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1.
Macrophyte community diversity and composition respond to ecosystem conservation and local environmental factors. In this study, we developed a multidimensional diversity framework for macrophyte communities, including the taxonomic and functional alpha and beta diversity. We used the framework to explore the relationships among water level regimes and these diversity parameters in a case study of China's Baiyangdian Lake. Analysis of indicators of hydrologic alteration divided the water level from 1959 to 2019 into four regimes (dry, <6.42 m; low, 6.42–7.23 m; medium, 7.23–8.19 m; high, >8.19 m). Alpha and beta diversity were significantly higher in the medium regime than in the low and high regimes. Redundancy analysis indicated that the maximum water depth significantly affected taxonomic alpha diversity, and total nitrogen (TN) and chemical oxygen demand (COD) concentration significantly affected functional alpha diversity, respectively. Mantel tests showed that TN, Secchi depth (SD), and water depth in the high water level regime significantly increased the total beta diversity and turnover components. TN was the main factor that increased total taxonomic beta diversity. Water level regime mainly influenced interspecific relationships by changing the TN and COD concentration. The water level should be maintained between the medium and high water level regimes to promote restoration of the macrophyte community and improve ecosystem stability. The biodiversity evaluation framework would provide a deeper insight into the hydrological process management for restoration of aquatic macrophyte communities in shallow lakes.  相似文献   
2.
Numerous efforts have been made to understand stemflow dynamics under different types of vegetation at the inter-event scale, but few studies have explored the stemflow characteristics and corresponding influencing factors at the intra-event scale. An in-depth investigation of the inter- and intra-event dynamics of stemflow is important for understanding the ecohydrological processes in forest ecosystems. In this study, stemflow volume (FV), stemflow funnelling ratio (FR), and stemflow ratio (F%) from Quercus acutissima and Broussonetia papyrifera trees were measured at both inter- and intra-event scales in a subtropical deciduous forest, and the driving factors, including tree species and meteorological factors were further explored. Specifically, the FV, FR and F% of Q. acutissima (52.3 L, 47.2, 9.6%) were lower than those of B. papyrifera (85.1 L, 91.2, 12.4%). The effect of tree species on FV and F% was more obvious under low intensity rainfall types. At the inter-event scale, FV had a strong positive linear correlation with rainfall amount (GP) and event duration (DE) for both tree species, whereas FR and F% had a positive logarithmic correlation with GP and DE only under high-intensity, short-duration rainfall type. FR and F% were mainly affected by wind speed and the maximum 30-min rainfall intensity under low-intensity, long-duration rainfall type. At the intra-event scale, for both tree species, the mean lag time between the start of rainfall and stemflow was the shortest under high-intensity, short-duration rainfall type, while the mean duration and amount of stemflow after rain cessation were the greatest under high-amount, long-duration rainfall type. The relationship between stemflow intensity and rainfall intensity at the 5-min interval scale also depended greatly on rainfall type. These findings can help clarify stemflow dynamics and driving factors at both inter- and intra-event scales, and also provide abundant data and parameters for ecohydrological simulations in subtropical forests.  相似文献   
3.
The Pengshan Sn-polymetallic ore field is located in the southeastern part of the Yangtze block, spanning the southeast edge of the MLYDZ and the northern edge of the mid-segment of the Jiangnan Uplift, and on one side of the MLYDZ. The studies of LA–ICP–MS zircon U–Pb chronology and petrogeochemistry for Early Cretaceous acid granites from the Pengshan ore field were carried out in this paper. We report zircon U–Pb geochronology and whole-rock geochemistry for acid granites in the Pengshan ore field. The zircon U–Pb ages of the muscovite-granite, biotite adamellite and granite-porphyry are 127.6 ± 1.7 Ma, 126.9 ± 1.6 Ma and 126.6 ± 2.0 Ma, respectively. The granites in Pengshan are characterized by a high silicon content and are rich in alkali. They belong to high-potassium, calc-alkaline, peraluminous granite. The rocks have a relatively high Rb/Ba ratio, and the data points for muscovite-granite and biotite adamellite all fall within the clay-rich sources region, near the pelite-derived end-member, showing that the Pengshan muscovite-granite and biotite adamellite mainly originated from the partial melting of metapelites with high maturity. The transformation of the compressional and extensional tectonics in this region approximately 128 Ma obviously lags behind that in the mid-segment of the Jiangnan Uplift (135 Ma), but occurred earlier than the MLYDZ (126 Ma). The Pengshan ore field extends from the mid-segment of the Jiangnan Uplift to the MLYDZ. Although the tectonic stress field is constrained by the combination of the two secondary tectonic units, the time of tectonic system transformation is closer to the MLYDZ because the spatial orientation of the area is enclosed in the MLYDZ. Relevant geophysical and drilling data confirm the rationality of Pengshan–Ao’xia as a multi-center vertical zoning ore field, and show the scientificity of the prospecting idea of abutting joint between the north-west of Pengshan area and the south-east of Ao’xia area.  相似文献   
4.
