Ecologist. Assistant Professor at University of Arizona. Global change. Biodiversity, Phenology, Urban Ecology, Phylogeny. https://www.dlilab.com
"We must actively take on the world as it is, not wait around for a world we wish to be."
"What does it mean for middle powers to live the truth? First it means naming reality..." (🧵1/6)
Reposted by Andreas Richter, Karen R. Lips, Daijiang Li , and 1 more Andreas Richter, Karen R. Lips, Daijiang Li, Benjamin Larue
The long term is sooner than we think. Science-based policies via IPBES are crucial.🌍
Reposted by Daijiang Li
Interested? docs.google.com/forms/d/e/1F...
Reposted by Brian J. Enquist, Julia Koricheva, Garry Peterson , and 21 more Brian J. Enquist, Julia Koricheva, Garry Peterson, Ben Bond‐Lamberty, Mathias Disney, Patrick A. Jansen, Jane K. Hill, Eoin Brodie, Res Altwegg, Tuomas Mattila, Trevor A. Branch, Stephen D. Murphy, Alejandro Ordóñez, Tommaso Jucker, Markus P. Eichhorn, Daijiang Li, Catherine M. Hulshof, Susanne Lachmuth, Vojtěch Brlík, Joan Dudney, Ondřej Mottl, Julen Astigarraga, Guillaume Papuga, Jonas Geschke
Reposted by Ingolf Kühn
Reposted by Brian J. Enquist, Daijiang Li, Jesse M. Alston
Reposted by Daijiang Li, Valeria Mazza
Reposted by Daijiang Li
doi.org/10.1111/gcb....
We built the first soil carbon model that includes microbial eco-evolution using game theory — and found that adaptation could nearly double global soil carbon loss by 2100. Here is how👇(1/7)
Reposted by Daijiang Li
🔗 rdcu.be/ewmqV
#UrbanBiodiversity #Evolution
@nature.com
Reposted by Daijiang Li, Gabriel M. Moulatlet
Reposted by Daijiang Li
Dinnage et al. describe PhenoVision, a new machine learning modelling pipeline utilizing iNaturalist occurrence records and associated field images of plants to enable scalability of phenology data via the automation of flower and fruit annotations 🌸 🍒
🌍 🧪
buff.ly/biapYFR