Key predictors of soil organic matter vulnerability to mineralization differ with depth at a continental scale

Weiglein, Tyler L.; Strahm, Brian D.; Bowman, Maggie M.; Gallo, Adrian C.; Hatten, Jeff A.; Heckman, Katherine A.; Matosziuk, Lauren M.; Nave, Lucas E.; Possinger, Angela R.; SanClements, Michael D.; Swanston, Christopher W.

doi:10.1007/s10533-021-00856-x

Title: Key predictors of soil organic matter vulnerability to mineralization differ with depth at a continental scale

Journal Article · Sat Nov 06 00:00:00 EDT 2021 · Biogeochemistry

DOI:https://doi.org/10.1007/s10533-021-00856-x· OSTI ID:1829362

; Strahm, Brian D.; Bowman, Maggie M.; Gallo, Adrian C.; Hatten, Jeff A.; Heckman, Katherine A.; Matosziuk, Lauren M.; Nave, Lucas E.; Possinger, Angela R.; SanClements, Michael D.; Swanston, Christopher W.

Abstract Soil organic matter (SOM) is the largest terrestrial pool of organic carbon, and potential carbon-climate feedbacks involving SOM decomposition could exacerbate anthropogenic climate change. However, our understanding of the controls on SOM mineralization is still incomplete, and as such, our ability to predict carbon-climate feedbacks is limited. To improve our understanding of controls on SOM decomposition, A and upper B horizon soil samples from 26 National Ecological Observatory Network (NEON) sites spanning the conterminous U.S. were incubated for 52 weeks under conditions representing site-specific mean summer temperature and sample-specific field capacity (−33 kPa) water potential. Cumulative carbon dioxide respired was periodically measured and normalized by soil organic C content to calculate cumulative specific respiration (CSR), a metric of SOM vulnerability to mineralization. The Boruta algorithm, a feature selection algorithm, was used to select important predictors of CSR from 159 variables. A diverse suite of predictors was selected (12 for A horizons, 7 for B horizons) with predictors falling into three categories corresponding to SOM chemistry, reactive Fe and Al phases, and site moisture availability. The relationship between SOM chemistry predictors and CSR was complex, while sites that had greater concentrations of reactive Fe and Al phases or were wetter had lower CSR. Only three predictors were selected for both horizon types, suggesting dominant controls on SOM decomposition differ by horizon. Our findings contribute to the emerging consensus that a broad array of controls regulates SOM decomposition at large scales and highlight the need to consider changing controls with depth.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States). Environmental Molecular Sciences Laboratory (EMSL)

Sponsoring Organization:: USDOE; National Science Foundation (NSF)

Grant/Contract Number:: Rapid Access User Proposal No. 50684; AC05-76RL01830; EF-1340250; DBI-1724433

OSTI ID:: 1829362

Alternate ID(s):: OSTI ID: 1981487

Journal Information:: Biogeochemistry, Journal Name: Biogeochemistry Vol. 157 Journal Issue: 1; ISSN 0168-2563

Publisher:: Springer Science + Business MediaCopyright Statement

Country of Publication:: Netherlands

Language:: English

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59 BASIC BIOLOGICAL SCIENCES
National Ecological Observatory Network
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Title: Key predictors of soil organic matter vulnerability to mineralization differ with depth at a continental scale

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