砂壤质褐土水力特性与物理性质的空间尺度效应——消除趋势波动分析法

土壤水力特性与物理性质的空间异质性及其之间的关系在不同尺度上会有不同表现。采用消除趋势波动分析法对土壤水力特性(田间持水量、萎蔫系数和饱和导水率)和物理性质(机械组成、容重和有机碳含量)进行尺度分析。结果表明,只有在一定尺度范围内才能进行土壤水力特性空间变异分析和尺度转换(外推)。过小的尺度范围内不能摆脱空间相关的束缚,尺度太大时不能抓住主要控制因子,因此无法进行尺度外推。所研究砂壤质褐土田间持水量、饱和导水率、容重和有机碳含量可外推尺度范围较大,分别为55~155、50~125、50~125和50~135 m;砂粒、粉粒和黏粒含量的可外推尺度范围较小,为50~85 m,因此在进行空间尺度转换前应先确定其尺度外推范围。     

分形方法在土壤特性空间变异研究中的应用

土壤特性空间变异研究对土壤制图、精准施肥、农业可持续发展等方面具有重要意义。分形几何学是一种探索复杂性的事物的新科学方法和理论,在研究土壤特性空间变异中将有大有可为。本文主要综述了 2000 年以后分形理论在土壤物理特性、化学特性、水分特征及状态参数的空间变异研究中的应用进展,最后对分形理论在土壤特性空间变异研究中的发展方向进行了展望。     

区域土壤有机碳空间分布特征与尺度效应

结合当前土壤属性空间分布特征及其尺度效应研究进展和不足,综合采用变异函数理论、空间自相关理论、多重分形理论等方法从土壤有机碳(soil organic carbon,SOC)空间变异性、相关性和结构性等不同层面深入揭示不同尺度下SOC空间分布特征及其尺度效应。研究结果表明:除了15 km尺度外,基于变异函数分析的其他尺度块基比均小于50%,结构性因素占主导,结构性因素主要包括土壤亚类、土地质地、土地类型等,随机部分带来的空间变异性随着尺度的增加呈现减少趋势;不同尺度下的莫兰指数随着分离距离的增加由完全正值逐渐变小,过渡到正负交替出现的格局,最后完全变为负值,标准化统计量均大于1.96,每个尺度均具有良好的空间结构;不论是瑞利谱图,还是多重分形谱,随着尺度的增加,图谱越来越接近,研究区不同尺度下的SOC在空间上的分布是典型的分维数体;无论何种尺度,基于多重分形克里格法的实测值与预测值特异值空间吻合程度较高,特异值覆盖比率均在85%以上。联合了变异函数、空间自相关、多重分形和多重分形克里格等方法能够从空间变异性、空间相关性、空间结构性等更加深入全面地揭示研究区SOC空间分布特征。研究成果可为相对平坦农业区域土壤有机碳空间分布特征研究提供方法支撑。     

砂壤质褐土饱和导水率与物理性质的多尺度关系——小波分析法

正确估算土壤水力特性是准确了解土壤水分运动和溶质运移过程的前提。土壤水力特性具有明显的空间变异特征,由于其空间异质性是各种物理、化学和生物过程(如生物活动、耕作、地形、土壤侵蚀)在不同尺度下综合作用的产物,导致其变异     

土壤有机质空间变异性及其驱动因素研究进展

土壤有机质是表征土壤质量的主要指标,在土壤肥力、环境保护和全球碳循环中发挥着重要作用。土壤有机质的主要特征之一是具有高度的空间异质性,这是土壤形成过程中自然因子和人为活动综合作用的结果。本文对土壤有机质空间变异性的研究方法进行了回顾,从非生物和生物两方面阐述了驱动土壤有机质空间变异的主要因素,分析了研究土壤有机质空间变异性尺度效应的重要性及相关成果。在此基础上,结合以往研究的特点和不足,从深层土壤有机质的空间变异性、森林土壤有机质的空间变异性、土壤有机质空间变异性驱动因素间的交互作用以及较大尺度下土壤有机质空间变异尺度效应四个方面,对未来的研究方向提出了合理化建议。     

