Inorganic chemical investigations in the forest biosphere reserve near Kalinin,USSR

Lanthanides (rare-earth elements) were quantitatively determined by atomic emission spectrometry/inductively coupled plasma (AES/ICP) in various plants (Picea abies, Vaccinium vitis-idaea, Vaccinium myrtillus, Polytrichum commune, Sphagnum spec., and Hypogymna physodes) collected in the Forest Biosphere Reserve 350 km northwest of Moscow (USSR). Compared with previously established background values for lanthanide elements in central Europe, the rare elements determined in the USSR samples appear in lower concentrations. The lichen Hypogymna physodes can be characterized as an extreme accumulator of lanthanide elements up to a factor of ten compared to the other plant species collected in the Forest Biosphere Reserve. With regard to the lanthanide contents in plants collected in a German reference forest ecosystem, it can be seen, that the German samples represent without exception higher lanthanide values. Leaves of Vaccinium vitis-idaea display contents 3–4 times higher, leaves of Vaccinium myrtillus show concentrations higher by a factor of about 0.3, approximately twice the contents were determined in the German samples of Polytrichum formosum and P. commune, and the values in the German samples of the Sphagnum species are about 3 times that of the Soviet samples. As pointed out for pollution by heavy metals in part I of this series, the Forest Biosphere Reserve is generally characterized by lower contents of lanthanides in the vegetation cover than a comparable forest ecosystem (Grasmoor near Osnabrück, F.R.G.) in central Europe.     

Prediction of 137Cs behaviour in the soil-plant system in the territory of Semipalatinsk test site

A mathematical model of 137Cs behaviour in the soil-plant system is presented. The model has been parameterized for the area adjacent to the testing area Ground Zero of the Semipalatinsk Test Site. The model describes the main processes responsible for the changes in 137Cs content in the soil solution and, thereby, dynamics of the radionuclide uptake by vegetation. The results are taken from predictive and retrospective calculations that reflect the dynamics of 137Cs distribution by species in soil after nuclear explosions. The importance of factors governing 137Cs accumulation in plants within the STS area is assessed. The analysis of sensitivity of the output model variable to changes in its parameters revealed that the key soil properties significantly influence the results of prediction of 137Cs content in plants.     

Prediction of product formation as an aid to decision-making in pilot plant experiments on batch fermentations

A mathematical model for the prediction of product formation in batch processes is presented. The suggested procedure allows production of a prognose at any given moment of a run concerning the product concentration at any future moment of the same experiment. The series of subsequent prognoses thus produce a trend, and it is assumed that an analysis of the trend may provide information, which is useful in the evaluation of different decision alternatives in pilot plant batch experiments.     

鄂尔多斯草地退化过程中个体分布格局与土壤元素异质性

应用复合个体-距离法分析了鄂尔多斯草地退化过程中多种群和优势种个体分布格局,应用统计方法分析了土壤有机碳和氮元素的异质化过程。结果表明：在鄂尔多斯草地退化过程中,多种群和优势种个体分布格局大多表现出不同尺度下的随机分布和聚集分布,但多种群的个体分布格局在本氏针茅(Stipa bungeana) 油蒿(Artemisia ordosica)群落中出现均匀分布;优势种油蒿和牛心朴子(Cymanchum komarovii)在油蒿 牛心朴子群落中均出现了均匀分布。土壤元素在单一优势种群落中存在不同程度的异质性,油蒿群落中异质化程度最强;在共优势种本氏针茅 油蒿群落中,出现了土壤元素相对均质化,油蒿 牛心朴子群落中,异质化程度相对减弱。由于对土壤水分和养分的竞争,使共优势种群落出现植物的均匀分布,土壤元素相对均质化。土壤元素先后异质化过程首先表现为土壤有机质的异质化过程,然后才表现为土壤氮的异质化过程。土壤元素先后异质化过程表明异质化过程首先表现为植被异质化,植被的异质化导致土壤某些元素的异质化。     

Numerical Simulation of Plant–microbial Remediation for Petroleum-polluted Soil

This paper presents a numerical analysis of the migration and transformation mechanism of petroleum hydrocarbons (PHs) pollutants in soil. The mathematical model of the solute migration and plant–microbial remediation for PH polluted soil was established. The model was verified by field experimental data. Then, the software Hydrus-1D was employed to simulate the processes of diffusion, adsorption, desorption, microbial degradation, and plant adsorption of PHs in the soil–water system. The process of plant–microbial remediation for PH-contaminated soil was also simulated. The space-time change of PHs in soil was obtained, and the fate and remediation efficiency of PHs in soil were revealed in different remediation conditions. The results indicated that the Hydrus-1D model can adequately simulate the process of plant–microbial remediation. Plant–microbial remediation appears to be more efficient than the application of bacteria or Suaeda salsa. The majority of PH pollutants are degraded in the upper soil levels. For long-chain petro-alkane-contaminated soil, plant–microbial remediation is a more efficient method. A suitable moisture level in soil is important for improving the bioremediation effect of plant–microbial remediation technology.     

