Desorption of native and added zinc from a range of New Zealand soils in relation to soil properties

Soil Research ◽  
1997 ◽  
Vol 35 (6) ◽  
pp. 1253 ◽  
Author(s):  
D. Singh ◽  
R. G. McLaren ◽  
K. C. Cameron
Keyword(s):  
Regression Analysis ◽  
Soil Properties ◽  
Exchange Capacity ◽  
Organic C ◽  
Soil Variables ◽  
Dominant Soil ◽  
Linear Regressions ◽  
Mn Oxides ◽  
Extractable Zn ◽  
Different Soils

Compared with zinc (Zn) sorption, there is very little information on the effect of soil properties on Zn desorption from soils. In this study, desorption of native and added Zn from 7 Canterbury (NZ) soils was determined using a technique involving repeated equilibration of soil in 0·01 M Ca(NO3)2. The concentrations and patterns of desorption of both native and added Zn varied between the different soils. Greater concentrations of native Zn were desorbed from surface soils than from subsoils, and greater concentrations of added Zn were desorbed from subsoils than from their corresponding surface horizons. Correlation analysis showed that cation exchange capacity (CEC) and organic carbon (C) were the dominant soil variables contributing towards sorption or desorption of Zn. However, simple linear regressions involving CEC or organic C explained only 48–62% of the total variation in Zn sorption or desorption from the different soils. Multiple regression analysis indicated that cumulative native Zn desorption (expressed as percentage of DTPA-extractable Zn) was strongly related to CEC and the content of Mn oxides, which in combination explained 80% of the variability between soils. Regression analysis also showed that CEC plus Mn oxides and pH explained 91% of the variability in Zn sorption between the soils; whereas for added Zn desorbed (%), CEC plus pH and crystalline Al oxides explained 93% of variability in added Zn desorption.

scholarly journals Relationship of soil properties to fractionation, bioavailability and mobility of lead and zinc in soil

2008 ◽  
Vol 53 (No. 5) ◽  
pp. 225-238 ◽  
Author(s):  
N. Finžgar ◽  
P. Tlustoš ◽  
D. Leštan
Keyword(s):  
Organic Matter ◽  
Regression Analysis ◽  
Soil Organic Matter ◽  
Soil Properties ◽  
Multiple Regression ◽  
Contaminated Soils ◽  
Organic Matter Content ◽  
Clay Content ◽  
Exchange Capacity ◽  
Matter Content

Sequential extractions, metal uptake by <i>Taraxacum officinale</i>, Ruby&rsquo;s physiologically based extraction test (PBET) and toxicity characteristic leaching procedure (TCLP), were used to assess the risk of Pb and Zn in contaminated soils, and to determine relationships among soil characteristics, heavy metals soil fractionation, bioavailability and leachability. Regression analysis using linear and 2nd order polynomial models indicated relationships between Pb and Zn contamination and soil properties, although of small significance (<i>P</i> < 0.05). Statistically highly significant correlations (<i>P</i> < 0.001) were obtained using multiple regression analysis. A correlation between soil cation exchange capacity (CEC) and soil organic matter and clay content was expected. The proportion of Pb in the PBET intestinal phase correlated with total soil Pb and Pb bound to soil oxides and the organic matter fraction. The leachable Pb, extracted with TCLP, correlated with the Pb bound to carbonates and soil organic matter content (<i>R</i><sup>2</sup> = 69%). No highly significant correlations (<i>P</i> < 0.001) for Zn with soil properties or Zn fractionation were obtained using multiple regression.

scholarly journals Field Proximal Soil Sensor Fusion for Improving High-Resolution Soil Property Maps

Soil Systems ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 52
Author(s):  
Gustavo M. Vasques ◽  
Hugo M. Rodrigues ◽  
Maurício R. Coelho ◽  
Jesus F. M. Baca ◽  
Ricardo O. Dart ◽  
...  
Keyword(s):  
Soil Properties ◽  
Ordinary Kriging ◽  
Soil Property ◽  
Clay Content ◽  
Exchange Capacity ◽  
Organic C ◽  
Covariate Data ◽  
Independent Validation ◽  
Soil Sensors ◽  
Dense Grid

