A globally integrated structure of taxonomy to support biodiversity science and conservation.

All aspects of biodiversity research, from taxonomy to conservation, rely on data associated with species names. Effective integration of names across multiple fields is paramount and depends on the coordination and organization of taxonomic data. We assess current efforts and find that even key applications for well-studied taxa still lack commonality in taxonomic information required for integration. We identify essential taxonomic elements from our interoperability assessment to support improved access and integration of taxonomic data. A stronger focus on these elements has the potential to involve taxonomic communities in biodiversity science and overcome broken linkages currently limiting research capacity. We encourage a community effort to democratize taxonomic expertise and language in order to facilitate maximum interoperability and integration.

Childhood verbal abuse as a child maltreatment subtype: A systematic review of the current evidence.

BACKGROUND: In recent years, the prevalence of childhood emotional abuse has surpassed other forms of maltreatment. Childhood verbal abuse (CVA) is a key attribute of emotional abuse, yet CVA is not recognized as its own form of maltreatment and thus, has not received adequate attention. Clear terminology, definitions, and measures are needed to aid in assessing the occurrence and impact of CVA for its recognition and prevention. OBJECTIVE: We aim to synthesize the evidence on the terms, definitions, and measurements of CVA and identify outcomes associated with CVA. PARTICIPANTS AND SETTING: A systematic review focused on adult perpetration of CVA among children and adolescents using clinical, community-based, and population-based samples. METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were followed and four databases were utilized in May 2022: PsycINFO, MEDLINE, EMBASE, and ProQuest. A total of 149 quantitative and 17 qualitative studies were identified. RESULTS: Across studies reviewed, the most common perpetrators of CVA were parents, mothers, and teachers. Definitional themes for CVA included negative speech volume, tone, and speech content, and their immediate impact. The most frequent measures cited were Adverse Childhood Experiences Study (ACE) Questionnaire and the Conflict Tactics Scale (CTS); 50 % used self-created measures. CVA was associated with a range of internalizing and externalizing outcomes across the lifespan. CONCLUSIONS: Recognizing CVA as a form of maltreatment will be a starting point for its identification and prevention. Primary prevention of CVA using trauma-informed approaches must include adult training on the importance of safety, support, and nurturance during verbal communication with children.

Co-occurrence of biodiversity, carbon storage, coastal protection, and fish and invertebrate production to inform global mangrove conservation planning.

Mangrove forests support unique biodiversity and provide a suite of ecosystem services (ES) that benefit people. Decades of continual mangrove loss and degradation have necessitated global efforts to protect and restore this important ecosystem. Generating and evaluating asset maps of biodiversity and ES is an important precursor to identifying locations that can deliver conservation outcomes across varying scales, such as maximising the co-occurrence of specific ES. We bring together global datasets on mangrove-affiliated biodiversity, carbon stocks, fish and invertebrate production, and coastal protection to provide insight into potential trade-offs, synergies and opportunities from mangrove conservation. We map opportunities where high ES provision co-occurs with these areas that could be leveraged in conservation planning, and identify potential high-value opportunities for single ES that might otherwise be missed with a biodiversity focus. Hotspots of single ES, co-occurrence of multiple ES, and opportunities to simultaneously leverage biodiversity and ES occurred throughout the world. For example, efforts that focus on conserving or restoring mangroves to store carbon can be targed to deliver multiple ES benefits. Some nations, such as Vietnam, Oman, Ecuador and China, showed consistent (although not necessarily strong) correlations between ES pairs. A lack of clear or consistent spatial trends elsewhere suggests that some nations will likely benefit more from complementarity-based approaches that focus on multiple sites with high provision of different services. Individual sites within these nations, however, such as Laguna de Terminos in Mexico still provide valuable opportunities to leverage co-benefits. Ensuring that an ES focused approach is complemented by strategic spatial planning is a priority, and our analyses provide a precursor towards decisions about where and how to invest.

Demystifying ecological connectivity for actionable spatial conservation planning.

Connectivity underpins the persistence of life; it needs to inform biodiversity conservation decisions. Yet, when prioritising conservation areas and developing actions, connectivity is not being operationalised in spatial planning. The challenge is the translation of flows associated with connectivity into conservation objectives that lead to actions. Connectivity is nebulous, it can be abstract and mean different things to different people, making it difficult to include in conservation problems. Here, we show how connectivity can be included in mathematically defining conservation planning objectives. We provide a path forward for linking connectivity to high-level conservation goals, such as increasing species' persistence. We propose ways to design spatial management areas that gain biodiversity benefit from connectivity.

Areas of global importance for conserving terrestrial biodiversity, carbon and water.

