Adapting Douglas-fir forestry in Central Europe: evaluation, application, and uncertainty analysis of a genetically based model

@article{Chakraborty2016AdaptingDF,
  title={Adapting Douglas-fir forestry in Central Europe: evaluation, application, and uncertainty analysis of a genetically based model},
  author={Debojyoti Chakraborty and Tongli Wang and Konrad Andre and Monika Konnert and Manfred J. Lexer and Christoph Matulla and Lambert Wei\ssenbacher and Silvio Schueler},
  journal={European Journal of Forest Research},
  year={2016},
  volume={135},
  pages={919-936}
}
Recommendations on suitable seed sources for reforestation are usually model based and include uncertainties arising from model assumptions, parameter estimation, and future climate scenarios. Due to the long-lived nature of forests, such uncertainties need to be considered when developing guidance for managers and policy makers. We evaluate the uncertainties and apply our recently developed genetically based models, Universal Response Functions (URFs) in Austria and Germany. The URFs predict… CONTINUE READING
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