施肥对黑土农田土壤全碳、微生物量碳及土壤酶活性的影响

通过对吉林省德惠市中层黑土农田6年定位施肥试验研究表明,施有机肥、秸秆还田+有机肥、秸秆还田+化肥和半量有机肥+化肥处理较单施化肥、未施肥和休闲裸地处理提高了土壤全碳、全氮含量,降低了土壤碳氮比。对玉米播前、抽穗期和收获期土壤微生物量碳测定表明,抽穗期土壤微生物量碳最高,处理间差异显著,且不同采样时期的土壤微生物量碳与土壤全碳含量之间呈高度正相关。对土壤酶活性研究表明,施有机肥较单施化肥、未施肥和休闲裸地处理显著地提高了土壤脲酶、转化酶和过氧化氢酶活性;单施化肥处理对土壤转化酶和过氧化氢酶具有一定的抑制作用;而有机肥、秸秆和化肥之间的配合施用处理的土壤酶活性表现不一致。相关分析显示土壤微生物量碳与土壤酶活性呈显著或极显著正相关。该研究结果表明,长期向中层黑土农田增施有机物,不仅提高了土壤全碳和土壤微生物量碳的含量,而且也提高土壤酶活性,有利于提高土壤养分转化效率,可使黑土质量向健康方向发展。     

长期施肥砂姜黑土微生物学特征差异及评价

【目的】作为安徽省主要中低产土壤类型之一,砂姜黑土不良属性严重制约旱地粮食作物稳产增产,因此本研究利用长期定位试验研究砂姜黑土微生物特征对不同施肥模式的响应,为改善砂姜黑土生态功能、提高地力可持续性等提供理论依据。【方法】基于安徽省杨柳长期定位试验(始于1981年),研究5种施肥模式不施肥(CK)、单施化肥(NPK)、单施有机肥(M)、有机肥与化肥配施(等氮)(MNPK)、有机肥与化肥配施(高氮)(HMNPK)砂姜黑土耕层土壤可培养微生物数量、微生物生物量及酶活性等微生物学性状的变化规律,并通过主成分分析方法对不同施肥模式下的土壤微生态进行综合评价。【结果】与不施肥相比,长期施用有机肥(M、MNPK和HMNPK)可显著增加土壤微生物总数量(15.68~22.80倍),尤其是细菌和放线菌数量二者分别于M、MNPK处理达最高值(30.50×10~5cfu/g和15.50×10~4 cfu/g);长期单施有机肥对土壤真菌有明显抑制作用,单施化肥有利于土壤真菌数量的增加。施用有机肥(M、MNPK和HMNPK)可有效增加土壤微生物生物量碳、氮含量,其中MNPK处理微生物量碳含量增幅最高,达119.74%但与M、HMNPK处理差异不明显,微生物量氮含量增幅达88.46%,显著高于M、HMNPK处理;长期单施化肥仅对微生物量碳含量有提增作用(38.87%)对微生物量氮作用不明显,其对微生物量碳的提增作用显著低于其他施肥处理。长期单施有机肥可显著提高土壤脲酶与转化酶活性,抑制磷酸酶活性,长期单施化肥的作用则相反。用主成分分析方法将9个生物指标降维提取出2个主成分,第一主成分以细菌、放线菌、微生物量碳、微生物量氮、脲酶和转化酶为主要影响因子,第二主成分以为真菌、酸性和中性磷酸酶为主要影响因子分别代表了与碳、氮和磷循环密切相关微生物影响因子。通过综合得分把不同施肥模式下砂姜黑土微生物生态划分为3个等级,一等包括长期有机肥与化肥配施(等氮与高氮),二等包括长期单施有机肥,三等为长期单施化肥与不施肥。【结论】通过综合评价可得砂姜黑土的微生物生态状况在长期有机肥与化肥配施条件下最佳单施有机肥次之而长期单施化肥与不施肥的较差。     

