Indirect Risks Research Articles

ESG risks to global platinum supply: A case study of Mogalakwena Mine, South Africa

Global demand for metals is expected to continue to grow significantly to 2050, partly driven by the need for climate change mitigation measures that require energy transition metals including platinum group metals (PGMs). The environmental, social and governance (ESG) risks of mining these metals are seldom acknowledged in energy transition scenarios and pose a risk to future metal supply. Multiple ESG drivers at different scales create direct and indirect pressures and risks to a specific mine site and their interactions across scales create complex system dynamics. Although mining companies identify ESG factors as their biggest risks (and opportunities), interdisciplinary mining research is in its infancy and ESG factors are often oversimplified or overlooked. While global studies are important for providing an overview of the industry, and highlighting trends and patterns, they cannot communicate the complexity found at the local scale. This paper describes ESG risks, opportunities, and impacts across nine dimensions (water, energy, biodiversity, waste, air quality, community, social vulnerability, land use, and governance) for Anglo American Platinum’s Mogalakwena PGM mine in South Africa. It provides insight into a developing country African context and an in-depth view of the complex ESG risks around PGM mining in South Africa. Given South Africa hosts 91% of global PGM resources, understanding and addressing these ESG risks is critical for ensuring long-term PGM supply and enabling a just energy transition.

A powerful helper of azoxystrobin degradation-the unique mechanism of UGT72E2 promoting environmental degradation of azoxystrobin.

In recent years, environmental pollutants such as pesticide residues have become one of the severe public problems that endanger the ecological environment and affect human health. The development of biotechnology to rapidly and efficiently degrade pesticides is essential to reduce their environmental risks. Azoxystrobin (AZ) is representative of the most widely used agricultural fungicide in the world. A large number of studies have shown that AZ has toxic effects on non-target organisms such as fish, algae, earthworms, etc., which may pose a potential threat to the environmental ecosystem. Therefore, it is particularly important to develop new AZ phytoremediation methods. Based on the constructed Arabidopsis UGT72E2 knockout (KO) and overexpression (OE) lines, this study found that overexpression of UGT72E2 in Arabidopsis can enhance resistance to exogenous AZ stress and maintain a relatively stable physiological state while enhancing the metabolic degradation of AZ. Correspondingly, knockout mutants showed the opposite results. The results showed that the AZ glycosylation and malonyl glycosylation products produced by UGT72E2 overexpression lines increased by 10%~20% compared with normal lines, and increased by 7%~47% compared with gene knockout plants, and exhibited lower phytotoxicity. In summary, our findings highlight the critical role of UGT72E2 overexpression in constructing new varieties of phytoremediation and may provide new ideas for reducing the indirect or direct risks of pesticides or other environmental pollutants to non-target organisms and improving biological and environmental resilience.

Risk and UCON-based access control model for healthcare big data

The rapid development of healthcare big data has brought certain convenience to medical research and health management, but privacy protection of healthcare big data is an issue that must be considered in the process of data application. Access control is one of the methods for privacy protection, but traditional access control models cannot adapt to the dynamic, continuous, and real-time characteristics of healthcare big data scenarios. In this paper, we propose an access control model based on risk quantification and usage control (RQ-UCON). The model adds a risk quantification module to the traditional UCON model to achieve privacy protection of medical data. This module classifies risks into direct and indirect risks and quantifies them based on the physician's visit history. The model stores the quantified risk values as subject attributes. The RQ-UCON model uses an improved Exponentially Weighted Moving Average (EWMA) and penalty factors to predict risk value and to update the risk values of the subject attributes in real-time. The RQ-UCON model uses agglomerative hierarchical clustering to cluster the risk values of physicians within the department, resulting in risk intervals for each physician's operational behavior. Each risk interval is stored as a condition in the RQ-UCON model. Finally, according to the model whether the subject attributes meet the model conditions to determine whether the subject has the corresponding access rights, and according to the risk interval to grant the subject the corresponding access rights. Through the final experiment, it can be seen that the access control model proposed in this paper has a certain control on the excessive access behavior of doctors and has a certain limitation on the privacy leakage of healthcare big data.

