Lacustrine carbonates are a powerful archive of paleoenvironmental information but are susceptible to post-depositional alteration. Microbial metabolisms can drive such alteration by changing carbonate saturation in situ, thereby driving dissolution or precipitation. The net impact these microbial processes have on the primary δ18O, δ13C, and Δ47 values of lacustrine carbonate is not fully known. We studied the evolution of microbial community structure and the porewater and sediment geochemistry in the upper ~30 cm of sediment from two shoreline sites at Green Lake, Fayetteville, NY over 2 years of seasonal sampling. We linked seasonal and depth-based changes of porewater carbonate chemistry to microbial community composition, in situ carbon cycling (using δ13C values of carbonate, dissolved inorganic carbon (DIC), and organic matter), and dominant allochems and facies. We interpret that microbial processes are a dominant control on carbon cycling within the sediment, affecting porewater DIC, aqueous carbon chemistry, and carbonate carbon and clumped isotope geochemistry. Across all seasons and sites, microbial organic matter remineralization lowers the δ13C of the porewater DIC. Elevated carbonate saturation states in the sediment porewaters (Ω > 3) were attributed to microbes from groups capable of sulfate reduction, which were abundant in the sediment below 5 cm depth. The nearshore carbonate sediments at Green Lake are mainly composed of microbialite intraclasts/oncoids, charophytes, larger calcite crystals, and authigenic micrite-each with a different origin. Authigenic micrite is interpreted to have precipitated in situ from the supersaturated porewaters from microbial metabolism. The stable carbon isotope values (δ13Ccarb) and clumped isotope values (Δ47) of bulk carbonate sediments from the same depth horizons and site varied depending on both the sampling season and the specific location within a site, indicating localized (μm to mm) controls on carbon and clumped isotope values. Our results suggest that biological processes are a dominant control on carbon chemistry within the sedimentary subsurface of the shorelines of Green Lake, from actively forming microbialites to pore space organic matter remineralization and micrite authigenesis. A combination of biological activity, hydrologic balance, and allochem composition of the sediments set the stable carbon, oxygen, and clumped isotope signals preserved by the Green Lake carbonate sediments.

The littoral zone is an essential compartment for lake biota because of its high productivity and diversity. Moreover, phytoplankton is expected to have non-equilibrium dynamics on it. The study\'s aimed to explore phytoplankton in the littoral zone of a shallow lake over a short-term scale. Daily sampling was conducted for 25 consecutive summer days in 2016, at two marginal points of a continuously warm, polymictic, and oligo-mesotrophic subtropical lake (Lake Mangueira, Brazil). Cyanobacteria and Chlorophyta contributed 86% of total biomass. We observed high variability in phytoplankton structure, with species turnover over diel cycles. Redundancy analysis indicated spatial differentiation for phytoplankton structure in relation to abiotic conditions. Nutrient dynamics and humic substances were significant drivers for phytoplankton variability. Phytoplankton was positively correlated with SRP and negatively with humic substances. Our results showed a non- equilibrium state for the littoral phytoplankton of Lake Mangueira, given the high variability of abiotic conditions, even at short distances. Due to its high temporal and spatial variability, the littoralzone seems to contribute to the recruitment and maintenance of phytoplankton biodiversity in shallow lakes. Further studies should consider the functional attributes of species and the complex biological interactions of phytoplankton and macrophytes along the littoral zone.