田块尺度土壤入渗特性空间变异研究

土壤入渗特性是田块尺度参数估值的重要基础。该文以陕西省杨凌区一级阶地砂壤土和三级阶地粘壤土所选典型田块的双环入渗试验为基础,分析了归一化因子在单一尺度和多尺度上的分形特征,并在此基础上建立了估算归一化因子的土壤转换函数。结果表明:对于修正Kostiakov公式所采用的归一化处理方法是可行的,可较好地预测典型田块各测点的土壤入渗过程;在单一尺度上,一级阶地和三级阶地所选典型田块的归一化因子最优半方差函数均为球状模型,其分形维数分别为1.796和1.840;在多尺度上,一级阶地典型田块归一化因子的空间变异受粉粒含量、砂粒含量和土壤容重的影响显著,三级阶地典型田块归一化因子的空间变异与黏粒含量、粉粒含量、砂粒含量和土壤初始含水率相关程度最高(显著性水平0.01);估算归一化因子的土壤转换函数具有较高的精度和可靠性,其一级阶地和三级阶地典型田块验证样本归一化因子的实测值与估算值相对误差绝对值均值分别为13.15%和9.95%。研究结果可较好地解决田块尺度内土壤入渗点面转换及入渗参数难以取得的问题。     

北京耕作土壤重金属多尺度空间结构

为了有效揭示土壤重金属的空间分布特征,为土壤环境质量评价提供科学依据,该研究以北京市耕作土壤中重金属为例,通过地统计学方法分析了重金属空间结构的尺度效应。研究结果表明：土壤重金属Cr、Ni、Zn和Hg的空间结构性对空间尺度有明显的依赖,理论半方差函数的最优性检验进一步表明多尺度套合模型能充分地挖掘和利用土壤重金属Cr、Ni、Zn和Hg的空间变异结构,并且采用多尺度套合模型法对重金属Cr、Ni、Zn和Hg进行克里格插值,其插值效果明显优于单一尺度下的普通克里格插值。因此,多尺度套合模型法能有效地揭示耕作土壤中重金属的空间分布特征。     

流域侵蚀输沙空间尺度效应及其影响因素研究进展

侵蚀输沙空间变异及其尺度效应是流域水文过程研究的一个重要内容,对流域水土流失控制和水沙资源科学管理具有重要意义。通过对流域侵蚀输沙空间尺度效应研究成果的系统回顾,从坡面到流域,阐述了降雨、土壤和植被等环境要素对侵蚀输沙尺度效应的影响,梳理了尺度效应产生机制方面的认知,总结了不同条件下坡面产流和侵蚀输沙尺度转换的代表性方法。在此基础上,对流域侵蚀输沙空间尺度效应研究的发展趋势进行了讨论,未来应增加新技术和数据的应用,建立具有明确物理机制的侵蚀输沙空间尺度转换方法,同时,急需突破剧烈环境变化对空间尺度效应影响的研究。本文的梳理与总结可为流域侵蚀输沙过程的深入研究提供参考,为土壤侵蚀防治和河流水沙的综合管理提供一定的科学支持。     

喀斯特洼地表层土壤水分的空间异质性及其尺度效应

空间变异及其尺度问题在土壤学、地理学、水文学和生态学中均处于十分重要的地位,是当前研究热点之一[1~5]。变异结果使得不同景观斑块间的交换过程在从田块到流域的不同空间尺度上产生[6]。因此要实现景观生态过程中的尺度转换,关键是从实测到预测模型的复杂转变[7,8]。在土壤学研究中,观测尺度和模型尺度均包含尺度的三因素,即采样间隔、采样幅度和支撑效应,这三个因素是界定观测或模型空间尺度的必要条件[3]。而随采样尺度变化,土壤水分的表观变异与真实变异出现偏差,这种偏差是观测尺度的函数,可以采用地统计学中的半变异函数进行有效地尺度转化[9]。国内外学者对土壤水分的空间尺度问题作了大量研究。Bl sch     

土壤空间变异研究进展

本文主要综述了土壤空间变异研究的进展,包括土壤水分特征及状态参数、物理性质、化学性质、重金属及其它元素的空间变异研究。讨论了尺度效应及套合结构模型在空间变异研究中的应用和研究进展,指出应根据不同研究目的采用不同的研究方法,并确定恰当的研究尺度,分析统计结果应结合区域生态系统进行分析。     

Characterizing Spatial Variability of Soil Textural Fractions and Fractal Parameters Derived from Particle Size Distributions

