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Classifying development stages of primeval European beech forests: is clustering a useful tool?

Jonas GlatthornEike FeldmannVath TabakuChristoph LeuschnerPeter Meyer
Published in: BMC ecology (2018)
Our results imply that forest development takes place on a continuous scale and that discrimination between development stages in primeval beech forests is splitting continuous datasets at selected thresholds. For the analysis of the forest development cycle, direct quantification of relevant structural features or processes might be more appropriate than classification. If, however, the study design demands classification, our results can justify the application of conventional forest development stage classification schemes rather than clustering.
Keyphrases
  • climate change
  • machine learning
  • deep learning
  • rna seq