Search Results (99)

There are many controversies over the material sources of the Late Paleozoic strata in the Lower Yangtze region, and there is a lack of consensus on the basin source–sink system, which hinders the reconstruction of Late Paleozoic paleogeography and exploration of energy and mineral resources in the area. This study aimed to clarify the sedimentary provenance and tectonic background of the Upper Permian Longtan Formation in the Chizhou area of southern Anhui Province. The key objectives were to: (i) analyze the geochemical characteristics of sandstones using major, trace, and rare earth elements; (ii) determine the tectonic setting of the sediment source region based on discrimination diagrams; and (iii) integrate geochemical, sedimentological, and paleocurrent data to reconstruct the source-to-sink system. The geochemical data suggest that the sandstone samples exhibit relatively high SiO₂, Fe₂O₃, MgO, and Na₂O content and relatively low TiO₂, Al₂O₃, and K₂O content, consistent with average values of post-Archean Australian shale (PAAS) and the upper continental crust (UCC). The chondrite-normalized rare earth element patterns resemble PAAS, with enrichment in light REEs and depletion in heavy REEs. Tectonic discrimination diagrams indicate a provenance from active continental margins and continental island arcs, with minor input from passive continental margins. Combined with regional tectonic context and paleocurrent measurements, the results suggest that the Longtan Formation sediments primarily originated from the Neoproterozoic Jiangnan orogenic belt and the Cathaysia Block, notably the Wuyi terrane. These research results not only provide new geological data for further clarifying the provenance of Late Paleozoic sedimentary basins in the Lower Yangtze region but also establish the foundation for constructing the Late Paleozoic tectonic paleogeographic pattern in South China. Full article

The chlorophyll-a (Chl-a) concentration in lakes is a crucial parameter for monitoring water quality and assessing phytoplankton abundance. However, accurately retrieving Chl-a concentrations remains a significant challenge in remote sensing. To address the limitations of existing methods in terms of modeling efficiency and adaptability, this study focuses on Lake Nanyi in Anhui Province. By integrating Sentinel-2 satellite imagery with in situ water quality measurements and employing the AutoML framework AutoGluon, a Chl-a inversion model based on narrow-band spectral features is developed. Feature selection and model ensembling identify bands B6 (740 nm) and B7 (783 nm) as the optimal combination, which are then applied to multi-temporal imagery from October 2022 to generate spatial mean distributions of Chl-a in Lake Nanyi. The results demonstrate that the AutoGluon framework significantly outperforms traditional methods in both model accuracy (R²: 0.94, RMSE: 1.67 $\mathsf{\mu }$g/L) and development efficiency. The retrieval results reveal spatial heterogeneity in Chl-a concentration, with higher concentrations observed in the southern part of the western lake and the western side of the eastern lake, while the central lake area exhibits relatively lower concentrations, ranging from 3.66 to 21.39 $\mathsf{\mu }$g/L. This study presents an efficient and reliable approach for lake ecological monitoring and underscores the potential of AutoML in water color remote sensing applications. Full article

Driven by the global energy transition and China’s dual-carbon targets, Passive ultra-low-energy buildings are a key route for carbon reduction in the construction sector. This study addresses the high energy demand of office buildings and the limited suitability of current efficiency codes in the hot-summer/cold-winter, high-humidity zone of central and southern Anhui. Using multi-year climate records and energy-use surveys from five cities and one scenic area (2013–2024), we systematically investigate climate-adaptive passive-design strategies. Climate-Consultant simulations identify composite envelopes, external shading, and natural ventilation as the three most effective measures. Empirical evidence confirms that optimized envelope thermal properties significantly curb heating and cooling loads; a Huangshan office-building case validates the performance of the proposed passive measures, while analysis of a near-zero-energy demonstration project in Chuzhou yields a coordinated insulation-and-heat-rejection scheme. The results demonstrate that region-specific passive design can provide a comprehensive technical framework for ultra-low-energy buildings in transitional climates and thereby supporting China’s carbon-neutrality targets. Full article

