Ocean Health Research Articles

The implications of digital visual media for human–nature relationships

The implications of digital visual media for human–nature relationships

The cost of marine litter damage to the global marine economy: Insights from the Asia-Pacific into prevention and the cost of inaction

Marine litter is recognised as imposing a range of costs on marine economies and environments as we target UN Sustainable Development Goals (SDGs) to 2030. Prevention of these avoidable damage costs can restore economic benefits and ocean health. In the Asia-Pacific we estimate the annual damage cost from marine litter to the marine economy has risen eightfold since 2008 and in 2015 was US$10.8 billion (bn), translating to $18.3bn globally ($21.3bn in 2020). In 2020 the present value of global economic damage costs to 2030 and 2050 are $−197bn and $−434bn respectively and as high as $−229bn and $−731bn, if predicted increased plastic production eventuates. As avoidable costs, these projections are the unacceptable “cost of global inaction” in today's terms. Litter prevention by government, industries and the community is needed now, to reduce these predicted marine economic cost impacts to 2050 with environmental benefits.

Evidences and drivers of ocean deoxygenation off Peru over recent past decades

Deoxygenation is a major threat to the coastal ocean health as it impacts marine life and key biogeochemical cycles. Understanding its drivers is crucial in the thriving and highly exploited Peru upwelling system, where naturally low-oxygenated subsurface waters form the so-called oxygen minimum zone (OMZ), and a slight vertical shift in its upper limit may have a huge impact. Here we investigate the long-term deoxygenation trends in the upper part of the nearshore OMZ off Peru over the period 1970–2008. We use a unique set of dissolved oxygen in situ observations and several high-resolution regional dynamical-biogeochemical coupled model simulations. Both observation and model present a nearshore deoxygenation above 150 m depth, with a maximum trend of – 10 µmol kg−1 decade1, and a shoaling of the oxycline depth (− 6.4 m decade−1). Model sensitivity analysis shows that the modeled oxycline depth presents a non-significant (+ 0.9 m decade−1) trend when remote forcing is suppressed, while a significant oxycline shoaling (− 3 m decade−1) is obtained when the wind variability is suppressed. This indicates that the nearshore deoxygenation can be attributed to the slowdown of the near-equatorial eastward currents, which transport oxygen-rich waters towards the Peruvian shores. The large uncertainties in the estimation of this ventilation flux and the consequences for more recent and future deoxygenation trends are discussed.

Development of a rapid plasma decontamination system for decontamination and reuse of filtering facepiece respirators.

The COVID-19 pandemic has caused a high demand for filtering facepiece respirators (FFRs), which has brought global challenges in sustaining the supply chain for FFRs. Because respirators are basic personal protective equipment to protect frontline healthcare workers against COVID-19, the chronic, global shortage of N95/N99 masks is one of the most urgent threats to our collective ability to save lives from the coronavirus. The reuse of masks may need to be considered as a crisis capacity strategy to ensure continued availability even though most of the masks are considered one-time use. Moreover, environmentalists warn that single-use masks add to the glut of plastic pollution, threatening the health of oceans and marine life. In this study, we develop a method to decontaminate respirators to reuse filtering facepiece respirators. Samples of SARS-CoV-2 are applied to the 4 × 4 cm2 samples of FFP2 and FFP3 respirator materials. The filtration efficiency of plasma treated samples is measured using a planar particle image velocimetry technique with a neutrally charged polydisperse aerosol particle of NaCl. The measured viral decontamination and filtration efficiencies show that the developed plasma decontamination system can achieve a 4-log reduction for the coronavirus without reducing the filtration efficiency of masks after 5-min plasma exposure. The developed plasma decontamination system demonstrates the feasibility to tackle the acute shortages of FFRs in many countries and their environmental and economic burdens against discarding reusable masks.

