厄贝沙坦对原发性高血压患者左心室肥厚及心率变异性的影响

目的 探讨厄贝沙坦对原发性高血压患者左心室肥厚(LVH)及心率变异性(HRV)的影响.方法 65例原发性高血压患者,每日清晨7 时口服厄贝沙坦,治疗前及治疗6个月后分别测定患者LVH及HRV.结果 治疗后的左室后壁舒张末期厚度(LVPWT)、左室舒张末期内径(LVDd)、室间隔舒张末期厚度( IVST)、左室重量指数(LVMI)均比治疗前明显减少(P<0.01);与治疗前相比,相邻正常RR 间期标准差 (SDNN)、相邻正常RR 间期差值的方差(RMSSD)、相邻正常RR 间期差值大于50 ms 的窦性心律占心搏总数的百分比(PNN50)、高频功率(HF)明显增加(P<0.01),而低频功率(LF)及LF/HF则明显降低(P<0.05或0.01).结论 厄贝沙坦对原发性高血压患者的LVH有显著的改善作用,对HRV有显著的扭转作用.     

干湿季节下基于遥感和电磁感应技术的塔里木盆地北缘绿洲土壤盐分的空间变异性

土壤盐渍化问题是制约干旱半干旱区植被生长最主要的生态环境地质问题,也是影响绿洲农业生产的障碍性问题。而将遥感与近感技术相结合,是当前评价、监测及预报土壤盐渍化程度的先进方法。以新疆塔里木盆地北缘的渭干河-库车河三角洲绿洲为例,以遥感数据和解译后的电磁感应数据为基础数据源,利用解译后的数据结合GIS和地统计学知识以及野外实测所得到的土壤电导率和盐分资料,分别采用泛克里格(Universal Kriging)、光谱指数回归(Spectral Index Regression)和回归残差泛克里格(Regression-Universal Kriging)3种方法研究了该地区两个关键季节(干季和湿季)土壤盐分的空间变异特征。研究结果表明:研究区的土壤浸提液电导率EC_1:5和土壤盐分呈现显著相关,可以用EC_1:5来代替土壤的全盐量进行分析;电磁感应仪(EM38)所测各季节土壤表观电导率与EC_1:5的相关系数均达到1%显著水平,以表观电导率垂直读数(EM_V) 和水平读数(EM_H)为自变量的多元回归模型拟合效果较好;研究区各季节的表层土壤电导率的空间分布均表现为强相关性,说明土壤采样点间的内部结构性良好,采用能够充分考虑到干旱区表层土壤电导率空间变异的尺度依赖性的球状套合模型,能够更好的拟合土壤表观电导率的空间结构;经过精度比较,回归残差泛克里格法为最优预测方法,这表明将遥感和电磁感应技术相结合,能够有效的提高预测与评估土壤盐分空间分布的精度,为精确地进行土壤盐分预测以及土壤次生盐渍化的防控提供了一定的依据。     

Analysis of Variability of Some Properties of a Semideciduous Forest Soil

Abstract

The formation of soils in any region is influenced by many factors such as the parent materials and the secondary materials derived from them, the vegetation and the history of land use. These factors vary from place to place, and they contribute to the spatial variation in properties of the soil. Quantification of the magnitude, location, and causes of spatial variability is an essential, but insufficient ingredient of soil surveys. Soil samples from the 0‐ to 20‐cm depth were taken covering soils in the Asuansi‐Akroso‐Nta‐Ofin compound association (Lixisol, Cambisol, and Fluvisol association) at the study site by following the nested balanced hierarchical sampling technique. This covered distances between 100 and 0.80 m. Standard laboratory analyses were performed to quantify the selected properties, namely, pH, organic carbon, total nitrogen, total phosphorus, exchangeable potassium, and content of sand, silt, and clay. Classical statistics and geostatistical procedures were performed on the data and models fitted to the variability patterns. Physical and the more stable properties, such as sand, silt, and clay, were fitted with spherical variogram models. These models indicate a high level of spatial dependence, therefore, such properties may be said to be fairly stable in the field. On the contrary, chemical properties, such as exchangeable potassium, were fitted with exponential variogram models, indicating that these properties were less stable and showed dependence over longer distances. The scale of variation of the properties ranged between 35 and 62 m. The degree of uncertainty associated with time and space can be reduced by improved documentation of field variability using the tools of geostatistics.     

Temporal and Spatial Stability of Soil Test Parameters Used in Precision Agriculture

Abstract

Variable‐rate technology provides crop producers with the opportunity to vary the crop and soil management practices. The objective of this study was to assess the temporal and spatial stability of nitrogen (N), phosphorus (P), potassium (K), zinc (Zn), pH, and soil organic matter (OM) for precision nutrient management. This study was conducted over three growing seasons on a continuous maize (Zea Mays L.) production field in northeastern Colorado, USA. Soil samples were collected using a soil sample grid size of 76.2 m×76.2 m. The field was classified into areas of low, medium, and high productivity potential management zones. Spatial statistical analysis was performed. Measured soil parameters varied significantly over space and time (p<0.01). Management zones were effective in identifying homogenous subregions within the field across time (p<0.01). The data suggest that management zones account for spatial and temporal variability for the various soil parameters evaluated in this study.     

Spatial and Temporal Variability of Soil Organic Carbon in the Corn Belt of Northeastern China, 1980s–2005: A Case Study in Four Counties

Estimates of changes and possible causes of regional soil organic carbon (SOC) are critical for evaluation of potential responses of terrestrial biosphere to global changes. A total of 382 soil samples, collected in the 1980s from four counties in the Corn Belt of northeastern China, and of 1,514 samples collected in 2005 from the same area, were examined for SOC concentrations. Spatial and temporal SOC concentrations were evaluated after the 25-year interval using geostatistics and kriging interpolation method. Results indicated that the average topsoil SOC concentrations of the study area increased from 1.24% in the 1980s to 1.47% in 2005. Spatial distributions of SOC in the two separate evaluations showed greater SOC concentrations in the middle part of the study area and lower SOC concentrations in the remaining areas. From the 1980s to 2005, SOC concentrations in the central part increased, whereas those in the northeastern and southwestern parts decreased. The increasing trend of SOC concentrations might be attributed to the land-use and land cover changes, crop productivity increase, and agricultural management.     

