Initial soil organic carbon stocks govern changes in soil carbon: Reality or artifact?

carbon cycle meta-analysis regression to the mean soil soil organic matter statistical artifact

Journal

Global change biology
ISSN: 1365-2486
Titre abrégé: Glob Chang Biol
Pays: England
ID NLM: 9888746

Informations de publication

Date de publication:
03 2023
Historique:
received: 01 09 2022
accepted: 29 09 2022
pubmed: 22 10 2022
medline: 7 2 2023
entrez: 21 10 2022
Statut: ppublish

Résumé

Changes in soil organic carbon (SOC) storage have the potential to affect global climate; hence identifying environments with a high capacity to gain or lose SOC is of broad interest. Many cross-site studies have found that SOC-poor soils tend to gain or retain carbon more readily than SOC-rich soils. While this pattern may partly reflect reality, here we argue that it can also be created by a pair of statistical artifacts. First, soils that appear SOC-poor purely due to random variation will tend to yield more moderate SOC estimates upon resampling and hence will appear to accrue or retain more SOC than SOC-rich soils. This phenomenon is an example of regression to the mean. Second, normalized metrics of SOC change-such as relative rates and response ratios-will by definition show larger changes in SOC at lower initial SOC levels, even when the absolute change in SOC does not depend on initial SOC. These two artifacts create an exaggerated impression that initial SOC stocks are a major control on SOC dynamics. To address this problem, we recommend applying statistical corrections to eliminate the effect of regression to the mean, and avoiding normalized metrics when testing relationships between SOC change and initial SOC. Careful consideration of these issues in future cross-site studies will support clearer scientific inference that can better inform environmental management.

Identifiants

pubmed: 36268673
doi: 10.1111/gcb.16491
pmc: PMC10092500
doi:

Substances chimiques

Soil 0
Carbon 7440-44-0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1239-1247

Subventions

Organisme : Lawrence Livermore National Laboratory
ID : 19-ERD-010
Organisme : Lawrence Livermore National Laboratory
ID : 21-ERD-045
Organisme : U.S. Department of Energy
ID : SCW1711

Informations de copyright

© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.

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Auteurs

Eric W Slessarev (EW)

Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.

Allegra Mayer (A)

Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.

Courtland Kelly (C)

Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.

Katerina Georgiou (K)

Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.

Jennifer Pett-Ridge (J)

Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.
Life and Environmental Sciences Department, University of California Merced, Merced, California, USA.

Erin E Nuccio (EE)

Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.

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Classifications MeSH