狮吼山矿区是江西省内规模最大的矽卡岩型硫铁多金属矿床,伴生W、Cu、Au多种成矿元素,成矿作用与矿区出露的茶山迳复式花岗岩体有关。岩体主要包括茶山迳似斑状黑云母二长花岗岩和莲湖细粒二长花岗岩两期,为研究成矿岩体的侵位时代、岩石成因及与成矿的关系,本次工作进行了U-Pb锆石定年、岩相学和岩石地球化学等测试分析。结果表明:岩体具有高硅、高钾、富铝的特征,属高钾钙碱性系列花岗岩;轻重稀土元素分馏明显,均为右倾型,弱Eu负异常,以富集Cs、Rb、Th、U、Pb,亏损Ba、Nb、Sr、和Ti等元素为主要特征,属于低Ba-Sr壳源花岗岩类;锆石具较好晶形,具典型岩浆锆石特征,利用LA-ICP-MS进行U-Pb测年,获得谐和年龄为(162.4±0.6)Ma(MSWD=1.8),加权平均年龄为(162.4±1.4)Ma(MSWD=1.4),谐和年龄与加权平均年龄在误差范围内高度一致,表明茶山迳复式岩体侵位于燕山早期中侏罗世;综合考虑岩体矿物组合、主微量元素及高分异特征,认为其成因分类应属于S型花岗岩;对比中国花岗岩成矿元素平均含量,茶山迳两期花岗岩均具有较高的W、Mo、Bi、Pb等成矿元素含量,可同时为成矿作用提供热源、流体及物质。  相似文献   
5.
《地学前缘(英文版)》2020,11(6):2207-2219
This investigation assessed the efficacy of 10 widely used machine learning algorithms (MLA) comprising the least absolute shrinkage and selection operator (LASSO), generalized linear model (GLM), stepwise generalized linear model (SGLM), elastic net (ENET), partial least square (PLS), ridge regression, support vector machine (SVM), classification and regression trees (CART), bagged CART, and random forest (RF) for gully erosion susceptibility mapping (GESM) in Iran. The location of 462 previously existing gully erosion sites were mapped through widespread field investigations, of which 70% (323) and 30% (139) of observations were arbitrarily divided for algorithm calibration and validation. Twelve controlling factors for gully erosion, namely, soil texture, annual mean rainfall, digital elevation model (DEM), drainage density, slope, lithology, topographic wetness index (TWI), distance from rivers, aspect, distance from roads, plan curvature, and profile curvature were ranked in terms of their importance using each MLA. The MLA were compared using a training dataset for gully erosion and statistical measures such as RMSE (root mean square error), MAE (mean absolute error), and R-squared. Based on the comparisons among MLA, the RF algorithm exhibited the minimum RMSE and MAE and the maximum value of R-squared, and was therefore selected as the best model. The variable importance evaluation using the RF model revealed that distance from rivers had the highest significance in influencing the occurrence of gully erosion whereas plan curvature had the least importance. According to the GESM generated using RF, most of the study area is predicted to have a low (53.72%) or moderate (29.65%) susceptibility to gully erosion, whereas only a small area is identified to have a high (12.56%) or very high (4.07%) susceptibility. The outcome generated by RF model is validated using the ROC (Receiver Operating Characteristics) curve approach, which returned an area under the curve (AUC) of 0.985, proving the excellent forecasting ability of the model. The GESM prepared using the RF algorithm can aid decision-makers in targeting remedial actions for minimizing the damage caused by gully erosion.  相似文献   
6.
Farmland abandonment is a global problem and considered one of the most important areas in land use change research. Farmland abandonment research currently focuses on understanding the factors that affect farmland abandonment and developing scientific models to simulate farmland abandonment. The study reviewed the natural and political factors driving farmland abandonment and summarized the main models for farmland abandonment simulation together with their advantages and disadvantages. We discuss the main ecological effects of farmland abandonment and propose farmland abandonment research directions. The study found that: (1) the influence of labor cost change and ageing labor force on farmland abandonment needs further investigation, (2) simulation models for farmland abandonment must include the decision-making mechanism of individual farmers and focus on macro large-scale abandonment prediction models, and (3) the influence of farmland abandonment on landscape culture must be investigated in detail.  相似文献   
7.
