Ecological Classification Research Articles

Review of the Clinical Types of Dermatophytes

Fungi known as dermatophytes require keratin in order to develop. "Ringworm" is the common term for superficial fungus infections that affect the skin's keratinized layers and its limbs in both humans and animals. These fungi have the potential to superficially infect nails, hair, and skin. Ringworm fungi have the ability to penetrate all layers of skin. Dermatophytes can be transmitted directly by people (anthropophilic organisms), indirectly by fomites, and by animals (zoophilic organisms), soil (geophilic organisms), and other people. Dermatophytes are the cause of the medical condition known as dermatophytosis. Approximately 25% of the global population suffers from dermatophytosis, and no human population is immune to these mycotic disorders. There are three genera in total. the more than twenty species of dermatophytes: Trichophyton, Microsporum, and Epidermophyton. By providing reliable epidemiological data, it is imperative that we expand broaden public knowledge of the importance of these illnesses and deepen our understanding of fungal biology and pathology. Ecological classifications, clinical potential for pathogenicity manifestations, and "chemical and natural" dermatophytosis therapy alternatives are some of the review themes.

SYNTAXONOMICAL COMPOSITION AND COENOTIC STRUCTURE OF THE RIPARIAN-AQUATIC VEGETATION IN DIFFERENT TYPES OF WATER BODIES OF POLTAVA CITY

The article deals with the results of studying the syntaxonomical composition and structure of the communities of riparian-aquatic vegetation in different types of water bodies of the city of Poltava (artificial and natural reservoirs, the urban section of the middle River Vorskla), where, according to the ecological and floristic classification, 16 associations (including 2 variants) of six alliances and four orders of the class PHRAGMITO-MAGNOCARICETEA were identified. Of these, only two associations (Phragmitetum communis and Typhetum latifoliae) are the most typical in urban hydroecotopes.The studied plant associations are characterized by a low species richness, the absolute majority of them represents a simplified version of the original natural associations. Relatively higher species richness of some associations is due to the participation of species of hygro-mesophilic forbs, primarily elements of the synanthropic floral complex, which is associated with a significant disturbance of the natural vegetation cover in the urban area. The nature of the development of the described riparian-aquatic plant communities and the peculiarities of their floristic composition reflect the tendency to shallowing and waterlogging of urban hydroecotopes.In the rank of associations there are 14 communities in urban lentic water bodies and 8 communities on the urban section of the middle river. Most of the identified associations (8) are confined exclusively to urban reservoirs, while only 2 associations are specific to the urban section of the river. Of those 6 associations found both in urban reservoirs and in the middle river’s urban section, the river coenoses are more diverse and better developed.In the conditions of an urbanized environment, the middle river ecosystems show a higher resistance to anthropogenic influence compared to ecosystems of artificial urban water bodies, which is evidenced, in particular, by a more complex coenotic structure of common associations.

From slenderness to robustness: Understanding long bone shape in sigmodontine rodents.

The morphological evolution of the appendicular skeleton may reflect the selective pressures specific to different environments, phylogenetic inheritance, or allometry. Covariation in bone shapes enhances morphological integration in response to ecological specializations. In contrast to previous multivariate studies using classical linear morphometry, we use a geometric morphometric approach to explore the morphological diversity of long bones and examine relationships between ecological categories and morphological characters in a species-rich and ecomorphologically diverse group of rodents. We examined the humerus, ulna, femur, and tibiofibula of 19 sigmodontine species with different locomotor types (ambulatory, quadrupedal-saltatorial, natatorial, semifossorial and scansorial) to investigate the influence of locomotor type and phylogeny on limb bone shape and morphological integration of the appendicular skeleton. This study represents the most detailed examination of the morphological diversity of long bones in sigmodontines, employing geometric morphometrics within an ecomorphological framework. Our results indicate that functional demands and evolutionary history jointly influence the shape of forelimb and hindlimb bones. The main variation in bone shape is associated with a slenderness-robustness gradient observed across all ecological categories. Quadrupedal-saltatorial species, with their need for agility, possess slender and elongated limbs, while natatorial and semifossorial species exhibit shorter and more robust bone shapes, suited for their respective environments. This gradient also influences bone covariation within limbs, demonstrating interconnectedness between elements. We found functional covariation between the ulna-tibiofibula and humerus-tibiofibula, likely important for propulsion, and anatomical covariation between the humerus-ulna and femur-tibiofibula, potentially reflecting overall limb structure. This study demonstrates that the versatile morphology of long bones in sigmodontines plays a critical role in their remarkable ecological and phylogenetic diversification.

