Modeling Soil–Landscape and Ecosystem Properties Using Terrain Attributes

Gessler, Paul E.; Chadwick, Oliver A.; Chamran, F.; Althouse, LynneDee; Holmes, Karen

doi:10.2136/sssaj2000.6462046x

Cited by 389 publications

(275 citation statements)

References 13 publications

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“…It is noticeable that the lower slope is the segment with highest intensity of water flow (Figure 1) and that in this segment the contour for most of the properties studied are perpendicular to the slope of the hill (Figure 2), revealing the variability of these properties. This isoline pattern on the map corroborate the results reported by GESSLER et al (2000) that the characteristic of the water flow determines different areas of erosion and deposition. It is observed that higher values of Ca, Mg, K, V% and clay content are recorded on the lower slope (flat shape) due to the direct action of water surface flow by depositing material on this slope.…”

Section: Resultssupporting

confidence: 90%

Terrain forms and spatial variability of soil properties in an area cultivatedwith citrus

et al. 2011

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ABSTRACT:The technique of precision agriculture and soil-landscape allows delimiting areas for localized management, allowing a localized application of agricultural inputs and thereby may contribute to preservation of natural resources. Therefore, the objective of this work was to characterize the spatial variability of chemical properties and clay content in the context of soillandscape relationship in a Latosol (Oxisol) under cultivation of citrus. Soil samples were collected at a depth of 0.0-0.2 m in an area of 83.5 ha planted with citrus, as a 50-m intervals grid, with 129 points in concave terrain and 206 points in flat terrain, totaling 335 points. Values for the variables that express the chemical characteristics and clay content of soil properties were analyzed with descriptive statistics and geostatistical modeling of semivariograms for making maps of kriging. The values of range and kriging maps indicated higher variability in the shape of concave topography (top segment) compared with the shape of flat topography (slope and hillside segments below). The identification of different forms of terrain proved to be efficient in understanding the spatial variability of chemical properties and clay content of soil under cultivation of citrus.KEYWORDS: geostatistics, management zone, oxisol, orange. FORMAS DO RELEVO E VARIABILIDADE ESPACIAL DE PROPRIEDADES DO SOLO EM ÁREA CULTIVADA COM CITROSRESUMO: A técnica de agricultura de precisão e a relação solo-paisagem permitem delimitar áreas para o manejo localizado, o que permite a aplicação localizada de insumos agrícolas e, consequentemente, pode contribuir para a preservação de recursos naturais. Portanto, o objetivo deste trabalho foi caracterizar a variabilidade espacial das propriedades químicas e do teor de argila, no contexto da relação solo-paisagem, em um Latossolo sob cultivo de citros. Amostras de solo foram coletadas na profundidade de 0,0-0,2 m, em uma área de 83,5 ha cultivada com citros, na forma de malha, com intervalos regulares de 50 m, com 129 pontos na forma de relevo côncava e 206 pontos na forma plana, totalizando 335 pontos. Os valores obtidos para as variáveis que expressam as propriedades químicas e para o teor de argila do solo foram submetidos à análise estatística descritiva e geoestatística com a modelagem de semivariogramas para a confecção de mapas de krigagem. Os valores de alcance e mapas de krigagem indicaram maiores variabilidades na forma de relevo côncava (segmento topo), quando comparada com a forma plana (segmentos meia encosta e encosta inferior). A identificação de diferentes formas de relevo mostrou-se eficiente no entendimento da variabilidade espacial das propriedades químicas e do teor de argila do solo sob cultivo de citros.PALAVRAS-CHAVE: geoestatística, zona de manejo, paisagem, latossolo, laranja. INTRODUÇÃO

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Section: Resultssupporting

confidence: 90%

Terrain forms and spatial variability of soil properties in an area cultivatedwith citrus

et al. 2011

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“…Lower values of soil organic matter were found under pasture areas, which is the predominant land use in this watershed. Water distribution in landscapes stricly controls soil carbon dynamics (Gessler et al, 2000), even though the floodplain did not show higher values of soil organic matter, which may be due to the very high vertical and lateral spatial variability of characteristics, typical of these lowland environments. Soil organic matter maps showed higher values in the convex summit.…”

Section: Prediction Mapsmentioning

confidence: 87%

“…Soil organic matter maps showed higher values in the convex summit. Gessler et al (2000) highlight the combination of higher weathering-leaching, very low natural fertility, low temperatures in the past, and limited activity of microorganisms might have contributed for the organic matter accumulation in this landscape position.…”

