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  • ContentsContents
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  • Article title
  • Abstract
  • Keywords
  • Introduction
  • Methods
    • Description of the study region
    • Remote sensing of vegetation expression and clustering
    • Data cleaning
    • Clustering
    • Random forest models to quantify the determinants of vegetation groups
    • Naming the outputs of the unsupervised classification
    • Comparison to the IUCN Global Ecosystem Typology
  • Results
    • Clustering output
    • Determinants of vegetation type
    • Naming the groups and linking to previous vegetation descriptions
    • Descriptions of the vegetation structural groups
      • Scrubby caatinga
      • Hyper-seasonal caatinga
      • Heterogeneous caatinga
      • Arboreal caatinga
      • Transition caatinga
      • Cerrado
      • Rain forest
      • Unclassified
    • Relating the vegetation groups to the IUCN GET
      • Rain Forest
      • Cerrado
      • Dry forest and shrublands
  • Discussion
    • Seven structural vegetation groups in northeast Brazil
    • Soil and rainfall determine vegetation type
    • Advancing the IUCN Global Ecosystem Typology: a missing EFG?
    • Is the IUCN GET mappable?
  • Conclusion
  • Acknowledgements
  • Author contributions
  • Data accessibility statement
  • References
  • Supplementary material
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