Sensitive Region Research Articles

Projections of temperature and precipitation changes in Xinjiang from 2021 to 2050 based on the CMIP6 model.

Xinjiang is one of the most sensitive regions in China in terms of its response to climate change. Against the background of global warming, analyses and predictions using different scenarios for Xinjiang should be conducted. The spatial and temporal distribution characteristics and trends of future temperature and precipitation trends should be considered to provide a scientific basis for the government to respond to future climate change. In this paper, using the CN05.1 dataset and seven models from the sixth phase of the Coupled Model Intercomparison Project, the delta downscaling method is used to predict the temperature and precipitation changes in Xinjiang Province from 2021 to 2050 under the SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios. The results show that (1) most models of CMIP6 have a good effect on temperature simulation in Xinjiang, and the mean values as well as the trends of the temperatures expressed by the multi-model ensemble averaging are in good agreement with the observed data and have a high degree of confidence. The observed precipitation increase rate is significantly higher than that predicted by the model, and the simulation results of each model overestimate the precipitation. (2) The mean annual temperatures in the Xinjiang region increase at rates of 0.32°C/10 a, 0.46°C/10 a, 0.47°C/10 a and 0.67°C/10 a, respectively, under the four scenarios. The rates of temperature increase in the four seasons exhibit the following pattern: autumn > summer > spring > winter. (3) From 2021 to 2050, the average annual precipitation in Xinjiang will change at rates of 3.95 mm/10 a, 1.90 mm/10 a, 2.50 mm/10 a, and 8.67 mm/10 a, respectively, under the four scenarios. The precipitation amounts predicted under the different scenarios increase at the slowest rates in winter and at faster rates in spring. Spatially, the precipitation in the whole Xinjiang region under the four scenarios shows an increasing trend. Overall, except for the SSP1-2.6 scenario, the rates of increase in precipitation increase gradually in all seasons during the future period as the emission scenarios increase. Overall, the climate of the Xinjiang region will be characterized by warming and humidification from 2021 to 2050.

Multimodal Pilot Evaluation of a Hyaluronic Acid Infraorbital Filler Using Precise, Multi-Positional, 3D Imaging Quantification, Patient Reported Outcomes, and Anatomic Cadaveric Assessments

Abstract Background Despite the high demand of filler in the infraorbital area, there remains debate on injection practices, precise anatomical placement, and hyaluronic acid (HA) filler behavior. Objectives We aimed to contribute to the clinical and anatomic understanding of infraorbital HA injection via a prospective patient injection study in combination with a cadaveric analysis. Methods Patients were injected with Volbella XC into the tear trough region by a single experienced aesthetic plastic surgeon. Over a 90-day period, precise undereye volumetric measurements using 3D photogrammetry (VECTRA-M3) and patient reported outcomes (FACE-Q) were collected and analyzed relative to two pretreatment severity scales. Juvéderm Vycross and Restylane NASHA products were injected into the infraorbital and malar region in six cephalus specimens and evaluated with regards to the anatomic injection location with and without common clinical physical manipulations. Results Eleven patients participated with a 100% retention rate. Infraorbital HA volume maintenance was 70-81% at 30 days and 50-70% at 90 days. Significant improvement was noted in the eyes, overall facial appearance, and cheekbones (p<0.05) with FACE-Q outcomes, irrespective of pretreatment severity. In the cadaver examination, we observed differences in the anatomic locations occupied by Juvéderm and Restylane products as well as in behavior after physical manipulation between gel types. Conclusions Volbella XC effectively augments undereye volume to diminish infraorbital hollowing as measured over a 90-day period with significantly improved PROs. Enhanced knowledge of the behavior of Volbella XC and other HA fillers in this sensitive anatomic region will lead to improved patient outcomes.

