Scientific Surveys Research Articles

Mapping essential juvenile habitats of exploited marine fish: Complementary insights from a scientific survey-based model, fishers’ knowledge and fisheries-dependent data

In the Bay of Biscay (BoB, Northeast Atlantic), a preexisting habitat suitability model (HSM) fitted on ecological scientific trawl survey data with restricted partial coverage revealed the concentration of Young of the Year (YoY) common sole (Solea solea) on restricted coastal and estuarine nurseries. To extend the nursery map of sole in the BoB to zones where survey data are lacking and fit with the sole population and stock management extent, we crossed HSM, fishers’ ecological knowledge (FEK) and fisheries-based (FB) data. FB and FEK data also complemented knowledge on juvenile sole habitat and seasonal migration. Thirteen fishers with potential knowledge about the YoY sole distribution were directly interviewed. Direct interviews included both information about the location of juveniles and YoY distribution mapping. With good consensus among fishers, FEK allowed the identification of four new areas hosting essential juvenile habitat for the common sole, revealed the accuracy of the HSM model outside the spatial coverage of the ecological survey, and provided spatial refinement. The FB observation data confirmed the locations of the essential juvenile habitats given by FEK and the spatial distributions of YoY densities predicted from the scientific data. In addition, FB confirmed the seasonal migration of YoY sole, which was preliminarily hypothesized from a local and short-term survey-based study. Our results emphasized the local accuracy of FEK. These findings also underlined the interest in combining several sources of data and methods to map essential fish habitats outside areas well covered by ecological scientific surveys, on order to inform future spatial management measures.

ADD-YOLO: An algorithm for detecting animals in outdoor environments based on unmanned aerial imagery

The breeding management of extensive livestock and scientific research surveys of animals in outdoor environments often require the utilization of UAVs due to their ability to efficiently cover large areas at a cost-effective rate. However, identifying small animal targets in aerial imagery from high-altitudes remains a significant challenge. This paper introduces an enhanced algorithm based on YOLOv8n, specifically designed for aerial animal detection. Firstly, we add a P2 small target detection layer on top of the original baseline model, while removing the P5 large target detection layer and 32x downsampling to enhance the detection of small animal targets and reduce the number of model parameters. Secondly, The improved N-SPPCSPC module replaces the spatial pyramid pooling structure in the baseline model to enhance the extraction capability for small targets. Thirdly, an improved DWRC2f module is adopted to enhance the extraction of multi-scale contextual information. Fourthly, the SEAM module is incorporated before the detection head to enhance the detection of occluded and overlapping animals. Finally, a combined NWD Loss function is implemented to address the scale sensitivity of IoU Loss, thereby improving the accuracy of small target detection. Compared to the baseline model, the improved model achieved an increase of 7.1% and 4.9% in mAP50 values and an increase of 4.0% and 1.3% in mAP50-95 values, respectively, across two datasets, while significantly reducing the number of parameters. Further comparisons with other single-stage object detection models demonstrate a better robustness of our model. Additionally, after quantization, when testing the inference speed of ADD-YOLO on performance-constrained edge devices, it was 1.72 times and 1.81 times faster than the baseline model. Therefore, this model provides a new and efficient monitoring tool for extensive pastoral management and wildlife surveys.

STRATEGIC PLANNING FOR COMMUNITY ENGAGEMENT IN THE ACTIVITIES OF NON-GOVERNMENTAL ORGANIZATIONS

Strategic planning in the activities of non-governmental organizations is designed to outline guidelines for responding to the needs of the target audience. Organizations of the third sector of Ukraine direct their activities to help the population affected by the war. For example, the Red Cross Society of Ukraine (URCS) seeks to respond to the dynamic humanitarian crisis in Ukraine by adapting its strategic plan to the changing needs of the affected population. The revision of the Strategic Plan for 2026-2030 is aimed at ensuring the relevance, effectiveness and impact of the programs and interventions of the URCS. Therefore, the purpose of this study was to find out the features of strategic planning regarding the involvement of communities in the activities of non-governmental organizations using the example of the Red Cross Society of Ukraine. This goal is achieved through the analysis of domestic and foreign scientific surveys, program documents of the URCS. This study provides a review of the research that provides practical advice for organizations to identify the capacity needed to support community engagement. This article attempts a practical synthesis of how the practice framework defines the needs of an organization's capacity to engage communities, which is necessary to further develop and test these capacities. Among other considerations, such work must take into account the considerable diversity that exists among NGOs. The article also showcases an example of the annual strategic plan of the URCS Community Engagement and Accountability Department for community engagement activities. Nevertheless, it is hoped that these practical observations and ideas will be tested and refined and ultimately lead to a better understanding of how organizations should prepare for optimal community participation.