Investigating the spatial distribution of chromium (Cr) in soil is essential for understanding Cr pollution and accurately assessing associated environmental risks. However, field sampling is challenging due to limited sampling points, and the spatial distribution of Cr is affected by multiple complex environmental covariates, thereby restricting model development and prediction accuracy. This study selected the Chizhou–Xuancheng border area in southern Anhui Province as the research region and collected 2035 data points. Machine learning models, including AdaBoost, GBDT, XGBoost, and MLP, were employed to predict Cr concentrations in conjunction with environmental covariates. To address the challenges of sparse sampling data and complex data relationships for Cr prediction, the PHMS-Transformer model is proposed. Featuring a shallow encoder design, configurable pooling strategies, and a lightweight structure, the model significantly reduces the number of parameters and alleviates overfitting under sparse sampling conditions, while the incorporation of multi-head self-attention mechanisms captures complex nonlinear relationships among multi-source environmental variables relevant to Cr. To further enhance model interpretability for Cr prediction, the SHAP model was applied to identify key factors influencing Cr distribution. Comprehensive comparisons indicate that the PHMS-Transformer model achieves superior performance in predicting Cr, demonstrating high accuracy and generalization capability, with clear advantages over traditional methods. These findings offer valuable insights for soil environmental protection and Cr pollution control and possess significant theoretical and practical implications. Soil Cr pollution represents a global environmental challenge, where achieving accurate predictions for Cr is particularly crucial yet difficult in regions with constrained data accessibility. The lightweight, high-precision, and interpretable PHMS-Transformer framework proposed in this study provides an effective technical solution to the widespread challenges of sample sparsity and model complexity inherent in predicting the spatial distribution of soil Cr globally. Therefore, this work offers significant reference value for advancing global soil environmental risk assessment and Cr pollution remediation efforts. Full article

Built heritage serves as a vital repository of human history and culture, and an examination of its spatial distribution and influencing factors holds significant value for the preservation and advancement of our historical and cultural narratives. This thesis brings together various forms of built heritage, employing methodologies such as kernel density estimation, average nearest neighbor analysis, and standard deviation ellipses to elucidate the characteristics of spatial distribution. Additionally, it investigates the influencing factors through geographical detectors and Multiscale Geographically Weighted Regression (MGWR). The findings reveal several key insights: (1) In terms of geographical patterns, built heritage is predominantly located southeast of the “Hu-Huanyong” line, with notable concentrations at the confluence of Shanxi and Henan provinces, the southeastern region of Guizhou, as well as in southern Anhui, Fujian, and Zhejiang. Moreover, distinct types of built heritage exhibit marked spatial variations. (2) The reliability and significance of the analytical results derived from prefecture and city-level units surpass those obtained from grid and provincial-level analyses. Among the influencing factors, the explanatory power associated with the number of counties emerges as the strongest, while that relating to population density was the weakest; furthermore, interactions among factors that meet significance thresholds reveal enhanced explanatory capabilities. (3) Both road density and population density demonstrate positive correlations; conversely, the positive influence of topographic relief and river density accounts for 90% of their variance. GDP exhibits a negative correlation, with the number of counties contributing to 70% of this negative impact; thus, the distribution of positive and negative influences from various factors varies significantly. Drawing upon these spatial distribution characteristics and the disparities observed in regression coefficients, this thesis delves into potential influence factors and proposes recommendations for the development and safeguarding of built heritage. Full article

This study, taking Anhui Province as a case study, systematically evaluated the spatiotemporal differentiation characteristics of six ecosystem services (biodiversity maintenance, water yield, carbon fixation, vegetation net primary productivity (NPP), soil retention, and crop production) from 2000 to 2020 through the integration of multi-stakeholder decision-making preferences and the Marxan model. Four conservation scenarios (ecological security priority, social benefit orientation, minimum cost constraint, and balance synergy) were established to explore the spatial optimization pathways of ecological protection zones under differentiated policy objectives. The findings indicated that: (1) The ecosystem services in Anhui Province exhibited a “low north and high south” spatial gradient, with significant synergies observed in natural ecosystem services in the southern Anhui mountainous areas, while the northern Anhui agricultural areas were subjected to significant trade-offs due to intensive development. (2) High service provision in the southern Anhui mountainous areas was maintained by topographic barriers and forest protection policies (significant NPP improvement zones accounted for 50.125%), whereas soil–water services degradation in the northern Anhui plains was caused by agricultural intensification and groundwater overexploitation (slight soil retention degradation covered 24.505%, and water yield degradation areas reached 29.766%). Urbanization demonstrated a double-edged sword effect—the expansion of the Hefei metropolitan area triggered suburban biodiversity degradation (significant degradation patches occupied 0.0758%), while ecological restoration projects promoted mountain NPP growth, highlighting the necessity of synergizing natural recovery and artificial interventions. (3) Multi-scenario planning revealed that the spatial congruence between the ecological security priority scenario and traditional ecological protection redlines reached 46.57%, whereas the social benefit scenario achieved only 12.13%, exposing the inadequate responsiveness of the current conservation framework to service demands in densely populated areas. This research validated the technical superiority of multi-objective systematic planning in reconciling ecological protection and development conflicts, providing scientific support for optimizing ecological security patterns in the Yangtze River Delta region. Full article

