Even better, we created the backend for an online tool for users to upload their own pictures of eagles to get predictions for the behaviour, species, and age!
My recent paper is just published!
Leaf Nmass and C:N variations can be simulated using eco-evolutionary optimality principles, which suggests another route to improve nitrogen cycling in land surface models!
Really appreciate help from @WangHanSci @LabPrentice @SandyHarrisonRe
Are leaf temperatures actively regulated?
Optimally balancing carbon gain vs water loss of leaves predicts a pattern of "Limited Homeothermy".
Read more about it in @padasch_ 's blog and worked example.
https://t.co/VZtItw6h7P
https://t.co/XKWwUsrXbw
#Dataset The Monthly Aggregated Water Vapor Dataset covers a 23 years timespan. It offers data for water cycle modeling, climate modeling, and land cover mapping. It can be used in studies of water resources, agricultural planning, and climate adaptation💧https://t.co/4hUt2GZOB0
If you are interested in "phenology drivers", we (@Y_Vitasse ,@xuanlongma, @Lynspafford, Andrew Richardson, and me) sincerely invite you to submit abstracts to our AGU session😀:
B089 - Underrepresented Drivers of Plant Phenology: Beyond Climate( https://t.co/yBt2Se64D0)
🌳Excited to share our new preprint in which we unravel the intricate eco-evolutionary dynamics of the Amazon Rainforest in response to elevated CO2 concentrations.
👇🏽Expand this thread to dive into our findings!
https://t.co/3L0VfISeWg
Very happy to pass my doctoral defense. It has been really a wonderful experience at ETH Zurich in the last three years. Many thanks to my supervisor @NinaBuchmann1 @SteniBocker @LabPrentice and examiner @RossGuerrieri