| Autor: |
Hsin-i Wu, Thomas J. Hatton, Edward J. Rykiel, J. Walker |
| Rok vydání: |
1994 |
| Předmět: |
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| Zdroj: |
Ecological Modelling. 73:97-116 |
| ISSN: |
0304-3800 |
| DOI: |
10.1016/0304-3800(94)90100-7 |
| Popis: |
The integrated rate methodology (IRM) is a method for calculating a plant growth index to estimate the effective relative growth rate from a potential relative growth rate. IRM is a procedure for constructing a single growth multiplier equation that integrates multiple environmental factors affecting plant growth into a number between zero and one. The method can be used to simulate growth dynamically. The IRM framework can be used for both qualitative and quantitative modelling where the growth rate of a given entity or quantity is relevant. There are many applications in biological, economic and engineering areas. Here we develop the methodology in the context of plant growth modelling. We show how to treat multiple factors and how to include interactions. The methodology strikes a compromise between simplicity and complexity for the problem and data at hand, and can easily be used as a component of larger models. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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