2011
DOI: 10.1016/j.ecolmodel.2011.01.003
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Modelling and mapping topographic variations in forest soils at high resolution: A case study

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Cited by 113 publications
(114 citation statements)
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“…The optimal size of CA was also dependent on the response variable (application) [24]. Murphy et al [19] found that the strongest relationship between soil properties and DTW was at the lowest tested CA. Different strengths of relationships between SI and the DTW index was found for different species (Figure 3).…”
Section: Discussionmentioning
confidence: 99%
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“…The optimal size of CA was also dependent on the response variable (application) [24]. Murphy et al [19] found that the strongest relationship between soil properties and DTW was at the lowest tested CA. Different strengths of relationships between SI and the DTW index was found for different species (Figure 3).…”
Section: Discussionmentioning
confidence: 99%
“…Murphy et al [18] found that DTW could delineate patterns of soil moisture (hydric to subhygric soil moisture regimes) in Central Alberta, and suggested usage of DTW for landscapes where belowground flow patterns are driven by surface topography. In addition, detailed physical and chemical soil properties, as well as soil, vegetation, and drainage type are found to be subject to topographic controls, and DTW with a 4 ha CA effectively estimated these in the Foothills Natural Region of Alberta [19]. In the Swedish boreal landscape DTW has been shown to be a good predictor of soil wetness, and while it was insensitive to the DEM scale, the optimal CA threshold varied by landform (from 1-2 ha on slowly permeable till deposits to 8-16 ha on coarse-textured deposits where water would drain quickly) [20].…”
Section: Introductionmentioning
confidence: 99%
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“…[23]). In addition, these maps provide a means 1) to assist in sizing and designing existing or contemplated bridge and culvert instal- For the mining purpose, the maps in Figure 5 and Figure 6 and their associated data layers could be used: For land-use planning purposes, the maps in Figures 4-7 form the basis for high-resolution soil drainage mapping [2]. In this, the DTW component in Figure 7 can be used for optimizing crop productivities in agriculture and forestry by accounting for local in-field soil wetness and dryness variations, with emphasis on selecting areas that are, e.g., best for wet-area farming practices, wetland and wildlife conservation, and/or stormwater management.…”
Section: Discussionmentioning
confidence: 99%
“…The purpose of this article is to show how the wet-areas modelling and mapping process (WAM [2] [3]) can be a useful addition to plan and assess the hydrological viability of residential, agricultural and mining developments. This is done by way of a case study focused on the Los Pelambres Cu mining activities east of Salamanca in the Coquimbo Region of Chile ( Figure 1).…”
Section: Introductionmentioning
confidence: 99%