The Pacific Community

Spillover is a term commonly applied to the dispersal of fish and/or larvae from inside a closed area to areas open to fishing. The presence of spillover is often quantified by measuring gradients in attributes such as abundance or catch rates near the boundaries of closed areas or by measuring higher abundance inside closed areas compared to outside. It is commonly assumed that such gradients or ratios indicate that the closed area has benefitted the fishery and the total abundance of fish. We explore this assumption using a spatially explicit model of closed areas with different intensities of fishing and fish movement, and we find that such gradients will be expected any time there is higher abundance inside the closed area. However, such gradients do not necessarily indicate a benefit to the fishery either in terms of total catch or catch rate, and unless pre-closure fishing was intense, total abundance is not expected to rise significantly. We examine case studies that argue that spillover exists and leads to fishery benefits. We then evaluate the evidence for net benefits in these case studies and find those with evidence of net benefits all come from places where fishing pressure was intense. While most analysis come from quite small coastal closed areas, two studies of very large open-ocean closed areas are discussed, and we find that both suggest little overall impact on the tuna populations that support the main commercial fisheries affected by the closures in question.

By March 2020 coronavirus disease 2019 (COVID-19) was anticipated to present a major challenge to the work undertaken by scientists. This pandemic could be considered just one of the shocks that human society has had and will be likely to confront again in the future. As strategic thinking about the future can assist performance and planning of scientific research in the face of change, the pandemic presented an opportunity to evaluate the performance of marine researchers in prediction of future outcomes. In March 2020, two groups of researchers predicted outcomes for the Australian marine research sector, and then evaluated these predictions after 18 months. The self-assessed coping ability of a group experienced in ‘futures studies’ was not higher than the less-experienced group, suggesting that scientists in general may be well placed to cope with shocks. A range of changes to scientific endeavours (e.g., travel, fieldwork) and to marine sectors (e.g., fisheries, biodiversity) were predicted over the first 12–18 months of COVID-19 disruption. The predicted direction of change was generally correct (56%) or neutral (25%) for predictions related to the scientific endeavour, and correct (73%) or mixed (9%) for predictions related to sectors that are the focus of marine research. The success of this foresighting experiment suggests that the collective wisdom of scientists can be used by their organisations to consider the impact of shocks and disruptions and to better prepare for and cope with shocks. Graphical abstract Word cloud analysis of free text responses to questions about expected impact of COVID-19 on the activities associated with marine science

Fish growth underpins individual fitness and population-level metrics, with fluctuations linked to environmental variability. Growth chronologies derived from otolith increment analysis are a powerful proxy to understand population responses to environmental change and productivity. Yet, long-term patterns of growth and their environmental drivers are better understood for shallow-water species compared to deep-water inhabitants. Additionally, focus is largely on adults, disregarding the potential influence of juvenile growth which is critical to size- and age-at-maturity. Here, we investigate the long-term growth patterns of two commercially important snapper species separated by depth in northwestern Australia’s coastal shelf waters, the shallow-water Lutjanus sebae (70 year chronology, 1950–2020) and the deep-water Etelis boweni (41 year chronology, 1973–2013). Annually-resolved otolith growth chronologies revealed distinct environmental sensitivities within (juveniles vs adults) and among (shallow- vs deep-water habitats) species. Within species, juveniles and adults responded differently to shared environmental stimuli, highlighting the importance of understanding the impacts of environmental effects and sensitivities for different life-history stages. Across species, L. sebae exhibited highly variable growth tied to local climate signals such as sea surface temperature and rainfall, while E. boweni displayed more stable growth patterns that only responded to interannual and decadal shifts in the environment (e.g. Pacific Decadal Oscillation). Our results highlight potential vulnerabilities of shallow-water species to future environmental perturbations compared to species residing at depth, as they are likely to encounter more extreme climate variability under future oceanic conditions. This study contributes valuable insights into understanding and managing the impacts of future environmental variability on fisheries sustainability, emphasising the need for continued research across species and habitats.

