Abstract
Computer programs that implement growth and prediction functions, jointly with algorithms for the simulation of silvicultural treatments and user-friendly interfaces, are commonly known as forest simulators. This chapter starts with an example of input/output functions that are typically used in implementation of forest stand simulators. The value of visual, as well as numeric, output is discussed. The second major part of the chapter deals with model evaluation, which may be divided into two categories: qualitative and quantitative (commonly designated model verification and validation, respectively). The logic of the model structure should be evaluated, along with the reasonableness of the predictions. Statistical procedures that are commonly applied to evaluate model bias and precision, modeling efficiency, and tendencies in model error are presented. The chapter continues with a discussion of evaluating models with independent sample data and concludes with remarks on applying growth and yield models.
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Notes
- 1.
The USDA Forest Service stand visualization system (SVS) can be accessed at <www.fs.fed.us/pnw/svs/>
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Burkhart, H.E., Tomé, M. (2012). Model Implementation and Evaluation. In: Modeling Forest Trees and Stands. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3170-9_18
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