Spatial variability of soil magnetic susceptibility, organic carbon and total nitrogen from farmland in northern China

PingguoYang,; Byrne, James M.; Yang, Miao

doi:10.1016/j.catena.2016.05.025

Cited by 46 publications

(15 citation statements)

References 27 publications

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“…In contrast, the lowest average value of range for BS (776 m) indicates its lower spatial continuity. Similar results were found by other authors (Marques et al, 2014;Yang et al, 2016), who observed a lower spatial continuity of chemical properties when compared to physical and mineralogical properties. The similarity between the range values of MS and clay content may be an indicative of a high spatial association between these properties (Peluco et al, 2013).…”

Section: Resultssupporting

confidence: 92%

“…Although CV value is an indicative of property variation, it does not include the existing spatial relationships between the analyzed samples. Geostatistical analyses, which are based on constructing and modeling the experimental variogram (Oliver and Webster, 2014), allow the spatial verification of interrelations between soil properties (Yang et al, 2016), as well as the spatial influence determination of stratifiers on estimates of unsampled locations (Goovaerts, 1997;Vasques et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

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Sample planning for quantifying and mapping magnetic susceptibility, clay content, and base saturation using auxiliary information

et al. 2017

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There is a great global demand for detailed soil property description; therefore, an ideal site-specific sampling has become indispensable to meet this demand. This study aimed to assess the implications of incorporating geological, geomorphological, and pedological information in reducing the required sampling density for magnetic susceptibility (MS), clay content (CC), and base saturation (BS) characterizations. The study area is located in Guatapará-SP (Brazil) and has 870 ha. A total of 371 samples were collected at a depth of 0-0.25 m for assessing magnetic susceptibility (MS), clay content, and base saturation (BS). A density of one sample was considered every 2.

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Section: Resultssupporting

confidence: 92%

Section: Resultsmentioning

confidence: 99%

Sample planning for quantifying and mapping magnetic susceptibility, clay content, and base saturation using auxiliary information

et al. 2017

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“…Our average C:N ratio is close to those (9.7–9.8) reported for the wheat-maize double cropping in Xuzhou, North China and the mono-cropping with maize-wheat-wheat of Urumqi, Northwest China, but slightly lower than those (10.2–10.8) reported for some other parts close to the North China Plain with a variety of cropping systems, e.g., the Yangze River Delta, East China (rice-wheat, rice-rape, wheat-maize cropping and so on), the Loess Plateau in North and Central China (mono-cropping with maize-wheat-wheat and other cropping systems) 18,34,35 . However, soil C:N ratio is considerably lower in our study than those in the black soil with maize cropping (12.3) in Songnen Plain (Northeast China) and red soil with wheat-maize cropping (11.3) in Qiyang (South China) 16,17 .…”

Section: Discussionmentioning

confidence: 59%

“…Based on our study and other studies that were conducted in the wheat-maize cropland of the North China Plain, SOC content (<10.5 g kg −1 ) in the topsoil is relatively low, but TN value (0.7–1.6 g kg −1 ) is not so low 11,12,34 . For example, SOC level in the alluvial loess of the North China Plain is lower than in the deposited loess of the Loess Plateau (11.3–11.5 g kg −1 ), but TN is higher relative to those (0.9–1.0 g kg −1 ) in the Loess Plateau 18,34 . Similarly, SOC is lower in the North China Plain relative to Northeast and South China (8.9–25.4 g kg −1 ) with high yields, but TN is comparable (1.0–1.2 g kg −1 for Northeast and South China) 16,17 .…”

Section: Discussionmentioning

confidence: 93%

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Characteristics of soil C:N ratio and δ13C in wheat-maize cropping system of the North China Plain and influences of the Yellow River

Shi

Wang

et al. 2017

Sci Rep

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To better understand the characteristics of soil organic matter (SOM) in the North China Plain, we evaluate the large scale variations of soil organic carbon (SOC), total nitrogen (TN), carbon to nitrogen (C:N) ratio and stable carbon isotopic compositions (δ13C) in SOC over 0–100 cm. To assess the influence of the Yellow River, 31 sites are selected from the wheat-maize double cropping system, and grouped into two: 10 sites near and 21 sites far from the river. Our data show that mean soil C:N ratio is low (7.6–9.9) across the region, and not affected by the Yellow River. However, SOC and TN are significantly (P < 0.05) lower in subsoil near the Yellow River (2.0 and 0.2–0.3 g kg−1 for SOC and TN) than far away (3.1 and 0.4 g kg−1); δ13C is significantly more negative below 60 cm near the river (−23.3 to −22.6‰) than far away (−21.8 to −21.4‰). We estimate that the contributions of wheat and maize to SOC are 61.3–68.1% and 31.9–38.8%, respectively. Our analyses indicate that the overall low levels of SOC in the North China Plain may be associated with the low soil C:N ratio and less clay content. The hydrological processes may also partly be responsible, particularly for those near the Yellow River.

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Magnetic susceptibility in the prediction of soil attributes in southern Brazil

Ramos

Inda

Barrón

et al. 2021

Soil Science Soc of Amer J

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Global demand for soil information has led to investigations that have adopted ways to estimate soil attributes quickly and effectively. In this context, magnetic susceptibility (χ) has gained prominence because it is a technique capable of estimating other attributes that are more difficult to acquire. This study aimed to (a) evaluate the performance of χ for the prediction of sand, silt, clay, hue, hematite/(hematite + goethite) ratio, Fe content of pedogenic iron oxides, and remaining phosphorus and (b) develop maps of χ, soil attributes and attributes predicted by χ in the state of Rio Grande do Sul (RS), Brazil. Here, 198 soil samples under forest and native pasture were used for testing the potential of χ as a predictive technique, separating the data into calibration (nc = 149) and validation sets (nv = 49). Linear regression was used to obtain the pedotransfer equations according to soil classes and lithology. To visualize the distribution of the values of χ and other soil attributes in RS, maps were made with the real values of χ and the real and estimated values of soil attributes. The great range of the χ values and related attributes was associated with the lithological and pedological influence, allowing the construction of predictive models that encompass a large gradient of χ. In the predictions made in groups, the attributes of Oxisols and Ultisols were best estimated by χ; however, among the lithology groups, the extrusive igneous rocks stood out.

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Spatial variability of soil magnetic susceptibility, organic carbon and total nitrogen from farmland in northern China

Cited by 46 publications

References 27 publications

Sample planning for quantifying and mapping magnetic susceptibility, clay content, and base saturation using auxiliary information

Sample planning for quantifying and mapping magnetic susceptibility, clay content, and base saturation using auxiliary information

Characteristics of soil C:N ratio and δ13C in wheat-maize cropping system of the North China Plain and influences of the Yellow River

Magnetic susceptibility in the prediction of soil attributes in southern Brazil

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