Sustainability

Rapid urbanization has intensified ecological degradation and threatened ecosystem sustainability in the Yangtze River Basin. This study proposes a Function-Structure-Dynamic (FSD) framework integrating ecological protection importance assessment, ecological security pattern (ESP) construction, and future land-use simulation to identify ecological restoration priorities in the Anhui section of the Yangtze River Basin. Ecologically important areas were identified by coupling ecosystem services and ecological vulnerability. MSPA, landscape connectivity analysis, resistance surface modeling, and circuit theory were applied to construct the ESP, while the PLUS model simulated land-use change and ecological risks in 2032. Results identified 37 ecological sources covering 6,901.39 km{superscript 2} and 84 ecological corridors with a total length of 916.80 km. Ecological pinch points, barrier areas, and 17 ecological warning areas were further delineated. Based on these findings, four ecological restoration zones were proposed with differentiated management strategies. The FSD framework effectively integrates ecological functions, spatial structure, and future dynamics, providing scientific support for ecological restoration and sustainable territorial spatial planning in rapidly urbanizing regions.

Obtaining, Evaluating, and Communicating Information is one of the eight Science and Engineering Practices in the National Research Council framework that underlies Next Generation Science Standards (NGSS). Scientific inquiry requires evaluation and communication of research findings. These skills are part of scientific inquiry itself. The goal of this study was to characterize the communication practices students used during Science and Engineering Fairs (SEFs). To examine these practices, we included the following question in our online anonymous and voluntary national high school SEF surveys carried out during 2021-22 and 2022-23, "What types of communication and presentation skills did you use in your science fair project?" The possible answers were literature review; research notebook; software to prepare tables, graphs, or images; written report; poster board preparation; PowerPoint presentation; and interview with the judges. Literature review and research notebook are part of developing research questions and data collection. Software to prepare tables, graphs, or images, and PowerPoint presentation contribute to analyzing research and developing a presentation. Written reports, poster board preparation, and interviews with the judges provide the opportunity to present the findings. Overall, 1789 students answered the question. The percentage of students utilizing these skills ranged from 17.3% doing a literature review to 67.6% preparing a poster board. On average, students indicated the use of three skills. Poster board preparation and interview with the judges were selected by students more than twice as frequently as literature review and research notebook. More positive SEF outcomes were associated with a greater number of skills used by students. Among the different skills, use of a research notebook showed the strongest association. In this paper, we present the findings and discuss implications regarding use of notebooks and other communication and presentation skills in students SEF experiences and engagement with scientific inquiry.

IntroductionThe environmental impacts of pesticides have raised increasing concern, prompting the development of indicators to assess associated risks across ecosystems. Two main categories are generally distinguished: score-based indicators, which aggregate variables into scores, and risk-based indicators, grounded in the definition of risk as the product of hazard and exposure. Although more data-intensive and more complex to implement, risk-based indicators are recognized to better preserve proportionality with actual risk levels. ObjectivesThis study presents Phytorisque, a model based on the exposure-toxicity ratio to monitor risks associated with pesticide use in Walloon agriculture, from farm to regional scales, and to identify the most contributing active substances in support of risk-reduction policies MethodPhytorisque is a hybrid model that combines mechanistic, empirical, and statistical approaches, integrating quantities of active substances, their ecotoxicological characteristics, and their mobility, persistence, and bioaccumulation properties to generate indices specific to different environmental compartments. ResultsThe indices obtained enable comparison across substances, agricultural sectors, years, and management scenarios. The Phytorisque model provides an integrated assessment of risk across environmental compartments. It can monitor risk evolution over the years for policy impacts evaluation, diagnose the most problematic substances and prospect environmental risks associated with the use of chemical phytoproducts. ConclusionsPhytorisque provides an integrated risk assessment approach adapted to temporal monitoring, diagnosis, and forecasting. It is a relevant operational tool for supporting regional strategies aimed at reducing pesticide-related risks. The model is also transferable to other regions through the adaptation of parameters to local conditions and context.

