#AusTraits
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hilaryrosed.bsky.social
Does anyone have specific leaf area (SLA) or leaf mass per area (LMA) measurements for adult leaves of #Eucalyptus pellita or #Corymbia tessellaris that they'd be willing to share with me?

🧪 #PlantTraits #ecophysiology #physiology #WildOz #botany #ecology #AusTraits
November 6, 2025 at 1:20 AM
treewizard.bsky.social
To better understand using R, I converted a tutorial from gambling related, to Dungeons and Dragons themed. Relatability helps me learn. Eventually I managed to output pigment data from Austraits. Phase 2 is a craft project to make plant physiology and taxonomy relatable through storytelling.
March 17, 2025 at 2:56 AM
hilaryrosed.bsky.social
Travis Britton compared trait measurements from #AusTraits in natural conditions to Eucalyptus grown in a common garden and found conserved relationships between N to MAT and wood density + leaf thickness to MAP. Very clever study and good use of existing databases and common gardens.

#ESAus2024
A summary slide showing relationships between N area to mean annual temp and wood density and leaf thickness to mean annual precipitation.
December 12, 2024 at 12:02 AM
fontikar.bsky.social
Come chat with us about AusTraits and other ecology open source software while you wait for your coffee order #ESA2024
December 8, 2024 at 10:56 PM
hsauquet.bsky.social
AusTraits floras workshop at Botanic Gardens of Sydney: so thrilled about how it all went!! We invited reps from each Australian state/territory to discuss how online floras could be expanded to display data from a broad range of traits (including ecological, morphological). #austraits #floras
December 6, 2024 at 2:20 AM
frodsan.bsky.social
4/ AusTraits is one of the best ecological databases I know, and luckily they have now developed an open workflow to build trait databases with full traceability, quality control, etc, using #rstats

doi.org/10.1016/j.ec...
Trait databases have proliferated over the past decades, facilitating research on the ecology, evolution, and conservation of taxa across the Tree of Life. Typically, teams of independent researchers build these databases, and each must develop their own workflow and output structure. This divests research hours from downstream tasks such as trait-based analysis and interpretation and the resultant datasets are often difficult to integrate due to disparate database structures. Here we introduce the {traits.build} R-package, which offers a generalised workflow for building trait databases. {traits.build} contains bespoke functions for propagating metadata files, extensive tutorials, and sample configuration files, allowing researchers to efficiently build a new trait database using open-source tools. In addition, the {traits.build} output structure is fully documented by a data model, ensuring the meaning of each variable and semantic relationship between variables is transparent and consistent. The data standard links to terms in previously published data standards, drawing strongly on DarwinCore and the Ecological Trait-data Standard, but also includes the ability to fully map location and context properties absent from these vocabularies. It is the first published database-building workflow that adheres to the Extensible Observation Ontology. Simultaneously developing a generalised workflow and publishing a data standard for the workflow provides {traits.build} users a straightforward pathway to build a new trait database that achieves the FAIR principles. The meaning of all variables in a {traits.build} database are already documented, allowing further integration with either other {traits.build} databases or indeed any other database with a documented data model. This follows the vision of the Open Traits Network to build trait databases whose data can be easily integrated for further analysis.
November 29, 2024 at 11:01 AM