U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights

The Power of Traditional Proxies for Measuring the Soil Carbon Cycle
Published: November 13, 2017
Posted: January 17, 2018

Solid standbys like clay content should not be displaced by new imaging and genetics techniques.

The Science
Near-term land management and policy decisions depend on proxies, which are used as surrogates for soil features and processes and that affect long-term projections of earth system responses to change. In a new paper, soil ecologists from Pacific Northwest National Laboratory review and classify types of complex soil measurements-called proxies  for the purposes of environmental research.

The Impact
Correlative and integrative proxies in soil carbon (C) cycle measurements have continuing importance because they yield significant insight while being simpler, easier, and cheaper to measure than the actual feature being represented. For example, it is easier to measure clay content as an indicator of soil porosity or carbon storage potential, but understanding which feature is being inferred is important to interpreting the research. The thoughtful use of proxies can lead to new hypotheses and experiments to identify causative relationships; not using proxies may result in overweighting of correlations to explain research results and the misrepresentation of mechanisms.

In the long history of environmental, soil, and climate change sciences, researchers have always needed proxy variables to improve how complex variables and processes are measured and represented. They have used tree ring chronologies to infer past climate conditions, for instance. And both experimentalists and modelers widely use clay content as a proxy for properties such as bulk density, water-holding capacity, and soil organic matter.

Because of the complexity of processes and interactions within soil, measuring soil C dynamics is another case in which proxies are necessary.

In this realm, ecologists often use two types of proxies. Correlative proxies represent soil characteristics that cannot be directly measured. Integrative  proxies aggregate information about multiple soil characteristics into one variable. Both of these proxies are useful for understanding the soil C cycle and are now being used to make predictions of the C fate and persistence under future climate scenarios. Still, the authors point out, both proxies limit data interpretation.

Meanwhile, new advances in imaging and proteomics have added capabilities and variables to studying the soil C cycle. But so far, these methods are often more expensive and more difficult to measure directly.

In this paper, the authors advocate for the thoughtful use of appropriate proxies for predicting the soil C cycle. Proxies, they say, are simpler, easier, and cheaper to measure, and if used wisely, can suggest new hypotheses and relationships for future study.

Contacts (BER PM)
Daniel Stover
Daniel.Stover@science.doe.gov (301-903-0289)

(PI Contact)
Vanessa Bailey
vanessa.bailey@pnnl.gov (509-371-6965)

This paper was the product of a working group assembled at a workshop sponsored by the Carbon Cycle Interagency Working Group via the U.S. Carbon Cycle Science Program under the auspices of the U.S. Global Change Research Program, “Celebrating the 2015 International Decade of Soil – Understanding Soil’s Resilience and Vulnerability,” Boulder, CO, March 2016. VLB, BBL, RP, and KD were supported by grants from the U.S. Department of Energy, Office of Science, Biological and Environmental Research as part of the Terrestrial Ecosystem Sciences Program. KL was supported by NSF DEB-1257032. KTB was supported by Linus Pauling Distinguished Postdoctoral Fellowship program, part of the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory.

V. Bailey, et al. “Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks,” Global Change Biology online (2017). [DOI: 10.1111/gcb.13926]

Topic Areas:

  • Research Area: Terrestrial Ecosystem Science

Division: SC-23.1 Climate and Environmental Sciences Division, BER


BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]

May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]

May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]

May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]

Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]

List all highlights (possible long download time)