Objective Statements such as the Bridgetown Declaration ¹ serve as a wake-up call for action to address the significant mental health needs in small island developing states. Overarching frameworks and action plans have been developed to support nations to promote mental health and build resilience for their populations in the region, and while these frameworks and action plans provide direction, translating them into grassroots change can be a challenge. At the Creating Futures 23 conference, delegates from the Oceania region were invited to participate in a plenary workshop entitled Framing the Future. Three questions were posed for workshop participants to respond to in relation to their perceived priorities, opportunities and innovations to support mental health in their local communities. This paper provides a summary of the workshop participants’ responses. Conclusion Community-led innovations, with programs tailored for small island communities, were seen as grassroots solutions in the Oceania region. Engagement with small island communities by policy makers and leaders was considered essential for effective, sustainable and community-led mental health initiatives to realise the objectives of high-level, overarching frameworks and action plans.

This paper presents the design and development of a coastal fisheries monitoring system that harnesses artificial intelligence technologies. Application of the system across the Pacific region promises to revolutionize coastal fisheries management. The program is built on a centralized, cloud-based monitoring system to automate data extraction and analysis processes. The system leverages YoloV4, OpenCV, and ResNet101 to extract information from images of fish and invertebrates collected as part of in-country monitoring programs overseen by national fisheries authorities. As of December 2023, the system has facilitated automated identification of over six hundred nearshore finfish species, and automated length and weight measurements of more than 80,000 specimens across the Pacific. The system integrates other key fisheries monitoring data such as catch rates, fishing locations and habitats, volumes, pricing, and market characteristics. The collection of these metrics supports much needed rapid fishery assessments. The system’s co-development with national fisheries authorities and the geographic extent of its application enables capacity development and broader local inclusion of fishing communities in fisheries management. In doing so, the system empowers fishers to work with fisheries authorities to enable data-informed decision-making for more effective adaptive fisheries management. The system overcomes historically entrenched technical and financial barriers in fisheries management in many Pacific island communities.

Obtaining reliable estimates of the effective number of breeders (Nb) and generational effective population size (Ne) for fishery‐important species is challenging because they are often iteroparous and highly abundant, which can lead to bias and imprecision. However, recent advances in understanding of these parameters, as well as the development of bias correction methods, have improved the capacity to generate reliable estimates. We utilized samples of both single‐cohort young of the year and mixed‐age adults from two geographically and genetically isolated stocks of the Australasian snapper (Chrysophrys auratus) to investigate the feasibility of generating reliable Nb and Ne estimates for a fishery species. Snapper is an abundant, iteroparous broadcast spawning teleost that is heavily exploited by recreational and commercial fisheries. Employing neutral genome‐wide SNPs and the linkage‐disequilibrium method, we determined that the most reliable Nb and Ne estimates could be derived by genotyping at least 200 individuals from a single cohort. Although our estimates made from the mixed‐age adult samples were generally lower and less precise than those based on a single cohort, they still proved useful for understanding relative differences in genetic effective size between stocks. The correction formulas applied to adjust for biases due to physical linkage of loci and age structure resulted in substantial upward modifications of our estimates, demonstrating the importance of applying these bias corrections. Our findings provide important guidelines for estimating Nb and Ne for iteroparous species with large populations. This work also highlights the utility of samples originally collected for stock structure and stock assessment work for investigating genetic effective size in fishery‐important species.

Oceanic eddies are recognized as pivotal components in marine ecosystems, believed to concentrate a wide range of marine life spanning from phytoplankton to top predators. Previous studies have posited that marine predators are drawn to these eddies due to an aggregation of their forage fauna. In this study, we examine the response of forage fauna, detected by shipboard acoustics, across a broad sample of a thousand eddies across the world’s oceans. While our findings show an impact of eddies on surface temperatures and phytoplankton in most cases, they reveal that only a minority (13%) exhibit significant effects on forage fauna, with only 6% demonstrating an oasis effect. We also show that an oasis effect can occur both in anticyclonic and cyclonic eddies, and that the few high-impact eddies are marked by high eddy amplitude and strong water-mass-trapping. Our study underscores the nuanced and complex nature of the aggregating role of oceanic eddies, highlighting the need for further research to elucidate how these structures attract marine predators.