Predicting Gross Primary Productivity under Future Climate Change for the Tibetan Plateau Based on Convolutional Neural Networks

Gross primary productivity (GPP) is vital for ecosystems and the global carbon cycle, serving as a sensitive indicator of ecosystems’ responses to climate change. However, the impact of future climate changes on GPP in the Tibetan Plateau, an ecologically important and climatically sensitive region, remains underexplored. This study aimed to develop a data-driven approach to predict the seasonal and annual variations in GPP in the Tibetan Plateau up to the year 2100 under changing climatic conditions. A convolutional neural network (CNN) was employed to investigate the relationships between GPP and various environmental factors, including climate variables, CO2 concentrations, and terrain attributes. This study analyzed the projected seasonal and annual GPP from the Coupled Model Intercomparison Project Phase 6 (CMIP6) under four future scenarios: SSP1–2.6, SSP2–4.5, SSP3–7.0, and SSP5–8.5. The results suggest that the annual GPP is expected to significantly increase throughout the 21st century under all future climate scenarios. By 2100, the annual GPP is projected to reach 1011.98 Tg C, 1032.67 Tg C, 1044.35 Tg C, and 1055.50 Tg C under the four scenarios, representing changes of 0.36%, 4.02%, 5.55%, and 5.67% relative to 2021. A seasonal analysis indicates that the GPP in spring and autumn shows more pronounced growth under the SSP3–7.0 and SSP5–8.5 scenarios due to the extended growing season. Furthermore, the study identified an elevation band between 3000 and 4500 m that is particularly sensitive to climate change in terms of the GPP response. Significant GPP increases would occur in the east of the Tibetan Plateau, including the Qilian Mountains and the upper reaches of the Yellow and Yangtze Rivers. These findings highlight the pivotal role of climate change in driving future GPP dynamics in this region. These insights not only bridge existing knowledge gaps regarding the impact of future climate change on the GPP of the Tibetan Plateau over the coming decades but also provide valuable guidance for the formulation of climate adaptation strategies aimed at ecological conservation and carbon management.

Exploring the potential for a 9000-year tree-ring chronology consisting of subfossil oak material from southern Scandinavia

In this study, we present the initial results from a long-term initiative to develop a multi-millennial tree-ring width (TRW) chronology for subfossil oak (Quercus spp.) trees in South Scandinavia. We have constructed 40 TRW chronologies, primarily from oak trunks extracted from peatlands, archaeological sites, drainage ditches, and infrastructure projects, as well as some submerged material. The trees included in these chronologies have been dendrochronologically dated and/or dated by radiocarbon, showing a temporal spread from 6911 ± 246 BCE to 1117 CE. Significant assemblages of trees are found during the periods 6000–4500 BCE, 3500–2600 BCE, 1750–1200 BCE, 900–400 BCE, and 200 BCE–500 CE, with intervening periods exhibiting low sample replication or gaps. The paleoclimatic information extracted from TRW and replication data may vary based on the substrate in which the trees were rooted, geographical locations, and the prevailing climate conditions during their growth. Nevertheless, extending the oak TRW chronologies is crucial because (1) no such long and annually resolved climate records from southern Scandinavia exist, (2) there is a widespread lack of detailed paleoclimatic proxies spanning multi-millennial periods, and (3) it will provide an essential dating tool for wooden archaeological artifacts. This study is the first in a series aimed at refining paleoclimatic and ecological reconstructions in southern Scandinavia. It demonstrates the potential to develop South Scandinavian TRW chronologies covering the last 9000 years, filling a geographical gap in an ecologically sensitive region.