Safe human-robot collaboration in construction: A conceptual perspective

Introduction: Small mobile robots have become increasingly popular in the construction domain over the last few years. They are stable on rough terrains, can walk over small obstacles, climb stairs, and carry various sensors or arms to perform diverse functions and sub-tasks required to complete construction-related tasks. Saving time, improving accessibility to difficult or unsafe spaces, and reducing costs while accomplishing construction tasks are some of the benefits of using small, mobile robots in construction. However, serious concerns about new workplace hazards could arise from having mobile robots on the jobsite. Unfortunately, no study has attempted to evaluate these risks, especially in the construction domain. Therefore, there was a significant need to develop a holistic understanding of the direct and indirect risks of mobile robot applications in construction. Method: In this paper, we used inferential and Virtual Reality (VR) visualization techniques to: (1) construct conceptual visualizations of proximal and distant human-robot interaction within the construction context; and (2) identify potential safety challenges of robots, which were categorized into three groups: (a) physical risks, (b) attentional costs, and (c) psychological impacts. These identified safety challenges were then validated and ranked by a group of construction safety and robotic experts who had knowledge and experience using such robots in construction. Practical Applications: The outcomes of the study provided a detailed understanding of how robots might adversely affect workers’ safety and health. The study outcomes could also be ultimately used in creating regulatory and administrative guidelines for the safe operations of small mobile robots in construction.

Assessment of tropical suburban surface soils contamination from Jengka, Malaysia

Heavy metals in suburban soils pose both indirect and direct health risks. This study assessed the concentrations of Cr, Zn, Pb, and Cd in Jengka (Malaysia) suburban soil and estimated the human health risk. Health risk assessment (HRA) was utilized to assess non-cancer and cancer risks. The concentrations of heavy metals increased in the following order: Cd < Zn < Cr < Pb. The heavy metals were found to be divided into two components using principal component analysis (PCA), with PC1 comprising Pb and Cd and PC2 containing Zn and Cr. PC1 originates from anthropogenic sources, while PC2 is often from mixed anthropogenic and natural sources. Despite having the lowest mean concentration, Cd was enriched based on the geo-accumulation index (Igeo) and enrichment factor (EF). Average hazard index values were below the acceptable threshold (HI < 1) for dermal and inhalation pathways suggesting a low non-cancer risk. Jengka suburban soil had total lifetime cancer risk values slightly higher than the acceptable threshold (1 × 10−5). Skin contact was the most prominent contributing exposure pathway for both non-carcinogenic and carcinogenic risks. This study suggests that heavy metal bioactivity levels be used to make a plausible HRA of heavy metal pollution in suburban soils.

Development of Early Stage Diabetes Prediction Model Based on Stacking Approach

Diabetes is a disease that may pose direct or indirect risks in terms of human health. Early diagnosis can minimize the potential harm of this disease to the body and reduce the probability of death. For this reason, laboratory tests are performed on diabetic patients. The analysis of these tests enables the diagnosis of diabetes. The aim of this study is so quickly diagnose diabetes by using data obtained from patients with machine learning methods. In order to diagnose the disease, k-nearest neighbor (k-NN), logistic regression (LR), random forest (RF) models and the stacking meta model which is created by combining these three models were used. The dataset used in the research includes test samples taken from 520 people. The dataset has 17 features, including 16 input features and 1 output feature. As a result of the classification through this dataset, different classification results were obtained from the models. The classification success of the models LR, k-NN, RF and stacking were found to be 91.3%, 91.7%, 97.9% and 99.6%, respectively. F-score, precision and recall performance metrics were utilized for a detailed analysis of the models' classification results. The obtained results revealed that the stacking model has a sufficient level to be used as a decision support system in the early diagnosis of diabetes.

Revealing indirect risks in complex socioeconomic systems: A highly detailed multi-model analysis of flood events in Austria.

Cascading risks that can spread through complex systems have recently gained attention. As it is crucial for decision-makers to put figures on such risks and their interactions, models that explicitly capture such interactions in a realistic manner are needed. Climate related hazards often cascade through different systems, from physical to economic and social systems, causing direct but also indirect risks and losses. Despite their growing importance in the light of ongoing climate change and increasing global connections, such indirect risks are not well understood. Applying two fundamentally different economic models-a computable general equilibrium model and an agent-based model-we reveal indirect risks of flood events. The models are fed with sector-specific capital stock damages, which constitutes a major methodological improvement. We apply these models for Austria, a highly flood exposed country with strong economic linkages. A key finding is that flood damages pose very different indirect risks to different sectors and household groups (distributional effects) in the short and long-term. Our results imply that risk management should focus on specific societal subgroups and sectors. We provide a simple metric for indirect risk, showing how direct and indirect losses are related. This can provide new ways forward in risk management, for example, focusing on interconnectedness of sectors and agents within different risk-layers of indirect risk. Although we offer highly relevant leverage points for indirect risk management in Austria, the methodology of analyzing indirect risks can be transferred to other regions.

