An integration of soil parameters characterizing a Danish agricultural soil

Author(s):  
Anne Christine Krull Pedersen ◽  
Vibeke Ernstsen ◽  
Henrik Breuning-Madsen ◽  
Per L. Ambus

<p>The complexity and interplay of soil processes are still investigated extensively. Continuous focus on this field of research is important since soil properties such as nitrate reductive capacity has a great influence on groundwater quality. Here, we try to give insight into the dynamics of a vadose zone soil under agricultural management.</p><p>A field of study was selected in Darum in Southwestern Jutland, Denmark. The site is situated in an old periglacial terrain on meltwater-deposited sand. The field has been under maize (<em>Zea mays</em>) monoculture for the past 20 years. Prior to this period it had been kept with C3 plants only.  Soil sampling was accomplished in three replicates of 1.6 m.</p><p>The bulk soil samples were analyzed for total C and N, δ<sup>13</sup>C and δ<sup>15</sup>N. Dissolved organic matter (DOM) and NO<sub>3</sub><sup>-</sup> were recovered from cold-water extractions of the soil samples. Extractions were analyzed for their UV-Vis absorption spectra.</p><p>Incubation experiments were performed on bulk soil portions in order to assay the activity and isotopic imprint CO<sub>2</sub> respiration. The soil were also incubated under anoxic conditions with substrate amendments (KNO<sub>3</sub> and C additions). The resulting N<sub>2</sub>O releases were assigned to biologically driven nitrate reduction. Ultimately, principal component analyses (PCA) were carried out on the results.</p><p>The C and N concentrations were highest in the Ap horizon and decreased with soil depth. The respiratory and nitrate reductive capacity also declined with depth, but were evident in all of the analyzed soil depths. All individual depths responded statistically significant to substrate addition by increase in the N<sub>2</sub>O production.</p><p>The isotopic results showed that the main pool of maize-derived C were also found in the plough layer. However, the respiratory isotopic results evidenced the presence of C4 plant derived C throughout the soil profile, after 20 years of monoculture.</p><p>The UV-Vis absorption spectra gave insight into the quality of the DOM pools. The parameter E253/E203 is associated with functional groups on aromatic rings and increases with composting time. The soil had an overall increase in this parameter with depth. The integrated magnitude of distinct wavelengths (270-300 nm, 300-380 nm and 380-500 nm) is an index of protein-, fulvic-, and humic like substances. Surprisingly, no substantial discrepancies in the distribution between these pools was found with depth. However, the overall pattern was declining steeply with soil depth, emphasizing the importance of dilution when assessing DOM availability and quality.</p><p>The PCA could explain >55 % of the variance by the first principal component. The PCA showed that the C and N concentrations were positively correlated. Alongside were the ambient N<sub>2</sub>O activity to the indexes of protein-, fulvic and humic like substances. The inherent NO<sub>3</sub><sup>-</sup> concentration, the N<sub>2</sub>O activity (KNO<sub>3</sub> amended) and the respiratory CO<sub>2</sub> production were also positively correlated – however negatively correlated with the E253/E203 parameter. <br>Therefore, respiratory and nitrate reductive capacities of the Darum soil, depends notably on the presence of less degraded DOM, on the concentration of protein-, fulvic and humic like substances, and finally on the inherent soil NO<sub>3</sub><sup>-</sup> concentration.</p>

2020 ◽  
Vol 15 (3) ◽  
pp. 502-514
Author(s):  
Lingayya Raghavendra ◽  
Melally Giddegowda Venkatesha

To assess water and soil quality in the Western Ghats' coffee plantations, 66 water and 224 soil samples were collected at four locations for estimation 20 parameters in water and 16 parameters in soil samples. Principal component analysis as applied to a set of chemical data obtained by the laboratory analysis of water and soil. Study locations represented arabica coffee (Coffea arabica) plantations around 50 km2 from Chikkamagaluru town. PCA showed the interrelationship of water and soil parameters for four sampling locations. The clustering of sampling location results was due to the consequence and concentration of water and soil variables. The principal component bi-plot of phosphorous, conductivity, hardness, total dissolved solids, sulphate, magnesium, and alkalinity determined water quality factors. Heavy metals, nitrogen, and total phosphorous greatly influenced the quality of soil samples at different locations.


Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 518
Author(s):  
Diego Pizzeghello ◽  
Livio Bellin ◽  
Serenella Nardi ◽  
Ornella Francioso ◽  
Andrea Squartini ◽  
...  

To counteract the loss of organic matter of agricultural soils, the use of compost from green and woody residues is a promising strategy. In this study, an organic farm (NE Italy) was investigated to determine the effect of management practices on physical and chemical soil properties. The organic system received three years ago a single high dose (60 t ha−1) of a wood-based compost (WBC), and it was compared with a conventional farm that annually managed mineral plus manure fertilization. In both systems, soil samples from a vineyard and field-scale rotation were collected, together with soil samples from an area not cultivated and not treated neither with compost nor with fertilizers or manure (untreated = control). Soil samples were characterized for soil fertility parameters, extractable fractions of macro- and micronutrients with DTPA and Mehlich3, and their total content. WBC was physically, chemically, and biologically characterized. The results showed that WBC fulfilled the requirements prescribed by Italian legislation, and the absence of phytotoxicity and conversely a stimulating activity towards root development was evidenced. From the DNA metabarcoding of the bacterial community, WBC revealed several peculiarities, including the dominance of taxa such as the order Acidimicrobiales, the families Anerolineaceae, Cytophagaceae, Caldimicrobiacese, Saprospiraceae and the archaeon Candidatus Nitrososphaera. Concerning the fertility of soils, the addition of WBC in both the vineyard and field-scale considerably affected some important soil parameters compared to those of conventional fertilization and untreated soil. Among these, WBC strongly increased the organic C content and the amount of the available P. In addition, the concentrations of macro- and micronutrients extractable by DTPA were generally higher with WBC than conventional fertilization. On the contrary, Mehlich3 extractable metals and total metals content were not affected by fertilization. The principal component analysis indicated that organic C, macronutrients (CaDTPA, KDTPA, and POlsen), as well as micronutrients (BDTPA, FeDTPA, and MoDTPA) are principal factors that properly separated conventional fertilization from organic fertilization. Beside this, within the same management, cases by agroecosystem were also well revealed by cluster analysis. In essence, in the short-term, the organic system led to a significant improvement in organic C and plant-available nutrients over the conventional system.


2020 ◽  
pp. 8-27
Author(s):  
Godswill Azinwie Asongwe ◽  
Bernard P. K. Yerima ◽  
Aaron Suh Tening ◽  
Irene Bongsiysi Bame

Fluvisols in urban wetlands in Bamenda Municipality Cameroon play a vital role in vegetable production but they are under immense pressure. Seven representative soil profiles and 21 surface soil samples were morphologically and/or physico-chemically characterized to classify the soils, evaluate their agro-utilization constraints, and to provide adequate data for planning sustainable land management. The soil samples were analyzed using standard procedures. Critical levels established for tropical crops and vegetables were used to declare deficiency of soil nutrients. The coefficient of variation were used as an index of soil variability, while sources of soil variation and subsequent grouping into management units were identified using principal component analysis. The soils, classified as Humi-umbric fluvisols are developed from young alluvio-colluvial material of granitic origin. Like other physico-chemical properties, organic matter varied irregularly down the profile. Except of pH which was slightly (CV<15%) variable, most soil properties were moderately (CV=15-35%) to highly (CV>35%) variable. Some correlation coefficients between the soil parameters were highly significant (p<0.01) ranging - 0.95 to 0.99, but most of them have correlation values less than 0.5. Six principal components (PCs) grouping soils in management units explained 96.2% of the variations observed in the soil properties. The PCs were: base status, organic matter, weathering and moisture retention, acidity, dispersal and N-mineralization, and mineral neo-synthesis factors. We recommend that a detailed mapping of soil properties be carried out for the establishment of a soil fertility map; and individual soil management practices defined for identified units instead of a common management for all units in the municipality.


