Bankelin7355

2, 228.83 mg g-1). DFT calculations further identified that the sp3-hybridized areas in PPS/GO aerogel had much lower adsorption energy (ΔE, -6.69 kcal/mol) towards NOR as compared with that of sp2-hybridized zones (-12.45 kcal/mol). In addition, multiple interactions were involved in the adsorption of NOR by 3D PPS/GO aerogel, including electrostatic attraction, H-bonding, π-π conjugation and hydrophobic effect.Fine particulate matter (PM2.5), which is known to impact public health, has received widespread attention recently. However, the long-term impact of maternal PM2.5 exposure remains unclear. To illuminate whether maternal PM2.5 exposure can affect serum lipoproteins and intestinal flora of offspring, mice received PM2.5 by intratracheal instillation during gestation and lactation. On postnatal day (PND) 35, serum lipoproteins of male and female pups were measured. Additionally, gut microbiota of offspring on PND 3, 10, 21 and 35 were measured by 16S rDNA sequencing of the colon contents. A higher serum triglyceride (TG) concentration in male offspring was observed in the exposed PM2.5 group (p less then 0.05) compared with the control group, while there was no significant difference in lipoproteins for female offspring. On PND 35, Bacteroides, Desulfovibrio, and Anaerotruncus were enriched in the male offspring of the PM2.5-exposed group, and the control group had an increased abundance of Streptococcus. However, for female offspring on PND35, Clostridium XI was found to be enriched in the control group. A positive correlation between Bacteroides and serum TG concentration (r = 0.47, p = 0.02) was determined by Spearman's correlation analysis. These results suggest that serum TG and gut microbiota of offspring could be influenced by maternal PM2.5 exposure in a sex-specific manner. Abnormal lipid metabolism might be relevant to the changes of gut microbiota.Effective conservation measures largely depend on knowledge of habitat selection of target species. Little is known about the scale characteristics and temporal rhythm of habitat selection of the endangered red-crowned crane, limiting the habitat conservation. Here, two red-crowned cranes were tracked with Global position system (GPS) for two years in Yancheng National Nature Reserve (YNNR). A multiscale approach was developed to identify the spatiotemporal pattern of habitat selection of red-crowned cranes. The results revealed that Red-crowned cranes preferred to select Scirpus mariqueter, ponds, Suaeda salsa, and Phragmites australis, and avoid Spartina alterniflora. In each season, habitat selection ratio for Scirpus mariqueter and ponds was the highest during the day and night, respectively. Further multiscale analysis showed that the percent coverage of Scirpus mariqueter at the 200-m to 500-m scale was the most important predictor for all habitat selection modeling, emphasizing the importance of restoring a large area of Scirpus mariqueter habitat for red-crowned crane population restoration. Additionally, other variables affect habitat selection at different scales, and their contributions vary with seasonal and circadian rhythm. Furthermore, habitat suitability was mapped to provide a direct basis for habitat management. The suitable area of daytime and nighttime habitat accounted for 5.4%-19.0% and 4.6%-10.2% of the study area, respectively, implying the urgency of restoration. The study highlighted the scale and temporal rhythms of habitat selection for various endangered species that depend on small habitats. The proposed multiscale approach applies to the restoration and management of habitats of various endangered species.Thallium (Tl) is a trace element with extreme toxicity. Widespread Tl pollution in riverine systems, mainly due to escalating mining and smelting activities of Tl-bearing sulfide minerals, has attracted increasing attention. Insights into the function of the microbial communities with advanced characterization tools are critical for understanding the biogeochemical cycle of Tl. Herein, microbial communities and their adaptive evolution strategies in river sediments from a representative Tl-bearing pyrite mine area in southern China were profiled via 16S rRNA gene sequence analysis and shotgun metagenomic analysis. In total, 64 phyla and 778 genera of microorganisms were observed in the studied sediments. The results showed that pH, Tl, Pb, Zn and total organic carbon (TOC) had a significant influence on microbial community structure. Some important reductive microorganisms (such as Erysipelothrix, Geobacter, desulfatiferula, desulfatihabadium and fusibacter) were involved in the biogeochemical cycle of Tl. The ruv, rec, ars and other resistance genes enhanced the tolerance of microorganisms to Tl. The study suggested that relevant C, N and S cycle genes were the main metabolic paths of microorganisms surviving in the high Tl-polluted environment. The findings were critical for establishment, operation and regulation in the microbial treatment of Tl containing or related wastewater.Check dams are considered to be one of the most effective measures for conservation of the soil and water resources. However, identifying the most suitable sites for the installation of check dams remain quite demanding. This research investigates and compares five machine learning algorithms (MLAs) - boosted regression trees (BRT), multivariate adaptive regression spline (MARS), mixture discriminant analysis (MDA), random forest (RF), and support vector machine (SVM) - for generating check-dam site-suitability maps (CDSSMs) and assessing them in Firuzkuh County, Iran. First, the locations of 475 existing check dams were monitored, registered, and divided into calibration (70%) and testing datasets (30%) for training and validation of the models. Fourteen check-dam