8302 A Novel Tool to Map Estrogen Responsiveness Within Estrogen Sensitive Hypothalamic Neurons in Mice

Abstract Disclosure: A.L. Cara: None. A.L. Hall: None. K.K. Soma: None. J. van Veen: None. S.M. Correa: None. Identification of hormone sensitive cells has been traditionally evaluated by hormone receptor expression. Receptor positive cells can be labeled via expression of mRNA transcript via in situ hybridization, presence of protein via immunohistology, or via conditionally-dependent Cre recombinase driven reporter expression. However, these methods used to label and manipulate cells only indicate which cells are capable of sensing hormones, and not necessarily which cells are responding to a hormonal signal in a specific physiologic or behavioral context. Furthermore, broad labeling of all receptor positive cells may not accurately reflect the heterogeneous nature of certain cell populations, particularly in the brain. The hypothalamus is a brain region with well characterized hormone receptor expression, including estrogen receptors, such as ERα (encoded by the Esr1 gene). Estrogens have a broad array of physiologic and behavioral functions which are mediated through hypothalamic nuclei, including thermoregulation, metabolism, and reproduction. Neuronal populations mediating these functions have been characterized, targeted, and manipulated based on ERα expression, but the dynamic response to estrogens in these highly heterogeneous populations has yet to be uncovered. We developed a custom reporter virus that fluorescently labels estrogen-sensitive and responsive cells. The virus contains a flip-excision switch (FLEX) to drive Cre-dependent expression of a FusionRed fluorescent reporter, eight tandem estrogen response elements (ERE), and a destabilized enhanced green fluorescent protein (EGFP) with a 2-hour half-life. The Cre-dependent expression of FusionRed identifies all Esr1-Cre cells at the time of transduction, while the ERE-EGFP identifies a subset of Esr1-Cre+ cells that are actively responding to estrogens via nuclear receptor signaling. We stereotactically injected the ERE-EGFP virus to distinct hypothalamic nuclei of Esr1-Cre female mice. Following transduction, mice were sacrificed during different stages of the estrous cycle. Spatial analysis of ERE-EGFP expression revealed dynamic changes across the estrous cycle, with responses differing based on hypothalamic nucleus. Reporter expression dynamics were compared to estrogen levels measured by LC-MS/MS in ovary, serum, and microdissected brain tissue. A separate group of mice were ovariectomized and given estradiol benzoate (EB) or vehicle control, and neurons were flow sorted for bulk RNA sequencing. We discovered transcriptomic differences in FusionRed+ cells with high or low ERE-EGFP expression, including upregulation of estrogen target genes (e.g., Pgr, encoding progesterone receptor) with EB treatment in ERE-EGFP+ cells. In summary, this new viral reporter reveals divergent responses to estrogens across subsets of estrogen sensitive neurons, brain regions, and hormonal states. Presentation: 6/2/2024

Wireless Micro Current Stimulation (WMCS) therapy to enhance burn wound healing: A randomized clinical trial

BackgroundPediatric burn injuries are often associated with significant morbidity, and require specialized care. The primary advantage of Wireless Micro Current Stimulation (WMCS) is the ability to deliver electric current without direct contact with the wound, which is particularly advantages in the pediatric population, wounds over multiple areas, and over sensitive regions. MethodsA prospective, randomized trial was performed. Patients with partial thickness burns were recruited into the study over a 5-year period, and randomly assigned to one of two groups – Conventional dressings group and WMCS therapy group. Time to wound healing, adverse effects and risk of burn wound conversion were evaluated. ResultsAverage percentage of total body surface area (TBSA%) of burn injuries for patients in both groups were 1.39% and 2.78% respectively.Median time to healing was 2 days faster in WMCS group (6 days vs 8 days; p=0.0057). 1 burn (5.9%) from WMCS group and 5 (20.8%) from conventional dressings group progressed to deeper injuries (p=0.261). Most common symptoms reported during therapy in both groups were pain and itch. ConclusionOur study shows statistically significant improvement in healing time with WMCS therapy. This is despite two times higher average TBSA% noted in the WMCS group.

Impact of Summer North Atlantic Sea Surface Temperature Tripole on Precipitation over Mid–High-Latitude Eurasia

Abstract Eurasia is a sensitive and high-risk region for global climate changes, where climate anomalies significantly influence natural ecosystems, human health, and economic development. The North Atlantic tripole (NAT) sea surface temperature anomaly is crucial to interannual precipitation variations in Eurasia. Several studies have focused on the link between the NAT and climate anomalies in winter and spring. However, the mechanism by which the summer NAT impacts climate anomalies in Eurasia remains unclear. This study examines how the NAT impacts interannual variations of summer precipitation in mid–high-latitude Eurasia. Precipitation variations are associated with the atmospheric teleconnection triggered by the NAT. When the NAT is in its positive phase, the anomalous atmospheric diabatic heating over the North Atlantic excites an equivalent-barotropic Rossby wave train response that propagates eastward toward Eurasia, resulting in atmospheric circulation anomalies over the region. The combined effects of atmospheric circulation, radiative forcing, and water vapor transport anomalies lead to decreased precipitation across northern Europe and central Eurasia, with higher precipitation anomalies over northeast Asia. Finally, numerical experiments verify that the summer NAT excites atmospheric teleconnections that propagate downstream, affecting precipitation anomalies in mid–high-latitude Eurasia. This study provides a scientific basis for predicting Eurasian summer precipitation and strengthening disaster management strategies.

