Tracking textural, mineralogical and geochemical signatures in soils developed from basalt-derived materials covered with loess sediments (SW Poland)

Waroszewski, Jarosław; Sprafke, Tobias; Kabała, Cezary; Kobierski, Mirosław; Kierczak, Jakub; Musztyfaga, Elżbieta; Loba, Aleksandra; Mazurek, Ryszard; Łabaz, Beata

doi:10.1016/j.geoderma.2018.11.008

Cited by 39 publications

(20 citation statements)

References 63 publications

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“…The concentrations of Pb, Zn, and Cd in barley were consistent with the results obtained by Eticha and Hymete [69], who reported that differences in metal contents in barley of different origins might be caused by differences in arable soil types, agrochemical treatment, and environmental pollution. The abovementioned results are in line with the observation that higher PHE concentrations in investigated cereals might be the consequence of the fact that Zn-Pb [70,71] and Cu [72,73] ores are present in the geological background of soils in southern Poland. Moreover, the contents of Pb and Cd reported in wheat and barley grains sampled in northern Poland [74], where non-ferrous geological deposits do not occur, were lower than those identified in this study.…”

Section: Discussionsupporting

confidence: 89%

Human Health Risk Assessment and Potentially Harmful Element Contents in the Cereals Cultivated on Agricultural Soils

Gruszecka‐Kosowska

2020

IJERPH

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Potentially harmful element (PHE) contents were investigated in six species of cereals in southern Poland, with human health risk implications assessed afterwards. The PHE contents belonged to the following ranges (mg/kg wet weight): As below the limit of detection (<LOD)–0.013, Cd <LOD–0.291, Co <LOD–0.012, Cu 0.002–11.0, Hg <LOD–0.080, Ni <LOD–8.40, Pb <LOD–12.0, Sb <LOD–0.430, Tl <LOD–0.160, and Zn 5.47–67.7. The Pb and Cd contents exceeded the maximum allowable concentration (MAC) values for wheat, oat, rye, and barley in the Śląskie region. The bioaccumulation coefficient (BA) for the total PHE content in the soil indicated that cereals had no potential of PHE accumulation. Regarding the statistical daily consumption of cereals, the PHE intake rates, expressed as a percentage of permissible maximum total daily intake (% PMTDI), were the following: As 0.0003, Cd 0.193, Co 0.0003, Cu 0.075, Hg 0.424, Ni 3.94, Pb 3.16, Sb 0.23, Tl 0.27, and Zn 0.44. The total non-carcinogenic risk values (HQ) exceeded the target risk value of 1 for wheat (HQ = 13.3) and rye (HQ = 3.44). For other cereals, the total non-carcinogenic risk values decreased in the following order: barley (HQ = 0.47) > oat (HQ = 0.38) > maize (HQ = 0.02). The total non-carcinogenic risk value of the statistical daily consumption of cereals was acceptable low (HQ = 0.58). The acceptable cancer risk (CR) level of 1.0 × 10−5 investigated only for As was not exceeded under any of the intake scenarios. Concerning the mean As content in cereals consumed daily in statistical amounts the CR value was equal to 5.1 × 10−8. The health risk value according to the Pb content in cereals using the margin of exposure (MOE) approach was equal to 1.27, indicating an acceptable low risk.

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Section: Discussionsupporting

confidence: 89%

Human Health Risk Assessment and Potentially Harmful Element Contents in the Cereals Cultivated on Agricultural Soils

Gruszecka‐Kosowska

2020

IJERPH

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“…The three soil parent material classes in the study area were grouped into two types based on permeability (Yang, 1993), which is closely associated with soil bulk density and soil texture (Cavalli, Reichert, Rodrigues, & Araújo, 2020; Waroszewski et al, 2019). Q4 grey alluvium and Q4 grey‐brown alluvium were defined as permeable parent material due to their much lower soil bulk density and higher sand content, while Q3 old alluvium was defined as impervious parent material because its soil bulk density and clay content were significantly higher than those of the other two parent material classes (Figure S1).…”

Section: Methodsmentioning

confidence: 99%

Depth‐dependent soil organic carbon dynamics of croplands across the Chengdu Plain of China from the 1980s to the 2010s