Metacognitive Involvement and Critical Thinking in Technical Students in Information Environment

Metacognitive involvement in activities and critical thinking are the soft skills students require as a basic adaptation resource in information environment at university, in life, and at work. This research explored the correlation between metacognitive involvement and critical thinking which university students of technical specialties used to navigate information environment. The study involved 58 male and 12 female fourth-year students (21.26 ± 0.47 y.o.) of the Penza State University, Penza, Russia. The list of methods employed included scientific review, survey, testing, and Spearman’s correlation analysis. The survey involved the following questionnaires: Metacognitive Involvement in Activity (G. Schraw, R. Dennison, 1994; eight-factor version by E. I. Perikova, V. M. Byzova, 2022); Critical Thinking Test (J. Kincher, 1990); author’s own questionnaire of Students and Information Environment (N. N. Krylova, 2024). The correlation analysis revealed strong relationships between nine indicators of metacognitive involvement in activities and critical thinking (p ≤ 0.001 and p ≤ 0.01). The Structure of Error Correction factor of metacognitive involvement depended on such a parameter of information environment as the input intensity. The metacognitive involvement in activities correlated with the students’ assessment of mental and information load in the curriculum, e.g., the Metacognitive Knowledge factor correlated with the mental and information load in Physics and Mathematics while the Error Correction Structure factor was associated with the load assessment in technical disciplines. In addition, some individual parameters of information environment correlated with the students’ assessment of mental and information load. In this study, metacognitive involvement in activities correlated with critical thinking in university students as they interacted with information environment because these phenomena are not isolated psychologically from each other.

The role of larval transport on recruitment dynamics of red mullet (Mullus barbatus) in the Central Mediterranean Sea

Recruitment success depends on external forcing mechanisms such as ocean currents that affect the transport of eggs and larvae to favorable habitats. In this study, we investigated the role of larval transport in the recruitment of Mullus barbatus in the Central Mediterranean Sea by modeling the recruits' abundance as a function of both spawning stock size and dispersal rates of the species’ early life stages. Our analysis involved twenty years of data on recruits and spawners abundance obtained from scientific trawl surveys, and data on larval dispersal rates derived from a combination of actualized published sources and original data. By calculating in the Sicilian nurseries, the estimates of retention, import and uniformity of the contribution of the spawning areas distributed among different Geographical Sub Areas (GSAs), we assessed their contribution to recruitment using modified Ricker stock size-recruits models. In particular, our results show that a higher uniform contribution from spawning areas within GSA16, mainly related to the oceanographic patterns promoting larval retention, together with spawners abundance, significantly reduced the variability of red mullet recruitment. We further highlighted that when switching from a higher to a lower level of evenness of contribution to the recruit population from different spawning areas in the GSA16, the expected spawning stock abundance per recruit for a given fishing pattern can suffer a rapid short-term decline, which is likely to have negative consequences for stock assessment and management decisions. Our results suggest that larval transport plays a crucial role in explaining the interannual variability of recruitment, thereby contributing to a better understanding of stock size variation. Additionally, our study enhances the understanding of the spatial dynamics involved in the recruitment of this species, which is of increasing interest within fisheries management frameworks.

