Ecosystem Stability Research Articles

Variations in Primary and Secondary Metabolites of Panicum maximum under Diverse Wastewater Pollution Conditions

Panicum maximum is planted extensively in tropical and subtropical areas, due to its high-quality forage and high biomass yield. This study aims to assess the varied metabolic dynamics of P. maximum subject to different pollution-related wastewater levels, thus providing information for sustainable agriculture and soil restoration. We analyzed the primary and secondary metabolites in P. maximum subject to two different types of polluted wastewater (WW), compared to a control group. The alterations observed in the metabolite profiles were affected by several factors, including nutrient imbalances and oxidative stress induced by heavy metal accumulation. Initially, the increased nutrient availability stemming from wastewater treatment promoted plant growth; however, this positive effect was later diminished by the adverse impacts of heavy metals, which generated oxidative stress, resulting in metabolic disturbances and a decrease in the plant biomass. Importantly, the substantial increase in antioxidant enzymes, related to primary (e.g., sugars) and secondary metabolites (e.g., phenolics and flavonoids), underscores plants’ adaptive strategies to cope with stress. The increased biosynthesis of flavonoids and phenolic compounds is a protective mechanism against oxidative stress, which also improves the antimicrobial activity, following the activation of key biosynthetic pathways involved in their synthesis. These complex interactions among diverse metabolites suggest that plants exposed to polluted wastewater use various biochemical strategies to increase both their survival and defenses against pathogens. Collectively, these findings emphasize the significance of understanding how wastewater management practices can affect plant health, metabolic responses, and the broader implications for food safety and ecosystem stability.

Spatiotemporal distribution of global wind erosion over the past four decades

Abstract Wind erosion is a critical environmental issue that degrades land and air quality, affecting global ecosystems, agriculture, and human health. Yet, on the global scale, the long-term spatial variability and controlling factors of wind erosion remain highly uncertain. Here, we develop a high-resolution spatiotemporal dataset of global wind erosion from 1980 to 2020 using the Revised Wind Erosion Equation model, integrated with comprehensive meteorological, terrestrial ecology, and soil datasets. Our analysis indicates that wind erosion annually impacted 359 ± 25 petagrams of soils worldwide during this period. Approximately 70% of this erosion occurred in just ten countries, predominantly in Africa and the Middle East. Due to higher erosion intensities, pasturelands, accounting for 28% of all non-barren land use types, disproportionately contributed to 70% of the erosion in these areas. Furthermore, our analysis highlights an upward trend in global wind erosion over the past four decades, with affected areas expanding worldwide. Although our study reinforces that changing wind speeds and a drier climate are central factors impacting global wind erosion, we find that increasing erosion intensities in pasturelands may also exacerbate erosion in North Africa, South America, and East Asia. This has broad implications for soil erosion issues that impact food productivity, human health, and ecosystem stability. This research provides insights for developing wind erosion warnings and targeted mitigation strategies, supporting global efforts to combat environmental degradation and promote sustainable development.

Life on both environment in semi-aquatic frogs: Impact of aquatic microplastic (MP) from MP enrichment to growth, immune function and physiological stress

The pervasive distribution of microplastics (MPs) in aquatic ecosystems presents a significant threat to wildlife, with amphibians being particularly vulnerable due to their complex life cycles and ecological roles. This study investigates physiological and ecological impacts of aquatic MP exposure on juvenile black-spotted pond frogs (Pelophylax nigromaculatus), focusing on juvenile frog stage, history of life after metamorphosis. MP examinations in the intestine and body revealed accumulation primarily in the gastrointestinal tracts without evidence of systemic distribution. Experimental exposure to different concentrations of MPs demonstrated adverse effects on growth, physiological stress, and immune function. Notably, higher MP concentrations led to significant reductions in growth and innate immunity, indicative of compromised health. High concentrations of MPs were associated with elevated levels of corticosterone and antioxidant enzymes, indicating physiological stress. However, there was no evidence of extreme hormonal surges or imbalances in antioxidant enzyme activity, suggesting that amphibians were able to effectively cope with the levels of MPs used in the study. Changes in gastrointestinal morphology and fecal microbiota composition were observed, reflecting response of metabolic adaptation to MP exposure. At low concentrations of MPs, adaptive changes in digestive tract morphology and the maintenance of gut microbiota balance were observed, indicating that the frogs were able to manage the exposure below a certain threshold. In contrast, high concentrations of MPs had clear negative effects on amphibians, which could impact biodiversity and ecosystem stability. These findings also suggest that MPs may trigger adaptive responses at lower concentrations, while still posing significant environmental risks at higher levels.