Mapping soil properties, using geostatistical methods in support of precision agriculture and related activities, requires a large number of samples. To reduce soil sampling and measurement time and cost, a combination of field proximal soil sensors was used to predict and map laboratory-measured soil properties in a 3.4-ha pasture field in southeastern Brazil. Sensor soil properties were measured in situ on a 10 × 10-m dense grid (377 samples) using apparent electrical conductivity meters, apparent magnetic susceptibility meter, gamma-ray spectrometer, water content reflectometer, cone penetrometer, and portable X-ray fluorescence spectrometer (pXRF). Soil samples were collected on a 20 × 20-m thin grid (105 samples) and analyzed in the laboratory for organic C, sum of bases, cation exchange capacity, clay content, soil volumetric moisture, and bulk density. Another 25 samples collected throughout the area were also analyzed for the same soil properties and used for independent validation of models and maps. To test whether the combination of sensors enhances soil property predictions, stepwise multiple linear regression (MLR) models of the laboratory soil properties were derived using individual sensor covariate data versus combined sensor data—except for the pXRF data, which were evaluated separately. Then, to test whether a denser grid sample boosted by sensor-based soil property predictions enhances soil property maps, ordinary kriging of the laboratory-measured soil properties from the thin grid was compared to ordinary kriging of the sensor-based predictions from the dense grid, and ordinary cokriging of the laboratory properties aided by sensor covariate data. The combination of multiple soil sensors improved the MLR predictions for all soil properties relative to single sensors. The pXRF data produced the best MLR predictions for organic C content, clay content, and bulk density, standing out as the best single sensor for soil property prediction, whereas the other sensors combined outperformed the pXRF sensor for the sum of bases, cation exchange capacity, and soil volumetric moisture, based on independent validation. Ordinary kriging of sensor-based predictions outperformed the other interpolation approaches for all soil properties, except organic C content, based on validation results. Thus, combining soil sensors, and using sensor-based soil property predictions to increase the sample size and spatial coverage, leads to more detailed and accurate soil property maps.

scholarly journals Earthworm Community In Relation To Soil Properties And Metals In Hebei Province, North China

2021 ◽  
Author(s):  
Yue Yin ◽  
Kun Wang ◽  
Miaomiao Chen ◽  
Xiaoquan Mu ◽  
Bo Li ◽  
...  
Keyword(s):  
Soil Properties ◽  
Cation Exchange Capacity ◽  
North China ◽  
Exchange Capacity ◽  
Hebei Province ◽  
Species Dominance ◽  
Soil Variables ◽  
High Metal ◽  
Key Variables ◽  
Total Potassium

Abstract In this study, we examined the influence of soil properties (pH, total potassium (TK), available potassium (AK), total nitrogen (TN), total phosphorus (TP), available potassium (AP), cation exchange capacity (CEC), and soil organic carbon (SOC)), and metals (Cd, Pb, Cu, and Zn) on the density, diversity, and species composition of earthworms in the Hebei Province, North China. In total, 535 earthworms were collected from 20 sites in the study area, and belonged to three families, six genera, and ten species. Amynthas hupeiensis (39.4%) and Drawida gisti (37.8%) were the dominant species. The correlations between soil variables and earthworm composition determined using redundancy analysis indicated that SOC, TK, and AK enhanced earthworm density (total, adult, and juvenile) and species (A. hupeiensis and D. gisti) abundances. Earthworm composition remained unaffected by the metals (Cd and Pb) in the uncontaminated sites; in contrast, species were absent in areas with high metal concentrations (S19 and S20). Soil TN content was negatively and positively related to Shannon and Peilou indexes (p<0.05), respectively, indicating that TN may be pivotal in influencing earthworm diversity and species evenness. Overall, the soil properties such as K, SOC, and TN were the key variables affecting earthworm density, diversity, and species dominance.

