Estimation of Soil Properties by Orbital and Laboratory Reflectance Means and its Relation with Soil Classification

2013 ◽  
Vol 2 (1) ◽  
pp. 12-23
Author(s):  
P.R. Fioriob
Keyword(s):  
Soil Properties ◽  
Soil Classification

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

Geoderma ◽  
2014 ◽  
Vol 219-220 ◽  
pp. 106-116 ◽  
Author(s):  
Alessandra Fagioli da Silva ◽  
Maria João Pereira ◽  
João Daniel Carneiro ◽  
Célia Regina Lopes Zimback ◽  
Paulo Milton Barbosa Landim ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Soil Properties ◽  
Soil Classification ◽  
New Approach

scholarly journals Harmonisation of a large-scale historical database with the actual Czech soil classification system

2020 ◽  
Vol 15 (No. 2) ◽  
pp. 101-115 ◽  
Author(s):  
Tereza Zádorová ◽  
Daniel Žížala ◽  
Vít Penížek ◽  
Aleš Vaněk
Keyword(s):  
Soil Properties ◽  
Classification System ◽  
Large Scale ◽  
Soil Classification ◽  
Study Region ◽  
Taxonomic Distance ◽  
Historical Database ◽  
Legacy Data ◽  
Soil Units ◽  
Data Harmonisation

The possibility of the adequate use of data and maps from historical soil surveys depends, to a large measure, on their harmonisation. Legacy data originating from a large-scale national mapping campaign, “Systematic soil survey of agricultural soils in Czechoslovakia (SSS, 1961–1971)”, were harmonised and converted according to the actual system of soil classification and descriptions used in Czechia – the Czech taxonomic soil classification system (CTSCS). Applying the methods of taxonomic distance and quantitative analysis and reclassification of the selected soil properties, the conversion of two types of mapping soil units with different detailed soil information (General soil representative (GSR), and Basic soil representative (BSR)) to their counterparts in the CTSCS has been effectuated. The results proved the good potential of the used methods for the soil data harmonisation. The closeness of the concepts of the two classifications was shown when a number of soil classes had only one counterpart with a very low taxonomic distance. On the contrary, soils with variable soil properties were approximating several related units. The additional information on the soil skeleton content, texture, depth and parent material, available for the BSR units, showed the potential in the specification of some units, though the harmonisation of the soil texture turned out to problematic due to the different categorisation of soil particles. The validation of the results in the study region showed a good overall accuracy (75% for GSR, 76.1% for BSR) for both spatial soil units, when better performance has been observed in BSR. The conversion accuracy differed significantly in the individual soil units, and ranged from almost 100% in Fluvizems to 0% in Anthropozems. The extreme cases of a complete mis-classification can be attributed to inconsistencies originating in the historical database and maps. The study showed the potential of modern quantitative methods in the legacy data harmonisation and also the necessity of a critical approach to historical databases and maps.

Amalgamation and Harmonization of Soil Survey Reports into a Multi-purpose Database

2020 ◽  
Author(s):  
Shane Robert Furze ◽  
Paul Arp
Keyword(s):  
New Brunswick ◽  
Soil Properties ◽  
Vegetation Type ◽  
Soil Classification ◽  
Parent Material ◽  
Soil Survey ◽  
Soil Horizon ◽  
Soil Conditions ◽  
Soil Parent Material ◽  
Soil Surveys

There is a growing demand for standardized, easily accessible and detailed information pertaining to soil and its variability across the landscape. Typically, this information is only available for select areas in the form of local or regional soil surveys reports which are difficult, and costly, to develop. Additionally, soil surveying protocols have changed with time, resulting in inconsistencies between surveys conducted over different periods. This article describes systematic procedures applied to generate an aspatial, terminologically- and unit-consistent, database for forest soils from county-based soil survey reports for the province of New Brunswick, Canada. The procedures involved (i) amalgamating data from individual soil surveys following a hierarchical framework, (ii) summarizing and grouping soil information by soil associations, (iii) assigning correct soil associates to each association, with each soil associate distinguished by drainage classification, (iv) assigning pedologically-correct horizon sequences, as identified in the original soil surveys, to each soil associate, (v) assigning horizon descriptors and measured soil properties to each horizon, as outlined by the Canadian System of Soil Classification, and (vi) harmonizing units of measurement for individual soil properties. Identification and summarization of all soil associations (and corresponding soil associates) was completed with reference to the principal soil-forming factors, namely soil parent material, topographic surface expressions, soil drainage, and dominant vegetation type(s). This procedure, utilizing 17 soil surveys, resulted in an amalgamated database containing 106 soil associations, 243 soil associates, and 522 soil horizon sequences summarizing the variability of forest soil conditions across New Brunswick.

