The capability classification is one of several interpretive soil groupings made for agricultural purposes. The capability groupings provide information at three different levels of generalization; namely, class, subclass, and unit. In the early stages of conservation planning it is important to know for each kind of soil its location, extent, and general suitability for various uses. Soil maps interpreted into the eight capability classes provide this general information. Capability classes are set up so the soils having the greatest alternative uses are in class I and the least in class VIII. When uses are considered collectively, the risks or limitations become progressively greater from class I to class VIII land. Capability subclasses within each of the classes other than class I denote the major kind of conservation problems. Four kinds of problems are recognized in defining subclasses: (1) Runoff and erosion; (2) wetness and drainage; (3) root zone and tillage limitations, such as shallow soil, stones, low moisture capacity, and salinity; and (4) climatic limitations. Within each capability class and subclass the capability units provide specific groupings of similar soils. A capability unit is a group of soils that are nearly alike in potentials for plant growth and responses to management. That is, a reasonably uniform set of alternatives can be presented for the soil, water, and plant management of the soils in a capability unit, assuming that effects of past management are properly considered.
An R‐mode factor analysis was made on the grain‐size classes of the sediments in the Gironde estuary in order to group the sieve sizes into dynamically significant factors. It was found that three main groups of sand populations exist within the distributional province investigated. Comparison with previous works suggests that each group reflects a specific transport mechanism. The main group boundaries are the same as those observed on the log‐probability cumulative size curves of the sediments. The three main groups consist of the following sizes: finer than 3.0 Φ, 3.0 Φ‐0.6 Φ, and coarser than 0.6 Φ. The three groups are thought to represent respectively “pure” (or uniform) suspension transport, mixed suspension bed‐load, and “pure” bed‐load (surface creep) transport. Furthermore, a subdivision exists in the mixed‐suspension‐bed‐load group: the sediments between 3.0 Φ and 2.0 Φ seem to represent a “graded suspension” transport while the sizes between 2.0 Φ and 0.6 Φ are thought to represent “saltation” (graded suspension plus bed‐load). All the samples containing more than 5% of the surface creep population plot either as “graded‐suspension plus rolling” or as “rolling” in the CM pattern of the sediments.
RESUMENLa investigación sobre el desarrollo de una "flecha litoral" además de aumentar el conocimiento de este fenómeno, juega un papel muy interesante cuando esta evolución natural está perturbada por la influencia del hombre.Los estudios presentados aquí tratan de reconstruir la evolución de la "flecha litoral" del Laguito con la ayuda, de un parte, de las formaciones históricas a partir de la fundación de la ciudad de Cartagena y de otra parte con los datos hicirodinámicos V sedimentológicos. RESUME L'évolution naturelle d'une fleche littorale apporte des informations particulierement intéressantes lorsqu'elle est perturbée par l'intervention de l'homme, tant á l'endroit méme, que dans son voisinage.Cette étude retrace l'évolution de la fleche littorale du Laguito, avec l'aide, d'une part, de données historiques depuis la fondation de la ville de Cartagena et d'autre part, des caractéristiques hydrodynamiques et sédimentologiques de ce systeme.ABSTRACT Natural evolution of a coastal spit takes a special interest when it is disturbed by man made operations. This study describes the historical and recent evolutions of the coastal spit of Laguito (at the rnouth of Cartagena bay) since the founding of the town of Cartagena (Colombia), using old maps, aerial surveyings, hydrodynamic and seclimentological datas.
The intent of this publication is twofold: (1) to serve as a user guide for soil scientists and others interested in learning about the value and use of digital elevation model (DEM) data in making soil surveys and (2) to provide documentation of the Soil Landscape Analysis Project (SLAP). This publication provides a step-by-step guide on how digital slope-class maps are adjusted to topographic maps and orthophotoquads to obtain accurate slope-class maps, and how these derivative maps can be used as a base for soil survey premaps. In addition, guidance is given on the use of aspect-class maps and other resource data in making pre-maps. The value and use of tabular summaries are discussed. Examples of the use of DEM products by the authors and by selected field soil scientists are also given. Additional information on SLAP procedures may be obtained from USDA, Soil
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