近红外光谱结合偏最小二乘法快速评估土壤质量

以长江中下游粮食主产区水稻土为研究对象,采集17种不同施肥处理下共136个土壤样品在350 ～2 500 nm范围的近红外光谱,利用偏最小二乘回归分析结合交叉验证法建立了近红外漫反射光谱与传统化学分析方法测得的全碳、全氮、碳氮比、速效钾、速效磷、电导率、土壤pH等土壤指标之间的定量分析模型。模型的决定系数（R2）以及化学分析值标准差（SD）与模型的内部交叉验证均方差（RMSECV）的比值RSC用于判定建立的模型的好坏。结果表明：全碳、全氮、碳氮比和pH模型的R2和RSC分别为：R2=0.94,RSC=4.31;R2=0.95,RSC=4.35;R2=0.97,RSC=5.60;R2=0.92,RSC=3.37,说明上述土壤指标的预测结果很好。速效钾模型的R2和RSC分别为：R2=0.87,RSC=2.23,表明预测结果尚好。而速效磷和电导率模型的R2和RSC分别为：R2=0.18,RSC=1.16;R2=0.37,RSC=1.31,说明两者的预测结果均很不理想。综上所述,水稻土的土壤质量相关指标（全碳、全氮、碳氮比、速效钾和土壤pH）可以通过近红外光谱结合偏最小二乘法（NIR-PLS）快速评估。     

Comparing multivariate regression and artificial neural network to predict barley production from soil characteristics in northern Iran

In this study artificial neural network (ANN) models were designed to predict the biomass and grain yield of barley from soil properties; and the performance of ANN models was compared with earlier tested statistical models based on multivariate regression. Barley yield data and surface soil samples (0–30 cm depth) were collected from 1 m² plots at 112 selected points in the arid region of northern Iran. ANN yield models gave higher coefficient of determination and lower root mean square error compared to the multivariate regression, indicating that ANN is a more powerful tool than multivariate regression. Sensitivity analysis showed that soil electrical conductivity, sodium absorption ratio, pH, total nitrogen, available phosphorus, and organic matter consistently influenced barley biomass and grain yield. A comparison of the two methods to identify the most important factors indicated that while in the ANN analysis, soil organic matter (SOM) was included among the most important factors; SOM was excluded from the most important factors in the multivariate analysis. This significant discrepancy between the two methods was apparently a consequence ofthe non-linear relationships of SOM with other soil properties. Overall, our results indicated that the ANN models could explain 93 and 89% of the total variability in barley biomass and grain yield, respectively. The performance of the ANN models as compared to multivariate regression has better chance for predicting yield, especially when complex non-linear relationships exist among thefactors. We suggest that for further potential improvement in predicting thebarley yield, factors other than the soil properties considered such as soil micronutrient status and soil and crop management practices followed during the growing season, need to be included in the models.     

Using Canonical Correspondence Analysis (CCA) to identify the most important DEM attributes for digital soil mapping applications

Topography has an important influence on the distribution of soils and their properties, especially in hilly lands, and related data are easily available, measurable and recognizable from digital elevation models (DEMs). To our knowledge, little attention has previously been paid to the effect of DEM attributes on the distribution of soils, using ordination methods. The objective of this study was to analyze relationships between topographical properties derived from DEM and soil distribution and to discuss their applicability in Digital Soil Mapping (DSM). The study was carried out in the Borujen area of central Zagros, Iran. A total of 13 plots (each one of 6.75 ha) were set up to calculate the percentages of the dominant soil series. Fifteen DEM attributes, including slope, aspect, curvature, maximum and minimum curvature, planform curvature, profile curvature, tangent curvature, wetness index, power index, sediment index, area solar radiation, direct radiation, diffuse radiation and direct duration were also computed. Canonical Correspondence Analysis (CCA) was used to summarize the data set and to evaluate the expected relationships. The results obtained show that there was a relatively strong correspondence between soils' series distribution and topographical properties. The DEM attributes that best related to the first axis were maximum curvature, slope and sediment index, all of which significantly positive correlated, and wetness index, direct duration and minimum curvature, all of which were negatively related. The second axis showed a negative trend with wetness index, direct duration and aspect, and a positive trend with sediment index and slope. These gradients were closely related to the first three canonical axes and explained 71.8% of the total variance of the soil series. The residual variance (28.2% of the total variance) was related to other soil forming factors, like parent material and vegetation cover, which were not investigated in this study. Considering that DEMs are still the most important source of environmental information, understanding the role of topographical factors in a region should help us to identify soils and their properties better and enable us to apply these derivates as input data in DSM.     

