Abstract
The paper evaluates three types of temporal design of growth experiments: permanent, temporary and interval. Among the disadvantages of permanent plots are the high costs of the research infrastructure and the long wait for data while temporary plots cannot provide information about the rates of change of state variables. Interval plots, measured twice and spread over a range of growing sites, development stages and silvicultural treatment categories, combine the advantages of the permanent and the temporary designs.
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