How combined pairwise and higher-order interactions shape transient dynamics.

Understanding how species interactions shape biodiversity is a core challenge in ecology. While much focus has been on long-term stability, there is rising interest in transient dynamics-the short-lived periods when ecosystems respond to disturbances and adjust toward stability. These transitions are crucial for predicting ecosystem reactions and guiding effective conservation. Our study introduces a model that uses convex combinations to blend pairwise and higher-order interactions (HOIs), offering a more realistic view of natural ecosystems. We find that pairwise interactions slow the journey to stability, while HOIs speed it up. Employing global stability analysis and numerical simulations, we establish that as the proportion of HOIs increases, mean transient times exhibit a significant reduction, thereby underscoring the essential role of HOIs in enhancing biodiversity stabilization. Our results reveal a robust correlation between the most negative real part of the eigenvalues of the Jacobian matrix associated with the linearized system at the coexistence equilibrium and the mean transient times. This indicates that a more negative leading eigenvalue correlates with accelerated convergence to stable coexistence abundances. This insight is vital for comprehending ecosystem resilience and recovery, emphasizing the key role of HOIs in promoting stabilization. Amid growing interest in transient dynamics and its implications for biodiversity and ecological stability, our study enhances the understanding of how species interactions affect both transient and long-term ecosystem behavior. By addressing a critical gap in ecological theory and offering a practical framework for ecosystem management, our work advances knowledge of transient dynamics, ultimately informing effective conservation strategies.

Boreal tree species diversity increases with global warming but is reversed by extremes.

Tree species diversity is essential to sustaining stable forest ecosystem functioning. However, it remains unclear how boreal tree species diversity has changed in response to climate change and how it is associated with productivity and the temporal stability of boreal forest ecosystems. By combining 5,312 field observations and 55,560 Landsat images, here we develop a framework to estimate boreal tree species diversity (represented by the Shannon diversity index, H') for the years 2000, 2010 and 2020. We document an average increase in H' by 12% from 2000 to 2020 across the boreal forests. This increase accounts for 53% of all boreal forest areas and mainly occurs in the eastern forest-boreal transition region, the Okhotsk-Manchurian taiga and the Scandinavian-Russian taiga. Tree species diversity responds positively to increasing temperatures, but the relationship is weakened for higher temperature changes, and in areas of extreme warming (>0.065 °C yr-1), a negative impact on tree species diversity is found. We further show that the observed spatiotemporal increase in diversity is significantly associated with increased productivity and temporal stability of boreal forest biomass. Our results highlight climate-warming-driven increases in boreal tree species diversity that positively affect boreal ecosystem functioning but are countered in areas of extreme warming.

POPULATION INDICATORS OF GIRDOBIONTS. (MIRZACHUL AREA)

Environmental studies of populations of hydrobionts such as Unionidae, Corbiculidae, Beelgrandiellidae, Lymnaeidae, Physidae, Planorbidae, Astacidae, and Haemopidae are mentioned. These organisms play an important role in the processes of self-purification and water quality management of water bodies, helping to ensure the stability of the aquatic ecosystem. The study of their diversity and distribution is directly related to the current state of the environment, especially in the context of climate change and anthropogenic impact. Research is carried out in the Mirzachul area, specifically in the Sirdarya and Sangzor river systems and in the Southern Mirzachul and Dustlik canals. The results show a correlation between water resource status and hydrobiont populations. This is decisive for the management of Water Resources and the conservation of biodiversity.