Glutathione S-Transferases in Marine Copepods

The glutathione S-transferase (GST) is a complex family of phase II detoxification enzymes, known for their ability to catalyze the conjugation of the reduced form of glutathione (GSH) to a wide variety of endogenous and exogenous electrophilic compounds for detoxification purposes. In marine environments, copepods are constantly exposed to multiple exogenous stressors, thus their capability of detoxification is key for survival. Full identification of the GST family in copepods has been limited only to few species. As for insects, the GST family includes a wide range of genes that, based on their cellular localization, can be divided in three classes: cytosolic, microsomal, and mitochondrial. The role of GSTs might have class-specific features, thus understanding the nature of the GST family has become crucial. This paper covers information of the GST activity in marine copepods based on studies investigating gene expression, protein content, and enzymatic activity. Using published literature and mining new publicly available transcriptomes, we characterized the multiplicity of the GST family in copepods from different orders and families, highlighting the possible role of these genes as biomarker for ocean health status monitoring.

Temporal trends and interannual variation in plastic ingestion by Flesh-footed Shearwaters (Ardenna carneipes) using different sampling strategies

The world's oceans are under increasing pressure from anthropogenic activities, including significant and rapidly increasing inputs of plastic pollution. Seabirds have long been considered sentinels of ocean health, providing data on physical and chemical pollutants in their marine habitats. However, long-term data that can elucidate important patterns and changes in seabird exposure to marine pollutants are relatively limited but are urgently needed to identify and support effective policy measures to reduce plastic waste. Using up to 12 years of data, we examined the benefits and challenges of different approaches to monitoring plastic in seabirds, and the relationship between plastic and body size parameters. We found the mass and number of ingested plastics per bird varied by sample type, with lavage and road-kill birds containing less plastic (9.17–9.33 pieces/bird) than beach-washed or otherwise dead birds (27.62–32.22 pieces/bird). Beached birds therefore provide data for only a particular subset of the population, mostly individuals in poorer body condition, including those severely impacted by plastics. In addition, the mass and number of plastics in beached birds were more variable, therefore the sample sizes required to detect a change in plastic over time were significantly larger than for lavaged birds. The use of lavaged birds is rare in studies of plastic ingestion due to ethical and methodological implications, and we recommend future work on ingested plastics should focus on sampling this group to ensure data are more representative of a population's overall exposure to plastics.

Oceans and society: feedbacks between ocean and human health.

The concentration of human population along coastlines has far-reaching effects on ocean and societal health. The oceans provide benefits to humans such as food, coastal protection and improved mental well-being, but can also impact negatively via natural disasters. At the same time, humans influence ocean health, for example, via coastal development or through environmental stewardship. Given the strong feedbacks between ocean and human health there is a need to promote desirable interactions, while minimising undesirable interactions. To this end, we articulate two scenarios for 2030. First, Business-as-Usual, named ‘Command and (out of) Control’, focuses on the anticipated future based on our current trajectory. Second, a more sustainable scenario called ‘Living and Connecting’, emphasises the development of interactions between oceans and society consistent with achieving the Sustainable Development Goals. We describe a potential pathway to achieving the ‘Living and Connecting’ scenario, centred on improving marine citizenship, achieving a more equitable distribution of power among stakeholders, and more equitable access to resources and opportunities. The constituent actions of this pathway can be categorised into four groups: (i) improved approaches to science and health communication that account for society’s diverse values, beliefs and worldviews, (ii) a shift towards more trusted relationships among stakeholders to enable two-way knowledge exchange, (iii) economic incentives that encourage behavioural changes necessary for achieving desired sustainability outcomes, and (iv) stronger regulations that simultaneously focus on ocean and human health. We contend that these changes will provide improved outcomes for both oceans and society over the United Nations Decade of Ocean Science.Graphic abstract Supplementary InformationThe online version contains supplementary material available at 10.1007/s11160-021-09669-5.

The Nature and Scope of Illegal, Unreported, and Unregulated Fishing and Fisheries Crime in Cameroon: Implications for Maritime Security

ABSTRACT Illegal, unreported, and unregulated (IUU) fishing and fisheries crime undermine maritime security especially for vulnerable coastal nations in Africa. This is particularly problematic for Cameroon where millions of people directly depend on fisheries for their livelihoods. Drawing on primary and secondary data, this article reveals the extent of IUU fishing and fisheries crime practices, noting that their operational synergies are a threat to Cameroon’s blue economy development, marine safety, ocean health and human resilience, and by extension national security. Efforts toward combatting IUU fishing and fisheries crime must recognize their synergistic relationship and ensure cooperation with sub-national non-state actors.

