Biomechanical effects, lithological variations, and local pedodiversity in some forest soils of Arkansas
Introduction
Spatial variability of soils has long been recognized as a crucial issue in a variety of practical contexts and is emerging as a key concern in the geosciences. Because soils reflect the interacting influences of geology, climate, hydrology, geomorphic processes, and the biosphere, the understanding and interpretation of soil patterns and variability is of concern in the use of paleosols to reconstruct environmental change, and in comprehending contemporary earth surface systems. The value of spatial analysis of the soil cover in relation to environmental constraints on soil formation, soil processes and evolution, and the architecture of the environment has been amply demonstrated Fridland, 1976, Grzebyk and Dubrucq, 1994, Hole and Campbell, 1985, Ibañez, 1994, Ibañez et al., 1990, Ibañez et al., 1995, Ibañez et al., 1998, McBratney, 1992, McBratney, 1998.
A high degree of soil variability over short distances and small areas is common. This variability is sometimes, but not always, related to readily observed variations in soil-forming factors. Even when variability is related to (for instance) microtopography or tree throw, which are incorporated in the factors of soil formation conceptual framework, it may occur at a spatial scale which is too fine for typical applications of the soil-landscape model and the soil survey paradigm. While variation in individual soil chemical and physical properties is increasingly measured at very detailed spatial scales, variation in soils themselves (pedodiversity) is primarily treated at the scale of 1:10,000 or smaller soil maps.
Soils are influenced by multiple interrelated environmental factors. They may also include relic or inherited properties unrelated to contemporary environmental controls. Further, pedogenesis may sometimes be convergent, so that variations in environmental factors are reduced and obscured, and sometimes divergent, exaggerating the effects of minor initial variations or disturbances. Thus, even without consideration of the technical and practical problems of measurement and observation of environmental variability, linking soil variability to variations in vegetation, topography, hydrology, etc.—and vice versa—is no simple matter.
The purpose of this paper is to investigate the potential role of several factors, including biomechanical effects of trees, lithological variations in parent material, and microtopography in determining soil spatial variability in the Ouachita Mountains of Arkansas. This arose as a consequence of our observations of a great deal of soil variability at our study sites over small areas, which seemed to suggest a potential role for the effects of individual trees and microtopography. The criteria used to distinguish among the soils in the study area are morphological properties that would be influenced primarily by biomechanical (rather than biochemical or hydrological) effects of trees, thus we focus on this possibility. The importance of lithological variations emerged as the study progressed.
We were also interested in the relative importance of readily observable and measurable variations in soil-forming factors (for example, differences in topographic setting or parent material) in determining soil spatial variability, versus variations attributable to the unstable persistence and growth of minor variations in initial conditions or small disturbances. Several studies have suggested or demonstrated that dynamical instability and deterministic chaos can contribute to local-scale soil variability Culling, 1988, Ibañez, 1994, Liebens and Schaetzl, 1997, Minasny and McBratney, 1999, Phillips, 1998, Phillips, 1999, Phillips, 2001, Phillips et al., 1996, Webster, 2000. Instability and chaos leads to divergent soil development whereby small variations and perturbations persist and become exaggerated over time, rather than convergent development characterized by the muting of variations. The latter is an issue because, if effects of individual trees are invoked as a cause of the observed spatial pattern of soils, then the pedologic impacts of the trees must persist much longer than the trees themselves. Likewise, centimeter-scale microtopographic variation must involve some divergence from initial conditions to lead to morphologically distinct soil profiles at scales an order of magnitude or more broader.
The concern here is with soil morphology and soil stratigraphy rather than soil characteristics which tend to be fast-reacting and transient, such as nutrient status, organic matter, carbon, or pH. The latter are quite important, but this study is concerned with soil changes which would be relevant to soil mapping, the evolution of soils and regolith covers, and efforts to detect or reconstruct past vegetation boundaries based on soil properties. Thus the focus is on characteristics such as soil thickness, presence and thickness of master horizons, drainage status as indicated by redox features, the content and distribution of rock fragments, and the presence or absence of specific pedogenic features. Differences in these factors give rise to variation in soil taxa within the study area. Accordingly, the primary concern is pedodiversity—that is, the richness and variability of soils—as opposed to the variability of specific soil attributes.
