Free iron oxide content in tropical soils predicted by integrative digital mapping

Mendes, Wanderson de Sousa; Demattê, José A. M.; Minasny, Budiman; Silvero, Nélida Elizabet Quiñonez; Bonfatti, Benito Roberto; Safanelli, José Lucas; Rizzo, Rodnei; Costa, Antônio Carlos Saraiva da

doi:10.1016/j.still.2022.105346

Cited by 7 publications

(9 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We found that the contents of soil clay in the Yellow River Estuary wetland ranged from 4.14 to 25.33% (Table 1), which were positively correlated with Fe T , Fe d and Fe p (Figure 5). Clay minerals can be wrapped by Fe/Al oxides to form stable aggregate structure to improve water retention capacity and physical quality of soil (AL-Shamare and Essa, 2021; Bai et al, 2021;Mendes et al, 2022). Moreover, clay minerals can also be combined with soil organic matter to form organic-inorganic complex, leading to a stronger immobility of iron (Zhang et al, 2001;Angst et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Spatial distribution of soil iron across different plant communities along a hydrological gradient in the Yellow River Estuary wetland

Sun

Qin

et al. 2022

Front. Ecol. Evol.

View full text Add to dashboard Cite

Iron is an important element and its biogeochemical processes are vital to the matter and energy cycles of wetland ecosystems. Hydrology greatly controls characteristics of soil property and plant community in wetlands, which can regulate the behavior of iron and its oxides. However, it remains unclear how the spatial distribution of iron and its forms in estuarine wetlands responses to hydrological conditions. Five typical plant communities along a naturally hydrological gradient in the Yellow River Estuary wetland, including Phragmites australis in freshwater marsh (FPA), Phragmites australis in salt marsh (SPA), Tamarix chinensis in salt marsh (TC), Suaeda salsa in salt marsh (SS) and Spartina alterniflora in salt marsh (SA), as sites to collect soil samples. The total iron (FeT) and three iron oxides (complexed iron, Fep; amorphous iron, Feo; free iron, Fed) in samples were determined to clarify the spatial distribution of iron and explore its impact factors. The mean contents of FeT, Fep, Feo and Fed were 28079.4, 152.0, 617.2 and 8285.3 mg⋅kg–1 of soil at 0–40 cm depth in the different sites, respectively. The means were significantly different across communities along the hydrological gradient, with the higher values for SA on the upper intertidal zone and for SPA on the lower intertidal zone, respectively. Iron and its forms were positively correlated with the total organic carbon (TOC), dissolved organic carbon (DOC), total nitrogen (TN) and clay, and negatively correlated with electrical conductivity (EC). The indexes of iron oxides (Fep/Fed, Feo/Fed and Fed/FeT) were also different across communities, with a higher value for SA, which were positively correlated with soil water content (WC) and TOC. The results indicate that a variety of plant community and soil property derived from the difference of hydrology might result in a spatial heterogeneity of iron in estuarine wetlands.

show abstract

Section: Discussionmentioning

confidence: 99%

Spatial distribution of soil iron across different plant communities along a hydrological gradient in the Yellow River Estuary wetland

Sun

Qin

et al. 2022

Front. Ecol. Evol.

View full text Add to dashboard Cite

show abstract

“…The content of total arsenic in soil will gradually increase with the decrease of elevation and slope and the content of heavy metals in soil will increase under a certain range of elevation and slope (Saidi et al, 2022). Iron oxide was formed by aging of soil iron crystals, and the content of iron oxide increased with the increase of soil depth (Mendes et al, 2022). Manganese oxide is mainly affected by soil pH, and the content of manganese oxide increases with the increase of pH.…”