scholarly journals Influence of Mine Soil Properties on White Oak Seedling Growth: A Proposed Mine Soil Classification Model

2007 ◽  
Vol 31 (2) ◽  
pp. 99-107 ◽  
Author(s):  
Julia M. Showalter ◽  
James A. Burger ◽  
Carl E. Zipper ◽  
John M. Galbraith ◽  
Patricia F. Donovan
Keyword(s):  
Regression Model ◽  
Soil Properties ◽  
Seedling Growth ◽  
Tree Growth ◽  
Tree Height ◽  
Soil Classification ◽  
Classification Model ◽  
Slope Aspect ◽  
Mine Soil ◽  
White Oak

Abstract Appalachian landowners are becoming increasingly interested in restoring native hardwood forest on reclaimed mined land. Trees are usually planted in topsoil substitutes consisting of blasted rock strata, and reforestation attempts using native hardwoods are often unsuccessful due to adverse soil properties. The purpose of this study was to determine which mine soil properties most influence white oak (Quercus alba L.) seedling growth, and to test whether these properties are reflected adequately in a proposed mine soil classification model developed for application in field assessments of mine soil suitability for reforestation. Seventy-two 3-year-old white oaks were randomly selected across a reclaimed site in southwestern Virginia that varied greatly in spoil/site properties. Tree height was measured and soil samples adjacent to each tree were analyzed for physical, chemical, and biological properties. Our proposed mined land classification model used rock type, compaction, and slope aspect as mapping criteria. Tree height, ranging from 15.2 to 125.0 cm, was regressed against mine soil and site properties. Mapping units were not well correlated with differences in tree height. Microbial biomass, pH, exchangeable potassium, extractable inorganic nitrogen, texture, aspect, and extractable phosphorous accounted for 52% of the variability in tree growth. The regression model shows that white oaks were most successful on northeast-facing aspects, in slightly acidic, sandy loam, fertile mine soils that are conducive to microbial activity. Nutrient availability, although found to be highly influential on tree growth, was not adequately represented in the classification model. We recommend that pH be included as a classification criterion, because it was correlated with all nutrient variables in the regression model.

Corrigenda - A synoptic approach for crop loss assessment used to study wheat. III. Variables derived from soil properties and traditional soil classifications suitable for regression studies

Soil Research ◽  
1981 ◽  
Vol 19 (1) ◽  
pp. 13
Author(s):  
LG Veitch ◽  
BA Stynes
Keyword(s):  
Soil Properties ◽  
Soil Classification ◽  
Growth And Yield ◽  
Loss Assessment ◽  
Crop Loss Assessment ◽  
Traditional Classification ◽  
Soil Information ◽  
New Variables ◽  
Physical And Chemical ◽  
Synoptic Approach

The combined information in the physical and chemical soil properties and in the traditional soil classification data has been split into three nearly uncorrelated groups of independent variables. One group comprises three variables and is concerned specifically with the traditional classification, a second group comprises seven variables and includes information specific to the soil properties, and a third group comprises one variable and includes the remainder of the information in the soil properties, i.e. that which is most strongly related to the traditional soil classification data. The new variables, which are substantially independent linear combinations of the original variables, form a convenient basis for the subsequent regression work in this study where the contribution of soil information to the variability of growth and yield of wheat in the study area is to be considered.

Serpentine Soil Distributions and Environmental Influences

2007 ◽  
Author(s):  
Earl B. Alexander ◽  
Roger G. Coleman ◽  
Todd Keeler-Wolfe ◽  
Susan P. Harrison
Keyword(s):  
Soil Properties ◽  
Soil Classification ◽  
Serpentine Soil ◽  
Soil Survey ◽  
Aluminum Silicate ◽  
Serpentine Soils ◽  
Soil Taxonomy ◽  
Parent Materials ◽  
Exchange Complex ◽  
Cation Status

