원문정보
초록
영어
An overview is provided on the past and ongoing efforts aiming at efficient utilization of an extensive empirical data from permanent experiments and monitoring plots in building and validation of forest growth and yield models. First, the properties and suitability of different types of data for different purposes are briefly evaluated. Then, a brief overview to the design, measurements and management of long-term experimental data at Luke is provided with the help of some examples. The main focus is to highlight the role of empirical data in assessing the performance of simulation tools, as well as individual growth and yield models. The validation process heavily depends on the goals set to validation. The goals of growth modelers may be quite different from those of the user of the models. Alternative methods applicable to different types of model evaluation are discussed starting from testing of individual growth functions, analyzing the interaction of sub-models in a simulation system, and finally in assessing the performance of whole simulation system. Finally, some examples of different evaluation methods of models and simulation tools using empirical data are presented.