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Integrating Microbial Evolution into Biogeochemical Models to Predict Soil Response to Drought

Project description

Gaining insight into soil response to a changing climate

Soil carbon emissions are susceptible to climate change but can be reduced with new land management practices, provided soil carbon–climate feedback outcomes can be predicted. However, predictions from current large-scale soil carbon models differ greatly and reveal large uncertainties in the processes involved. One uncertainty is the effect of change in precipitation regimes on soil organic matter decomposition mediated by soil microorganisms. The EU-funded GLOBALECOEVO project aims to integrate variable decomposition–moisture functions into a large-scale soil carbon model to reflect precipitation history and carbon substrate influence on microbial responses to changes in soil moisture. The model used to calculate these functions will account for both ecological and evolutionary processes. The project will shed further light on soil response to climate change.

Objective

Soil is both the largest sink and source of organic carbon (C) exchanged with the atmosphere. These exchanges result from biological processes, the primary source being the decomposition of soil organic matter (SOM), which is controlled by physical factors such as climate. As such, soil C emissions are very vulnerable to climate change but can also be reduced with new land management practices if we can predict the outcomes of soil carbon-climate feedbacks. However, predictions from the existing large-scale soil C models strongly diverge, and reveal large uncertainties in the processes and controls at play. One of these uncertainties is the effect of change in precipitation regimes on SOM decomposition mediated by soil microorganisms. Functions describing the decomposition response of soil carbon to soil moisture are static in current large-scale models, yet recent empirical studies show that decay responses under new soil moisture conditions can change due to shifts in microbial communities. Recent evidence suggests that evolution is a key processes driving these shifts in microbial communities.
This project proposes to integrate variable decomposition-moisture functions into a large-scale soil C model to reflect precipitation history and carbon substrate influence on microbial responses to changing soil moisture. These functions will be calculated from a mechanistic microbial model that accounts for both ecological and evolutionary processes. The mechanistic model will be an updated version of the trait-based model DEMENT developed by the fellow’s supervisor at the partner institution (UC Irvine). The moisture response functions will be integrated into a commonly used soil carbon model, RothC, that has been incorporated into the global land surface model (ORCHIDEE) of the host institution (LSCE).

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Programme(s)

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Topic(s)

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Funding Scheme

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2019

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Coordinator

UNIVERSITE DE VERSAILLES SAINT-QUENTIN EN YVELINES
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 257 619,84
Address
AVENUE DE PARIS 55
78035 VERSAILLES
France

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Region
Ile-de-France Ile-de-France Yvelines
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 257 619,84

Partners (1)

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