Soil particle size distribution (PSD) is a fundamental physical property affecting other soil properties. Characterizing spatial variability of soil texture is very important in environmental research. The objectives of this work were: 1) to partition PSD of 75 soil samples, collected from a flat field in the University of Guilan, Iran, into two scaling domains using a piecewise fractal model to evaluate the relationships between fractal dimensions of scaling domains and soil clay, silt, and sand fractions and 2) to assess the potential of fractal parameters as an index used in a geostatistical approach reflecting the spatial variability of soil texture. Features of PSD of soil samples were studied using fractal geometry, and geostatistical techniques were used to characterize the spatial variability of fractal and soil textural parameters. There were two scaling domains for the PSD of soil samples. The fractal dimensions of these two scaling domains (D₁ and D₂) were then used to characterize different ranges of soil particle sizes and their relationships to the soil textural parameters. There was a positive correlation between D₁ and clay content (R² = 0.924), a negative correlation between D₁ and silt content (R² = 0.801), and a negative correlation between D₂ and sand content (R² = 0.913). The geometric mean diameter of soil particles had a negative correlation with D₁ (R² = 0.569) and D₂ (R² = 0.682). Semivariograms of fractal dimensions and soil textural parameters were calculated and the maps of spatial variation of D₁ and D₂ and soil PSD parameters were provided using ordinary kriging. The results showed that there were also spatial correlations between D₁ and D₂ and particle size fractions. According to the semivariogram models and validation parameters, the fractal parameters had powerful spatial structure and could better describe the spatial variability of soil texture.     

Tillage effects on soil hydraulic properties in space and time: State of the science

Soil tillage practices can affect soil hydraulic properties and processes dynamically in space and time with consequent and coupled effects on chemical movement and plant growth. This literature review addresses the quantitative effects of soil tillage and associated management (e.g., crop residues) on the temporal and spatial variability of soil hydraulic properties. Our review includes incidental management effects, such as soil compaction, and natural sources of variability, such as topography. Despite limited research on space–time predictions, many studies have addressed management effects on soil hydraulic properties and processes relevant to improved understanding of the sources of variability and their interactions in space and time. Whether examined explicitly or implicitly, the literature includes studies of interactions between treatments, such as tillage and residue management. No-tillage (NT) treatments have been compared with various tillage practices under a range of conditions with mixed results. The trend, if any, is for NT to increase macropore connectivity while generating inconsistent responses in total porosity and soil bulk density compared with conventional tillage practices. This corresponds to a general increase in ponded or near-zero tension infiltration rates and saturated hydraulic conductivities. Similarly, controlled equipment traffic may have significant effects on soil compaction and related hydraulic properties on some soils, but on others, landscape and temporal variability overwhelm wheel-track effects. Spatial and temporal variability often overshadows specific management effects, and several authors have recognized this in their analyses and interpretations. Differences in temporal variability depend on spatial locations between rows, within fields at different landscape positions, and between sites with different climates and dominant soil types. Most tillage practices have pronounced effects on soil hydraulic properties immediately following tillage application, but these effects can diminish rapidly. Long-term effects on the order of a decade or more can appear less pronounced and are sometimes impossible to distinguish from natural and unaccounted management-induced variability. New standards for experimental classification are essential for isolating and subsequently generalizing space–time responses. Accordingly, enhanced methods of field measurement and data collection combined with explicit spatio-temporal modeling and parameter estimation should provide quantitative predictions of soil hydraulic behavior due to tillage and related agricultural management.     

分维与土壤特性时空变异性研究进展

论述了几种经典分维的定义及计算方法,阐明了传统分析土壤特性时空变异性不足之处,介绍了近几年来用分维度量土壤特性时空变异性的一些成果,并对分维在今后土壤特性时空变异性中的应用前景作了展望。     

黄土高原雨养区坡面土壤水力学性质空间特征及影响因素

土壤水力学性质在建立水分运动模型及水土保持措施配置中具有重要作用。以网格采样测定了黄土高原雨养区坡面土壤水分特征曲线,拟合了Van Genuchten和Gardner模型参数,并利用经典统计和地统计方法分析了其空间分布特征及影响因子。结果表明:在黄土高原雨养区复杂的土地利用结构下,坡面表层土壤水力学性质具有明显的空间变异性,Van Genuchten模型参数n不存在空间相关情况,为纯随机变量,参数a,A,B,A·B和饱和导水率的空间变异受到系统变异和随机变异的共同作用。Gardner模型参数A和B值受到有机质含量的影响,饱和含水量、田间持水量和容重与参数A,A·B及有效孔隙度之间的相关性均达到极显著水平。比重与坡面土壤水力学性质之间的相关关系不显著。土地利用和地形因子对水分特征曲线的影响明显,在高吸力阶段,上坡位比下坡位土壤保持的水分多,农田的持水能力不如草地和林地。     

