Compost Sampling for Nutrient and Quality Parameters: Variability of Sampler,Timing and Pile Depth

In order to establish analysis-based quality guidelines for composts, it is necessary to have information about the variability of these traits as dependent on sampling methods. Composts exhibit significant spatial, site and time-related variability. In a preliminary survey of commercial and home users of compost in New York State, respondents indicated strong interest in test quality of purchased composts. However, little work has been done examining the consistency of reported values in composts sampled and shipped to laboratories. We evaluated within-farm and between-sampler variability of test traits at 7 farm compost sites. In one study we compared farmer and extension agents as separate samplers of the same compost piles. In the next study we examined repeated sampling by same sampler visiting the site a second time. Finally, we compared depth-based sampling variability at 3 selected farm compost sites. Analysis of variance was employed to distinguish effects of samplers, sampling timing and farms. The data showed very small differences in test values due to samplers for all parameters except weed seed and fecal coliforms. Geometric mean transformation eliminated fecal counts as a source of significant variability. Repeated sampling after two weeks of matured compost indicated no appreciable differences between points of time except for weed seeds. The sampling-depth study revealed significant variation of several selected test parameters attributed to pile stratification, and the variables most affected were moisture, potassium and weed seeds. Weed seed testing may not be useful for a quality parameter unless methodological variance is better understood. Overall, biological parameters varied less than chemical traits. The study underscores that prior to establishing numerical quality guidelines the preferred compost pile sampling protocol should be very carefully described.     

Genetic diversity and relationships among cultivated and wild accessions of tartary buckwheat (Fagopyrum tataricum Gaertn.) as revealed by RAPD markers

The methodology of sampling and the selection of a proper marker systemfor the analysis of accessions are major concerns in the evaluation of gene bank material. In our study the RAPD analysis of bulked DNA samples and single seedsDNA was successfully employed to evaluate intra- and inter-population geneticvariability of cultivated and wild tartary buckwheat accessions. The bulkingapproach enabled the distinction of all 40 analysed accessions and theirseparation into geographically well defined clusters. Three wild populations,two from Sichuan and one from Qinghai, formed a group that was geneticallyrelatively distant from wild populations from Tibet and all cultivatedlandraces which, on the other hand, exhibited very close relationships. Thesingle seed study that was used after bulked DNA analysis provided detailedinformation of the genetic variation present within some accessions of specialinterest. A moderate level of genetic variability was detected betweenaccessions and the variability was partitioned into between- andwithin-population components. On average, most of the detected variation ispresent between F. tataricumpopulations. The genetic and geographic distribution of variability is furtherdiscussed. We demonstrated the usefulness of combining bulking and single seedstudy approaches for the effective evaluation of genetic variability inF. tataricum accessions that couldalso have wider applicability in the management of plant genetic resources andphylogenetic studies.     

Multiscale spatial variability of CO2 emissions and correlations with physico-chemical soil properties

Spatial variability of greenhouse gas (GHG) emissions from agricultural lands is not well known although it has a great impact on the accuracy of GHG budget.The objectives of this study were to assess the spatial variability of CO₂ emission fluxes (CO_2-flux) and correlate these emissions with soil physico-chemical properties at two spatial scales and at different depths using a new geostatistical approach (coregionalization analysis with a drift, CRAD) that performs multiscale spatial analysis.Two agricultural sites with sandy and loamy soils were instrumented at 108 geo-referred sampling points and at two depths during spring 2007 where soil surface CO_2-flux and soil physico-chemical parameters were measured. The CO_2-flux presented spatial patterns characterized by different scales (i.e., non-spatial, small spatial and large spatial scale components), each describing a different fraction of its variability. About a quarter of CO_2-flux variability at the first site and one fifth at the other site was attributed to the non-spatial component. Strongest correlations were obtained between CO_2-flux and soil temperature, water saturation (S_w), elevation, electrical conductivity, soil bulk density, and the C/N ratio, but with differences between sites. Correlations were much stronger at large scale. Analyzing correlations between CO_2-flux and soil properties without discriminating for scales can miss important scale-dependent processes controlling soil gas emissions. Scales at which these processes vary should therefore be taken into account.     