Towards sustainable exploitation of European pilchard (Sardina pilchardus) stocks off West African waters

European pilchard (Sardina pilchardus), herein referred to as “sardine” or “European sardine”, is the most productive and economically important small pelagic fish in the Northwest African waters. Thus far, very little is known about its stock status in the West African region despite the rapid decadal increase in its catch production. The present study provides avenues vital to improving guidance for sustainable species management. In this region, sardine is divided administratively into three stocks (northern: stock N, central: stock A + B, and southern: stock C). Thus, the present study used two Surplus Production Models (SPM) to evaluate sardine's stock status. Sardine's catch and scientific survey biomass data obtained from FAO-CECAF's (Fishery Committee for the Eastern Central Atlantic (CECAF)) latest reports were used in this analysis to fit the SPMs and investigate the effectiveness of the available catch-per-unit-effort (CPUE) trends in setting the total allowable catch (TAC) for sustaining the different sardine stocks in the region. Results from the SPMs indicate that the sardine stock in the north is fished at optimum levels. Meanwhile, the SPMs output based on the scientific survey biomass indices indicated a healthy state for the central and southern sardine stocks. Similarly, the fishery CPUE indices for the central and southern stocks showed similar biomass trends compared to the survey biomass index, indicating healthy stock status. Therefore, in cases where survey biomass index data is unavailable to run stock assessments, this study suggests that sardine fishery CPUEs could be used in SPMs to monitor biomass trends over time and may also provide stock status proxies. Additionally, with rapid climate and other environmental changes, sardine stocks must be regularly monitored with consistent and comparable scientific methodologies and updated fisheries time series data.

Elasmobranch Mark–Recapture Experiment off the Balearic Islands: Insight into Scyliorhinus canicula Growth, Mobility, and Population Size

Despite the high diversity of elasmobranch fishes in the Balearic Islands, knowledge of their biology and population dynamics is still scarce. A recent mark-and-recapture experiment off the Balearic Islands tagged 3738 individuals of 23 shark and batoid species during MEDITS and CANAL bottom trawl scientific surveys from June 2021 to August 2023. Retrieval was reported for the sharks Scyliorhinus canicula and Mustelus mustelus, revealing relatively small home ranges for these species (0.2–38.5 km and 7.8–15.3 km for S. canicula and M. mustelus, respectively). Recapture efficiency was higher from scientific surveys than from commercial catches, highlighting potential challenges in collaboration with fishermen and recapture reports. Density estimates obtained from the MEDITS bottom trawl survey suggest a much larger population for S. canicula than estimates from the mark–recapture data, indicating MEDITS density estimates for this species may be overestimated due to its scavenger behavior perhaps favoring individuals searching for discards aggregated in the fishing grounds. This study emphasizes the importance of monitoring, collaborative efforts, and improved reporting mechanisms to enhance our understanding of elasmobranch populations and provide support for sustainable management of these vulnerable marine species.

A new framework on climate-induced food-security risk for small-scale fishing communities in Tanzania

Food insecurity is a pressing issue facing our world, particularly affecting coastal communities who rely on marine resources. The problem is further compounded by the rapidly changing climate, a deteriorating environment and growing human populations. It is essential to evaluate this issue accurately to reduce risk and improve the situation of coastal communities, especially in countries with less socioeconomic development. To this end, we develop a food security social-ecological risk assessment framework for developing communities in coastal areas of the Western Indian Ocean facing a changing environment. The framework integrates local ecological knowledge, expert scientific opinion, survey data, and satellite sea surface temperature (SST) and chlorophyll-a observation. We conducted a local-scale case study in four regions in Tanzania; Mafia, Pemba, Tanga, and Unguja, revealing that they face moderate to high risk levels of food insecurity. The highest risk was observed in the island communities of Pemba and Unguja, while the communities of Mafia and Tanga had the lowest risk due to lower exposure and sensitivity to climate change. Our results show that recognizing the key differences across risk components is crucial in identifying effective intervention strategies for local practitioners. This study highlights the need for detailed assessments to provide accurate information on local-scale food security dynamics, specifically when assessing impacts induced by environmental and climatic changes.