Three-Dimensional Mapping of Soil Chemical Characteristics at Micrometric Scale by Combining 2D SEM-EDX Data and 3D X-Ray CT Images

There is currently a significant need to improve our understanding of the factors that control a number of critical soil processes by integrating physical, chemical and biological measurements on soils at microscopic scales to help produce 3D maps of the related properties. Because of technological limitations, most chemical and biological measurements can be carried out only on exposed soil surfaces or 2-dimensional cuts through soil samples. Methods need to be developed to produce 3D maps of soil properties based on spatial sequences of 2D maps. In this general context, the objective of the research described here was to develop a method to generate 3D maps of soil chemical properties at the microscale by combining 2D SEM-EDX data with 3D X-ray computed tomography images. A statistical approach using the regression tree method and ordinary kriging applied to the residuals was developed and applied to predict the 3D spatial distribution of carbon, silicon, iron, and oxygen at the microscale. The spatial correlation between the X-ray grayscale intensities and the chemical maps made it possible to use a regression-tree model as an initial step to predict the 3D chemical composition. For chemical elements, e.g., iron, that are sparsely distributed in a soil sample, the regression-tree model provides a good prediction, explaining as much as 90% of the variability in some of the data. However, for chemical elements that are more homogenously distributed, such as carbon, silicon, or oxygen, the additional kriging of the regression tree residuals improved significantly the prediction with an increase in the R² value from 0.221 to 0.324 for carbon, 0.312 to 0.423 for silicon, and 0.218 to 0.374 for oxygen, respectively. The present research develops for the first time an integrated experimental and theoretical framework, which combines geostatistical methods with imaging techniques to unveil the 3-D chemical structure of soil at very fine scales. The methodology presented in this study can be easily adapted and applied to other types of data such as bacterial or fungal population densities for the 3D characterization of microbial distribution.     

Dynamics of seasonal plant growth in halophytic meadows taking into account the temperature factor and soil salinity level

A mathematical model has been constructed to describe the growth dynamics of various plant communities of halophytic meadows depending on the temperature factor and degree of soil salinity. Field investigation of the yields of halophytic meadow plant communities were performed in the coastal area of Kurinka Lake in the Altaiskii district of the Republic of Khakasia in 2004 and 2006. The results of field investigations and model studies show that there is a correlation between plant growth and air temperature for plant communities growing on soils with the lowest and medium salinity levels. It was proven in model studies that for the plant communities that grow on highly saline (3.58%) soils, not only air temperature but also the salinity level of the soil should be taken into account.     

Multivariate statistical analysis of nutrients and trace elements in plants and soil from northwestern Russia

Results are summarized of several field and greenhouse experiments designed to estimate differences in the ability of some plant species to take up from soil essential nutrients and various trace elements and transfer them from roots to upper plant parts. Instrumental neutron activation analysis was used to determine concentrations of 22 elements in plant and soil samples. Correlation and principal component analysis were applied for interpreting a large volume of experimental results. In many cases there was no statistically significant positive correlation between element concentrations in soil and concentrations of these elements in plants. Moreover, relationships between elements were often different in soil and in different plant parts, thereby suggesting quite different element behaviours in soil and in plants. Our experimental results and data published in the literature revealed that macro- and trace element concentrations might serve as a specific indicator of plant taxonomy, thus allowing for differentiation of the plants in accordance with concentrations of certain elements in roots or in leaves. Short-term variations in concentrations of elements typical for different plant species and factors affecting these variations indicated that diurnal dynamics of plant element concentrations were regular and species-specific.     

Direction change of plant root growth by the impenetrable boundary

Spatial boundary conditions must be considered when utilizing mathematical modeling of plant root growth in the container or along with the imbedding solid obstacle. Using basic root growth principles and the geometry of the boundary surface, a mathematical model can be designed to keep all root elements inside the container or outside the obstacle without passing through the boundary after the minimum deflection of growth direction, and it is based on the minimum friction between root tips and soil and energy saving principles. Such a mathematical method is used to simulate the spatial distribution of root growth and the morphological architecture of the root system near the boundary. The validity of this model is supported by experimental observations that confirm some typical characteristics predicted by the simulations. This model can be widely used in resolving boundary condition complications where water and nutrients are consumed by plants in a spatially limited or heterogeneous resource field.     