To meet the ambitious objectives of biodiversity and climate conventions, the international community requires clarity on how these objectives can be operationalized spatially and how multiple targets can be pursued concurrently. To support goal setting and the implementation of international strategies and action plans, spatial guidance is needed to identify which land areas have the potential to generate the greatest synergies between conserving biodiversity and nature's contributions to people. Here we present results from a joint optimization that minimizes the number of threatened species, maximizes carbon retention and water quality regulation, and ranks terrestrial conservation priorities globally. We found that selecting the top-ranked 30% and 50% of terrestrial land area would conserve respectively 60.7% and 85.3% of the estimated total carbon stock and 66% and 89.8% of all clean water, in addition to meeting conservation targets for 57.9% and 79% of all species considered. Our data and prioritization further suggest that adequately conserving all species considered (vertebrates and plants) would require giving conservation attention to ~70% of the terrestrial land surface. If priority was given to biodiversity only, managing 30% of optimally located land area for conservation may be sufficient to meet conservation targets for 81.3% of the terrestrial plant and vertebrate species considered. Our results provide a global assessment of where land could be optimally managed for conservation. We discuss how such a spatial prioritization framework can support the implementation of the biodiversity and climate conventions.

Prioritizing actions: spatial action maps for conservation.

Spatial prioritization is a critical step in conservation planning, a process designed to ensure that limited resources are applied in ways that deliver the highest possible returns for biodiversity and human wellbeing. In practice, many spatial prioritizations fall short of their potential by focusing on places rather than actions, and by using data of snapshots of assets or threats rather than estimated impacts. We introduce spatial action mapping as an approach that overcomes these shortfalls. This approach produces a spatially explicit view of where and how much a given conservation action is likely to contribute to achieving stated conservation goals. Through seven case examples, we demonstrate simple to complex versions of how this method can be applied across local to global scales to inform decisions about a wide range of conservation actions and benefits. Spatial action mapping can support major improvements in efficient use of conservation resources and will reach its full potential as the quality of environmental, social, and economic datasets converge and conservation impact evaluations improve.

Multi-objective zoning for aquaculture and biodiversity.

Aquaculture is the fastest growing food production industry in the world yet research and guidance demonstrating strategic multi-objective zoning for sector expansion is scarce. Quantifying and mitigating conflicts and impact on sensitive coastal environments through jointly-optimized objectives for aquaculture and biodiversity simultaneously has not been tested yet. We here develop and evaluate six alternative planning scenarios for one of the European Union's highest priority bivalve shellfish aquaculture areas, the Emilia-Romagna Region in Italy. We i) develop an aquaculture profitability surface as a function of the distance from main ports, and in parallel build a fine-scale aquaculture suitability distribution surface for important commercial species using multi-criteria analysis; ii) prioritize protected areas for biodiversity while testing how different considerations of human impacts influence priorities; iii) simultaneously plan for aquaculture and biodiversity while minimizing impacts on other maritime activities. We compare results from different scenarios according to how well they capture suitable aquaculture habitats and minimize impacts. We introduce a new evaluation method for scenario comparison in spatial optimization using a nearest-neighbor analysis for spatial pattern similarities. Lastly, we test the "value of information" provided by our investment in developing the fine-scale suitability surface to improve efficiencies. We find that an integrated multi-objective zoning approach, which simultaneously optimizes for biodiversity and aquaculture, supports more efficient planning than traditional sector specific growth strategies. We also discovered that the fine-scale suitability model delivered a 5% more efficient solution than the simple distance function, highlighting the role of proxy cost surfaces and diminished returns from investing in comprehensive habitat suitability analysis in regions without much variation in key parameters. We offer evidence of improved efficiency and practical guidance for integrated planning in Blue Growth agendas. Our analysis can be applied in any context where multiple objectives occur for aquaculture sector growth and biodiversity conservation.

Protecting the global ocean for biodiversity, food and climate.

The ocean contains unique biodiversity, provides valuable food resources and is a major sink for anthropogenic carbon. Marine protected areas (MPAs) are an effective tool for restoring ocean biodiversity and ecosystem services1,2, but at present only 2.7% of the ocean is highly protected3. This low level of ocean protection is due largely to conflicts with fisheries and other extractive uses. To address this issue, here we developed a conservation planning framework to prioritize highly protected MPAs in places that would result in multiple benefits today and in the future. We find that a substantial increase in ocean protection could have triple benefits, by protecting biodiversity, boosting the yield of fisheries and securing marine carbon stocks that are at risk from human activities. Our results show that most coastal nations contain priority areas that can contribute substantially to achieving these three objectives of biodiversity protection, food provision and carbon storage. A globally coordinated effort could be nearly twice as efficient as uncoordinated, national-level conservation planning. Our flexible prioritization framework could help to inform both national marine spatial plans4 and global targets for marine conservation, food security and climate action.

