Levels Of Diversity Research Articles

Modified fragility functions for offshore wind turbines considering soil-structure interaction subjected to wind, wave, and seismic loads

Investment allocation for offshore wind turbines (OWT) as an important class of structures is typically carried out through supporting decision-making approaches utilizing some fragility functions. This study attempts to deliver fragility functions for OWTs on monopile foundations accounting for soil-structure interaction (SSI) effects. Simultaneous wind, wave, and earthquake loads were considered probabilistically by adjusting their occurrence hazard levels for predefined damage states in diverse performance levels. The designated damage states in this study are defined based on collapse probability and some targeted performance levels which could be very straightforward to distinguish. The damage state detection is based on rotation in the connection section of the tower’s transition part to the foundation, which perceptibly reveals the effects of SSI on fragility functions. The expected results comprise modified fragility functions accounting for SSI effects contributing to less median spectral acceleration, more evidently rotational demands, further dispersions, and a subsequent dominant increase in the probability of exceeding performance limit states. Considering operational performance level, the most applied design performance level for turbines as an important class of structures, not considering the SSI effects could noticeably underestimate the demands and lead to high-risk decisions.

SP7.10 - Awareness and Knowledge of Medical Coding Education Amongst Vascular Surgeons: A National Survey

Abstract Aims Accurate medical coding plays a critical role in optimising healthcare delivery, facilitating appropriate reimbursement, supporting research and data analysis, and providing a foundation for public healthcare databases and policies. This survey aims to explore the familiarity and comprehension of medical coding among vascular surgeons. Methods Ninety-five responses were gathered from participants across diverse levels of vascular surgery. A notable 77.7% (n=73) of respondents indicated a lack of formal training in medical coding. Additionally, 70.5% (n=67) of vascular surgeons advocated for including medical coding within surgical training programs. Regarding assessing medical coding proficiency, 61.1% (n=55) correctly identified ‘BSS’ as an example of non-medical coding classification. Moreover, 67.7% (n=63) accurately recognised ‘OPCS-4’ as the classification system employed by the NHS for coding surgical procedures. Results Ninety-five questionnaire responses were collected from participants working in vascular surgery of various levels. A notable 77.7% (n=73) of the participants reported receiving no formal training in medical coding. Additionally, 70.5% (n=67) of vascular surgeons expressed that medical coding should be included in surgical training. Regarding assessing medical coding knowledge, 61.1% (n=55) of respondents correctly identified ‘BSS’ as the non-example of medical coding classification. When asked about the classification system used by the NHS to code surgical procedures, 67.7% (n=63) correctly identified ‘OPCS-4.’ Conclusion The study's findings reveal the need for more awareness, knowledge, and formal training in medical coding. Augmented education and training in medical coding, potentially through concise courses, are imperative for ensuring equitable reimbursement for healthcare services, facilitating data analysis for research and quality enhancement endeavours, and fostering effective inter-professional communication within the healthcare domain.

Ortho to para hydrogen conversion over bimetallic iron and cobalt catalysts

The catalytic conversion of ortho-hydrogen (o-H2) to para-hydrogen (p-H2) serves as a crucial step in the storage of liquid hydrogen. A variety of iron-cobalt bimetallic catalysts (FCO) were synthesized using a precipitation method, incorporating diverse levels of Co doping into Fe-based catalysts. The effects of Co doping on the crystal structure, porosity, and magnetism of FCO catalysts were studied by XRD, N2 physical adsorption, FTIR, XPS, and VSM analyses. The efficiency of ortho-para hydrogen conversion over FCO at 77 K was evaluated. It was found that the catalyst’s lag coefficient was significantly improved by Co doping, leading to an increase of magnetic moment. The catalyst of FCO-5 with a Fe/(Fe + Co) molar ratio of 0.5 exhibited the highest activity in ortho-para hydrogen conversion. The corresponding conversion rate, outlet p-H2 content, and the reaction rate constant were 99.2%, 49.7% and 291.7 mol·L−1·s−1, respectively, under a gas hourly space velocity of 5400 h−1.

Previously unmeasured genetic diversity explains part of Lewontin's paradox in a -mer-based meta-analysis of 112 plant species.

