This dataset contains the mean volumetric percent of rock for each of 11 standard soil layers for the 48 conterminous states derived from the State Soil Geographic (STATSGO) soils data compiled by the Natural Resources Conservation Service (NRCS) of the U.S. Department of Agriculture. Rock fragments are defined as unattached particles 2 mm or larger in diameter that are strongly cemented or more resistant to rupture. The size and occurrence of rock fragments in the soil has significant implications for hydrologic processes, soil temperature, soil erosion, and degradation.
For use with GEOSTAC database, this data set has been compiled to simplify pesticide risk assessment and provide a common data for all vested interests.
The information below was compiled from the following web page: http://www.essc.psu.edu/soil_info/index.cgi?soil_data&conus&data_cov Overview The infiltration of precipitation is significantly affected by the size and amounts of rock fragments (particles with diameters of 2 mm or greater) located in the soil profile. The presence of rock fragments changes the soil pore space amount and structure which modifies the size and distribution of pathways for water movement through the soil. This dataset was created by determining the mean percent by volume of the soil material which is unable to pass through a No. 10 sieve (2-mm mesh) for each standard layer of each map unit for each of the 48 conterminous states (mapunits for the District of Columbia are included under Maryland), and then joining the results for the 48 states into a single dataset. To increase compatability with different types of data analysis software, the dataset is available in several different data file formats. These include both Arc/Info polygon format and a gridded version at 1 km resolution; the latter is available in both Arc/Info grid format and as a three-dimensional array of 8-bit binary integers representing rock volume percent for each standard layer. The description of dataset files provides additional details on formats, the data files asociated with each format, and instructions for file retrieval. For the gridded version of the dataset, any 1-km grid cell which contains portions of two or more mapunits was assigned the rock volume value of the mapunit which occupies the largest fraction of the cell. For the Arc/Info grid version, the rock volume percent for each layer may be accessed using the mapunit serial numbers associated with each STATSGO mapunit; the rock volume data have been incorporated into the Value Attribute Table (VAT) entry for each mapunit. The mean rock volume percent was determined for each of 11 standard layers for each map unit of each state using data from the STATSGO Comp and Layer tables. The standard layers were introduced because of the wide variation in the number, thickness, and depth to top and bottom of soil layers in the STATSGO data from one soil component to another, even within the same map unit. Determining the volumetric percent of rocks for the 11 standard layers required three main steps: Computing the percent of rock by volume in each component layer. For each component, determining the contribution of each component layer to the 11 standard layers. For each map unit, combining the contributions of all components to compute the mean rock volume percent for each standard layer. The computation of the rock volume in each component layer uses four pairs of variables in the STATSGO Layer table: the bulk density (BDL/BDH); the fraction by mass of the soil material less than 3 inches in diameter which passes a No. 10 (2 mm) sieve (NO10L/NO10H); the fraction by mass composed of rocks with sizes between 3 and 10 inches (INCH3L/INCH3H); and the fraction by mass composed of rocks larger than 10 inches (INCH10L/INCH10H). For each pair of variables, the "L" and "H" values give the upper and lower end of the range of values for the quantity within the layer. Since the size variables are given in terms of percent by mass, computation of the volumetric rock fraction requires combining the mean bulk density (BD) of the fine soil component with the mean particle density (PD) of the rocks. In terms of the variables recorded in the STATSGO Layer table, the mean rock volume RVOL for a layer is given by RVOL = 100 - FINES / DENOM where the mass percent of fines soil is given by FINES = NO10 * (100 - INCH3 - INCH10) and the denominator is DENOM = FINES + (100 - FINES) * (BD / PD) The values of each of the variables BD, NO10, INCH3, and INCH10 were computed as the arithmetic mean of the "L" and "H" ends of their ranges as specified in the Layer table. PD was assigned a value of 2.65 g/cm³, the mean density of silicate rocks. The contributions of each component layer to the standard layers for a given map unit were determined using the component layer depths specified by Layer table variables LAYDEPL and LAYDEPH, the mean depth to bedrock for each component calculated by averaging Comp table variables ROCKDEPL and ROCKDEPH, and the percent of the area of the map unit covered by each component as specified by COMPPCT. For each component, the layers defined in the Layer table were compared with each standard layer in turn. If the standard layer was entirely included within one of the component layers, the rock volume value for the layer was multiplied by the COMPPCT value to determine the weighted contribution of the component to the standard layer. If the standard layer overlapped two or more component layers, the rock volume values for each component layer were first weighted in proportion to the amount of overlap before multiplication by the COMPPCT value. The region from the bottom of the last component layer to the bottom of the last standard layer, if any, was assumed to be the same as the lowest component layer down to the mean bedrock depth, below which the rock volume percent was set to 100. The weighted contributions of all components to each standard layer were then summed to obtain the mean rock volume values