A Continental‐Scale Estimate of Soil Organic Carbon Change at NEON Sites and Their Environmental and Edaphic Controls

Author:

Hu Jie1ORCID,Hartemink Alfred E.1ORCID,Desai Ankur R.2ORCID,Townsend Philip A.3ORCID,Abramoff Rose Z.45ORCID,Zhu Zhe6,Sihi Debjani7ORCID,Huang Jingyi1ORCID

Affiliation:

1. Department of Soil Science University of Wisconsin‐Madison WI Madison USA

2. Department of Atmospheric and Oceanic Sciences University of Wisconsin‐Madison WI Madison USA

3. Department of Forest and Wildlife Ecology University of Wisconsin‐Madison WI Madison USA

4. Climate and Ecosystem Sciences Division Lawrence Berkeley National Laboratory CA Berkeley USA

5. Ronin Institute NJ Montclair USA

6. Department of Natural Resources and the Environment University of Connecticut CT Storrs USA

7. Department of Environmental Sciences Emory University GA Atlanta USA

Abstract

AbstractCurrent carbon cycle models focus on the effects of climate and land‐use change on primary productivity and microbial‐mineral dependent carbon turnover in the topsoil, while less attention has been paid to vertical soil processes and soil‐dependent response to land‐use change along the profile. In this study, a spatial‐temporal analysis was used to estimate soil organic carbon (SOC) change in topsoil/A horizon and subsoil/B horizon at National Ecological Observatory Network (NEON) sites, USA over 30 years. To separate the effects of land‐use, environmental, and edaphic factors on SOC change, space‐for‐time substitution was used in combination with the Continuous Change Detection and Classification algorithm and Structural Equation Modeling. Results showed that (a) under natural vegetation, Spodosols and Inceptisols found in the eastern NEON sites had substantial topsoil SOC accumulation (+0.4 to +1.2 Mg C ha−1 year−1), while Inceptisols and Andisols in the west had a comparable magnitude of topsoil SOC loss (−0.5 to −1.8 Mg C ha−1 year−1); (b) Mollisols and Alfisols in the Central Plains sites were susceptible to significant SOC loss under farming and grazing; (c) Runoff/erosion and leaching potential, vertical translocation, and mineral sorption were the most important factors controlling SOC variation across the NEON sites. Our work could be used to parameterize ecosystem models simulating SOC change.

Funder

Wisconsin Alumni Research Foundation

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry

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1. Transfer learning in environmental remote sensing;Remote Sensing of Environment;2024-02

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