Bridging 20 Years of Soil Organic Matter Frameworks: Empirical Support, Model Representation, and Next Steps DOI Creative Commons
Katherine S. Rocci, Maurizio Cotrufo, Jessica G. Ernakovich

et al.

Journal of Geophysical Research Biogeosciences, Journal Year: 2024, Volume and Issue: 129(6)

Published: June 1, 2024

Abstract In the past few decades, there has been an evolution in our understanding of soil organic matter (SOM) dynamics from one inherent biochemical recalcitrance to deriving plant‐microbe‐mineral interactions. This shift driven, part, by influential conceptual frameworks which put forth hypotheses about SOM dynamics. Here, we summarize several focal and derive them six controls related formation, (de)stabilization, loss. These include: (a) physical inaccessibility; (b) organo‐mineral ‐metal stabilization; (c) biodegradability plant inputs; (d) abiotic environmental factors; (e) reactivity diversity; (f) microbial physiology morphology. We then review empirical evidence for these controls, their model representation, outstanding knowledge gaps. find relatively strong support representation factors but disparities between data models diversity, stabilization, inputs, particularly with respect destabilization latter two controls. More research on inaccessibility morphology is needed deepen critical improve representation. The are highly interactive also present some inconsistencies may be reconciled considering methodological limitations or temporal spatial variation. Future must simultaneously refine at various scales within a hierarchical structure, while incorporating emerging insights. will advance ability accurately predict

Language: Английский

Twenty Years of Progress, Challenges, and Opportunities in Measuring and Understanding Soil Respiration DOI Creative Commons
Ben Bond‐Lamberty, Ashley P. Ballantyne, E. Berryman

et al.

Journal of Geophysical Research Biogeosciences, Journal Year: 2024, Volume and Issue: 129(2)

Published: Feb. 1, 2024

Abstract Soil respiration (Rs), the soil‐to‐atmosphere flux of CO 2 , is a dominant but uncertain part carbon cycle, even after decades study. This review focuses on progress in understanding Rs from laboratory incubations to global estimates. We survey key developments situ ecosystem‐scale observations and manipulations, synthesize meta‐analyses estimates, discuss most compelling challenges opportunities for future. Increasingly sophisticated lab experiments have yielded insights into interaction among heterotrophic respiration, substrate supply, enzymatic kinetics, extended incubation‐based analyses across space time. Observational manipulative field‐based used improved measurement approaches deepen our integrated effects environmental change disturbance Rs. Freely‐available observational databases enabled studies probing magnitude of, constraints on, flux. Key field include expanding measurements, experiments, under‐represented communities ecosystems; reconciling independent estimates fluxes trends; testing leveraging power machine learning process‐based models, both independently conjunction with each other; continuing field's tradition using novel explore diverse mechanisms ecosystems.

Language: Английский

Citations

27

Bridging 20 Years of Soil Organic Matter Frameworks: Empirical Support, Model Representation, and Next Steps DOI Creative Commons
Katherine S. Rocci, Maurizio Cotrufo, Jessica G. Ernakovich

et al.

Journal of Geophysical Research Biogeosciences, Journal Year: 2024, Volume and Issue: 129(6)

Published: June 1, 2024

Abstract In the past few decades, there has been an evolution in our understanding of soil organic matter (SOM) dynamics from one inherent biochemical recalcitrance to deriving plant‐microbe‐mineral interactions. This shift driven, part, by influential conceptual frameworks which put forth hypotheses about SOM dynamics. Here, we summarize several focal and derive them six controls related formation, (de)stabilization, loss. These include: (a) physical inaccessibility; (b) organo‐mineral ‐metal stabilization; (c) biodegradability plant inputs; (d) abiotic environmental factors; (e) reactivity diversity; (f) microbial physiology morphology. We then review empirical evidence for these controls, their model representation, outstanding knowledge gaps. find relatively strong support representation factors but disparities between data models diversity, stabilization, inputs, particularly with respect destabilization latter two controls. More research on inaccessibility morphology is needed deepen critical improve representation. The are highly interactive also present some inconsistencies may be reconciled considering methodological limitations or temporal spatial variation. Future must simultaneously refine at various scales within a hierarchical structure, while incorporating emerging insights. will advance ability accurately predict

Language: Английский

Citations

4