Assessment of Horizantal and Vertical Variabilities of Soil Quality using Multivariate Statistics and Geostatistical Methods

The aim of this study is to examine the horizantal and vertical spatial changes of soil quality (SQ) in rice-cultivated soils located on the Bafra Deltaic Plain—one of the most important alluvial deltaic plains and production centers of Turkey. The study examines these spacial changes by calculating the soil quality index (SQI) for soils 0–30 cm and 30–60 cm deep. For SQI calculations, seventeen potential physicochemical SQ indicators of eighty-three soil samples were assessed. Quality indicators to be used in these calculations were selected by considering the clay content, correlation relationship, and principal components analysis (PCA) of potential quality indicators. Clay, silt, sand, electrical conductivity (EC), exchangeable calcium (Ca_exc), and exchangeable magnesium (Mg_exc) were selected as quality indicators, and silt was found to be the most important quality indicator for both soil depths. The SQ of researched soils changed from low to high for both soil depths.     

Stretching Soil Sampling to Watershed: Evaluation of Soil‐Test Parameters in a Semi‐arid Tropical Watershed

Soil sampling is an integral component of fertility evaluation and nutrient recommendation for efficient use of nutrients in crop production. Little attention has been devoted to evaluating methodology for sampling watersheds under dryland agriculture. A stratified random sampling methodology for sampling the Appayapally watershed in Mahabubnagar district of Andhra Pradesh state in the semi‐arid tropical region of India was adopted and evaluated. The watershed has an area of about 500 ha, with gentle sloping lands (<1% slope), and 217 farmers own land in the watershed. The soils are Alfisols. A total of 114 soil samples were collected from the top 15‐cm layer to represent the entire watershed. Each sample was a composite of 7–8 cores, randomly collected from the area represented by a crop and group of farmers. The soil samples were air dried, ground, and analyzed for pH, electrical conductivity (EC), organic carbon (C), total nitrogen (N), and extractable phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), sodium (Na), sulfur (S), zinc (Zn), manganese (Mn), iron (Fe), copper (Cu), and boron (B). Statistical analysis of the results on soil fertility parameters showed that the mean‐ or median‐based results of soil tests performed in the study did not differ significantly when the sample set size varied from 5 to 114 (100% of the population). Our results indicate that farmers' fields in the Appayapally watershed are uniform in the chemical fertility parameters studied, and even a small sample set size can represent the whole population. However, such a sampling strategy may be applicable only to watersheds that are very gently sloping and where fertilizer use is very low, resulting in an overall low fertility in the whole watershed.     

Sample volume effect on determination of soil salinity

Abstract

Five pedons from a 200 hectare area were sampled to study the effect of the soil sample volume on determination of salinity. Four sample sizes, 5, 50, 500 and 5000 g, were used, with five to ten replicates each, for the top 25 cm of the profiles. These samples were prepared and analyzed for soil salinity, soluble cations and anions in 1: 2 (soil: water) extracts. Data revealed that the variations due to the different sample sizes were highly significant. Highest values of EC, cations and anions were obtained when using 5‐g samples. The confidence intervals tended to be lowest for the 5000‐g samples in most of the EC, cation and anion determinations. The 500‐g sample size was awkward and apparently the 5‐g sample size was too small.     

典型喀斯特峰丛洼地土壤有机碳含量空间预测研究

我国西南喀斯特地区可能是全球水循环加强背景下一个重要的碳汇[1]。植被和土壤有机碳(SOC)的增加对于该地区整体碳汇的增加,以及这部分由水驱动的碳汇的增加具有极为重要的意义。然而峰丛洼地地区从景观到群落不同尺度水平上表现出的高度异质性,为该地区碳储量的估算和碳源/汇的评估带来很大困难,亟需探索有效方法对     

高密市农田土壤养分空间变异特征研究

以高密市为例,利用GIS和地统计学方法在县域的尺度上分析土壤有机质、全氮、碱解氮、有效磷、速效钾、有效锰、有效铜、有效锌、有效硼9种养分的空间变异情况,利用克里格插值分析土壤养分的空间分布格局。结果表明,有效磷变异系数最大为48.80%,有机质变异系数最小为21.76%,变异系数由大到小依次为有效磷>有效锌>速效钾>有效铜>有效硼>有效锰>碱解氮>全氮>有机质。各土壤养分都具有良好的半方差结构,除了有效锰符合线性模型以外,其他养分均符合指数模型。速效钾、有效铜、有效锌具有强烈的空间自相关性;有机质、全氮、碱解氮、有效磷、有效锰、有效硼具有中等强度的空间自相关性,自相关程度速效钾>有效铜>有效锌>有效硼>全氮>碱解氮>有机质>有效磷>有效锰。在空间自相关范围上,有效硼最大为28716 m,有效铜最小为1410 m。微量元素锰、硼在空间分布上呈现出明显的规律性,锰呈现出从北到南逐渐增加的趋势,而硼含量则是从北到南逐渐减小;有机质、全氮、碱解氮三种元素呈现出相似的空间分布格局;有效铜、有效锌没有明显的规律性;有效磷、速效钾高值区呈块状零星分布。该研究揭示了高密市土壤养分的空间分布规律,对于实施精准农业和耕地的可持续利用具有积极意义。