New population estimate for an abundant marine indicator species, Rako or Buller’s Shearwater (Ardenna bulleri)

ABSTRACT Accurate and repeatable population estimates are key to establishing population trends and conservation status. Rako, or Buller’s Shearwater (Ardenna bulleri) is a seabird endemic to New Zealand that breeds only on the Poor Knights Islands, but forages throughout wider areas of the Pacific Ocean during the non-breeding season. The lack of threats on the breeding grounds and the wide foraging range of Buller’s Shearwaters makes them ideal sentinels of ocean health. Although they are commonly seen at sea and the population in the 1980s was thought to be around 2.5 million birds, other rapid land-based surveys suggested a much lower figure (~100,000 pairs on Aorangi), and no thorough population estimate has been undertaken to date. We calculated a population estimate for Buller’s Shearwater based on burrow counts and state of occupancy conducted at the Poor Knights during either the 2016–2017 or the 2017–2018 breeding seasons. We incorporated information on habitat availability and preference in population models. Our estimate of 78,645 (95% confidence interval 67,176–89,178) active burrows, broadly representing breeding pairs, is lower than some previously published assessments. This is a repeatable quantitative study of the Buller’s Shearwater breeding population, including breeding activity, and provides critical baseline data to determine population trends for this potentially important marine indicator species.

Pulling Back the Blue Curtain: A Pelagic Monitoring Program for the Blue Belt

Ocean health is fundamental to human prosperity. However, fisheries exploitation, industrialization and climate change imperil our oceans. Marine protected areas (MPAs) have been established in coastal habitats since the 1970s and the ongoing monitoring of these MPAs has shown their general ecological and economic value. Demonstrable benefits can include biodiversity conservation, fisheries enhancement and climate resilience. Since the 2000s, large scale MPAs (LSMPAs) are increasingly established, with new parks including extensive areas of pelagic habitat. Seminal was the British Indian Ocean Territory (BIOT) MPA created in 2010. In 2016, the United Kingdom Government established the Blue Belt Programme to provide long-term protection of the marine environment across the United Kingdom Overseas Territories and LSMPAs have now been established or designated in a number of these territories. However, empirical data for the Blue Belt LSMPAs are needed to test their effectiveness in conserving pelagic species and to allow managers to monitor and assess the LSMPAs based on the best available evidence. This Perspective presents current advances in video-based monitoring of pelagic wildlife and provides examples of key ecological insights gained from their use that are relevant to LSMPA planning and management. We present a case study from the BIOT MPA and finally generalize with respect to key learning’s that will support planning and monitoring of LSMPAs within the Blue Belt Programme.

Blue Gold: Advancing Blue Economy Governance in Africa

In Agenda 2063, the African Union focused on making the use of ocean resources a priority in the new frontier of its blue economy. However, most African countries are still lagging in taking the initial steps of identifying and prioritising blue economy sectors and understanding the risk to sea and ocean health. Many have not developed integrated blue economy strategies and road maps, and this delays the progress and vision for an African blue economy envisaged by Agenda 2063 and 2050 Africa’s Integrated Maritime Strategy. For Africa, however, the blue economy offers greater opportunity beyond the economy and the environment. It presents Africa with a unique opportunity to achieve its national objectives, to improve regional integration, and to exert influence in the global setting. In this review, we agree with Schot and Steinmueller (2018) that we need to develop new framings and begin to experiment with new policy practices to address social and environmental challenges. Furthermore, we maintain that existing theories and knowledge based on innovation studies in Africa may be significant for designing and implementing policies towards climate change mitigation, blue economy governance, and sustainability transitions. Finally, we conclude by highlighting how experimentation is the key feature of transformative innovation policy that Africa has to employ in its blue economy while emphasizing how Africa (and the Global South generally) are in a unique position to develop their own transformation models that are different from those of the Global North.