豫南山区典型林地土壤入渗特征及影响因素分析

为弄清典型林地不同发育阶段表层土壤入渗性能差异规律及其影响因素,通过在豫南山区开展野外调查与室内分析,模拟和分析土壤入渗过程及特征,研究土壤理化性质、地表根系结构对土壤渗透能力的影响。结果表明:1)各个林地类型土层厚度0～10 cm层的土壤渗透能力均高于10～20 cm层;初渗率、稳渗率、前30 min入渗量在各土层深度中均表现相同的趋势,即30 a马尾松针叶林>30 a麻栎阔叶林>30 a麻栎+马尾松混交林>荆条灌丛>20 a麻栎阔叶林>20 a麻栎+马尾松混交>20 a马尾松针叶林;20 a、30 a林分中,平均稳渗率最高的林分类型分别是麻栎阔叶林和马尾松针叶林,分别为3.140和4.256 mm/min。2)土壤渗透特性指标均与土壤有机质质量分数、毛管孔隙度、非毛管孔隙度、根体积密度、根表面积密度存在显著的相关关系(P<0.05);对土壤渗透能力影响最大的土壤理化性质指标和根系结构指标分别是非毛管孔隙度和根表面积密度,典型相关负荷量分别达到0.559和0.773。     

Identifying critical limit in soil and plant for determining response of groundnut (Arachis hypogea) to boron application in Madurai soils of Tamil Nadu,India

To establish critical limit in soils and plant, soil samples were collected from twenty; 12, 5 and 3 soil locations of low, medium and high boron (B) status from Madurai district of Tamil Nadu, India for pot culture experiment. Based on the results of pot culture experiment, the critical limit was determined to be 42.7 mg kg^?1 for groundnut plants and 0.39 mg kg^?1 in Madurai soils. Groundnut plants were highly responded to B application in soils below the critical limit whereas soils with B greater than 0.51 mg kg^?1 did not respond. For the confirmation of pot culture results, a field experiment was conducted with different B treatments comprised of soil and foliar applications and results revealed that the pod yield of groundnut increased with increasing levels of B and the soil application of 20 kg ha^?1 as borax has showed significantly higher pod yield in the district.     

Response of an agricultural soil to pentachlorophenol (PCP) contamination and the addition of compost or dissolved organic matter

The response of a fresh, agricultural soil when contaminated with pentachlorophenol (PCP) and supplemented with compost (C) or dissolved organic matter (DOM) was studied in the laboratory. The concentration of PCP and the changes in various functionally related properties (i.e. microbial biomass, basal respiration, soil hydrolase and oxidoreductase activity) were measured over 150 d. Variations in the main physical and chemical properties of the soils were also monitored. Two different doses of compost (C1 = 0.27% and C2 = 0.83%, corresponding to 10 and 30 t ha⁻¹, respectively) or DOM (D1 = 0.07% and D2 = 0.2%) equivalent to the carbon content of the two compost doses C1 and C2 were used and the following five systems were investigated: soil (S), soil–compost (S-C1 and S-C2) and soil–DOM (S-D1 and S-D2). PCP concentrations declined progressively and significantly with time. This effect was most pronounced for the soils amended with the lower compost dose C1 (S-C1) and with the two DOM (S-D1 and S-D2) amounts. Significantly reduced amounts of PCP were extracted after its 500-d residence in the various systems. Higher amounts of the residual PCP were extracted from the humic acids (HA), fulvic acids (FA) and humin–mineral (HU) fractions of the 500 d aged samples than from the same unfractionated samples, indicating that the residual PCP preferentially accumulated in the organic fractions of soil. The soil showed an endogenous microbial activity as indicated by basal respiration, microbial biomass and all the enzymatic activities tested (dehydrogenase, glucosidase, phosphatase, arylsulphatase and urease). Addition of the PCP severely depressed some of the tested biochemical properties suggesting an inhibitory effect on microbial activity. Conversely, higher basal respiration, and similar β-glucosidase and phosphatase activities were measured in comparison with the controls. No significant effects were observed following the addition of two doses of the compost or the DOM. Fungal colonies belonging to the taxonomic group of Ascomycetes and identified as Byssochlamys fulva developed with time in all the PCP-contaminated samples. Growth of B. fulva in vitro in the presence of PCP showed that the isolate was tolerant to 12.5 and 25 mg l⁻¹ PCP and degraded 20% of its initial concentration in 8 d. Overall, the results indicate that many complex processes occurred in the contaminated soil and combinations of these determined the response to PCP contamination. The sorption of PCP to the soil matrix (which increased with time) and its degradation/transformation by indigenous soil microbial activity were likely involved. Both the processes appeared to be favoured by the presence of dissolved organic matter.     