for the map unit. However, if a component was identified as all water (COMPNAME = "WATER") or if the Layer table records contained contradictory values for particle size and density (see below), the component was omitted from the computation. If the map unit was entirely water, it was assigned a rock volume of zero. Otherwise, if all non-water components were unusable because of invalid or contradictory information, the map unit was assigned a flag value of 101%. Two major problems were encountered which affect the validity of the computed values. Many components specify ROCKDEPL = ROCKDEPH = 60 inches (152 cm) to infer that the soil was not examined below this depth. In most cases, bedrock is not actually present. However, there was no way to determine whether this was the case for any given component. Accordingly, the rock volume values for layers extending below this depth (the deepest two standard layers) will frequently be misleading. A number of non-water components, and in some cases entire map units, have BDL = BDH = 0 for all component layers, even though other variables for the layer (e.g., texture) contradict the BD values. In addition, values for NO10, INCH3, and INCH10 were often missing, and in some cases contradictory. In particular, there were about 250 components for which INCH3L + INCH10L exceeded 100%, suggesting that when the values were entered the INCH3 variable was incorrectly interpreted as the total percent by mass of rock fragments larger than 3 inches, rather than being only the fraction between 3 and 10 inches as specified in the STATSGO variable definitions. It was not possible to determine for how many additional components, with INCH3L + INCH10L < 100%, this same incorrect interpretation was made. In all cases, an attempt was made to compute the rock volume using the values as specified, and setting missing NO10, INCH3, and INCH10 values to zero. In a number of cases in which the Layer table specified BDL = BDH = 0, the top of the layer (LAYDEPL) was at or below the mean depth to bedrock; for these cases the layer was assumed to be bedrock, and the rock volume was set to 100%. A component was omitted from the computations for a map unit only if the given data values led to nonsensical results, such as a negative value for FINES or a zero or negative value for DENOM.
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For many STATSGO components, a depth-to-bedrock value of 60 inches (152 cm) was used to indicate that the soil was sampled only to this depth, and no bedrock was encountered. As a result, for many mapunits an entry of "bedrock" for the two lowest standard layers (1.5 to 2.5 m) may actually indicate "no data". As discussed in greater detail under " processing methodology", the STATSGO Layer table entries from which the rock volume values were determined were sometimes incomplete or contradictory. Map unit components for which data ambiguities could not be resolved were omitted from the computation of mean rock volume percent for the map unit. In a few cases, non of the non-water components could be used; these map units were flagged by assigning a rock volume value of 101%. In addition, there appear to be some map unit components for which the reported percent of rocks between 3 and 10 inches in size actually referred to the total of rocks larger than 3 inches; it was not possible to determine how often this occurred.
897 B Harrison St SE
Miller, D.A. and R.A. White, 1998: A Conterminous United States Multi-Layer Soil Characteristics Data Set for Regional Climate and Hydrology Modeling. Earth Interactions, 2. [Available on-line at http://EarthInteractions.org] http://www.essc.psu.edu/soil_info/index.cgi?soil_data&conus&data_cov&ph
The mean rock volume percent was determined for each of 11 standard layers for each map unit of each state using data from the STATSGO Comp and Layer tables. The standard layers were introduced because of the wide variation in the number, thickness, and depth to top and bottom of soil layers in the STATSGO data from one soil component to another, even within the same map unit. Determining the volumetric percent of rocks for the 11 standard layers required three main steps: Computing the percent of rock by volume in each component layer. For each component, determining the contribution of each component layer to the 11 standard layers. For each map unit, combining the contributions of all components to compute the mean rock volume percent for each standard layer. The computation of the rock volume in each component layer uses four pairs of variables in the STATSGO Layer table: the bulk density (BDL/BDH); the fraction by mass of the soil material less than 3 inches in diameter which passes a No. 10 (2 mm) sieve (NO10L/NO10H); the fraction by mass composed of rocks with sizes between 3 and 10 inches (INCH3L/INCH3H); and the fraction by mass composed of rocks larger than 10 inches (INCH10L/INCH10H). For each pair of variables, the "L" and "H" values give the upper and lower end of the range of values for the quantity within the layer. Since the size variables are given in terms of percent by mass, computation of the volumetric rock fraction requires combining the mean bulk density (BD) of the fine soil component with the mean particle density (PD) of the rocks. In terms of the variables recorded in the STATSGO Layer table, the mean rock volume RVOL for a layer is given by RVOL = 100 - FINES / DENOM where the mass percent of fines soil is given by FINES = NO10 * (100 - INCH3 - INCH10) and the denominator is DENOM = FINES + (100 - FINES) * (BD / PD) The values of each of the variables BD, NO10, INCH3, and INCH10 were computed as the arithmetic mean of the "L" and "H" ends of their ranges as specified in the Layer table. PD was assigned a value of 2.65 g/cm³, the mean density of silicate rocks. The contributions of each component layer to the standard layers for a given map unit were determined using the component layer depths specified by Layer table variables