由电子废物处理和回收引起的土壤污染: 特别关注中国

This short review deals with soils as an important source of the greenhouse gas N2O. The production and consumption of N2O in soils mainly involve biotic processes: the anaerobic process of denitrification and the aerobic process of nitrification. The factors that significantly influence agricultural N2O emissions mainly concern the agricultural practices (N application rate, crop type, fertilizer type) and soil conditions (soil moisture, soil organic C content, soil pH and texture). Large variability of N2O fluxes is known to occur both at different spatial and temporal scales. Currently new techniques could help to improve the capture of the spatial variability. Continuous measurement systems with automatic chambers could also help to capture temporal variability and consequently to improve quantification of N2O emissions by soils. Some attempts for mitigating soil N2O emissions, either by modifying agricultural practices or by managing soil microbial functioning taking into account the origin of the soil N2O emission variability, are reviewed.     

Relationship between mean yield,coefficient of variation,mean square error,and plot size in wheat field experiments

Abstract

Large coefficients of variation (>30%) are often associated with increased experimental variability. The objective of this study was to examine the relationships between mean square errors, yield means, coefficients of variation (CV), and plot size using statistical information compiled from past wheat field research projects. Three hundred and sixty two wheat field research projects were selected from over 2,000 published wheat experiments that included soil fertility, weed, tillage, and variety evaluation. Little or no relationship between mean square error (MSE) and mean yield or plot size was found. However, mean yields and CVs demonstrated a significant negative correlation. This work proposes decreased variability among experimental units as defined by the CV can be accomplished simply by increasing the mean yield, suggesting that the use of the CV may be improper when comparing variability of trials from similar experiments. Attempts to compare variation from similar experiments should be done using the MSE since unit differences would not be a problem. The CV should only be used when comparing variation from experiments using different metrics. Plot size in plant breeding variety trials (average of 3.59 m²) was much smaller than that in fertilizer/weed/tillage trials (average of 37.2 m²). The smaller plot size employed in the variety trials reduced the variability encountered in the estimation of the mean and is consistent with the resolution where detectable differences in soil test parameters exist and that should be treated independently.     

RAPID REPRESENTATIVE SAMPLING OF SOIL GASES AND THEIR DETERMINATION BY MASS SPECTROMETRY

The use of a portable field probe for sampling soil gas gives the degree of replication necessary to allow for the local variability of soil gas composition over short distances, and mass spectrometry provides a quick and efficient method of analysis for gases at concentrations above 0.1% by volume. These methods can conveniently be combined and their use is illustrated by the determination of N₂, O₂, Ar, CO₂ and CH₄ in two soils having impeded gaseous exchange with the atmosphere.     

Evaluation of the Pollutant Content in Road Runoff First Flush Waters

Road runoff waters are able to convey a number of organic and inorganic pollutants originated by different non-point sources and by the road surface itself. Such pollutants can enter aquatic systems, thus contributing to water and soil contamination. This study was aimed at evaluating the pollutant content in first flush runoff waters from a highway located in Central Italy. A water sampling apparatus was devised able to collect only the first 10 L of runoff water. Water samples were analyzed by atomic absorption spectroscopy, ion chromatography, and gas chromatography-mass spectrometry in order to determine metals, ions, and polynuclear aromatic hydrocarbons, respectively. Soil samples were collected as well for metal and hydrocarbon determination. Results obtained in a field experiment carried out in two different seasons and in two different sites along the highway are reported. The study was extended to water samples collected in a strip of the same road not yet in use. Results obtained showed a temporal and a spatial variability due to the different period rainfall and to sites features, respectively. Within such a variability, a substantial agreement, in terms of order of magnitude, with other studies carried out in European sites was observed.     