RadTranslate: An Artificial Intelligence-Powered Intervention for Urgent Imaging to Enhance Care Equity for Patients With Limited English Proficiency During the COVID-19 Pandemic.

PURPOSE: Disproportionally high rates of coronavirus disease 2019 (COVID-19) have been noted among communities with limited English proficiency, resulting in an unmet need for improved multilingual care and interpreter services. To enhance multilingual care, the authors created a freely available web application, RadTranslate, that provides multilingual radiology examination instructions. The purpose of this study was to evaluate the implementation of this intervention in radiology. METHODS: The device-agnostic web application leverages artificial intelligence text-to-speech technology to provide standardized, human-like spoken examination instructions in the patient's preferred language. Standardized phrases were collected from a consensus group consisting of technologists, radiologists, and ancillary staff members. RadTranslate was piloted in Spanish for chest radiography performed at a COVID-19 triage outpatient center that served a predominantly Spanish-speaking Latino community. Implementation included a tablet displaying the application in the chest radiography room. Imaging appointment duration was measured and compared between pre- and postimplementation groups. RESULTS: In the 63-day test period after launch, there were 1,267 application uses, with technologists voluntarily switching exclusively to RadTranslate for Spanish-speaking patients. The most used phrases were a general explanation of the examination (30% of total), followed by instructions to disrobe and remove any jewelry (12%). There was no significant difference in imaging appointment duration (11 ± 7 and 12 ± 3 min for standard of care versus RadTranslate, respectively), but variability was significantly lower when RadTranslate was used (P = .003). CONCLUSIONS: Artificial intelligence-aided multilingual audio instructions were successfully integrated into imaging workflows, reducing strain on medical interpreters and variance in throughput and resulting in more reliable average examination length.

Broader impacts of an intervention to transform school environments on student behaviour and school functioning: post hoc analyses from the INCLUSIVE cluster randomised controlled trial.

BACKGROUND: We have previously reported benefits for reduced bullying, smoking, alcohol and other drug use and mental health from a trial of 'Learning Together', an intervention that aimed to modify school environments and implement restorative practice and a social and emotional skill curriculum. OBJECTIVES: To conduct post hoc theory-driven analyses of broader impacts. DESIGN: Cluster randomised trial. SETTINGS: 40 state secondary schools in southern England. PARTICIPANTS: Students aged 11/12 years at baseline. OUTCOMES: Student self-reported measures at 24 and 36 months of: cyberbullying victimisation and perpetration; observations of other students perpetrating aggressive behaviours at school; own perpetration of aggressive behaviours in and outside school; perceived lack of safety at school; participation in school disciplinary procedures; truancy and e-cigarette use. RESULTS: We found evidence of multiple impacts on other health (reduced e-cigarette use, cyberbullying perpetration, perpetration of aggressive behaviours) and educational (reduced participation in school disciplinary procedures and truancy) outcomes. CONCLUSION: These analyses suggested that the intervention was effective in bringing about a broader range of beneficial outcomes, adding to the evidence that the intervention is a promising approach to promote adolescent health via an intervention that is attractive to schools. TRIAL REGISTRATION NUMBER: ISRCTN10751359.

Prioritizing debt conversion opportunities for marine conservation.

Incentivized debt conversion is a financing mechanism that can assist countries with a heavy debt burden to bolster their long-term domestic investment in nature conservation. The Nature Conservancy, an international conservation-based nongovernmental organization, is adapting debt conversions to support marine conservation efforts by small island developing states and coastal countries. Prioritizing debt conversion opportunities according to their potential return on investment can increase the impact and effectiveness of this finance mechanism. We developed guidance on how to do so with a decision-support approach that relies on a novel threat-based adaptation of cost-effectiveness analysis. We constructed scenarios by varying parameters of the approach, including enabling conditions, expected benefits, and threat classifications. Incorporating both abatable and unabatable threats affected priorities across planning scenarios. Similarly, differences in scenario construction resulted in unique solution sets for top priorities. We show how environmental organizations, private entities, and investment banks can adopt structured prioritization frameworks for making decisions about conservation finance investments, such as debt conversions. Our guidance can accommodate a suite of social, ecological, and economic considerations, making the approach broadly applicable to other conservation finance mechanisms or investment strategies that seek to establish a transparent process for return-on-investment decision-making.