Contactless Switching System Based on Gesture Recognition

ith the downgrading of COVID-19, the public affairs we contact in our daily life still cause potential indirect transmission risks, so we should pay more Gesture recognition is used to safely and quickly control these objects, so as to avoid them becoming the "hotbed" of virus transmission, reduce the chance of virus infection, and ensure the safety of public health. Gesture recognition is used to safely and quickly control these objects, so as to avoid them becoming the "hotbed " of virus transmission, reduce the chance of virus infection, and ensure the safety of users. Based on this, we propose to develop a contactless switching system using low cost and high reliability infrared gesture recognition.

Risk Assessment of Water Transport Enterprises by Modeling Direct and Indirect Threats

Introduction. The methods of traffic modeling by water transport and assessing the risks associated with it is needed to identify the issues of the past period, proposing methods for assessing not only direct but also indirect risks to form the preconditions for preventing them in the postwar reconstruction. The coordination of different transport type’s actions of transport requires an assessment of risks impact of the previous stages of mixed transportation on the formation of the following risks’ stages. Existing methods of assessing such impact need to be improved.&#x0D; Aim and tasks. The aim of this study is creation of methodological approach to risk management in water transport based on a mathematical model for assessing the impact of both direct and indirect risks. The tasks are: to prove that the additive approach of taking risks into account leads to the systematic deviation appearance from the result; take into account the impact on the risk of cargo transportation.&#x0D; Results. It has proved that the calculation of risk as an additive function leads to a systematic deviation from the relevant result. It stated that the risk of each of the next stages of transportation depends on the risks of the previous stages. To increase risk analysis relevance in water transport, the use of an oriented graph in a multidimensional parameter space proposed. It stated that in order to calculate the integrated risk, it is essential building not only the risk matrix but also the risk incidence matrix to take into account their relation to business entities. It established the impact of even minor risks could take the form of a catastrophe, which leads to cargo flows reorientation. It established that: for calculation of integral risk, it is crucial consider direct and indirect influences of risks; risk calculation for water transport also requires risk analysis in related modes of transport.&#x0D; Conclusions. It was established that, when calculating integral risk, it is necessary to consider direct and indirect influences on risks and that the risk calculation for water transport also requires risk analysis in related modes of transport. The proposed approach significantly increases the relevance of water transport risk analysis and allows for managing changes in transportation routes in real time.

Histopathological and health risk assessment of heavy metals in the straw-colored fruit bat, Eidolon helvum, in Nigeria.

There is heightening concern regarding heavy metals environmental pollution requiring renewed global attention because of their bioaccumulation and toxicity at varying levels. The concern is most important in the highly migratory Eidolon helvum (E. helvum) that is very common and traverses wide geographical areas within the sub-Saharan Africa. The present study aimed to evaluate levels of cadmium (Cd), lead (Pb), and zinc (Zn) bioaccumulation in 24 E. helvum of both sexes from Nigeria to assess their indirect health risks to the human consumers of the bats in addition to their direct bioaccumulation and toxic damages in the bats themselves based on standard procedures. Lead, Zn, and Cd bioaccumulation concentrations were 2.83 ± 0.35, 0.42 ± 0.03, and 0.05 ± 0.01mg/kg, respectively, with significant (p < 0.05) Pb bioaccumulation compared to either Cd or Zn in the affected bats. However, only Pb (markedly) and Cd (marginally) bioaccumulated above small mammals' critical threshold levels as there are no existing established threshold levels for bats. Sex played no major role in their bioaccumulation levels. The bioaccumulation levels posed no life-long non-carcinogenic nor carcinogenic risks to the human consumers of the bats at detected concentrations. The observed lungs, liver, and kidney histopathological changes suggested the possible direct effects of the metals in the bats. Nevertheless, other anthropogenic factors might be responsible as no significant (p > 0.05) correlation existed between cellular changes and the bioaccumulation levels. The presence of the heavy metals and their bioaccumulations above critical threshold levels suggested some levels of environmental contamination and pollution, which might have direct and indirect health implications to the bats and their human consumers.