Historic water quality patterns in endemic schistosomiasis regions of southern Africa: Implications for disease vector distribution

Alterations in atmospheric temperature and rainfall have a major influence on the distribution patterns of vector-borne diseases, including schistosomiasis, by changing the optimum habitat of the intermediate hosts (vectors) that transmit these diseases. Water quality degradation and the creation of artificial freshwater habitats may widen or restrict the distribution of disease vectors. Understanding the influence of water quality on ecosystems is essential in determining the environments that vectors thrive in and where potential outbreaks of the disease they carry will occur. This study aims to analyse the changes in various water quality variables between 1977 and 2009 in the Mbombela river systems and how this may have altered the presence of schistosomiasis snail vectors in these areas. Historical water quality data for the Sabie, Kaap, Komati and Crocodile rivers were obtained from the Department of Water and Sanitation monitoring stations and separated into three decades (1977–1987; 1988–1998 and 1999–2009). The Physicochemical Driver Assessment Index (PAI) was used to determine the ecological category of the rivers in each decade. A Principal Component Analysis was also created for the different river systems to identify possible changes in water quality over the 3 decades. According to the PAI, the Sabie River remained in a relatively good state while the Crocodile, Komati and Kaap rivers had a low water quality to begin with and became further degraded over the three decades. The PCAs indicated the Sabie and Crocodile rivers had increased levels of salts, nutrients and pH between 1988-1998 and 1999–2009 while the Kaap River had high salt content and pH between 1977 and 1998 and high nutrients during the decade of 1999–2009. These results indicate that there has been a change in the water quality of Mbombela river systems with notable increases in salt, pH and nutrient levels. As a result, the aquatic biota have likely been negatively affected and this poses severe impacts on the presence and abundance of schistosomiasis vectors as the snails are sensitive to changes in salinity, nutrients and pH.

Global Overview of the Application of the Braun-Blanquet Approach in Research

Environmental classifications are of paramount importance for assessing the impacts of land-use changes, for prioritizing conservation efforts, and for developing effective management strategies to mitigate the negative impacts of human activities. The aim of our research was to provide as complete an analysis as possible of the studies that have been carried out using the Braun-Blanquet approach. The global review of studies based on the Braun-Blanquet approach includes 1168 papers and was conducted using the PRISMA 2009 methodological recommendations, strict criteria for the selection/quality of papers, and modern methods of data analysis and visualization using VOSviewer software developed by Nees Jan van Eck and Ludo Waltman (Centre for Science and Technology Studies (CWTS) of Leiden University in the Netherlands) (version 1.6.18), which ensures a representative sample, minimization of subjective judgements, and reliability of conclusions. It was noted that the number of publications on Braun-Blanquet is growing exponentially. This is an indication of the scientific interest in this methodology and its continuous further development. Based on a detailed analysis of the keywords, the main research directions and challenges are identified. These include improving the conceptual and methodological foundations of the Braun-Blanquet approach; improvement in regional vegetation classifications, synthesizing them and producing a comprehensive classification for large areas as a basis for biodiversity conservation and sustainable land use; expansion of the geography; compilation and updating of databases of phytosociological data; management of dynamics and vegetation; discussion of the important problem of continuity and discreteness of vegetation in the context of ecological classifications; and vegetation mapping. The top 20 journals publishing the most cited articles were identified, as well as the top 20 most cited journals whose high citation rate is due to the large number of high-quality articles. The analysis of the bibliographic network of papers in dynamics has shown that the structure of relationships is not constant and has changed significantly. The analysis of the authors’ publication activity showed that the vast majority of researchers have a low publication activity and have published only one to three papers. A peculiarity also emerges: if all the most cited authors are concentrated in Eurasia, then most of the most actively published authors are outside Eurasia. The importance of the Braun-Blanquet approach for the study and classification of forest vegetation should be emphasized. In this case, the Braun-Blanquet approach is integrated into forest typologies, increasing their ecological validity and environmental relevance.

