Elsa Abs
@elsa-abs.bsky.social
770 followers 690 following 83 posts
Earth scientist, microbial/ecosystem ecologist, @ERC_Research for project GAMEchange @LSCE_IPSL, Marie Curie @UCIrvine, PhD @ENS_ULM, they/iel 🇫🇷 🇱🇧 🏳️‍🌈 https://www.elsaabs.com/
Posts Media Videos Starter Packs
Pinned
elsa-abs.bsky.social
go.bsky.app/ACjNUuz

Let me know if you want to join 🦠🌍🤗
elsa-abs.bsky.social
Congratulations Kyle!!! (love the soil mates 🤣🥰)
elsa-abs.bsky.social
Thank you for sharing Brian!
elsa-abs.bsky.social
Wondering where to submit your abstract for #AGU25 @agu.org?

Check out our session co-organized with @kristenobacter.bsky.social (UMass), Ulas Karaoz and Nicola Falco (Berkeley Lab).

In-person invited speakers: @andreasrichter.bsky.social (U of Vienna) & Amilcare Porporato (Princeton) 🤩
elsa-abs.bsky.social
I'd love that! I'm based in Paris. Would that work for you?
elsa-abs.bsky.social
Working on microscale microbial functions and/or scaling up?

Submit to our Elementa special feature!

🔗 lnkd.in/gChyjaiM
📝 Rolling publication
📅 Final deadline: Sept 20, 2025
🌍 Contributions welcome from soil, ocean & human systems.
elsa-abs.bsky.social
📣 Our special feature highlighting cutting-edge microbial eco-evolutionary research is now live and open for submissions! online.ucpress.edu/elementa/pag.... Submission deadline: September 20, 2025 (but accepted papers will be published on a rolling basis starting immediately).
elsa-abs.bsky.social
🙏 co-authors: @scott-saleska.bsky.social , Steve Allison, Philippe Ciais, @chopinyang.bsky.social , Mike Weintraub and Régis Ferrière.
elsa-abs.bsky.social
6. Conclusion

Microbial eco-evolution could destabilize soil carbon.
Models that ignore it risk underestimating climate-carbon feedbacks.
We hope this work opens the door to more theory-driven, evolution-aware Earth system models. (7/7)
elsa-abs.bsky.social
5. Global heterogeneity of the eco-evolutionary effect

We wondered if we could replace eco-evolution with a constant correction. Answer: no. Its effect is uneven—negligible in warm regions, but up to 2× more soil C loss in cold ones. Why? Optimal enzyme allocation responds nonlinearly. (6/7)
elsa-abs.bsky.social
4. Implication for global soil C projections

We thought that microbial adaptation would buffer warming-induced soil C loss. But because it amplifies enzyme production (as shown above), we found that adaptation aggravates the loss—by x1.8 globally. (5/7)
elsa-abs.bsky.social
3. Experimental validation

We reviewed 13 warming studies:
✅ 9 matched our predictions (6 eco-evolution, 3 physio)
❌ 3 didn’t show increased enzyme production (though evidence was weaker).
Overall, warming tends to increase microbial investment in resource acquisition. (4/7)
elsa-abs.bsky.social
2. Evolutionary result

We found that in hostile environments (e.g. high mortality, slow uptake), selection favors direct investment in biomass over the riskier strategy of enzyme production. Since warming mainly increases uptake rate, we predicted it would favor stronger enzyme producers. (3/7)
elsa-abs.bsky.social
1. The eco-evolutionary model

We added a trade-off to a classic microbe-soil C model and used adaptive dynamics to evolve enzyme allocation. To prevent freeloaders from taking over, we included implicit spatial structure. Bonus: enzyme production emerges—it’s no longer a free parameter. (2/7)
elsa-abs.bsky.social
New paper out in Global Change Biology 🤩

doi.org/10.1111/gcb....

We built the first soil carbon model that includes microbial eco-evolution using game theory — and found that adaptation could nearly double global soil carbon loss by 2100. Here is how👇(1/7)
elsa-abs.bsky.social
🙏 co-authors: @scott-saleska.bsky.social, Steve Allison, Philippe Ciais, @chopinyang.bsky.social, Mike Weintraub and Régis Ferrière.
elsa-abs.bsky.social
6. Conclusion

Microbial eco-evolution could destabilize soil carbon.
Models that ignore it risk underestimating climate-carbon feedbacks.
We hope this work opens the door to more theory-driven, evolution-aware Earth system models. (7/7)
elsa-abs.bsky.social
5. Global heterogeneity of the eco-evolutionary effect

We wondered if we could replace eco-evolution with a constant correction. Answer: no. Its effect is uneven—negligible in warm regions, but up to 2× more soil C loss in cold ones. Why? Optimal enzyme allocation responds nonlinearly. (6/7)
elsa-abs.bsky.social
4. Implication for global soil C projections

We thought that microbial adaptation would buffer warming-induced soil C loss. But because it amplifies enzyme production (as shown above), we found that adaptation aggravates the loss—by x1.8 globally. (5/7)
elsa-abs.bsky.social
3. Experimental validation

We reviewed 13 warming studies:
✅ 9 matched our predictions (6 eco-evolution, 3 physio)
❌ 3 didn’t show increased enzyme production (though evidence was weaker).
Overall, warming tends to increase microbial investment in resource acquisition. (4/7)
elsa-abs.bsky.social
2. Evolutionary result

We found that in hostile environments (e.g. high mortality, slow uptake), selection favors direct investment in biomass over the riskier strategy of enzyme production. Since warming mainly increases uptake rate, we predicted it would favor stronger enzyme producers. (3/7)
elsa-abs.bsky.social
1. The eco-evolutionary model

We added a trade-off to a classic microbe-soil C model and used adaptive dynamics to evolve enzyme allocation. To prevent freeloaders from taking over, we included implicit spatial structure. Bonus: enzyme production emerges—it’s no longer a free parameter. (2/7)
elsa-abs.bsky.social
Gorgeous place to think about eco-evolution. Thanks @lemontree-uofr.bsky.social for the invite!
elsa-abs.bsky.social
📣 Our special feature highlighting cutting-edge microbial eco-evolutionary research is now live and open for submissions! online.ucpress.edu/elementa/pag.... Submission deadline: September 20, 2025 (but accepted papers will be published on a rolling basis starting immediately).
elsa-abs.bsky.social
Yayy! Just added you!