BioBlitzes are widely used citizen science events that combine biodiversity monitoring, public participation, and environmental awareness through short and intensive observation campaigns. However, applying this model to marine environments presents additional challenges related to safety, access, weather dependency, specialised equipment, species identification, and sustained participation. This paper presents the BioMARathon model as a case study of how BioBlitz-inspired events can be adapted to marine citizen science contexts. The BioMARathon extends the conventional BioBlitz format into a longer, seasonal, and distributed engagement model designed specifically for marine and coastal environments. The paper describes the conceptual foundations of the model in the Janus Engagement Framework, which informed both the design of the BioMARathon and the adaptation of the MINKA citizen science observatory to better support participation, validation, feedback, and continuity over time. BioMARato Catalunya, launched in 2021, is presented as the founding implementation of the model and as the basis for later replication in Portugal. Between 2021 and 2025, BioMARato Catalunya showed continued growth in participation, observations, and taxonomic coverage, while also contributing to the detection of non-indigenous species, first regional records, and climate-related ecological impacts. Beyond biodiversity outcomes, the case suggests that extending participation across a season, distributing activities through local mobilising organisations, and combining expert validation with visible feedback mechanisms can support recurrent participation, retention, and community reactivation in marine citizen science. Rather than offering a formal causal evaluation, this article contributes practical lessons for the design of citizen science initiatives in challenging environments.

Fire has acted as a major eco-evolutionary force since the evolutionary appearance of plants, shaping plant-traits, diversity, vegetation assembly, and ecosystem functioning. Its ecological role depends on long-term fire regimes. Anthropogenic land-use change and climate warming are disrupting these regimes, particularly in densely populated regions such as the Mediterranean Basin. In the Italian peninsula (Mediterranean region) fire activity peaks during the dry summer months and is projected to intensify under climate change scenarios. Recent methodological developments - based on emerging satellite data, ground-based observations combined with Random Forest (RF) habitat classification, and spectral indices such as the NDVI provide a robust framework for monitoring post-fire land-cover dynamics over time. In this study, we applied RF modelling to classify vegetation cover using a 2017-2024 satellite imagery time series of the Monte Pisano area (central Italy) to assess pre- and post-fire vegetation trajectories. Evergreen shrubs and trees exhibited rapid post-fire regrowth, whereas coniferous stands showed slower recovery rates. NDVI trends revealed an expected sharp decline immediately after the fire, followed by gradual recovery of broadleaf forests and shrubland communities. Moreover, our results indicated a progressive increase in the cover of native deciduous and evergreen species of high conservation value (listed under the Habitat Directive). The framework delivers spatially explicit insights into post-fire recovery, supporting targeted management, restoration under European Nature Restoration Regulation, and long-term monitoring in Mediterranean ecosystems. Incorporating fine-scale environmental variables may further improve classification accuracy and enhance assessments of vegetation resilience and ecosystem recovery following fire events. HighlightsO_LIRecurring fires strongly affect ecosystem structure and function in Mediterranean landscapes. C_LIO_LIIntegrating remote sensing with Random Forest models enables effective monitoring of post-fire vegetation recovery over time. C_LIO_LINDVI time series provide reliable proxies for tracking vegetation vigor and land-cover change. C_LIO_LIPost-fire recovery trajectories are shaped by fire severity, vegetation physiognomy, plant functional types, and soil conditions. C_LIO_LITargeted restoration and management interventions informed by spatial-temporal vegetation patterns are urgently needed. C_LIO_LIThe proposed framework aligns with objectives of the EU Nature Restoration Regulation for ecosystem and habitat recovery. C_LI

The non-consumptive use of sea turtles has become a rapidly growing sector of the global tourism industry and is increasingly recognised as an important source of economic benefit for coastal communities. In the Maldives, however, the socio-economic value of sea turtles remains poorly quantified. Building on a preliminary survey conducted in 2019, this study provides a comprehensive assessment of the socio-economic value of sea turtles to the tourism industry, post-pandemic, while identifying sea turtle viewing hotspots with high tourism pressure that may require stricter regulation. Questionnaires collected information on operations related to sea turtle excursions in 2022, including the estimated direct spend on sea turtle excursions and the perceived value of sea turtles to tourists and operators. Results include responses from 117 tour operators across 20 atolls in the Maldives, with 68% from resort operators, 27% from local island operators, and 5% from liveaboards. Maldivian nationals made up 55% of respondents and 78.8% of the people working, directly or indirectly, on sea turtle excursions in 2022. The direct revenue generated by sea turtle tourism in the Maldives is estimated at US$10.9-14.4 million in 2022, with individual turtles at high-use sites generating up to US$29,709 per year. These findings underscore the significant economic and social importance of sea turtles to the tourism industry in the Maldives, matching that of manta rays and sharks, and highlights the need for improved conservation efforts to safeguard local sea turtle populations and their associated benefits for Maldivian communities.