Heavy Metal Contamination of Soil,Plant and Air of Scrapyard of Discarded Vehicles at Zarqa City,Jordan

Ninety soil samples, forty plant samples (Anabasis articulata), and twenty air samples were collected from the scrap yard of discarded vehicles near Zarqa city, Jordan. These samples were analyzed for heavy metals: Cd, Pb, Zn, Cu, Mn, Al, and Fe. Longitudinal and vertical profiles of soil samples were studied. Generally, the levels of all heavy metals studied in the scrap yard area were found to be higher than those of the control samples. The levels of heavy metals decreased with depth until reaching a constant value at 9 cm depth. The levels of heavy metals also decreased at distances farther away from the scrap yard area. A significant difference in heavy metal concentrations was found between washed and unwashed plant samples. On the other hand, no significant differences have been found between plant samples from inside and outside the scrap yard area. Air samples showed wide variations in heavy metal levels among the sampling sites. The enrichment factors for non-crustal elements such as Pb, Cd, Cu, and Zn, in both soil and particulate matter, were found to be more than 10, indicating anthropogenic sources such as dust, rust, and exhaust emissions from the scrap yard area, whereas the crustal elements such as Fe and Mn showed enrichment factors of less than 10.     

Mathematical and Experimental Investigation of Water Migration in Plant Xylem

Plant can take water from soil up to several metres high.However,the mechanism of how water rises against gravity is still controversially discussed despite a few mechanisms have been proposed.Also,there still lacks of a critical transportation model because of the diversity and complex xylem structure of plants.This paper mainly focuses on the water transport process within xylem and a mathematical model is presented.With a simplified micro channel from xylem structure and the calculation using the model of water migration in xylem,this paper identified the relationship between various forces and water migration velocity.The velocity of water migration within the plant stem is considered as detail as possible using all major forces involved,and a full mathmetical model is proposed to calculate and predict the velocity of water migration in plants.Using details of a specific plant,the velocity of water migration in the plant can be calculated,and then compared to the experimental result from Magnetic Resonance Imaging (MRI).The two results match perfectly to each other,indicating the accuracy of the mathematical model,thus the mathematical model should have brighter future in further applications.     

Accumulation of local pathogens: a new hypothesis to explain exotic plant invasions

Recent studies have concluded that release from native soil pathogens may explain invasion of exotic plant species. However, release from soil enemies does not explain all plant invasions. The invasion of Ammophila arenaria (marram grass or European beach grass) in California provides an illustrative example for which the enemy release hypothesis has been refuted. To explore the possible role of plant–soil community interactions in this invasion, we developed a mathematical model. First, we analyzed the role of plant–soil community interactions in the succession of A. arenaria in its native range (north-western Europe). Then, we used our model to explore for California how alternative plant–soil community interactions may generate the same effect as if A. arenaria were released from soil enemies. This analysis was carried out by construction of a 'recovery plane' that discriminates between plant competition and plant–soil community interactions. Our model shows that in California, the accumulation of local pathogens by A. arenaria could result in exclusion of native plant species. Moreover, this mechanism could trigger the rate and spatial pattern of invasive spread generally observed in nature. We propose that our 'accumulation of local pathogens' hypothesis could serve as an alternative explanation for the enemy release hypothesis to be considered in further experimental studies on invasive plant species.     

Prediction of prostate cancer using hair trace element concentration and support vector machine method

A change in the normal concentration of essential trace elements in the human body might lead to major health disturbances. In this study, hair samples were collected from 115 human subject, including 55 healthy people and 60 patients with prostate cancer. The concentrations of 20 trace elements (TEs) in these samples were measured by inductively coupled plasma-mass spectrometry. A support vector machine was used to investigate the relationship between TEs and prostate cancer. It is found that, among the 20 TEs, 10 (Mg P, K, Ca, Cr, Mn, Fe. Cu, Zn, and Se) are related to the risk of prostate cancer. These 10 TEs were used to build the prediction model for prostate cancer. The model obtained can satisfactorily distinguish the healthy samples from the cancer samples. Furthermore, the cross-validation by leaving-one method proved that the prediction ability of this model reaches as high as 95.8%. It is practical to predict the risk of prostate cancer using this model in the clinics     

Prediction of biogas potentials using quick laboratory analyses: Upgrading previous models for application to heterogeneous organic matrices

This study presents an upgrading of the mathematical models to predict anaerobic biogasification potential (ABP) through quick laboratory analyses that have been presented in an earlier study. The aim is to widen the applicability of the models to heterogeneous organic substrates and to improve their reliability through a deeper statistical approach.Three multiple-step linear regressions were obtained using biomass oxygen demand in 20 h (OD₂₀) plus the volatile solids content (VS) of 23 new samples of heterogeneous organic matrices, of 46 samples presented in the earlier work and of the data set comprising all the 69 samples. The two variables chosen were found to be suitable for very heterogeneous materials. To judge the prediction quality, a validation procedure was performed with 12 new samples using model efficiency indexes. The proposed model had good prediction ability for a large variety of organic substrates, and allows the calculation of the ABP value within only 2-day’s laboratory work instead of the 60–90 days required to obtain ABP by anaerobic test.     