长期施肥对黑土、棕壤微生物量的影响

以公主岭黑土长期定位试验和中科院沈阳生态试验站棕壤长期试验为平台,对不同施肥处理土壤微生物量碳、氮含量的变化及其与土壤有机碳、全氮的关系进行研究。结果表明,长期不同施肥处理黑土和棕壤微生物量碳、氮含量不同,大小依次为有机肥配施化肥>有机肥>化肥>不施肥,其中有机肥配施化肥处理可以显著提高土壤微生物量碳、氮。微生物量碳、氮含量与土壤有机碳、全氮含量之间具有极显著的正相关关系。同时,有机肥配施化肥处理能够显著增加土壤微生物商。     

长期有机培肥模式下黑土碳与氮变化及氮素矿化特征

土壤氮的矿化是土壤氮素肥力的重要指标,是影响作物产量至关重要的因素。本研究依托黑土长期定位试验,通过取样分析研究了32 a不同培肥模式下黑土碳、 氮及主要活性组分的变化,采用淹水培养法研究了不同施肥模式下黑土氮素的矿化特征。结果表明,施肥显著提高黑土可溶性碳（DOC）、 氮（DON）的含量及其比例。在氮、 磷、 钾化肥的基础上配施有机肥,显著降低了土壤微生物量氮（SMBN）占土壤总氮的比例,提高了土壤微生物量的C/N比值（SMBC/SMBN）,促进了土壤氮的生物固持。施肥32 a后,单施常量和高量有机肥处理的土壤氮的矿化量（Nt）显著提高,分别相当于不施肥的8.2倍和10.2倍,而单施氮或氮磷钾化肥对黑土氮素矿化量无明显影响。施用有机肥显著提高了土壤氮素的矿化率（Nt/TN）,但有机肥配施化肥（氮或氮磷钾）的处理与单施有机肥相比,黑土氮的矿化率显著降低,降低幅度分别为23.5%~32.1% 和14.1%~17.8%。土壤氮素矿化量与土壤有机质、 全氮储量、 活性碳、 氮组分均呈极显著线性相关,但氮素的矿化率随着有机质和全氮含量的提高而提高至0.4% 后基本稳定。表明尽管土壤氮的矿化与有机质的含量直接相关,但土壤有机质的品质同样决定着土壤氮素的矿化能力。施有机氮是提高土壤供氮能力的重要途径。     

长期定位施肥对潮土腐植酸含量及其相关因素的影响

利用中国科学院封丘农业生态国家实验站潮土农田生态系统养分平衡长期定位试验地,研究不同施肥处理对春秋两季土壤腐植酸含量、微生物生物量碳及转化酶活性的影响。结果发现,与不施肥对照相比,单施NK或单施PK对土壤pH和有机碳含量均没有显著影响;单施有机肥、施NPK化肥、1/2 OM + 1/2 NPK有机无机配施以及施NP等4种处理均显著抑制了土壤pH的升高,提高了土壤有机碳与全氮含量;其中单施有机肥还显著提高了土壤腐殖质中胡敏酸的含量以及微生物生物量碳和转化酶活性,有机肥与化肥配施效果次之。结果表明,长期施用有机肥更有利于提高土壤肥力质量与健康质量。     

施肥对砂姜黑土基础肥力及强筋小麦产量、品质的影响

为探讨不同施肥方式对砂姜黑土的培肥效果和不同土壤基础肥力水平对优质强筋小麦产量及品质的影响,在22年长期定位试验的基础上,研究了不同施肥方式下砂姜黑土基础肥力的变化,并分析了土壤主要养分性状与强筋小麦产量和品质的关系.结果表明,长期单施有机肥或有机肥与化肥配合施用均能较单施化肥处理显著提高土壤全氮、有机质、碱解氮、速效磷及速效钾的含量;同一施氮水平,有机肥与化肥配施处理的基础肥力产量(不施肥时的产量)较单施化肥的高2715.0kg·hm-2.土壤有机质、全氮、全磷及速效磷含量与籽粒产量、蛋白质、湿面筋和沉降值均呈正相关.有机肥与化肥配施不仅是培肥地力的主要途径,同时还是确保优质小麦保优栽培,实现可持续发展的有效措施.     

