학술논문
Global relationships in tree functional traits
Document Type
article
Author
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
Source
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Subject
Language
English
ISSN
2041-1723
Abstract
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.