CATION EXCHANGE CAPACITIES AND SURFACE AREAS OF HUMIC GLEYSOLIC Ap HORIZONS FROM SOUTHWESTERN ONTARIO

1982 ◽  
Vol 62 (2) ◽  
pp. 291-296 ◽  
Author(s):  
L. J. EVANS
Keyword(s):  
Organic Matter ◽  
Regression Analysis ◽  
Cation Exchange ◽  
Multiple Regression Analysis ◽  
Surface Area ◽  
Cation Exchange Capacity ◽  
Exchange Capacity ◽  
Organic C ◽  
Surface Areas ◽  
A Value

Thirty-four samples from the Ap horizons of heavy-textured Orthic Humic Gleysols (Typic Haplaquolls) were sampled in southwestern Ontario. Surface areas of the soils ranged from 79–223 m2/g and multiple regression analysis indicated that the surface area of the clay fractions was 207 m2/g and that of the organic matter 805 m2/g. Approximately 74% of the variability in cation exchange capacity could be attributed to their clay and organic C contents at pH 4 and about 86% at pH 8. A value of 181 meq/100 g was calculated as the cation exchange capacity of organic matter at pH 4 and of 316 meq/100 g at pH 8. Mean cation exchange capacities at pH 4 were 20.3 meq/100 g and 31.6 meq/100 g at pH 8.

Soil Properties Influence Saflufenacil Phytotoxicity

Weed Science ◽  
2014 ◽  
Vol 62 (4) ◽  
pp. 657-663 ◽  
Author(s):  
Travis W. Gannon ◽  
Adam C. Hixson ◽  
Kyle E. Keller ◽  
Jerome B. Weber ◽  
Stevan Z. Knezevic ◽  
...  
Keyword(s):  
Organic Matter ◽  
Regression Analysis ◽  
Soil Properties ◽  
Texture Classification ◽  
Organic Matter Content ◽  
The United States ◽  
Exchange Capacity ◽  
Matter Content ◽  
Crop Tolerance ◽  
Wide Range

Saflufenacil, a pyrimidinedione herbicide, is used for contact and residual broadleaf weed control in various crops. Bioactivity of saflufenacil in soil was tested in greenhouse and laboratory studies on 29 soils representing a wide range of soil properties and geographic areas across the United States. A greenhouse bioassay method was developed using various concentrations of saflufenacil applied PPI to each soil. Whole canola plants were harvested 14 d after treatment, and fresh and dry weights were recorded. Nonlinear regression analysis was used to determine the effective saflufenacil doses for 50% (ED50,), 80% (ED80), and 90% (ED90) inhibition of total plant fresh weight. Bioactivity of saflufenacil in soil was strongly correlated to soil organic (R= 0.85) and humic matter (R= 0.81), and less correlated to cation exchange capacity (R= 0.49) and sand content (R= −0.32). Stepwise regression analysis indicated that organic matter was the major soil constituent controlling bioactivity in soil and could be used to predict the bioactivity of saflufenacil. Saflufenacil phytotoxicity was found to be dependent on soil property; therefore, efficacy and crop tolerance from PRE and PPI applications may vary based on soil organic matter content and texture classification.

Soil properties in organic olive orchards following different weed management in a rolling landscape of Andalusia, Spain

2012 ◽  
Vol 29 (1) ◽  
pp. 83-91 ◽  
Author(s):  
María-Auxiliadora Soriano ◽  
Sonia Álvarez ◽  
Blanca B. Landa ◽  
José A. Gómez
Keyword(s):  
Organic Carbon ◽  
Soil Properties ◽  
Weed Management ◽  
C:N Ratio ◽  
Principal Component ◽  
Soil Management ◽  
Exchange Capacity ◽  
Management Systems ◽  
Organic C ◽  
C And N