OBJECTIVE To examine parents perceptions regarding the introduction of a social media ban for children and to identify factors associated with these attitudes. METHOD A cross-sectional study was carried out in Greece in April 2026. Potential predictors of parents views on a social media ban included (a) sociodemographic variables (such as gender, age, educational attainment, and financial status), (b) social media usage patterns (number of accounts, daily usage duration, and posting frequency), and (c) level of political engagement (how often participants follow political news and discuss political issues). Outcome variables comprised parents agreement with the ban, level of awareness about its implementation, perceived necessity for additional measures, confidence in the ban effectiveness, perceived effects on children lives, and parents familiarity with digital parental control tools. RESULTS Overall, 68.0% of parents supported implementing a social media ban for children under 15. A large majority (91.8%) expressed the need for more governmental information regarding the ban. Additionally, 89.3% believed that further measures beyond the ban are required to effectively address the issue. Suggested measures included digital literacy courses in schools (86.1%), active parental involvement in digital literacy (74.6%), prohibition of inappropriate content (77.9%), reasonable parental limits on social media use (73.8%), and restriction of addictive platform features (73.0%). Older parents demonstrated greater confidence in the effectiveness of the ban. Furthermore, age, financial status, number of social media accounts, and time spent online were positively associated with perceived impacts of the ban. Younger age was linked to greater parental familiarity with digital control tools, while having more social media accounts was also positively associated with such familiarity. CONCLUSIONS There is a clear need for comprehensive, evidence-based policy approaches that combine regulation, education, and shared responsibility among stakeholders. Policymakers should leverage existing public support for child protection while investing in digital literacy initiatives, empowering parents, and strengthening regulatory oversight of social media platforms to achieve long-term and equitable results.

Greenspace has been associated with a wide range of health outcomes and conditions related to functional limitation and disability. Yet less is known about how the spatial morphology of greenspace relates to disability prevalence across different stages of the life course. This study examines associations between greenspace morphology and disability prevalence among children, working-age adults, and older adults in urban census tracts across the contiguous United States. Using national land-cover data, we quantified morphological metrics at the census-tract level, including greenspace percentage, density, mean size, connectedness, shape complexity, inter-greenspace distance, and diversity. These indicators were linked with age-specific disability prevalence obtained from the American Community Survey. Spatial lag regression models were used to account for spatial dependence while adjusting for socio-demographic and contextual characteristics. Across age groups, higher greenspace percentage was consistently associated with lower disability prevalence (children: {beta} = -0.081, 95% CI: -0.096 to -0.066; adults: {beta} = -0.804, -0.858 to -0.750; older adults: {beta} = -1.132, -1.250 to -1.013). Among children, patch density ({beta} = -0.045, -0.061 to -0.029), mean patch area ({beta} = -0.029, -0.040 to -0.018), connectedness ({beta} = -0.051, -0.069 to -0.032), diversity ({beta} = -0.036, -0.051 to -0.020), and inter-greenspace distance ({beta} = 0.056, 0.039 to 0.073) were all associated with disability prevalence, whereas shape complexity was not ({beta} = 0.004, -0.010 to 0.018). Among working-age adults, associations were observed for mean area ({beta} = -0.023, -0.090 to -0.002), connectedness ({beta} = -0.127, -0.243 to -0.011), shape complexity ({beta} = -0.123, -0.174 to -0.072), diversity ({beta} = -0.146, -0.201 to -0.091), and inter-greenspace distance ({beta} = 0.151, 0.059 to 0.242), whereas patch density was not significantly associated with disability prevalence ({beta} = -0.013, -0.048 to 0.022). In older adults, all examined greenspace morphology metrics showed significant associations with disability prevalence, including patch density ({beta} = -0.445, -0.842 to -0.049), diversity ({beta} = -0.126, -0.188 to -0.065), and inter-greenspace distance ({beta} = 0.455, 0.409 to 0.501). Overall, the findings suggest that higher greenspace percentage, larger patch size, greater connectedness, greater diversity, and more spatially clustered greenspace distributions are associated with lower disability prevalence across the life course, although the strength and consistency of these associations varied across age groups. The study provides national-scale evidence for incorporating greenspace morphology into urban planning and public health strategies to support more inclusive and health-supportive urban environments.

