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BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico.

María Leticia Monge GonzálezPatrick WeigeltNathaly Guerrero-RamírezDylan CravenGonzalo Castillo-CamposThorsten KrömerHolger Kreft
Published in: Biodiversity data journal (2021)
BIOVERA-Tree is a new database comprising data collected in a rigorous sampling design along forest-use intensity and elevational gradients, contributing to our understanding of how interactive effects of forest-use intensity and elevation affect tree diversity, community composition and functional traits in tropical forests.
Keyphrases
  • climate change
  • high intensity
  • healthcare
  • mental health
  • big data
  • machine learning
  • deep learning