Aquatic Angiosperms of Jaunpur

The present paper deals with an investigation of aquatic angiosperms of Jaunpur District. Geography, climate and ecological classification of the species along with diagnostic features and phenology are described. In all, 127 species representing 91 genera and 44 families have been recorded.

Diversity and Molecular Evolution of Nonvisual Opsin Genes across Environmental, Developmental, and Morphological Adaptations in Frogs.

Nonvisual opsins are transmembrane proteins expressed in the eyes and other tissues of many animals. When paired with a light-sensitive chromophore, nonvisual opsins form photopigments involved in various nonvisual, light-detection functions including circadian rhythm regulation, light-seeking behaviors, and seasonal responses. Here, we investigate the molecular evolution of nonvisual opsin genes in anuran amphibians (frogs and toads). We test several evolutionary hypotheses including the predicted loss of nonvisual opsins due to nocturnal ancestry and potential functional differences in nonvisual opsins resulting from environmental light variation across diverse anuran ecologies. Using whole-eye transcriptomes of 81 species, combined with genomes, multitissue transcriptomes, and independently annotated genes from an additional 21 species, we identify which nonvisual opsins are present in anuran genomes and those that are also expressed in the eyes, compare selective constraint among genes, and test for potential adaptive evolution by comparing selection between discrete ecological classes. At the genomic level, we recovered all 18 ancestral vertebrate nonvisual opsins, indicating that anurans demonstrate the lowest documented amount of opsin gene loss among ancestrally nocturnal tetrapods. We consistently found expression of 14 nonvisual opsins in anuran eyes and detected positive selection in a subset of these genes. We also found shifts in selective constraint acting on nonvisual opsins in frogs with differing activity periods, habitats, distributions, life histories, and pupil shapes, which may reflect functional adaptation. Although many nonvisual opsins remain poorly understood, these findings provide insight into the diversity and evolution of these genes across anurans, filling an important gap in our understanding of vertebrate opsins and setting the stage for future research on their functional evolution across taxa.

OPTIMIZATION OF CNN + MOBILENETV3 FOR INSECT IDENTIFICATION: TOWARD HIGH ACCURACY

Developments in the field of artificial intelligence and deep learning, particularly Convolutional Neural Networks (CNN) techniques, have expanded the research potential and applications in ecology, including efficient and accurate insect classification. However, there are challenges in achieving high levels of accuracy with similar computational efficiency. In response, the efficient MobileNetV3 architecture was investigated to improve the insect pest classification process. Through an analytical descriptive quantitative approach and insect datasets from Kaggle, this study tested the effectiveness of CNN models optimized with MobileNetV3. The results indicated that the optimized model achieved classification accuracy of up to 90%, with consistent performance between training and validation data and significant loss reduction. With high precision and processing efficiency, this discovery makes a substantial contribution to deep learning applications in the field of intelligent agriculture, promising methodological improvements for other classification problems. Despite offering a promising solution, this study recognizes the limitation in dataset diversity and suggests further exploration with more varied datasets to strengthen the model's application in actual agricultural practices.

Linking Seed Traits and Germination Responses in Caribbean Seasonally Dry Tropical Forest Species.