Effective group work is central to Problem-Based Learning (PBL) in higher education, yet the optimal strategy for forming student groups remains unclear. This study compared MBTI based grouping, informed by personality types and Keirsey temperaments, with Learning Style Based (LSB) grouping, grounded in Kolbs Experiential Learning Theory, to assess their impact on group functioning and role performance. Participants were undergraduate students enrolled in Cell Biology (Fall 2022 and Fall 2023) and Introduction to Biology Laboratory (Fall 2023) courses. Students completed MBTI and Kolb Learning Style assessments, and groups and roles (Leader, Communicator, Organizer) were assigned accordingly. Results indicated that LSB-based groups consistently outperformed MBTI-based groups across multiple performance metrics, including productivity, listening, sense of safety, belonging, and overall satisfaction. All metrics showed statistically significant decreases in MBTI based groups except contribution, which did not differ significantly between grouping strategies. Role performance ratings were significantly higher for Leaders and Communicators in LSB groups, while no significant differences were observed for the Organizer role. Correlation analyses revealed that satisfaction was strongly associated with perceived productivity in MBTI based groups, whereas in LSB based groups, satisfaction was more strongly correlated with psychological safety. These findings suggest that learning style alignment may better support effective collaboration and group climate in PBL settings than personality based grouping.

Governments, civil society organizations and businesses often lack the biodiversity data they need for decision-making and adaptive management, impacting their planning, reporting and performance. We explored the biodiversity data needs of such actors in Colombia, Ghana and Switzerland to identify factors affecting data availability and use. Responses to questionnaire surveys showed that the data types with the biggest gaps between user needs and access were progress on conservation or sustainability actions, species populations, habitat state and ecological risk. The most frequent data blockages related to inadequate resources and organizational capacity. Obstacles significantly associated with a lack of primary data included an absence of organizational biodiversity goals and monitoring systems. Problems accessing habitat quality and species abundance data were associated with data collection methods being unknown or unavailable. Businesses were more likely than other groups to need data on threats, perhaps reflecting the increasing importance of environmental risk to the corporate sector. Businesses are less likely to collect primary data or use secondary data and are significantly more likely to be unclear on what biodiversity indicators to use. Non-business organizations are significantly more likely to be unable to access data because of a lack of funding for data collection, analysis, and use. Our results highlight the need for stakeholders across sectors to work together to find common solutions to build and invest in monitoring capacity that unblocks the flow of biodiversity data.

Wildfire regimes in Mediterranean landscapes are undergoing significant changes due to the combined effects of land-use transitions and climate change. In particular, land abandonment increased fuel availability, the expansion of the wildland-urban interface increased ignition frequency, while climate change increases the chances of fire-weather conditions and reduces vegetation recovery capacity. This study presents a modelling framework to investigate the coupled dynamics of fire and vegetation under different fire regimes scenarios, using a case study in central Italy (Monte Pisano). The approach integrates two cellular automata models for vegetation dynamics (Batllori et al., 2017) and for fire-spread (PROPAGATOR; Trucchia et al., 2020). The vegetation model represents succession among six functional classes, including grasslands, shrubs, and trees with different fire-response strategies (seeders and resprouters), while explicitly accounting for post-fire recovery processes. The model was calibrated for the area using historical fire perimeters and vegetation maps over 40 years. Fire spread is simulated probabilistically using PROPAGATOR, driven by fuel types, topography, and weather conditions. A stochastic coupling was implemented by sampling fuel classes from vegetation composition, and by feeding simulated burned areas back into the vegetation model, thus enabling dynamic fire-vegetation feedback. Future wildfire scenarios are constructed by linking ignition probability to fire-weather conditions derived from historical reanalysis data (1981-2023). Extreme fire events are defined based on thresholds of wind speed and fuel moisture, and their probability of occurrence is varied across scenarios to represent increasing climate-driven risk. Simulations are performed over a 100-year horizon starting from current vegetation conditions. Results show that, in the absence of fire, vegetation dynamics lead to dominance of late-successional, fire-resilient species (resprouters). This is particularly evident for low probabilities of extreme fire events, with fire impacts diminishing over time as landscapes become less flammable. However, increasing the frequency of extreme fire conditions resulted in persistent disturbance, maintaining higher proportions of shrubs and early successional vegetation, and sustaining elevated burned areas over time. Overall, the study shows that coupling fire spread and vegetation dynamics provides a useful framework for exploring long-term ecosystem trajectories under climate change. The results highlight the critical role of extreme fire events in shaping landscape resilience and suggest that future management strategies should account for fire-vegetation feedbacks to support more stable and less fire-prone ecosystems.

