Objectives and Expected Outputs
||To develop and test a methodology to establish the State
of the Resources to clarify the current "fitness" of the agricultural
resource and to provide "snapshots" of their status for public information.
||A documented methodology for the collection, analysis
and interpretation of soils data (organic carbon, textural class, pH and
carbonates) obtained from selected soil landscape polygons identified
in the Soil Landscapes of Canada, Ontario-South (1:1,000,000). Additionally,
this methodology will be applied to a large portion of southern Ontario
in order to characterize and update the current state of the soil resources
under common management systems. It is anticipated that this methodology
will provide a broad scale State of the Resources reporting tool.
||Open Bid, Industry
||93-94: $35.5 K, 94-95: $42.9 K,
Total: $78.4 K
||Available Fall 1995
The "Soil Landscape of Canada" (SLC) is a consistent and comparable source
of information about soil and land attributes nation wide. It is a large
scale planning tool used to assess land use potential for large areas of
Canada. It maps soil landscape polygons at a scale of 1:1,000,000. The SLC
mapping in southern Ontario is a compilation derived from larger scale,
county level soil survey maps. The soil landscape polygons generally consist
of dominant and subdominant components. The dominant component is mapped
and described in terms of a standard set of attributes considered important
for plant growth, land management, and terrain sensitivity. The attributes
include the mode of deposition, textural group of the parent material, soil
development, surface form and slope class. Additional attributes further
describe the dominant and subdominant components of each SLC polygon. The
full array of attributes are located in a detailed computerized database
available on diskette in ASCII Format. The source for much of the soil and
land attributes contained in the SLC database is the National Soil Data
Base in CanSIS.
The SLC is increasingly being used to make decisions regarding the state
of the soil resources and land use potential at regional, provincial and
national scales. This study assesses the quality of the data contained in
the detailed computerized legend and the map polygons, and develops a methodology
to sample soils in the landscapes that best represent the SLC polygon.
To assess the quality of the SLC database, five soil landscape polygons
in the Regions of Niagara and Haldimand-Norfolk and five in Oxford County
were selected. The SLC description of the soil and land attributes was compared
to the actual soil series mapped in each of the polygons based on their
respective soil survey information. To develop a sampling methodology a
two phased approach was used. First the study developed a sampling methodology
to determine the variability of selected soil attributes within the soil
landscape. Based on these results a methodology to sample soil landscape
polygons that can be applied over a large area of southern Ontario was developed.
Agricultural fields were sampled in a systematic manner, independent of
land use history, which resulted in soil samples and soil attributes that
are representative of the majority of agricultural soils within each of
the SLC polygons.
The study determined that there was very limited correlation between
the major soil attributes (soil development, mode of deposition, and textural
class of the parent material) described by the SLC for the five SLC polygons
studied in Niagara and Haldimand-Norfolk. There was, however, a good correlation
between the SLC polygon descriptions and the Oxford County Soil Survey.
The study also determined that there is significant variability between
the pH and soil organic carbon values within the soil landscape and at different
locations. Based on this information, a sampling methodology was developed
and applied to Oxford County where each of the major soil landscape components
within the SLC polygon was sampled.
The study concluded that the accuracy of the SLC is highly variable.
In some locations the SLC mapping and database correlates well to the detailed
soil data. The use of the SLC mapping and data for large scale planning
purposes would be appropriate in these locations. In other locations the
correlation is poor and may limit the value of the SLC for large scale planning
purposes. Recompilation of the SLC database and mapping may be required
before interpretative decisions can be made depending on the level of accuracy
required for the users objectives. Further, depending on the level of decision
making it may be preferable to use the more detailed soil map information
rather than relying on the SLC.
May 17, 2011 08:01:05 AM