Understanding the relationships between seed traits and germination responses is crucial for assessing natural regeneration, particularly in threatened ecosystems like the seasonally dry tropical forest (SDTF). This study explored links between seed traits (mass, volume, moisture content, and dispersal type), germination responses (germinability, germination speed (v¯), time to 50% of germination (T50), synchrony, and photoblastism), and physical dormancy (PY) in 65 SDTF species under experimental laboratory conditions. We found that species with smaller seeds (low mass and volume) had higher v¯ and reached T50 faster than species with larger seeds. For moisture content, species with lower moisture content had higher germinability and reached the T50 faster than seeds with high moisture content. Abiotic dispersed species germinated faster and reached the T50 in fewer days. Most of the SDTF species (60%) did not present PY, and the presence of PY was associated with seeds with lower moisture content. As for photoblastism (germination sensitivity to light), we classified the species into three ecological categories: generalists (42 species, non-photoblastic), heliophytes (18 species, positive photoblastic, germination inhibited by darkness), and sciadophytes (5 species, negative photoblastic, light inhibited germination). This study intends to be a baseline for the study of seed ecophysiology in the SDTF.

Potential effects of the discharge of wastewater treatment plant (WWTP) effluents in benthic communities: evidence from three distinct WWTP systems

Wastewater treatment plant (WWTP) effluents can be sources of environmental contamination. In this study, we aimed to understand whether effluents of three different WWTPs may have ecological effects in riverine recipient ecosystems. To achieve this, we assessed benthic phytobenthos and macroinvertebrate communities at three different locations relative to the effluent discharge: immediately upstream, immediately downstream and 500-m downstream the effluent discharge. Two approaches were employed: the ecological status classification as defined in the Water Framework Directive (WFD) based on biological indicators; constrained multivariate analysis to disentangle the environmental drivers (physicochemical variables and contaminants, namely metals, polycyclic aromatic hydrocarbons, pharmaceuticals, and personal care products) of ecological changes across the study sites. The results showed inconsistencies between the WFD approach and the multivariate approach, as well as between the responses of macroinvertebrates and diatoms. The WWTP effluents impacted benthic communities in a single case: macroinvertebrates were negatively affected by one of the WWTP effluents, likely by the transported pharmaceuticals (other stressors are essentially homogeneous among sites). Given the findings and the scarcity of consistent evidence on ecological impacts that WWTP effluents may have in recipient ecosystems, further research is needed towards more sustainable regulation and linked environmental protection measures.

Local variations in soil compaction in the drilosphere of a wide range of earthworms and links with ecological categories and functional traits

Earthworms can compact the soil through the production of casts and by pushing the soil when burrowing. However, how different ecological categories differently affect these processes is poorly known. This study aimed to expand our knowledge on the compaction within the drilosphere and to examine similarities and differences between ecological categories. We sampled 21 earthworm species in Vietnam whose bioturbating behaviours and morpho-anatomical traits had been previously studied. One individual was incubated in soil core for four weeks under laboratory conditions. After incubation, the following drilosphere properties were assessed using X-ray computed tomography: the volume and compaction of casts, the volume of empty burrows, the compaction of burrow walls and the radius of lateral compaction around burrows. The drilosphere volume decreased in the following order: anecic (8.5%), endogeic (2.5%), intermediate (1.5%) and epigeic species (0.5%). Together, casts and lateral compaction occupied more than 70% of the whole drilosphere regardless of the ecological category. Both anecic and endogeic species had relatively similar effects on soil compaction. They compacted surface casts (up to 1.45-fold), belowground casts (up to 1.20-fold), and burrow walls (up to 1.25-fold) and induced the widest lateral compaction around burrows (up to 11 mm). Conversely, epigeic species had markedly fewer effects, increasing compaction from 1.10- to 1.20-fold and producing the narrowest lateral compaction (1 mm). Intermediate species showed large variability, which included species with little and large effects on compaction. Finally, we showed that food ingestion, muscle thickness and body size were the most related to the compaction of the drilosphere. It is concluded that the soil volume compacted by the earthworms is larger than the volume of empty burrows. Additionally, our study encourages further investigations using functional traits to overcome some limitations associated with the traditional ecological category approach.

Development and use of a novel diver-operated ski for surveying nearshore rocky reef habitats.

