Elisa Bruni

110 posts

Elisa Bruni

Elisa Bruni

@ebruni93

Soil carbon modeler

Parigi, Francia Beigetreten Nisan 2016
434 Folgt597 Follower
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Elisa Bruni
Elisa Bruni@ebruni93·
📢 New paper out in @Geoderma_Jrnl doi.org/10.1016/j.geod… 🦠Should we integrate microbial diversity into soil carbon models? 🍄 🚫Our data say no - it doesn’t improve predictions. ✅But microbial biomass? That’s a different story 👇
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Elisa Bruni
Elisa Bruni@ebruni93·
@EmmaAtai @Geoderma_Jrnl Yes maybe, but we're not looking at each piece, rather at how the "whole" taxonomic diversity correlates to response variables. There are many limitations in these measurements though, I agree!
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Emmanuel Atai
Emmanuel Atai@EmmaAtai·
@ebruni93 @Geoderma_Jrnl Thank you for the response. Correct me if I am wrong, but I think microbial biomass is a “Whole” whereas the microbial diversity would be a zoomed into to pieces. And each piece on its own won’t correlate with response variables?
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Elisa Bruni
Elisa Bruni@ebruni93·
📢 New paper out in @Geoderma_Jrnl doi.org/10.1016/j.geod… 🦠Should we integrate microbial diversity into soil carbon models? 🍄 🚫Our data say no - it doesn’t improve predictions. ✅But microbial biomass? That’s a different story 👇
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Elisa Bruni
Elisa Bruni@ebruni93·
@EmmaAtai @Geoderma_Jrnl Good question! In this work, we used operational taxonomic units and calculated different diversity indices (richness, Shannon, inverse Simpson), and this for different microbial groups (bacteria, fungi, saprotrophic fungi, ECM fungi) and we consistently saw the same effect
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Emmanuel Atai
Emmanuel Atai@EmmaAtai·
@ebruni93 @Geoderma_Jrnl Question, can microbial diversity be used as variable in this context. Can be quantified in the way microbial biomass is?
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Elisa Bruni
Elisa Bruni@ebruni93·
4/4 Bottom line: In our conditions, microbial diversity added complexity without gains in prediction. Microbial biomass, not diversity, is what really drives soil C and N dynamics in our model-data assimilation framework
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Elisa Bruni
Elisa Bruni@ebruni93·
3/4 Microbial (taxonomic) diversity had minor and negative effects. It slightly reduced C and N mineralization—but didn’t enhance model accuracy
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Elisa Bruni
Elisa Bruni@ebruni93·
2/4 Microbial biomass clearly mattered. It improved model performance and almost linearly controlled the C mineralization rate
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Elisa Bruni
Elisa Bruni@ebruni93·
🧵 1/4 We tested whether adding microbial activity improves predictions of a soil C and N model
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Elisa Bruni
Elisa Bruni@ebruni93·
👩‍🌾 4/4 Land management interventions are required to reach soil C sequestration targets in Europe
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Elsa Abs
Elsa Abs@ElsaHAbs·
If you loved (or missed!) our AGU24 session, don’t miss our #EGU25 session, "Advancing Soil Carbon Predictions"! 🥁 Invited speaker: Elena Shevliakova (Princeton), a leader in integrating microbes into land surface models. Submit abstracts by Jan 15 🗓️: meetingorganizer.copernicus.org/EGU25/session/…
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Elisa Bruni
Elisa Bruni@ebruni93·
Excited to share our latest perspective on the role of CUE in the land C cycle and its integration into global models! 🌍 Check out the full article in @NatureComms: rdcu.be/dTQ98. Huge thanks to @xianjin_he for leading the work and to all the amazing co-authors!
Elsa Abs@ElsaHAbs

Our review on estimating CUE across scales and its impact on global soil carbon predictions is now published in Nature Communications! Huge thanks to @xianjin_he for leading this effort! rdcu.be/dTQ98

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@EmmaAtai @Geoderma_Jrnl @STOTEN_journal @ClaireChenu2 @4per1000 @ElsaHAbs @AgenciaFAPESP @franceaubresil