At the molecular level, most evolution is expected to be neutral. A key prediction of this expectation is that the level of genetic diversity in a population should scale with population size. However, as was noted by Richard Lewontin in 1974 and reaffirmed by later studies, the slope of the population size-diversity relationship in nature is much weaker than expected under neutral theory. We hypothesize that one contributor to this paradox is that current methods relying on single nucleotide polymorphisms (SNPs) called from aligning short reads to a reference genome underestimate levels of genetic diversity in many species. To test this idea, we calculated nucleotide diversity ( ) and -mer-based metrics of genetic diversity across 112 plant species, amounting to over 205 terabases of DNA sequencing data from 27,488 individual plants. We then compared how these different metrics correlated with proxies of population size that account for both range size and population density variation across species. We found that our population size proxies scaled anywhere from about 3 to over 20 times faster with -mer diversity than nucleotide diversity after adjusting for evolutionary history, mating system, life cycle habit, cultivation status, and invasiveness. The relationship between -mer diversity and population size proxies also remains significant after correcting for genome size, whereas the analogous relationship for nucleotide diversity does not. These results suggest that variation not captured by common SNP-based analyses explains part of Lewontin's paradox in plants.

Diversity, functional redundancy, and vulnerability of reef fish communities of the Saudi Arabian coast, in the northern Red Sea

In light of the current development of several giga-projects along the Saudi Red Sea coast, understanding the health status of coral reefs is paramount to developing baselines and management strategies to minimize the human impact on these ecosystems. Here, we present an assessment of the diversity, functional redundancy, and vulnerability for coral reef fish communities in the northern Red Sea. The focus area of our study falls within the marine jurisdiction of the NEOM giga-project. We performed fish surveys with three different methods aiming to cover a wide set of habitats and thus capture a comprehensive picture of the regional diversity: i) standardized belt transects, ii) roving diviersity surveys, and iii) collection of cryptobenthic fish. Our results showed a highly variable community composition along the ten surveyed sites highlighting Sindalah as an essential site for piscivore species, Al Muwaileh as an important site for herbivores, and Sanafir-Tiran as the most diverse site. Functional diversity analysis revealed similar levels of redundancy, over-redundancy, and vulnerability among sites. Functional richness, evenness, and divergence did not vary substantially between sites and, in general, indicated that the fish communities in the selected sites present mid to low levels of functional diversity. We further compare regional-scale and site-specific functional assessments. Notably, some of the species groups that are functionally redundant at the regional scale represented vulnerable functions at the site level. These results call to attention the need to create site-specific conservation strategies and not to solely rely on regional diviersity assessments as the basis for management decisions.

Assessing digital transformation using fuzzy cognitive mapping supported by artificial intelligence techniques

The digital transformation process aims to align people, machines, and technologies in interactive systems, prompting businesses to adapt their models for competitiveness. Understanding and implementing digital transformation becomes crucial for organizations to integrate physical and virtual systems throughout their operations. The study presents a comprehensive model emphasizing intelligent technology, organization, and manufacturing as essential criteria. Integrating fuzzy cognitive maps and fuzzy DEMATEL methods, the study captures complex relationships and employs a dynamic analysis involving three firms in the defense industry. Results showcase the companies' diverse digital transformation levels, assessed through scenarios and predictive analyses. Additionally, a sensitivity analysis underscores the impact of adjustments to the top three criteria, aiding businesses in deciding their transformational starting points. This integrated method, underpinned by fuzzy cognitive maps and artificial intelligence, emerges as a decision support system and a roadmap for enterprises navigating digital transformation.

Assessing the phenological state of evergreen conifers using hyperspectral imaging time series