菌肥与有机无机肥配施对石灰性土壤不同形态氮素的影响

利用不同施肥处理对山西省晋中市石灰性土壤几种不同形态氮素含量的变化及其相关性进行研究。结果表明:每个施肥处理施入等量的氮(N)、磷(P2O5),土壤的铵态氮、硝态氮及微生物氮含量都在逐年增加,其中有机肥+化肥+菌肥处理对提高土壤铵态氮作用明显;单施有机肥处理对提高土壤硝态氮效果显著,与有机肥+化肥+菌肥、有机肥+化肥处理效果差异性不显著;有机肥+化肥+菌肥处理对土壤微生物氮效果最明显,有机肥+化肥效果次之,两处理差异显著。土壤铵态氮和硝态氮含量呈显著正相关;微生物氮与铵态氮、硝态氮含量相关性都不好;菌肥与有机无机肥配施后,菌肥对于提高土壤微生物氮最显著(10.09%),铵态氮次之(6.24%),硝态氮不明显(2.05%),因此虽然添加了菌肥,但是没有完全改变"有机肥+化肥+菌肥"仍然是"有机肥+化肥处理"的本质属性。     

长期施肥对不同有机质水平黑土蛋白酶活性及氮素的影响

为了探讨长期施肥对不同有机质含量农田黑土酶活性及养分的影响。本研究以黑土生产力长期定位试验为平台,选取5个不同有机质含量农田黑土为研究对象,对比分析长期施用化肥对农田黑土土壤蛋白酶活性及相关土壤养分的影响。结果表明:5种不同有机质含量农田黑土蛋白酶活性随有机质含量的增加而递增;与长期无肥处理相比,施用化肥显著提高了农田黑土蛋白酶的活性。不同施肥处理间土壤全氮随有机质含量的降低而降低,铵态氮、硝态氮与全氮含量变化一致。相关分析显示,土壤蛋白酶活性与土壤全氮、铵态氮、硝态氮均呈显著的正相关关系(P0.05)。土壤蛋白酶活性可以作为长期施用化肥农田黑土质量评价的灵敏指标。     

不同施肥制度对玉米生育期土壤微生物量的影响

通过测定不同施肥制度下玉米土壤微生物量碳、氮的动态变化,探讨了不同施肥制度对玉米土壤的培肥效应。研究结果表明,与无肥、单施有机肥、单施化肥相比,有机肥与N、P、K肥配合施用能显著增加玉米各生育时期的土壤微生物量碳、氮,促进土壤微生物量显著增长,增强了土壤养分容量的供应强度,有利于培肥土壤。     

长期定位施肥对砂姜黑土肥力及生产力的影响研究

长期定位试验研究化肥与有机肥配施对砂姜黑土土壤肥力和作物产量的影响结果表明 ,长期施肥可提高土壤碱解氮、速效磷及有机质含量 ,不同肥料组合间差异较大 ,以有机肥与化肥配施处理效果最佳 (但同时必须重视K素的投入 ) ,土壤速效钾仅全部施用有机肥处理有所增加 ,单施N、P化肥处理下降最多 ,至 15年后下降2 5 .8%。长期未施肥处理 (对照 )碱解氮变化最大 ,较试验前下降 2 6 .5 % ,其他养分指标变化较小。有机肥与化肥配施处理产量前期不及单施化肥处理 ,中后期则反之。砂姜黑土基本生产力随种植时间延长而渐降 ,土壤对秋粮大豆或玉米的供肥能力高于小麦。     

Effect of tillage treatments upon soil tests for soil acidity,soil phosphorus and soil potassium at three soil depths

Abstract

Soil samples were obtained at 0–3, 3–6, 6–9 and 0–9 inch depths from experimental plots receiving five tillage treatments. Each of two samplers composited approximately six one‐inch cores from each plot. Soil samples were analyzed for acidity, P and K using routine analysis procedures in the University of Illinois Soil Testing Laboratory.