Hydraulic energy indices reveal spatial dependence in a subtropical soil under maize crop in Southern Brazil

Soil physical quality (SPQ) assessment is an important part in the evaluation of soil use, management, and conservation. It can be assessed using several physical properties, hydraulic indices, and functions. Soils from tropical and temperate regions represent different physical behaviors, and the quantification of their physical properties is important to support soil evaluation and modelling. The objective of this study was to evaluate the SPQ in a subtropical field under maize crop cultivation according to its physical properties, hydraulic indices, and functions in an attempt to infer the spatial variability and to determine the behavior of soil physical structure across a spatial domain. Commonly used soil key physical variables, such as texture, bulk density, total porosity, saturated hydraulic conductivity, and organic carbon content, were measured in a regular grid with a soil sampling density of 30 points per hectare, covering an area of 0.5 ha. Saturated hydraulic conductivity varied strongly between subsamples and in the field, suggesting the heterogeneity of the soil structure regarding water drainage. The physical variables were combined with other indicators, which were based on the soil water retention curve and the pore size distribution (PSD) function. Correlation analysis was performed to verify the relationship between the measured and calculated variables, and some strong linear correlations were revealed, such as between aeration energy index and microporosity (r = 0.608) and water retention energy index with microporosity (r = 0.532) and with bulk density (r = 0.541). For most sampled locations, the shape and location parameters of PSD showed results outside of the optimum ranges, whereas the hydraulic energy indices and cumulative hydraulic energy functions presented values that were similar to those found for some tropical soils described in the literature. The spatial variability of these indices was described using semivariograms and kriged maps, indicating the variability of the SPQ in this field.     

应用土壤质地预测干旱区葡萄园土壤饱和导水率空间分布

田间表层土壤饱和导水率的空间变异性是影响灌溉水分入渗和土壤水分再分布的主要因素之一,研究土壤饱和导水率的空间变化规律,有助于定量估计土壤水分的空间分布和设计农田的精准灌溉管理制度。为了探究应用其他土壤性质如质地、容重、有机质预测土壤饱和导水率空间分布的可行性,试验在7.6 hm2的葡萄园内,采用均匀网格25 m×25 m与随机取样相结合的方式,测定了表层(0～10 cm)土壤饱和导水率、粘粒、粉粒、砂粒、容重和有机质含量,借助经典统计学和地统计学,分析了表层土壤饱和导水率的空间分布规律、与土壤属性的空间相关性,并对普通克里格法、回归法和回归克里格法预测土壤饱和导水率空间分布的结果进行了对比。结果表明:1)土壤饱和导水率具有较强的变异性,平均值为1.64 cm/d,变异系数为1.17;2)表层土壤饱和导水率60%的空间变化是由随机性或小于取样尺度的空间变异造成;3)土壤饱和导水率与粘粒、粉粒、砂粒和有机质含量具有一定空间相关性,而与土壤容重几乎没有空间相关性;4)在中值区以土壤属性辅助的回归克里格法对土壤饱和导水率的预测精度较好,在低值和高值区其与普通克里格法表现类似。研究结果将为更好地描述土壤饱和导水率空间变异结构及更准确地预测其空间分布提供参考。     

坡面尺度土壤特性的空间变异性

通过对20m长坡面土壤特性空间变异性的经典统计学分析,结果表明:(1)在同一土壤剖面内,各级粒径含量呈弱变异性,而有机质含量随土层深度的增大而逐渐降低,呈中等变异性;(2)土壤干容重的空间变异性较小,呈弱变异性,但土壤饱和导水率的空间变异性较大,呈中等变异性;(3)水分特征曲线具有一定的空间变异性,比水容量空间变异性较大,呈中等变异性。坡面土壤饱和导水率和干容重的等值线图表明,土壤饱和导水率的变化趋势并不仅仅取决于土壤干容重的相对大小,可能与有机质含量、黏粒含量以及根系分布情况等也有一定的关系。