Tallo: A global tree allometry and crown architecture database
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F22%3A43921637" target="_blank" >RIV/62156489:43410/22:43921637 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41320/22:94222
Result on the web
<a href="https://doi.org/10.1111/gcb.16302" target="_blank" >https://doi.org/10.1111/gcb.16302</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/gcb.16302" target="_blank" >10.1111/gcb.16302</a>
Alternative languages
Result language
angličtina
Original language name
Tallo: A global tree allometry and crown architecture database
Original language description
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 programs. 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 5,163 species distributed across 1,453 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40102 - Forestry
Result continuities
Project
<a href="/en/project/LTT19018" target="_blank" >LTT19018: Participation of the Czech Republic in the GEM network</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Global Change Biology
ISSN
1354-1013
e-ISSN
1365-2486
Volume of the periodical
28
Issue of the periodical within the volume
17
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
5254-5268
UT code for WoS article
000817114300001
EID of the result in the Scopus database
2-s2.0-85132878965