LAYDEPL and LAYDEPH, the mean depth to bedrock for each component calculated by averaging Comp table variables ROCKDEPL and ROCKDEPH, and the percent of the area of the map unit covered by each component as specified by COMPPCT. For each component, the layers defined in the Layer table were compared with each standard layer in turn. If the standard layer was entirely included within one of the component layers, the rock volume value for the layer was multiplied by the COMPPCT value to determine the weighted contribution of the component to the standard layer. If the standard layer overlapped two or more component layers, the rock volume values for each component layer were first weighted in proportion to the amount of overlap before multiplication by the COMPPCT value. The region from the bottom of the last component layer to the bottom of the last standard layer, if any, was assumed to be the same as the lowest component layer down to the mean bedrock depth, below which the rock volume percent was set to 100. The weighted contributions of all components to each standard layer were then summed to obtain the mean rock volume values for the map unit. However, if a component was identified as all water (COMPNAME = "WATER") or if the Layer table records contained contradictory values for particle size and density (see below), the component was omitted from the computation. If the map unit was entirely water, it was assigned a rock volume of zero. Otherwise, if all non-water components were unusable because of invalid or contradictory information, the map unit was assigned a flag value of 101%. Two major problems were encountered which affect the validity of the computed values. Many components specify ROCKDEPL = ROCKDEPH = 60 inches (152 cm) to infer that the soil was not examined below this depth. In most cases, bedrock is not actually present. However, there was no way to determine whether this was the case for any given component. Accordingly, the rock volume values for layers extending below this depth (the deepest two standard layers) will frequently be misleading. A number of non-water components, and in some cases entire map units, have BDL = BDH = 0 for all component layers, even though other variables for the layer (e.g., texture) contradict the BD values. In addition, values for NO10, INCH3, and INCH10 were often missing, and in some cases contradictory. In particular, there were about 250 components for which INCH3L + INCH10L exceeded 100%, suggesting that when the values were entered the INCH3 variable was incorrectly interpreted as the total percent by mass of rock fragments larger than 3 inches, rather than being only the fraction between 3 and 10 inches as specified in the STATSGO variable definitions. It was not possible to determine for how many additional components, with INCH3L + INCH10L < 100%, this same incorrect interpretation was made. In all cases, an attempt was made to compute the rock volume using the values as specified, and setting missing NO10, INCH3, and INCH10 values to zero. In a number of cases in which the Layer table specified BDL = BDH = 0, the top of the layer (LAYDEPL) was at or below the mean depth to bedrock; for these cases the layer was assumed to be bedrock, and the rock volume was set to 100%. A component was omitted from the computations for a map unit only if the given data values led to nonsensical results, such as a negative value for FINES or a zero or negative value for DENOM. The 11 standard layers are : Layer Thickness Depth to Top Depth to Bottom 1 5 cm (2 in) 0 cm (0 in) 5 cm (2 in) 2 5 cm (2 in) 5 cm (2 in) 10 cm (4 in) 3 10 cm (4 in) 10 cm (4 in) 20 cm (8 in) 4 10 cm (4 in) 20 cm (8 in) 30 cm (12 in) 5 10 cm (4 in) 30 cm (12 in) 40 cm (16 in) 6 20 cm (8 in) 40 cm (16 in) 60 cm (24 in) 7 20 cm (8 in) 60 cm (24 in) 80 cm (31 in) 8 20 cm (8 in) 80 cm (31 in) 100 cm (39 in) 9 50 cm (20 in) 100 cm (39 in) 150 cm (59 in) 10 50 cm (20 in) 150 cm (59 in) 200 cm (79 in) 11 50 cm (20 in) 200 cm (79 in) 250 cm (98 in) The above selection of the number and depths of these standard layers reflects three main considerations: The wide variation of numbers, thicknesses, and depths of layers for different components means that there are no "natural" or "obvious" choices for the standard layers. Many models are particularly sensitive to the properties of the top few centimenters of soil; hence extra priority should be given to preserving all available information for this region. To minimize data volumes, layer thicknesses should not be much less than the thicknesses of "typical" component layers at similar depths. To aid in the selection of standard layers, therefore, the frequencies of depths and thicknesses of layers were tabulated for all components. This tabulation indicated that roughly 50% of components have surface layers thicker than 20 cm (8 inches); only about 4% of surface layers have a thickness of 5 cm (2 inches) or less, and about 16%, 10 cm (4 inches) or less. Deeper layers are in general thicker -- roughly 60% of all layers were at least 50 cm (20 inches) thick. The majority of components did not record layers extending below 60 inches (approximately 1.5 m); only about 10% include layers extending beyond 2.0 m (79 inches).
Source data was downloaded from http://www.essc.psu.edu/soil_info/index.cgi?soil_data&conus&citation and imported into ArcGRID file format
Data set was projected to Albers Equal Area and referenced to the NAD83 datum.
ArcINFO Command MERGEVAT applied to join Value Attribute Table from source data set to newly projected data set in order to capture all attributes.
Metadata generated by referencing source data set documentation available at: http://www.essc.psu.edu/soil_info/index.cgi?soil_data&conus&data_cov.
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Data can be downloaded from www.geostac.org with a registered user ID and password provided by the Spatial Sciences Laboratory.
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897 B Harrison Street SE