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Dr. Suzette Flantua@suzetteflantua.bsky.social · 3mo ago

A key takeaway: Global knowledge is uneven. 🗺️Some regions are well studied, while others remain major blind spots. This is a roadmap for future research across disciplines. ❄️ Cryosphere 🌦️ Climate 🌱 Ecosystems Our #GLACIMONTIS is openly available here: zenodo.org/records/1560... #OpenScience

GLACIMONTIS

Disclaimer: All glacier reconstructions in GLACIMONTIS are either openly available, included with explicit author permission, or digitized as derivative products from published figures; original sourc...

zenodo.org

Dr. Suzette Flantua@suzetteflantua.bsky.social · 3mo ago

MANY mountains had glaciers but they didn’t expand everywhere equally. ⛰️ "Local LGMs" are evident everywhere as mountains differed in when glaciers had maximum extent. And some mountain ranges were extensively glaciated, few remained ice-free, and several regions are still poorly constrained.

Classification of mountain ranges (GMBA, level 3) regarding status of glaciation and/or glaciological research during the Local LGM, in green (with reconstruction), yellow (without reconstruction), orange (unassessed) and red (unglaciated). In white the ice sheets during the LGM. In grey background the world countries. Oceans in blue
Dr. Suzette Flantua@suzetteflantua.bsky.social · 3mo ago

Our geodatabase is called #GLACIMONTIS! 🩵 What’s new here: • Global synthesis 🌎 🌍🌏 • Standardised geospatial database 🌐 • Direct link to original studies 🧾 • Identification of major data gaps 🗺️ 🌍 15,000+ glacier reconstructions ⛰️ 271 mountain ranges 📚 209 studies

Global map indicating in white the ice scheets during the LGM, in blue the mountain glaciers, and in grey global countries