External and internal driving forces of community and functional group stability in the forest mammal community

Conserving mammal community stability in forest ecosystems is an urgent challenge in the face of global biodiversity threats and complex trophic interaction. However, understanding of the stability of mammal communities and targeted functional groups is still limited, hindering adaptive strategy development. We collected 210 120 camera trap photos across 5897 km 2 within the Amur tiger ( Panthera tigris altaica ) range in China’s natural forests. We decomposed stability into compensatory effects, statistical-averaging effects and population stability. Using structural equation modelling, we explored the impact of external factors, species diversity and vertical effects on the stability of the community and of four functional groups. As external factors, primary productivity increased the stability of top predators, while precipitation had inconsistent effects. Horizontal diversity (richness and evenness) positively impacted community stability. However, the vertical structure of the community, including trophic-level richness and functional groups’ compensatory dynamics, were the largest drivers for maintaining community stability. Horizontal diversity within functional groups and the diversity or biomass of their food resources/consumers both influenced the stability of functional groups. Our results recognize the importance of conserving and even re-establishing vertical trophic structures in forest communities. Acknowledging multiple levels of stability, from functional groups to communities, is an indispensable step for effective conservation strategies.

The species diversity and phylogenetic structure patterns of desert plant communities in the Turpan-Hami region, Xinjiang

Desert plant communities play a crucial role in enhancing desert ecosystem productivity and stability but are highly susceptible to environmental changes owing to their limited resilience and resistance to disturbances, making it essential to understand the factors influencing their diversity patterns and community structure, particularly under the threat of climate change and intensifying droughts. This study focused on the Turpan-Hami desert region, a typical desert ecosystem in which diversity patterns and community structures remain unclear. We established 101 sampling sites ranging from elevations of -134 to 2056m and recorded community information, including species composition, height, coverage, and density, using the sample plot method. The diversity patterns were analyzed using regression analysis, and the phylogenetic structure was assessed. Additionally, Canonical Correspondence Analysis, Mantel tests, and General Linear Models were used to identify the key factors affecting community structure. Our results demonstrated that the species richness and phylogenetic diversity of plant communities exhibited a monotonic increase with elevation, and the phylogenetic structure exhibited low clustering and high dispersion along the elevational gradient. The annual mean temperature emerged as the most significant factor influencing diversity patterns, with soil nutrients, such as total potassium and available phosphorus, also affecting the spatial distribution of diversity. Notably, no significant correlations were found between community phylogenetic structure and abiotic factors, highlighting the complex interactions that drive diversity in the Turpan-Hami region. This study offers valuable insights into the mechanisms shaping desert plant community diversity and is essential for biodiversity conservation efforts in fragile desert ecosystems amid climate change.

Exploring urban and agricultural land use planning

Socio-economic development has accelerated urban expansion, leading to the encroachment of urban space into agricultural space land and seriously undermining the stability of ecosystems. Scientifically optimizing the layout of urban-agricultural space can guarantee China's food security, promote urban development and maintain ecological stability. In this study, we focused on the rapidly growing city of Nankang. We used land, ecological and geographic location data to calculate land suitability, predicted future urban space through the GeoSOS-FLUS model, and finally optimized the agricultural-urban space conflict. The results show that: the areas of farmland with quality evaluation results for grades 1-4 were 7783.13 hm2, 9411.01 hm2, 8738.99 hm2 and 3032.73 hm2, and the areas suitable for construction, more suitable for construction, unsuitable for construction and prohibited from construction accounted for 12.19%, 16.23%, 41.34% and 30.24%, respectively. Combining the FLUS model with the land suitability evaluation results, we found that there is a conflict area of 1841.96 hm2 in the delineation scheme. Adjusting their layout according to the principle of conflict coordination, the optimized area of agricultural-urban space is 28429.34 hm2 and 8968.23 hm2 respectively, accounting for 16.32% and 5.15% of the study area. The result of spatial contradiction optimization satisfies the balance between production and residential space, promotes urban development, protects ecological security, and can provide scientific reference for regional urban ecological environment construction.

Developing mathematical models to calculate annual evapotranspiration rates in Iraq using climate data.

Abstract Evapotranspiration is considered the fuel that controls the water cycle in the natural world. It is necessary for the stability of ecosystems and is involved in many important aspects in calculating groundwater quantities, determining optimal locations for building dams and reservoirs and knowing the water needs of crops. The work is divided into two main parts. The first includes the use of The Penman-Monteith method, which is considered the most standard method in the world according to the Food and Agriculture Organization (FAO), for calculating the annual rate of evapotranspiration in Iraq for the past fifteen years (2008-2022). The second part is a modification of a simple method for calculating evapotranspiration, which is the Thornthwaite method, to give results close to the accuracy of the Penman-Monteith method, as the modification was made using different statistical methods. The study showed the possibility of using the modified Thornthwaite method as an alternative to the Penman-Monteith method to calculate evapotranspiration in all regions of Iraq.

