A new approach to soil classification mapping based on the spatial distribution of soil properties

Silva, Alessandra Fagioli da; Pereira, Maria João Veloso da Costa Ramos; Carneiro, João; Zimback, Célia Regina Lopes; Landim, Paulo Milton Barbosa; Soares, Amílcar

doi:10.1016/j.geoderma.2013.12.011

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…Information about the presence of outlier values in the limits between soil mapping units are indications that the spatial continuity of soil attributes should be considered (Siqueira et al, 2015) and can assist in refining the limit of these units. However, more refined and robust approaches, such as geostatistical analysis, should be preferred to incorporate such information in soil maps (Silva et al, 2014). The estimates of parameters and models of variograms adjusted to the values of MS and clay content were similar (Fig.…”

Section: Resultsmentioning

confidence: 88%

Mapping units based on spatial uncertainty of magnetic susceptibility and clay content

Teixeira

Marques

Siqueira

et al. 2018

CATENA

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This study aimed to use spatial uncertainty of magnetic susceptibility (MS) and clay content to improve soilmapping units. In an experimental area of 870 ha, a regular sampling grid containing 371 points was set, in which MS and clay content were assessed at a depth range of 0-0.25 m. Using a digital elevation model and field observations, a 4440-m transect was established on the study area from hilltop to the foothill, toward the gentlest slope. Standard deviation maps based on 200 realizations of the sequential gaussian simulation measured spatial estimate uncertainties. To limit transition zones along the transect, uncertainty isolines representative of the transition between soil-mapping units were selected. Both attributes presented peaks of uncertainties near the change of mapping units, previously known. Uncertainty zones, previously delineated, ranged from 45 to 210 m and from 60 to 170 m, for MS and clay content, respectively. However, after extrapolating the uncertainties to the side of the transect, amplitude changes of the uncertainty zones were observed, especially in the transition regions between landscape shape and geology. Delineation of mapping units, which incorporated the uncertainties of MS and clay content, was similar. However, due to lower cost and promptness, MS becomes the most feasible alternative. Knowing spatial uncertainties enables readjusting limits in maps of soil-mapping units and may support identification of most favorable regions for determining modal pedon representative of each unit.

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Section: Resultsmentioning

confidence: 88%

Mapping units based on spatial uncertainty of magnetic susceptibility and clay content

Teixeira

Marques

Siqueira

et al. 2018

CATENA

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“…intensive sampling for capturing and understanding the spatial variability of properties and mapping units (Minasny and McBratney, 2007;Silva et al, 2014). However, the costs of such studies hamper their use in large areas (Demattê et al, 2007).…”

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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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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“…Soil quality is therefore determined by classifying soils by the major group [ 48 ]. Each soil classification implies several soil chemical properties, the level of soil development, and can reflect the level of soil fertility, as well as its potential for agricultural development [ 49 ] for both wet and dry lands. For example, Eutrudepts has a base saturation > 50%, whereas Dystrudepts has a base saturation < 50%, meaning that Eutrudepts soil has a higher fertility rate than Dystrudepts as it has higher exchangeable bases.…”

Section: Methodsmentioning

confidence: 99%

“…the level of soil fertility, as well as its potential for agricultural development [49] for both wet and dry lands. For example, Eutrudepts has a base saturation > 50%, whereas Dystrudepts has a base saturation < 50%, meaning that Eutrudepts soil has a higher fertility rate than Dystrudepts as it has higher exchangeable bases.…”

Section: Plos Onementioning

confidence: 99%

Analysing food farming vulnerability in Kalimantan, Indonesia: Determinant factors and adaptation measures

Estiningtyas,

Surmaini,

Suciantini

et al. 2024

PLoS ONE

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As a result of plans to relocate the Indonesian capital city to East Kalimantan province, Kalimantan is expected to develop rapidly and the surrounding regencies and provinces will become food support areas for the new capital. However, the vulnerability of food farming in Kalimantan is a concern that must be addressed to ensure food security. This study aims to assess the vulnerability of food farming at the regency level of the island of Kalimantan, to assess the determinant factors of the food farming vulnerability and to compose adaptation measures that can reduce vulnerability. Socio economic, climate, water and land data are sorted and analyzed to represent the level of sensitivity and exposure index (SEI) and adaptive capacity index (ACI). Locations with ‘High’ and ‘Very High’ levels of farming vulnerability become interview sites with a total of 150 respondents. The results of the interviews strengthen the results of the vulnerability analysis which helps to determine the condition of farmers and food farming in vulnerable locations. The results indicated ‘Very High’ and ‘High’ level of vulnerability in 14 regencies/cities. Floods are climate-related disasters that most often affect farmers surveyed (46%), followed by droughts (30%) and pest attacks (24%) with significant impacts (49%). The identification of the determinant factors becomes the basis for adaptive measures to support decision-makers, local practitioners, and farmers by highlighting local challenges and proposing local-specific adaptation strategies.

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A new approach to soil classification mapping based on the spatial distribution of soil properties

Cited by 6 publications

References 9 publications

Mapping units based on spatial uncertainty of magnetic susceptibility and clay content

Mapping units based on spatial uncertainty of magnetic susceptibility and clay content

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

Analysing food farming vulnerability in Kalimantan, Indonesia: Determinant factors and adaptation measures

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