Clinical decision-making is a critical competency for nurses, particularly in resource-constrained healthcare systems where frontline practitioners must integrate clinical knowledge, judgment, and contextual constraints to ensure optimal patient outcomes. Although prior research highlights the benefits of artificial intelligence (AI)-supported learning and individual competencies, it largely assumes a direct relationship between technological support and decision quality, overlooking the cognitive-regulatory mechanisms through which such effects occur. This study addresses this gap by examining self-care competence as a mediating pathway linking perceived AI-based learning support to enhance clinical decision-making among nurses in Benue State, Nigeria. A descriptive cross-sectional design was employed, with data collected from 600 registered nurses across public and private healthcare facilities using the Self-Care Competence Scale (SCCS), AI-Based Learning Support Scale (PAILS) and the Clinical Decision-Making Scale (CDMNS). Data were analyzed using structural equation modelling (SEM) to test direct and indirect relationships, complemented by bootstrapped mediation analysis and rigorous assessment of common method bias through Harmans single-factor test and full collinearity variance inflation factors, ensuring robustness of the findings. Results indicated moderately high levels of self-care competence, perceived AI-based learning support, and enhance clinical decision-making skills. Self-care competence and AI-based learning support significantly predicted clinical decision-making, with self-care competence partially mediating this relationship and the model explaining 58 percent of the variance. The findings extend theory by demonstrating that AI-supported learning enhances enhance clinical decision-making not directly, but through nurses cognitive and psychological readiness, positioning self-care competence as a central mechanism in evidence-based practice.

The focus was on leadership, mentoring and promotion. Using short, structured activities alongside small-group discussion, the participants were encouraged to reflect on leadership, mentoring and the perceived gap between being ready and being recognised for promotion. Descriptive survey findings and free-text reflections highlight the demand for structured peer support, reciprocal mentoring opportunities, and clearer, more transparent promotion processes. Following the event, we performed a structured review of the impact. This highlighted that the workshop participants reported that the event allowed for greater self-awareness into their own leadership approaches, a stronger commitment to purposeful mentoring, and greater confidence and renewed motivation to take concrete steps towards promotion.

The Natura 2000 network for protected areas is one of Europes main tool to address the loss of Biodiversity. Voluntary commitments of all 27 Member States aim for an extension to 30% of the European land and sea area by 2030. Despite the substantial efforts towards improving declining species and habitats across the continent and the limited success in measured improvements of biodiversity trends in the protected areas, the potential issue of fragmentation and configuration of the documented Natura 2000 sites has not been analysed in depth. This study presents an analysis of the full Natura 2000 data set of terrestrial and marine protected areas in Europe, to which extent documented sites are split up into smaller fragments, how their spatial configuration and shape might mitigate or invite edge effects, and which edge effects might be expected based on the surrounding land cover and land use matrix. Our results show a substantial fragmentation of the network, with four times more individual patches than recorded sites, and 75% of these patches being smaller than 1 km2. Across four size categories between smaller than 1 km2 and larger than 100 km2, about a quarter of patches show a spatial configuration that is likely to cause substantial edge effects due to a suboptimal ratio between area and perimeter. At the same time, many of the smallest patches are surrounded by a large share of sealed surfaces and agricultural areas within a 500m radius. Considering fragmentation and edge effects in future reporting, monitoring and planning of additional designations and restoration activities could close an important gap in understanding causes for continuing declines of Europes biodiversity and highlight pathways to mitigate them.

