Direct contribution by soil arthropods to nutrient availability through body and faecal nutrient content

Summary The direct contribution made by soil arthropods to nutrient dynamics was investigated in pine forests that differed in soil nutrient status. Nutrient concentrations (K⁺, Ca²⁺, Mg²⁺, PO ₄ ^3– , N, C) in the most abundant species and groups of arthropods in two Pinus nigra forests were compared, and distinct differences were found among taxonomic groups. In the rank order: collembolans, oribatides, isopods, diplopods, Ca²⁺ and Mg²⁺ concentrations increased, while N and C concentrations decreased. The nutrient concentrations in individuals of the same species but originating from the different forests were similar, except for the isopod Philoscia muscorum. The total and available nutrient concentrations in food and faeces of the collembolan Tomocerus minor and the isopod Philoscia muscorum were compared. The isopod faeces contained relatively less K⁺ and Mg²⁺, and more Ca²⁺, PO ₄ ^3– , and greater N availability, compared with the food material. The collembolan faeces showed a higher availability of all nutrients measured. The N species appeared to be changed by collembolans; their faeces contained high NO ₃ ^– concentrations, while their food contained relatively high concentrations of NH ₄ ⁺ . These findings were examined in relation to their significance for ecosystem functioning. It was concluded that about 12% of the total K⁺, PO ₄ ^3– , N and 2% of the Ca²⁺ in the organic layer was found in the mesofauna. It was calculated that faeces production by the collembolans resulted in a 2.4 times higher NO ₃ ^– availability in the forest floor.     

The use of a water budget model and yield maps to characterize water availability in a landscape

Crop yield maps may contain substantial corollary information regarding the distribution of yield related soil properties across a landscape. One of these properties is water holding capacity (WHC). Since WHC is an important parameter for crop models and is also critical for crop yield, our objective was to determine if WHC could be estimated by matching simulated yield with yield map data. We collected soil cores for water retention measurements and recorded plant phenological stages from 60 plots on four transects over two growing seasons (1997 and 1998). Soil cores were also sampled on 40 other locations set out on a grid pattern. We utilized a simple water budget model that uses the relative transpiration ratio to calculate relative yield from available water in the soil profile. Rainfall, potential evapotranspiration and soil water holding capacity are input. An optimization program varies the WHC to produce a grain yield similar to the one from the yield map at a particular location. This analysis was carried out over several scales by averaging yields over 55 m×71 m, 27 m×35 m, and 11 m×14 m areas. Yield data from 2 years were used. Yields from the transects in both years were significantly related to measured WHC in the surface 0–10 cm of soil. The calculated stress indices from the water budget model and estimated available WHC calculated for the 1997 data were similar to those calculated for the 1998 data where data were aggregated in 27 by 35 m or larger blocks. The contour map of estimated WHC was similar to the map of measured WHC for some features though there were also some differences. Use of multiple years of yield data are required to give stable results for estimated water holding capacities.. This information could be used in a farm management plan by allowing a producer to classify a field into areas that are buffered against drought and areas more susceptible to drought.     

N2O emissions from different cropping systems and from aerated,nitrifying and denitrifying tanks of a municipal waste water treatment plant

Nitrous oxide emissions, nitrate, water-soluble carbon and biological O₂ demand (BOD₅) were quantified in different cropping systems fertilized with varying amounts of nitrogen (clayey loam, October 1991 to May 1992), in an aerated tank (March 1993 to March 1994), and in the nitrification-denitrification unit (March to July 1994) of a municipal waste water treatment plant. In addition, the N₂O present in the soil body at different depths was determined (February to July 1994). N₂O was emitted by all cropping systems (mean releases 0.13–0.35 mg N₂O m^-2 h^-1), and all the units of the domestic waste water treatment plant (aerated tank 0–6.2 mg N₂O m^-2 h^-1, nitrification tank 0–204,3 mg N₂O m^-2, h^-1, denitrifying unit 0–2.2 mg N₂O m^-2 h^-1). During the N₂O-sampling periods estimated amounts of 0.9, 1.5, 2.4 and 1.4 kg N₂O–N ha^-1, respectively, were released by the cropping systems. The aerated, nitrifying and denitrifying tanks of the municipal waste water treatment plant released mean amounts of 9.1, 71.6 and 1.8 g N₂O–N m^-2, respectively, during the sampling periods.The N₂O emission were significantly positively correlated with nitrate concentrations in the field plots which received no N fertilizer and with the nitrogen content of the aerated sludge tank that received almost exclusively N in the form of NH ₄ ⁺ . Available carbon, in contrast, was significantly negatively correlated with the N₂O emitted in the soil fertilized with 80 kg N ha^-1 year. The significant negative correlation between the emitted N₂O and the carbon to nitrate ratio indicates that the lower the carbon to nitrate ratio the higher the amount of N₂O released. Increasing N₂O emissions seem to occur at electron donorto-acceptor ratios (C_H2_O or BOD₅-to-nitrate ratios) below 50 in the cropping systems and below 1200–1400 in the waste water treatment plant. The trapped N₂O in the soil body down to a depth of 90 cm demonstrates that agricultural production systems seem to contain a considerable pool of N₂O which may be reduced to N₂ on its way to the atmosphere, which may be transported to other environments or which may be released at sometime in the future.Dedicated to Professor J.C.G. Ottow on the occasion of his 60th birthday     

