Abstract
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.
Original language | English |
---|---|
Pages (from-to) | 5254-5268 |
Number of pages | 15 |
Journal | Global change biology |
Volume | 28 |
Issue number | 17 |
Early online date | 28 Jun 2022 |
DOIs | |
Publication status | Published - Sept 2022 |
Keywords
- allometric scaling
- crown radius
- forest biomass stocks
- forest ecology
- remote sensing
- stem diameter
- tree height
- ITC-ISI-JOURNAL-ARTICLE
- ITC-HYBRID
Access to Document
- 10.1111/gcb.16302Licence: CC BY
- Global Change Biology - 2022 - Jucker - Tallo A global tree allometry and crown architecture databaseFinal published version, 4.66 MBLicence: CC BY
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In: Global change biology, Vol. 28, No. 17, 09.2022, p. 5254-5268.
Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Tallo
T2 - A global tree allometry and crown architecture database
AU - Jucker, Tommaso
AU - Fischer, Fabian Jörg
AU - Chave, Jérôme
AU - Coomes, David A.
AU - Caspersen, John
AU - Ali, Arshad
AU - Loubota Panzou, Grace Jopaul
AU - Feldpausch, Ted R.
AU - Falster, Daniel
AU - Usoltsev, Vladimir A.
AU - Adu-Bredu, Stephen
AU - Alves, Luciana F.
AU - Aminpour, Mohammad
AU - Angoboy, Ilondea B.
AU - Anten, Niels P.R.
AU - Antin, Cécile
AU - Askari, Yousef
AU - Muñoz, Rodrigo
AU - Ayyappan, Narayanan
AU - Balvanera, Patricia
AU - Banin, Lindsay
AU - Barbier, Nicolas
AU - Battles, John J.
AU - Beeckman, Hans
AU - Bocko, Yannick E.
AU - Bond-Lamberty, Ben
AU - Bongers, Frans
AU - Bowers, Samuel
AU - Brade, Thomas
AU - van Breugel, Michiel
AU - Chantrain, Arthur
AU - Chaudhary, Rajeev
AU - Dai, Jingyu
AU - Dalponte, Michele
AU - Dimobe, Kangbéni
AU - Domec, Jean Christophe
AU - Doucet, Jean Louis
AU - Duursma, Remko A.
AU - Enríquez, Moisés
AU - van Ewijk, Karin Y.
AU - Farfán-Rios, William
AU - Fayolle, Adeline
AU - Forni, Eric
AU - Forrester, David I.
AU - Gilani, Hammad
AU - Godlee, John L.
AU - Gourlet-Fleury, Sylvie
AU - Haeni, Matthias
AU - Hall, Jefferson S.
AU - He, Jie Kun
AU - Hemp, Andreas
AU - Hernández-Stefanoni, José L.
AU - Higgins, Steven I.
AU - Holdaway, Robert J.
AU - Hussain, Kiramat
AU - Hutley, Lindsay B.
AU - Ichie, Tomoaki
AU - Iida, Yoshiko
AU - Jiang, Hai sheng
AU - Joshi, Puspa Raj
AU - Kaboli, Hasan
AU - Larsary, Maryam Kazempour
AU - Kenzo, Tanaka
AU - Kloeppel, Brian D.
AU - Kohyama, Takashi
AU - Kunwar, Suwash
AU - Kuyah, Shem
AU - Kvasnica, Jakub
AU - Lin, Siliang
AU - Lines, Emily R.
AU - Liu, Hongyan
AU - Lorimer, Craig
AU - Loumeto, Jean Joël
AU - Malhi, Yadvinder
AU - Marshall, Peter L.
AU - Mattsson, Eskil
AU - Matula, Radim
AU - Meave, Jorge A.
AU - Mensah, Sylvanus
AU - Mi, Xiangcheng
AU - Momo, Stéphane
AU - Moncrieff, Glenn R.
AU - Mora, Francisco
AU - Nissanka, Sarath P.
AU - O'Hara, Kevin L.
AU - Pearce, Steven
AU - Pelissier, Raphaël
AU - Peri, Pablo L.
AU - Ploton, Pierre
AU - Poorter, Lourens
AU - Pour, Mohsen Javanmiri
AU - Pourbabaei, Hassan
AU - Dupuy-Rada, Juan Manuel
AU - Ribeiro, Sabina C.
AU - Ryan, Casey
AU - Sanaei, Anvar
AU - Sanger, Jennifer
AU - Schlund, M.
AU - Sellan, Giacomo
AU - Shenkin, Alexander
AU - Sonké, Bonaventure
AU - Sterck, Frank J.
AU - Svátek, Martin
AU - Takagi, Kentaro
AU - Trugman, Anna T.
AU - Ullah, Farman
AU - Vadeboncoeur, Matthew A.