AbstractThis study evaluated the most significant physical, chemical and biological soil properties from a group of organic olive farms located in a typical olive-growing area of Andalusia, Spain, after 5 or more years since the shift from conventional to organic farming, and compared soils with those in nearby undisturbed (U) natural areas. Two soil management systems implemented in these organic olive farms to control weeds, tillage (T), characterized by non-inverting-shallow tillage in spring, and mechanical mowing (M), were compared and evaluated against the U areas. Organic olive orchards showed similar productivity (average fruit yield of 3130 kg ha−1 yr−1) as the conventional, rain-fed olive groves in the same area, with no significant differences due to soil management systems. Soil properties in the olive orchards (i.e. texture, pH, organic carbon (C), organic nitrogen (N), C:N ratio, cation exchange capacity (CEC) and exchangeable potassium) were in the suitable range for olive farming in both soil managements, although organic C and N, saturated hydraulic conductivity and available water-holding capacity (AWC) of the soil were lower than in the U areas. A principal component analysis (PCA) for soil properties in topsoil (0–10 cm depth) distinguished the T from M olive orchards and U areas, and determined organic C and N as the most significant soil properties to characterize them. Average values of soil organic carbon (SOC) stocks for the surface layer (0–10 cm depth) were 18.6, 59.3 and 67.8 Mg ha−1, for T and M soil management systems and U areas, respectively. This indicates that the sustainability of organic olive orchards could be significantly improved by shifting to M soil management to decrease soil erosion and depletion of SOC.

scholarly journals Recovery of soil microbiological properties in a degraded area planted with Corymbia citriodora and Leucaena leucocephala

2007 ◽  
Vol 64 (1) ◽  
pp. 68-72 ◽  
Author(s):  
Maria Alexandra Reis Valpassos ◽  
Kátia Luciene Maltoni ◽  
Ana Maria Rodrigues Cassiolato ◽  
Ely Nahas
Keyword(s):  
Atlantic Forest ◽  
Sampling Period ◽  
Bare Soil ◽  
Organic C ◽  
Soil Variables ◽  
Degraded Area ◽  
Soil Site ◽  
Corymbia Citriodora ◽  
Total Organic C ◽  
Different Soils

The influence of reforestation was evaluated during two season periods (February and October) in sites planted with Corymbia citriodora and Leucaena_leucocephala through microorganism counts (bacteria, fungi, actinomycetes, and nitrite oxidizers) and microbial activity (respiratory and urease activities). An Atlantic forest and a bare soil site were used as controls. The general trends of the variables in the different soils were: Atlantic forest or L. leucocephala > C. citriodora > bare soil. The microbial populations in L. leucocephala and C. citriodora soils were significantly higher (P < 0.05) than that found in the bare soil. Similar results were obtained for respiratory and urease activities. The microbiological variables of the soil under L. leucocephala were comparable or even superior to that found under Atlantic forest. An improvement in the microbiological soil variables was observed in the soil under C. citriodora when compared to the soil without vegetation. These results can be attributed to an increasing amount of total organic C of the soils under L. leucocephala and C. citriodora in relation to the soil without vegetation. Although most results obtained in February presented higher values than in October, the sampling period did not have a consistent controlling influence on these variables.

DISTRIBUTION OF ZINC FRACTIONS IN PRAIRIE SOILS

1990 ◽  
Vol 70 (3) ◽  
pp. 335-342 ◽  
Author(s):  
J. LIANG ◽  
J. W. B. STEWART ◽  
R. E. KARAMANOS
Keyword(s):  
Organic Matter ◽  
Clay Content ◽  
Exchange Capacity ◽  
Sequential Fractionation ◽  
Prairie Soils ◽  
Zinc Fractions ◽  
Extractable P ◽  
Soil Zn ◽  
Mn Oxides ◽  
Extractable Zn

The distribution of Zn in soil fractions was determined for 27 representative prairie soils from Saskatchewan. Total Zn in the 27 soils under study ranged from 19.0 to 106.6 μg g−1 with an average of 62.0 μg g−1. A sequential fractionation showed that 0.2–2.4% of total Zn was exchangeable, 0.4–8.1% was Pb-displaceable, 0.4–4.3% was acid soluble, 1.6–9.7% was associated with Mn oxides, 0.6–4.4% was associated with organic matter and 0.9–5.1% was associated with Fe + Al oxides. Most of the total Zn was present in residual form (66.9–91.0%). Amounts of Zn in exchangeable and Pb-displaceable fractions varied inversely with soil pH and extractable P. DTPA-extractable Zn was correlated with Zn in most of the fractions, except Fe oxide-Zn, residual-Zn and total Zn. This result indicates that DTPA extractable-Zn contains Zn from Mn oxides and organic matter associations in addition to the exchangeable and adsorbed forms. The amount of total Zn was correlated with clay content and cation exchange capacity thus reflecting differences in parent materials. Key words: Soil Zn, Zn fractions, Prairie soils, pH, clay content