Urbanization has profoundly reshaped ecosystem services (ESs), yet how diverse urbanization drivers interact with land use and land cover (LULC) changes to influence ESs remains insufficiently studied. To address these gaps, this study offers a comprehensive assessment of urbanization induced ESs transformations across Anhui Province, China. We selected five key regulating and provisioning services closely linked to LULC dynamics, revealing that southern mountainous areas consistently supported higher ES levels, whereas central and northern urbanizing zones experienced severe ES degradation. By using random forest ensemble learning and Partial Least Square Path Modeling, we identified population density, urban construction proportion, and agricultural intensification as key urbanization drivers shaped LULC changes and indirectly influenced ES distributions. Notably, we also found that urbanization drivers and land use transitions did not act independently but interacted to jointly affect ES dynamics. These findings underscored the critical role of land use changes in mediating the impacts of urbanization on ESs and highlighted the importance of integrating land use management with urban planning to support sustainable regional development. Full article

Reducing fertilizer and pesticide use is a crucial path for the green transformation of agricultural production, which has garnered sustained attention in research on sustainable agricultural development. Based on the theoretical analysis, this article analyzes the spatiotemporal evolution characteristics of fertilizer and pesticide usage intensity (FUI and PUI) in the Yangtze River Delta (YRD) over the past 20 years and uses a Two-Way Fixed Effects Model to test their impacts and mechanisms. Findings show that agricultural development in the YRD shows a pattern of specialization and intensification with a significant north–south divide, with zero growth and reduction in fertilizer and pesticide use across the region from 2010 to 2015, but the current FUI and PUI are still nearly three and five times higher than the global average. Over the past 20 years, the FUI is high in the north and low in the south, high in the plains and low in mountainous-hilly areas, and high in suburban areas and low in remote counties. Adversely, the PUI is high in the south and low in the north, high in mountainous-hilly areas and low in plains, and high in suburban areas and low in remote counties. The FUI and PUI of characteristic agricultural areas of fruit, tea, and forestry in southern Anhui and southwestern Zhejiang, as well as the agroecological and facility agriculture clusters in southern Jiangsu and the suburbs of Shanghai, have approached the peak and successfully moved into the new green development stage earlier compared to other areas. In contrast, the grain and oil production plains areas along the Yangtze River, the coast, in northern Anhui, and in northern Jiangsu are relatively lagging behind. The combination of soil, water, light, and heat resource conditions and modes of agriculture production shape the absolute figures of FUI and PUI, and factors such as the level of local economic development and public fiscal expenditure significantly influence the trajectories of spatiotemporal differentiation in the progress of reducing fertilizer and pesticide in the YRD. Full article

Water resources are fundamental to sustaining life, fostering social development, and maintaining ecological balance. This study focuses on Anhui Province (AP) as the research area, employing 22 indicators from the Water-Socio-Ecological (WSE) framework for the water resource-water environment carrying capacity (WR-WECC) of AP. The WR-WECC of AP is assessed via differential evolution projection pursuit modeling (DE-PPM). Additionally, the degree of coupled coordination model (DCCM) is utilized to analyze the coordinated development among the municipalities of AP, whereas the obstacle degree model is employed to identify the primary obstacles affecting the enhancement of the WR-WECC and to forecast them via autoregressive composite moving averages. The findings of the study are as follows: (1) WR-WECC in AP showed a steady upward trend, and the water, socio-economic, and ecological subsystems showed a fluctuating upward trend, with ES increasing the fastest. The overall WR-WECC of each city shows a fluctuating upward trend, and the spatial gap narrows, with Southern Anhui (SA) > Central Anhui (CA) > Northern Anhui (NA). (2) The DCC of the WSE carrying capacity of AP also shows a fluctuating upward trend, gradually transitioning from barely coordinated to well coordinated. The DCC level of the WR-WECC in SA is better than that in CA and NA, and the growth rate is greater than that in CA and NA, whereas the DCC level in CA is better than that in NA, and the DCCs of the three major regions show an upward trend. (3) The degree of obstruction at the criterion level of AP’s WR-WECC basically maintains the following order: WS > SS > ES. In the indicator layer, the water supply modulus, water production modulus, and proportion of tertiary industry are the main obstacle factors restricting the enhancement of the WR-WECC of AP. (4) The prediction results for 2025–2040 indicated that the WR-WECC level and the three subsystem levels of AP showed a continuous increasing trend. Measuring WR-WECC plays a crucial role in regional sustainable development. Full article