This study was the first to identify and quantify microplastics contamination in edible oysters and their environment in the Fiji Islands and was conducted at the only mangrove oyster farm located at Vutia, Laucala Bay. Results showed that farmed oysters contained no microplastics, while wild oysters averaged 1.78 ± 1.04 microplastics/100 g wet weight. No microplastics were detected in sediments, although average microplastics in the water was 0.803 ± 0.2 microplastics/L. The predominant microplastics type was fibers (73%), while the most common size was in the class range of 0.5–< 1.6 mm. The most common colors of microplastics were black (42%) and white (26%), while nylon (30%) and latex (25%) were the most common polymer types. The current results are expected to assist in the development of coastal aquaculture, provide food safety standards, and baseline data for future Pacific mariculture research, particularly in Fiji.

A value chain analysis (VCA) is a cost-effective tool to guide targeted value chain development interventions to address social wellbeing and environmental performance. Examining value chains through a gender lens can help design and implement interventions that enhance opportunities for women in the fisheries and address gender inequalities in the sector. We conducted a VCA in 2015 of the wild-caught mud crab (Scylla serrata) fishery in Bua Province, Fiji. We found five main players involved in the selling of mud crabs – fishers, traders, retail shops, restaurants and exporters. The value chain was dominated by Indigenous (iTaukei) women fishers (88.1% of fishers) and characterised by low technological input, targeted largely for domestic markets or consumption, and with limited value-adding activities. Although most women harvested mud crabs on a part-time basis, it was an important source of income for most with 30% relying on it as their main livelihood. Despite being a lucrative commodity, there are several bottlenecks in the fishery – the relative informality of relationships amongst players in the value chain, the independent livelihood-driven harvest behaviours of fishers, and opportunistic sale of products. As a result, the fishery did not meet the demands of the domestic market. Our study concluded the gendered-skewness in the fishery increases the vulnerability of the chain to declines in economic productivity because of its reliance on irregular suppliers, and gender-based constraints. However, the low frequency and intensity of harvesting and use of low technological harvesting methods meant the fishery was not over-exploited and likely sustainable.

Purse‐seine fishers using drifting fish aggregating devices (dFADs), mainly built with bamboo, plastic buoys, and plastic netting, to aggregate and catch tropical tuna, deploy 46,000–65,000 dFADs per year in the Pacific Ocean. Some of the major concerns associated with this widespread fishing device are potential entanglement of sea turtles and other marine fauna in dFAD netting; marine debris and pollution; and potential ecological damage via stranding on coral reefs, beaches, and other essential habitats for marine fauna. To assess and quantify the potential connectivity (number of dFADs deployed in an area and arriving in another area) between dFAD deployment areas and important oceanic or coastal habitat of critically endangered leatherback (Dermochelys coriacea) and hawksbill (Eretmochelys imbricata) sea turtles in the Pacific Ocean, we conducted passive‐drift Lagrangian experiments with simulated dFAD drift profiles and compared them with known important sea turtle areas. Up to 60% of dFADs from equatorial areas were arriving in essential sea turtle habitats. Connectivity was less when only areas where dFADs are currently deployed were used. Our simulations identified potential regions of dFAD interactions with migration and feeding habitats of the east Pacific leatherback turtle in the tropical southeastern Pacific Ocean; coastal habitats of leatherback and hawksbill in the western Pacific (e.g., archipelagic zones of Indonesia, Papua New Guinea, and Solomon Islands); and foraging habitat of leatherback in a large equatorial area south of Hawaii. Additional research is needed to estimate entanglements of sea turtles with dFADs at sea and to quantify the likely changes in connectivity and distribution of dFADs under new management measures, such as use of alternative nonentangling dFAD designs that biodegrade, or changes in deployment strategies, such as shifting locations.

