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Fig. 1-Field plot design. <br />to 70% of the aboveground biomass, thus simulating a moderate level <br />of grazing. Stubble height was kept as high as possible in an effort to <br />trap snow and increase moisture availability the following growing <br />season. During harvesting, samples of each grass species were col- <br />lected at each plot and placed in a sealed container. In the laboratory, <br />these samples were oven -dried at 70 °C, and the wet -to -dry factors <br />thus obtained were used to convert the field data to a dry- weight basis. <br />A gamma- neutron probe was used to measure moisture and bulk <br />density at four locations in each plot. The moisture profile was ob- <br />tained by measuring both moisture and density at 15 -, 30 -, 50 -, 70 -, <br />90-, and 110-cm depths. Moisture data were converted to percentage <br />moisture by weight and the profile with the highest moisture content <br />(usually the May profile) at a given location compared with the lowest <br />moisture profile (usually the August profile) at that location. It was <br />assumed that correlations existed between water depletion and the <br />relative quantity of roots present; a number of studies have used this <br />technique to indicate depth of rooting activity (Bohm, 1979; Power et <br />al., 1981). Coring at selected plots appeared to support the relation <br />between water depletion and rooting depth. <br />Laboratory and Statistical Methods <br />At the time of plot construction, samples of spoil and of soil were <br />collected. Following sieving to remove fragments > 2 mm in diam- <br />eter, standard methods were used to determine chemical and physical <br />properties of the materials. Hydrogen ion activity was determined in a <br />water- saturated paste using a glass electrode. Values of electrical con- <br />ductivity (EC) and of sodium adsorption ratio (SAR) were determined <br />using methods developed by the U.S. Salinity Laboratory Staff (1954). <br />Iron and zinc were determined by the DTPA method (Lindsay & Nor- <br />veil, 1978) and organic C was measured using the Walkley -Black pro- <br />cedure described by Nelson and Sommers (1982). The hot water extract <br />method was used to determine B (Bingham, 1982), the hydrometer <br />method was used to determine texture (Day, 1965), and clay minerals <br />were identified by X -ray diffraction (Whittig, 1965). The rate of water <br />infiltration into spoil and soil (where soil depth was 152 cm) was de- <br />termined using an infiltrometer as described by Haise et al. (1956). <br />The response of perennial grass production to increasing soil depth <br />was expressed on a relative basis as a percentage of the maximum <br />production (or yield), thus eliminating the influence of plot location <br />on the production response pattern and, when desired, eliminating the <br />influence of precipitation and species traits on the response pattern. A <br />replicate (n) was defined as production for a given species in a given <br />plot for a particular year. The data were pooled in various ways, i.e., <br />400 J. Environ. Qual., Vol. 13, no. 3, 1984 <br />by spoil traits, by years, by species, and by growing season precipita- <br />tion. Standard statistical techniques, as described by Steel and Torrie <br />(1960), were used throughout this study to calculate confidence inter- <br />vals, to test hypotheses, and to calculate various statistical <br />parameters. <br />RESULTS AND DISCUSSION <br />Influence of Spoil Type <br />The response patterns of cool- season grass <br />production to increasing soil depth were dependent on <br />chemical and physical traits of the underlying spoil. <br />Therefore, data were pooled on the basis of spoil traits, <br />with four spoil types (generic, sodic, acid, and soil -like) <br />being recognized. <br />Generic Spoil <br />Generic -type spoil lacked distinguishing traits (such <br />as sodicity and acidity) and differed from soil in terms <br />of origin, biological activity, and ability to support <br />plant growth. Traits useful in describing this spoil type <br />and the applied soil are presented in Table 1. <br />Spoil pH was near neutral and had a narrow range <br />from 6.6 to 7.6. This spoil type was commonly saline, <br />but the highest salinity level was only 5.08 dS m '. <br />Generic spoil was subjected to a comprehensive nutrient <br />analysis and, with exception of N and P which were <br />applied as fertilizers, generic spoil contained moderate <br />levels of nutrients. Organic C in spoil ranged from 0.4 <br />to 16.7 g kg but this material was dominated by coal <br />fragments and should not be considered as biologically <br />active plant residue. Spoil was generally classified as a <br />clay loam, and kaolinite was the dominant clay mineral <br />at most plots. Plots with generic spoil were found at 10 <br />locations in the NGP: six plots were located in Wyom- <br />ing, three plots in Montana, and one plot in North <br />Dakota. <br />Soil used in the plots was characterized as mildly alka- <br />line, nonsaline, nonsodic, and loam to sandy loam in <br />texture (Table 1). With exception of N and P, the soil <br />nutrient status was not considered restrictive to plant <br />growth. <br />Infiltration, density, and plant establishment were <br />other traits pertinent to evaluating the growth media. <br />Water infiltration into soil was approximately three <br />times greater than that into spoil; these values were mid- <br />range for reclamation situations. Bulk density of soil <br />Table 1- Selected traits of the four spoil types and of soil <br />used in the plots. <br />Trait <br />pH <br />EC, dS m - ' <br />SAR <br />Zn <br />Fe, µg g <br />B, g" <br />Organic C, g kg ' <br />Sand, g kg <br />Clay, g kg' <br />Kaolinite, g kg' of clay <br />Infiltration, cm h ' <br />Density, Mg <br />Establishment, % <br />Spoil type <br />Generic Sodic Acid Soil -like Soil <br />7.2 8.2 4.0 7.4 7.2 <br />3.91 2.94 2.57 2.81 1.85 <br />3.6 28.4 2.9 0.9 1.4 <br />2.6 2.4 3.0 0.8 0.9 <br />28 21 61 13 9 <br />0.9 0.9 1.7 2.0 0.7 <br />3.4 3.0 10.2 0.7 1.9 <br />28 28 47 22 48 <br />32 28 36 26 21 <br />41 30 38 18 27 <br />2.4 0.4 5.5 3.0 8.9 <br />1.58 1.65 1.52 1.57 1.62 <br />18.3 5.3 17.4 46.7 41.5 <br />