I stand by my offer to appear on Joe Rogan and set the record straight about our half-billion-year temperature reconstruction www.theguardian.com/environment/...

@biogeography.bsky.social
@bjerknes.uib.no uib.no
@unibergen.bsky.social ibergen.bsky.social
@mohnfoundation.bsky.social sky.social

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

New R-package alert! 🚨

With tabs it has never been easier to reconstruct altitudinal shifts of biogeographical systems over time. Whether in the ocean 🏝️, shallow seas 🪸 or mountains ⛰️; tabs can project spatial configurations shaped by climatic conditions.
➡️ doi.org/10.21425/fob...

Which paleoclimate dataset do you use for your research? New research by @elinerentier.bsky.social published in Frontiers of Biogeography reveals that your choice matters —a lot— especially in mountains!

doi.org/10.21425/fob...

Many downscaled #paleoclimate datasets aren’t suited for capturing #temperatures during the Last Glacial Maximum in #mountains. Resolution too coarse for complex terrain. Use with caution ⚠️
📝 New paper out : doi.org/10.21425/fob...
led by
@elinerentier.bsky.social

#LGM #science #reasearch

🚨Super cool study by @elinerentier.bsky.social !
Read the whole 🧵👇

Thank you @bjerknes.uib.no for highlighting our recent publication! ⛰️🌡️🌲

#paleoclimate #temperature #variability #treeline #biomereconstructions #science

And.. more!

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.

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.

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.

@bjerknes.uib.no @unibergen.bsky.social @suzetteflantua.bsky.social @ondrejmottl.bsky.social @lacapary.bsky.social @lottaschultz.bsky.social @biogeography.bsky.social

Which paleoclimate dataset do you use for your research?

In my latest research, I compared temperature estimates from five well-known paleoclimate datasets to proxy data and found that inter-dataset variability can strongly affect temperature-delimited reconstructions. 🧵

➡️ doi.org/10.21425/fob...

🧪 Is it okay to use generative AI in academic writing? Eline S. Rentier explores the ethical implications in this open-access article. Read her thoughts on GenAI and the FAIR principles in science, as well as how GenAI can also be an effective tool - if learned how to use 👇