From pools to flow: The PROMISE framework for new insights on soil carbon cycling in a changing world

Bonnie G. Waring, Benjamin N. Sulman, Sasha Reed, A. Peyton Smith, Colin Averill, Courtney A. Creamer, Daniela F. Cusack, Steven J. Hall, Julie D. Jastrow, Andrea Jilling, Kenneth M. Kemner, Markus Kleber, Xiao Jun Allen Liu, Jennifer Pett-Ridge, Marjorie Schulz

Research output: Contribution to journalArticlepeer-review

75 Scopus citations

Abstract

Soils represent the largest terrestrial reservoir of organic carbon, and the balance between soil organic carbon (SOC) formation and loss will drive powerful carbon-climate feedbacks over the coming century. To date, efforts to predict SOC dynamics have rested on pool-based models, which assume classes of SOC with internally homogenous physicochemical properties. However, emerging evidence suggests that soil carbon turnover is not dominantly controlled by the chemistry of carbon inputs, but rather by restrictions on microbial access to organic matter in the spatially heterogeneous soil environment. The dynamic processes that control the physicochemical protection of carbon translate poorly to pool-based SOC models; as a result, we are challenged to mechanistically predict how environmental change will impact movement of carbon between soils and the atmosphere. Here, we propose a novel conceptual framework to explore controls on belowground carbon cycling: Probabilistic Representation of Organic Matter Interactions within the Soil Environment (PROMISE). In contrast to traditional model frameworks, PROMISE does not attempt to define carbon pools united by common thermodynamic or functional attributes. Rather, the PROMISE concept considers how SOC cycling rates are governed by the stochastic processes that influence the proximity between microbial decomposers and organic matter, with emphasis on their physical location in the soil matrix. We illustrate the applications of this framework with a new biogeochemical simulation model that traces the fate of individual carbon atoms as they interact with their environment, undergoing biochemical transformations and moving through the soil pore space. We also discuss how the PROMISE framework reshapes dialogue around issues related to SOC management in a changing world. We intend the PROMISE framework to spur the development of new hypotheses, analytical tools, and model structures across disciplines that will illuminate mechanistic controls on the flow of carbon between plant, soil, and atmospheric pools.

Original languageEnglish
Pages (from-to)6631-6643
Number of pages13
JournalGlobal Change Biology
Volume26
Issue number12
DOIs
StatePublished - Dec 2020

Funding

The PROMISE model was developed during a working group generously supported by the Utah State University Ecology Center. We gratefully thank Josh Schimel, Will Wieder, and Corey Lawrence for their comments on the manuscript. S.R. was supported by the USGS Land Resources Mission Area. B.N.S. acknowledges support from the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Next Generation Ecosystem Experiments (NGEE) Arctic project. ORNL is managed by UT-Battelle, LLC, for the DOE under contract DE-AC05-00OR22725. K.M.K. was supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Biosystems Science Division's Mesoscale to Molecules Project and the Earth and Environmental Systems Sciences Division under contract DE-AC02-06CH11357. J.P.-R. was supported at Lawrence Livermore National Laboratory by the U.S. Department of Energy Office of Science under the auspices of SCW1632, the LLNL Carbon Initiative and DOE Contract DE-AC52-07NA27344. J.D.J. was supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Earth and Environmental Systems Sciences Division under contract DE-AC02-06CH11357. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The PROMISE model was developed during a working group generously supported by the Utah State University Ecology Center. We gratefully thank Josh Schimel, Will Wieder, and Corey Lawrence for their comments on the manuscript. S.R. was supported by the USGS Land Resources Mission Area. B.N.S. acknowledges support from the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Next Generation Ecosystem Experiments (NGEE) Arctic project. ORNL is managed by UT‐Battelle, LLC, for the DOE under contract DE‐AC05‐00OR22725. K.M.K. was supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Biosystems Science Division's Mesoscale to Molecules Project and the Earth and Environmental Systems Sciences Division under contract DE‐AC02‐06CH11357. J.P.‐R. was supported at Lawrence Livermore National Laboratory by the U.S. Department of Energy Office of Science under the auspices of SCW1632, the LLNL Carbon Initiative and DOE Contract DE‐AC52‐07NA27344. J.D.J. was supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Earth and Environmental Systems Sciences Division under contract DE‐AC02‐06CH11357. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. This manuscript has been co‐authored by UT‐Battelle, LLC, under contract DE‐AC05‐00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid‐up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe‐public‐access‐plan ).

FundersFunder number
Biosystems Science Division
Earth and Environmental Systems Sciences DivisionDE‐AC02‐06CH11357
LLNL Carbon InitiativeDE-AC52-07NA27344
Office of Biological and Environmental Research, Earth and Environmental Systems Sciences Division
U.S. Government
Utah State University Ecology Center
U.S. Department of EnergySCW1632, DE‐AC52‐07NA27344, DE‐AC05‐00OR22725
U.S. Geological Survey
Office of Science
Biological and Environmental Research
Oak Ridge National Laboratory

    Keywords

    • biogeochemical model
    • organic matter
    • organo-mineral interactions
    • pore structure
    • soil carbon
    • soil microbes

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