环境科学与生态学最新文献

Neonicotinoid insecticides (NNIs) are extensively used in agricultural production in China due to their selective neurotoxicity towards target insects. In recent years, the rapid development of agriculture has increased the use and residue of NNIs. Consequently, the sediment environment, serving as the ultimate sink, is significantly impacted by NNIs. Upon release into the environment, NNIs can enter the human body through the food chain, posing potential ecological and human health risks. This study analyzed 79 sediment samples from two major river basins in North and South China, the Liaohe River basin in Liaoning Province and the Jianjiang River basin in Guangdong Province. The content, composition, distribution, and source of eight NNIs were analyzed, and assess the ecological and human health risks of the target compounds in these regions. The results indicated that the average concentration of NNIs in the sediments of the Jianjiang River basin (2.34 μg/kg) is slightly higher than that of the Liaohe River basin (2.32 μg/kg), and the sources of NNIs in the two areas were different, with differences in the sources of NNIs likely attributable to varying types of agricultural production. The risk assessment revealed that the ecotoxicological and public health risks were more pronounced in the Jianjiang River basin compared to the Liaohe River basin, underscoring the critical need for surveillance and management of hazardous substances like NNIs. The insights findings from this study can provide scientific guidance for the risk evaluation and environmental management of NNIs.

Microplastic (MP) pollution is a growing public and scientific concern. In urban environments, wastewater treatment plants (WWTPs) are major sources of MPs. This study sampled sludge and separated water from each sludge treatment unit in two WWTPs in Osaka, Japan. Analyzing method for MPs in sewage sludge was optimized, ultrasonic pretreatment and double digestion were introduced into the analyzing method of MPs in sewage sludge, recovering test of standard MPs proved its high efficiency. Then MPs larger than 100 μm were extracted and analyzed, their size and type were recorded, the MP concentration was calculated, and the MP flow in the sludge treatment system was estimated. MPs were detected at every step of the sludge treatment process, and 13 types of MPs were identified. The MP concentration in sludge ranged from 81 ± 48 to 6470 ± 1490 particles/kg dry sludge (DS). In the separated water, MP concentrations were much lower, ranging from 0 to 1740 ± 794 particles/kg DS. During the thickening and dewatering processes, nearly all MPs were transferred into thickened or dewatered sludge; only 5-10 % of MPs returned to the primary sedimentation pond with the separated water. The most common types of MPs were PMMA, PE, and PS. No significant differences in MP type distributions were observed among sampling batches; however, significant differences in a few types of MPs were detected between treatment units, which requires further investigation. All detected MPs were smaller than 1000 μm; larger MPs might have been removed in the grit chamber before reaching the primary or secondary sedimentation ponds. Overall, the particle size distribution did not substantially change during sludge treatment.

The efficacy of phosphorus (P) based fertilizers is frequently compromised by soil dynamics that render much of the applied P unavailable for crops. This study aimed to: (i) validate a new P model's prediction of plant-available P; (ii) analyze the effects of organic versus mineral fertilization on P availability and crop yield; and (iii) examine temporal changes in P pools under various fertilization regimes. Data were collected from two long-term field trials, Dikopshof and Bad Lauchstädt, in Germany, using organic (FYM), mineral (MIN), a combination of organic and mineral (MIX) fertilizers, and unfertilized treatments. The AgroC model, incorporating a new P module, accurately predicted P dynamics in cropped plots. At both sites, MIX presented the highest yield, P removal, total P and available soil P. After 120 years of repeated P fertilization, simulations at Dikopshof revealed a positive P balance in MIN (11.1 % with observed 13 %) and in MIX (15 % with observed 15 %), but negative in FYM (-4.9 % with observed -5 %). However, at Bad Lauchstädt, the P balance was negative in all treatments except in MIN (+1.04 %), indicating P depletion. Among crops, cereals showed the most variated yields, with P-use efficiency ranging from 50 % to 99 %, while sugar beet presented the highest P-use efficiency (up to 122 %). The lowest P application rates exhibited, FYM treatment, the highest P-use efficiency for all crops. Model pools were successfully linked to field-measured soil P fractions using CAL and DGT methods, providing initial predictions of various soil P fractions across different fertilization strategies.