Phenology is a reliable indicator of vegetation condition and ecological changes in the environment. Plant Spectral Phenology (PSP) offers the potential for the development of automated, rapid, and wide-area vegetation monitoring systems. The spectral characteristics of plants (vegetation) are employed as metrics of PSP, which can be sensed both proximally and remotely. A key objective is to undertake a comparative analysis of the results of PSP versus those of phenology based on visual observations. The resolution of this issue is of paramount importance for the coordination of phenological studies at diverse levels (ground, surface, and remote), thus ensuring the continuity of phenological studies conducted prior to the advent of PSP. This issue is particularly pronounced in the case of evergreen conifers. The present study focuses on four evergreen conifers: Thuja occidentalis, Platycladus orientalis, Pinus sylvestris and P. nigra subsp. pallasiana. Hyperspectral imaging was performed under laboratory conditions using a Cubert UHD-185 hyperspectral camera. Concomitantly, phenological observations were conducted. The spectral time series yielded 79 chlorophyll-sensitive and carotenoid-sensitive Vegetation Indices (VIs), which were then used to construct double logistic functions. A significant proportion of the VIs exhibited a high degree of correctness with regard to the aforementioned functions, as indicated by the value of R2 exceeding 0.7. The values of the principal stages of seasonal development of evergreen conifers, namely the Start of Season (SOS), End of Season (EOS), Position of Peak value (POP) and Length of Season (LOS), were calculated using double logistic functions. These stages were matched to the phenological phases of development of the experimental plants. The values of SOS, EOS, POP and LOS varied significantly depending on the VIs used as a metric as well as the evergreen conifers. The lowest variability by metrics is observed in SOS, while the maximum is observed in EOS and POP. The results obtained may be of importance for the choice of criterion for the comparison of PSP with phenology based on visual observations and the most suitable VIs for these purposes.

Genetic diversity and virulence properties of caprine Trueperella pyogenes isolates

BackgroundTrueperella pyogenes is an opportunistic pathogen that causes suppurative infections in various animal species, including goats. So far, only limited knowledge of phenotypic and genotypic properties of T. pyogenes isolates from goats has been gathered. In our study, we characterized the phenotypic and genotypic properties of caprine T. pyogenes isolates and established their relationship by Random Amplified Polymorphic DNA-Polymerase Chain Reaction (RAPD-PCR).ResultsFrom 2015 to 2023, 104 T. pyogenes isolates were obtained from 1146 clinical materials. In addition, two T. pyogenes isolates were obtained from 306 swabs collected from healthy goats. A total of 51 T. pyogenes isolates were subjected to detailed phenotypic and genotypic characterization. The virulence genotype plo/nanH/nanP/fimA/fimC/luxS was predominant. All of the tested isolates showed the ability to form a biofilm but with different intensities, whereby most of them were classified as strong biofilm formers (72.5%). The high level of genetic diversity among tested caprine T. pyogenes isolates (19 different RAPD profiles) was observed. The same RAPD profiles were found for isolates obtained from one individual, as well as from other animals in the same herd, but also in various herds.ConclusionsThis study provided important data on the occurrence of T. pyogenes infections in goats. The assessment of virulence properties and genetic relationships of caprine T. pyogenes isolates contributed to the knowledge of the epidemiology of infections caused by this pathogen in small ruminants. Nevertheless, further investigations are warranted to clarify the routes of transmission and dissemination of the pathogen.

GENETIC DIVERSITY AND POPULATION STRUCTURE OF JUNIPERUS SERAVSCHANICA KOM. IN CENTRAL ASIA REVEALED BY MICROSATELLITE MARKERS

Juniperus seravschanica Kom. is a widely distributed and significant tree species in Central Asia, thriving in the mountain ranges from Oman to Uzbekistan, Kyrgyzstan, and Kazakhstan. It plays a vital role in forming shrub-forest massifs in mountainous regions, contributing to soil drainage and stabilization at medium to high altitudes. To gain a detailed understanding of the current status of J. seravschanica and to develop effective conservation strategies, a comprehensive study of the species' genetic diversity and population structure was conducted. Leaf samples were collected from 15 J. seravschanica populations across Uzbekistan, Kyrgyzstan, and Kazakhstan to assess genetic diversity and population structure. Using 11 polymorphic simple sequence repeat (SSR) markers, genetic diversity parameters such as the number of alleles, the number of effective alleles, the percentage of polymorphic loci, and Nei's genetic diversity index were evaluated. Nei's genetic diversity index for J. seravschanica populations averaged 0.450, ranging from 0.407 to 0.566. The AMOVA revealed that 90.3% of the total genetic variation was within populations, indicating a high level of genetic diversity within each population. Gene flow, calculated using alleles from all populations, was estimated at 4.654. Population structure analysis showed weak clustering among the studied populations, supporting the AMOVA findings. This study provides valuable insights into the genetic diversity and population structure of J. seravschanica in Central Asia. The high genetic diversity within populations suggests a strong adaptive capacity to environmental changes. These findings can be effectively utilized to develop conservation strategies for J. seravschanica, ensuring the long-term sustainability of this important tree species in Central Asia. This work was supported by Grant No.AP09259027 of the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan.

