Pore distances of particulate organic matter predict <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si12.svg" display="inline" id="d1e325"><mml:mrow><mml:msub><mml:mrow><mml:mtext>N</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:mtext>O</mml:mtext></mml:mrow></mml:math> emissions from intact soil at moist conditions

Ortega, Patricia; Pot, Valérie; Laville, Patricia; Schlüter, Steffen; Amor-Quiroz, D. A.; Hadjar, Dalila; Mazurier, Arnaud; Lacoste, Marine; Caurel, Chloé; Pouteau, Valérie; Chenu, Claire; Basile‐Doelsch, Isabelle; Hénault, Catherine; Garnier, Patricia

doi:10.1016/j.geoderma.2022.116224

Cited by 19 publications

(7 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…4). This is in agreement with findings revealing that large mean distances of POM to air-filled pores are associated with N 2 O emissions (Lucas, Santiago, et al 2023; Ortega-Ramírez et al 2023). The significance of POM as a hotspot for denitrification is further highlighted through the comparison with the sieved soil studied in Rohe et al 2021.…”

Section: Discussionsupporting

confidence: 93%

“…For this, we computed linear regressions of the anaerobic volume resulting from varying distance thresholds of 0.06 mm - 5 mm with the N 2 O+N 2 fluxes and minimized the p -value. We also used the distance maps to calculate the distance of POM to air-filled macropores within the subsamples similar to Ortega-Ramírez et al 2023 and Lucas, Gil, et al 2023. The same sensitivity analysis as for the anaerobic soil volume was conducted to estimate the distance threshold.…”

Section: Methodsmentioning

confidence: 99%

“…X-ray microtomography has been applied repeatedly to determine the volume fraction and distribution of air-filled pores to help predict N 2 O emissions (Kravchenko, Guber, et al 2018; Lucas, Santiago, et al 2023; Rabot et al 2015; Rohe et al 2021). Most recently two of these studies revealed that enhanced N 2 O emissions are caused by larger volumes of POM at greater distances to pores, here denoted as occluded POM (Lucas, Santiago, et al 2023; Ortega-Ramírez et al 2023). In contrast, larger amounts of POM located within or close to pores should result in large CO 2 emissions from aerobic respiration.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The distribution of particulate organic matter in the heterogeneous soil matrix - balancing between aerobic respiration and denitrification

Lucas,

Rohe,

Apelt

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

Denitrification, a key process in soil nitrogen cycling, occurs predominantly within microbial hotspots, where denitrifiers use nitrate as an alternative electron acceptor. For accurate prediction of dinitrogen (N2) and nitrous oxide (N2O) emissions from denitrification, a precise quantification of these microscale hotspots is required. Employing a unique combination of X-ray CT imaging, microscale O2measurements, and15N labeling, we were able to quantify hotspots of aerobic respiration and denitrification. We analyzed the dynamics of greenhouse gas (GHG) fluxes, soil oxygen supply, and the distribution of particulate organic matter (POM) in intact soil samples from a grassland and a cropland under different moisture conditions. Our findings reveal that both free and occluded particulate organic matter (POM), identified through X-ray CT imaging, contribute to GHG emissions. The occluded POM, i.e. POM at distant locations to air-filled pores, emerged as a primary driver of denitrification within structured soils of both land uses. Thus, the higher denitrification rates in the grassland could be attributed to the higher content of occluded POM. Conversely, despite possessing compacted areas that could favor denitrification, the cropland had only small amounts of occluded POM to stimulate denitrification. This underlines the complex interaction between soil structural heterogeneity, organic carbon supply, and microbial hotspot formation and thus contributes to a better understanding of soil-related GHG emissions. In summary, our study provides a holistic understanding of soil-borne greenhouse gas emissions and emphasizes the need to refine predictive models for soil denitrification and N2O emissions by incorporating the microscale distribution of POM.

show abstract

Section: Discussionsupporting

confidence: 93%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The distribution of particulate organic matter in the heterogeneous soil matrix - balancing between aerobic respiration and denitrification

