Pedotransfer functions to assess adsorbed phosphate using iron oxide content and magnetic susceptibility in an Oxisol

Adsorbed phosphate in soils can be chemically extracted; however, this process is both time‐consuming and not cost‐effective if large numbers of samples have to be analysed. Indirect assessment of adsorbed phosphate by pedotransfer functions (PTFs) can help optimize fertilizer strategies. This study aimed to evaluate the spatial variability of adsorbed phosphate (P_ads), iron oxides and magnetic susceptibility (MS) in oxisols and to calibrate PTFs to predict P_ads. A total of 308 soil samples were collected from Hapludox and Eutrudox soils formed from sandstone in Brazil. The contents of clay (196–607 g/kg), iron oxides (40–165 g/kg), MS (1.2–29 × 10^?6 m³/kg) and P_ads (327–842 mg/kg) were in the range of typical values for these highly weathered soils. This study showed that the attributes studied were spatially dependent. Geomorphic surfaces enabled understanding of spatial variability and helped to develop a more efficient sampling scheme to calibrate PTFs. Moreover, the adsorbed phosphate in these oxisols could be predicted by a PTF using iron oxides and MS as predictors. The MS attribute enabled the most accurate prediction (concordance coefficient = 0.95, root‐mean‐square error = 46 mg/kg and relative improvement in root‐mean‐square error = ?4.12) of spatial variability through PTF compared to other predictors.     

盐渍化灌区节水改造后土壤盐分时空变化规律研究

为探明沈乌灌域节水改造后因地下水水位变化造成的土壤盐分重分布规律,采用区域土壤信息定点监测,并结合经典统计学、空间插值、缓冲区分析和空间自相关分析方法,研究节水改造前后沈乌灌域土壤盐分空间变异、时空分布规律及不同改造年限区域土壤盐分变化差异。结果表明:节水改造后,秋浇前土壤整体含盐量平均降幅7. 30%,秋浇水量减少,秋浇后土壤盐分淋洗效果减弱9. 26%;空间上,土壤盐分高值区(大于6 g/kg)多位于地下水埋深较浅的东北和南部区域,低值区(小于2 g/kg)位于西南和东部沙区。节水改造后,秋浇前土壤盐分全局Moran’s I指数平均增幅为5%,空间相关性增强;秋浇水量减少,全局Moran’s I指数变化不显著,秋浇作用对土壤盐分空间自相关影响度减弱。由LISA集聚分析可知,改造后、秋浇前南部高-高显著区向不显著和高-低区转变,秋浇后南部集聚特征仍十分显著,存在盐渍化风险,改造后仍是盐渍化防治重点区域。针对中度耐盐作物,沈乌灌域耕层作物生长安全区和深层非盐渍土面积比例分别为49. 66%和71. 57%;改造后,秋浇前耕层作物生长安全区和深层非盐渍土分别增加4. 82、1. 85个百分点,秋浇后,耕层作物生长安全区面积增幅下降5. 02个百分点,深层变化不显著。不同距离缓冲区对平均土壤含盐量的解释能力较强,长期改造区和短期改造区受渠道影响半径分别为1. 5 km和0. 7 km,长期改造区缓冲区内平均土壤含盐量下降速率高于短期改造区,均一化程度较高。综上所述,节水改造工程实施后,土壤盐渍化程度减轻,作物生长安全区面积增加,表聚作用弱化,秋浇水量减少,土壤盐分淋洗效果减弱,土壤环境有所改善。     

Spatial Distribution of Surface Soil Acidity,Electrical Conductivity,Soil Organic Carbon Content and Exchangeable Potassium,Calcium and Magnesium in Some Cropped Acid Soils of India

Land degradation is a global problem. Best management of degraded land can be done by evaluating the spatial variability of soil properties including chemical properties of degraded land and mapping such variations. Since, a significant portion of arable land in India is chemically degraded due to soil acidity; the present study was conducted to study the spatial variability of soil acidity (pH), electrical conductivity (EC), soil organic carbon (OC) content, exchangeable potassium (K⁺), calcium (Ca²⁺) and magnesium (Mg²⁺) contents in some cropped acid soils of India. A total of four hundred (one hundred from each series) representative surface (0–0.15 m depth) soil samples were collected from arable soils representing four soil series namely Hariharapur, Debatoli, Rajpora and Neeleswaram situated in Orissa, Jharkhand, Himachal Pradesh and Kerala states of India, respectively, and were analyzed. Soil acidity (pH between 3.90 and 6.45) showed a low variability, in contrast to other soil properties, which showed moderate variability. The coefficients of variation varied from 32.4 to 74.3, 31.2 to 50.9, 45.6 to 100, 71.9 to 93.0 and 59.0 to 79.8% for EC (mean between 0.05 and 0.09 dS m⁻¹), OC (mean between 0.29 to 1.86%), exchangeable K⁺ (mean between 39.1 and 77.7 mg kg⁻¹), Ca²⁺ (mean between 148 and 293 mg kg⁻¹) and Mg²⁺ (mean between 111 and 191 mg kg⁻¹), respectively. Soil pH and OC content were positively and significantly correlated with exchangeable K⁺, Ca²⁺ and Mg²⁺ content. Geostatistical analysis revealed that the best fit models were gaussian, exponential and spherical for different soil properties with moderate to strong spatial dependency. Copyright © 2014 John Wiley & Sons, Ltd.     