The use of camera and video technologies for conducting underwater surveys has rapidly expanded over the past several decades. However, the utility of these systems can be significantly hampered by numerous logistical factors, including limited underwater visibility, rough bottom topography, and ease of use for the operator. Video studies can be difficult to compare when methods and terminologies differ. Here, we describe the development of a cost-effective diver-propelled underwater ski-based video system for rapidly acquiring videos in challenging shallow high-energy rocky benthic habitats for quantifying fish, macroalgae, and invertebrates in a coastal temperate system. The ski held the camera at a (relatively) fixed distance from the seafloor, we used parallel lasers to quantify our observations, and we used the standardized language and definitions in the Coastal and Marine Ecological Classification Standard (CMECS) to acquire consistent quantitative data to serve as an ecological baseline, also including archived images. Our results indicate that the ski proved to be an effective tool for capturing insightful data that would otherwise be very difficult and time consuming to collect. Our baseline and repeatable methods can be used by other investigators at this or other locations for monitoring, re-evaluation, or comparisons to other sites.

Classification of Lakebed Geologic Substrate in Autonomously Collected Benthic Imagery Using Machine Learning

Mapping benthic habitats with bathymetric, acoustic, and spectral data requires georeferenced ground-truth information about habitat types and characteristics. New technologies like autonomous underwater vehicles (AUVs) collect tens of thousands of images per mission making image-based ground truthing particularly attractive. Two types of machine learning (ML) models, random forest (RF) and deep neural network (DNN), were tested to determine whether ML models could serve as an accurate substitute for manual classification of AUV images for substrate type interpretation. RF models were trained to predict substrate class as a function of texture, edge, and intensity metrics (i.e., features) calculated for each image. Models were tested using a manually classified image dataset with 9-, 6-, and 2-class schemes based on the Coastal and Marine Ecological Classification Standard (CMECS). Results suggest that both RF and DNN models achieve comparable accuracies, with the 9-class models being least accurate (~73–78%) and the 2-class models being the most accurate (~95–96%). However, the DNN models were more efficient to train and apply because they did not require feature estimation before training or classification. Integrating ML models into benthic habitat mapping process can improve our ability to efficiently and accurately ground-truth large areas of benthic habitat using AUV or similar images.

Экологическая типизация сельскохозяйственных земель и моделирование устойчивых агроландшафтов на локальном уровне

The purpose of the study: carry out an ecological typification of the territory of agricultural land use and model the sustainability of agricultural landscapes by assessing agro-ecological factors. Research methods: general scientific methods were used: observation, description, comparative, historical, modeling. When studying the structure, system analysis was used, analysis and synthesis methods were used to identify agro-ecologically homogeneous areas and territories of the same type, cartographic methods were used to zoning and compile cartographic material, and information analysis was used to model agricultural landscapes. Research results. A study of the agricultural lands of an economic entity with an area of more than 87 km2 showed that it consists of five landscape areas that are universally susceptible to degradation processes. As a result of a comprehensive analysis of agricultural landscapes, factors limiting the productivity of agricultural crops were identified. The agro-ecological assessment of landscapes made it possible to typify agricultural land and zone the territory. For each agro-ecotype of land, a complex of agro-, phyto-, reclamation measures has been developed aimed at increasing the sustainability of agricultural landscapes, as well as land use models that allow predicting the use of land resources for a multi-term perspective. Conclusions. 1. The scientific article presents the results of a study of the agro-ecological state of agricultural land use through agro-ecological typification of land, carried out on the basis of an analysis of limiting factors and conditions affecting the adaptive potential of agricultural plants. 2. It has been established that the agricultural landscapes of the study area are actively used in agricultural production (mainly crop production) and are everywhere subject to degradation processes. It was determined that land use includes five landscape areas that differ significantly in area and morphological characteristics. The ecological classification of lands at the local level (level of an economic entity) is shown, highlighting groups, subgroups, classes, subclasses, genera and subgenera. Limiting agro-ecological factors and conditions inherent in the study area were identified and its zoning was carried out. It was found that the agro-ecological state of the territory (assessed using more than ten indicators) differs significantly among agricultural groups. The assessment of the agro-ecological state made it possible to draw up a unique map-scheme of land agro-ecotypes and develop a set of agro-, phyto-, and reclamation measures aimed at optimizing agricultural land use. Three models of agricultural land use aimed at increasing the sustainability of agricultural landscapes are presented, with calculated forecast characteristics. 3. The results of scientific research can be used in the organization, monitoring, protection of agricultural lands and management of the sustainability of agricultural landscapes at the local level.