Few significant differences were attributed to sampler and it was concluded that samplers using similar sampling techniques were obtaining soil samples from the same population.

No significant differences in soil acidity at different depths were observed. The different tillage methods did significantly affect soil P at the 0–3 inch depth, but had no significant effect on soil P at deeper depths. Different tillage methods also significantly affected soil K values at different depths.     

Usability of soil survey soil texture data for soil health indicator scoring

Soil textural information is an important component underlying other soil health indicators. Soil texture analysis is a common procedure, but it can be labor intensive and expensive. Soil texture data typically are available from the Soil Survey Geographic (SSURGO) database, which may be an option for determining soil health texture groups (SHTG). The SSURGO database provides soil texture information in the soil map unit (SMU) name, taxonomic class category (family), and detailed values (≤ 2 mm soil fraction) of percent sand, silt and clay by soil horizon. The objective of this study was to examine the possibility of using SSURGO data for SHTG at the 147-ha Cornell University Willsboro Research Farm in New York state as an alternative for soil texture data determined manually on collected soil core samples. Comparative results revealed that representative values for soil texture from the SSURGO database generally matched measured mean values for all SMUs.     

土壤含水率与土壤碱度对土壤抗剪强度的影响

土壤含水率和土壤碱度是表征土壤物理化学性质的两个重要参数。通过室内三轴不固结不排水试验，研究了土壤含水率和土壤碱度对土壤抗剪强度的影响。试验处理采用5种土壤碱度(土壤可交换钠百分比ESP=0、5、10、20、40)和4种土壤质量含水率(0.05、0.10、0.20以及饱和含水率0.34)水平。试验结果显示，土壤黏聚力随着土壤含水率的增加基本上呈先增大后减小之趋势；当土壤含水率在0.10附近时黏聚力达到其最大值。土壤内摩擦角随着土壤含水率的增加而线性减小。土壤碱度对土壤黏聚力的影响机理较为复杂，其影响效果随土壤含水率的增加而减小；但土壤碱度对土壤内摩擦角的影响较小。土壤碱度对土壤抗剪强度的影响程度明显地小于土壤含水率对其的影响程度。     

Relationships between soil respiration and soil moisture

The interaction of soil microbes with their physical environment affects their abilities to respire, grow and divide. One of these environmental factors is the amount of moisture in the soil. The work we published almost 25 years ago showed that microbial respiration was linearly related to soil-water content and log-linearly related to water potential. The paper arose out of collaboration between two young researchers from different areas of soil science, physics and microbiology. The project was driven by not only our curiosity but also the freedom to operate without the constraints common to the current system of science management. The citation history shows three peaks, 1989, 1999 and from 2002 to the present day. Interestingly, the annual citation rate is as high as it has ever been. The initial peak is due to the application of the work to studies on microbial processes. The second peak is associated with the rise of simulation modelling and the third with the relevance of the findings to climate change research. In this article, our paper is re-evaluated in the light of subsequent studies that allow the principle of separation of variables to be tested. This re-evaluation lends further credence to the linear relationship proposed between soil respiration and water content. A scaled relationship for respiration and water content is presented. Lastly, further research is suggested and more recent work on the physics of gas transport discussed briefly.     

A soil core for routine soil sampling

Abstract

The design, materials and dimensions for constructing a coring device for sampling soil fauna and flora at different depths is described.     