Investigating the effect of manipulatives on mathematics achievement: The role of concrete and virtual manipulatives for diverse achievement level groups

This study investigates the impact of integrating both concrete and virtual manipulatives on the mathematics achievement of fifth-grade students across different achievement levels (low, average, and high). Utilizing a quasi-experimental design with pre- and post-tests, a convenience sample of fifth-grade students was randomly assigned to either a control or experimental group. The data collection instruments, consisting of separate pre- and post-tests on the same mathematical concepts, underwent thorough validity and reliability testing. Initial assessments demonstrated that the achievement levels between the control and experimental groups were comparable prior to the intervention. The experimental group received instruction that incorporated both concrete and virtual manipulatives, whereas the control group followed traditional teaching methods. Following a 12-week intervention period, a post-test was administered. The data were analyzed using parametric paired-sample t-tests and one-way ANCOVA, ensuring that all underlying assumptions were satisfied. The findings revealed significant improvements in post-test scores among students in the experimental group, regardless of their initial achievement levels. Although low-achieving students in the control group also showed progress, their gains were less substantial compared to those in the experimental group. This study highlights the potential benefits of incorporating both concrete and virtual manipulatives in fifth-grade mathematics instruction to enhance academic achievement.

Dynamics of spontaneous mutations: implications of guanine–cytosine tautomers on chromatin integrity

This study investigates the origin and implications of spontaneous mutations within DNA, focusing on the dynamics of guanine–cytosine (GC) base pairs. We propose inter – and intramolecular hydrogen transfer as potential mechanisms for the formation of rare tautomers, which can significantly impact the structural conformity and operational integrity of chromatin. The nitrogenous bases in DNA are pivotal for genetic coding and protein synthesis, while chromatin plays a fundamental role in DNA compaction, organisation, gene expression control and genome integrity preservation. Our research identifies 56 previously unrecorded guanine–cytosine tautomers and explores diverse potential energy levels, leading to the discovery of 67 transition states across pathways. These transitions involve five distinct types of hydrogen transfer: N-H→N, N-H→O, N-H→C, C–H→N and O-H→N. Utilising an innovative approach, we establish a Markov chain to assess the probability of molecular production from the same source, unveiling insights into transitional dynamics. Furthermore, our study facilitates the identification of tautomers capable of swift conversion to the GC1 base pair, which is dependent on transition states and molecular pathways. Our findings contribute to a deeper understanding of spontaneous mutations and their impact on chromatin integrity, offering valuable insights for further research in this field.

Limited role of fungal diversity in maintaining soil processes in grassland soil under concurrent fungicide stress

BackgroundFungicides are an effective tool for protecting crops and maintaining a steady food supply. However, as pathogens continue to evolve, it is crucial to prolong the effectiveness of fungicides by delaying resistance development. A key strategy to achieving this is to combine or rotate fungicides with different modes of action. As fungicides lack specificity, they inevitably affect both pathogenic and non-pathogenic fungi when surrounding environments are unintentionally contaminated. Our study aims to investigate the effects of recommended application methods to prevent resistance development, specifically repeated-single fungicide, simultaneous mixture, and sequential applications on non-target soil fungi, and the subsequent impacts on important soil processes. We used fungicides with different modes of action on soil microcosms inoculated with fungi at varying levels of diversity (3, 5, and 8 species) isolated from a protected grassland.ResultsWe found that repeated treatments of individual isopyrazam and prothioconazole differentially inhibited fungal activity. Although mixture applications are considered more protectant against crop pathogen resistance than repeated application, our study revealed stronger negative effects of simultaneous application on saprobic fungi and consequently on soil processes. However, contrary to expectations, higher fungal diversity did not translate to improved soil function under these conditions.ConclusionsThe simultaneous application of fungicides with different modes of action (MoA) has more pronounced non-target effects on soil compared to the individual or sequential application of fungicides. These non-target effects extend beyond the intended control of pathogenic fungi, impacting saprobic and beneficial soil microbes and the critical processes they drive. When fungicides are applied concurrently, microbial activities in the soil are significantly altered, even in soils with high microbial diversity. Our study emphasizes the importance of carefully considering the unintended consequences of fungicide use in agriculture. As we strive for a secure food supply, it is crucial to investigate the broader environmental impacts of these chemical interventions, including their effects on non-pathogenic fungi and overall soil health.