Seismic shifts within academia over the last several decades have seen the growth of biomedical PhD recipients alongside the relative stagnation of tenure-track research-intensive faculty careers (RIFCs). This hypercompetitive academic job market has prompted interest in the paths of those who attain RIFCs. Understanding what drives recent biomedical PhDs to make their career decisions and persist toward them requires a clear picture of how career perceptions, motivations, and intentions develop and crystallize over time. Using annual in-depth interviews across nearly two decades, this report explores the evolution of career thinking and differentiation among 40 who attained a RIFC from diverse starting points to their attainment of a RIFC. Participants strategies for navigating early scientific experiences were patterned by their varied educational and socioeconomic backgrounds. Nearly half of participants did not start with or maintain stable interest in RIFCs, exhibiting changes in both PhD and postdoctoral phases. Participants highlighted six drivers toward RIFCs including desire for independence/autonomy and contributing to knowledge/health. Our results are instructive for trainees and mentors guiding career exploration and differentiation.

Objectives To explore the prevalence, spatial aggregation, and demographic correlates of climate change awareness among adults in Nigeria, as well as impacts on humanitarian health preparedness. Design Nationally representative cross-sectional survey with multivariate logistic regression and Global Moran's I and LISA techniques of spatial autocorrelation analyses was applied. Setting All 36 states and the Federal Capital Territory, Nigeria. Participants 1,600 adults drawn from the Afrobarometer Round 9 nationally representative survey. Interventions None. Main Outcome Measures Prevalence, spatial aggregation, and demographic correlates of climate change awareness among adults in Nigeria, and impacts on humanitarian health preparedness. Results Less than one in three Nigerians (30.1%) was aware of climate change, significantly lower than the 65% found in the continent, and education is the most predictive factor, with tertiary-educated Nigerians more than ten times more likely to be aware of climate change than those with no formal education. Most critically, the poor performance in government climate policies is not found in low-awareness states, but in two geographically distinct risk corridors based on a different mechanism and requiring a different policy response. Conclusions The finding shows that the gap in climate awareness is not a communication problem, it is a structural problem - one that requires a national intervention to reduce and close, but that might not be enough because of educational inequality, gender disparity and geographic marginalization. To prepare the country for humanitarian needs, targeted state-level, gender-responsive programming based on Nigeria's Climate Change Act 2021 is required, and effective intervention to make adaptation to the health impacts of climate change happen will need to start with triggering awareness into adaptive health action before climate hazards surpass the country's humanitarian response capacity. Registration Not applicable. Keywords: Climate change awareness; spatial autocorrelation; humanitarian health preparedness; educational inequality; Nigeria

As the United Kingdom (UK) targets net-zero emissions by 2050, anaerobic digestion (AD) has become a cornerstone of renewable energy infrastructure. However, mathematical models, such as the Anaerobic Digestion Model No. 1 (ADM1), often struggle with high-solids agricultural feedstocks because they rely on Chemical Oxygen Demand (COD), a metric that introduces significant experimental error. To overcome this, this study applies an established mass-based ADM1 framework tailored for the co-digestion of maize silage and cow manure sourced from a UK AD site. This study uses a parallel reactor framework, using two identical laboratory-scale reactors to physically replicate the dynamic conditions of the full-scale site. A Global Sensitivity Analysis was first conducted, identifying biomass decay and carbohydrate breakdown rates as the most influential factors affecting system stability and model accuracy. The model was calibrated using data from the first reactor and then tested against an independent second reactor subjected to significant organic loading stress. Results show high predictive capabilities, with the model achieving a R2 of 0.81 for biogas production during calibration. The model maintained high predictive accuracy during the validation test of the second physical twin, achieving an R2 of 0.85, proving that the framework is robust and not overfitted to a single dataset. While predicting rapid fluctuations in pH and alkalinity remains challenging, the mass-based approach effectively forecasts gas yields and process stability. This methodology provides a reliable foundation for robust process modelling, offering a scalable tool for the UK biogas sector to optimise AD. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=93 SRC="FIGDIR/small/721061v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@92c7e2org.highwire.dtl.DTLVardef@80d723org.highwire.dtl.DTLVardef@ac3d24org.highwire.dtl.DTLVardef@1e21a51_HPS_FORMAT_FIGEXP M_FIG C_FIG