conditioning factors (CDCFs) were selected and checked for multicollinearity. The relative importance of the CDCFs assessed using the elastic net (ENET) algorithm. Results demonstrated that distance from river (DFR) and drainage density (DD) to be the most significant factors for mapping the suitable sites for the erection of check dams. This research revealed that all of five MLAs had excellent accuracy for predicting the check-dam site-suitability with high AUC values RF (0.966), SVM (0.878), MARS (0.878), MDA (0.844), and BRT (0.843). The most accurate model (RF) showed that 16.95%, 35.55%, 31.08%, and 16.42% of study area comes under low, moderate, high, and very high suitability classes. The outcome achieved by this research will be helpful to sustainability planners and managers in constructing check dams at suitable sites for better conservation of soil and water resources.Aquatic ecosystems are used for extensive rice-shrimp culture where the available water alternates seasonally between fresh and saline. Poor water quality has been implicated as a risk factor for shrimp survival; however, links between shrimp, water quality and their main food source, the natural aquatic biota inhabiting these ponds, are less well understood. We examined the aquatic biota and water quality of three ponds over an entire year in the Mekong Delta, Vietnam, where the growing season for the marine shrimp Penaeus monodon has been extended into the wet season, when waters freshen. The survival (30-41%) and total areal biomass (350-531 kg ha-1) of shrimp was constrained by poor water quality, with water temperatures, salinity and dissolved oxygen concentrations falling outside known optimal ranges for several weeks. Declines in dissolved oxygen concentration were matched by declines in both shrimp growth rates and lipid content, the latter being indicative of nutritional condition. Furthermore, as the dry season transitioned into the wet, shifts in the taxonomic composition of phytoplankton and zooplankton were accompanied by declines in the biomass of benthic algae, an important basal food source in these systems. Densities of the benthic invertebrates directly consumed by shrimp also varied substantially throughout the year. Overall, our findings suggest that the survival, condition and growth of shrimp in extensive rice-shrimp ecosystems will be constrained when poor water quality and alternating high and low salinity negatively affect the physiology, growth and composition of the natural aquatic biota. Changes in management practices, such as restricting shrimp inhabiting ponds to the dry season, may help to address these issues and improve the sustainable productivity and overall condition of these important aquatic ecosystems.Land use and cover change is an important concept in the study of ecosystem services, especially in ecologically fragile areas. This study generated three scenarios, namely historical trend (HT), national planning (NP), and windbreak and sand fixation (WS), by using the CLUMondo model and Bayesian belief network (BBN) to explore land use with diverse demands. The CLUMondo model was utilized to simulate the land use probability surface of Horqin Sandy Land in 2025 under different scenarios. A BBN was constructed to investigate the net primary productivity (NPP), crop production (CP), and wind protection and sand fixation (WPSF) of Horqin Sandy Land in 2025 under uncertain land use to identify the short board areas of various services. The following results were obtained from the analysis. (1) The land use pattern of Horqin Sandy Land in 2025 under the HT scenario will be dominated by cultivated land expansion and grassland reduction. Under the NP scenario, forest will increase, and unused land and grassland will decrease considerably. Under the WS scenario, cultivated land will still maintain a similar growth state, but the difference is that forest and grassland will significantly increase. (2) NPP had the highest probability of being the Highest and the lowest probability of being Low, whereas CP and WPSF obtained the highest probability of being Medium and the lowest probability of being Higher. (3) Tuquan County and Wengniute Banner with a high probability of providing few ecosystem services should be regarded as key areas for ecological restoration. Kailu County and Horqin Left-wing Middle Banner can provide higher ecosystem services. The methodology adopted in this study establishes the connection between the land use probability surface and the optimized pattern of ecosystem services and can therefore be applied in areas where multi-objective comprehensive improvement of ecosystem services is expected.Even though assessment of aquifer characterization and recharge mechanisms in rift-related basins, especially in arid environments, is essential for developing sustainable management strategies and food security assurance, a little attention has been paid to understand these parameters. In this manuscript, we utilize an integrated remote sensing, hydrological and isotopic approach together with previously published data to better understand the aquifer characteristics and the respective roles of modern and paleo recharge to the post-Miocene alluvium aquifer in El Qaa plain, which represents the eastern margin of the Gulf of Suez continental rift basin. Our findings indicate that (1) the alluvium aquifer is largely formed of sand and gravels intercalated with silt and clay lenses and exceeds 500 m thick, (2) the groundwater salinity gradually increases towards the Gulf of Suez (from 402 to 5613 mg/l) with increasing the distance from the crystalline rocks bounding the alluvium-dominated plain, (3) isotopic analysis reveals that all of the groundwater samples show mixed isotopic signature between modern and paleo waters (δ18O -6.