Impacts of land-use pattern on soil water-content variability on the Loess Plateau of China

Abstract

Long-term vegetation restoration carried out on the slopes of the Loess Plateau of China employed different spatial and temporal land-use patterns but very little is known about the effects of these patterns on soil water-content variability. For this study the small Donggou catchment was selected to investigate soil water-content distributions for three spatial scales, including the entire catchment area, sampling transects, and land-use systems. Gravimetric soil water contents were determined incrementally to a soil depth of 1.20 m, on 10 occasions from April to October, 2007, at approximately 20-day intervals. Results indicated that soil water contents were affected by the six land-use types, resulting in four distinct patterns of vertical distribution of soil moisture (uniform, increasing, decreasing, and fluctuating with soil depth). The soil water content and its variation were also influenced in a complex manner by five land-use patterns distributed along transects following the gradients of five similar slopes. These patterns with contrasting hydrological responses in different components, such as forage land (alfalfa)–cropland–shrubland or shrubland–grassland (bunge needlegrass)–cropland–grassland, showed the highest soil water-content variability. Soil water at the catchment scale exhibited a moderate variability for each measurement date, and the variability of soil water content decreased exponentially with increasing soil water content. The minimum sample size for accurate data for use in a hydrological model for the catchment, for example, required many more samples for drier (69) than for wet (10) conditions. To enhance erosion and runoff control, this study suggested two strategies for land management: (i) to create a mosaic pattern by land-use arrangement that located units with higher infiltration capacities downslope from those with lower soil infiltrabilities; and (ii) raising the soil-infiltration capacity of units within the spatial mosaic pattern where possible.     

Modeling leaf area index from litter collection and tree data in a deciduous broadleaf forest

Leaf area index (LAI) is an important index in ecological and meteorological studies. The litter trap method is commonly used to measure LAI in deciduous forests. To reduce the time consumed in sorting leaf litterfall by species in the litter trap method, we developed four models to predict LAI using litter traps and tree census data. The local dominance model, which estimates the leaf litterfall amount of each species by their local dominance, predicted mean and spatial variability of LAI most accurately compared to the 2 models that did not take into account spatial heterogeneity of species distribution within a forest or the model that estimated litterfall amount from leaf dispersal function. Therefore, this model can be employed instead of sorting leaf litter by species. Furthermore, we found that leaf mass per area (LMA) of at least 10 dominant species are essential for accurate estimation of LAI. Present results suggest that spatial variability of LAI is mainly due to spatial variance of leaf litterfall followed by spatial heterogeneity of species distribution within a forest, and difference in LMA among species.     

Effect of household processing and unit-to-unit variability of pyrifenox, pyridaben, and tralomethrin residues in tomatoes

Residue levels of pyrifenox, pyridaben, and tralomethrin were determined in unprocessed and processed tomatoes, grown in a experimental greenhouse, to evaluate the effect of three different household processes (washing, peeling, and cooking) and the "unit to unit" variability of these pesticides in tomatoes. The study was carried out on 11 greenhouse tomato samples collected during a 5 week period in which two successive treatments with the studied pesticides were applied. Residue levels in unprocessed and processed tomato samples were determined by means of ethyl acetate extraction and gas chromatography-electron capture detection determination. The washing processing factor results were 0.9 +/- 0.3 for pyridaben, 1.1 +/- 0.3 for pyrifenox, and 1.2 +/- 0.5 for tralomethrin, whereas the peeling processing factors were 0.3 +/- 0.2 for pyridaben and 0.0 +/- 0.0 for both pyrifenox and tralomethrin. The average loss of water in the tomato pure samples during the cooking process was approximately 50%; the cooking processing factors were 2.1 +/- 0.8 for pyridaben, 3.0 +/- 1.1 for pyrifenox, and 1.9 +/- 0.8 for tralomethrin. The unit-to-unit variability factors were determined on three different greenhouse samples analyzing 10 different units of unprocessed tomatoes from each sample. In all cases, the unit-to-unit variability factor results were within the range of 1.3-2.2.     