Research on food system framework development has increased substantially in recent years to better understand how we can best transform food systems. However, these frameworks generally take a one-size-fits-all approach, with food system indicators lacking relevance in many countries and territories. This research, centred on the Solomon Islands as a case study, employed a participatory approach involving stakeholders to identify context-specific indicators across three food systems pathways. These pathways, reflecting context-specific goals and a collective vision, encompassed strengthening and connecting rural food systems, enhancing the national policy environment, and advocating for food environments supporting healthy food accessibility, affordability, and convenience. The research identified a range of context-specific indicators and evaluated their alignment with existing data sources. Results underscored the need for data collection and analysis efforts to inform evidence-based decision-making. The study also emphasised the importance of engaging diverse stakeholders to ensure a comprehensive and representative set of indicators, aligning with regional and global efforts to advance food system resilience and sustainability. This research lays the foundation for future endeavours to enhance food system monitoring and assessment, acknowledging nuances and complexities specific to the Solomon Islands and similar contexts.

Problem Coronavirus disease (COVID-19) reached Tuvalu’s shores in November 2022, making Tuvalu one of the last countries in the world to experience community transmission of the disease. With minimal capacity to deliver critical care and a small health workforce that had been further depleted by COVID-19 infection, response priorities rapidly shifted to the outer islands. Context The outer islands are accessible only by boat, with travel taking from 6 to 24 hours. The return of high school students to their home islands for the Christmas holidays had the potential to place further pressure on the islands’ medical facilities. Action A multiorganizational collaboration between the Australian and Fijian governments, the Pacific Community, the Tuvalu Ministry of Social Welfare and Gender Affairs (MoHSWGA) and the World Health Organization facilitated the deployment of two teams to the outer islands to provide support. Outcome The team worked with public health and clinical staff to provide technical support for clinical management, infection prevention and control, laboratory, risk communication, community engagement and logistics. Discussion The outer islands’ response to the pandemic significantly benefited the island communities, the MoHSWGA and the team members who deployed. The key lessons identified relate to the need to strengthen the health workforce and supply chain.

Background Leptospirosis is a neglected zoonosis which remains poorly known despite its epidemic potential, especially in tropical islands where outdoor lifestyle, vulnerability to invasive reservoir species and hot and rainy climate constitute higher risks for infections. Burden remains poorly documented while outbreaks can easily overflow health systems of these isolated and poorly populated areas. Identification of generic patterns driving leptospirosis dynamics across tropical islands would help understand its epidemiology for better preparedness of communities. In this study, we aim to model leptospirosis seasonality and outbreaks in tropical islands based on precipitation and temperature indicators. Methodology/Principal findings We adjusted machine learning models on leptospirosis surveillance data from seven tropical islands (Guadeloupe, Reunion Island, Fiji, Futuna, New Caledonia, and Tahiti) to investigate 1) the effect of climate on the disease’s seasonal dynamic, i.e., the centered seasonal profile and 2) inter-annual anomalies, i.e., the incidence deviations from the seasonal profile. The model was then used to estimate seasonal dynamics of leptospirosis in Vanuatu and Puerto Rico where disease incidence data were not available. A robust model, validated across different islands with leave-island-out cross-validation and based on current and 2-month lagged precipitation and current and 1-month lagged temperature, can be constructed to estimate the seasonal dynamic of leptospirosis. In opposition, climate determinants and their importance in estimating inter-annual anomalies highly differed across islands. Conclusions/Significance Climate appears as a strong determinant of leptospirosis seasonality in tropical islands regardless of the diversity of the considered environments and the different lifestyles across the islands. However, predictive and expandable abilities from climate indicators weaken when estimating inter-annual outbreaks and emphasize the importance of these local characteristics in the occurrence of outbreaks.