Priorización de las Oportunidades de Conversión de Deudas para la Conservación Marina Resumen La incentivación de la conversión de deudas es un mecanismo financiero que puede apoyar a los países con una gran carga deudora a impulsar su inversión doméstica a largo plazo en la conservación de la naturaleza. The Nature Conservancy, una organización internacional no gubernamental basada en la conservación está adaptando las conversiones de deudas para que apoyen a los esfuerzos de conservación marina realizados por países en desarrollo ubicados en pequeñas islas y por los países costeros. La priorización de las oportunidades de conversión de deudas según su rendimiento potencial de la inversión puede incrementar el impacto y la efectividad de este mecanismo financiero. Desarrollamos una guía de cómo lograr esto con una estrategia de respaldo a las decisiones que depende de una adaptación novedosa basada en amenazas de un análisis de rentabilidad. Construimos escenarios por medio de la variación de los parámetros de alcance (incluyendo a las condiciones de habilitación), los beneficios esperados y las clasificaciones de las amenazas. La incorporación de las amenazas abatibles e imbatibles afectó a las prioridades en todos los escenarios de planeación. De manera similar, las diferencias en la construcción de los escenarios resultaron en un conjunto de soluciones únicas para las principales prioridades. Así demostramos cómo las organizaciones ambientales, entidades privadas y los bancos de inversión pueden adoptar marcos de trabajo de priorización estructurada para la toma de decisiones sobre la inversión en el financiamiento de la conservación, como lo son las conversiones de deudas. Nuestra guía puede satisfacer un conjunto de consideraciones sociales, ecológicas y económicas, lo que vuelve a la estrategia en general pertinente para otros mecanismos de financiamiento de la conservación o estrategias de inversión que busquen establecer un proceso transparente para la toma de decisiones de rendimiento de la inversión.

Conservation prioritization can resolve the flagship species conundrum.

Conservation strategies based on charismatic flagship species, such as tigers, lions, and elephants, successfully attract funding from individuals and corporate donors. However, critics of this species-focused approach argue it wastes resources and often does not benefit broader biodiversity. If true, then the best way of raising conservation funds excludes the best way of spending it. Here we show that this conundrum can be resolved, and that the flagship species approach does not impede cost-effective conservation. Through a tailored prioritization approach, we identify places containing flagship species while also maximizing global biodiversity representation (based on 19,616 terrestrial and freshwater species). We then compare these results to scenarios that only maximized biodiversity representation, and demonstrate that our flagship-based approach achieves 79-89% of our objective. This provides strong evidence that prudently selected flagships can both raise funds for conservation and help target where these resources are best spent to conserve biodiversity.

Integrating climate adaptation and biodiversity conservation in the global ocean.

The impacts of climate change and the socioecological challenges they present are ubiquitous and increasingly severe. Practical efforts to operationalize climate-responsive design and management in the global network of marine protected areas (MPAs) are required to ensure long-term effectiveness for safeguarding marine biodiversity and ecosystem services. Here, we review progress in integrating climate change adaptation into MPA design and management and provide eight recommendations to expedite this process. Climate-smart management objectives should become the default for all protected areas, and made into an explicit international policy target. Furthermore, incentives to use more dynamic management tools would increase the climate change responsiveness of the MPA network as a whole. Given ongoing negotiations on international conservation targets, now is the ideal time to proactively reform management of the global seascape for the dynamic climate-biodiversity reality.

Does My Emergency Department Doctor Sleep? The Trouble With Recovery From Night Shift.

BACKGROUND: Previous research has shown that emergency physicians have an increased risk of shift work sleep disorder, potentially compromising their health, wellness, and effectiveness as a physician. OBJECTIVES: This study explores the effect of shift work on sleep in emergency doctors. The hypothesis of the evaluation is that daytime sleep onset would lead to the poorest sleep, implying poor recovery after a night shift. METHODS: Sleep patterns were examined in emergency physicians in an academic emergency department. Twenty-seven individuals completed data collection, wearing wrist actigraphy devices over 3 months. Time of sleep onset was categorized as falling into 1 of 3 ranges: interval 1-day sleepers (6:00 am-2:00 pm), interval 2-evening sleepers (2:00 pm-10:00 pm), or interval 3-night sleepers (10:00 pm-6:00 am). Data from each interval were analyzed for median duration, sleep latency, and night-time interruptions. RESULTS: Daytime sleep sessions had a median total sleep duration of 5.3 ± 2 h, much less than 7.3 ± 1.8 h (interval 2-evening), and 7.0 ± 1.1 h (interval 3-night). Interval 2 sleepers experienced the highest number of nightly awakenings (1.5) and the longest sleep latency (36.5 min). Day sleepers (interval 1), assumed to be predominantly physicians recovering from night shifts, had significantly less sleep than both evening and night sleepers (p < 0.01), experiencing a 23.0% decrease in overall median sleep duration. CONCLUSIONS: This study provides statistical findings that those working the night shift experience significantly less sleep than emergency physicians working other shifts.