Water erosion processes: Mechanisms, impact, and management strategies

This study rigorously explores water erosion, a critical environmental challenge diminishing land productivity and ecosystem stability worldwide. Addressing a notable gap in comprehensive, region-specific erosion assessments, this research underscores innovative strategies integrating traditional practices with modern technologies. It assesses the interplay between splash erosion, surface runoff, and subsurface flow, which collectively drive significant landscape changes and soil fertility loss. The influence of key factors such as rainfall intensity, soil type, topography, and vegetation is analyzed through case studies from the Loess Plateau, the Mississippi River Basin, and the Ethiopian Highlands, illustrating varying erosion dynamics. Importantly, this work evaluates the implementation of nanotechnology and biotechnological advances in soil stabilization, supported by robust policy frameworks, and demonstrates these technologies in context, ensuring relevancy to the observed erosion processes. By combining empirical research with cutting-edge science and active community participation, this paper champions adaptive and inclusive strategies to effectively manage water erosion, aiming to bolster environmental sustainability and resilience globally.

Positive plant diversity effects on soil detritivore feeding activity and stability increase with ecosystem age

Increasing species diversity frequently enhances ecosystem functioning - a pattern strengthened with ecosystem age. It has been suggested that strengthened responses over time may be due to community assembly processes and cumulative effects over the history of interactions between and among plant and soil communities. However, most soil studies are conducted with destructive one-time samplings, and little is known about how phenological patterns of soil activity change with biodiversity and ecosystem age. Here, we investigate phenology metrics related to soil detritivore feeding activity (i.e., duration, total magnitude, variability), measured via the bait-lamina method, in a long-term grassland biodiversity experiment that included an experimental removal of plant and soil history, resulting in older and younger assembled plant and soil communities. Detritivore feeding activity peaked in spring and/or early summer, with another short increase in fall. Increased plant species richness enhanced the total magnitude and variability (i.e., the coefficient of variation) of detritivore feeding activity. Plant and soil history enhanced the buffering effects of plant richness on variability, causing older plant and soil communities to have the strongest relationships between plant richness and stability. However, older plant and soil communities showed the shortest duration of detritivore feeding activity, and species richness was not important in changing activity duration. These findings underscore the importance of considering ecosystem age as a critical component that modifies plant diversity effects on ecosystem functioning, with important implications for promoting ecosystem stability and resilience under environmental change.

Interspecific allelopathic interaction primes direct and indirect resistance in neighboring plants within agroforestry systems

The agroforestry system with high biodiversity enhances ecosystem stability and reduces vulnerability to environmental disturbances and diseases. Investigating the mechanisms of interspecies allelopathic interactions for disease suppression in agroforestry offers a sustainable strategy for plant disease management. Here, we used Panax ginseng cultivated under Pinus koraiensis forests, which have low occurrences of Alternaria leaf spot, as a model to explore the role of allelochemicals in disease suppression. Our findings demonstrate that foliar application of P. koraiensis needle leachates effectively enhanced the resistance of P. ginseng against Alternaria leaf spot. Using gas chromatography-mass spectrometry, we identified and quantified endo-borneol as a key compound in P. koraiensis leachates and confirmed its ability to prime resistance in neighboring P. ginseng plants. We discovered that endo-borneol not only directly activates defense-related pathways in P. ginseng to confer resistance but also indirectly recruits its beneficial rhizospheric microbiota by promoting the secretion of ginsenosides, thereby triggering induced systemic resistance. Notably, higher concentrations of endo-borneol, ranging from 10 to 100 mg/l, have a greater capacity to induce plant resistance and enhance root secretion, thereby recruiting more microbiota compared to lower concentrations ranging from 0.01 to 1 mg/l. Additionally, endo-borneol exhibits antifungal activities against the growth of the pathogen Alternaria panax when concentrations exceeded 10 mg/l. These results reveal the multifaceted functions of allelochemical endo-borneol in disease suppression within agroforestry systems and highlight its potential as an environmentally friendly agent for sustainable agriculture.