Indoor Direct Comparison between High-Accuracy Pyrheliometer and Room Temperature Absolute Radiometer

Abstract This article proposes a practicable indoor method by directly comparing the pyrheliometer with the room temperature absolute radiometer (RTAR) to overcome the inconvenience of outdoor pyrheliometer calibration caused by the limitation of weather conditions. The RTAR serves as the primary standard for radiant power, irradiance, illuminance, and candela at the Center for Measurement Standards/ITRI. Given that the RTAR and pyrheliometer exhibit different sensitivity curves, the key to a successful comparison lies in designing an incident beam that enables both the RTAR and pyrheliometer to operate within their respective uniform sensitivity regions. While the indoor incident beam’s irradiance is considerably lower than solar radiation, the comparison results demonstrate a quite well measurement consistence between the RTAR and the pyrheliometer. As the indoor method is insusceptible to weather, the complex data acquisition procedures for the outdoor method can be simplified due to the stable incident beam indoors. Despite current documentary standards recommending outdoor calibration and comparison for pyrheliometer, the indoor method presented in this article can serve as a supplementary approach for assessing the accuracy of pyrheliometers during the intervals between two calibration or comparison events.

Research on variety identification of common bean seeds based on hyperspectral and deep learning

Accurate, fast and non-destructive identification of varieties of common bean seeds is important for the cultivation and efficient utilization of common beans. This study is based on hyperspectral and deep learning to identify the varieties of common bean seeds non-destructively. In this study, the average spectrum of 3078 hyperspectral images from 500 varieties was obtained after image segmentation and sensitive region extraction, and the Synthetic Minority Over-sampling Technique (SMOTE) was used to achieve the equilibrium of the samples of various varieties. A one-dimensional convolutional neural network model (IResCNN) incorporating Inception module and residual structure was proposed to identify seed varieties, and Support Vector Machine (SVM), K-Nearest Neighbor (KNN), VGG19, AlexNet, ResNet50 were established to compare the identification effect. After analyzing the effects of multiple spectral preprocessing methods on the model, the study selected Savitzky-Golay smoothing correction (SG) for spectral preprocessing and extracted 66 characteristic wavelengths using Successive Projections Algorithm (SPA) as inputs to the discriminative model. Ultimately, the IResCNN model achieved the highest accuracy of 93.06 % on the test set, indicating that hyperspectral technology can accurately identify bean varieties, and the study provides a correct method of thinking for the non-destructive classification of multi-species small-sample bean varieties.

The Early Career of Köprülü Mehmed Pasha: An Archival Reconstruction

Abstract The grand vizier Köprülü Mehmed Pasha (d. 1661) stands out as one of the most celebrated figures of Ottoman history, but despite his prominence, the basic contours of his earlier life remain largely unknown, and most of what is known derives from narrative accounts produced long after his death. This study utilizes archival sources to reconstruct Köprülü's career prior to his 1656 promotion to the grand vizierate. It reveals a major gap in the narrative sources: in 1653, when Köprülü is supposed to have been politically inactive, he was actually serving as a provincial governor in the sensitive region of Karaman in south-central Anatolia. At that time, a rebel faction was active in the area, and evidence indicates that Köprülü aligned with them. Elements of this faction, under Abaza Hasan's leadership, would later go on to rebel against Köprülü himself in 1658. Köprülü's ties to this rebel faction stand in sharp contrast to his later historical image as a paragon of order and central authority. An understanding of this period thus permits a reevaluation not only of Köprülü's political character, but also of how his supporters worked to construct his image in the aftermath of Abaza Hasan's rebellion.