Driving forces of soil organic matter change in Jiangsu Province of China

Soil organic matter (SOM) is a key property determining soil functions and a major form of carbon stored in soil. Understanding the spatial and temporal variability of SOM and the driving forces responsible for spatial and temporal changes is important to assess regional soil quality and carbon sequestration potential and, particularly, to establish better practices for land use and management. We evaluated the spatio‐temporal change in SOM content from 1979–1982 to 2006 and its driving forces in Jiangsu Province, East China, using geostatistics. The results showed that mean SOM content increased from 16.60 ± 8.50 to 18.31 ± 8.32 g/kg over a 26‐yr period. The maps of SOM generated by ordinary kriging represented the increasing trend from north to south across the province in the two periods. The level of SOM in 1979–1982 affected the pattern of change: the SOM increasing in areas initially with a small content while decreasing in areas having a large content. The map of SOM change showed that the rate of increase decreased from north to south within the province. Increased fertilizer application promoted crop production with more residual biomass being retained in the soil, which resulted in increased SOM content. Land use changes to paddy, upland or forest improved SOM content, whereas abandoning land reduced SOM content.     

土壤空间变异研究现状及展望

阐述了应用地统计学方法，定量研究土壤空间变异的基本理论和基本方法以及国内外土壤空间变异的研究现状，探讨了该领域研究中存在的问题，展望了土壤空间变异研究前景。     

A GIS-based plant prediction model for wetland ecosystems

An existing non-spatial model for the prediction of response of wetland plant species on ecological factors has been transformed into a GIS-based prediction model which produces spatial output at the landscape scale. The input, spatial patterns of the ecological factors, were constructed with geostatistical spatial interpolation (kriging). With this GIS-based model the spatial patterns of presence and absence of 78 wetland plant species are predicted for an area with wetlands in the Netherlands of approximately 500 square kilometers. The GIS-based model has been validated, and the estimated uncertainty of the input has been propagated through the model. At the species level the output shows spatially coherent and non-random patterns. The validation is affected by the propagation of input errors through the model. The number of valid predictions declines approximately 10–20% when 95% confidence intervals are used in the validation. This study shows that it is feasible to use a geostatistical interpolation method to construct spatial patterns of ecological factors on a landscape scale and to use these patterns as input for a GIS-based prediction model. The added uncertainty on the input values however, affects the number of valid predictions of the model.     

合肥市白毫早、乌牛早茶园天敌与蓟马的空间跟随关系

为利用天敌有效防治茶园蓟马,2015—2016年选择安徽农业大学农业科技试验基地的白毫早和乌牛早2种茶园进行试验,对2种茶园的蓟马数量及其天敌数量进行调查,采用地学统计学方法与灰色关联度法相结合方法综合分析与蓟马空间跟随关系密切的天敌种类。结果表明,2015年和2016年2年,白毫早茶园蓟马共2 408头,其捕食性天敌共12 156头,与蓟马空间跟随关系密切的前4位天敌依次是锥腹肖蛸Tetragnatha maxillosa、茶色新圆蛛Neoscona theisi、粽管巢蛛Clubiona japonicola和草间小黑蛛Erigonidium graminicolum,2年密切指数之和分别为1.952、1.843、1.800和1.751;2015年和2016年2年,乌牛早茶园蓟马共6 540头,其捕食性天敌共12 376头,与蓟马空间关系密切的前4位天敌依次是八斑球腹蛛Theridion octomaculatum、异色瓢虫Harmonia axyridis、茶色新圆蛛和锥腹肖蛸,2年密切指数之和分别为1.863、1.829、1.762和1.759。综合分析2年白毫早和乌牛早2种茶园,与蓟马空间关系密切的前4位天敌依次是锥腹肖蛸、茶色新圆蛛、异色瓢虫和草间小黑蛛,密切指数之和为3.710、3.605、3.512和3.473。     

平陆烟区烤烟砷含量的空间分布特征

为探讨山西省平陆县主要植烟区烟叶砷的分布情况,以2012年该地烟区的68份烤烟中部叶（C3F）样品为材料,检测了该地区烤烟的砷含量,借助地统计学和 GIS 结合的技术,研究了平陆烤烟砷含量的空间分布。结果表明,平陆县烤烟砷含量平均值为0·353 mg/kg,其变化趋势为由西向东先升高后缓慢降低,由南向北先迅速升高后缓慢降低;平陆县烤烟砷含量与 Exponential 模型无阶趋势效应拟合度最好,其砷含量各向异性比大于1,具有各向异性;平陆县烤烟砷含量块斑大小、形状有明显的空间差异,空间相关性强,具有明显的趋势效应。烤烟砷含量较高的地区主要分布在曹川镇北部、坡底乡中部、圣人涧镇中部、三门镇西部、张店镇西南部、杜马乡东北部地区。     

澄城县小麦地土壤全氮含量空间分布的ArcGIS模拟

采用试验分析与地统计学方法对陕西省澄城县91个样区小麦土壤全氮含量进行了空间结构分析.结果表明:样点原始全氮值不符合正态分布,经Cox-box变换后符合正态分布;普通克里格插值法半变异函数符合圆型模型,函数块金值为3.79×10-3,偏基台值为4.15×10-3,变程为4 856m;澄城县调查样区96.7%的小麦地土壤全氮含量处于不同的缺乏状态.     

东莞林地土壤肥力空间异质性分析

应用地统计学结合地理信息系统研究了广东省东莞市森林表层土壤（0～25 cm）有机质、全氮、全钾、全磷和pH值等5种土壤肥力指标的空间变异规律。研究表明：全磷、全钾、有机质、全氮为中等变异;pH值属于弱变异;全钾、pH值的变异函数曲线的理论模型符合球状模型,有机质、全氮、全磷适用模型为指数模型;全磷、全钾、有机质、pH值具有中等空间相关性,全氮的空间相关性较弱;5种肥力指标的空间自相关范围存在明显差异,变化范围为2218～19297 m。用普通克立格法进行最优内插,得各肥力指标含量分布图,并分析了各土壤肥力指标的分布状态。