Soils of xerophytic meadows of the Middle Podesen’ya: on the issues of accumulation of organic substances and biochemical activity

Relevance. Natural meadow communities, belonging to the dry meadows group, in the conditions of a decrease in floodplain of the leading water artery in the Bryansk region — the Desna River are characterized by significant changes in the mode of economic use. However, a significant part of dry meadows is used as pasture lands, so the regime of intensive exploitation of these lands significantly changes the ecological regimes of phytocenoses, reducing the carbon-depositing functions. For xerophytic (dry) meadows of natural origin, the establishment of soil carbon reserves, the identification of biochemical and microbiological activity is especially important in the light of the low stability of these communities under pasture load and wide distribution throughout the territory of the Middle Podesen’ya.Methods. The research provided for field route studies and in-house data processing using the methods of trial sites, the method of ecological and floral classification, the method of ecological scales (according to G. Ellenberg), ecological and chemical methods — determination of organic carbon, the weight method, biochemical and microbiological methods for the study of the biocompatible body.Results. For the soils of xerophytic (dry) meadows, for the first time, carbon-absorbing capacity, enzymatic activity for urease, catalase, cellulase, depending on the phytocenotic complex, has been established for the Middle Podesen’ya. A positive strong correlation has been established with organic carbon and average monthly precipitation in June, July and August. Over a two-year observation period, the amount of total organic carbon in the soil changed in a number of associations communities: Festuco ovinae-Koelerium delavignei > control > Agrimonio eupatoriae-Poetum angustifoliae > Caro carvi-Deschampsietum > Anthoxantho-Agrostietum tenuis > Hieracio pilosellae-Agrostietum tenuis > Koelerio delavignei-Festucetum rubrae > Anthyllidi-Trifolietum montani > Polygalo vulgaris-Anthoxanthoetum.

An Optimization Strategy for Provincial “Production–Living–Ecological” Spaces under the Guidance of Major Function-Oriented Zoning in China

The comprehensive evaluation of China’s major function-oriented zoning, grounded in scientific principles, has evolved into a nationwide initiative aimed at promoting regional coordinated sustainable development. A pivotal focus during this transitional phase is the optimization of a “production–living–ecological” spatial pattern within the main national functional areas. This involves a meticulous examination of the main functions, encompassing the distinct categories of production, living, and ecology, as well as prioritizing scenarios aligned with the functional orientation of towns, agriculture, and ecology in land-use simulation. Utilizing the PLUS model’s land-use simulation technology, a detailed investigation into Anhui Province’s main function orientation was conducted to achieve an optimal simulation of the “production–living–ecological” spatial pattern. The findings underscore the inadequacy of a singular scenario in attaining a global optimal solution for simulating the three spaces of production, living, and ecology. However, a gradual stabilization was observed in the overall quantitative structure and spatial transition frequency of these three spaces in Anhui Province. The continuous optimization of local spatial patterns and functional layouts was achieved through a multi-scenario optimization simulation based on main function orientation. Noteworthy improvements were identified in the optimization of the three spaces in specific regions: the northern part of Anhui, urban living spaces around Hefei and Wuhu, and ecological spaces in southern and western Anhui. Crucially, the simulation results align with the strategic goal orientation of the provincial main functional areas, the optimization trajectory of the “production–living–ecological” spatial pattern, and the strategic imperative for the coordinated and sustainable development of territorial space in Anhui Province. These findings furnish a robust scientific foundation for decomposing and transmitting the core indicators of provincial territorial spatial planning, as well as delineating the “three zones and three lines” in municipal territorial spatial planning.