AU - Valipour, Ahmad
AU - Vanderwel, Mark C.
AU - Vovides, Alejandra G.
AU - Wang, Weiwei
AU - Wang, Li Qiu
AU - Wirth, Christian
AU - Woods, Murray
AU - Xiang, Wenhua
AU - Ximenes, Fabiano de Aquino
AU - Xu, Yaozhan
AU - Yamada, Toshihiro
AU - Zavala, Miguel A.
N1 - Funding Information: We are indebted to the countless researchers and field assistants who helped collect the field data compiled in the database and without whom this work would not have been possible. T.J. was supported by a UK NERC Independent Research Fellowship (grant: NE/S01537X/1). J.Ch. acknowledges an ‘Investissement d'Avenir’ grant managed by the Agence Nationale de la Recherche (CEBA grant: ANR‐10‐LABX‐25‐01 and TULIP grant: ANR‐10‐LABX‐0041). A.A. is currently supported by Hebei University (grant: 521100221033) and was previously supported by the Jiangsu Science and Technology Special Project (grant: BX2019084) and Metasequoia Faculty Research Startup Funding at Nanjing Forestry University (grant: 163010230). G.J.L.P. was supported by projects DynAfFor (grant: CZZ1636.01D) and P3FAC (grant: CZZ1636.02D) and by the International Foundation for Science (grant: D/5822‐1). T.R.F. was funded by NERC (grant: NE/N011570/1). L.F.A was supported by CAPES and ABC‐CNPq (grant: 004/96). B.B.L. was supported by COMPASS‐FME, a multi‐institutional project supported by the U.S. Department of Energy, Office of Science, Biological and Environmental Research as part of the Environmental System Science Program. M.v.B. acknowledges funding from the Agua Salud Project, a collaboration between the Smithsonian Tropical Research Institute (STRI), the Panama Canal Authority (ACP) and the Ministry of the Environment of Panama (MiAmbiente), the Smithsonian Institution Forest Global Earth Observatory (ForestGEO), Heising‐Simons Foundation, HSBC Climate Partnership, Stanley Motta, Small World Institute Fund, Frank and Kristin Levinson, the Hoch family, the U Trust, the Working Land and Seascapes Program of the Smithsonian, the National Science Foundation (grant: EAR‐1360391), Singapore's Ministry of Education and Yale–NUS College (grant: IG16‐LR004). J.D. and H.L. were supported by the National Natural Science Foundation of China (grants: 41790422 and 42161144008). K.D. was supported by the African Forest Forum, and the DAAD within the framework of ClimapAfrica (Climate Research for Alumni and Postdocs in Africa) with funds of the Federal Ministry of Education and Research of Germany (grant: 91785431). E.R.L. was supported by a UKRI Future Leaders Fellowship (grant: MR/T019832/1). E.M. was supported by Swedish Energy Agency (grant: 35586‐1). J.A.M. was supported by Consejo Nacional de Ciencia y Tecnología (CONACYT; grant: CB‐2009‐01‐128136) and Universidad Nacional Autónoma de México (DGAPA‐PAPIIT; grants: IN218416 and IN217620). J.M.D‐. acknowledges funding from Reinforcing REDD+ and the South–South Cooperation Project, CONAFOR and USFS. S.C.R. acknowledges funding from FAPEMIG (grant: CAG2327‐07), DAAD/CAPES and CNPq. G.S. acknowledges funding by Manchester Metropolitan University's Environmental Science Research Centre. M.S. was funded by a grant from the Ministry of Education, Youth and Sports of the Czech Republic (grant: INTER‐TRANSFER LTT19018). A.T.T. acknowledges funding from the NSF (grant: 2003205). M.A.Z. thanks the MAPA‐Spain for granting access to the Spanish Forest Inventory data. We thank Prof Kristina Anderson‐Teixeira, Dr Anping Chen and an anonymous reviewer for their feedback which helped us improve our paper. Dr Abd Rahman Kassim, who contributed data to this project, sadly passed away before this paper was completed. Tallo Publisher Copyright: © 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
PY - 2022/9
Y1 - 2022/9
N2 - 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.
AB - 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.
KW - allometric scaling
KW - crown radius
KW - forest biomass stocks
KW - forest ecology
KW - remote sensing
KW - stem diameter
KW - tree height
KW - ITC-ISI-JOURNAL-ARTICLE
KW - ITC-HYBRID
UR - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2022/isi/schlund_tal.pdf
U2 - 10.1111/gcb.16302
DO - 10.1111/gcb.16302
M3 - Article
AN - SCOPUS:85132878965
SN - 1354-1013
VL - 28
SP - 5254
EP - 5268
JO - Global change biology
JF - Global change biology
IS - 17
ER -