Eline Rentier
@elinerentier.bsky.social
PhD researcher at the University of Bergen, Norway
Earth scientist | spatial data analyst | spatiotemporal modelling | connectivity dynamics | mountains
Earth scientist | spatial data analyst | spatiotemporal modelling | connectivity dynamics | mountains
@biogeography.bsky.social
@bjerknes.uib.no uib.no
@unibergen.bsky.social ibergen.bsky.social
@mohnfoundation.bsky.social sky.social
@bjerknes.uib.no uib.no
@unibergen.bsky.social ibergen.bsky.social
@mohnfoundation.bsky.social sky.social
September 3, 2025 at 8:23 AM
Huge thanks and credits to the amazing tabs-team: Johannes de Groeve, @drken-rysdyk.bsky.social , Sietze Norder and @suzetteflantua.bsky.social.
Also credits for the incredible visualisation of this graphical abstract to @mirantakouvari.bsky.social
Also credits for the incredible visualisation of this graphical abstract to @mirantakouvari.bsky.social
September 3, 2025 at 8:23 AM
Huge thanks and credits to the amazing tabs-team: Johannes de Groeve, @drken-rysdyk.bsky.social , Sietze Norder and @suzetteflantua.bsky.social.
Also credits for the incredible visualisation of this graphical abstract to @mirantakouvari.bsky.social
Also credits for the incredible visualisation of this graphical abstract to @mirantakouvari.bsky.social
And.. more!
Make sure to read our paper for more interesting findings, amazing figures and our recommendations for future research. 🔍
Make sure to read our paper for more interesting findings, amazing figures and our recommendations for future research. 🔍
May 29, 2025 at 9:52 AM
And.. more!
Make sure to read our paper for more interesting findings, amazing figures and our recommendations for future research. 🔍
Make sure to read our paper for more interesting findings, amazing figures and our recommendations for future research. 🔍
So what does this mean?
➡️Paleoclimate dataset choice strongly impacts biogeographical hypotheses, reconstructions and conclusions.
➡️ Evaluate the limitations of the dataset you use, especially when you work in/with mountain regions.
➡️Paleoclimate dataset choice strongly impacts biogeographical hypotheses, reconstructions and conclusions.
➡️ Evaluate the limitations of the dataset you use, especially when you work in/with mountain regions.
May 29, 2025 at 9:52 AM
So what does this mean?
➡️Paleoclimate dataset choice strongly impacts biogeographical hypotheses, reconstructions and conclusions.
➡️ Evaluate the limitations of the dataset you use, especially when you work in/with mountain regions.
➡️Paleoclimate dataset choice strongly impacts biogeographical hypotheses, reconstructions and conclusions.
➡️ Evaluate the limitations of the dataset you use, especially when you work in/with mountain regions.
5️⃣ The resolution of several downscaled paleoclimate datasets is unsuitable to capture LGM temperatures in mountainous regions.
May 29, 2025 at 9:52 AM
5️⃣ The resolution of several downscaled paleoclimate datasets is unsuitable to capture LGM temperatures in mountainous regions.
3️⃣ We illustrated the impact of this variability on treeline elevations, and found that it results in both overestimation (i.e. too high) and underestimation (i.e. too low).
4️⃣ Depending on the paleoclimate dataset used, the reconstructions can differ from 288 metres to as much as 2779 metres.
4️⃣ Depending on the paleoclimate dataset used, the reconstructions can differ from 288 metres to as much as 2779 metres.
May 29, 2025 at 9:52 AM
3️⃣ We illustrated the impact of this variability on treeline elevations, and found that it results in both overestimation (i.e. too high) and underestimation (i.e. too low).
4️⃣ Depending on the paleoclimate dataset used, the reconstructions can differ from 288 metres to as much as 2779 metres.
4️⃣ Depending on the paleoclimate dataset used, the reconstructions can differ from 288 metres to as much as 2779 metres.
1️⃣ We found that LGM cooling is globally both over- and underestimated by downscaled paleoclimate datasets.
2️⃣ The median temperature difference between paleoclimate datasets and proxy records is larger within than outside mountain ranges, with substantial differences amongst datasets.
2️⃣ The median temperature difference between paleoclimate datasets and proxy records is larger within than outside mountain ranges, with substantial differences amongst datasets.
May 29, 2025 at 9:52 AM
1️⃣ We found that LGM cooling is globally both over- and underestimated by downscaled paleoclimate datasets.
2️⃣ The median temperature difference between paleoclimate datasets and proxy records is larger within than outside mountain ranges, with substantial differences amongst datasets.
2️⃣ The median temperature difference between paleoclimate datasets and proxy records is larger within than outside mountain ranges, with substantial differences amongst datasets.