Copernicus Ocean State Report, issue 6

Brasseur, Pierre

doi:10.1080/1755876x.2022.2095169

Cited by 18 publications

(1 citation statement)

References 724 publications

(743 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…See Sink et al (2019) for assessment details. (Le Traon et al, 2019;von Schuckmann et al, 2022). Key challenges and barriers to data collation, curation and integration are shown in Table 2 and include capacity, data and analytical challenges.…”

Section: Limitations Challenges Enabling Factors and Future Opportuni...mentioning

confidence: 99%

Iterative mapping of marine ecosystems for spatial status assessment, prioritization, and decision support

et al. 2023

View full text Add to dashboard Cite

South Africa has taken an iterative approach to marine ecosystem mapping over 18 years that has provided a valuable foundation for ecosystem assessment, planning and decision-making, supporting improved ecosystem-based management and protection. Iterative progress has been made in overcoming challenges faced by developing countries, especially in the inaccessible marine realm. Our aim is to report on the approach to produce and improve a national marine ecosystem map to guide other countries facing similar challenges, and to illustrate the impact of even the simplest ecosystem map. South Africa has produced four map versions, from a rudimentary map of 34 biozones informed by bathymetry data, to the latest version comprising 163 ecosystem types informed by 83 environmental and biodiversity datasets that aligns with the IUCN Global Ecosystem Typology. Data were unlocked through academic and industry collaborations; multi-disciplinary, multi-realm and multi-generational networks of practitioners; and targeted research to address key gaps. To advance toward a more transparent, reproducible and data-driven approach, limitations, barriers and opportunities for improvement were identified. Challenges included limited human and data infrastructure capacity to collate, curate and assimilate many data sources, covering a variety of ecosystem components, methods and scales. Five key lessons that are of relevance for others working to advance ecosystem classification and mapping, were distilled. These include (1) the benefits of iterative improvement; (2) the value of fostering relationships among a co-ordinated network of practitioners including early-career researchers; (3) strategically prioritizing and leveraging resources to build and curate key foundational biodiversity datasets and understand drivers of biodiversity pattern; (4) the need for developing, transferring and applying capacity and tools that enhance data quality, analytical workflows and outputs; and (5) the application of new technology and emerging statistical tools to improve the classification and prediction of biodiversity pattern. South Africa’s map of marine ecosystem types has been successfully applied in spatial biodiversity assessment, prioritization to support protected area expansion and marine spatial planning. These successes demonstrate the value of a co-ordinated network of practitioners who continually build an evidence base and iteratively improve ecosystem mapping while simultaneously growing ecological knowledge and informing changing priorities and policy.

show abstract

Section: Limitations Challenges Enabling Factors and Future Opportuni...mentioning

confidence: 99%

Iterative mapping of marine ecosystems for spatial status assessment, prioritization, and decision support

et al. 2023

View full text Add to dashboard Cite

show abstract

Coral bleaching at Low Isles during the 1928–1929 Great Barrier Reef Expedition

et al. 2022

View full text Add to dashboard Cite

Validation of key Arctic energy and water budget components in CMIP6

Winkelbauer,

Mayer,

Haimberger

2024

Clim Dyn

View full text Add to dashboard Cite

We investigate historical simulations of relevant components of the Arctic energy and water budgets for 39 Coupled Model Intercomparison Project Phase 6 (CMIP6) models and validate them against observation-based estimates. We look at simulated seasonal cycles, long-term averages and trends of lateral transports and storage rates in atmosphere and ocean as well as vertical fluxes at top-of-atmosphere and the surface. We find large inter-model spreads and systematic biases in the representation of annual cycles and long-term averages. Surface freshwater fluxes associated with precipitation and evaporation as well as runoff from Arctic lands tend to be overestimated by most CMIP6 models and about two thirds of the analysed models feature an early timing bias of one month in the runoff cycle phase, related to an early snow melt bias and the lack of realistic river routing schemes. Further, large biases are found for oceanic volume transports, partly because data required for accurate oceanic transport computations has not been archived. Biases are also present in the simulated energy budget components. The net vertical energy flux out of the ocean at the Arctic surface as well as poleward oceanic heat transports are systematically underestimated by all models. We find strong anti-correlation between average oceanic heat transports and mean sea ice cover, atmospheric heat transports, and also the long-term ocean warming rate. The latter strongly suggests that accurate depiction of the mean state is a prerequisite for realistic projections of future warming of the Arctic. Our diagnostics also provide useful process-based metrics for model selection to constrain projections.

show abstract

Copernicus Ocean State Report, issue 6

Cited by 18 publications

References 724 publications

Iterative mapping of marine ecosystems for spatial status assessment, prioritization, and decision support

Iterative mapping of marine ecosystems for spatial status assessment, prioritization, and decision support

Coral bleaching at Low Isles during the 1928–1929 Great Barrier Reef Expedition

Validation of key Arctic energy and water budget components in CMIP6

Contact Info

Product

Resources

About