Opportunities to tackle antibiotic resistance development in the aquatic environment through the Water Framework Directive

Antibiotics are critical components of modern health care. Protecting their efficacy through managing the rise in antibiotic resistance is therefore a global concern. It is not known to what extent environmental pollution from antibiotics contributes to the development of resistance, but encountered concentrations are frequently above concentrations predicted to select for resistance. Hence, measures are needed to manage risks. Here, we analyse if the indirect health risks from antibiotics in the aquatic environment can be considered in the context of the EU Water Framework Directive and the setting of environmental quality standards (EQS). By scrutinising current legislation, we conclude that it is possible to take the indirect health risks from antimicrobial resistance into account when deriving EQS for substances with antibiotic activity. We base this on the following conclusions: (1) human health concerns can be the main driver when setting an EQS, (2) an EQS can be based on data not specified in the guidance document, and (3) there are no restrictions against establishing EQS using data on antimicrobial resistance properties. In addition, since antimicrobial resistance travel across borders, we see strong reasons to prioritise setting these EQS on the EU level over the national level. Even though there is no agreed-upon method for how to develop EQS protective against resistance selection, there are several suggestions available in the literature and a couple of examples of regulatory initiatives. Also, addressing antimicrobial resistance through the Water Framework Directive can act as a driving force for other applicable legislation where such risks are not considered. We end by providing a set of recommendations for the European Commission and the Members States' future work on addressing aquatic pollution and antimicrobial resistance.

Governing the work-related risks of AI: implications for the German government and trade unions

This article discusses the risks that artificial intelligence (AI) poses for work. It classifies risks into two types, direct and indirect. Direct risks are AI-induced forms of discrimination, surveillance and information asymmetries at work. Indirect risks are enhanced workplace automation and the increasing ‘fissurisation’ of work. Direct and indirect risks are illustrated using the example of the transport and logistics sector. We discuss policy responses to both types of risk in the context of the German economy and argue that the policy solutions need to differ according to the type of risk. Direct risks can be addressed by European and national regulation against discrimination, surveillance and information asymmetries. As for indirect risks, the first step is to monitor the risks so as to gain an understanding of sector-specific transformations and establish relevant expertise and competence. This way of addressing AI-induced risks at work will help to improve the prospects of decent work, fair remuneration and adequate social protection for all.

Short-term effects of various non-steroidal anti-inflammatory drugs (NSAIDs) on Danio rerio embryos

Due to the widespread use of non-steroidal anti-inflammatory drugs (NSAIDs) without a medical prescription and their frequent prevalence in aquatic habitats, there are major health and environmental issues. NSAIDs have been found in surface water and wastewater in concentrations ranging from ng/L to μg/L all over the world. The purpose of this study was to determine the relationship between NSAIDs (diclofenac, ketoprofen, paracetamol and ibuprofen) exposure and associated adverse effects in the assessment of indirect human health risks posed by Danio rerio (zebrafish) and Environmental Risk Assessment (ERA) of these NSAIDs in aquatic environments. Therefore, the objectives of this study were to (i) reveal abnormality endpoints of early developmental stages, after exposure of zebrafish and (ii) perform an ecological risk assessment of aquatic organisms upon exposure to NSAIDs detected in surface waters based on the risk quotients (RQs) method. According to the toxicity data collected, all of the malformations appeared after diclofenac exposure at all concentrations. The most notable malformations were the lack of pigmentation and an increase in yolk sac volume, with EC50 values of 0.6 and 1.03 mg/L, respectively. The results obtained for the ERA revealed RQs higher than 1 for all the four NSAIDs chosen, posing ecotoxicological pressure in aquatic environments. Overall, our findings provide a critical contribution to the formulation of high-priority actions, sustainable strategies and strict regulations that minimize the negative effects of NSAIDs on the aquatic ecosystem.•To determine the LC50, lethal conditions such as coagulation, absence of heartbeat and blood flow, absence of tail separation and development of somites were taken into account.•The EC50 was calculated using sublethal parameters such as blood coagulation, pericardial edema, yolk sac edema or hypertrophy.•The 4 compounds present a high risk individually and in mixture with a RQ >> 1.

