AusTraits, a curated plant trait database for the Australian flora.
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Author(s)
Type
Journal Article
Abstract
We introduce the AusTraits database - a compilation of values of plant traits for taxa in the
Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across
28640 taxa from field campaigns, published literature, taxonomic monographs, and
individual taxon descriptions. Traits vary in scope from physiological measures of
performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological
attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological
variation. AusTraits contains curated and harmonised individual- and species-level
measurements coupled to, where available, contextual information on site properties and
experimental conditions. This article provides information on version 3.0.2 of AusTraits
which contains data for 997808 trait-by-taxon combinations. We envision AusTraits as an
ongoing collaborative initiative for easily archiving and sharing trait data and also provides
a template for other national or regional initiatives globally to fill persistent gaps in trait
knowledge.
Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across
28640 taxa from field campaigns, published literature, taxonomic monographs, and
individual taxon descriptions. Traits vary in scope from physiological measures of
performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological
attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological
variation. AusTraits contains curated and harmonised individual- and species-level
measurements coupled to, where available, contextual information on site properties and
experimental conditions. This article provides information on version 3.0.2 of AusTraits
which contains data for 997808 trait-by-taxon combinations. We envision AusTraits as an
ongoing collaborative initiative for easily archiving and sharing trait data and also provides
a template for other national or regional initiatives globally to fill persistent gaps in trait
knowledge.
Date Issued
2021-09-30
Date Acceptance
2021-08-05
Citation
Scientific Data, 2021, 8 (254), pp.1-20
ISSN
2052-4463
Publisher
Nature Research
Start Page
1
End Page
20
Journal / Book Title
Scientific Data
Volume
8
Issue
254
Copyright Statement
© The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
https://www.nature.com/articles/s41597-021-01006-6
Publication Status
Published
Date Publish Online
2021-09-30