Impact of landscape pattern changes on ecosystem service values in the Fenhe River Basin in China

The evolution of landscape patterns affects the supply of ecosystem services. It is important to explore the relationship between them to improve regional ecological stability and maintain ecological health. The Fenhe River is the second largest tributary of the Yellow River and it represents a fragile ecological environment. Our study aimed to analyze the impact of changes in landscape patterns on the value of ecosystem services (ESV) in the Fenhe River Basin (FRB). Land use data from 2000, 2010, and 2020 were used to extract landscape pattern indices. Methods such as ecosystem service value accounting, sensitivity analysis, correlation analysis, and geodetector modeling were employed to investigate changes in landscape patterns and ESV, and to identify the driving forces and impacts of these changes on ESV. The results showed that (1) from 2000 to 2020, the dominant landscape in the FRB was cultivated land, followed by forestland and grassland, which together covered 92% of the total area. (2) Over the past 20 years, the extent of landscape fragmentation had continued to increase and ecological function had deteriorated. (3) ESV had continued to decrease. The ESV provided by the regulating service function was the largest, accounting for over 49% of the total ESV. Support service function was second, accounting for over 34%. (4) The total ESV had a strong negative correlation with Shannon's diversity index (SHDI) and Shannon's evenness index(SHEI), a significant positive correlation with Contagion index (CONTAG). (5)The Human Activity Index (HAI) had a significant impact on changes in ESV, with an influence value of 0.6192, and its synergistic effect with NDVI further enhances this impact, achieving a synergy score of 0.71. Additionally, natural factors such as topography and climate also had significant effects on ESV changes.This study provides an evidence-based theoretical reference to guide the enhancement of the natural environment of the FRB and maintain highquality development of regional landscapes.

CHARACTERIZATION OF PHYSICO-CHEMICAL AND BIOLOGICAL PARAMETERS IN AREAS WITH FISHING POTENTIAL

In the present study, the physico-chemical quality of the water in the Midia coastal area, the Tasaul Lake and the Siutghiol Lake water bodies were analyzed, as integrated sites in the territory of the North Dobrogea FLAG. This study allows establishing the state of favourability of the aquatic ecosystem, focusing on the chlorophyll content as the basis of the trophic level. The premise of a stable ecosystem induces the possibility of developing natural fish resources. An essential attribute in the context of preserving natural heritage and increasing the attractiveness for fishing activities, is the need to evaluate the qualitative and quantitative profile of the phytoplankton and, respectively, the eutrophication indicators. If aquaculture activities will be developed in the analyzed areas in the future, they could increase the economic value of the Romanian sector of the Black Sea. The biological analyzes of the water quality are the basis of the substantiation of some methods of its determination and evaluation. Thus, testing the concentration of chlorophyll, the classes of algae and the photosynthetic activity, are useful for the evaluation of eutrophication in the aquatic environment, but also for the evaluation of productivity in the surface waters studied. At the same time, the determination and evaluation of the physical and chemical parameters of water quality allowed the realization of some correlations with the structure of the biota. In this sense, the analysis methods are based on the use of modern equipment based on real time (in situ) determinations.

Differential microbiome features in lake-river systems of Taihu basin in response to water flow disturbance.

In riverine ecosystems, dynamic interplay between hydrological conditions, such as flow rate, water level, and rainfall, significantly shape the structure and function of bacterial and microeukaryotic communities, with consequences for biogeochemical cycles and ecological stability. Lake Taihu, one of China's largest freshwater lakes, frequently experiences cyanobacterial blooms primarily driven by nutrient over-enrichment and hydrological changes, posing severe threats to water quality, aquatic life, and surrounding human populations. This study explored how varying water flow disturbances influence microbial diversity and community assembly within the interconnected river-lake systems of the East and South of Lake Taihu (ET&ST). The Taipu River in the ET region accounts for nearly one-third of Lake Taihu's outflow, while the ST region includes the Changdougang and Xiaomeigang rivers, which act as inflow rivers. These two rivers not only channel water into Lake Taihu but can also cause the backflow of lake water into the rivers, creating distinct river-lake systems subjected to different intensities of water flow disturbances. Utilizing high-throughput sequencing, we selected 22 sampling sites in the ET and ST interconnected river-lake systems and conducted seasonally assessments of bacterial and microeukaryotic community dynamics. We then compared differences in microbial diversity, community assembly, and co-occurrence networks between the two regions under varying hydrological regimes. This study demonstrated that water flow intensity and temperature disturbances significantly influenced diversity, community structure, community assembly, ecological niches, and coexistence networks of bacterial and eukaryotic microbes. In the ET region, where water flow disturbances were stronger, microbial richness significantly increased, and phylogenetic relationships were closer, yet variations in community structure were greater than in the ST region, which experienced milder water flow disturbances. Additionally, migration and dispersal rates of microbes in the ET region, along with the impact of dispersal limitations, were significantly higher than in the ST region. High flow disturbances notably reduced microbial niche width and overlap, decreasing the complexity and stability of microbial coexistence networks. Moreover, path analysis indicated that microeukaryotic communities exhibited a stronger response to water flow disturbances than bacterial communities. Our findings underscore the critical need to consider the effects of hydrological disturbance on microbial diversity, community assembly, and coexistence networks when developing strategies to manage and protect river-lake ecosystems, particularly in efforts to control cyanobacterial blooms in Lake Taihu.

