TRY plant trait database - enhanced coverage and open access
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F20%3A43901079" target="_blank" >RIV/60076658:12310/20:43901079 - isvavai.cz</a>
Alternative codes found
RIV/67985939:_____/20:00525365 RIV/86652079:_____/20:00525365 RIV/60460709:41320/20:80469 RIV/00216224:14310/20:00115347 RIV/00216208:11310/20:10422348
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/gcb.14904" target="_blank" >https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/gcb.14904</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/gcb.14904" target="_blank" >10.1111/gcb.14904</a>
Alternative languages
Result language
angličtina
Original language name
TRY plant trait database - enhanced coverage and open access
Original language description
Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
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
10611 - Plant sciences, botany
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
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
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Volume of the periodical
26
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
70
Pages from-to
119-188
UT code for WoS article
000504934700001
EID of the result in the Scopus database
2-s2.0-85075196338