Tallo: A global tree allometry and crown architecture database

• Autores: Jucker, Tommaso; Fischer, Fabian Jörg; Chave, Jérôme; Coomes, David A.; Caspersen, John; Ali, Arshad; Loubota Panzou, Grace Jopaul; Feldpausch, Ted R.; Falster, Daniel; Usoltsev, Vladimir A.; Peri, Pablo Luis; Xiang, Wenhua
• Año de publicación: 2022
• Idioma: inglés
• Tipo de recurso: artículo
• Fuente: Global Change Biology 28: 5254-5268. (September 2022)
• Materia: Forest Ecology; Remote Sensing; Tree Height; Databases; Ecología Forestal; Canopy; Cubierta de Copas; Teledetección; Altura del Arbol; Bases de Datos; Allometric Scaling; Crown Radius; Forest Biomass Stocks; Stem Diameter; Taxonomic Coverage; Geographical Coverage; Global Work; Escala Alométrica; Radio de la Copa; Existencias de Biomasa Forestal; Diámetro de Tallo; Cobertura Taxonómica; Cobertura Geográfica; Trabajo Global
• Institución: Instituto Nacional de Tecnología Agropecuaria

Data capturing multiple axes of tree size and shape, such as a tree's stem diameter, height and crown size, underpin a wide range of ecological research—from developing and testing theory on forest structure and dynamics, to estimating forest carbon stocks and their uncertainties, and integrating remote sensing imagery into forest monitoring programmes. However, these data can be surprisingly hard to come by, particularly for certain regions of the world and for specific taxonomic groups, posing a real barrier to progress in these fields. To overcome this challenge, we developed the Tallo database, a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. These data were collected at 61,856 globally distributed sites, spanning all major forested and non-forested biomes. The majority of trees in the database are identified to species (88%), and collectively Tallo includes data for 5163 species distributed across 1453 genera and 187 plant families. The database is publicly archived under a CC-BY 4.0 licence and can be access from: https://doi.org/10.5281/zenodo.6637599. To demonstrate its value, here we present three case studies that highlight how the Tallo database can be used to address a range of theoretical and applied questions in ecology—from testing the predictions of metabolic scaling theory, to exploring the limits of tree allometric plasticity along environmental gradients and modelling global variation in maximum attainable tree height. In doing so, we provide a key resource for field ecologists, remote sensing researchers and the modelling community working together to better understand the role that trees play in regulating the terrestrial carbon cycle.
EEA Santa Cruz
Fil: Jucker, Tommaso. University of Bristol. School of Biological Sciences; Reino Unido
Fil: Fischer, Fabian Jörg. University of Bristol. School of Biological Sciences; Reino Unido
Fil: Chave, Jérôme. Laboratoire Évolution et Diversité Biologique (EDB); Francia
Fil: Chave, Jérôme. Université Toulouse; Francia
Fil: Coomes, David A. University of Cambridge. Conservation Research Institute; Reino Unido
Fil: Caspersen, John. University of Toronto. Institute of Forestry and Conservation; Canadá.
Fil: Ali, Arshad. Hebei University. College of Life Sciences. Forest Ecology Research Group; China.
Fil: Loubota Panzou, Grace Jopaul. Université de Liège, Gembloux Agro-Bio Tech; Bélgica
Fil: Loubota Panzou, Grace Jopaul. Université Marien Ngouabi. Faculté des Sciences et Techniques. Laboratoire de Biodiversité, de Gestion des Ecosystèmes et de l'Environnement (LBGE); Republica del Congo
Fil: Feldpausch, Ted R. University of Exeter. College of Life and Environmental Sciences; Reino Unido
Fil: Falster, Daniel. University of New South Wales Sydney. Evolution & Ecology Research Centre; Australia.
Fil: Usoltsev, Vladimir A. Ural State Forest Engineering University. Department of Forestry; Rusia.
Fil: Usoltsev, Vladimir A. Botanical Garden of the Ural Branch of Russian Academy of Sciences. Department of Forest Dynamics; Rusia.
Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.
Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina.
Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Xiang, Wenhua. Central South University of Forestry and Technology. Faculty of Life Science and Technology; China.