Влияние предварительной биоконверсии пшеничной соломы в модельной природоподобной системе на продуктивность растений

Studies focused on maintaining high productivity and stability of artificial ecosystems that reproduce the processes of natural cenoses are relevant and interesting. It seems to be effective to include decomposers, detritivores and vegetative waste in model systems aimed at obtaining products. The use of earthworms as detritivores is promising because they utilize the organic matter as well as enrich the substrates with microflora including those with antagonistic and growth-stimulating activities. The aim of this study was to assess the prospects of preliminary bioconversion of wheat straw by basidiomycetes (Lentinus tigrinus and Pleurotus ostreatus) to increase the productivity of lettuce plants. The work was carried out in laboratory conditions with model systems consisting of a substrate (peat, cattle manure and wheat straw with and without bioconversion), earthworms (Eisenia fetida) and lettuce (Lactuca sativa var. crispa cultivar Credo). The leaf area, the weight of each plant (wet and dry), the productivity of lettuce plants, and the content of the main biogenic elements in the plant tissue and substrate were evaluated. The number and weight of adult worms at the beginning and at the end of the experiment, and the number of juvenile worms at the end of the experiment, the number of cocoons, as well as coprolite weight and yield were considered. A significant phytotoxic effect when straw was added into the substrate was found. The addition of straw processed by basidiomycetes (10%) in the substrate had a favorable effect on the earthworm population. Growing lettuce on substrates with bioconverted straw and with the earthworm introduction increases the content of major macronutrients (nitrogen, phosphorus, potassium) in plants. The introduction of earthworms contributed to a significant decrease in the phytotoxicity of substrates. Thus, it is possible to recommend the inclusion of fungiculture wastes (such as substrates after fruiting bodies obtaining) in green crop production systems together with the introduction of earthworms into substrates.

Comparative Study of Butterfly Diversity across Four Habitats in Cuncolim, Goa, India

Biodiversity describes the variety and richness of life on Earth. The diversity of life on Earth is essential for healthy functioning and it boosts ecosystem productivity. Without wide range of animals, plants and microorganisms we cannot have the healthy ecosystems on which we are relying. Monitoring of biodiversity is of prime importance because biodiversity is the marker of ecosystem stability. Butterflies provide variety of ecological services and are very important component of biodiversity in different natural ecosystems. Several studies are reported from different parts of the state, mainly from wildlife sanctuaries, sacred grooves, Plateaus, and well-known tourist destinations of Goa. Present study is focused on collecting preliminary information on diversity of butterflies from four unexplored selected habitats of Cuncolim area at the foothills of Western Ghats in Goa. The Pollard Walk and visual count methods were employed. Total number of butterfly species during the survey at Forest is 316, Rivulet is 264, Seven temple is 222, and Plant nursey is 230. From the present survey it is observed that the Nymphalidae is the richest family (51%) followed by Pieridae (17%), Lycaenidae and Paipilionidae, both with (15%) each and Hesperiidae with (2%). Relative abundance of site 1(Forest) is 30.62, site 2 (Rivulet) is 25.58 site 3 (Seven temple) is 21.51 and site 4 (Plant nursery) is 22.28. Observations from this study clearly indicate the impact of anthropogenic activities on butterfly diversity.