Anoplophora horsfieldii Hope, a potential pest of the Cerambycidae family, is widely distributed throughout China, where it can cause damage to various living tree species. It has emerged as a critical invasive organism threatening China’s agricultural and forestry production as well as ecological security. This study comprehensively analyzed the key environmental factors influencing the geographical distribution of A. horsfieldii and its spatiotemporal dynamics by integrating multi-source environmental data and employing ecological niche modeling. Model validation demonstrated high reliability and accuracy of our predictions, with an area under the receiver operating characteristic curve (AUC) value of 0.933, Kappa coefficient of 0.704, and true skill statistic (TSS) reaching 0.960. Our analysis identified four dominant environmental factors governing the distribution of A. horsfieldii: mean diurnal range (Bio2), temperature annual range (Bio7), precipitation of driest quarter (Bio17), and precipitation of coldest quarter (Bio19). Under current climatic conditions, the total potential suitable distribution area for A. horsfieldii was estimated at 212.394 × 10⁴ km², primarily located in central, southern, eastern, southwestern, and northwestern China. Future projections under three climate scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5) suggest significant reductions in highly and moderately suitable habitats, while low-suitability areas may expand into central, eastern, and southwestern regions, with Chongqing, Henan, and Anhui potentially becoming new suitable habitats. Concurrently, the centroid coordinates of suitable habitats exhibited a directional shift toward Guangdong Province, with the overall distribution pattern demonstrating a spatial transition characterized by movement from inland to coastal areas and from higher to lower latitudes. This study provides scientific theoretical support for forestry authorities in controlling the spread of A. horsfieldii, while establishing a solid foundation for future ecological conservation and biosecurity strategies. The findings offer both theoretical insights and practical guidance for pest management and ecosystem protection. Full article

Given that many species are threatened by human activities, understanding wildlife responses to land use changes is crucial for effective biodiversity conservation. Quantifying species diversity from multiple dimensions provides a more comprehensive understanding of community dynamics, such as insights into functional and phylogenetic diversity, which are crucial for capturing the full complexity of bird communities. In this study, we surveyed bird communities in the Southern Anhui Mountainous Area across four seasons, including two human-dominated land use types (farmland and village) and one natural landscape (forest). Variations in the taxonomic, functional, and phylogenetic diversity across land uses and seasons were analyzed, with a focus on community assembly processes. Our results showed that, during spring and summer, human-dominated land use types supported a higher richness in all dimensions (taxonomic, functional, and phylogenetic) compared to natural landscapes (H_2,168 > 25, p < 0.001). However, due to the influence of migratory birds, villages exhibited the lowest taxonomic evenness (H_2,168 = 8.31, p = 0.016), while natural landscapes had a lower phylogenetic evenness (H_2,168 = 31.27, p < 0.001). In autumn and winter, no significant differences in richness or evenness were observed between land uses (H_2,42 < 5.72, p > 0.05). Functional traits were not fully phylogenetically conserved, as phylogenetic structures tended to cluster, while functional structures were more random. Larger birds were more likely to inhabit human-dominated land use types, while smaller birds favored natural landscapes (H_2,168 = 23.06, p < 0.001). These findings suggest that conservation plans should consider human-dominated land use types with an intermediate disturbance, which play crucial roles in maintaining bird diversity. However, natural landscapes harbor species that are absent from human-dominated environments and therefore also require continued protection. Full article

Variability identification and uncertainty characteristic analysis, under the impacts of climate change and human activities, is beneficial for accurately predicting the future evolution trend of hydrological variables. In this study, based on the evolution trend and characteristic analyses of historical precipitation and temperature sequences from monthly, annual, and interannual scales through the Linear Tendency Rate (LTR) index, as well as its variability point identification using the M–K trend test method, we further utilized three cloud characteristic parameters comprising the average Ex, entropy En, and hyper-entropy He of the Cloud Model (CM) method to quantitatively reveal the uncertainty features corresponding to the diverse cloud distribution of precipitation and temperature sample scatters. And then, through an application analysis of the proposed research framework in Anhui Province, China, the following can be summarized from the application results: (1) The annual precipitation of Anhui Province presented a remarkable decreasing trend from south to north and an annual increasing trend from 1960 to 2020, especially in the southern area, with the LTR index equaling 55.87 mm/10a, and the annual average temperature of the entire provincial area also presented an obvious increasing trend from 1960 to 2020, with LTR equaling about 0.226 °C/10a. (2) The uncertainty characteristic of the precipitation series was evidently intensified after the variability points in 2013 and 2014 in the southern and provincial areas, respectively, according to the derived values of entropy En and hyper-entropy He, which are basically to the contrary for the historical annual average temperature series in southern Anhui Province. (3) The obtained result was basically consistent with the practical statistics of historical hydrological and disaster data, indicating that the proposed research methodologies can be further applied in related variability diagnosis analyses of non-stationary hydrological variables. Full article