The Multi-Kingdom Microbiome of Wintering Migratory Birds in Poyang Lake, China.

Wild birds are a natural reservoir for zoonotic viruses. To clarify the role of migratory birds in viruses spread in Poyang Lake, we investigated the microbiome of 250 wild bird samples from 19 species in seven orders. The bacterial and viral content abundance and diversity were preliminarily evaluated by Kraken2 and Bracken. After de novo assembly by Megahit and Vamb, viral contigs were identified by CheckV. The reads remapped to viral contigs were quantified using Bowtie2. The bacterial microbiome composition of the samples covers 1526 genera belonging to 175 bacterial orders, while the composition of viruses covers 214 species belonging to 22 viral families. Several taxonomic biomarkers associated with avian carnivory, oral sampling, and raptor migration were identified. Additionally, 17 complete viral genomes belonging to Astroviridae, Caliciviridae, Dicistroviridae, Picornaviridae, and Tombusviridae were characterized, and their phylogenetic relationships were analyzed. This pioneering metagenomic study of migratory birds in Poyang Lake, China illuminates the diverse microbial landscape within these birds. It identifies potential pathogens, and uncovers taxonomic biomarkers relevant to varied bird habitats, feeding habits, ecological classifications, and sample types, underscoring the public health risks associated with wintering migratory birds.

Responses and resistance capacity of Solanum nigrum L. mediated by three ecological category earthworms in metal-[Cd-As-Cu-Pb]-contaminated soils of North China

Earthworms play vital functions affecting plant growth and metal accumulation from downground to aboveground. Soil metal mobilization may be combined with use of earthworm and hyperaccumulator-Solanum nigrum to improve its remediation efficiency. Understanding the effects of specific-species earthworm belonging to different ecological categories on mechanisms underlying of S. nigrum is critical for metal-polluted remediation. However, seldom studies concerned earthworm-assisted phytoremediation of metal contaminated soil in Northern China. This study investigated the effects of earthworm (Eisenia fetida, Amynthas hupeiensis and Drawida gisti) on S. nigrum with exposure to uncontaminated and [Cd-As-Cu-Pb]-contaminated soil (referred to as S0 and S1) for 60 days, respectively. In S1 soil, A. hupeiensis (anecic) had stronger effects on growth and metal accumulation in the organs (root, stem, and leaf) of S. nigrum than D. gisti (endogeic) and E. fetida (epigeic), attributing to their ecological category. The BAF values of S. nigrum were generally ranking in Cd (0.66–5.13) > As (0.03–1.85) > Cu (0.03–0.06) > Pb (0.01–0.05); the BAFCd values were ranking in leaf (2.34–5.13) > root (1.96–4.14) > stem (0.66–1.33); BAFAs, BAFCu, and BAFPb were root (0.04–1.63) > stem (0.01–0.09) ≈ leaf (0.01–0.06). A. hupeiensis decreased the TF values of S. nigrum from the roots to the shoots. Co-effects of metal stress and earthworm activity on metal uptake by shoots suggested that A. hupeiensis increased the uptake of As, Cu, and Pb (by 56.3 %, 51.5 %, and 16.2 %, p < 0.05), but not Cd, which appeared to remain steady for prolonged durations. Alterations in the integrated biomarker response index version 2 (IBRv2) values demonstrated that A. hupeiensis (12.65) improved the resistance capacity (stimulated GSH, SnGS1, and SnCu-SOD) of S. nigrum under metal-containing conditions, compared with E. fetida and D. gisti (IBRv2 were 9.61 and 9.11). This study may provide insights into the patterns of ‘soil-earthworm-plant system’ on improving remediation efficiency of S. nigrum, from the perspective of earthworm ecological niche partitioning.