Detection differences between eDNA and mid‐water trawls are driven by fish biomass and habitat preferences

AbstractMarine scientific trawl surveys are commonly used to assess the distribution and population size of fisheries‐related species, yet the method is effort‐intensive and can be environmentally destructive. Sequencing environmental DNA (eDNA) from water samples can reveal the presence of organisms in a community without capturing them; however, we expect the detectability of taxa to differ between eDNA and trawl surveys, and understanding how species traits and population variables contribute to detection differences can help calibrate our expectations from each form of sampling. Here, we coupled eDNA metabarcoding and capture trawl surveys in British Columbia, Canada, to examine species traits that explain recurrent differences in detectability between the two methods, including habitat, body size, and biomass. At the regional scale, 17 of 23 fish species (74%) captured by the trawl were detected by eDNA metabarcoding, and 39 additional species were detected by eDNA sampling only. We found that eDNA metabarcoding disproportionately detected trawl‐caught species with greater local biomass (i.e., greater biomass in the adjacent trawl). Fish detected only in eDNA had a greater range of body lengths and a broader range of habitat preferences outside the trawls' target size and sampling areas. Our results suggest that with our level of sampling, eDNA metabarcoding can adequately recapitulate detection of fish communities detected by trawl surveys, but with a bias toward fish of high population biomass and greater inclusion of fish from outside the trawled area.

Trawling through time: reconstructing a late nineteenth century beam trawl for scientific inshore fishery investigations

Understanding long-term change in fish populations often relies on comparing catches from historical and contemporary trawl surveys. However, such comparisons may not resolve biases associated with differences in fishing gears and their relative catchabilities. It is possible to reduce these uncertainties by replicating historical trawl gear and practices. With the availability of unique historical catch data, we investigated the trawl gear employed by the Northumberland Sea Fisheries Committee (NSFC) during scientific surveys conducted between 1892–1913 in inshore waters of the Northumberland coast (UK), and describe our attempt to reconstruct the gear using currently available materials. We reviewed the historical literature, photographs and acquired technical expertise to reconstruct a late nineteenth century beam trawl used by the NSFC. The replica gear consisted of a 6.7 m beam connected by two Brixham style wrought-iron trawl heads, which held open a triangular-shaped trawl net with rounded ground-rope. Following construction, we tested the performance and catchability of the replica gear by conducting comparative trawls using a modern otter trawl in August 2018 and March 2019. Both trawl gears exhibited similar catches for flatfish in August trials, yet a higher proportion of individuals were landed by the otter trawl in March. Zero or negligible catches were exhibited by the replica gear during this period. This work collates relevant information to describe the evolution, design and functioning of late nineteenth century beam trawls used around the British Isles, providing an important repository for investigators interested in trawl technology and survey designs.

ИСПОЛЬЗОВАНИЕ ТЕПЛОВЫХ КОСМИЧЕСКИХ СНИМКОВ ПРИ ВЫЯВЛЕНИИ УЧАСТКОВ ПОВЫШЕННОГО ПОДЗЕМНОГО ПРИТОКА В РЕКИ, ОЗЕРА И ВОДОХРАНИЛИЩА (НА ПРИМЕРЕ ТВЕРСКОЙ ОБЛАСТИ)

The article provides examples of the use of thermal space images in hydrological studies to identify areas of increased underground runoff on water regions of the Tver region. In this work, foreign satellite images Landsat 5 and Landsat 8 in the thermal far infrared range were used. The description of the hydrogeological and hydrological conditions of the studied area is also given here. Special attention was paid to the minimum flow of the Upper Volga rivers during the inter-war period, which characterizes the underground flow of the studied river basin. The results of these scientific surveys can be useful for hydrogeologists and hydrologists engaged in similar problems. Thermal space not in all cases may be effective in solving such hydrological problems.

Exploring Growth Patterns of Maurolicus muelleri across Three Northeast Atlantic Regions

Maurolicus muelleri is an important component of mesopelagic ecosystems; nevertheless, we possess only limited knowledge about its biological features. We collected samples of M. muelleri from six scientific surveys between 2019 and 2021 in three geographical areas in the Northeast Atlantic waters (from South to North): the Bay of Biscay, the Celtic Sea, and the Norwegian Sea. Geographical variations in otolith growth, fish age, length, weight, and condition, as well as length–weight relationships and von Bertalanffy growth models (VBGMs), were investigated. Length-weight relationships revealed differences associated with the fish’s origin, paralleling the annual and daily otolith growth. VBGM parameters increased progressively northwards, in accordance with Bergmann’s rules. Fish length was positively related to the otolith radio, and Lee’s phenomenon was undetected. The impact of environmental variables, such as temperature and food availability, is debated, with these considered potential drivers of this variability. Populations may belong to separated units, either genetically or morphologically, representing differences in biological parameters as a signal of geographical divergence.

