Nature Communications (Jun 2022)

Global relationships in tree functional traits

  • Daniel S. Maynard,
  • Lalasia Bialic-Murphy,
  • Constantin M. Zohner,
  • Colin Averill,
  • Johan van den Hoogen,
  • Haozhi Ma,
  • Lidong Mo,
  • Gabriel Reuben Smith,
  • Alicia T. R. Acosta,
  • Isabelle Aubin,
  • Erika Berenguer,
  • Coline C. F. Boonman,
  • Jane A. Catford,
  • Bruno E. L. Cerabolini,
  • Arildo S. Dias,
  • Andrés González-Melo,
  • Peter Hietz,
  • Christopher H. Lusk,
  • Akira S. Mori,
  • Ülo Niinemets,
  • Valério D. Pillar,
  • Bruno X. Pinho,
  • Julieta A. Rosell,
  • Frank M. Schurr,
  • Serge N. Sheremetev,
  • Ana Carolina da Silva,
  • Ênio Sosinski,
  • Peter M. van Bodegom,
  • Evan Weiher,
  • Gerhard Bönisch,
  • Jens Kattge,
  • Thomas W. Crowther

DOI
https://doi.org/10.1038/s41467-022-30888-2
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 12

Abstract

Read online

Understanding patterns in woody plant trait relationships and trade-offs is challenging. Here, by applying machine learning and data imputation methods to a global database of georeferenced trait measurements, the authors unravel key relationships in tree functional traits at the global scale.