COVID-19 Vaccination Experiences of Family Caregivers of Persons Living with Dementia in Rural Appalachia.

The study investigated COVID-19 vaccine acceptance, hesitancy, and barriers among family caregivers of rural community-dwelling persons living with dementia (PLwD). Three waves of telephone interviews with 26 family caregivers (96% White, 81% Female, Mage = 63 ± 12 years) were analyzed using thematic content analysis. At Wave 3, although all dyads were eligible, only 10 dyads had received their first dose of the vaccine. In 10 dyads, neither person had received the vaccine; in2 dyads, the caregivers did but the PLwD did not; and in 4 dyads, the caregiver did not but the PLwD did. Perceived direct and indirect health risks, cues from trusted allies, and ability to overcome vaccination barriers affected COVID-19 vaccination acceptance. Vaccine refusals were motivated by a low perceived risk of COVID-19, vaccine fear, and personal beliefs. Findings have implications for administration of preventative care practices for dementia family caregivers living in remote locations during a public health emergency.

COVID-19 VACCINATIONS AMONG COMMUNITY-DWELLING PERSONS LIVING WITH DEMENTIA AND THEIR CAREGIVERS

Abstract There is a paucity of information regarding the uptake of the COVID-19 vaccine among community-dwelling persons living with dementia and their family caregivers. We examined factors influencing COVID-19 vaccine acceptance and hesitancy among community-dwelling persons living with dementia and their family caregivers during the early months of the vaccine rollout (February-March, 2021). Data came from three waves of telephone interviews (Mtime = 38.33 minutes) with 26 family caregivers living in rural Appalachian Virginia (96% White, 81% Female, Mage= 63±12 years, 42% Spouse Caregivers). We conducted a four-stage trajectory-based thematic content analysis and used the health belief model to interpret the data. Whereas all family caregivers and their relative living with dementia were eligible for the vaccine at Wave 3, only 10 dyads received it, while 10 dyads did not. In two families, the caregivers received the vaccine but not the person living with dementia; in four families, the caregiver had not received the vaccine, but their relative did. COVID vaccination acceptance was influenced by perceived direct and indirect health risks, cues from trusted allies, and ability to overcome vaccination barriers. Homebound people living with dementia faced unique barriers including transportation to vaccine sites and providers’ inability to deliver the vaccine to the home. Caregivers who refused or delayed vaccinations for themselves or their relatives discussed confusion about eligibility, low perceived risk of COVID, vaccine fear, and personal choice beliefs. Findings inform direct care delivery for interdependent family members who live in remote locations facing a public health crisis.

Evidence of within-facility patient-patient Clostridiodes difficile infection spread across diverse settings.

Previous studies have suggested that a hospital patient's risk of developing healthcare facility-onset (HCFO) Clostridioides difficile infections (CDIs) increases with the number of concurrent spatially proximate patients with CDI, termed CDI pressure. However, these studies were performed either in a single institution or in a single state with a very coarse measure of concurrence. We conducted a retrospective case-control study involving over 17.5 million inpatient visits across 700 hospitals in eight US states. We built a weighted, directed network connecting overlapping inpatient visits to measure facility-level CDI pressure. We then matched HCFO-CDIs with non-CDI controls on facility, comorbidities and demographics and performed a conditional logistic regression to determine the odds of developing HCFO-CDI given the number of coincident patient visits with CDI. On average, cases' visits coincided with 9.2 CDI cases, which for an individual with an average length of stay corresponded to an estimated 17.7% (95% CI 12.9-22.7%) increase in the odds of acquiring HCFO-CDI compared to an inpatient visit without concurrent CDI cases or fully isolated from both direct and indirect risks from concurrent CDI cases. These results suggest that, either directly or indirectly, hospital patients with CDI lead to CDIs in non-infected patients with temporally overlapping visits.