Section: Introductionmentioning

confidence: 99%

“…Accurate extraction of iron oxide (Liu and Sun, 2019), water content (Cudahy et al, 2010), and heavy metal (Ding et al, 2022) has been achieved through the process of characteristic bands selection (Pessoa et al, 2016), building remote sensing reflectance index (Shi X.-Z. et al, 2014), establishing calculation model (Mendes et al, 2022), conducting band combination (Sellitto et al, 2009), content prediction (Li, 2020), etc. The reflectance variation of soil oxides can be obtained based on the combination of hyperspectral satellite and ground spectral data (Sahwan et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…The reflectivity of 350-570 nm band decreases, and the reflectivity of 570-2,500 nm band increases with the increase of iron oxide content (Xu et al, 2022). In terms of algorithm, both conventional regression algorithm (Lin et al, 2013;Steinberg et al, 2016;McLennan et al, 2017) and machine learning algorithm (Huang et al, 2021;Mendes et al, 2022;Saidi et al, 2022;Xu et al, 2022) have achieved good accuracy in soil oxide extraction. The response relationship between oxides and environment was explored in order to improve the applicability of spectral extraction of soil oxides.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Response of soil oxides in complex terrain region to environment revealed by hyperspectral observations

Zhang

Tang

et al. 2023

Front. Environ. Sci.

View full text Add to dashboard Cite

Soil oxides are important diagnostic indicators for soil quality assessment, and their content has a positive effect on adsorption of heavy metals, remediation of pollution, and enhancement of organic matter enrichment. Moreover, soil oxides are affected by multiple environmental factors such as soil pH, geomorphological, and elevation, and their distribution is highly regional. In this study, 421 ground soil samples and 2 hyperspectral satellite data were collected. The content distribution of 8 main oxides in soil, including SiO2, Al2O3, Fe2O3, MgO, CaO, Na2O, K2O, and Corg. were obtained according to the process of data preprocessing, spectral transformation, feature extraction, band combination, and model establishment. The results indicated that the homogenization spectral transformation method is the most suitable; The calculation accuracy of complex spectral characteristic parameters is inferior to that of characteristic bands; The difference model is more suitable for the extraction of soil oxide content in this study area; The average content of SiO2 and CaO shows a decreasing trend with the elevation increasing; The average content of SiO2 and Fe2O3 shows an upward trend with the increase of slope; East is the main geomorphic direction of soil oxide enrichment. SiO2, Al2O3, and MgO are the three soil oxides with the highest correlation. The response relationship between soil oxides, topography and pH is discussed, and the distribution rule of soil oxides and environmental determinants are obtained, which provides a set of technical schemes for digital soil research. This study can extract the content of soil components in a large area, analyze the causes, and provide a new technical scheme for soil investigation and treatment.

show abstract

“…This is due to the fact that laboratory methodologies are expensive, time consuming and have a high potential for environmental pollution (its quantification is performed by use of acid digestion with strong acids such as sulfuric acid), making difficult to obtain pedogenic oxides information for large areas, with high spatial resolutions (Silva et al, 2019). However, despite the great challenge of mapping the contents of these oxides, innovative techniques for digital soil mapping (DSM) can enable the construction of maps containing their contents with high spatial resolution and low levels of uncertainty, even with low sample densities (Mendes et al, 2022;Safanelli et al, 2021a).…”

Section: Introductionmentioning

confidence: 99%

Fine scale mapping of phosphorus stocks in brazilian soils by geotechnologies: implications for a sustainable agriculture

Rosas

View full text Add to dashboard Cite

show abstract

Free iron oxide content in tropical soils predicted by integrative digital mapping

Cited by 7 publications

References 70 publications

Spatial distribution of soil iron across different plant communities along a hydrological gradient in the Yellow River Estuary wetland

Spatial distribution of soil iron across different plant communities along a hydrological gradient in the Yellow River Estuary wetland

Response of soil oxides in complex terrain region to environment revealed by hyperspectral observations

Fine scale mapping of phosphorus stocks in brazilian soils by geotechnologies: implications for a sustainable agriculture

Contact Info

Product

Resources

About