Genetic redundancy in bacteria plays a crucial role in enhancing adaptability and accelerating evolution in response to selective pressures, particularly those associated with rapid environmental changes. Aminopenicillins like ampicillin are important therapeutic options for Enterococcus infections in both humans and animals, with resistance mostly associated with pbp5 gene mutations or overexpression. While the occurrence of redundant pbp5 genes has been occasionally reported, the advantages for the host bacteria have not been explored in detail. During a whole-genome sequencing project of Enterococcus faecium from bacteremic patients, we identified an ST592 strain (Efm57) with redundant pbp5 genes. This presented an opportunity to investigate the prevalence and implications of multiple pbp5 acquisitions in diverse Enterococcus species across various sources, geographical regions, and timeframes. The analysis of 618 complete Enterococcus genomes from public databases revealed that 3.2 % harbored redundant pbp5 genes, located on chromosomes or plasmids across different species from diverse epidemiological backgrounds. The proteins encoded by these genes showed homologies ranging from 51.1 % to 97.5 % compared to native copies. Phylogenetic analysis grouped redundant PBP5 amino acid sequences into three distinct clades, with insertion sequences (mostly IS6-like) facilitating their recent spread to diverse plasmids with varying genetic backbones. The presence of multiple antibiotic resistance genes on pbp5-plasmids, including those conferring resistance to linezolid, underscores their involvement in co-selection and recombination events with other clinically-relevant antibiotics. Conjugation experiments confirmed the transferability of a specific 24 kb pbp5-plasmid from the Efm57 strain. This plasmid was associated with higher minimum inhibitory concentrations of ampicillin and conferred bacteria growth advantages at 22 °C. In conclusion, the widespread distribution of redundant pbp5 genes among Enterococcus spp. highlights the complex interplay between genetic mobility, environmental factors, and multidrug resistance in overlapping ecosystems emphasizing the importance of understanding these dynamics to mitigate antibiotic resistance spread within the One Health framework.

This study innovatively introduced rhamnolipid (RL) to compound thermophilic bacteria (TB) agent pretreatment system for further accelerating the waste sludge hydrolysis and substrates transformation. The results showed that combined pretreatment was beneficial for the sludge extracellular polymers (EPS) rupture and dissolved organic matters (DOM) release. In the optimal dosage of 40 mg/g SS RL, the activities of protease and α-glucosidase increased by 20.7 % and 33.3 % than that without RL addition, respectively. The addition of RL enhanced efficient contacts between hydrolases and organic substrates, and excitation emission matrix (EEM) spectrum revealed that combined pretreatment with 40 mg/g SS RL could achieve higher soluble microbial by-products occupancy (54 %) and lower fulvic acid-like substances (6 %) occupancy in DOM, promoting the waste sludge biodegradability. High organics availability conducted to more shifts in microbial community structure, compared with TB agent pretreatment, the relative abundance of genus Geobacillus and norank_f__Synergistaceae were enhanced by 29.08 and 0.33 times in combined pretreatment system, respectively, which was conducive to sludge hydrolysis and subsequent anaerobic fermentation process.

Water bodies are critical to the environment, providing numerous ecological benefits; however, human activities increasingly threaten their quality. Natural water systems exhibit regional variability, dominated by organic and inorganic species, rendering in-situ measurements insufficient. Current remote sensing methods often overlook the impact of surface light components, which vary with solar radiation and wave intensity. This study demonstrates an approach for water quality monitoring utilizing spectral reflectance and polarization in the visible and near-infrared regions. A line spectrometer with a polarization filter was employed for hyperspectral measurements under simulated wave conditions. Chlorophyll (Chl) and suspended sediment (SS) pollution were simulated using locally sourced products at various concentrations. The contaminant reflectance was computed, and the polarization components were analyzed using the Pickering method and Stokes vectors. Normalization and continuum removal techniques ensured reliable comparisons across the spectra. The spectral angle mapper (SAM) algorithm quantified the similarity between unpolarized wave conditions and total reflectance spectra under calm conditions, while spectral entropy quantified wave effects compared to calm water. The results indicated that the polarized components of Chl and SS reflectance were minimal in calm water but increased under wave conditions, particularly at lower wavelengths. Higher contaminant concentrations exhibited greater spectral similarity, with lower SAM values indicating reduced specular reflections. The raw and normalized unpolarized reflectance spectra displayed characteristic features; however, the reflectance at high concentrations was lower than anticipated, likely due to spectrometer sensitivity and strong water absorption. The degree of Linear Polarization (DoLP) analysis revealed distinct scattering behaviors: Chl exhibited a lower DoLP than SS. Wave conditions enhanced the DoLP due to increased specular reflections. Overall, the method effectively separates reflection components but is sensitive to measurement conditions, emphasizing the necessity to account for angles and water conditions when estimating contaminants.

Globally, land use change has consistently resulted in greater losses than gains in aboveground biomass (AGB). Forest fragmentation is a primary driver of biodiversity loss and the depletion of natural capital. Measuring landscape characteristics and analyzing changes in forest landscape patterns are essential for accounting for the contributions of forest ecosystems to the economy and human well-being. This study predicts national forest distribution for 2036 and 2054 using a Cellular Automata (CA) system and assesses ecosystem conditions through landscape metrics at the patch, class, and landscape levels. We calculated 130 metrics and applied a Variance Threshold method to remove features with low variance, testing different thresholds. The first filtered-out metrics were further analysed through Principal Component Analysis combined with a Feature Importance technique to select and rank the top 10 indicators: effective mesh size, splitting index, mean radius of gyration, largest patch index, mean core area, core area percentage, Simpson's evenness index, mutual information, Simpson's diversity index, and mean contiguity index. The eleventh selected indicator is the AGB density, a structural measurement for ecosystem condition and a proxy for forest carbon storage and sequestration assessments. From 2000 to 2018, the national AGB forest carbon stock decreased from 131.5 to 91.3 Megatons (Mt) with expected values for 2036 and 2054 being 71.8 and 55.3 Mt., respectively. Landscape measurements quantitatively describe forest dynamics, providing insights into the structure, configuration, and changes characterizing landscape evolution. This research underscores the capability of CA models to map large-scale forest resources and predict future development scenarios, offering useful information for conservation and environmental management decisions. Additionally, it provides measurements to support Ecosystem Accounting by assessing forest extent and indicators of its conditions.

