Regression Simulation Model. Appendix X. Users Manual,
Abstract
The application of mathematical models to ecological systems is difficult because of the complex interactions between the biological systems and the physical-chemical components of the ecosystems. It is appropriate to state that the biological regimes are strongly affected by their surroundings. It is also appropriate to assume that if given enough time, the biological systems will approach a state of equilibrium with their environment regarding energy flow, population dynamics and nutrient cycling. When observing an ecosystem one can recognize several features which include: (1) Energy traffic with a loss of energy at consecutively higher trophic levels; (2) Interactions between and among populations; and (3) Interactions between populations and their environment. This regression model, then, is mathematically simple and is based on regression relationships determined using empirical data from samples. Several inherent limitations exist in this type of model, however: (1) Limitation in space; (2) Limitation in time; (3) Limitation on ranges of predictor parameters (independent variables); and (4) Inability to predict precise values because the model predicts the 'most probable value.'
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1981
- Accession Number
- ADA098629
Entities
People
- Ronald G. Rada
- Thomas O. Claflin