Trajectory Privacy-Protection Mechanism Based on Multidimensional Spatial–Temporal Prediction

The popularity of global GPS location services and location-enabled personal terminal applications has contributed to the rapid growth of location-based social networks. Users can access social networks at anytime and anywhere to obtain services in the relevant location. While accessing services is convenient, there is a potential risk of leaking users’ private information. In data processing, the discovery of issues and the generation of optimal solutions constitute a symmetrical process. Therefore, this paper proposes a symmetry–trajectory differential privacy-protection mechanism based on multi-dimensional prediction (TPPM-MP). Firstly, the temporal attention mechanism is designed to extract spatiotemporal features of trajectories from different spatiotemporal dimensions and perform trajectory-sensitive prediction. Secondly, class-prevalence-based weights are assigned to sensitive regions. Finally, the privacy budget is assigned based on the sensitive weights, and noise conforming to localized differential privacy is added. Validated on real datasets, the proposed method in this paper enhanced usability by 22% and 37% on the same dataset compared with other methods mentioned, while providing equivalent privacy protection.

Combined Effects of Nitrogen Addition and Warming on Shrub Growth and Nutrient Uptake through Microbially Mediated Soil Fertility

Plant restoration strategies are ubiquitously employed for the purposes of soil and water conservation and ecological improvement in forest ecosystems. Despite N and temperature being acknowledged as pivotal factors affecting plant restoration outcomes, their effects on soil fertility, microbial communities, and shrub biomass remain underexplored, particularly in the loess hilly regions of China. Here, we examined the growth patterns and nutrient acquisition abilities of three shrub species, Periploca sepium, Amorpha fruticosa, and Vitex negundo, along with the attendant alterations in soil properties and microbial community composition under controlled greenhouse conditions. Specifically, we imposed three levels of N fertilization (200, 400, and 600 kg ha−1; designated as N1, N2, and N3, respectively) and temperature regimes (18–23, 25–30, and 32–37 °C; labeled T1, T2, and T3, respectively). The results indicated a significant interplay between the combination of N fertilization and temperature significantly affecting shrub growth. Optimal growth conditions, as evidenced by the highest dry biomass accumulation, were identified as N3T1 for A. fruticosa, N1T1 for P. sepium, and N2T2 for V. negundo, with these conditions differentially influencing roots, stems, and leaves. Furthermore, soil microorganisms also responded significantly to the N fertilization and temperature. However, this was largely dependent on shrub species and soil nutrients. For A. fruticosa under N3T1 conditions, Actinobacteria and Basidiomycota abundances correlated strongly with soil C, N, and P contents, while leaf N uptake significantly correlated with the structure of both bacterial and fungal communities. For P. sepium at N1T1, Acidobacteriota was dominant in response to soil N and C, while leaf C uptake and leaf and stem N uptake positively correlated with bacterial and fungal communities, respectively. For V. negundo at N2T2, Chloroflexi had the greatest abundance, responding to the greatest variation in soil N and C, while its stem N uptake was significantly related to the structure of the fungal communities. Thus, our findings underscored the intricate interplay between abiotic factors, shrub growth, soil fertility, and microbial community dynamics, providing insights into the optimization of plant restoration efforts in ecologically sensitive regions.

A Comparative Review of Meshed Versus Unmeshed Grafts in Split-Thickness Skin Grafting: Clinical Implications and Outcomes.

Split-thickness skin grafting (STSG) is a cornerstone technique in reconstructive surgery, offering solutions for covering wounds, burns, and other skin defects. This review compares meshed versus unmeshed STSG, focusing on their clinical implications and outcomes. Meshed grafts, created by perforating the skin graft to form a mesh-like pattern, are frequently used for larger or irregularly shaped areas due to their ability to expand and conform to the underlying tissue. In contrast, unmeshed grafts are applied as whole sheets, making them suitable for smaller or cosmetically sensitive regions where appearance is paramount. This review examines various aspects of these graft types, including graft survival rates, aesthetic and functional results, healing times, and complications such as infection and graft contraction. This study aims to identify the relative advantages and drawbacks of meshed versus unmeshed grafts by analyzing data from clinical trials, meta-analyses, and systematic reviews. The findings highlight that while meshed grafts offer improved coverage and reduced risk of graft failure, unmeshed grafts are preferred for their superior cosmetic outcomes. Understanding these differences is crucial for optimizing surgical strategies and improving patient outcomes. The review also addresses patient-specific factors and recommends selecting the appropriate graft type based on clinical scenarios.

