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GIS Modeling for Soil Survey: Integrating Ecological and Soil Mapping in Missouri



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GIS Modeling for Soil Survey: Integrating Ecological and Soil Mapping in Missouri


Fred J. Young, Ph.D.NRCS Soil Scientist, Columbia, MO
In a typical Missouri county, most if not all separations among soil map units are based on differences in either landform or geology. Recent improvements in Digital Elevation Models (DEM), combined with modeling efforts among many individuals, now allow for GIS modeling of landforms. These landform maps can be combined with geology data to create “geo-landform” units, which are being used to create Ecological Land Types (ELTs) as part of an ecological classification system for Missouri (Nigh et. al, 2000). By adding expert soils knowledge to the geo-landform model (e.g., Zhu et. al, 1997), a soil map model can be produced, which can then be tested and refined by field soil scientists. The final product will be internally consistent, as well as fully integrated with ecological units. Although soil scientists and ecologists have communicated and collaborated, actual soils and ELT mapping has proceeded independently. The objective of the study presented here was to examine the relationship between recent soil survey and ELT mapping for an area in the Missouri Ozarks.
Recent soils mapping was digitized and combined with ELT mapping via GIS (see the Power Point show on the companion CD for details). Crosstabulation tables were derived, showing the percentages of ELT units in each soil map unit, and vice versa. Two soil map units were selected for detailed analysis. Results indicate strong soil-ELT correlations, as well as significant discrepancies. For example, one ELT “shoulder” unit extends down steep convex nose slopes, into areas mapped as backslope soil map units. Other examples are given in the power point show.
In conclusion, explicit integration of soil and ELT units seems possible, but will not become reality unless soil scientists and ecologists work together to define the underlying geo-landform units. For example, where exactly are “shoulder” units located on maps? Can we define ELT and/or soil phases to help integrate these products? I remain cautiously optimistic about such an integration. Soils and ELTs may not match up line-for-line, but hopefully units will “nest”. There may well be ELT criteria that are not relevant to soil survey purposes, and vice versa, and I do not advocate forcing a soil-ELT fit at any cost. However, we in the National Cooperative Soil Survey need to recognize that other natural resource agencies, including the US Forest Service, are committed to using ecological units in their planning (USDA Forest Service, 1993). The more closely we can integrate soils information with these ecological units, the more likely it is that our soils information will be used.
References

Nigh, T.A., C. Becker, J. Grabner, J. Kabrick and D. Meinert. 2000. An ecological classification system for the Current River Hills subsection. Working Draft Manual. Missouri Department of Conservation. Jefferson City, Mo.

USDA Forest Service. 1993. National hierarchical framework of ecological units. Washington, DC: US Department of Agriculture, ECOMAP. 28pp.

Zhu, A, L. Band, R. Vertessey, and B. Dutton. 1997. Derivation of soil properties using a soil land inference model (SoLIM). Soil Sci. Soc. Am. J. 61:523-533.



Soil Survey Investigations and Soil-Geomorphic Research


Carolyn Olson, National Leader- Soil Survey Investigations, NSSC
These materials were compiled from the Investigations Staff and the few researchers who are still located on other staffs.

1. Geographic distribution of research and assistance provided by the Investigations Staff FY 2001. Geophysical assistance was separated out and displayed on a separate map.






2. Topical Research. This list is composed of research activities that the

researchers are currently involved in. It includes joint projects with NCSS

cooperators.




Expert Systems Techniques

Decision Support Tools

Predictive Models
Geophysics

Electromagnetic-Induction Studies (EMI)

Geophysical Program Initiative

Ground-Penetrating-Radar Studies (GPR)


LTER Studies

Involvement in about half of the

24 current LTER sites

Mineralogy and Weathering

Ashy Soils

Deconvolution of XRD

Information

Eolian Admixtures to Tephra

Minerals and Human Health



Nutrient Cycling

Nitrate, Nitrogen

Soil Phosphorus

Pedogenesis

Paralithic Materials and Soil-

Water Properties

Relict Soils and Weathering

Stable Isotopic Studies

Vertisols/Paleovertisols


Salinity in Soils

Irrigation Canal Seepage in Arid

and Semiarid Areas
Scaling of Data and Prediction of Soil

Properties

Bulk Density Studies

Predicting Soil Resistivity

Rock Fragment Conversions

Soil Erosivity Predictions

Use-Dependent and Use-Invariant Data Integration


Soil Biology

Field Sampling Protocol

Methods Development

Microbial Activity and Biomass

Analysis

Soil Carbon

Assessments

Carbon Storage - No till, CRP

Soil Chemistry

Major and Trace Element Studies



Soil Classification

Andisols Properties

Cascade Range Soils

Diagnostic Features

Remotely-sensed inventories

Soil Climate and Hydraulic Properties

of Soils

Hydrologic Indicators

Small-scale Infiltrometer

Comparisons

Soil Color

Soil Hydrology and Water Movement through Landscape

Soil Moisture Studies

Soil Temperature Studies

Soil-Water Regimes

Wet-Soil Monitoring Projects



Soil Geomorphology

Carolina Bays

Chihuahuan Desert Study

Deep Investigations Studies

Mountainous Terrain Models

Macon Ridge

South-central Iowa Terraces

Southern High Plains - MLRA 77



Soil Health

Urban Soils and Anthropogenic

Impacts

3. Announcements:

a. The pending Memorandum of Agreement with State Geological

Surveys and the NRCS.

b. Request for volunteers to take part in the Task Force to develop

regional course curriculum in soil geomorphology.



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