While classification of soils, mapping of soil types, and analysis of the spatial patterns thereof is quite routine in practical applications of pedology and soil geography, and among many researchers, it must be acknowledged that not all soil scientists are comfortable with the basic idea that there exist qualitatively, categorically different types of soil that can be so identified and classified in a way analagous to biological taxonomy. In this view analysis of soil maps or of data on spatial distributions of soil types is of little value; rather the analysis should be based on specific soil features and characteristics such as nitrogen content, pH, or depth. This study is based on the premise that it is reasonable to identify qualitatively different types of soil, and that the analysis of the variability of these entities provides insight not obtainable from the analysis of separate soil properties. This is based on three assertions. First, soil classifications integrate the effects of a number of specific soil properties and are thus more comprehensive indicators of soil variability. Second, soil classification, while clearly imperfect and sometimes arbitrary, is a systematic, rule-based technique for grouping similar and distinguishing among dissimilar soils in a way that numerical values of soil properties cannot. Third, we believe the record and tradition of this type of analysis has produced scientifically useful and practically relevant results that clearly legitimize it (e.g., Beckett and Bie, 1978, Bregt et al., 1992, Fridland, 1976, Grzebyk and Dubrucq, 1994; Guo et al., 2003; Hole and Campbell, 1985, Ibañez et al., 1995, Ibañez et al., 1998). We also believe this reasoning applies more generally to factors such as lithologies and vegetation communities, which may be similarly imperfectly and sometimes arbitrarily classified. In short, this work is based on the premise that there is value in studying the spatial structure of the soil cover.
Section snippets
Forest soil variability
It is not unusual for detailed mapping and measurements to reveal extensive variability of soils over small areas and short distances (e.g., Campbell, 1979, Campbell and Edmonds, 1984, Culling, 1986, Culling, 1988, Oliver and Webster, 1986, Phillips, 1997, Webster, 2000). Variability of forest soils may be even greater than that of otherwise similar non-forest soil. For example, a high degree of local variability in soil chemistry (pH, Ca, Mg, and N contents, and litter mass) was documented by
Field methods
The sample design was hierarchical, and partly dictated by a broader study of the silvicultural, ecological, and pedological effects of forest management and ecosystem restoration practices. Two areas were delineated, representing treatment and untreated control areas where the Forest Service is seeking to restore the shortleaf pine–bluestem communities, though all were of the mixed pine–hardwood community type at the time of sampling, which occurred prior to prescribed burns. Five circular
Soil diversity
Of the 19 recognized soil series identified prior to fieldwork as possibly occurring at the study sites, 15 were observed in the sample pits. In addition, 4 variations were found that were morphologically distinct from the recognized series but taxonomically inconsistent with any of them. These were recorded as variations or taxadjuncts of recognized series or simply classified at higher levels of soil taxonomy (Table 2). Most of the soils are Hapludults. The typical study area soil is
Discussion
There is a high degree of spatial variability of soil types in the Ouachita study sites. The richness–area analysis indicates that local, within-plot sources of pedodiversity are more important than broader-scale, between-plot sources. Differences among the 16 plots in general topography (slope and aspect), vegetation cover, site history, and parent material contribute less to soil diversity than variation within the plots. Given the overall general homogeneity within plots, the most likely
Conclusions
Pedodiversity as reflected in soil richness is high on side slopes of the Ouachita Mountains, Arkansas, with contrasting soil series occurring in close proximity, and considerable variation over short distances and small areas. The spatial pattern of soil diversity initially suggested the possibility that effects of individual trees and microtopography could be the major controls of soil variation. Richness–area analysis shows that pedodiversity is dominated by local, intrinsic (within-plot)
Acknowledgements
This project was supported by U.S.D.A. Forest Service Cooperative grant SRS 01-CA-11330124-516. We thank Ken Luckow, Jan Emerson, J. Swafford, Eric Swafford, Greg Swafford, J. Grant Barber, Raymond McGrath, Freddie Woodral, and Thomas Dozier of the Forest Service for their assistance. Kristin Adams, Linda Martin, Zach Musselman, Alice Turkington, and Taro Futamura of the University of Kentucky assisted in fieldwork, and Musselman and Nate Phillips in laboratory analyses.
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