Uncertainty assessment of large-scale forest growth predictions based on a transition-matrix model in Catalonia

@article{Fortin2016UncertaintyAO,
  title={Uncertainty assessment of large-scale forest growth predictions based on a transition-matrix model in Catalonia},
  author={Mathieu Fortin and Nicolas Robert and Rub{\'e}n Manso},
  journal={Annals of Forest Science},
  year={2016},
  volume={73},
  pages={871-883}
}
When predicting forest growth at a regional or national level, uncertainty arises from the sampling and the prediction model. Using a transition-matrix model, we made predictions for the whole Catalonian forest over an 11-year interval. It turned out that the sampling was the major source of uncertainty and accounted for at least 60 % of the total uncertainty. With the development of new policies to mitigate global warming and to protect biodiversity, there is a growing interest in large-scale… CONTINUE READING
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