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
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