农业土壤中的氧化亚氮排放: 为减排综述时空变化

This short review deals with soils as an important source of the greenhouse gas N2O. The production and consumption of N2O in soils mainly involve biotic processes: the anaerobic process of denitrification and the aerobic process of nitrification. The factors that significantly influence agricultural N2O emissions mainly concern the agricultural practices (N application rate, crop type, fertilizer type) and soil conditions (soil moisture, soil organic C content, soil pH and texture). Large variability of N2O fluxes is known to occur both at different spatial and temporal scales. Currently new techniques could help to improve the capture of the spatial variability. Continuous measurement systems with automatic chambers could also help to capture temporal variability and consequently to improve quantification of N2O emissions by soils. Some attempts for mitigating soil N2O emissions, either by modifying agricultural practices or by managing soil microbial functioning taking into account the origin of the soil N2O emission variability, are reviewed.     

黄土高原退耕坡地土壤水分空间变异的尺度性研究

在面积60 m×60 m的坡地上采用2 m×2 m的网格进行高密度土壤水分测定,通过改变采样幅度和采样间距的“再采样”方法,选取变异系数、相关距离和Moran的I相关指数3个参数作为表征空间变异大小的指标,研究了尺度大小对土壤水分空间变异的影响。研究结果表明,随着采样幅度尺度在一定范围内的增大,土壤水分变异的特征参数如变异系数、相关距离和Moran的I相关指数都呈不同程度地增大;当采样间距增大时,变异系数和Moran的I相关指数没有变化,而相关距离却减小。     

Carbon Dioxide in Arable Soil Profiles: A Comparison of Automated and Manual Measuring Systems

Carbon dioxide (CO₂) concentrations in arable soil profiles are influenced by autotrophic and heterotrophic respiration as well as soil physical properties that regulate gas transport. Although different methods have been used to assess dynamics of soil CO₂ concentrations, our understanding of the comparability of results obtained using different methods is limited. We therefore aimed to compare the dynamics in soil CO₂ concentrations obtained from an automated system (GMP343 sensors) to those from a manually operated measurement system (i.e., soil gas sampled using stainless steel needles and rods). In a winter wheat field in Denmark, soil CO₂ concentrations were measured from 29 November 2011 to 14 June 2012 at upslope and footslope positions of a short catena (25 m). Carbon dioxide was measured at 20- and 40-cm soil depths (i.e., within and below the nominal plow layer) using the two measurement systems. Within the measurement range for the GMP343 sensors (0–20,000 ppm), mean results from the two systems were similar within the plow layer at the upslope (P = 0.060) and footslope (P = 0.139) position, and also below the plow layer at the upslope position (P = 0.795). However, results from the two systems deviated for the soil from the footslope position below the plow layer (P = 0.001). These results were partly attributed to larger variation in soil parameters below than within the nominal plow layer. The data suggested that generally the application of either system may be adequate; however, differences may occur in response to soil spatial variability. A better coverage of spatial variability is more easily addressed using manually operated systems, whereas temporal variability can be covered using the automated system. Depending on the aim of the study, the two systems may be used in combination to enhance both spatial and temporal data coverage.     