인류세 시대, 교육에 관한 생태학적 고찰: 브뤼노 라투르의 근대 비판과 정치생태학을 중심으로

The Anthropocene, first proposed by Crutzen and Stoermer in 2000, has been actually felt as a concrete reality over the past 20 years. Global impacts of human activities, which have significantly increased since the Industrial Revolution, have led to a serious ecological crisis, and aroused critical reflections on modernity based on anthropocentricism. This study focuses on the critique of modernity and political ecology by Bruno Latour (1947―2022), for the purpose of establishing reflective points and theoretical foundations on education to proceed toward a path for ecologization in times of crisis. His political ecology begins with a critique of modern dualism and purification, which has separated nature from human society and culture. He focuses on the interdependence and network of inhabitants, living within the system of engenderment of the Earth, which is called “Gaia,” emphasizing the agency of non-humans and the symmetrical relationship between humans and non-humans. He also explores the possibilities of solidarity of a new ecological class in the direction of ecologization, concerning the habitability of vulnerable beings. Through an analysis of his critique of modernity and political ecology, this study suggests alternative points of education in Korean society from modern self-reliance to the relational ethics of interdependence and from economic values to ecological values. It then proposes educational transformation to seek ecological citizenship and expanded democracy, which concern the habitability of vulnerable beings and represent their ontology.

Characteristics and Drivers of Vegetation Change in Xinjiang, 2000–2020

Examining the features of vegetation change and analyzing its driving forces across an extensive time series in Xinjiang are pivotal for the ecological environment. This research can offer a crucial point of reference for regional ecological conservation endeavors. We calculated the fractional vegetation cover (FVC) using MOD13Q1 data accessed through the Google Earth Engine (GEE) platform. To discern the characteristics of vegetation changes and forecast future trends, we employed time series analysis, coefficient of variation, and the Hurst exponent. The correlation between climate factors and FVC was investigated through correlation analysis. Simultaneously, to determine the relative impact of meteorological change and anthropogenic actions on FVC, we utilized multiple regression residual analysis. Furthermore, adhering to China’s ecological functional zone classification, Xinjiang was segmented into five ecological zones: R1 Altai Mountains-Junggar West Mountain Forest and Grassland Ecoregion, R2 Junggar Basin Desert Ecoregion, R3 Tianshan Mountains Mountain Forest and Grassland Ecoregion, R4 Tarim Basin-Eastern Frontier Desert Ecoregion, and R5 Pamir-Kunlun Mountains-Altan Mountains Alpine Desert and Grassland Ecoregion. A comparative analysis of these five regions was subsequently conducted. The results showed the following: (1) During the first two decades of the 21st century, the overall FVC in Xinjiang primarily exhibited a trend of growth, exhibiting a rate of increase of 4 × 10−4 y−1. The multi-year average FVC was 0.223. The mean value of the multi-year FVC was 0.223, and the mean values of different ecological zones showed the following order: R1 &gt; R3 &gt; R2 &gt; R5 &gt; R4. (2) The predominant spatial pattern of FVC across Xinjiang’s landscape is characterized by higher coverage in the northwest and lower in the southeast. In this region, 66.63% of the terrain exhibits deteriorating vegetation, while 11% of the region exhibits a notable rise in plant growth. Future changes in FVC will be dominated by a decreasing trend. Regarding the coefficient of variation outcomes, a minor variation, representing 42.12% of the total, is noticeable; the mean coefficient of variation stands at 0.2786. The stability across varied ecological zones follows the order: R1 &gt; R3 &gt; R2 &gt; R4 &gt; R5. (3) Factors that have a facilitating effect on vegetation FVC included relative humidity, daylight hours, and precipitation, with relative humidity having a greater influence, while factors that have a hindering effect on vegetation FVC included air temperature and wind speed, with wind speed having a greater influence. (4) Vegetation alterations are primarily influenced by climate change, while human activities play a secondary role, contributing 56.93% and 43.07%, respectively. This research underscores the necessity for continued surveillance of vegetation dynamics and the enhancement of policies focused on habitat renewal and the safeguarding of vegetation in Xinjiang.