A new #OpenScience#plant#seed#trait dataset for the flora of #China is now available! The paper was led by Hao-Yu Wang and is available at: https://t.co/iPFRd7FIVT
Bad data is a problem, especially when it informs decisions & is seen as reliable and standardised. We decided that we would look into what informs the IUCN assessments, given that they are the main species indicator for the global biodiversity framework.
https://t.co/rXJMTf5LuD
Looking for animal trait data? The new ZooTraits shiny app helps you find datasets that might be of interest!
The app is available here:
https://t.co/XuJ4ZT6U2T
And the publication is available here:
https://t.co/mitU4sJWNN
#OpenScience#FunctionalTraits@TraitsOpen
Our new paper showing that bootstrapping outperforms community-weighted approaches when estimating trait distributions is out at @MethodsEcolEvol ! By embracing variation, we get closer to the true community distribution and metrics. https://t.co/qDdPZkSKAD
How can we collect large datasets of plant functional traits? Here’s a time lapse of taking one plant through the @BtwnTheFjords and @PFTCourses trait wheel, an efficient system that can be scaled to process thousands of leaves.
#IAmABotanist#ecophysiology
Check out the bilingual blog of our latest
publication, led by @biodemography: the
@mosaicdatabase, out now in
@ScientificData https://t.co/ZbdIXXW8Nl
Spread the love (and data/functionality) please
@Open_Traits @bjenquist @jonesor@OxfordBiology @tommaso_jucker @ZurellLab
New paper alert 🕷️🐟🐜🦍🦎🦀🐦
Bringing light onto the Raunkiæran shortfall: A comprehensive review of traits used in functional animal ecology #OpenAccess
Half of the authors are graduate students, which makes me very happy!
Read the full thread🧶
https://t.co/95wYIW9XEd
Forest canopies can #thermoregulate! Our @PNAS letter shows most layers exhibit #limitedHomethermy, with only the canopy-top exhibiting #megathermy. Canopy-top thermal imaging data are widely reported, but do not accurately quantify canopy-scale behavior. https://t.co/fOV6gDEUEu
Stealing from the (data) rich and giving to the poor: a Robin Hood approach to predict traits for all fishes worldwide! Led by Jim Thorson @NOAAFisheries with @Aurore_Maureaud and others. Now out in @MethodsEcolEvol
https://t.co/myJyyduUVf
Looking for Open Source information related to sustainability (including biodiversity and natural resources, amongst many others)? Check out https://t.co/kd8daxLLiD
Training session in the framework of the EMODnet Biology Phase IV on the feasibility study for recognition of specific ecological traits and sampling devices/methodologies in text https://t.co/r0JlLz0KGJ
Better incentives are needed to reward academic software development https://t.co/XHkWhmQtb3 (or https://t.co/gAws13TcCk if you don't subscribe to NEE)