Author(s):  
J. M. Paque ◽  
R. Browning ◽  
P. L. King ◽  
P. Pianetta

Geological samples typically contain many minerals (phases) with multiple element compositions. A complete analytical description should give the number of phases present, the volume occupied by each phase in the bulk sample, the average and range of composition of each phase, and the bulk composition of the sample. A practical approach to providing such a complete description is from quantitative analysis of multi-elemental x-ray images.With the advances in recent years in the speed and storage capabilities of laboratory computers, large quantities of data can be efficiently manipulated. Commercial software and hardware presently available allow simultaneous collection of multiple x-ray images from a sample (up to 16 for the Kevex Delta system). Thus, high resolution x-ray images of the majority of the detectable elements in a sample can be collected. The use of statistical techniques, including principal component analysis (PCA), can provide insight into mineral phase composition and the distribution of minerals within a sample.


2014 ◽  
Vol 32 (3) ◽  
pp. 507-513
Author(s):  
R.O. Adereti ◽  
F.O Takim ◽  
Y.A. Abayomi

An experiment was laid down in a screen house to determine the distribution of weed seeds at different soil depths and periods of cultivation of sugarcane in Ilorin, Nigeria. Soil samples from different depth levels (0-10 cm, 11-20 cm and 21-30 cm) were collected after harvesting of canes from three different land use fields (continuous sugarcane cultivation for > 20 years, continuous sugarcane cultivation for < 10 years after long fallow period and continuous sugarcane cultivation for < 5 years after long fallow period) in November, 2012. One kilogram of the sieved composite soil samples was arranged in the screen house and watered at alternate days. Germinating weed seedlings were identified, counted and then pulled out for the period of 8 months. Land use and soil depth had a highly significant (p £ 0.05) effect on the total number of weeds that emerged from the soil samples. The 010 cm of the soil depth had the highest weed seedlings that emerged. There was an equal weed seed distribution at the 11-20 cm and 21-30 cm depths of the soil. Sugarcane fields which have been continuously cultivated for a long period of time with highly disturbing soil tillage practices tend to have larger seed banks in deeper soil layers (11-20 cm and 21-30 cm) while recently opened fields had significantly larger seed banks at the 0-10 cm soil sampling depth.


Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 738
Author(s):  
Nicola Rossi ◽  
Mario Bačić ◽  
Meho Saša Kovačević ◽  
Lovorka Librić

The design code Eurocode 7 relies on semi-probabilistic calculation procedures, through utilization of the soil parameters obtained by in situ and laboratory tests, or by the means of transformation models. To reach a prescribed safety margin, the inherent soil parameter variability is accounted for through the application of partial factors to either soil parameters directly or to the resistance. However, considering several sources of geotechnical uncertainty, including the inherent soil variability, measurement error and transformation uncertainty, full probabilistic analyses should be implemented to directly consider the site-specific variability. This paper presents the procedure of developing fragility curves for levee slope stability and piping as failure mechanisms that lead to larger breaches, where a direct influence of the flood event intensity on the probability of failure is calculated. A range of fragility curve sets is presented, considering the variability of levee material properties and varying durations of the flood event, thus providing crucial insight into the vulnerability of the levee exposed to rising water levels. The procedure is applied to the River Drava levee, a site which has shown a continuous trend of increased water levels in recent years.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wumei Xu ◽  
Fengyun Wu ◽  
Haoji Wang ◽  
Linyan Zhao ◽  
Xue Liu ◽  
...  

AbstractNegative plant-soil feedbacks lead to the poor growth of Panax notoginseng (Sanqi), a well-known herb in Asia and has been used worldwide, under continuous cropping. However, the key soil parameters causing the replant problem are still unclear. Here we conducted a field experiment after 5-year continuous cropping. Sanqi seedlings were cultivated in 7 plots (1.5 m × 2 m), which were randomly assigned along a survival gradient. In total, 13 important soil parameters were measured to understand their relationship with Sanqi’s survival. Pearson correlation analysis showed that 6 soil parameters, including phosphatase, urease, cellulase, bacteria/fungi ratio, available N, and pH, were all correlated with Sanqi’s survival rate (P < 0.05). Principal component analysis (PCA) indicated that they explained 61% of the variances based on the first component, with soil pH being closely correlated with other parameters affecting Sanqi’s survival. The optimum pH for Sanqi growth is about 6.5, but the mean soil pH in the study area is 5.27 (4.86–5.68), therefore it is possible to ameliorate the poor growth of Sanqi by increasing soil pH. This study may also help to reduce the replant problem of other crops under continuous cropping since it is widespread in agricultural production.