Extended reality (XR) devices, including virtual and augmented reality head-mounted displays (HMDs), are increasingly utilised within healthcare to provide clinical interventions and education. Currently, XR devices are utilised to assist in reducing pain and improving psychological outcomes for immunocompromised patients in intensive care units, palliative care environments and surgical theatres. However, there is a paucity of research on the risks of infection from such devices in healthcare settings. Identify existing literature providing insights into the infection control risk XR HMDs pose within healthcare facilities and the efficacy of current infection control and cleaning procedures. Three databases (PubMed, Embase and CINAHL) in addition to Google Scholar were systematically searched. A total of seven studies were identified for this review. Microorganisms, including pathogenic bacteria (e.g., Staphylococcus aureus and Pseudomonas aeruginosa), were found to be present on XR HMDs. Published cleaning and infection control protocols designed to disinfect XR HMDs and protect users were heterogeneous in nature. Current cleaning protocols displayed varying levels of efficacy with microbial load affected by multiple factors, including time in use, number of users and XR HMD design features. In healthcare settings, fitting XR HMDs harbouring microorganisms near biological and mucosal entry points presents an infection control risk. An urgent revision of the Spaulding classification is required to ensure flexibility that allows for these devices to be reclassified from ‘Non-critical’ to ‘Semi-Critical’ depending on the healthcare setting and patient population (surgery, immunocompromised, burns, etc.). This review identified evidence supporting the presence of microorganisms on XR HMDs. Due to the potential for HMDs to contact mucosal entry points, devices must be re-considered within the Spaulding classification as ‘Semi-critical’. The existence of microbial contaminated XR HMDs in high-risk medical settings such as operating wards, intensive care units, emergency departments, labour and delivery wards and clinical areas with immunosuppressed patients requires urgent attention. Public health authorities have a duty of care to develop revised guidelines or new recommendations to ensure efficient sanitation of such devices.

Spatial models enable understanding potential redistribution of marine resources associated with ecosystem drivers and climate change. Stock assessment platforms can incorporate spatial processes, but have not been widely implemented or simulation tested. To address this research gap, an international simulation experiment was organized. The study design was blinded to replicate uncertainty similar to a real‐world stock assessment process, and a data‐conditioned, high‐resolution operating model (OM) was used to emulate the spatial dynamics and data for Indian Ocean yellowfin tuna ( Thunnus albacares ). Six analyst groups developed both single‐region and spatial stock assessment models using an assessment platform of their choice, and then applied each model to the simulated data. Results indicated that across all spatial structures and platforms, assessments were able to adequately recreate the population trends from the OM. Additionally, spatial models were able to estimate regional population trends that generally reflected the true dynamics from the OM, particularly for the regions with higher biomass and fishing pressure. However, a consistent population biomass scaling pattern emerged, where spatial models estimated higher population scale than single‐region models within a given assessment platform. Balancing parsimony and complexity trade‐offs were difficult, but adequate complexity in spatial parametrizations (e.g., allowing time‐ and age‐variation in movement and appropriate tag mixing periods) was critical to model performance. We recommend expanded use of high‐resolution OMs and blinded studies, given their ability to portray realistic performance of assessment models. Moreover, increased support for international simulation experiments is warranted to facilitate dissemination of methodology across organizations.

ABSTRACT: Humans are exposed to toxic methylmercury mainly by consuming marine fish. While reducing mercury emissions and releases aims to protect human health, it is unclear how this affects methylmercury concentrations in seawater and marine biota. We compiled existing and newly acquired mercury concentrations in tropical tunas from the global ocean to explore multidecadal mercury variability between 1971 and 2022. We show the strong inter-annual variability of tuna mercury concentrations at the global scale, after correcting for bioaccumulation effects. We found increasing mercury concentrations in skipjack in the late 1990s in the northwestern Pacific, likely resulting from concomitant increasing Asian mercury emissions. Elsewhere, stable long-term trends of tuna mercury concentrations contrast with an overall decline in global anthropogenic mercury emissions and deposition since the 1970s. Modeling suggests that this limited response observed in tunas likely reflects the inertia of surface ocean mercury with respect to declining emissions, as it is supplied by legacy mercury that accumulated in the subsurface ocean over centuries. To achieve measurable declines in mercury concentrations in highly consumed pelagic fish in the near future, aggressive emission reductions and long-term and continuous mercury monitoring in marine biota are needed.