Lucas,

Rohe,

Apelt

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Likewise, most of the matrix in the bare soil was neither in the current detritusphere nor former rhizosphere. This result is especially notable because POM comparisons among plant communities commonly focus only on total POM contents rather than on spatial distribution patterns 51 . Our findings (Supplementary Table S2 ) demonstrate that even though soils from switchgrass and restored prairie systems can have similar POM contents (e.g., ref.…”

Section: Discussionmentioning

confidence: 99%

Composition and metabolism of microbial communities in soil pores

Li,

Kravchenko,

Cupples

et al. 2024

Nat Commun

View full text Add to dashboard Cite

Delineation of microbial habitats within the soil matrix and characterization of their environments and metabolic processes are crucial to understand soil functioning, yet their experimental identification remains persistently limited. We combined single- and triple-energy X-ray computed microtomography with pore specific allocation of 13C labeled glucose and subsequent stable isotope probing to demonstrate how long-term disparities in vegetation history modify spatial distribution patterns of soil pore and particulate organic matter drivers of microbial habitats, and to probe bacterial communities populating such habitats. Here we show striking differences between large (30-150 µm Ø) and small (4-10 µm Ø) soil pores in (i) microbial diversity, composition, and life-strategies, (ii) responses to added substrate, (iii) metabolic pathways, and (iv) the processing and fate of labile C. We propose a microbial habitat classification concept based on biogeochemical mechanisms and localization of soil processes and also suggests interventions to mitigate the environmental consequences of agricultural management.

show abstract

“…Likewise, most of the soil matrix in the bare soil was neither in the current detritusphere nor former rhizosphere. This is especially notable because POM comparisons among plant communities commonly focus only on total POM contents rather than on spatial distribution patterns 61 . Our results (Table S2) demonstrate that even though soils from switchgrass and restored prairie systems can have similar POM contents (e.g., 97 , their POM spatial distribution patterns can differ substantially, generating diverging impacts on soil C processing.…”

Section: Particulate Organic Matter: Total Volume Vs Spatial Distribu...mentioning

confidence: 99%

Soil pores created by diverse plant communities drive microbial community composition and processes with ecosystem consequences

Kravchenko,

Li,

Cupples

et al. 2023

Preprint

View full text Add to dashboard Cite

Delineation of microbial habitats within the soil matrix and characterization of their environments are crucial to understand soil functioning and carbon (C) cycling. Yet, experimental identification of microbial communities populating specific micro-habitats and assessments of their biochemical properties have been persistently limited. Here we demonstrate how long-term disparities in vegetation history modify spatial distribution patterns and properties of soil pores and particulate organic matter (POM), and show striking differences in bacterial communities populating pores of contrasting sizes in soils from three vegetation systems on the same soil type: an intensive corn (Zea mays L.) rotation, monoculture switchgrass (Panicum virgatum L.), and restored North American prairie. We combined single- and triple-energy X-ray computed microtomography (µCT) with pore specific allocation of 13 C labeled glucose and subsequent stable isotope probing (13C-DNA/RNA-SIP) to show that large (30-150 µm Ø) and small (4-10 µm Ø) soil pores differed in (i) microbial diversity, composition, and life-strategies, (ii) responses to added substrate, (iii) metabolic pathways, and (iv) the processing and fate of labile C. Results demonstrate that soil pores created by different plant communities differ in ways that strongly influence microbial composition and activity, and thus impact ecosystem processes such as decomposition, nitrogen processing, and carbon sequestration. A proposed classification scheme may improve biogeochemical models of soil processes and as well suggest interventions to mitigate the environmental consequences of agricultural management.

show abstract

Pore distances of particulate organic matter predict N2O emissions from intact soil at moist conditions

Cited by 19 publications

References 41 publications

The distribution of particulate organic matter in the heterogeneous soil matrix - balancing between aerobic respiration and denitrification

The distribution of particulate organic matter in the heterogeneous soil matrix - balancing between aerobic respiration and denitrification

Composition and metabolism of microbial communities in soil pores

Soil pores created by diverse plant communities drive microbial community composition and processes with ecosystem consequences

Contact Info

Product

Resources

About