Relationship between soil respiration and soil moisture

Microbial activity is affected by changes in the availability of soil moisture. We examined the relationship between microbial activity and water potential in a silt loam soil during four successive drying and rewetting cycles. Microbial activity was inferred from the rate of CO₂ accumulating in a sealed flask containing the soil sample and the CO₂ respired was measured using gas chromatography. Thermocouple hygrometry was used to monitor the water potential by burying a thermocouple in the soil sample in the flask. Initial treatment by drying on pressure plates brought samples of the test soil to six different water potentials in the range -0.005 to -1.5MPa. Water potential and soil respiration were simultaneously measured while these six soil samples slowly dried by evaporation and were remoistened four times. The results were consistent with a log-linear relationship between water potential and microbial activity as long as activity was not limited by substrate availability. This relationship appeared to hold for the range of water potentials from ?0.01 to ?8.5 MPa. Even at ?0.01 MPa (wet soil) a decrease in water potential from ?0.01 to ?0.02 MPa caused a 10% decrease in microbial activity. Rewetting the soil caused a large and rapid increase in the respiration rate. There was up to a 40-fold increase in microbial activity for a short period when the change in water potential following rewetting was greater than 5 MPa. Differences in microbial activity between the wetter and drier soil treatments following rewetting to the original water potentials are discussed in terms of the availability of energy substrate.     

Volumetric soil measures for routine soil testing

Abstract

The design, dimensiors and materials for constructing volumetric soil measures for routine soil testing use are presented. Scoop calibration techniques are also described. Reproducibility of results obtained under routine laboratory, conditions are shown. The measures include volumes of 1.0‐, 2.5‐, 5.0‐ and 10‐ cm³ respectively.     

Why soil erosion models over-predict small soil losses and under-predict large soil losses

Evaluation of various soil erosion models with large data sets have consistently shown that these models tend to over-predict soil erosion for small measured values, and under-predict soil erosion for larger measured values. This trend appears to be consistent regardless of whether the soil erosion value of interest is for individual storms, annual totals, or average annual soil losses, and regardless of whether the model is empirical or physically based. The hypothesis presented herein is that this phenomenon is not necessarily associated with bias in model predictions as a function of treatment, but rather with limitations in representing the random component of the measured data within treatments (i.e., between replicates) with a deterministic model. A simple example is presented, showing how even a `perfect' deterministic soil erosion model exhibits bias relative to small and large measured erosion rates. The concept is further tested and verified on a set of 3007 measured soil erosion data pairs from storms on natural rainfall and run-off plots using the best possible, unbiased, real-world model, i.e., the physical model represented by replicated plots. The results of this study indicate that the commonly observed bias, in erosion prediction models relative to over-prediction of small and under-prediction of large measured erosion rates on individual data points, is normal and expected if the model is accurately predicting erosion rates as a function of environmental conditions, i.e., treatments.     

An equivalent soil mass procedure for monitoring soil organic carbon in multiple soil layers

Soil carbon stocks are commonly quantified at fixed depths as the product of soil bulk density, depth and organic carbon (OC) concentration. However, this method systematically overestimates OC stocks in treatments with greater bulk densities such as minimum tillage, exaggerating their benefits. Its use has compromised estimates of OC change where bulk densities differed between treatments or over time periods. We argue that its use should be discontinued and a considerable body of past research re‐evaluated. Accurate OC estimations must be based on quantification in equivalent soil masses (ESMs). The objective of this publication is to encourage accurate quantification of changes in OC stocks and other soil properties using ESM procedures by developing a simple procedure to quantify OC in multiple soil layers. We explain errors inherent in fixed depth procedures and show how these errors are eliminated using ESM methods. We describe a new ESM procedure for calculating OC stocks in multiple soil layers and show that it can be implemented without bulk density sampling, which reduces sampling time and facilitates evaluations at greater depths, where bulk density sampling is difficult. A spreadsheet has been developed to facilitate calculations. A sample adjustment procedure is described to facilitate OC quantification in a single equivalent soil mass layer from the surface, when multiple‐layer quantification is not necessary.     

节水灌溉对盐渍土盐分调控与土壤微生物区系的影响

河套灌区是我国大型自流灌区之一,盐渍化是该区土壤主要障碍因素之一。目前,河套灌区葵花田生育期灌溉量约为1 100～1 200 m3hm-2,灌溉用水量偏大和地下水位偏高已成为制约当地灌溉农业可持续发展的主要障碍:一方面,水资源浪费严重;另一方