@clechartre.bsky.social
(she/her) PhD Candidate in Dynamic Macroecology @ WSL and ETH Zürich l climate impact on biome distribution
🗾The poster sessions at #TIBS2026 are a great opportunity to exchange results and ideas, and to meet new people. We enjoy the interaction and atmosphere. And we will leave with a rich set of new ideas and connections.🚀
#Biogeography #Macroecology #Biodiversity #CHELSA
@wslresearch.bsky.social
It was great to meet so many other Early Career Researchers at our #TIBS2026 mixer last night - both catching up with old friends and meeting new ones.
To celebrate all the ECR Biogeographers, we have created a starter pack so you can follow all the exciting work being done:
go.bsky.app/KvnmdnK
I’ll be presenting my work: Biome.jl, a flexible package for mechanistic biome simulations at poster 1052 today of #TIBS2026, come chat with me!
08.01.2026 11:32 — 👍 9 🔁 2 💬 0 📌 0
Exploring the tropical cloud forests of #Guacamayos. 🔎 Foggy, rain-soaked and mild temperatures: #cloudforests are some of the most species- and endemism-rich biomes on Earth. Despite covering only 0.4% of global land, they host 3,700 #species of birds, mammals, amphibians and tree ferns. 🌧️🌳🌿
14.11.2025 15:22 — 👍 18 🔁 6 💬 0 📌 0
🌿 Join Our Team as Postdoctoral Researcher in Regional Climate Downscaling at the Swiss Federal Research Institute WSL in Switzerland and lead the development of regional, highresolution climate scenarios for Armenia. @wslresearch.bsky.social @wsl-dme.bsky.social apply.refline.ch/273855/1747/...
08.07.2025 10:53 — 👍 10 🔁 10 💬 0 📌 0
What drives the iconic buttress roots in tropical forests—mechanics or nutrients?🌳 At #EGU25, @haozhima.bsky.social presented his research on “The biogeography & functional understanding of buttress roots in tropical forests”. He’s part of our SNSF Advanced Grant project "BIOME.cc"🌎: rb.gy/r8vy1l
06.05.2025 08:15 — 👍 8 🔁 4 💬 0 📌 0
@clechartre.bsky.social held a session on "HP computing for mechanistic prediction of biome distribution" at #EGU25. She presented BIOME4.jl—a hi-res #Julia reimplementation of #BIOME4 to improve performance, modularity & scalability, enabling the simulation of biome dynamics in complex terrains.🌍🖥️
04.05.2025 13:12 — 👍 13 🔁 4 💬 0 📌 0
Thrilled to share that we will be participating in the European Geosciences Union General Assembly 2025 #EGU25 in #Vienna — with four sessions led by our scientists!🚀 Don’t miss the chance to join their talks and meet them in person for insightful discussions & future collaborations!💡🌱
24.04.2025 17:10 — 👍 12 🔁 3 💬 0 📌 11/ How often does a major droughts hit the Alps? A deep dive into the data. 🌍
Having free and accessible drought data makes it easy to check how climate change has already impacted a region. Using our global drought dataset envidat.ch#/metadata/gl..., I took a closer look at the Alps. 🧵👇
A piece by my friend Gloria Mariño Briceño on the behind-the-scenes of working with NGOs, and the discrimination, and disrespect of human rights happening in some organizations.
To read on page 25.
www.linkedin.com/posts/gloria...
Stay tuned!!
29.01.2025 08:53 — 👍 5 🔁 1 💬 0 📌 0
In our new review on 'Hydroclimate volatility on a warming Earth' led by @weatherwest.bsky.social, we show that global-averaged subseasonal and interannual whiplash have increased substantially in the past and further increases are anticipated with ongoing warming: www.nature.com/articles/s43...
13.01.2025 17:05 — 👍 40 🔁 17 💬 0 📌 1
Ridgeline chart showing the distribution of global daily air temperature differences from the pre-industrial reference period (1850-1900), for every year between 1940 and 2024. Each individual year resembles a hill, shaded in a darker shade of red and further to the right for warmer years. The trend is clearly towards warmer years, with 2024 standing out as first year above 1.5C.
NEW: 2024 has just been confirmed as the warmest year on record, and the first to breach the 1.5C threshold.
We used a ridgeline (Joy Division inspired) chart to visualise daily temperature anomalies since 1940.
2024 clearly stands out with 100% of its days above 1.3C and 75% above 1.5C.