Ocean health in the Northeast United States from 2005 to 2017

Abstract People in the Northeast United States have a long history of benefitting from the ocean in many ways, exemplified by the region's important cod and lobster fisheries, coastal tourism and recent expansion of offshore energy. Over the past few decades, the region has become one of the fastest warming spots on the planet, has seen significant growth in coastal populations, and expansion of new sectors into the marine environment, resulting in ecosystem shifts and changes to the supply and distribution of these benefits. With these changes comes a need for measuring ocean health to understand how engagement with the ocean may be affected, and how regional management may need to adapt. To address this need, we tailored the Ocean Health Index framework to the U.S. Northeast region, scoring eight distinct goals for ocean health on a scale of 0 to 100 for 11 sub‐regions over 13 years (2005–2017). All goal scores were averaged resulting in an Ocean Health Index score of 83 for the Northeast in 2017. This score fluctuated by 1 point in either direction (82–84) in the previous 12 years. The lowest scoring goals in 2017 also exhibited the highest volatility since 2005, Food Provision (64) and Resource Access Opportunities (71). The region's highest goal scores came from Livelihoods & Economies (99) and Biodiversity (90) and remained stable during the study period. Clean Waters scores had a steady, significant downward trend since 2005, while Resource Access Opportunities and Aquaculture show the largest improvements. This synthesis of over 50 datasets to create annual aggregate scores provides the public, government and non‐government agencies with an easily digestible summary of how the region is faring in regards to ocean health. Perhaps even more importantly, this synthesis allows for the tracking of trends over time and the ability to quickly identify and prioritize low‐scoring components of ocean health that could benefit from dedicated resources for improvement. As managers plan for the future in a changing Northeast marine region, the ability to track annual changes in ocean health and its respective components is key to making decisions that benefit the entire social‐ecological system. A free Plain Language Summary can be found within the Supporting Information of this article.

Plankton classification with high-throughput submersible holographic microscopy and transfer learning

BackgroundPlankton are foundational to marine food webs and an important feature for characterizing ocean health. Recent developments in quantitative imaging devices provide in-flow high-throughput sampling from bulk volumes—opening new ecological challenges exploring microbial eukaryotic variation and diversity, alongside technical hurdles to automate classification from large datasets. However, a limited number of deployable imaging instruments have been coupled with the most prominent classification algorithms—effectively limiting the extraction of curated observations from field deployments. Holography offers relatively simple coherent microscopy designs with non-intrusive 3-D image information, and rapid frame rates that support data-driven plankton imaging tasks. Classification benchmarks across different domains have been set with transfer learning approaches, focused on repurposing pre-trained, state-of-the-art deep learning models as classifiers to learn new image features without protracted model training times. Combining the data production of holography, digital image processing, and computer vision could improve in-situ monitoring of plankton communities and contribute to sampling the diversity of microbial eukaryotes.ResultsHere we use a light and portable digital in-line holographic microscope (The HoloSea) with maximum optical resolution of 1.5 μm, intensity-based object detection through a volume, and four different pre-trained convolutional neural networks to classify > 3800 micro-mesoplankton (> 20 μm) images across 19 classes. The maximum classifier performance was quickly achieved for each convolutional neural network during training and reached F1-scores > 89%. Taking classification further, we show that off-the-shelf classifiers perform strongly across every decision threshold for ranking a majority of the plankton classes.ConclusionThese results show compelling baselines for classifying holographic plankton images, both rare and plentiful, including several dinoflagellate and diatom groups. These results also support a broader potential for deployable holographic microscopes to sample diverse microbial eukaryotic communities, and its use for high-throughput plankton monitoring.

Transferring Complex Scientific Knowledge to Useable Products for Society: The Role of the Global Integrated Ocean Assessment and Challenges in the Effective Delivery of Ocean Knowledge

