1997
DOI: 10.1016/s0304-3800(96)01932-1
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Evaluating forest growth models

Abstract: Effective model evaluation is not a single, simple procedure, but comprises several interrelated steps that cannot be separated from each other or from the purpose and process of model construction. We draw attention to several statistical and graphical procedures that may be used both with data used for model calibration and with data used in the evaluation of the model. We emphasize that the validity of conclusions depends on the validity of assumptions. These principles should be kept in mind throughout mod… Show more

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Cited by 350 publications
(200 citation statements)
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References 38 publications
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“…Optimization often reveals weaknesses (Vanclay and Skovsgaard, 1997), and in the present case, was quick to reveal that equation 2 can overestimate for extremes including low (e.g., <100 stems/ha) and high stocking (>10,000 stems/ha) and for heavy thinning (e.g., removing >50% of the stand).…”
Section: Testing the Equationsmentioning
confidence: 58%
See 1 more Smart Citation
“…Optimization often reveals weaknesses (Vanclay and Skovsgaard, 1997), and in the present case, was quick to reveal that equation 2 can overestimate for extremes including low (e.g., <100 stems/ha) and high stocking (>10,000 stems/ha) and for heavy thinning (e.g., removing >50% of the stand).…”
Section: Testing the Equationsmentioning
confidence: 58%
“…Figures 2, 3 and 4 reveal that although imprecise, the equations have relatively little bias in well-stocked stands typically encountered in production forestry. Under these circumstances, many of the usual model evaluation procedures (Vanclay and Skovsgaard, 1997) have limited utility, and the most useful test may be examine the implications of the interaction of these equations in complex situations, such as the optimization of thinning prescriptions.…”
Section: Testing the Equationsmentioning
confidence: 99%
“…Ideally, a newlycollected data set will be available for validation [9,34,41,60]. Due to the scarcity of such data, several methods have been proposed (e.g.…”
Section: Model Comparison and Model Selectionmentioning
confidence: 99%
“…Yet, while necessary, this may be insufficient to achieve credibility with decision makers and other stakeholders. Possibly, a real test of model value is whether stakeholders have sufficient confidence in the model to use it as the basis for making management decisions (Vanclay and Skovsgaard 1997). Figure 2 is representative of the role that science-stakeholders dialogue may play in a comprehensive model evaluation.…”
Section: Deliberative Processes For Comprehensive Model Evaluationmentioning
confidence: 99%