A decision-making framework to maximise the evolutionary potential of populations - Genetic and genomic insights from the common midwife toad (Alytes obstetricans) at its range limits

Anthropogenic habitat modification and climate change are fundamental drivers of biodiversity declines, reducing the evolutionary potential of species, particularly at their distributional limits. Supportive breeding or reintroductions of individuals are often made to replenish declining populations, sometimes informed by genetic analysis. However, most approaches utilised (i.e. single locus markers) do not have the resolution to account for local adaptation to environmental conditions, a crucial aspect to consider when selecting donor and recipient populations. Here, we incorporate genetic (microsatellite) and genome-wide SNP (ddRAD-seq) markers, accounting for both neutral and putative adaptive genetic diversity, to inform the conservation management of the threatened common midwife toad, Alytes obstetricans at the northern and eastern edges of its range in Europe. We find geographically structured populations (n = 4), weak genetic differentiation and fairly consistent levels of genetic diversity across localities (observed heterozygosity and allelic richness). Categorising individuals based on putatively adaptive regions of the genome showed that the majority of localities are not strongly locally adapted. However, several localities present high numbers of private alleles in tandem with local adaptation to warmer conditions and rough topography. Combining genetic diversity and local adaptations with estimates of migration rates, we develop a decision-making framework for selecting donor and recipient populations which maximises the geographic dispersal of neutral and putatively adaptive genetic diversity. Our framework is generally applicable to any species, but especially to amphibians, so armed with this information, conservationists may avoid the reintroduction of unsuitable/maladapted individuals to new sites and increase the evolutionary potential of populations within species.

Responsive feeding practices among Arabic and Mongolian speaking migrant mothers in Australia: A qualitative study.

Establishing healthy feeding habits during infancy is crucial for optimal growth. However, certain parental feeding and cultural practices might hinder the development of children's healthy eating behaviours. This research explored responsive feeding practices among migrant mothers in Australia. Semi-structured telephone interviews were conducted in their native language with 20 Arabic and 20 Mongolian-speaking migrant mothers with children under 2 years old or currently pregnant. Thematic analysis was conducted using the framework method. Both cultural groups followed a variety of feeding practices, including on demand responsive feeding or structured schedules. Arabic-speaking mothers tended to demonstrate responsive feeding practices more frequently than Mongolian-speaking mothers, except for those using formula feeding, who consistently followed a fixed feeding routine. When introducing solid foods, mothers from both groups often overlooked their babies' hunger and satiety cues, frequently pressuring their children to finish their entire plate. One cited reason for this was the challenge parents faced in identifying such cues. Arabic-speaking mothers often supplemented with formula top-ups after introducing solid foods, due to the belief that breast milk or solid foods alone might not sufficiently nourish their infants. Additionally, some Arabic-speaking mothers used food-based rewards to encourage eating. Mongolian mothers expressed a cultural preference for chubby babies, a potential reason why they may have been inclined to pressure-feed their children. Moreover, both groups reported using digital devices to distract their children during meals. This study highlights the necessity of tailoring future resources and services related to responsive feeding practices to accommodate diverse literacy levels and cultural backgrounds.

ConvMambaSR: Leveraging State-Space Models and CNNs in a Dual-Branch Architecture for Remote Sensing Imagery Super-Resolution

Deep learning-based super-resolution (SR) techniques play a crucial role in enhancing the spatial resolution of images. However, remote sensing images present substantial challenges due to their diverse features, complex structures, and significant size variations in ground objects. Moreover, recovering lost details from low-resolution remote sensing images with complex and unknown degradations, such as downsampling, noise, and compression, remains a critical issue. To address these challenges, we propose ConvMambaSR, a novel super-resolution framework that integrates state-space models (SSMs) and Convolutional Neural Networks (CNNs). This framework is specifically designed to handle heterogeneous and complex ground features, as well as unknown degradations in remote sensing imagery. ConvMambaSR leverages SSMs to model global dependencies, activating more pixels in the super-resolution task. Concurrently, it employs CNNs to extract local detail features, enhancing the model’s ability to capture image textures and edges. Furthermore, we have developed a global–detail reconstruction module (GDRM) to integrate diverse levels of global and local information efficiently. We rigorously validated the proposed method on two distinct datasets, RSSCN7 and RSSRD-KQ, and benchmarked its performance against state-of-the-art SR models. Experiments show that our method achieves SOTA PSNR values of 26.06 and 24.29 on these datasets, respectively, and is visually superior, effectively addressing a variety of scenarios and significantly outperforming existing methods.

