Methods for assessing uncertainty of growth and yield predictions

@inproceedings{Kangas1999MethodsFA,
  title={Methods for assessing uncertainty of growth and yield predictions},
  author={Annika Kangas},
  year={1999}
}
Good estimates of the precision and accuracy of stand growth and yield predictions are needed in the decision-making process. Future growth and yield are often projected with a complex simulation system, so that these assessments are not easy. The precision of long-term growth and yield predictions has often been estimated through Monte Carlo simulation, combining several error sources with different variances. A simple method to assess the uncertainty of stand growth and yield predictions is… CONTINUE READING

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