Dai

et al. 2020

Global Change Biology

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Agricultural soils have tremendous potential to sequester soil organic carbon (SOC) and mitigate global climate change. However, agricultural land use has a profound impact on SOC dynamics, and few studies have explored how agricultural land use combined with soil conditions affect SOC changes throughout the soil profile. Based on a paired soil resampling campaign in the 1980s and 2010s, this study investigated the SOC changes of the soil profile caused by agricultural land use and the correlations with parent material and topography across the Chengdu Plain of China. The results showed that the SOC content increased by 3.78 g C/kg in the topsoil (0–20 cm), but decreased in the 20–40 cm and 40–60 cm soil layers by 0.90 and 1.26 g C/kg respectively. SOC increases in topsoil were observed for all types of agricultural land. Afforestation on former agricultural land also caused SOC decreases in the 20–60 cm soil layers, while SOC decreases only occurred in the 40–60 cm soil layer for agricultural land using a traditional crop rotation (i.e. traditional rice–wheat/rapeseed rotation) and with rice–vegetable rotations converted from the traditional rotations. For each agricultural land use, SOC decreases in deep soils only occurred in high relief areas and in soils formed from Q4 (Quaternary Holocene) grey‐brown alluvium and Q4 grey alluvium that had a relatively low soil bulk density and clay content. The results indicated that SOC change caused by agricultural land use was depth dependent and that the effects of agricultural land use on soil profile SOC dynamics varied with soil characteristics and topography. Subsoil SOC decreases were more likely to occur in high relief areas and in soils with low soil bulk density and low clay content.

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“…soils with sandy topsoil and an abrupt textural difference at ≥50 cm from the soil surface, if eluvial tongues were present in the Bt horizon. At present, the texturally contrasted soils with stagnic properties are correlated with Planosols (irrespectively of the presence of tonguing) or with Retisols, if stagnic properties are weak (or absent) and tonguing is clearly developed (Komisarek and Sza³ata 2008;Koz³owski and Komisarek 2017;Musztyfaga and Kabala 2015;Waroszewski et al 2019). This complicated system of equivalents is due to splitting the soils with an argic horizon into several separate RSGs in WRB 2015.…”

Section: Classification Schemementioning

confidence: 97%

Polish Soil Classification, 6th edition – principles, classification scheme and correlations

Kabała

Charzyński

Chodorowski

et al. 2019

Soil Science Annual

Self Cite

121

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The sixth edition of the Polish Soil Classification (SGP6) aims to maintain soil classification in Poland as a modern scientific system that reflects current scientific knowledge, understanding of soil functions and the practical requirements of society. SGP6 continues the tradition of previous editions elaborated upon by the Soil Science Society of Poland in consistent application of quantitatively characterized diagnostic horizons, properties and materials; however, clearly referring to soil genesis. The present need to involve and name the soils created or naturally developed under increasing human impact has led to modernization of the soil definition. Thus, in SGP6, soil is defined as the surface part of the lithosphere or the accumulation of mineral and organic materials permanently connected to the lithosphere (through buildings or permanent constructions), coming from weathering or accumulation processes, originated naturally or anthropogenically, subject to transformation under the influence of soil-forming factors, and able to supply living organisms with water and nutrients. SGP6 distinguishes three hierarchical categories: soil order (nine in total), soil type (basic classification unit; 30 in total) and soil subtype (183 units derived from 62 unique definitions; listed hierarchically, separately in each soil type), supplemented by three non-hierarchical categories: soil variety (additional pedogenic or lithogenic features), soil genus (lithology/parent material) and soil species (soil texture). Non-hierarchical units have universal definitions that allow their application in various orders/types, if all defined requirements are met. The paper explains the principles, classification scheme and rules of SGP6, including the key to soil orders and types, explaining the relationships between diagnostic horizons, materials and properties distinguished in SGP6 and in the recent edition of WRB system as well as discussing the correlation of classification units between SGP6, WRB and Soil Taxonomy.

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Tracking textural, mineralogical and geochemical signatures in soils developed from basalt-derived materials covered with loess sediments (SW Poland)

Cited by 39 publications

References 63 publications

Human Health Risk Assessment and Potentially Harmful Element Contents in the Cereals Cultivated on Agricultural Soils

Human Health Risk Assessment and Potentially Harmful Element Contents in the Cereals Cultivated on Agricultural Soils

Depth‐dependent soil organic carbon dynamics of croplands across the Chengdu Plain of China from the 1980s to the 2010s

Polish Soil Classification, 6th edition – principles, classification scheme and correlations

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