In 2020-21, during the COVID-19 pandemic, a free influenza vaccination program was initiated among the elderly residents in Ningbo, China. The impact of the COVID-19 pandemic and free vaccination policy on influenza vaccine uptake needs to be evaluated. The influenza vaccine uptake among individuals born before 31 December, 1962 from 2017-18 to 2022-23 season in Ningbo was analyzed. Multivariate logistic regressions were used to estimate the impact of the COVID-19 pandemic and free vaccination policy. Our analysis included an average of 1,856,565 individuals each year. Influenza vaccination coverage increased from 1.14% in 2017-18 to 33.41% in 2022-23. The vaccination coverage among the free policy target population was 50.03% in 2022-23. Multivariate analysis showed that free vaccination policy increased influenza vaccine uptake most (OR = 11.99, 95%CI: 11.87-12.11). The initial phase of the pandemic was associated with a positive effect on influenza vaccination (OR = 2.09, 95%CI: 2.07-2.12), but followed by a negative effect in the subsequent two seasons(2021-22: OR = 0.75, 95%CI: 0.73-0.76; 2022-23: OR = 0.40, 95%CI: 0.39-0.40). COVID-19 vaccination in the current season was a positive predictor of influenza vaccine uptake while not completing booster COVID-19 vaccination before was negative predictor in 2022-23. Having influenza vaccine history and having ILI medical history during the last season were also positive predictors of influenza vaccine uptake. Free vaccination policies have enhanced influenza vaccination coverage among elderly population. The COVID-19 pandemic plays different roles in different seasons. Our study highlights the need for how to implement free vaccination policies targeting vulnerable groups with low vaccination coverage.

The seasonal plasticity of resistance to xylem embolism has been demonstrated in leaves of some tree species, but is controversial in stems. In this study, we investigated the seasonality of stem xylem resistance to embolism in six temperate woody species (four deciduous and two evergreen tree species) that were grown at the same site. The xylem conduit anatomy, the concentrations, and ratios of the main cation in the xylem sap, as well as the content of nonstructural carbohydrates (including soluble sugars and starch) were measured in each species under each season to reveal the potential mechanisms of seasonal change in embolism resistance. The stem of all species showed increasing resistance to embolism as seasons progressed, with more vulnerable xylem in spring, but no significant adjustment in the other three seasons. The seasonal plasticity of stem embolism resistance was greater in deciduous species than in evergreen. On a seasonal scale, conduit diameter and conduit implosion resistance, the ratios of K+/Ca2+ and K+/Na+, and starch content were generally not correlated with embolism resistance, suggesting that these are probably not the main drivers of seasonal plasticity of stem embolism resistance. The seasonality of embolism resistance provides critical information for better understanding plant hydraulics in response to seasonal environments, especially under climate change.

The flavivirus West Nile Virus (WNV), which is transmitted by mosquitoes, poses a significant threat to both humans and animals, and its outbreaks often challenge public health in Europe and other continents. In recent years, there is an increasing trend of WNV incidence rates across several European countries. However, whether there is a year-round circulation or seasonal introduction has yet to be elucidated. Real-time polymerase chain reaction (PCR) identified WNV-positive Culex pipiens mosquitos in 6 out of 146 pools examined in winter 2022 that correspond to three out of the 24 study areas, located in two coastal regions units in Attica, Greece. Spatial dispersion of the six positive pools in the same region suggests a clustered circulation of WNV during the winter of 2022. This is the first study that documents the identification of WNV in Cx. pipiens populations, captured in adult traps during winter period. Our findings underscore the need to extend entomological surveillance programs to include the winter period, specifically in temperate climates and historically affected areas by WNV.

Climate change reduces snowpack, advances snowmelt phenology, drives summer warming, alters growing season precipitation regimes, and consequently modifies vegetation phenology in mountain systems. Elevational migrants track spatial variation in seasonal plant growth by moving between ranges at different elevations during spring, so climate-driven vegetation change may disrupt historic benefits of migration. Elevational migrants can furthermore cope with short-term environmental variability by undertaking brief vertical movements to refugia when sudden adverse conditions arise. We uncover drivers of fine-scale vertical movement variation during upland migration in an endangered alpine specialist, Sierra Nevada bighorn sheep (Ovis canadensis sierrae) using a 20-year study of GPS collar data collected from 311 unique individuals. We used integrated step-selection analysis to determine factors that promote vertical movements and drive selection of destinations following vertical movements. Our results reveal that relatively high temperatures consistently drive uphill movements, while precipitation likely drives downhill movements. Furthermore, bighorn select destinations at their peak annual biomass and maximal time since snowmelt. These results indicate that although Sierra Nevada bighorn sheep seek out foraging opportunities related to landscape phenology, they compensate for short-term environmental stressors by undertaking brief up- and downslope vertical movements. Migrants may therefore be impacted by future warming and increased storm frequency or intensity, with shifts in annual migration timing, and fine-scale vertical movement responses to environmental variability.

