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Predictability and transferability of local biodiversity environment relationships.

Martin Jung
Published in: PeerJ (2022)
I found that prediction errors can be substantial, with error magnitudes varying between different biodiversity measures, taxonomic groups, sampling techniques and types of environmental heterogeneity characterizations. And although errors associated with model predictability were in many cases relatively low, these results question-particular for transferability-our capability to accurately predict and project local biodiversity measures based on environmental heterogeneity. I make the case that future predictions should be evaluated based on their accuracy and inherent uncertainty, and ecological theories be tested against whether we are able to make accurate predictions from local biodiversity data.
Keyphrases
  • human health
  • single cell
  • patient safety
  • adverse drug
  • quality improvement
  • electronic health record
  • risk assessment
  • life cycle
  • current status
  • emergency department
  • mass spectrometry
  • deep learning
  • data analysis