Rhopalopsole sinensis Yang and Yang, 1993 is one of the most widely distributed stoneflies in southern China. In this study, the genetic structure of nine different geographical populations of R. sinensis was studied based on three datasets of the 18S, COI and ITS2 genes. The phylogenetic trees showed that there had been a great degree of genetic differentiation among its nine geographical populations, but the hypothesis of random mating did not support the formation of reproductive isolation among different geographical populations, indicating that R. sinensis did not form cryptic species. The establishment of the 18S gene and ITS2 gene supports the population of (Guangdong + Shaanxi + Sichuan + Guizhou + Fujian) as independent branches, while the population of (Anhui + Zhejiang + Hunan) is another branch. The establishment of COI gene tree supports (Shaanxi + Sichuan + Guizhou + Fujian) as one branch, while the other independent branch is composed of (Anhui + Zhejiang + Guangxi + Hunan + Guangdong) groups. The possible reasons for this situation based on geography and biology are discussed. Our results provide the first reference for the genetic differentiation in Chinese Rhopalopsole stoneflies. Full article

The factors driving plant species diversity in different forest types and layers are still insufficiently understood. Therefore, we investigated the limiting factors of nutrient and water use efficiency in three forest layers (arbor, shrub and herb layers) and two forest types (plantation forest and natural forest), as well as their potential relationship with plant species diversity. The study area is located in mid-latitude evergreen broad-leaved forest ecosystems in southern Anhui province. The nitrogen content in the soil (2.90 g kg⁻¹) exceeded the national average for forest ecosystems (1.06 g kg⁻¹), whereas the phosphorus content (0.43 g kg⁻¹) was below the national average for such ecosystems (0.65 g kg⁻¹). The plant species diversity in the arbor layer was comparatively low, and nitrogen exerted a more substantial influence on it. In contrast, phosphorus had the most significant impact on the shrub and herb layers. In conclusion, nitrogen has little effect on plant growth patterns in this area, while there is a potential role for phosphorus in regulating plant succession rates. There are phenomenon of excessive nitrogen deposition and phosphorus loss in this forest ecosystem. Despite the fact that the plant species diversity indices (the Pielou Evenness Index, Gleason Richness Index, Shannon–Wiener Diversity Index and Simpson Dominance Index) in natural forests were higher than that in plantation forests, the disparity between them was not significant (p > 0.05). This may be due to similar water use efficiency and climate. The findings of this research hold substantial significance for forecasting the alterations in plant species diversity, functionality, and their influencing factors within mid-latitude evergreen broad-leaved forests. Full article

As a highly variable factor, climate plays a crucial role in winter wheat production. Quantifying its impact on crop yield and determining its relative importance is essential. This study uses the Random Forest (RF) algorithm to evaluate the effects of climate change on winter wheat yields in the North China Plain (1980–2020) and assess yield sensitivity to various climate indicators. The results show that the RF model performs well in simulating winter wheat yields across planting regions, with RRMSE values ranging from 12.88% to 22.06%, Spearman’s r from 0.84 to 0.91, and R² from 0.69 to 0.83. From 1980 to 2020, climate trends negatively affected winter wheat yields in Beijing, Tianjin, Hebei, Shanxi, and Jiangsu while promoting yield increases in Henan and Anhui. In general, a 10% increase in precipitation tends to enhance yields, except in northern Hebei, northern Shanxi, and Jiangsu. A 10% rise in solar radiation benefits most regions, although it leads to yield reductions in some areas of Anhui and Jiangsu. A 1 °C increase in temperature typically results in yield decreases, except in Beijing, southern Hebei, and parts of Shanxi and Henan. Among the three predictors, temperature is the most influential (33.81–44.19%), followed by solar radiation (29.01–37.47%) and precipitation (23.27–30.88%). These findings highlight the need for temperature-focused management strategies and region-specific approaches to optimize wheat yields and ensure sustainable production under climate change. Full article