2012 ◽  
Vol 42 (11) ◽  
pp. 1953-1964 ◽  
Author(s):  
Irene Fernandez ◽  
Juan Gabriel Álvarez-González ◽  
Beatríz Carrasco ◽  
Ana Daría Ruíz-González ◽  
Ana Cabaneiro

Forest ecosystems can act as C sinks, thus absorbing a high percentage of atmospheric CO2. Appropriate silvicultural regimes can therefore be applied as useful tools in climate change mitigation strategies. The present study analyzed the temporal changes in the effects of thinning on soil organic matter (SOM) dynamics and on soil CO2 emissions in radiata pine ( Pinus radiata D. Don) forests. Soil C effluxes were monitored over a period of 2 years in thinned and unthinned plots. In addition, soil samples from the plots were analyzed by solid-state 13C-NMR to determine the post-thinning SOM composition and fresh soil samples were incubated under laboratory conditions to determine their biodegradability. The results indicate that the potential soil C mineralization largely depends on the proportion of alkyl-C and N-alkyl-C functional groups in the SOM and on the microbial accessibility of the recalcitrant organic pool. Soil CO2 effluxes varied widely between seasons and increased exponentially with soil heating. Thinning led to decreased soil respiration and attenuation of the seasonal fluctuations. These effects were observed for up to 20 months after thinning, although they disappeared thereafter. Thus, moderate thinning caused enduring changes to the SOM composition and appeared to have temporary effects on the C storage capacity of forest soils, which is a critical aspect under the current climatic change scenario.


2019 ◽  
Vol 73 (5) ◽  
pp. 565-573 ◽  
Author(s):  
Yun Zhao ◽  
Mahamed Lamine Guindo ◽  
Xing Xu ◽  
Miao Sun ◽  
Jiyu Peng ◽  
...  

In this study, a method based on laser-induced breakdown spectroscopy (LIBS) was developed to detect soil contaminated with Pb. Different levels of Pb were added to soil samples in which tobacco was planted over a period of two to four weeks. Principal component analysis and deep learning with a deep belief network (DBN) were implemented to classify the LIBS data. The robustness of the method was verified through a comparison with the results of a support vector machine and partial least squares discriminant analysis. A confusion matrix of the different algorithms shows that the DBN achieved satisfactory classification performance on all samples of contaminated soil. In terms of classification, the proposed method performed better on samples contaminated for four weeks than on those contaminated for two weeks. The results show that LIBS can be used with deep learning for the detection of heavy metals in soil.


2018 ◽  
Vol 42 (1) ◽  
pp. 11-23
Author(s):  
Mohammad Asadul Haque

The spatial variability of salt accumulation through the soil profile was studied at Latachapali union of Kalapara upazila, Patuakhali district, Bangladesh. The soil samples were collected from 30 locations covering six villages of the union: Kuakata, Malapara, Fashipara, Khajura, Mothaopara and Tajepara. Five locations were randomly selected from each village. From each location soil samples were collected from three soil depths at 0-2 cm, 2.1-4 cm and 4.1-6 cm. Electrical conductivity of top 0-2 cm soil depth was 20.49 dS/m, in 2.1-4 cm soil depth was 7.14 dS/m and in 4.1-6 cm soil depth 4.15 dS/m. The study soils were strongly acidic having pH value 4.73, 4.99 and 5.20 in 0-2, 2.1-4 and 4.1-6 cm soil depth, respectively. The highest of 8.8 Na:K ratio was found in 0-2 cm soil depth. The Na:K ratio gradually decreased with the increase of soil depth, having 6.59 in 2.1-4 cm and 5.42. in 4.1-6 cm soil depth. The results clearly reveal that the top soil is very much sensitive to salt stress. Based on the electrical conductivity and Na:K ratio the Fashipara, Kuakata and Tajepara village were found seriously affected by salinity.Journal of Bangladesh Academy of Sciences, Vol. 42, No. 1, 11-23, 2018


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