铬污染归宿的同位素原位监测法

铬(Cr)污染的迁移和环境毒性主要取决于其化学形态。在环境中,如果移动性及毒性较大的Cr(Ⅵ)能被还原为移动性及毒性较小的Cr(Ⅲ),并且还原速率大于污染速率,那么对铬污染的自然生态修复治理是可行的。铬在氧化还原过程中,存在着同位素动力学分馏效应,致使同位素比率发生移动,移动的大小和反应进程有关,服从Reyleigh关系方程。因此,利用同位素测定可以确定Cr(Ⅵ)的归宿,用于铬(Cr)污染自然修复的监测。本文就环境铬污染自然生态修复中,应用同位素原位分析法进行监测的基本原理、分析过程及应用的可行性进行了阐述。     

中国测土施肥工作的进展和展望

近十多年来，我国在测土施肥方面的研究取得迅速发展，并已大面积推广应用。本文着重对土壤有效养分测定，分析结果的解释，以及施肥量的方法作了综合评述，同时对测土施肥工作存在的问题和今后的发展也进行了讨论。     

不同解磷菌群对油菜土壤养分与酶活性的影响

利用盆栽油菜的二因素完全随机区组设计,研究了北方石灰性土壤上施用不同解磷菌群对土壤速效养分及土壤磷酸酶、脲酶活性的影响。结果表明:不同解磷菌群施入不同P素水平土壤中,油菜整个生育期内都能不同程度地提高土壤速效养分和土壤酶活性;土壤磷酸酶活性则随P素水平增高而降低,即低P水平下磷酸酶活性较强;施用菌肥土壤磷酸酶活性高于不施用菌肥处理,施与不施菌肥处理间脲酶活性在苗期及低P水平下差异显著。     

土壤速效磷含量空问插值方法比较研究

采用土壤空间变异及其插值方法,对上海五四农场现代化农业园区水稻田60m×60m间隔采样,得到280个土壤有机质含量、速效磷、速效钾、全N、全P等采样数据,用逆距离加权、球面多项式、局部多项式、辐射基础函数、简单克立格、通用克立格、平常克立格(指数模型、球形模型、高斯模型、静态模型)等插值方法,对该区土壤速效磷含量的140采样点进行插值,得到各种插值的速效磷连续空间分布,将插值所得拟合值与同期测得的另140个采样点数据进行比较,则局部多项式插值、球面多项式和3种克立格插值方法效果较好,其中局部多项式插值方法效果最佳,平常克立格的静态模型、高斯模型和球形模型插值效果较佳。     

三价铬对肥育猪生长激素分泌及垂体mRNA表达的影响

将96头体质量约65 kg的杜长大三元杂交猪,按体质量相近、公母各半的原则随机分成4组,每组3个重复.试验猪1组设为对照,饲喂基础饲粮,其余3组为试验组,分别饲喂在基础饲粮基础上添加来源于氯化铬、吡啶羧酸铬,纳米铬的含200 μg/kg铬试验饲粮.试验猪充分饲喂,自由饮水,试验为期40 d.饲养试验结束前1 d,从每组中选择6头猪,间隔15 min颈静脉采血1次,连续3 h,制备血清用于生长激素动态分泌模式研究.饲养试验结束后,按体质量相近原则从每组中选择8头猪进行屠宰,测定背膘厚和背最长肌面积;并各采取3头猪的脑垂体,RT-PCR法测定生长激素mRNA水平.结果表明,饲粮中添加200μg/kg三价纳米铬使肥育猪日增重提高了6.31%(P<0.05),料重比降低了4.61%(P<0.05),背膘厚降低了24.32%(P<0.05),背最长肌面积提高了20.22%(P<0.05).生长激素动态模式分析结果显示,纳米铬组试验猪生长激素总体水平、最低值、峰值和峰持续时间分别提高了42.62%(P<0.05)、87.94%(P<0.05)、26.60%(P<0.05)和17.19%(P<0.05),吡啶羧酸铬组试验猪生长激素总体水平、峰值分别提高了36.58%(P<0.05)和27.18%(P<0.05).垂体生长激素基因RT-PCR分析结果显示,纳米铬组试验猪垂体生长激素mRNA水平提高了27.63%(P<0.05).研究结果提示,三价纳米铬可提高肥育猪垂体生长激素mRNA水平,促进机体生长激素分泌,从而促进生长和改善胴体特性.     

里下河农区主要土壤养分变化趋势分析??以江苏省宝应县为例

以宝应县2005年测土配方施肥数据为基础,结合1984年、1989年、1994年、2000年土壤普查数据,分析了宝应县土壤养分（有机质、有效P、速效K）变化趋势。结果发现：20年来,土壤有机质、有效P、速效K含量具有相似的变化规律,属典型的“V”型变化结构,即1984—1994年土壤有机质、速效K含量呈下降趋势,有效P含量呈稳定趋势;1994—2005年土壤有机质、有效P、速效K含量均呈上升趋势,且都达到或超过第二次土壤普查养分水平。且土壤有机质、有效P空间分布差异明显,速效K空间分布稳定。不同土壤类型的土壤有机质、有效P含量均呈上升趋势,速效K含量呈稳定趋势。土壤养分上升幅度大小为：有效P＞有机质＞速效K。