Evaluation of analysis of polycyclic aromatic hydrocarbons by the QuEChERS method and gas chromatography-mass spectrometry and their formation in poultry meat as affected by marinating and frying

The objectives of this research were to develop a method for the determination of 16 polycyclic aromatic hydrocarbons (PAHs) in poultry meat by combining the quick, easy, cheap, effective, rugged, and safe (QuEChERS) method with gas chromatography-mass spectrometry (GC-MS) and study their formation during marinating and frying. The recoveries of 16 PAHs ranged from 94.5 to 104% in blank samples and from 71.2 to 104% in poultry meat samples. The quantitation limits of 16 PAHs were from 0.02 to 1 ng/mL, with the intraday variability being from 2.4 to 6.6% [percent relative standard deviation (RSD%)] and interday variability being from 3.3 to 7.1% (RSD%). Most PAHs followed a time-dependent increase over a 24 h marinating period, with naphthalene being generated in the largest amount. Among the various poultry meat, chicken gizzard produced the highest level of total PAHs after 24 h of marinating. A similar tendency was observed for most PAHs during frying of poultry meat, but a high amount of total PAHs was shown in duck drumstick after 15 min of frying.     

Critical loads of sulfur and nitrogen for lakes II: Regional extent and variability in Finland

The concept of critical loads has been developed to assist in the design of environmentally sound abatement strategies for the emissions of acidifying compounds. In this paper the critical loads of S and N for lakes in Finland are computed and mapped, based on methods presented in an accompanying paper. The employed steady-state mass balance model allows the simultaneous evaluation of the reductions required of S and N deposition exceeding these critical loads. Special emphasis has been put on the presentation of the spatial variability and the uncertainty of the critical loads and their exceedances. The derived critical loads of S and N for lakes in Finland show a substantial spatial variability. The highest exceedance of critical loads is presently estimated in the south-east of the country, where up to 80% of the lakes show an exceedance of the critical loads of S. The evaluation of two emission scenarios shows that only “maximum feasible reductions” would be sufficient for protecting most Finnish lakes from the impacts of acidic deposition. The results of this study form a basis for setting national targets for emission reductions in Finland.     

Radiometric Field Measurements of Maize for estimating Soil and Plant Nitrogen

Conventional recommendations of nitrogen (N) fertiliser are based on composite soil samples. This may result in either underfertilisation or overfertilisation due to the neglected spatial variability. This paper shows a procedure to estimate in season plant and soil nitrogen by using remote sensing. The study was conducted on two experimental sites. The first experiment consisted of six non-replicated fertiliser plots. These data were used to develop the relationships between reflectance data and the plant and soil N. The second experiment had four plots with various N and water treatments on which the developed relationships were verified. Plant N, soil N and reflectance data from both nadir and 75° view angles were collected almost weekly. The nitrogen reflectance index was employed to estimate plant N. Regression analysis was used to develop relationships. Spatial variability was mapped in ArcView geographical information system. Regression analysis between reflectance data and plant N, and soil N and plant N showed good relationships at various stages. The nadir view tended to underestimate the plant and soil parameters, whereas the 75° view slightly overestimated. Geographic information system mapping of measured and estimated soil N showed an agreement except in locations where high N spots were encountered.     

Gas-bubble disease in three fish species inhabiting the heated discharge of a steam-electric station using hypolimnetic cooling water

White bass (Morone chrysops), bluegill (Lepomis macrochirus), and largemouth bass (Micropterus salmoides) inhabiting the heated discharge canal of Duke Power Company's Marshall Steam Station, Lake Norman, North Carolina, were examined for signs of gas-bubble disease (GBD) during the winters of 1982–1983 and 1983–1984. Peak percentages of these fish species with GBD occurred between late February and early May each year, corresponding with peaks in total gas saturation in the discharge water. Cooling and warming water temperatures, and thermal stratification of Lake Norman influenced saturation of dissolved gases in the hypolimnetic intake water of Marshall Steam Station, and directly affected the variability in total gas saturation in the discharge canal. Temperature change in the condenser cooling water and electricity output were unrelated to the within-year variability in total gas saturation and GBD. The use of hypolimnetic water for cooling at this station restricts the time to a few months that levels of total gas saturation are sufficient to induce GBD, but probably led to higher peaks in GBD than if epilimnetic water was used. Among years, levels of GBD in white bass, bluegill, and largemouth bass were higher when electrical demand and mean temperature changes of the condenser cooling water at Marshall Steam Station were higher. Higher incidences in GBD in these fishes also occurred during winters when intake water temperatures were coldest.     