Mitochondrial phylogeography of grassland caterpillars (Lepidoptera: Lymantriinae: Gynaephora) endemic to the Qinghai-Tibetan plateau.

Grassland caterpillars (Lepidoptera: Lymantriinae: Gynaephora) are the most damaging pests to alpine meadows in the Qinghai-Tibetan Plateau (QTP). Here, we conducted extensive sampling from 39 geographic populations covering almost the entire distribution of the eight QTP Gynaephora (Hübner) species to investigate phylogeographic patterns and speciation based on two mitochondrial genes (COI and ND5). A total of 40 haplotypes were detected in the 39 populations, with >70% of all haplotypes not shared between populations. The monophyletic QTP Gynaephora migrated from non-QTP regions during the Pliocene, corresponding to the uplift of the QTP, suggesting a mode of transport into the QTP. Among the eight QTP Gynaephora species described by morphological characteristics, two species (G. alpherakii and G. menyuanensis) were recovered as monophyletic groups (Clades B and C), while the remaining six formed two monophyletic clades: Clade A (G. qinghaiensis, G. jiuzhiensis, and G. qumalaiensis) and Clade D (G. aureata, G. ruoergensis, and G. minora). These results suggested that the number of the QTP Gynaephora species may be overestimated and further studies based on both morphological and nuclear gene data are needed. Genetic differentiation and speciation of the QTP Gynaephora were likely driven by the QTP uplifts and associated climate fluctuations during the Pleistocene, indicated by divergence time estimation, suggesting that isolation and subsequent divergence was the dominant mode of speciation. The Sanjiangyuan region (i.e., Clade A, characterized by high genetic diversity) may have been a glacial refugium of the QTP Gynaephora, as supported by analyses of gene flow and biogeography. High levels of genetic diversity were found in QTP Gynaephora, without population expansion, which may explain the high-altitude adaptation and outbreaks of grassland caterpillars in alpine meadows of the QTP. This study provides the largest phylogeographic analysis of QTP Gynaephora and improves our understanding of the diversity and speciation of QTP insects.

Rampant intraspecific variation of plastid genomes in Gentiana section Chondrophyllae.

Exploring the level of intraspecific diversity in taxa experienced radiation is helpful to understanding speciation and biodiversity assembly. Gentiana section Chondrophyllae sensu lato encompasses more than 180 species and occupies more a half of species in the genus. In this study, we collected samples across the range of three species (Gentiana aristata, G. crassuloides and G. haynaldii) in section Chondrophyllae s.l., and recovered the intra-species variation by comparing with closely related taxon. Using 25 newly sequenced plastid genomes together with previously published data, we compared structural differences, quantified the variations in plastome size, and measured nucleotide diversity in various regions. Our results showed that the plastome size variation in the three Chondrophyllae species ranged from 285 to 628 bp, and the size variation in LSC, IR and SSC ranged from 236 to 898 bp, 52 to 393 bp and 135 to 356 bp, respectively. Nucleotide diversity of plastome or any of the four regions was much higher than the control species. The average nucleotide diversity in plastomes of the three species ranged from 0.0010 to 0.0023 in protein coding genes, and from 0.0023 to 0.0061 in intergenic regions. More repeat sequence variations were detected within the three Chondrophyllae species than the control species. Various plastid sequence matrixes resulted in different backbone topology in two target species, showed uncertainty in phylogenetic relationship based inference. In conclusion, our results recovered that species of G. section Chondrophyllae s.l. has high intraspecific plastome variation, and provided insights into the radiation in this speciose lineage.

