could be deployed, especially if co-benefits or the

ability to mitigate against the impacts of OA have been identified.

Monitoring carbonate chemistry before, during, and after

mCDR interventions is critical to assessing their efficacy and

to minimizing unintentional harm to marine ecosystems.

Availability of observation technology and resulting data will

be fundamental for assessing how much carbon can be feasibly

extracted without disturbing the natural balance of ocean chem-

istry and for ensuring that these interventions remain safe and

effective. In the mCDR community, this is referred to as moni-

toring, reporting, and verification (MRV). There is also a clear

requirement to standardize and report MRV measurements

using agreed upon methodologies and best practices (Boyd et al.,

2023; Oschlies et al., 2023). Further work is required to integrate

observational data with the OA and carbon communities’ data

for full data equity.

Only limited numbers of carbon system sensors are commer-

cially available with both the precision and accuracy needed to

detect an mCDR perturbation against the large background

ocean variability. The carbon community maintains a directory

of these systems (IOCCP hardware directory); however, there is

an ongoing need to continue to develop, maintain, and distrib-

ute low-cost, high-accuracy sensors and autonomous platforms

to increase observational capacity for monitoring mCDR (Pardis

et al., 2022; Li et al., 2023). The GOA-ON community’s experience

in building cost-effective, fit-for-purpose observing platforms is

ideally matched toward understanding how global climate change

measurements and monitoring for MRV can dovetail effectively.

The combination of both large- and small-scale monitoring

that is essential for understanding the overall impact of mCDR

will require enhancement of the existing ocean carbon observ-

ing infrastructure at both global and regional scales (Figure 4).

While it may be opportune to use well-established climate time

series as measurement baselines for small-scale mCDR projects in

some regions, limiting the amount of direct perturbation against

these baseline network stations will also be necessary to main-

tain the integrity of the globally important climate time-series

observing assets.

GOA-ON GOAL 2: IMPROVE UNDERSTANDING OF

ECOSYSTEM RESPONSES TO OCEAN ACIDIFICATION

The second goal of GOA-ON is to understand how marine eco-

systems, ranging from microscopic plankton to large coral reefs,

respond to OA. Members of GOA-ON have been studying the bio-

logical impacts of acidified conditions on various key species and

ecosystems in the laboratory, within mesocosms, and in the field,

using a wide range of techniques and skills. There are also efforts

to standardize protocols for laboratory experiments (Riebesell

et al., 2011) and for observing and monitoring impacts in the field

(Widdicombe et al., 2023; Currie et al., 2024).

GOAL 2 LESSONS LEARNED RELEVANT TO mCDR AND

CURRENT STATUS OF BIOLOGICAL UNDERSTANDING

Initial concern about the impact of OA was primarily related to

the reduction in calcium carbonate saturation state and the impact

this would have on calcium carbonate-forming (or calcifying)

organisms. Early laboratory and field studies demonstrated that

increased CO2 could lead to a 10%–50% reduction in calcification

rates of pteropods, oyster larvae, reef-building corals, and coralline

algae (e.g., Kleypas et al., 2005; Doney et al., 2009). However, fur-

ther laboratory work showed that many organisms could still calcify

but often with some energetic trade-offs (Wood et al., 2008). Since

this realization, many non-calcifying organisms have also been

shown to respond to OA, including phytoplankton (e.g., Hutchins

et al., 2009; Dutkiewicz et al., 2015), zooplankton (e.g., Keil et al.,

2021; Thor et al., 2022), benthos (e.g., Birchenough et al., 2015;

Bednaršek et al., 2021), and fish (e.g., Heuer and Grosell, 2014;

Sundin, 2023). OA has been shown to impact physiology, growth,