GFBI Global Forest Inventory Data Viewer

How to search, explore and download data in the viewer?

Note: This the plot-level GFBI data set (v.1) underlying Liang et al. 2016. For tree-level data, or the plot-level GFBI data set (v.2) underlying the newest publications, including Steidinger et al. 2019, please submit a GFBI data inquiry. All inquiries will be evaluated based on scientific merits and alignment with GFBI mission.



Global Forest Biodiversity Initiative (GFBI)- Dataset Global#1. Data underpinning the Research Article entitled Positive Biodiversity–Productivity Relationship Predominant in Global Forests


Liang, J., T. W. Crowther, N. Picard, S. Wiser, M. Zhou, G. Alberti, E.-D. Schulze, A. D. McGuire, F. Bozzato, H. Pretzsch, S. de-Miguel, A. Paquette, B. Hérault, M. Scherer-Lorenzen, C. B. Barrett, H. B. Glick, G. M. Hengeveld, G.-J. Nabuurs, S. Pfautsch, H. Viana, A. C. Vibrans, C. Ammer, P. Schall, D. Verbyla, N. Tchebakova, M. Fischer, J. V. Watson, H. Y. H. Chen, X. Lei, M.-J. Schelhaas, H. Lu, D. Gianelle, E. I. Parfenova, C. Salas, E. Lee, B. Lee, H. S. Kim, H. Bruelheide, D. A. Coomes, D. Piotto, T. Sunderland, B. Schmid, S. Gourlet-Fleury, B. Sonké, R. Tavani, J. Zhu, S. Brandl, J. Vayreda, F. Kitahara, E. B. Searle, V. J. Neldner, M. R. Ngugi, C. Baraloto, L. Frizzera, R. Bałazy, J. Oleksyn, T. Zawiła-Niedźwiecki, O. Bouriaud, F. Bussotti, L. Finér, B. Jaroszewicz, T. Jucker, F. Valladares, A. M. Jagodzinski, P. L. Peri, C. Gonmadje, W. Marthy, T. O’Brien, E. H. Martin, A. R. Marshall, F. Rovero, R. Bitariho, P. A. Niklaus, P. Alvarez-Loayza, N. Chamuya, R. Valencia, F. Mortier, V. Wortel, N. L. Engone-Obiang, L. V. Ferreira, D. E. Odeke, R. M. Vasquez, S. L. Lewis, and P. B. Reich. 2016. Positive biodiversity-productivity relationship predominant in global forests. Science 354.DOI: 10.1126/science.aaf8957

Header Definition and Units: See Table 1 of the citation above

Geographic distribution:


Data Use Policy:

  1. 1. GFBI reserves all the rights pertaining to these data;
  2. Prior to any use of part of or the entire data set, one must fill out the accompanied Data Use Agreement and email the signed form to
  3. The New Zealand sub-dataset are not included. Please contact for details
  4. The plot coordinates are rounded off to a single decimal place. To download the data set with the original plot coordinates, visit:


The Digital Environment for Enabling Data-driven Science (DEEDS) is an open platform that provides services to view, search, explore and download research datasets through interactive interfaces that make file repositories and data tables publicly accessible with full metadata. DEEDS also provides services for building research datasets with support for contributing data, computing tools, and analyses by authorized collaborators. The DEEDS Project is funded by National Science Foundation CIF21 DIBBs: EI: #1724728.