Spatial regulation of NMN supplementation on brain lipid metabolism upon subacute and sub-chronic PM exposure in C57BL/6 mice

BackgroundAtmospheric particulate matter (PM) exposure-induced neuroinflammation is critical in mediating nervous system impairment. However, effective intervention is yet to be developed.ResultsIn this study, we examine the effect of β-nicotinamide mononucleotide (NMN) supplementation on nervous system damage upon PM exposure and the mechanism of spatial regulation of lipid metabolism. 120 C57BL/6 male mice were exposed to real ambient PM for 11 days (subacute) or 16 weeks (sub-chronic). NMN supplementation boosted the level of nicotinamide adenine dinucleotide (NAD+) in the mouse brain by 2.04 times. This augmentation effectively reduced neuroinflammation, as evidenced by a marked decrease in activated microglia levels across various brain regions, ranging from 29.29 to 85.96%. Whole brain lipidomics analysis revealed that NMN intervention resulted in an less increased levels of ceramide (Cer) and lysophospholipid in the brain following subacute PM exposure, and reversed triglyceride (TG) and glycerophospholipids (GP) following sub-chronic PM exposure, which conferred mice with anti-neuroinflammation response, improved immune function, and enhanced membrane stability. In addition, we demonstrated that the hippocampus and hypothalamus might be the most sensitive brain regions in response to PM exposure and NMN supplementation. Particularly, the alteration of TG (60:10, 56:2, 60:7), diacylglycerol (DG, 42:6), and lysophosphatidylcholine (LPC, 18:3) are the most profound, which correlated with the changes in functional annotation and perturbation of pathways including oxidative stress, inflammation, and membrane instability unveiled by spatial transcriptomic analysis.ConclusionsThis study demonstrates that NMN intervention effectively reduces neuroinflammation in the hippocampus and hypothalamus after PM exposure by modulating spatial lipid metabolism. Strategies targeting the improvement of lipid homeostasis may provide significant protection against brain injury associated with air pollutant exposure.

Impact of variety and drying methods on the physicochemical, functional, and thermal properties of Ethiopian potato (Plectranthus edulis) tuber flour

This study aimed to analyse the physicochemical, structural, functional, and thermal properties of flour from two indigenous Ethiopian Potato (Plectranthus edulis) varieties, Chanqua and Loffo, and to compare with wheat flour (WF). The study also investigated how oven and sun drying methods affected the physicochemical properties of the flours. The results demonstrated a significant distinction (p ≤ 0.05) between the flour samples and WF, attributable to variations in both the varieties and the drying methods except that no significant difference in pH was observed due to the varieties, and the fibre and ash content did not vary significantly with the drying methods. The moisture content (MC) of the flours ranged from 5.72 % in oven-dried Chanqua Ethiopian potato flour (OD-CEPF) to 7.53 % in sun-dried Loffo Ethiopian potato flour (SD-LEPF), both of which were lower compared to WF. The protein content varied from 4.47 % (SD-CEPF) to 5.93 % (OD-LEPF). FTIR tests revealed a significant impact on the structural changes, leading to variations in the location and intensity of infrared absorption peaks, particularly in sensitive regions. Whereas, the XRD patterns showed characteristic B-type diffraction, with a relative crystallinity (RC) of 31.97 % in CEPF and 30.53 % in LEPF having a significant difference (p ≤ 0.05) between them. LEPF had better flow properties than CEPF, with lower Hausner ratio (HR) (1.16 vs. 1.25), Carr's index (CI) (14.51 % vs. 20.26 %), and angle of repose (31.00° vs. 34.67°). It also showed significantly higher (p ≤ 0.05) water absorption capacity (WAC), oil absorption capacity (OAC) and swelling power (SP) properties than CEPF. The study also indicated notable distinctions in the thermal and paring properties of flours. The oven drying method was found to be superior in enhancing the physicochemical properties, with LEPF showing better physicochemical, functional, structural, and thermal properties than CEPF.

