Bibliographic Details
| Title: |
Global relationships in tree functional traits |
| Authors: |
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) |
| Publisher Information: |
Nature Portfolio, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Science |
| Subject Terms: |
Science |
| More Details: |
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. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2041-1723 |
| Relation: |
https://doaj.org/toc/2041-1723 |
| DOI: |
10.1038/s41467-022-30888-2 |
| Access URL: |
https://doaj.org/article/eae734ba19874ab39ab9e8bf37f3a395 |
| Accession Number: |
edsdoj.734ba19874ab39ab9e8bf37f3a395 |
| Database: |
Directory of Open Access Journals |