A Scientific Investigation of the Shangfang Mountain Yunshui Cave in Beijing Based on LiDAR Technology

The Yunshui Cave in Shangfang Mountain, Beijing, is a famous high-altitude karst cave in northern China. As the third scientific survey of Yunshui Cave in history, this is the first time to use the latest LiDAR technology to carry out a related detection survey. Traditional cave measurement methods are limited by natural conditions and make it difficult to reach the destination. Traditional methods mainly rely on experience and obtain data with strong subjectivity, making it difficult to conduct quantitative research and obtain reproducible results in the current information era. Applying LiDAR technology to cave measurement can obtain comprehensive and accurate digital measurement results within the same survey time and reveal many richer and more accurate features of Yunshui Cave. The obtained digital measurement results can be used for 3D modeling as well as provide a large amount of accurate basic data and preliminary materials for subsequent geological, environmental, and archaeological investigation and analysis, as well as cultural and tourism resource development. The rapid geological survey of Shangfang Mountain Yunshui Cave using LiDAR technology shows that LiDAR cave geological survey technology can achieve real-time collection of centimeter-level accuracy and generate billions of points of cloud data, greatly improving survey efficiency and accuracy. At the same time, digital survey results can be obtained. Through modeling and GIS technology, all on-site survey details can be easily moved back to the laboratory for real-scene reproduction, network sharing, and dissemination. This study provides a foundation for future explorations of the Yunshui cave and highlights the potential for LiDAR techniques to enhance our understanding of complex geological structures such as caves.

Northeast Atlantic species distribution shifts over the last two decades.

Marine species are widely shifting their distributions in response to global changes and it is commonly expected they will move northward and to greater depths to reach cooler, less disturbed habitats. However, local manifestations of global changes, anthropogenic pressures, and species characteristics may lead to unanticipated and varied responses by individual species. In this regard, the Celtic-Biscay Shelf is a particularly interesting study system because it has historically been heavily fished and occurs at the interface between two distinct biogeographic provinces, its community thus comprised of species with diverse thermal preferenda. In the context of rapidly warming temperatures and intense fishery exploitation, we investigated the distribution shifts of 93 taxa (65 Actinopteri, 10 Elasmobranchii, 11 Cephalopoda, 5 Malacostraca, and 2 Bivalvia), which were sampled annually from 1997 to 2020 during a scientific bottom trawl survey. We used a set of 11 complementary spatial indices to quantify taxon distribution shifts over time. Then, we explored the relative effect of taxon abundance, fishing pressure, and climatic conditions on taxon's distribution shift when a significant shift was detected. We observed that 56% of the taxa significantly shifted. Not all taxa will necessarily shift northward and to deeper areas, as it is often expected. Two opposite patterns were identified: taxa either moving deeper and to the southeast, or moving closer to the surface and to the northwest. The main explanatory factors were climate change (short- and long-term temperatures) and taxon abundance. Fishing pressure was the third, but still significant, explanatory factor of taxa of greater commercial importance. Our research highlights that taxa are displaying complex distribution shifts in response to the combined anthropogenic disturbances and underscores the need to conduct regional studies to better understand these responses at the ecosystem scale to develop more suitable management plans and policies.

Marine environmental variability in Northern Patagonia (Southwestern Atlantic Ocean) as recorded in Glycymeris longior shells

Certain marine regions in the world lack long instrumental records of environmental variables or such records are incomplete. This deficiency particularly applies to Argentine Patagonia, where existing instrumental records span only the last few decades. In the present study it was explored whether such data can be reconstructed from a natural archive, specifically shells of the bivalve mollusk Glycymeris longior from the San Matías Gulf, north Patagonia. For this purpose, a multidecade-long time-series was constructed using variations in the annual shell growth. The time-series spans from 1890 to 2020 and is based on shells from museum collections (live-collected from 1918, 1933 and 1945) and from scientific surveys conducted between 1989 and 2021. An analysis of the links between environmental variables and shell growth was performed between 1976 and 2020 (expressed population signal >0.85). The common signal among the growth curves of individual specimens of G. longior suggests that the growth is influenced by environmental parameters. However, the growth of G. longior did not show significant correlations with the low- nor with the high-frequency components of SST and food supply (chlorophyll-a concentration and POC), suggesting that these parameters do not limit shell growth at the studied site or were undetected with our analyses. The chronology also seems to be insensitive to regional climate patterns such as the Southern Annular Mode. The chronology has the potential for being expanded spatially and temporally.