不同产地黄芩中无机元素含量及其与根际土壤无机元素的关系

药用植物中各无机元素含量的不仅影响药用植物的生长发育,也是药材有效成分的构成因子。通过对全国范围内16个不同产地(即居群)的92个野生黄芩(Scutellaria baicalensis Georgi)样本及其相应的根际土壤中10种无机元素含量的分析,发现不同产地黄芩及其根际土壤无机元素都有很大变异,且不同产地黄芩根际土壤中无机元素的变异远大于黄芩药材中无机元素的变异。总体来看,黄芩中Mg(9级)含量较其他植物含量高;P(1级)、K(2级)、Mn(3级)含量与其他植物相比处处较低水平;黄芩对Sr(富集系数达到3.52)有较强富集。并且通过无机元素分布曲线分析建立了无机元素指纹谱,主成分分析筛选出黄芩主要特征无机元素为Mg、K、Ca、Fe、Zn。本研究还表明,黄芩对各元素的吸收能力受产地的影响较大,提示黄芩对无机元素的吸收与各产地根际土壤无机元素有一定关联性。     

Functional consequences of nutrient translocation in mycelial fungi

Fungi are of fundamental importance for plant and microbial nutrition with primary roles in decomposition and nutrient recycling. They also have great potential for use in areas of biotechnology such as bioremediation of organic and inorganic pollutants and biocontrol of plant pathogens. In all these contexts, environmental heterogeneity has a strong influence on growth and function. A large class of fungi overcome the difficulties encountered in such environments by the mechanism of translocation which results in the internal redistribution of nutrients within the fungal mycelium. In this paper, we use a combination of experimental techniques and mathematical modelling to examine fungal growth in general, and in particular, translocation in the common soil saprophytic fungus Rhizoctonia solani. A detailed mathematical model is presented where translocation is considered to have both diffusive and metabolically-driven components. A calibration experiment provided the necessary parameter values. Growth experiments were compared with model solutions and thus we provide strong evidence that diffusion is the dominant mechanism for translocation in homogeneous environments. In heterogeneous environments, we conclude that diffusion is still vital for exploration, i.e. the expansion of the fungal network into the surrounding area. However, we also conclude that localized resources may be utilized faster if energy is invested, i.e. when exploitation of the fungal microenvironment is enhanced by metabolically driven translocation.     

A systematic approach to the simulation of short-term processes in the plant-environment complex

Abstract. A conceptual framework is presented for modelling short-term processes in the plant and its environment as an integrated system. Flows of water, water vapour, heat, momentum, CO₂, soluble carbohydrate and phosphorus are all described by equations of the same general type, i.e. in terms of diffusivity-type parameters, capacities and potential gradients. A representative volume of the crop is divided horizontally into layers and vertically between crop and environment for treatment by a finite-difference method. Vertical flow occurs in the atmosphere, soil, stems and larger roots, andilateral flow between leaves and air, and between finer roots and soil. The interception of direct sunlight and the flux densities of downward and upward diffuse radiation within layers are calculated by a step-wise procedure.
The conversions of materials within the plant are treated as functions of appropriate state variables. Schemes for carbon and phosphorus provide for flow to and from the translocation system, and for photosynthesis, respiration and growth.
A model of a fully-established lucerne crop is described and the sensitivity of model performance to changes in a number of parameter values explored. Simulation runs under varying conditions indicate realistic prediction of diurnal trends.     

Soil Contamination of Grass Biomass Hay: Measurements and Implications

A large area of unutilized or underutilized marginal land in the northeastern USA, some of which currently produce a mature hay crop for use as mulch, is potentially suitable for bioenergy crop production. Mature-mixed grass hay bales (n?=?1980) were sampled across New York in late summer and fall of 2011 and 2012 from 65 farms. Chemical analysis of 19 parameters, including gross calorific value, fiber, and elemental analyses, was conducted on the samples. In addition, 156 soil samples, representing 67 soil types, were analyzed for 12 to 14 parameters, using two different extraction procedures. Results indicate that hay composition is extremely variable among bales, and that much of the variation is due to soil contamination. Soil contamination reduced energy content of hay, a reduction best estimated from ash content of the hay. Standard plant analyses of contaminated hay samples determine total elemental content, but the same analyses only partially extract soil elements. A subset of samples showed that fiber analysis of soil-contaminated hay is problematic, with results impacted greatly by soil type and gravimetric filtration method. Aluminum, because of its low plant uptake potential, its high concentration in most soils, and its relatively moderate range in concentration across soil types compared to other soil elemental predictors, is the best indicator of soil contamination of biomass when the soil type is unknown. Evaluation of herbaceous plants for bioenergy parameters should include ash and Al analysis to assess soil contamination, which could significantly bias other compositional analyses.