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100 attendees from 19 countries, including high school, undergraduate, and graduate students, postdocs, professors, are attending the 7th training course, land carbon cycle modeling, for 2 weeks from today. Machine learning and data assimilation are among the subjects of learning

We need more rigorous risk assessment of nature-based climate solutions for forest to support carbon offsets policies and programs, explained by Prof. Anderegg at the University of Utah, who delivered an invited talk today to the 7th training course on land carbon cycle modeling.

Protected soil C has lower temperature sensitivity as revealed from data, which is not well reflected in models as shown by Dr. Georgiou @GeorgiouKat from LLNL to the 7th training course on land carbon modeling. Improving model representation of protected carbon is much needed.

Extremely delighted to share this latest work from #EucFACE. We show microbial competition for phosphorus is strong that plants are getting enough nutrient to support extra biomass growth under elevated CO2. A great team effort and thanks to everybody involved.

Drier and more variable climate in the future leads to reduced primary production and altered species recruitment revealed from mean x variance experiment in New Mexico, shown by Prof. Rudgers jenn rudgers at U of New Mexico. This experiment offers obs to test various theories

Wondering the map of critical SM threshold of plant water stress? Check out our new study Nature Communications today, with Philippe.ciais, Pierre Gentine, WK Smith 🌎, Andrew Feldman, @ArmenKemanian, Paul Stoy, @LabPrentice, dan yakir, @Pdevilselement et al. nature.com/articles/s4146…

Using systematic satellite observations of land surface temperature and SM during soil dry-downs, the spatially-explicit global distribution of the critical SM threshold of plant water stress and its drivers is uncovered. Super grateful to Philippe.ciais

🛰️🌱💧New study using SMOS satellite soil moisture and land surface temperature daily peaks to create the first global map of the soil moisture critical threshold below which plants turn water-stressed ESA Climate Office ESA Earth Observation LSCE IPSL Congrats Zheng Fu & 🙏 to a great team!

Would ecosystems keep respiring more CO2 with climate warming? Most models predict so but data show mostly optimal response curves, revealed by Prof. Niu from IGSNRR, Chinese Academy of Sciences. Using the optimal responses, models predict vastly different climate-carbon feedback

🌳 - How CO2 fertilization in tropical forests is impacted by drought 🌳- does elevated CO2 lets more water to prevent trees from dying ? 🌳 - how tree demography is impacted by CO2 ? Analysis by Yitong.YAO with Emilie Joetzjer Wei LI doi.org/10.5194/esd-15…

How does artificial intelligence, AI, facilitate scientific discovery? That’s an issue explored by Feng Tao Feng Tao 陶鳳 at Cornell U. on SOC storage. He showed how a parameter, gravity, influences his weight on Earth, Moon, and Jupiter. Constraining it leads to prediction convergence

2nd edition of Land Carbon Cycle Modeling offers four techniques, matrix approach, data assimilation, ecological forecasting, and machine learning, to analyze carbon cycle. It has 43 chapters written by 25 authors, including 8 chapters on machine learning. Ebook is free.

1/2 Call for abstracts AGU (American Geophysical Union) 2024 Fall Meeting in DC! With Yiqi Luo Ying Sun @Ana__Bastos & Bailey Murphy, this year we invite disciplinary works to showcase recent #B003 Advances in land carbon cycle modeling 🥳🥳. Submission link: agu.confex.com/agu/agu24/prel…

2/2 Call for abstracts AGU (American Geophysical Union) 2024 Fall Meeting in DC! With Benjamin Z Houlton 🌍 Yuanyuan Huang Yiqi Luo & @vonfromm_sophie , we cordially invite interdisciplinary studies to better understand soils as a solution to climate change @#B093 🥳🥳. Submission link: agu.confex.com/agu/agu24/prel…

🚨New Review! Temperature responses of ecosystem respiration. By Shuli Niu, Liyin Liang,Mary Heskel, Kaizad Patel, Ben Bond-Lamberty, Gab Yvon-Durocher, Owen Atkin, Yiqi Luo, et al. nature.com/articles/s4301… (free: rdcu.be/dN0FE)

Two weeks to go #AGU24‼️ Join with our invited speakers Jennifer Holm and Elchin to discuss exciting advances in land carbon modeling! Abstract submission link 👇

Two weeks to go #AGU24‼️ Join with our invited speakers @GeorgiouKat and Francesca Cotrufo to share your insights in soil as a potential solution to climate change! Abstract submission link 👇

The promise of #CarbonNeutrality: Where do we stand with new and old technologies? What does it take to achieve carbon neutrality in China and Germany? V. Grimm and O. Edenhofer among others, discussed this in yesterday's session at the #ScienceForFuture conference.

Accepting applications for the 8th Training Course on New Advances in Land Carbon Cycle Modeling to be held on June 2-13, 2025. Topics cover new theory on land carbon dynamics, matrix approach to carbon cycle modeling, data assimilation, machine learning, ecological forecasting.