The Southern Ocean is central to global heat and carbon cycling, connecting all the major ocean basins and regulating Earth’s climate system, and hence providing ecosystem services of global significance. However, its ecosystems are increasingly vulnerable to climate change and localized human-induced pressures, such as (biological) resource extraction, pollution, ship traffic, and tourism. Effective conservation and management require systematic and reliable monitoring frameworks. The Essential Variables concept offers a robust approach to integrate fragmented data, to standardize data collection, and to generate policy-relevant data products enabling informed responses to rapid environmental change. This paper synthesizes the key outcomes of a workshop held in Hobart, Australia, alongside the Southern Ocean Observing System Symposium, in 2023. To advance the adoption, development, and operationalization of Essential Variables tailored to the Southern Ocean, researchers with diverse expertise came together to assess current data gaps in ocean observations and to establish monitoring priorities for marine ecosystems. The workshop provided a dedicated forum to identify key Southern Ocean-specific candidate variables, address methodological challenges, and design pathways for developing a systematic, open, and adaptable framework suited to the region’s unique ecological and environmental conditions. In this paper, we propose Essential Biodiversity Variables that are tailored to the Southern Ocean and are intended to monitor changes in sea ice, planktonic, benthic, and top predator systems. The adoption of Essential Biodiversity Variables specific to the Southern Ocean can enhance our capacity to track biodiversity trends, assess ecosystem health, and inform policy by transforming fragmented data into a cohesive, policy-relevant framework. However, the success of these efforts is only possible by securing sustained funding and enhancing interoperability and collaborations across research groups.This paper as well as the Hobart 2023 workshop are activities endorsed by the UN Decade of Ocean Science for Sustainable Development.
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RBINS Staff Publications 2026 OA
Abstract Reliable statements about variability and change in marine ecosystems and their underlying causes are needed to report on their status and to guide management. Here we use the Framework on Ocean Observing (FOO) to begin developing ecosystem Essential Ocean Variables (eEOVs) for the Southern Ocean Observing System (SOOS). An eEOV is a defined biological or ecological quantity, which is derived from field observations, and which contributes significantly to assessments of Southern Ocean ecosystems. Here, assessments are concerned with estimating status and trends in ecosystem properties, attribution of trends to causes, and predicting future trajectories. eEOVs should be feasible to collect at appropriate spatial and temporal scales and are useful to the extent that they contribute to direct estimation of trends and/or attribution, and/or development of ecological (statistical or simulation) models to support assessments. In this paper we outline the rationale, including establishing a set of criteria, for selecting eEOVs for the \SOOS\ and develop a list of candidate eEOVs for further evaluation. Other than habitat variables, nine types of eEOVs for Southern Ocean taxa are identified within three classes: state (magnitude, genetic/species, size spectrum), predator–prey (diet, foraging range), and autecology (phenology, reproductive rate, individual growth rate, detritus). Most candidates for the suite of Southern Ocean taxa relate to state or diet. Candidate autecological eEOVs have not been developed other than for marine mammals and birds. We consider some of the spatial and temporal issues that will influence the adoption and use of eEOVs in an observing system in the Southern Ocean, noting that existing operations and platforms potentially provide coverage of the four main sectors of the region — the East and West Pacific, Atlantic and Indian. Lastly, we discuss the importance of simulation modelling in helping with the design of the observing system in the long term. Regional boundary: south of 30°S.
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RBINS Staff Publications 2016