Serpentine soils occur in all but one of the twelve orders (Alexander 2004b), which is the highest level in Soil Taxonomy (Soil Survey Staff 1999), the primary system of soil classification utilized in this book (appendix C). They occur in practically every environment from cold arctic to hot tropical and from arid to perhumid (always wet). Thus the variety of serpentine soils is very great even though they occupy only a small fraction of the earth. Serpentine soils have been found in all states and provinces that are adjacent to the Pacific Ocean from Baja California to Alaska. They are most concentrated in the California Region, where they have been mapped in 34 counties in California and in 5 counties in southwestern Oregon. Serpentine lateritic (or “nickel laterite”) soils, which have not been mapped separately from other soils, are economically significant in California and southwest Oregon, even though they are not widely distributed in western North America. A representative serpentine soil is shown in figure 6-1. Serpentine soils, or soils in magnesic (serpentine) families, are represented in 11 of the 12 soil orders. Spodosols and Histosols in magnesic families occur only where there is a thin cover of nonserpentine materials over the serpentine materials, and there are no serpentine Andisols. Andisols contain amorphous and poorly ordered aluminum-silicate minerals, which are responsible for andic soil properties of these soils. Serpentine soil parent materials do not contain enough aluminum for the development of andic soil properties that are definitive of Andisols. Alfisols are soils with argillic (or natric) horizons having more than 35% exchangeable bases (Ca2+, Mg2+, Na+, and K+) on the cation exchange complex. Al3+ and H+ are the common nonbasic (acidic) cations on the exchange complex. The Mg2+ that serpentine soil parent materials release upon weathering keeps the basic cation status of soils high, unless they are leached intensively. Some of the soil horizon sequences are A-Bt, A-Btn, and A-Bt-Btk in Alfisols. Soils of Dubakella Series and other moderately deep Mollic Haploxeralfs with a mesic soil temperature regime are the most extensively mapped serpentine Alfisols in California and southwestern Oregon. Figure 6-1 is representative of the Mollic Haploxeralfs.

scholarly journals Soil Protection in Floodplains—A Review

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 149
Author(s):  
Mariam El Hourani ◽  
Gabriele Broll
Keyword(s):  
Soil Properties ◽  
Soil Classification ◽  
Minimum Data Set ◽  
Rooting Depth ◽  
Riparian Zones ◽  
Soil Protection ◽  
Detailed Knowledge ◽  
Data Set ◽  
Minimum Data ◽  
Soil Information

Soils in floodplains and riparian zones provide important ecosystem functions and services. These ecosystems belong to the most threatened ecosystems worldwide. Therefore, the management of floodplains has changed from river control to the restoration of rivers and floodplains. However, restoration activities can also negatively impact soils in these areas. Thus, a detailed knowledge of the soils is needed to prevent detrimental soil changes. The aim of this review is therefore to assess the kind and extent of soil information used in research on floodplains and riparian zones. This article is based on a quantitative literature search. Soil information of 100 research articles was collected. Soil properties were divided into physical, chemical, biological, and detailed soil classification. Some kind of soil information like classification is used in 97 articles, but often there is no complete description of the soils and only single parameters are described. Physical soil properties are mentioned in 76 articles, chemical soil properties in 56 articles, biological soil properties in 21 articles, and a detailed soil classification is provided in 32 articles. It is recommended to integrate at least a minimum data set on soil information in all research conducted in floodplains and riparian zones. This minimum data set comprises soil types, coarse fragments, texture and structure of the soil, bulk density, pH, soil organic matter, water content, rooting depth, and calcium carbonate content. Additionally, the nutrient and/or pollution status might be a useful parameter.

DEEP PLOWED SOLONETZIC AND CHERNOZEMIC SOILS: I. TILTH AND PHYSICOCHEMICAL FEATURES OF THE CULTIVATED LAYER

1985 ◽  
Vol 65 (4) ◽  
pp. 629-638 ◽  
Author(s):  
G. D. BUCKLAND ◽  
S. PAWLUK
Keyword(s):  
Physical Properties ◽  
Soil Properties ◽  
Soil Classification ◽  
Total N ◽  
East Central ◽  
Soil Fabric ◽  
Physicochemical Features ◽  
Moisture Stability ◽  
Deep Plowing ◽  
Exchange Acidity

Micromorphological, chemical, mineralogical and physical properties of deep plowed and conventionally tilled soils were evaluated at five sites in east-central Alberta. Soil properties, as they relate to soil classification and seedbed tilth, were determined. Deep plowing resulted in the development of a unique soil fabric in Ap horizons which, relative to conventionally tilled soils, had characteristics tending towards higher salinity, sodicity, pH, clay, smectite and strength and lower exchange acidity, total C, total N, available moisture, stability and plasticity. Landscapes dominated by Solonetzic soils responded differently to deep plowing than landscapes where significant areas of Chernozemic soils were present [Formula: see text]. Solonetzic landscapes tended towards significantly higher salinity, sodicity and strength in Ap horizons than Chernozemic landscapes. Key words: Tilth, deep plowing, soil classification, reclamation

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