Significant implications of diversity and stability for ecosystem sustainability necessitate differentiated management strategies: A case study of the urban agglomeration around Hangzhou Bay, China

Ecosystems are crucial for providing essential services, supporting ecological conservation, and promoting sustainable development on both regional and global scales. However, robust methodologies and comprehensive frameworks for assessing ecosystem sustainability are still lacking. This study presents an integrated framework that incorporates both diversity and stability in evaluating ecosystem sustainability. Our methodology involves a multi-step process: first, we select and integrate landscape metrics to quantify ecosystem diversity; second, we establish an ecological network and apply a robustness model to assess ecosystem stability; finally, we delineate zones of ecosystem sustainability based on the combined assessments of diversity and stability. Our findings reveal that (1) from 1995 to 2020, ecosystem diversity significantly increased within the urban agglomeration around Hangzhou Bay (UAHB), with notable regional patterns, particularly in Huzhou, Jiaxing, and Ningbo. (2) The structure and connectivity of the ecological network have markedly improved, with network robustness in 2020 surpassing that of 1995, indicating enhanced ecosystem stability. (3) Five distinct ecological zones were identified—high sustainability protected areas, ecosystem stability improving areas, low sustainability fragile areas, ecosystem diversity improving areas, and moderate sustainability transition areas—each accompanied by specific management strategies. This research offers theoretical insights and practical guidance for ecological protection and restoration, advancing sustainable ecosystem development.

Resurrected microorganisms: a plethora of resting bacteria underway for human interaction

Glaciers, which form due to the accumulation of snow, play a crucial role in providing freshwater resources, supporting river systems, and maintaining ecosystem stability. Pakistan is habitat to over 5000 glaciers, primarily located in the Hindukash, Himalaya, and Karakoram mountain ranges. Understanding the microbial communities thriving in these extreme environments becomes of utmost importance. These glaciers offer a unique perspective on extremophile adaptation, as they harbor microorganisms that are capable of surviving and thriving under harsh conditions. Glacial melting poses a significant threat to ancient microbiomes, potentially leading to the resurgence of epidemics and exposure of life to paleomicrobiota. Mostly glacial microbiome is evenly distributed and shows similar diversity. With the threat of resurrection of ages old microbiome and its incorporation into the waters have raised a major concern for revival of epidemics and exposure of life with paleanmicrobiota again. This has led the scientist to deeply observe the bacterial flora embedded in the cryonite holes of glaciers. This study aims to investigate the bacterial diversity within various glaciers of Pakistan using metagenomic techniques. Kamri, Burzil, Siachin, Baltoro, Shigar Basin, Biafo and Panama Glaciers designated from G1 to G7 respectively were chosen from Pakistan. Through rigorous physicochemical analyses, distinct characteristics among glaciers are revealed, including variations in temperature, depth, electrical conductivity, pH levels, and nutrient concentrations. The exploration of alpha diversity, employing metrics such as Chao1, Shannon, Simpson, and Inverse Simpson indices, offers valuable insights into the richness, evenness, and dominance of species within different samples. Beta diversity was calculated by using R software. The vegan package was used for NMSD, cluster and PCoA analysis based on Bray–Curtis distance. PCA analysis was done by using prcomp package from R software. Based on OTU abundance and environmental factor data, DCA analysis was done to determine the linear model from the gradient value (RDA) and the unimodal model (CCA). results were compiled by drawing cluster dendrogram which predicts the patterns of similarity and dissimilarity between different samples. Notably, phyla Proteobacteria emerge as the dominant phylum, accompanied by Actinobacteria, Firmicutes, and Bacteroidetes. The dendrogram shows five clusters, with close similarity between G1 and G4, glacier samples G3 and G8, and G2 and G7. Seasonal variations in glacier physicochemical properties were also observed, with summer samples having shallower depths, lower temperatures, and slightly acidic pH. In contrast, winter samples have higher electrical conductivity and sulfur content. Ultimately, this research provides a foundational framework for comprehending glacier ecosystems, their resident microbial communities, and their broader ecological significance. The study highlights the potential public health risks linked to the release of ancient microorganisms due to climate change, emphasizing the need for comprehensive monitoring and research to mitigate potential public health threats.