东塘子铅锌矿床是秦岭成矿带中典型的铅锌矿床之一,前人对东塘子铅锌矿床成矿作用研究较多,但受限于测试手段及认识的局限性,多年来对其物质来源的认识仍未统一。本文在充分研究东塘子铅锌矿床地质特征的基础上,开展了相关样品的S、Pb同位素分析,分析对象包括了不同类型的铅锌矿石,讨论了该铅锌矿床的成矿物质来源、区内岩浆岩与铅锌成矿的关系等。研究表明:东塘子铅锌矿床矿石硫化物δ34S值变化范围为1.8‰~12.5‰,平均7.50‰,计算获得成矿流体中总硫δ34S∑S为7.7‰,显示海水硫酸盐(蒸发膏岩)与岩浆硫的混合来源特征。矿石铅同位素组成稳定,铅源主要来自富U-Th-Pb的上地壳与深部,可能与深部岩浆活动有关。研究结果表明,东塘子铅锌矿床的成矿过程与南秦岭印支期大规模多阶段构造-岩浆-流体活动密切相关,为下一阶段区内找矿工作提供了新的思路。  相似文献   
8.
Dust, as a source of trace metal elements, affects the health of society. The spatial and temporal concentrations of dust‐bound trace metals (Cd, Pb, Ni, Zn, Cu, and Mn) in Kuhdasht watershed (456 km2), Lorestan Province, Iran, is investigated. Dust is collected using glass traps placed in ten research stations in the region. The spatial and temporal distribution of dust trace metals are plotted using ARC‐GIS. The highest and the lowest concentrations of Zn (9751150 mg kg?1), Pb (46.352.9 mg kg?1), and Cd (2.443.30 mg kg?1) are obtained in winter, of Ni (98110 mg kg?1) and Cu in autumn (16.053.5 mg kg?1), and of Mn in summer (385505 mg kg?1). The spatial concentrations of dust‐bound trace metals indicate all, except Cu, show a decreasing trend from the mountains toward the plains, similar to that of soil and of dust, except for Zn, which shows higher concentrations in dust than in soil. The potential sources of dust‐bound trace metals and their rate of contamination are also investigated using the enrichment and contamination factors. The major sources of Cd and Zn in the dust of watershed are due to anthropogenic activities or from activities outside the borders.  相似文献   
9.
地形地貌是岩性解译的重要信息,地形因子作为描述DEM数字曲面几何特征的定量指标参数,可用来定量化表达不同岩性所在地区地形地貌特征。本文以桂林-阳朔地区为研究区,研究地形因子数学、地质意义,建立岩性与地形因子组合间的定量关联,进而实现岩石类型划分。本文基于ASTERGDEM提取坡度、起伏度等12个地形因子,在分析各个地形因子地质意义基础上,通过聚类分析及方差分析的多元统计分析方法,研究各岩性地形因子特性及其关联性,建立研究区岩性之间的定量差异;此外,利用因子分析方法研究岩性分类过程中的主导因素,确定适宜岩性分类方法以实现定量化岩性分类。实验结果表明:不同岩性、不同地形地貌的地形因子(组合)之间具有显著差异,基于因子分析得到的宏观地形复杂度指数(MTI)以及微观曲率指数(MCI)对岩石类型的分类精度达77.36%。研究表明,地形复杂度等地形因子可用于岩性分类,采用因子分析方法可获取反映地形地貌宏观、微观特征的定量指标,且岩性分类效果良好。  相似文献   
10.
蓄集矿床是宗务隆构造带内发现的重要银铅矿床。蓄集银铅矿床赋存于石炭-二叠系宗务隆群果可山组灰岩夹千枚岩地层中,矿体呈脉状、透镜状、似层状,明显受近东西走向的断裂构造控制,矿体围岩蚀变主要为硅化和绢云母化,矿石矿物主要为方铅矿和银黝铜矿,脉石矿物主要为石英,矿石具有斑杂状和网脉状构造。对该矿床开展了S-Pb同位素组成分析。硫同位素分析结果表明矿石中硫化物矿物δ~(34)S值变化于5.0‰~8.4‰之间,显示硫主要为岩浆来源,有少量地层的贡献;铅同位素分析结果表明,矿石~(206)Pb/~(204) Pb=17.896~17.922,~(207)Pb/~(204) Pb=15.589~15.617,~(208) Pb/~(204) Pb=38.072~38.166,与围岩铅同位素组成(~(206) Pb/~(204) Pb=17.94~18.976,~(207)Pb/~(204) Pb=15.600~15.696,~(208) Pb/~(204) Pb=38.106~40.943)较为相似,而与蓄集峡口闪长岩铅同位素组成(~(206) Pb/~(204) Pb=18.144~18.589,~(207)Pb/~(204) Pb=15.623~15.636,~(208)Pb/~(204) Pb=38.790~39.033)相差较大,反映成矿物质主要来自围岩地层宗务隆群果可山组。综合分析认为,蓄集银铅矿床与宗务隆构造带晚二叠世岩浆活动关系密切,应属岩浆热液为主的热液充填-交代成因类型。  相似文献   
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