Ensuring healthy and sustainable food systems in increasing social, economic, and ecological change is a key global priority to protect human and environmental health. Seafood is an essential component of these food systems and a critical source of nutrients, especially in coastal communities. However, despite rapid transformations in aquatic food systems, and our urgent need to understand them, there is a dearth of data connecting harvested food production to actualized food consumption. Many analyses suggest institutional, legal, or technological innovations to improve food systems, but few have analyzed the pathways through which people already gain access to nutritious food. Here, using a random forest model and cluster analysis of a nationally representative data set from Kiribati, we operationalize access theory to trace the flows of consumptive benefit in a fisheries-based food system. We demonstrate that the market access mechanism is the key mechanism mediating seafood access in Kiribati, but importantly, the highest seafood consumption households showed lower market access, pointing to the importance of non-market acquisition (e.g., home production and gifting). We reveal six distinct household strategies that employ different sets of access mechanisms to ensure high levels of local seafood consumption in different contexts. We demonstrate the impacts of these strategies on the composition of household seafoods consumed, stressing the need to support these existing successful strategies. Finally, we point to key policy and management insights (e.g., improved infrastructure, shifts in species management) that may be more effective in reinforcing these existing pathways than commonly proposed food system interventions.

For Pacific Island people, coastal fisheries are fundamental for supporting livelihoods, nutrition and health, cultures, and economies. However, only in the last 30 years has the region’s fisheries policy come to recognize the significant contributions of coastal fisheries and the need for national management strategies. This chapter tracks the evolving regional policy on coastal fisheries, including the challenges and opportunities for prospective regional and national policy formation and implementation. Regional policy first recognized the importance of management across coastal waters in 2003; since then, this recognition has increased through a series of directives and strategic frameworks. The need to accelerate the national implementation of coastal fisheries management has led fisheries agency staff and other science and civil society stakeholders to collectively develop, under the auspices of the Pacific Community (SPC), the “Pacific Framework for Action on Scaling up Community-based Fisheries Management: 2021–2025.” Regional policies are specifically targeted and prioritized for national needs and provide the most effective means of support delivery. The SSF Guidelines are supplementary, particularly in the areas of human rights, and their further integration through joint delivery at the national level will be important. Over 600 community-based fisheries management sites have been documented across the Pacific Islands, which in some countries includes most fishing communities. These sites represent almost the entirety of coastal marine protected areas, which are significant for achieving international conservation targets. However, in highly populated countries, substantial community coverage remains unlikely, suggesting that other aspects of the enabling environment need to be addressed. More crucially, implementation is challenged by limitations to national staffing and recurrent budgets. With increasing philanthropic interest in funding locally governed marine and coastal areas, it will be crucial that these efforts build on the substantial progress made and are guided by regional and national public policy. A critical consideration is ensuring substantially increased management budgets and administrative capacity of fisheries agencies.

Coastal fisheries are the food basket of Pacific Islanders, and fishing is deeply rooted in Pacific Islands’ cultures and traditions. In Tonga, during the past century, marine resource management has been the sole responsibility of the government under the law. Although management measures aim to ensure the sustainability of small-scale fisheries, compliance is often a challenge. In 2002 and 2009, Tonga passed new fishery legislation that reformed access to marine resources for local fishers (particularly in lagoons and reef areas) with the introduction of its own community-based fishery management approach, known as the Special Management Area (SMA) program. The SMA program and supporting legislation allow coastal communities and local fishers, with assistance from the Ministry of Fisheries, to regulate adjacent marine areas through local fishery management plans that grant preferential access and assign stewardship duties to community members. Tonga has made a commitment to following the Voluntary Guidelines for Securing Sustainable Small-Scale Fisheries in the Context of Food Security and Poverty Eradication (SSF Guidelines), with the SMA program representing an important step forward. This chapter explores the main venues and opportunities for Tonga to implement the SSF Guidelines while completing the SMA scaling-up process, in line with recent policy commitments made at a Pacific regional level, (In 2021, the members of the Pacific Community (SPC) adopted the Pacific Framework for Action on Scaling up Community-based Fisheries Management: 2021–2025.) to ultimately provide sustainable access for small-scale fishers to marine resources and markets (SDG 14b).