玄武湖菹草种群空间格局分析及其环境效应

大型水生植物的分布格局与空间尺度有着密切关系,传统的分析方法只能分析一种尺度下的格局。引入点格局分析,以种群空间分布坐标点图为基础,分析各种尺度下的种群格局。运用点格局分析对玄武湖菹草种群的空间分布格局进行研究,并结合N、P等水质指标探讨其环境效应。结果表明,玄武湖菹草种群分布集群特征明显,且在尺度232-344m内聚集最为明显。从水质监测结果看,菹草种群有利于改善水体环境,无种群区的TN、TP和NO3-N浓度明显高于有种群区;溶解氧（DO）则表现为有种群区高于无种群区。菹草在空间分布上的明显规律性,会进一步导致水质参数的空间异质性。     

The fine scale variability of dissolved methane in surface peat cores

Peat forming wetlands are globally important sources of the greenhouse gas CH₄. The variability of flux recordings from peatlands is however considerable and the distribution of CH₄ below the water table poorly described. Surface peat (0-500 mm below the water table) is responsible for the bulk of emissions and a localised region of intense CH₄ concentration may exist within this region but the structure of peat and presence of gas bubbles make the determination of in situ gas distributions problematic. We report on the in situ distribution and concentrations of CH₄, CO₂ and O₂ in surface bog peat cores using Quadrupole Mass Spectrometry and relate this to peat physical structure. Replicate cores collected in spring and autumn from both hollows and hummocks are used (n = 10). CH₄ recorded in almost every profile was localised in intense peaks reaching concentrations up to 350 μM at depths where O₂ was absent. Each CH₄ peak had a coincident CO₂ peak with a minimum mean ratio of ∼20:1 (CO₂:CH₄) and we found more CH₄ beneath hollows than hummocks. In statistical comparisons CH₄ concentration and distribution differed significantly between profiles for each depth. We demonstrate that variability found within a single core is at least as great as that between cores collected across the bog. The distribution of CH₄ was negatively correlated with bulk density and in some cases the location of roots matched those of intense CH₄ concentration where bubbles had formed and been trapped. Our comparisons suggest variability in gas distribution is caused by a heterogenous peat structure that controls the movement of gas bubbles and contains localised hotspots of gas production. The small and fine root systems of vascular plants on the peatland surface may cause high levels of methanogenic activity in their vicinity and also represent a physical barrier capable of trapping CH₄ bubbles.     

Evaluation of the acetylene inhibition method for measuring denitrification in soilless plant culture systems

Denitrification measurements by means of the acetylene inhibition method require a continuous presence of acetylene to block the microbial reduction of N₂0 to N₂. To examine the effect of such steady exposures on the growth of plants, roots of cucumber and tomato seedlings were treated with different acetylene concentrations. Acetylene concentrations of ≥1 vol% in the gas phase, which were necessary for complete inhibition of N₂ formation, led to a significant retardation of root growth. This was partly due to trace amounts of ethylene contained in the acetylene gas which could not be removed with the usual prescrubbing through a sulfuric acid train. As a result of the growth impairment, oxygen consumption in the root zone decreased after 4 days of exposure. In order to avoid these side effects, the denitrification measurements in soilless cultures were performed on individual plants over a limited period of 2–3 days. The flow-through chamber method proved to be suitable for determining the gaseous N losses in a closed-loop system. It avoided greater air variations from the environmental conditions (substrate temperature, airflow and plant composition) and excluded errors in measurement caused by injury to roots and spatial variability of denitrification activity in the root medium. For exact estimation of the gaseous N losses, preceding 24-h acetylene fumigation was necessary. Subsequently at least three gas samples had to be taken throughout the day, because the N₂O+N₂ emissions were subject to a pronounced diurnal variability.