Soil, water, and climatic classification systems are reviewed as
background for the construction of a classification system for earthen
aquaculture ponds. The physical and chemical properties of important
soil types are also reviewed because of the critical role that the
soil plays in earthen pond systems. A pond classification system is
constructed using key elements from established climate, water, and
soil classification systems, and its use as a management tool is
demonstrated. Additional benefits of pond classification are
discussed.
Functional relationships pertaining to a particular management
practice--the application of lime--are examined for seven classes of
acid soils. Theoretical and empirical models of pH-percent base
saturation relationships are evaluated using data from United States
soils. Selected models are partially validated using an independent
set of data and incorporated into a lime requirement determination
model. A table of lime requirement estimates based on initial soil pH
values is calculated for each soil class.
Partial validation of the classification system is achieved by
ANOVA for the cation exchange capacities of the soils, by fitting the
selected pH-percent base saturation models to data from an independent
source, and by comparison of the estimated lime requirements with
previously published guidelines. Possible reasons for weaknesses in
the classification system, the pH-percent base saturation models, or
the approach to lime requirement determination are explored, and areas
requiring further research are identified. Additional uses and
benefits, and further validation and refinement of the classification
system are discussed. It is concluded that the proposed
classification is a good first approximation that provides a basis for
further work. / Graduation date: 1992
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/36749 |
| Date | 09 January 1992 |
| Creators | Bowman, James R. |
| Contributors | Lannan, James E. |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
Page generated in 0.0019 seconds