Ability of some Norwegian soils to supply grass with potassium (K) - soil analyses as predictors of K supply from soil

Abstract. Uptake in grass crops of ammonium acetate lactate extractable K (K_AL) and reserve K (interlayer K + structural K) in soil was studied in 16 field experiments at different locations on a range of mineral soil types in Norway. The K uptake from soil, both from K_AL and reserve K, was considerable, often even at the highest level of K fertilizer. During three years, only on the sandy soils with a low level of acid soluble K (K_HNO3 minus K_AL) was there a yield response to K fertilization. The K_AL values declined rapidly and flattened off at a 'minimum level' which differed with soil type. This minimum level for K_AL is a useful parameter in fertilizer planning, because the grass usually took up the K in excess of the minimum level over two years. The minimum value of K_AL was significantly correlated with the content of clay + silt in soil. The decrease in K_AL during the growing season was closely correlated to the K_AL value in spring minus the minimum value and, therefore, the amount of K supplied to the grass from the K_AL fraction can be calculated. Furthermore, the K_AL value for the following spring may be estimated. The release from reserve K was partially related to acid soluble K.     

沂蒙山区桃园棕壤斥水性对理化性质的空间响应

以沂蒙山区典型土地利用桃园棕壤为例,在分析降雨前后桃园棕壤斥水性与理化性质空间变异的基础上,探讨了棕壤斥水性对土壤含水量、有机质含量和土壤质地的空间响应特征。按照1 m×1 m网格等间距测定降雨前后土壤实际斥水性与含水量,同时采集表层0~3 cm土壤样品,分析其有机质含量与砂粒、粉粒、黏粒含量,并借助经典统计学、地统计学与空间自相关理论对土壤斥水性及理化性质进行空间格局与空间相关性分析。结果表明:沂蒙山区桃园棕壤的斥水程度强烈,雨后斥水性显著降低;降雨前后棕壤斥水性均具有中等变异水平和较强的空间自相关性,且呈指数模型分布,各向异性显著。受结构变异和随机变异作用,斥水性空间格局沿耕作方向呈条带状分布,在其垂直方向上最小变程为1.4 m。土壤质地是影响棕壤斥水性空间变异的主要因素,斥水性与粉粒含量呈空间正相关,与砂粒和黏粒含量呈空间负相关,相关程度粉粒砂粒黏粒;棕壤斥水性与含水量呈空间负相关,相关度雨前较弱,雨后显著。     

有机无机肥配施对红壤旱地花生生理特性、产量及品质的影响

采用大田试验,研究了有机肥和化肥配合施用对红壤区花生产量、品质及生理特性的影响。结果表明:(1)有机无机肥配施显著影响了花生生理特性,随着有机肥比例的增加,叶片净光合速率(Pn)、气孔导度(Gs)、叶绿素含量Chl(a+b)、超氧化物歧化酶(SOD)、过氧化物酶(POD)等先增加后减少,配施35%和50%有机肥处理显著高于其他处理(p0.05)。(2)有机无机肥配施显著影响花生植株营养生长和产量,有机肥比例越高,植株性状越优良,有机肥比例为65%时,花生在成熟期主茎高、侧枝长较常规施肥分别提高8.01 cm和11.20 cm;而有机肥比例为35%时,荚果产量、籽仁产量、单株结果数及百粒重效果增加最明显,分别较常规施肥提高20.14%、26.92%、27.87%和7.08%。(3)有机无机肥配施对提升花生品质作用明显,配施35%处理的花生籽仁脂肪、蛋白质、可溶性糖含量分别较常规施肥提高3.58%、5.03%及12.16%。总之,在等量N、P、K养分条件下,配施35%~50%猪粪N更有利于红壤地区花生产量、品质及生理特性的改善。     

Predicting soil classes with parameters derived from relief and geologic materials in a sandstone region of the Vosges mountains (Northeastern France)

The present study involves the possibility of using geology and relief to map soil classes. We initially focused on two small catchments considered as representative of a 6000-ha forested area overlying a sandstone bed. The catchments differed in the stratigraphic sequence of sandstones, i.e., rich or poor in weatherable minerals. In one, the depleted bedrock was downstream and the rich was upstream, and the converse obtained for the second. Relationships between soil classes and environmental factors were modeled using two discriminant functions corresponding to the two types of stratigraphic sequences found in the catchments. More than 70% of the soil class distribution in small catchments can be explained by the nature of the substratum and attributes derived from a digital elevation model (DEM). These relationships were then applied to a larger region. An automatic catchment delineation was first carried out with the DEM and was then combined with geologic maps. The choice between the two discriminant functions was based on the stratigraphic sequences in each catchment. Predicted soil classes were compared to soil classes conventionally mapped in 1978 at the scale of 1:100,000. The results show that the model reproduced the soil map over 55% of the area studied. Disagreements were due primarily to the existence of superficial deposits not mentioned on the geologic maps and to an altitude effect that is not sufficiently considered in the study of small catchments.     