This study was to investigate the relationship between spring pollen distribution concentration, species and the detection results of air-borne pollen allergens in Taiyuan City, Shanxi Province during March to May 2022 and March to May 2023.A retrospective study was conducted in the Otorhinolaryngology Head and Neck Surgery Clinic of the First Hospital of Shanxi Medical University.Pollen particles will be monitored by gravity sedimentation method on the roof of the outpatient department of the First Hospital of Shanxi Medical University in downtown Taiyuan from March to May 2022-2023, and pollen species and quantity will be observed and recorded under an optical microscope.The air-borne pollen allergen detection results of all allergic rhinitis patients in the otolaryngology Head and Neck surgery Department of the First Hospital of Shanxi Medical University were extracted from the relevant outpatient system. SPSS software and Pearson correlation analysis were used to compare the correlation between the allergens and the dominant air-borne pollen monitoring results. Results are as follows: (1)A total of 18 species of spring pollen in Taiyuan City were monitored in 2022-2023, with 101 177.5 grains, and the dominant airborne pollen was poplar (16.69%) and pine (29.06%) pollen. The pollen of poplar (11.96%), elm (7.89%) and cypress (8.68%) were dominant in early spring; Pine (25.16%) pollen predominated in late spring. The two peaks of pollen dispersal in Taiyuan were in late March (15 479 grains) and early and mid May (15 094/15 343 grains).(2) The positive rates of allergens in serum specific IgE detection were: wormwood (46%, 248/541 cases), tree combination (26%, 143/541 cases), ragweed (19%, 101/541 cases), humulus scandens (9%, 49/541 cases).(3)There was a linear positive correlation between the positive rate of air-borne pollen allergens in allergic rhinitis patients in the Department of Otolaryngology Head and Neck Surgery in the First Hospital of Shanxi Medical University and the dominant air-borne pollen concentration in the same period (P<0.05, r=0.999). In conclusion, two spring pollen dispersal peaks were formed in late March and early to mid May in Taiyuan City, and the dominant air-borne pollens were poplar and pine pollens. The positive rate of air borne pollen allergen sIgE showed that wormwood allergy was the highest.There was a positive correlation between the concentration of air-borne pollen and the positive rate of air-borne pollen allergens in patients with allergic rhinitis in the Department of otorhinolaryngology and head and neck surgery in Taiyuan in 2022 and 2023.The monitoring of pollen distribution in spring can provide an important scientific basis for clinical workers to formulate prevention and treatment plans for patients with allergic rhinitis in the season, and provide data reference for the epidemiological investigation of allergic diseases in Taiyuan in the future.
本研究探讨山西省太原市2022年3—5月与2023年3—5月两年间春季花粉播散浓度、种类与患者气传花粉变应原检测结果的关系。采用回顾性研究方法，本研究于山西医科大学第一医院耳鼻咽喉头颈外科门诊展开。2022—2023年两年的3—5月在位于太原市中心地区的山西医科大学第一医院门诊部楼顶，利用重力沉降法监测花粉颗粒，并在光学显微镜下观察记录花粉种类和数量。从门诊相关系统中提取所有同期山西医科大学第一医院耳鼻咽喉头颈外科门诊过敏性鼻炎患者气传花粉变应原检测结果，利用SPSS软件并采用Pearson 相关性分析法比较其与优势气传花粉监测结果之间的相关性。结果显示，（1）共监测到2022—2023两年太原市春季花粉18种，101 177.5粒，优势气传花粉为杨树（16.69%）和松树（29.06%）花粉。早春以杨树（11.96%）、榆树（7.89%）、柏树（8.68%）花粉播散为主；晚春以松树（25.16%）花粉为主。太原市花粉播散两个高峰期为3月下旬（15 479粒）与5月上中旬（15 094/15 343粒）。（2）变应原血清特异性IgE检测中，变应原的检出阳性率依次是：蒿草（46%，248/541例）、树木组合（26%，143/541例）、豚草（19%，101/541例）、葎草（9%，49/541例）。（3）山西医科大学第一医院耳鼻咽喉头颈外科门诊过敏性鼻炎患者气传花粉变应原检测结果阳性率与同期优势气传花粉浓度之间存在线性正相关（P<0.05，r=0.999）。综上，太原市3月下旬与5月上中旬形成两个春季花粉播散高峰期，优势气传花粉为杨树和松树花粉；气传花粉变应原sIgE结果阳性率显示蒿草过敏阳性率最高；2022—2023年两年间太原春季优势气传花粉浓度同耳鼻咽喉头颈外科门诊过敏性鼻炎患者的气传花粉变应原检测结果阳性率呈正相关。春季花粉播散规律的监测，能为制定当季过敏性鼻炎患者预防与治疗方案提供重要依据，并为今后太原市过敏性疾病的流行病学调查提供数据参考。.