Corrigendum to: Conservation agriculture effects on soil properties and crop productivity in a semiarid region of India

Soil Research ◽  
2019 ◽  
Vol 57 (2) ◽  
pp. 200 ◽  
Author(s):  
J. Somasundaram ◽  
M. Salikram ◽  
N. K. Sinha ◽  
M. Mohanty ◽  
R. S. Chaudhary ◽  
...  
Keyword(s):  
Soil Properties ◽  
Management Practices ◽  
Crop Yields ◽  
Cropping Systems ◽  
Soil Layer ◽  
Conservation Agriculture ◽  
Semiarid Region ◽  
Reduced Tillage ◽  
Organic C ◽  
Residue Retention

Conservation agriculture (CA) including reduced or no-tillage and crop residue retention, is known to be a self–sustainable system as well as an alternative to residue burning. The present study evaluated the effect of reduced tillage coupled with residue retention under different cropping systems on soil properties and crop yields in a Vertisol of a semiarid region of central India. Two tillage systems – conventional tillage (CT) with residue removed, and reduced tillage (RT) with residue retained – and six major cropping systems of this region were examined after 3 years of experimentation. Results demonstrated that soil moisture content, mean weight diameter, percent water stable aggregates (&gt;0.25mm) for the 0–15cm soil layer were significantly (Pmoderately labile&gt;less labile. At the 0–15cm depth, the contributions of moderately labile, less labile and non-labile C fractions to total organic C were 39.3%, 10.3% and 50.4% respectively in RT and corresponding values for CT were 38.9%, 11.7% and 49.4%. Significant differences in different C fractions were observed between RT and CT. Soil microbial biomass C concentration was significantly higher in RT than CT at 0–15cm depth. The maize–chickpea cropping system had significantly (P–1 followed by soybean+pigeon pea (2:1) intercropping (3.50 t ha–1) and soybean–wheat cropping systems (2.97 t ha–1). Thus, CA practices could be sustainable management practices for improving soil health and crop yields of rainfed Vertisols in these semiarid regions.

Characterization of basaltic clay soils (vertisols) from the Oxford land system in central Queensland

Soil Research ◽  
1990 ◽  
Vol 28 (6) ◽  
pp. 841 ◽  
Author(s):  
AA Webb ◽  
AJ Dowling
Keyword(s):  
Clay Soils ◽  
Total N ◽  
Organic C ◽  
Land System ◽  
Group Position ◽  
Dominant Soil ◽  
Extractable P ◽  
General Decline ◽  
Close Proximity ◽  
Native Pasture

Morphological, chemical and physical properties of basaltic clay soils (Vertisols-Usterts and Torrerts) from the Oxford Land System in central Queensland are described and compared over their geographical range of occurrence and also their position in the landscape. These soils are derived from undifferentiated basic lavas and interbedded pyroclastics of Tertiary age. Black earths are the dominant soil group. Position on slope had the biggest influence on depth of soil, with crest and mid-upper slope positions having more shallow (<0.9 m) soils than mid-lower and footslope positions. Soils have very high CEC and clay contents throughout the profile, are mildly alkaline at the surface and strongly so at depth, are non-saline and non-sodic (except in some footslope positions), and have an exchange complex dominated by calcium and magnesium. In the surface 0.1 m, extractable P and Zn, and total N and S levels are low and crop responses to fertilizer are probable. In comparison of 26 paired sites, where areas of native pasture and cultivation occur in close proximity, cultivated soils have lower organic C and total N, P, K and S levels than native pasture soils. This reflects a general decline in soil fertility under cultivation, and has implications for soil management and long-term soil stability.

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