Out today in JAMES!! Parameter Estimation in Land Surface Models: Challenges and Opportunities With Data Assimilation and Machine Learning doi.org/10.1029/2024... led by Nina Raoult, Natalie Douglas, @janasknits.bsky.social, @tquaife.bsky.social, me, and an awesome team of folks in the community 1/2
doi.org
Data assimilation (DA) has been shown to be a powerful tool for reducing land surface model (LSM) parametric uncertainty
Machine learning can facilitate parameter estimation by enhancing computat...
๐ฟThe lab is glad to share a new paper, led by Daniela Dalmonech!
Mediterranean forests can look green and productive from satellite imagery, while trees are actually struggling to grow. Canopy greening masks hidden vulnerability under climate change. ๐ณ@ddalmo.bsky.social
๐ doi.org/10.1016/j.fo...
New study published!
๐Climate change is reshaping European forests, conifers losing ground to broadleaved species. By the end of the century, dominant species could shift dramatically.
๐ณForests aren't just responding to climate change. They're being reshaped by it.
www.nature.com/articles/s43...
Climate-driven shifts in competitive strength show declining dominance of evergreen conifers and rising competitiveness of broadleaved species across Europe, based on a deep-learning meta-model traine...
www.nature.com
New paper! ๐ณ iWUE in a beech forest shows no big differences across silvicultural treatments, but rises ~20% by 2050 under climate change. At this site, climateโnot managementโdrives future iWUE. doi.org/10.1007/s116...
๐ฒ๐ญ๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐ ๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐๐ ๐๐๐๐ ๐๐๐๐๐๐!
A new study shows that in Italian black pine forests, moderate thinning best balances wood production with key ecosystem services like carbon storage, soil protection & recreational value.
Read more๐
link.springer.com/article/10.1...?
Afforestation and reforestation, when aligned with site-specific ecological and socioeconomic conditions, can enhance ecosystem functions and services (ESs). In the Mediterranean, European black pine ...
link.springer.com
We welcome work on ecohydrological & biogeochemical processes under changing land use/cover & climate, including:
๐น Field/lab studies
๐น Remote sensing & drones
๐น Modeling & AI
๐น Digital twins & new EO data
Interdisciplinary studies bridging ecology and hydrology are especially encouraged! ๐ณ