Understanding the Source and Evolution of Precipitation Stable Isotope Composition across O‘ahu, Hawai‘i

Abstract Pacific Islands present unique challenges for water resource management due to their environmental vulnerability, dynamic climates, and heavy reliance on groundwater. Quantifying connections between meteoric, ground, and surface waters is critical for effective water resource management. Analyses of the stable isotopes of oxygen and hydrogen in the hydrosphere can help illuminate such connections. This study investigates the stable isotope composition of rainfall on O‘ahu in the Hawaiian Islands, with a particular focus on how altitude impacts stable isotope composition. Rainfall was sampled at 20 locations from March 2018 to August 2021. The new precipitation stable isotope data were integrated with previously published data to create the most spatially and topographically diverse precipitation collector network on O‘ahu to date. Results show that δ18O and δ2H values in precipitation displayed distinct isotopic signatures influenced by geographical location, season, and precipitation source. Altitude and isotopic compositions were strongly correlated along certain elevation transects, but these relationships could not be extrapolated to larger regions due to microclimate influences. Altitude and deuterium excess were strongly correlated across the study region, suggesting that deuterium excess may be a reliable proxy for precipitation elevation in local water tracer studies. Analysis of spring, rainfall, and fog stable isotope composition from Mount Ka‘ala suggests that fog may contribute up to 45% of total groundwater recharge at the summit. These findings highlight the strong influence of microclimates on the stable isotope composition of rainfall, underscore the need for further investigation into fog’s role in the water budget, and demonstrate the importance of stable isotope analysis for comprehending hydrologic dynamics in environmentally sensitive regions.

CWRF Downscaling with Improved Land Surface Initialization Enhances Spring–Summer Seasonal Climate Prediction Skill in China

Abstract This study investigates skill enhancement in operational seasonal forecasts of Beijing Climate Center’s Climate System Model through regional Climate–Weather Research and Forecasting (CWRF) downscaling and improved land initialization in China. The downscaling mitigates regional climate biases, enhancing precipitation pattern correlations by 0.29 in spring and 0.21 in summer. It also strengthens predictive capabilities for interannual anomalies, expanding skillful temperature forecast areas by 6% in spring and 12% in summer. Remarkably, during 7 of 10 years with relatively high predictability, the downscaling increases average seasonal precipitation anomaly correlations by 0.22 and 0.25. Additionally, the substitution of initial land conditions via a Common Land Model integration reduces snow cover and cold biases across the Tibetan Plateau and Mongolia–northeast China, consistently contributing to CWRF’s overall enhanced forecasting capabilities. Improved downscaling predictive skill is attributed to CWRF’s enhanced physics representation, accurately capturing intricate regional interactions and associated teleconnections across China, especially linked to the Tibetan Plateau’s blocking and thermal effects. In summer, CWRF predicts an intensified South Asian high alongside a strengthened East Asian jet compared to CSM, amplifying cold air advection and warm moisture transport over central to northeast regions. Consequently, rainfall distributions and interannual anomalies over these areas experience substantial improvements. Similar enhanced circulation processes elucidate skill improvement from land initialization, where the accurate specification of initial snow cover and soil temperature within sensitive regions persists in influencing local and remote circulations extending beyond two seasons. Our findings emphasize the potential of improving physics representation and surface initialization to markedly enhance regional climate predictions.

Signals of soil formation during pre-glacial maximum on the byers peninsula (maritime antarctica)