The ocean provides essential services to human wellbeing through climate regulation, provision of food, energy and livelihoods, protection of communities and nurturing of social and cultural values. Yet despite the ocean’s key role for all life, it is failing as a result of unsustainable human practices. The first global integrated assessment of the marine environment, produced by the United Nations under The Regular Process for Global Reporting and Assessment of the State of the Marine Environment, including Socioeconomic Aspects (the World Ocean Assessment), identified an overall decline in ocean health. The second assessment, launched in April 2021, although recognising some bright spots and improvements, stresses ongoing decline in the ocean as a result of many unabated anthropogenic stressors on the ocean. This highlights that society, as a whole, does not fully recognise or value the importance of the ocean to their lives and impacts on the ocean caused by human activities. Further, recognition of the need for immediate and effective solutions for mitigating impacts and enabling ecosystem recovery, and the associated societal changes required is lacking. The United Nations 2030 Agenda for Sustainable Development and the United Nations Decade of Ocean Science for Sustainable Development 2021–2030 both recognize that sustainability is both a desired and essential pathway for ensuring the ocean can continue to provide the services society depends on. The World Ocean Assessment has an important role to play in increasing awareness of the ocean, the changes occurring in the ocean, the human activities causing those changes and the progress being made in reducing and mitigating the impacts of human activities on the marine environment. This paper outlines the knowledge brokering role that the Regular Process provides on ocean issues to all aspects of society from policy makers, ocean managers, ocean users to the public. It identifies the challenges faced by the Regular Process in successfully carrying out that role and lessons learned in achieving widespread uptake and recognition. Within the Decade of Ocean Science for Sustainable Development, solutions in the form of instructions or guidelines for the use of the assessment can be developed and implemented.

Cetaceans as sentinels for informing climate change policy in UK waters

Climate change is predicted to have profound consequences for marine ecosystems. Due to the growing political and social drive to address its impacts, monitoring and mitigating climate change is a priority in marine policy in the UK. Cetaceans have been proposed as informative sentinel species for monitoring ocean health. Here, strandings data from four UK cetacean species were assessed for their use as a tool to aid policy makers monitoring climate change in marine environments. Data on stranded cetaceans were collected from 1990 to 2018 and differences in the proportions of stranded cold water adapted and warm water adapted species assessed using Generalised Linear Models (GLM), with 6-year periods and four regions of the UK included as explanatory variables. This modelling approach showed an increase in the proportion of stranded warm water adapted species over time across the UK and that differences in proportion of strandings between cold water and warm water adapted species can be detected between regions and 6-year periods, chosen as metrics to coordinate with reporting cycles for policy assessment needs. As such, these results show the potential for utilising strandings data to identify changing oceanic trends at the appropriate spatial and temporal scales for policy reporting in the UK. However, development of these analyses with a more detailed examination of these data at a finer resolution, incorporating other data sources, such as distribution trends and dietary stable isotope data, may be required before it is applicable as an indicator for trends in changes in climate.

Hemispheric asymmetry in ocean change and the productivity of ecosystem sentinels.

Climate change and other human activities are causing profound effects on marine ecosystem productivity. We show that the breeding success of seabirds is tracking hemispheric differences in ocean warming and human impacts, with the strongest effects on fish-eating, surface-foraging species in the north. Hemispheric asymmetry suggests the need for ocean management at hemispheric scales. For the north, tactical, climate-based recovery plans for forage fish resources are needed to recover seabird breeding productivity. In the south, lower-magnitude change in seabird productivity presents opportunities for strategic management approaches such as large marine protected areas to sustain food webs and maintain predator productivity. Global monitoring of seabird productivity enables the detection of ecosystem change in remote regions and contributes to our understanding of marine climate impacts on ecosystems.

A guide to representing variability and uncertainty in biodiversity indicators.

Biodiversity indicators are used to inform decisions and measure progress toward global targets, such as the United Nations Sustainable Development Goals. Indicators aggregate and simplify complex information, so underlying information influencing its reliability and interpretation (e.g., variability in data and uncertainty in indicator values) can be lost. Communicating uncertainty is necessary to ensure robust decisions and limit misinterpretations of trends, yet variability and uncertainty are rarely quantified in biodiversity indicators. We developed a guide to representing uncertainty and variability in biodiversity indicators. We considered the key purposes of biodiversity indicators and commonly used methods for representing uncertainty (standard error, bootstrap resampling, and jackknife resampling) and variability (quantiles, standard deviation, median absolute deviation, and mean absolute deviation) with intervals. Using 3 high-profile biodiversity indicators (Red List Index, Living Planet Index, and Ocean Health Index), we tested the use, suitability, and interpretation of each interval method based on the formulation and data types underpinning the indicators. The methods revealed vastly different information; indicator formula and data distribution affected the suitability of each interval method. Because the data underpinning each indicator were not normally distributed, methods relying on normality or symmetrical spread were unsuitable. Quantiles, bootstrapping, and jackknifing provided useful information about the underlying variability and uncertainty. We built a decision tree to inform selection of the appropriate interval method to represent uncertainty or variation in biodiversity indicators, depending on data type and objectives. Our guide supports transparent and effective communication of biodiversity indicator trends to facilitate accurate interpretation by decision makers.