The relationship between coral fish diversity and ecosystem services as an added value for the sustainable development: Evidence in Tanjung Lesung SEZ, Banten Province, Indonesia

Abstract This study aims to explore the relationship between the diversity of coral fish resources and ecosystem services as added value in the development of sustainable Special Economic Zones (SEZs). The existence of SEZs has become an economic focal point, making the balance of the natural environment increasingly crucial to support long-term economic growth. Data collection for this research was conducted through field surveys to assess the diversity of coral fish resources, including species, abundance, and distribution in Tanjung Lesung. The data was further analyzed to determine the added value of ecosystem services to SEZ development, which includes provisioning services and cultural services. The results of the study revealed a significant relationship between the diversity of coral fish resources and ecosystem services in the area. High levels of species and resources diversity positively contribute to food availability for communities, as well as enhancing cultural services, such as tourism. Additionally, coral fish naturally plays a vital role in maintaining ecosystem balance and ensuring the survival of other species in the food chain. The findings of this research provide a deeper understanding of the importance of sustainability and governance of coral fish resources in supporting the development of SEZs. This study also serves as a foundation for policy planning that focuses on responsible and sustainable utilization of coral fish resources to achieve balanced long-term economic development in harmony with aspect of environmental conservation.

Exploring Indonesian EFL students’ lexical diversity and its correlation with academic vocabulary use in an online academic writing environment

This paper reports on a quasi-experimental study designed to explore the relationship between lexical diversity and academic vocabulary use among Indonesian EFL university students engaging in online academic writing discussions and assignments. The study analysed 11,624 tokens and 5437 types collected from students' contributions in online discussions and academic writing assignments. Findings revealed that the level of lexical diversity among the students was significantly varied depending on the text length and the total amount of data. It was found most students were indicated to possess average ESL level of academic writing with a D value ranging from 50 to 70 while some others indicated a high level of adult ESL with developed academic text in the range between 70 and 80 D level. Moreover, it was also found that the degree of lexical diversity was not affected by the writing topic familiarity or students' academic year. Findings revealed a statistically significant negative correlation between measures of lexical diversity and academic vocabulary use. Contrary to expectations, while a diversified vocabulary generally correlates positively with student writing performance, this relationship reverses in contexts emphasizing the academic quality of writing. These results highlight the complex dynamics of lexical usage in academic writing and suggest that mere lexical diversity does not always equate to higher academic writing quality. This study contributes to a critical understanding of how lexical diversity functions in digital academic environments and offers implications for English language teaching practices in higher education settings.

Climate change vulnerability and conservation strategies for tertiary relict tree species: Insights from landscape genomics ofTaxus cuspidata.

The unprecedented habitat fragmentation or loss has threatened the existence of many species. Therefore, it is essential to understand whether and how these species can pace with the environmental changes. Recent advantages in landscape genomics enabled us to identify molecular signatures of adaptation and predict how populations will respond to changing environments, providing new insights into the conservation of species. Here, we investigated the pattern of neutral and putative adaptive genetic variation and its response to changing environments in a tertiary relict tree species, Taxus cuspidata Sieb. et Zucc, which is distributed in northeast China and adjacent regions. We investigated the pattern of genetic diversity and differentiation using restriction site-associated DNA sequencing (RAD-seq) and seven nuclear microsatellites (nSSRs) datasets. We further explored the endangered mechanism, predicted its vulnerability in the future, and provided guidelines for the conservation and management of this species. RAD-seq identified 16,087 single nucleotide polymorphisms (SNPs) in natural populations. Both the SNPs and nSSRs datasets showed high levels of genetic diversity and low genetic differentiation in T. cuspidata. Outlier detection by F ST outlier analysis and genotype-environment associations (GEAs) revealed 598 outlier SNPs as putative adaptive SNPs. Linear redundancy analysis (RDA) and nonlinear gradient forest (GF) showed that the contribution of climate to genetic variation was greater than that of geography, and precipitation played an important role in putative adaptive genetic variation. Furthermore, the genetic offset and risk of non-adaptedness (RONA) suggested that the species at the northeast edge may be more vulnerable in the future. These results suggest that although the species has maintained high current genetic diversity in the face of recent habitat loss and fragmentation, future climate change is likely to threaten the survival of the species. Temperature (Bio03) and precipitation (Prec05) variables can be potentially used as predictors of response of T. cuspidata under future climate. Together, this study provides a theoretical framework for conservation and management strategies for wildlife species in the context of future climate change.