Section: Prediction Mapsmentioning

confidence: 92%

“…Agric. v.75, n.2, p.144-153, March/April 2018 ganic matter (Gessler et al, 2000), which, in turn, may explain the lower bulk density, higher total porosity, higher drainable porosity and Ksat in the same portions of the landscape, where the land use is native forest or natural regeneration ( Figure 2F). The opposite situation happens in pasture areas.…”

Section: Prediction Mapsmentioning

confidence: 99%

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Knowledge-based digital soil mapping for predicting soil properties in two representative watersheds

Menezes

Silva

Mello

et al. 2018

Sci. agric. (Piracicaba, Braz.)

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ABSTRACT:The estimation of soil physical and chemical properties at non-sampled areas is valuable information for land management, sustainability and water yield. This work aimed to model and map soil physical-chemical properties by means of knowledge-based digital soil mapping approach as a study case in two watersheds representative of different physiographical regions in Brazil. Two watersheds with contrasting soil-landscape features were studied regarding the spatial modeling and prediction of physical and chemical properties. Since the method uses only one value of soil property for each soil type, the way of choosing typical values as well the role of land use as a covariate in the prediction were tested. Mean prediction error (MPE) and root mean square prediction error (RMSPE) were used to assess the accuracy of the prediction methods. The knowledge-based digital soil mapping by means of fuzzy logics is an accurate option for spatial prediction of soil properties considering: 1) lesser intense sampling scheme;2) scarce financial resources for intensive sampling in Brazil; 3) adequacy to properties with non-linearity distribution, such as saturated hydraulic conductivity. Land use seems to influence spatial distribution of soil properties thus, it was applied in the soil modeling and prediction. The way of choosing typical values for each condition varied not only according to the prediction method, but also with the nature of spatial distribution of each soil property.

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“…Changes in soil depth is connected with processes of soil formation including chemical weathering of parent rock, loss of material formed through this weathering and transportation of soil by means of erosion (Fu et al, 2011). Besides the age pf soil formation, soil depth is also directly associated with topography, parent material, living organisms and climate (Gessler et al, 2000). The great degree of steepness in the study area caused soil depth to be low.…”

Section: Figure 1 Study Area Mapmentioning

confidence: 98%

Investigating Impacts of Large Dams on Agricultural Lands and Determining Alternative Arable Areas Using Gis and Ahp in Artvin, Turkey

Akıncı¹,

Özalp²,

Özalp³

2017

Scitech

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Large dams are generally built for the purposes of providing drinking or irrigation water, flood control, and producing hydroelectric power, but their constructions also result in some negative outcomes such as decreasing in flora and fauna diversity, inundation of arable lands, forest areas, cultural sites and involuntary displacement of people. The city of Artvin has been facing almost all of those negative effects since five large dams have being constructed on the section of the Çoruh River flowing within the city boundary. Three of those large dams completed submerged 795.60 ha of fertile agricultural land under the reservoir waters. The objective of this study was to determine potential suitable agricultural areas in substitution for those inundated due to these five dams. For this, the Analytic Hierarchy Process (AHP) method was used in this study. In the application, parameters including great soil groups, land use capability class, land use capability sub -class, soil depth, erosion degree, slope, aspect, elevation and other soil properties were used. A suitability map was created and separated into 5 categories according to the land suitability classification provided by the FAO. After deducting the forests, pastures, and reservoir areas, newly classified suitability map showed that 2.08% (11603.25 ha) of the study area was highly suitable, while 3.43% (19132.84 ha) was moderately suitable and 4.30% (23989.99 ha) was marginally suitable for agricultural production. It was interpreted that high slope, insufficient soil depth for agricultural production, and high erosion degree of the study area were effective factors in these findings.

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Modeling Soil–Landscape and Ecosystem Properties Using Terrain Attributes

Cited by 389 publications

References 13 publications

Terrain forms and spatial variability of soil properties in an area cultivatedwith citrus

Terrain forms and spatial variability of soil properties in an area cultivatedwith citrus

Knowledge-based digital soil mapping for predicting soil properties in two representative watersheds

Investigating Impacts of Large Dams on Agricultural Lands and Determining Alternative Arable Areas Using Gis and Ahp in Artvin, Turkey

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