Biotic interactions play a critical role in shaping patterns of global biodiversity. While several macroecological studies provide evidence for stronger predation in tropical regions compared with higher latitudes, results are variable even within the tropics, and the drivers of this variability are not well understood. We conducted two complementary standardized experiments on communities of sessile marine invertebrate prey and their associated predators to test for spatial and seasonal differences in predation across the tropical Atlantic and Pacific coastlines of Panama. We further tested the prediction that higher predator diversity contributes to stronger impacts of predation, using both direct observations of predators and data from extensive reef surveys. Our results revealed substantially higher predation rates and stronger effects of predators on prey in the Pacific than in the Atlantic, demonstrating striking variation within tropical regions. While regional predator diversity was high in the Atlantic, functional diversity at local scales was markedly low. Peak predation strength in the Pacific occurred during the wet, non-upwelling season when ocean temperatures were warmer and predator communities were more functionally diverse. Our results highlight the importance of regional biotic and abiotic drivers that shape interaction strength and the maintenance of tropical communities, which are experiencing rapid environmental change.

Whether avian migrants can adapt to their changing world depends on the relative importance of genetic and environmental variation for the timing and direction of migration. In the classic series of field experiments on avian migration, A. C. Perdeck discovered that translocated juveniles failed to reach goal areas, whereas translocated adults performed \'true-goal navigation\'. His translocations of > 14 000 common starlings (Sturnus vulgaris) suggested that genetic mechanisms guide juveniles into a population-specific direction, i.e. \'vector navigation\'. However, alternative explanations involving social learning after release in juveniles could not be excluded. By adding historical data from translocation sites, data that was unavailable in Perdeck\'s days, and by integrated analyses including the original data, we could not explain juvenile migrations from possible social information upon release. Despite their highly social behaviour, our findings are consistent with the idea that juvenile starlings follow inherited information and independently reach their winter quarters. Similar to more solitarily migrating songbirds, starlings would require genetic change to adjust the migration route in response to global change.

BACKGROUND: Air pollution is a significant issue for a developing country like India and the air quality index (AQI) forecasting helps to predict air quality levels in advance and allows individuals to take precautionary measures to protect their health.
OBJECTIVE: The study aimed to forecast the AQI for an industrial area (SIDCUL, Haridwar City) using a time series regression model.
METHODS: Three years of existing AQI data points (post-COVID-19) were collected from the Uttarakhand Pollution Control Board for the SIDCUL area of Haridwar City and tried to know the status of AQI values for the following 12 months. Trend and seasonality components were seen through the decomposition process. Further, the augmented Dickey-Fuller test was applied to check the stationarity of the series before finalizing the best-suited time series model for forecasting the AQI values.
RESULTS: With the help of autocorrelation function (ACF)/partial ACF plots, a seasonal autoregressive integrated moving average (ARIMA) (0,1,0) (1,0,0)[12] model was selected with the minimum akaike information criterion (253.143) and mean absolute percentage error (17.42%). The AQI values have also been forecasted for this industrial area (SIDCUL) for the following year.
CONCLUSIONS: The seasonal ARIMA (0,1,0) (1,0,0)[12] model may be helpful to forecast the AQI values for a nonstationary time series dataset. Research indicates that the air of the SIDCUL area will become moderately polluted and may cause breathing discomfort to asthma patients\' health. The scientists might apply this model to other polluted regions of the country so that the public and the government can take preventive measures in advance.