Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks
Abstract
Abstract The complexity of processes and interactions that drive soil C dynamics necessitate the use of proxy variables to represent soil characteristics that cannot be directly measured (correlative proxies), or that aggregate information about multiple soil characteristics into one variable (integrative proxies). These proxies have proven useful for understanding the soil C cycle, which is highly variable in both space and time, and are now being used to make predictions of the fate and persistence of C under future climate scenarios. However, the C pools and processes that proxies represent must be thoughtfully considered in order to minimize uncertainties in empirical understanding. This is necessary to capture the full value of a proxy in model parameters and in model outcomes. Here, we provide specific examples of proxy variables that could improve decision‐making, and modeling skill, while also encouraging continued work on their mechanistic underpinnings. We explore the use of three common soil proxies used to study soil C cycling: metabolic quotient, clay content, and physical fractionation. We also consider how emerging data types, such as genome‐sequence data, can serve as proxies for microbial community activities. By examining some broad assumptions in soil C cycling with the proxies already in use,more »
- Authors:
-
[1];
[2];
- Pacific Northwest National Laboratory Richland WA USA
- Pacific Northwest National Laboratory Joint Global Change Research Institute University of Maryland College Park MD USA
- Department of Microbiology University of Massachusetts Amherst Amherst MA USA
- Department of Natural Resources and Environment University of New Hampshire Durham NH USA
- Department of Integrative Biology University of Texas at Austin Austin TX USA
- Northern Research Station USDA Forest Service Houghton MI USA
- Department of Crop and Soil Sciences Oregon State University Corvallis OR USA
- Department of Biology Indiana University Bloomington Bloomington IN USA
- Program in Atmospheric and Oceanic Sciences Department of Geosciences Princeton University Princeton NJ USA
- Department of Ecosystem Science and Sustainability Colorado State University Fort Collins CO USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1408535
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Global Change Biology
- Additional Journal Information:
- Journal Name: Global Change Biology Journal Volume: 24 Journal Issue: 3; Journal ID: ISSN 1354-1013
- Publisher:
- Wiley-Blackwell
- Country of Publication:
- United Kingdom
- Language:
- English
Citation Formats
Bailey, Vanessa L., Bond‐Lamberty, Ben, DeAngelis, Kristen, Grandy, A. Stuart, Hawkes, Christine V., Heckman, Kate, Lajtha, Kate, Phillips, Richard P., Sulman, Benjamin N., Todd‐Brown, Katherine E. O., and Wallenstein, Matthew D. Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks. United Kingdom: N. p., 2017.
Web. doi:10.1111/gcb.13926.
Bailey, Vanessa L., Bond‐Lamberty, Ben, DeAngelis, Kristen, Grandy, A. Stuart, Hawkes, Christine V., Heckman, Kate, Lajtha, Kate, Phillips, Richard P., Sulman, Benjamin N., Todd‐Brown, Katherine E. O., & Wallenstein, Matthew D. Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks. United Kingdom. https://doi.org/10.1111/gcb.13926
Bailey, Vanessa L., Bond‐Lamberty, Ben, DeAngelis, Kristen, Grandy, A. Stuart, Hawkes, Christine V., Heckman, Kate, Lajtha, Kate, Phillips, Richard P., Sulman, Benjamin N., Todd‐Brown, Katherine E. O., and Wallenstein, Matthew D. Mon .
"Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks". United Kingdom. https://doi.org/10.1111/gcb.13926.
@article{osti_1408535,
title = {Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks},
author = {Bailey, Vanessa L. and Bond‐Lamberty, Ben and DeAngelis, Kristen and Grandy, A. Stuart and Hawkes, Christine V. and Heckman, Kate and Lajtha, Kate and Phillips, Richard P. and Sulman, Benjamin N. and Todd‐Brown, Katherine E. O. and Wallenstein, Matthew D.},
abstractNote = {Abstract The complexity of processes and interactions that drive soil C dynamics necessitate the use of proxy variables to represent soil characteristics that cannot be directly measured (correlative proxies), or that aggregate information about multiple soil characteristics into one variable (integrative proxies). These proxies have proven useful for understanding the soil C cycle, which is highly variable in both space and time, and are now being used to make predictions of the fate and persistence of C under future climate scenarios. However, the C pools and processes that proxies represent must be thoughtfully considered in order to minimize uncertainties in empirical understanding. This is necessary to capture the full value of a proxy in model parameters and in model outcomes. Here, we provide specific examples of proxy variables that could improve decision‐making, and modeling skill, while also encouraging continued work on their mechanistic underpinnings. We explore the use of three common soil proxies used to study soil C cycling: metabolic quotient, clay content, and physical fractionation. We also consider how emerging data types, such as genome‐sequence data, can serve as proxies for microbial community activities. By examining some broad assumptions in soil C cycling with the proxies already in use, we can develop new hypotheses and specify criteria for new and needed proxies.},
doi = {10.1111/gcb.13926},
journal = {Global Change Biology},
number = 3,
volume = 24,
place = {United Kingdom},
year = {Mon Nov 13 00:00:00 EST 2017},
month = {Mon Nov 13 00:00:00 EST 2017}
}
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