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Climate data and flowering times for 450 species from 1844 deepen the record of phenological change in southern Germany.

Susanne S RennerMarkus WescheConstantin M Zohner
Published in: American journal of botany (2021)
Future studies might use the 1844 flowering data made available here as a source of information on the availability of particular flowers for specialized pollinators including insects looking for oviposition sites, such as the Psychoda flies that become trapped in Arum inflorescences. Another use of Martius's 1844 data would be their incorporation into larger-scale analyses of flowering in southern-central Europe.
Keyphrases
  • electronic health record
  • big data
  • arabidopsis thaliana
  • palliative care
  • climate change
  • healthcare
  • machine learning
  • data analysis
  • current status
  • aedes aegypti
  • deep learning
  • artificial intelligence