Dynamics of 13C‐labeled mustard litter (Sinapis alba) in particle‐size and aggregate fractions in an agricultural cropland with high‐ and low‐yield areas

The application of ¹³C‐labeled litter enables to study decomposition processes as well as the allocation of litter‐derived carbon to different soil C pools. ¹³Carbon‐labeled mustard litter was used in order to compare decomposition processes in an agricultural cropland with high‐yield (HY) and low‐yield (LY) areas, the latter being characterized by a finer texture and a lower organic‐C (OC) content. After tracer application, ¹³C concentrations were monitored in topsoil samples in particulate organic matter (POM) and in fine mineral fractions (silt‐ and clay‐sized fractions). After 568 d, approximately 5% and 10% of the initial ¹³C amount were found in POM fractions of LY and HY areas, respectively. Higher amounts were found in POM occluded in aggregates than in free POM. Medium‐term (0.5–2 y) storage of the initial ¹³C in fine silt‐ and clay‐sized fractions amounts to 10% in HY and LY soils, with faster enrichment but also faster disappearance of the ¹³C signal from LY soils. Amounts of 80%–90% of the added ¹³C were mineralized or leached in the observed period. Decomposition of free POM was faster in HY than in LY areas during the first year, but the remaining ¹³C amounts in occluded‐POM fractions were higher in HY soils after 568 d. High‐yield and low‐yield areas showed different ¹³C dynamics in fine mineral fractions. In LY soils, ¹³C amounts and concentrations in mineral‐associated fractions increased within 160 d after application and decreased in the following time period. In HY areas, a significant increase in ¹³C amounts did not occur until after 568 d. The results indicate initially faster decomposition processes in HY than in LY areas due to different soil conditions, such as soil texture and water regime. The higher silt and clay contents of LY areas seem to promote a faster aggregate formation and turnover, leading to a closer contact between POM and mineral surfaces in this area. This favors the OC storage in fine mineral fractions in the medium term. Lower aggregate formation and turnover in the coarser textured HY soil leads to a delayed C stabilization in silt‐ and clay‐sized fractions.     

Studies on Nutrient Distribution in Some Zambian Soils with Special Reference to Sulphur Using GIS (Geographic Information Systems) I. Total Sulphur Distribution in Major Zambian Soils

Total sulphur content of some benchmark soils was evaluated by correlating with the contents of soil organic C and amorphous oxides (Al and Fe), and the particle size distribution. An equation model to calculate the content of total soil sulphur was first obtained by regression analysis. Introducing these chemical and physical data of all the map units except for the wetlands into the equation model, the sulphur level on a national scale was estimated for each soil mapping unit in the exploratory soil map of Zambia. Second, the total sulphur content was rated into 3 classes based on the frequency distribution of the total sulphur content in the benchmark soils. Finally, the rated total sulphur content was incorporated into the national soil map database of GIS to produce a map with the total sulphur content of Zambian soils. The extent of each class was calculated and the distribution of the areas was examined in relation to rainfall and soil formation.     

Studies on Nutrient Distribution in Some Zambian Soils with Special Reference to Sulphur Using GIS (Geographic Information Systems) I. Total Sulphur Distribution in Major Zambian Soils

Total sulphur content of some benchmark soils was evaluated by correlating with the contents of soil organic C and amorphous oxides (Al and Fe), and the particle size distribution. An equation model to calculate the content of total soil sulphur was first obtained by regression analysis. Introducing these chemical and physical data of all the map units except for the wetlands into the equation model, the sulphur level on a national scale was estimated for each soil mapping unit in the exploratory soil map of Zambia. Second, the total sulphur content was rated into 3 classes based on the frequency distribution of the total sulphur content in the benchmark soils. Finally, the rated total sulphur content was incorporated into the national soil map database of GIS to produce a map with the total sulphur content of Zambian soils. The extent of each class was calculated and the distribution of the areas was examined in relation to rainfall and soil formation.