Natural forests are increasingly being replaced by plantation forests, highlighting an urgent need to reconcile forest use and biodiversity conservation. Coastal forests serve as refugia for species of conservation concern, but they have been globally replaced by plantations, and conversion remains ongoing. As natural coastal forests become increasingly scarce, opportunities for direct biodiversity comparisons with coastal plantations are also disappearing. This scarcity leads to underestimation of the conservation value of natural coastal forests, while effective management measures to conserve biodiversity within coastal plantations remain poorly developed. By focusing on the largest natural coastal forests in Japan, we assessed whether plantation coastal forests can substitute for natural coastal habitats across multiple taxonomic groups, functional groups, and threatened species. We found that plantations supported bird species richness comparable to natural forests at the community level and for threatened species. Surveyed plantation forests supported 7% of global breeding populations of the endangered Brown Shrike. However, plantations hosted lower forest plant species and higher introduced plant species richness. Plantations also significantly altered coastal zonation patterns in plant communities: forest species distribution shifted seaward, whereas coastal and introduced species shifted landward. Coastal plantations are unlikely to be complete substitutes for natural coastal forests for plant species, yet still have the potential for restoring historically lost coastal forest ecosystems. Confining further plantation activities to landward areas and plantations with low canopy cover will mitigate the negative impacts of plantations and further conserve unique coastal communities where forest and grassland species can coexist. Highlight{checkmark} Coastal forests have been historically disturbed and converted to plantations {checkmark}We test whether coastal plantations can substitute for natural forests across taxa {checkmark}Bird species richness in plantations was comparable to that in natural forests {checkmark}Plant species richness was lower in plantations and zonation patterns were altered {checkmark}Considering zonation patterns can turn plantations into restoration opportunities

This study investigated how different forms of task influence the oral performance of Chinese second-language learners and native speakers. By analyzing data from 40 Chinese second-language learners and 40 native speakers through picture description tasks, formal and informal questions, and questions with different emotions (happy and unhappy), it was found that different task characteristics significantly affected language performance. Short picture tasks led to higher communication efficiency and noun rates but more errors, while long story tasks showed higher verb rates, function word rates, etc. Formal questions had more characters and nouns but lower communication efficiency compared to informal ones. Also, happy emotion questions resulted in fewer characters, sentences, and errors than unhappy emotion questions. These findings contribute to the theoretical understanding of task-based language performance in Chinese as a second language and offer practical implications for teaching, textbook compilation, and student evaluation.

Urban green spaces are increasingly recognised as important refuges for biodiversity, yet their ecological value depends strongly on design and management. Here, we investigate how fine-scale structural and microhabitat components shape urban ant assemblages, using ants as indicators of broader arthropod responses to urbanisation. Ant communities were sampled in twelve urban green spaces in Cordoba (southern Spain) over a ten-year period (2004 to 2013) using pitfall traps, alongside detailed characterisation of vegetation structure and ground-layer microhabitats. In total, 38 species and 25,578 individuals were recorded. Microhabitat variables explained 58% of the variation in species occurrence. Community differences among microhabitats were driven primarily by nestedness, with dense herbaceous cover acting as a core habitat and edge-related components contributing disproportionately to beta diversity. Tree abundance showed a unimodal relationship with species richness, with maximum diversity at intermediate densities, while shrub and lawn cover had weak or inconsistent effects. Fine-scale elements such as leaf litter, stones, woody debris, and small bare-ground patches strongly influenced species occurrence by providing thermal refugia, nesting substrates, and foraging opportunities. The invasive Argentine ant (Linepithema humile) exhibited strong but spatially restricted dominance and species-specific negative effects on native ants, emphasising the role of habitat context in mediating invasion impacts. Our results demonstrate that urban biodiversity is maximised by enhancing fine-scale habitat heterogeneity rather than increasing green cover alone. We highlight practical design principles for urban green infrastructure that prioritise structural diversity and ground-layer complexity to support resilient arthropod communities.