Bioaccumulation of trace element contaminants with endocrine disruptive (ED) potential has been noted in European brown bears, though evidence of their effects is lacking. Generalized linear models were employed to assess circulating levels of reproductive, stress, and thyroid hormones in relation to arsenic (As), cadmium (Cd), mercury (Hg), lead (Pb) and thallium (Tl) in 53 free-ranging brown bears (Ursus arctos) from two European populations (Carpathian and Dinara-Pindos). Other potential drivers of hormone variation, such as essential elements, ecological factors, physiological variables, and capture methods, were included as predictors. The models demonstrated a positive association between cortisol and Cd, and a negative association with Tl. In addition, Tl and Pb were identified as key factors in explaining variation in thyroid hormones (free triiodothyronine, fT3 and free thyroxine, fT4). Trap type was significant in explaining variation in fT3 concentrations, while sex was an important predictor of progesterone levels. The essential elements, cobalt (Co) and copper (Cu) accounted for 41 % of testosterone variation, while Cu and selenium (Se) were negatively associated with fT4. Other notable predictors of investigated hormone variation included body condition index (important for cortisol), age (for fT4), year (for fT3), capture day (for fT4 and fT4:fT3 ratio) and population (fT4:fT3 ratio). This study evidenced trace elements as important factors to consider when studying hormonal variation in terrestrial wildlife (Tl for cortisol and fT3, Cd for cortisol, Cu for testosterone and fT4, Co for testosterone, Pb and Se for fT4). To gain a more definitive understanding of the effects of exposure to element contaminants on endocrine status, it is recommended to include more sensitive and specific endocrine disruption-related endpoints in a larger sample size. Doing so will further enhance our understanding of the potential adverse endocrine effects of environmental pollutants on these bear populations and other large mammalian wildlife species.

Nanoplastics and microplastics are of growing research interest due to their persistence in the environment and potential harm to organisms through physical damage, such as abrasions or blockages, and chemical harm from leached additives and contaminants. Despite extensive research, a clear distinction between the physical and chemical toxicity of plastic particles has been lacking. This study addresses this gap by reviewing studies examining both toxicity types, focusing on environmentally relevant leachates. The chemicals used in plastics manufacturing, which number over 16,000, include additives, processing aids, and monomers, many of which pose potential hazards due to their toxicity, persistence, and bioaccumulation. Studies typically use extraction or leaching methods to assess chemical toxicity, with leaching more closely mimicking environmental conditions. Factors influencing leaching include plastic type, particle size, and environmental conditions. A systematic literature search identified 35 relevant studies that assessed the toxicity of plastic particle suspensions and their leachates. Analysis revealed that, in 52 % of the cases, both the suspension and leachate had toxic effects, while in 35 % of the cases, toxicity was attributed to the suspension alone. At 13 %, only the leachate was toxic. This suggests that leachates contribute significantly to overall toxicity. However, the results vary widely depending on the experimental conditions and plastic type, highlighting the complexity of microplastic toxicity. The preparation methods used for leachates significantly influence toxicity results. Factors such as leaching time, particle size, and separation techniques affect the concentration and presence of toxic chemicals. Additionally, washed particles-those subjected to procedures for removing leachable chemicals-often showed reduced toxicity, although the results varied. This underscores the need for standardized methods to compare studies better and understand the relative contributions of physical and chemical toxicity to microplastic pollution.

Microbially-induced carbonate precipitation (MICP) provides a natural biomineralization approach to secure the geologic storage of gases (e.g., carbon dioxide, hydrogen and methane). Cracks in embrittled wellbore cement, for example, provide a pathway for atmospheric gas leakage, while permeability heterogeneities in the storage reservoir leads to fingering effects that diminish the storage capacity. The design of MICP processes, however, remains a challenge due to limited understanding of the coupled nonlinear reaction kinetics and multiphase transport involved. Specifically, previous attempts at MICP through porous media have been encumbered by carbonate precipitation localized to the first ∼ cm of the bulk injection surface. In this study, we investigate the reactive transport controls on MICP necessary to enable deep MICP penetration into the formation. We use a micromodel with pore geometry and geochemistry representative of real geologic media to image direct pore- and pore-ensemble-level mineral, fluid, and microbial distributions. An approach to adsorb microbes uniformly across the micromodel, rather than local accumulation near the inlet, is developed that enables deep MICP penetration into the porous medium. A sensitivity analysis was performed to investigate the impact of injection conditions (e.g., rates, concentrations) required to maximize CaCO₃ precipitation away from the injection site. With multiple cycles of MICP, a ∼ 78 % reduction in permeability was achieved with ∼8 % carbonate pore volume occupation. Overall, this study establishes the possibility of MICP as an effective and controllable method to enhance the security of gas storage in geologic media.