Ongoing borealization of Siberian Arctic marine ichthyofauna: Further evidence

The occurrence, abundance, biomass and size composition of six boreal fish species (walleye pollock Gadus chalcogrammus, Pacific cod G. macrocephalus, northern wolffish Anarhichas denticulatus, beaked redfish Sebastes mentella, Greenland halibut Reinhardtius hippoglossoides, glacier lanternfish Benthosema glaciale) in the Siberian and Pacific Arctic are presented based on the analysis of open databases (OBIS, GBIF and FishBase) and the results of scientific surveys of TINRO 1977–2020. In open databases, information on the records of these species is available mainly for the eastern Chukchi Sea and the Beaufort Sea and is practically absent for the seas of the Siberian Arctic, which is due to technical reasons. Data from long–term surveys of TINRO indicate the extension of the ranges of North Atlantic species eastward and North Pacific species westward indicating the ongoing borealization of the Siberian Arctic due to a changing climate. At the species level, it can lead to the overlap of the ranges of the “western” and “eastern” populations of Greenland halibut, as well as the ranges of Pacific and Greenland cods, which will make it possible to exchange genetic material between these populations/species and will contribute to the disappearance of genetic differences between them.

Non-native fish species in the North Aegean Sea: a review of their distributions integrating unpublished fisheries data

Fisheries-dependent data and information gathered through fisheries-related scientific surveys can significantly contribute to research on the patterns and processes underlying marine biological invasions and their interactions with fisheries. This study presents an overview of the presence of non-native fish species in the North Aegean Sea, offering insights into their distributions and impact on fisheries. The findings are based on a comprehensive compilation of commercial fisheries-dependent and scientific survey data collected in Greece from 2016 to 2023, along with a systematic review of the international scientific literature. The study resulted in the documentation of the presence of 37 non-native fish species, including several recorded for the first time in the area. The results suggest that non-native fish species invasions in the North Aegean Sea are dynamic. Although most species were classified as casual, and the frequencies of occurrence as well as the quantities in commercial fisheries catches of established species are smaller than in the South Aegean Sea, species introductions and the extent of occurrence and area of occupancy of several species have been increasing since the 2000s. The significance of non-native fish species is becoming increasingly relevant to commercial fisheries in the study area. This is particularly evident in the Northeastern Aegean Sea, where catches of non-native species are on the rise, and new species with potential commercial value have emerged in recent years.

Adaptation of Ukrainian Higher Education Students to the Wartime Stress Factor

The wartime stress factor is a significant challenge for mental health. Ukrainian higher education students have been studying under martial law for over two years. Therefore, investigating their adaptation to these conditions is crucial. Aim: To examine how Ukrainian higher education students adapt to the wartime stressor. Methods: Analysis of scientific literature, surveys, and statistical analysis. The three-wave study spanned from April 20, 2022, to December 19, 2023. It involved 1901 students from various regions of Ukraine. Results: No significant changes were found in students' experiences of psychological problems or harmful habits like smoking and alcohol consumption (p>0.05) during the wartime stressor period. This may suggest that students are struggling to adapt to the war. However, the use of calming medications increased by 0.4% compared to the first stage of the study and by 6.3% compared to the second (p<0.05). Gender and the number of stressful experiences emerged as factors influencing students' use of calming medications. Female students showed greater difficulty adapting to the wartime stressor compared to male students. Additionally, the more stressful experiences students reported, the more likely they were to use calming medications. While being in the center of hostilities can be highly traumatic, it did not significantly affect the use of calming medications. Similarly, the field of study did not show a significant influence (p>0.05). Conclusions: The findings suggest that students have not yet adapted to the war. Developing and implementing psychological and pedagogical support measures for this youth group through physical activity interventions is a relevant area for further research.