The Maritime Antarctic is one of the most sensitive regions on Earth to warming, recording permafrost degradation and glacial retreat in the last 10 kyr. The timing of deglaciation and the pedological implications are still poorly elucidated in many ice-free areas of the Antarctic. The severity of the Last Glacial Maximum (LGM) across the Maritime Antarctic has limited paleoenvironmental records of pre-LGM terrestrial signals, constraining knowledge of climate trends in the Late Pleistocene. Byers Peninsula is one of the most extensive ice-free areas in the Maritime Antarctic. So, we hypothesized that soils in Byers Peninsula host Pleistocene sedimentological and pedological evidence of landscape evolution. This study investigated soil genesis in Byers Peninsula. Radiocarbon and OSL dates provided a chronology of nine soil profiles. Morphological, physical, and chemical analysis characterized soil formation. Isotopic composition of organic matter tracked the main photosynthetic processes. Endolithic soil organic matter in a pre-LGM soil indicates soil genesis at 31,690 cal yr BP, much earlier than the common age models of approximately 10,000 cal yr BP in previous studies. Burial and 14C ages in Cryosols formed on beach sediments above 70 m and on cliffs suggest marine terrace uplift and soil genesis in cliffs during the Late Pleistocene-Early Holocene. Younger Cryosols and Leptosols soils formed on raised beaches in Late Holocene. These findings suggest an older glacial retreat in the Maritime Antarctic. Soil proxies in potential pre-LGM ice-free areas are promising tools for paleoenvironmental reconstructions of the Maritime Antarctic.

Spatial and Temporal Dynamics in Vegetation Greenness and Its Response to Climate Change in the Tarim River Basin, China

Vegetation in ecologically sensitive regions has experienced significant alterations due to global climate change. The underlying mechanisms remain somewhat obscure owing to the spatial heterogeneity of influencing factors, particularly in the Tarim River Basin (TRB) in China. Therefore, this study targets the TRB, analyzing the spatial and temporal dynamics of vegetation greenness and its climatic determinants across multiple spatial scales. Utilizing Normalized Difference Vegetation Index (NDVI) data, vegetation greenness trends over the past 23 years were assessed, with future projections based on the Hurst exponent. Partial correlation and multiple linear regression analyses were employed to correlate NDVI with temperature (TMP), precipitation (PRE), and potential evapotranspiration (PET), elucidating NDVI’s response to climatic variations. Results revealed that from 2000 to 2022, 90.1% of the TRB exhibited an increase in NDVI, with a significant overall trend of 0.032/decade (p < 0.01). The difference in NDVI change across sub-basins and vegetation types highlighted the spatial disparity in greening. Notable greening predominantly occurred near rivers at lower elevations and in extensive cropland areas, with projections indicating continued greening in some regions. Conversely, future trends mainly suggested a shift towards browning, particularly in higher-elevation areas with minimal human influence. From 2000 to 2022, the TRB experienced a gradual increase in TMP, PRE, and PET. The latter two factors were significantly correlated with NDVI, indicating their substantial role in greening. However, vegetation sensitivity to climate change varied across sub-basins, vegetation types, and elevations, likely due to differences in plant characteristics, hydrothermal conditions, and human disturbances. Despite climate change influencing vegetation dynamics in 51.5% of the TRB, its impact accounted for only 25% of the total NDVI trend. These findings enhance the understanding of vegetation ecosystems in arid regions and provide a scientific basis for developing ecological protection strategies in the TRB.

The World s Leading Transport and Transit Hub: Azerbaijan-Türkiye-Georgia

In the new world order established after the collapse of the USSR at the end of the 20th century, mutual and beneficial cooperation between states located in close geographical proximity came to the fore. In this regard, the South Caucasus, as one of the most sensitive geopolitical regions of the world with rich resources, stands out. New formats of cooperation began to emerge in the Caucasus. Principally, high-level strategic relations have been established between Türkiye, Azerbaijan and Georgia. Cooperation between the countries was expanded for the most part in the field of transport. Obviously, the creation of the Azerbaijan-Georgia-Türkiye triangle was caused by historical and cultural ties, geographic neighborhood, being part of a single transit corridor, favorable conditions and political will. The territory of Georgia was especially stand in need of the general infrastructure transport projects implementation in the region. Due to the fact that Georgia is a transit country, that ensures the transition between Europe and Asia. Furthermore, the aggressive policy of Armenia, another South Caucasus country, made Georgia a country of convenience. All the same, the establishment of a railway connection between the three countries has formed a favorable ground for Central Asian republics, which have great transport potential, to Türkiye and other European countries. Currently, cooperation relations between the three states in both bilateral and multilateral formats are to be remained unaltered. In terms of transport and transit issues, the region will gain a more significant position with the implementation of projects between Türkiye , Georgia, and Azerbaijan.