Path to Automating Ocean Health Monitoring

Marine ecosystems directly and indirectly impact human health, providing benefits such as essential food sources, coastal protection and biomedical compounds. Monitoring changes in marine species is important because impacts such as overfishing, ocean acidification and hypoxic zones can negatively affect both human and ocean health. The US west coast supports a diverse assemblage of deep-sea corals that provide habitats for fish and numerous other invertebrates. Currently, National Oceanic Atmospheric Administration (NOAA) scientists manually track the health of coral species using extractive methods. In this paper, we test the viability of using a machine learning algorithm Convolutional Neural Network (CNN) to automatically classify coral species, using field-collected coral images in collaboration with NOAA. We fine tune the hyperparameters of our model to surpass the human F-score. We also highlight a scalable opportunity to monitor ocean health automatically while preserving corals.

Diverse ocean noise classification using deep learning

The alarming rise in the ocean noises due to the ramping up of anthropogenic activities had adversely impacted the marine fauna and altered the soundscape of the oceans. In recent times, Deep learning has gained high significance in assessing this pervasive underwater noise data. Studying the underwater soundscape is crucial in conserving the ocean health and in achieving a “quiet ocean”. As an effort to it, in this paper, we present a deep neural network architecture, Convolutional Neural Network-based ocean noise classification cum recognition system capable of classifying vocalization of cetaceans, fishes, marine invertebrates, anthropogenic sounds, natural sounds, and the unidentified ocean sounds from passive acoustic ocean noise recordings. The challenge is to classify these noises amidst the highly non-stationary sound spectrum of short low grunts to long high peaked vocals, limited sensor receiving range, and the need for a large annotated training data. The proposed method can self-learn the features from the training audio data with no need for feature extraction proving better adaptability to complex audio acoustic signals. Experimental results prove that the proposed system is befitting for classifying ocean noises with 96.1% accuracy. Classification helps in distinguishing natural acoustic systems from artificial acoustic systems.

Charting a course for genetic diversity in the UN Decade of Ocean Science.

The health of the world's oceans is intrinsically linked to the biodiversity of the ecosystems they sustain. The importance of protecting and maintaining ocean biodiversity has been affirmed through the setting of the UN Sustainable Development Goal 14 to conserve and sustainably use the ocean for society's continuing needs. The decade beginning 2021–2030 has additionally been declared as the UN Decade of Ocean Science for Sustainable Development. This program aims to maximize the benefits of ocean science to the management, conservation, and sustainable development of the marine environment by facilitating communication and cooperation at the science–policy interface. A central principle of the program is the conservation of species and ecosystem components of biodiversity. However, a significant omission from the draft version of the Decade of Ocean Science Implementation Plan is the acknowledgment of the importance of monitoring and maintaining genetic biodiversity within species. In this paper, we emphasize the importance of genetic diversity to adaptive capacity, evolutionary potential, community function, and resilience within populations, as well as highlighting some of the major threats to genetic diversity in the marine environment from direct human impacts and the effects of global climate change. We then highlight the significance of ocean genetic diversity to a diverse range of socioeconomic factors in the marine environment, including marine industries, welfare and leisure pursuits, coastal communities, and wider society. Genetic biodiversity in the ocean, and its monitoring and maintenance, is then discussed with respect to its integral role in the successful realization of the 2030 vision for the Decade of Ocean Science. Finally, we suggest how ocean genetic diversity might be better integrated into biodiversity management practices through the continued interaction between environmental managers and scientists, as well as through key leverage points in industry requirements for Blue Capital financing and social responsibility.