Identification of the spatial distribution of soils using a process-based terrain characterization

Park, S. J.; McSweeney, Kevin; Lowery, B.

doi:10.1016/s0016-7061(01)00042-8

Cited by 167 publications

(125 citation statements)

References 22 publications

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“…Many topographic indices (TIs) have been derived to describe the spatial patterns of a landscape (Yokoyama et al, 2002), locate spatial patterns of species (Jenness, 40 2004), and simulate spatial soil moisture (Park et al, 2001). In hydrology, hydrological responses are forced by climatic inputs (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…LS is one of the key inputs to the universal soil loss equation (USLE) used to quantify soil erosion hazards (Desmet and Govers, 1996). Park et al (2001) indicated that TCI is a better TI to predict soil depth than TWI, plan curvature, and profile curvature (see 250 definitions in Table 1). Openness is considered a robust index that is used to identify surface convexities and concavities, which is better than the commonly used profile and plan curvature (Yokoyama et al, 2002).…”

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confidence: 99%

“…For example, Park et al (2001) showed that the areas with high values of TCI have high rates of soil erosion. Therefore, the variation of soil properties was considered to some degree by the inclusion of these TIs, but not in a full detail.…”

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confidence: 99%

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Topography significantly influencing low flows in snow-dominated watersheds

Li¹,

Wei²,

Yang³

et al. 2017

Preprint

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and other environmental fields. Flow variables include annual mean flow (Qmean), Q10%, Q25%, Q50%, Q75%, Q90%, and annual minimum flow (Qmin), where Qx% is defined as flows that at the percentage (x) occurred in any given year. Factor analysis (FA) was first adopted to exclude some redundant or repetitive TIs. Then, stepwise regression models were employed to quantify the relative contributions of TIs to each flow variable in each year. Our results show that topography plays a more important 30 role in low flows than high flows. However, the effects of TIs on flow variables are not consistent.Our analysis also determines five significant TIs including perimeter, surface area, openness, terrain characterization index, and slope length factor, which can be used to compare watersheds when low flow assessments are conducted, especially in snow-dominated regions. 35

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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Topography significantly influencing low flows in snow-dominated watersheds

Li¹,

Wei²,

Yang³

et al. 2017

Preprint

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“…Subsequently, generic classification, as a geomorphological classification system, could be defined by quantifying the flow of water, energy, and materials [47]. The relationship between the upslope contributing area (As) and the surface curvature (Cs) was used primarily to classify the topography [27].…”

Section: Tpi Slopementioning

confidence: 99%

Applying Topographic Classification, Based on the Hydrological Process, to Design Habitat Linkages for Climate Change

Lee

Song

et al. 2017

Forests

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Abstract:The use of biodiversity surrogates has been discussed in the context of designing habitat linkages to support the migration of species affected by climate change. Topography has been proposed as a useful surrogate in the coarse-filter approach, as the hydrological process caused by topography such as erosion and accumulation is the basis of ecological processes. However, some studies that have designed topographic linkages as habitat linkages, so far have focused much on the shape of the topography (morphometric topographic classification) with little emphasis on the hydrological processes (generic topographic classification) to find such topographic linkages. We aimed to understand whether generic classification was valid for designing these linkages. First, we evaluated whether topographic classification is more appropriate for describing actual (coniferous and deciduous) and potential (mammals and amphibians) habitat distributions. Second, we analyzed the difference in the linkages between the morphometric and generic topographic classifications. The results showed that the generic classification represented the actual distribution of the trees, but neither the morphometric nor the generic classification could represent the potential animal distributions adequately. Our study demonstrated that the topographic classes, according to the generic classification, were arranged successively according to the flow of water, nutrients, and sediment; therefore, it would be advantageous to secure linkages with a width of 1 km or more. In addition, the edge effect would be smaller than with the morphometric classification. Accordingly, we suggest that topographic characteristics, based on the hydrological process, are required to design topographic linkages for climate change.

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“…Following this track, Zhu et al [31] developed a soil-land inference model (SOLIM) to predict soil properties distribution using four terrain attributes (elevation, aspect, slope gradient and profile curvature) with only two additional environmental variables (namely, lithology and vegetation) To simplify the assessment of water transport processes, Park et al [23] proposed a Terrain Characterization Index (TCI), which is similar to Wetness Index (WI), w i =ln(a/tanβ), where a is the total upslope contributing area per unit contour length and β is the local slope angle [2]. The wetness index reflects the tendency of water to accumulate at any point in the catchment (in terms of a) and the tendency for gravitational forces to move that water downslope (expressed in terms of tanβ as an appropriate hydraulic gradient).…”

Section: Introductionmentioning

confidence: 99%

A Simplified Approach for Determining Hydrologic Behavior and Depth of Soils at Basin Scale

Carriero¹,

Romano²,

Fiorentino³

2007

J Agricult Engineer

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Land-surface models at basin scale usually employ various combinations of land-use and soil class data to parameterize the major hydrologic processes. Even though soil exerts a major influence on hydrologic processes, soil hydraulic behavior is still difficult to quantify at relatively large scales. Recently soil hydraulic parameterization for hydrologic modeling can be conveniently carried out using pedotransfer rules, which are based on the knowledge of basic soil physical and chemical variables, such as bulk density, textural composition, and organic matter content. However, the availability of this basic information can be rather limited over large land areas. Therefore, in this work we explore the feasibility of employing morphological features to retrieve basic soil data being then used in pedotransfer functions (PTFs), as well as soil depth being viewed here as an indicator of the lower boundary condition. The proposed approach is applied in the Agri River basin (approximately 1770 km2), in Southern Italy (Basilicata Region), where we assessed relationships among soil depth and texture with morphological attributes, such as elevation, slope gradient, slope orientation (aspect), and surface curvature. Climatic conditions were defined using mean annual rainfall and climatic indices. The results show an enhanced correlation between soil depth and slope when accounting for the local vegetation types. As expected, texture can be conveniently linked to parent material obtained from lithology. We show an application of the method to derive soil parameters from morphological and vegetation coverage data (DEM, Corine Land Cover, etc.), which are actually available for almost all national basins

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Identification of the spatial distribution of soils using a process-based terrain characterization

Cited by 167 publications

References 22 publications

Topography significantly influencing low flows in snow-dominated watersheds

Topography significantly influencing low flows in snow-dominated watersheds

Applying Topographic Classification, Based on the Hydrological Process, to Design Habitat Linkages for Climate Change

A Simplified Approach for Determining Hydrologic Behavior and Depth of Soils at Basin Scale

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