Influence of Higher Education E-Service Quality on E-Learning Student Satisfaction; As Moderated By Digital Literacy: A Mixed Method Research Approach

Introduction: This paper explores the impact of college e-service quality on student satisfaction in the context of the innovative practice of "Internet + Education" in order to research whether there is any difference in students' perception of college e-service quality under the influence of different levels of digital literacy. The research object of this paper is students of universities in Kunming, and the SERVQUAL model is extended. Among them, the independent variables are the five dimensions of e-service quality. The dependent variable is online education student satisfaction. The moderating variable is digital literacy. This research is based on relevant service theories. A combination of quantitative and qualitative methods is used. The results of the research show that the impact of service quality on college students' e-learning satisfaction is different under different levels of digital literacy. Objective: The research objective of this paper is to investigate the impact of the quality of e-services in higher education on student satisfaction in order to research whether there are differences in students' perceptions of the quality of e-services in higher education under the influence of different levels of digital literacy. Theoretical Framework: This research was expanded with the SERVQUAL model and followed the exploratory sequential mixed methods process of scientific investigation, from the initial selection of variables to the final discussion of recommendations and countermeasures. Method: In this study, the scientific survey process of exploratory sequential mixed methods was used to research the satisfaction of college students with online education based on the theory of digital literacy and service quality, using college students in Kunming, China, as the target of the survey, and a combination of quantitative and qualitative research methods. Results and Discussion: The results of the analysis showed that the independent variable: the five factors of e-services (the higher, the higher the satisfaction of students. And under the moderating variable, digital literacy moderated all the other factors, only the relationship between responsibility and e-learning student satisfaction had no significant moderating effect. [synthesize the main results of the research]. In the discussion section, these results will be correlated according to the theoretical framework, highlighting the identified effects and relationships. This section also considers possible limitations of the research. Research Implications: 1. theoretical significance: by constructing a comprehensive theoretical model, this research aims to provide new insights into the field of e-learning. It not only helps to understand the impact of E-learning platform design and service quality, but also emphasizes digital literacy as an important moderating variable. 2. Practical significance: The research results will provide value to educational technology developers and educational policy makers, helping them to optimize e-learning platforms to enhance user experience and learning outcomes. Originality/Value: This research expands the SERVQUAL model by taking online education as the background, combining the actual situation of online education in China, and taking digital literacy as the variable. It allows colleges and universities to break through the original traditional education model. And lifelong learning and personalized learning are the focus of the reform of continuing education in colleges and universities. The results of this research will promote colleges and universities to continuously improve the quality of online education and provide reference for schools and teachers to carry out online education and continuing education.

Rapid climate change increases diversity and homogenizes composition of coastal fish at high latitudes.

Rapid warming at high latitudes triggers poleward shifts of species' distributions that impact marine biodiversity. In the open sea, the documented redistributions of fish lead to a borealization of Arctic fauna. A climate-driven borealization and increased species diversity at high latitudes are also expected in coastal fish communities, but they have not been previously documented on a large, biogeographic scale. Here, we investigate the impact of temperature change over the last 25 years on fish communities along the coast of Norway. The study area, spanning different ecoclimatic zones between 62° and 71° N, harbors over 200 species of boreal and Arctic fish. Several of these fish species are harvested by coastal and indigenous communities, influencing settlement geography and livelihood. The long-term data on coastal water temperatures and fish species were obtained from monitoring stations and scientific surveys. Water temperature measured at three fixed sampling stations distributed along the coast show increased temperatures during the study period. The fish species distribution and abundance data were obtained from the annually standardized scientific bottom trawl survey program. Fish species richness, which was highest in the south, increased with warming first in the south and then, gradually, further north, eventually affecting biodiversity in the whole study area. Fish community composition showed a distinct latitudinal pattern early in the study, with Arctic fish species confined to the north and boreal species dominating the south. The poleward shifts eventually eroded this zoogeographic pattern, resulting in more boreal fish species in the north and an increased homogenization of species composition along the Norwegian coast. The climate-driven reorganization of fish communities affects coastal ecosystems that are exposed to fisheries, aquaculture, and other rapidly expanding human activities, stressing the urgent need for a climate adaptation of integrated coastal management.