Risk analysis of agricultural input management and its drivers and obstacles: a case study of vegetable production enterprises in Beijing

PurposeThe quantitative understanding of the safe input management practices of vegetable producers is essential for both food safety and environmental protection. The purpose of this study is to investigate the current status of safe production in vegetable enterprises and examine the key risk factors affecting the safe production of vegetables from the perspective of agricultural inputs.Design/methodology/approachBased on the theory of risk analysis, a framework of safe vegetable production risk analysis is constructed from the perspective of production input behaviour. Based on 202 valid questionnaires in Beijing, China, this paper identifies direct risks in input management through statistical descriptive analysis; determines weights through an expert elicitation process and calculates weighted safety values accordingly; and finally uses a categorical regression model to explore the indirect risks affecting corporate safety production.FindingsThe results show that direct risk factors include seed treatment risk, pesticide and fertilizer use criteria risk, pesticide and fertilizer operation risk, and pesticide application object risk. The production safety value of Beijing's enterprises is found to be high in the north and south regions, and low in the central region. Finally, some indirect risk factors, namely the cognition of agricultural product safety laws, the cognition of pesticide safety intervals, the cognition of prohibited pesticides and the possession of brands, are found to have positive and significant impacts on the safe production behaviour of enterprises.Originality/valueThese findings provide entry points for interventions aimed at reducing dependence on pesticides and fertilizers and promoting input management for safe vegetable production in enterprises, thus avoiding vegetable safety incidents due to improper practices in the production chain.

Tackling Environmental Crimes and Biological Threats Across Borders of the Greater Mekong Subregion

Wildlife trafficking and other commodities associated with environmental crimes traded across the borders of the Greater Mekong Subregion (GMS) carry direct or indirect risks for biological threats. Outbreaks associated with these threats can have devasting implications for human populations as well as for farmed or native animal and plant populations. Although the links between environmental crimes and biological threats are obvious, we see two disconnected responses which limits the ability to tackle both the crime and the risks of biological threats. On one hand, there are efforts to improve law enforcement prioritisation and capability to disrupt transnational organised crime. On the other hand, we see increasing resources channelled through a One Health framework that aim to improve early warning surveillance of emerging infectious disease with a focus on diseases that can affect livestock or zoonotic diseases that can affect human health. The COVID-19 pandemic has provided a unique opportunity to explore alternative strategies, particularly the need to expand the operational definition of One Health to usher in more joined up partnerships between security sector personnel and human and animal health personnel working along borders of the GMS. This policy commentary draws on a literature review and informal stakeholder discussions conducted in preparation for on ongoing formal research project. This commentary provides policy and program considerations for improving both the enforcement of environmental crimes and early warning biological threat surveillance, preparedness and response in the Greater Mekong Subregion.

The spillover effects of political risk, financial risk, and economic freedom on ecological footprint: Empirical evidence from Belt and Road Initiative countries

Determining the relationships between economic freedom, political and financial risk, and ecological footprint has important implications for all nations and surrounding countries' environmental sustainability. Nevertheless, the regional influence of these variables has largely been ignored, particularly in countries that are part of China's Belt and Road Initiative (BRI), with only a few studies examining institutions' participation in reducing environmental degradation. This article expands previous research regarding whether the economic freedom and political and financial risks of surrounding countries can also impact domestic ecological footprints. We apply a spatial dynamic econometric model to a panel of 86 BRI countries from 1995 to 2020 to investigate these influences. Our results demonstrate the presence of regional dependency in countries' ecological footprint, also revealing evident spillover effects of indirect political and financial risks and economic freedom.

Accounting for direct and indirect cumulative effects of anthropogenic pressures on salmon- and herring-linked land and ocean ecosystems.

Salmon and herring support both land and ocean predators and are critical to ecosystem resilience. Their linkages across land and sea realms make them highly susceptible to human activities, which can have flow-on effects up the food web. We quantify and compare the potential cumulative effects of human-driven pressures on interdependent species in salmon- and herring-linked ecosystems of western Canada using a risk assessment methodology. Adding indirect risks resulted in 68% greater total risks for land species than for direct risk alone, versus 15% for marine species. Inclusion of climate change pressures resulted in the greatest change in risk for low trophic marine species and habitats (greater than 25% increase). Forestry-related pressures accounted for the highest risk to all species and projected management of these pressures resulted in a total reduction of risk across all ecosystem components that was more than 14% greater than management of fisheries pressures. Ignoring land food web linkages and pressures underestimated cumulative risk by more than 40% for salmon and herring. This simple framework can be used to evaluate potential risk of existing human uses and future change to inform immediate management of linked land-sea ecosystems and help species avoid the ‘death by a thousand cuts'.This article is part of the theme issue ‘Nurturing resilient marine ecosystems’.