Carbon cycle confidence and uncertainty: Exploring variation among soil biogeochemical models
Abstract
Emerging insights into factors responsible for soil organic matter stabilization and decomposition are being applied in a variety of contexts, but new tools are needed to facilitate the understanding, evaluation, and improvement of soil biogeochemical theory and models at regional to global scales. To isolate the effects of model structural uncertainty on the global distribution of soil carbon stocks and turnover times we developed a soil biogeochemical testbed that forces three different soil models with consistent climate and plant productivity inputs. The models tested here include a first-order, microbial implicit approach (CASA-CNP), and two recently developed microbially explicit models that can be run at global scales (MIMICS and CORPSE). When forced with common environmental drivers, the soil models generated similar estimates of initial soil carbon stocks (roughly 1,400 Pg C globally, 0–100 cm), but each model shows a different functional relationship between mean annual temperature and inferred turnover times. Subsequently, the models made divergent projections about the fate of these soil carbon stocks over the 20th century, with models either gaining or losing over 20 Pg C globally between 1901 and 2010. Single-forcing experiments with changed inputs, temperature, and moisture suggest that uncertainty associated with freeze-thaw processes as well asmore »
- Authors:
-
[1];
- Univ. of Colorado, Boulder, CO (United States); National Center for Atmospheric Research, Boulder, CO (United States)
- National Center for Atmospheric Research, Boulder, CO (United States); Colorado State Univ., Fort Collins, CO (United States)
- Princeton Univ., Princeton, NJ (United States)
- Chinese Academy of Sciences, Guangzhou (China); CSIRO Oceans and Atmosphere, Aspendale, VIC (Australia)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- National Center for Atmospheric Research, Boulder, CO (United States)
- Publication Date:
- Research Org.:
- Univ. of Colorado, Boulder, CO (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Cornell Univ., Ithaca, NY (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1411020
- Alternate Identifier(s):
- OSTI ID: 1410374; OSTI ID: 1477279; OSTI ID: 1863823
- Grant/Contract Number:
- SC0014374; TES SC0014374; BSS SC0016364; AC02-05CH11231; SC0016364
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Global Change Biology
- Additional Journal Information:
- Journal Volume: 24; Journal Issue: 4; Journal ID: ISSN 1354-1013
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; biogeochemistry; carbon cycle; earth system models; global change; microbial models; soil organic matter; structural uncertainty; turnover time
Citation Formats
Wieder, William R., Hartman, Melannie D., Sulman, Benjamin N., Wang, Ying -Ping, Koven, Charles D., and Bonan, Gordon B. Carbon cycle confidence and uncertainty: Exploring variation among soil biogeochemical models. United States: N. p., 2017.
Web. doi:10.1111/gcb.13979.
Wieder, William R., Hartman, Melannie D., Sulman, Benjamin N., Wang, Ying -Ping, Koven, Charles D., & Bonan, Gordon B. Carbon cycle confidence and uncertainty: Exploring variation among soil biogeochemical models. United States. https://doi.org/10.1111/gcb.13979
Wieder, William R., Hartman, Melannie D., Sulman, Benjamin N., Wang, Ying -Ping, Koven, Charles D., and Bonan, Gordon B. Thu .
"Carbon cycle confidence and uncertainty: Exploring variation among soil biogeochemical models". United States. https://doi.org/10.1111/gcb.13979. https://www.osti.gov/servlets/purl/1411020.
@article{osti_1411020,
title = {Carbon cycle confidence and uncertainty: Exploring variation among soil biogeochemical models},
author = {Wieder, William R. and Hartman, Melannie D. and Sulman, Benjamin N. and Wang, Ying -Ping and Koven, Charles D. and Bonan, Gordon B.},
abstractNote = {Emerging insights into factors responsible for soil organic matter stabilization and decomposition are being applied in a variety of contexts, but new tools are needed to facilitate the understanding, evaluation, and improvement of soil biogeochemical theory and models at regional to global scales. To isolate the effects of model structural uncertainty on the global distribution of soil carbon stocks and turnover times we developed a soil biogeochemical testbed that forces three different soil models with consistent climate and plant productivity inputs. The models tested here include a first-order, microbial implicit approach (CASA-CNP), and two recently developed microbially explicit models that can be run at global scales (MIMICS and CORPSE). When forced with common environmental drivers, the soil models generated similar estimates of initial soil carbon stocks (roughly 1,400 Pg C globally, 0–100 cm), but each model shows a different functional relationship between mean annual temperature and inferred turnover times. Subsequently, the models made divergent projections about the fate of these soil carbon stocks over the 20th century, with models either gaining or losing over 20 Pg C globally between 1901 and 2010. Single-forcing experiments with changed inputs, temperature, and moisture suggest that uncertainty associated with freeze-thaw processes as well as soil textural effects on soil carbon stabilization were larger than direct temperature uncertainties among models. Finally, the models generated distinct projections about the timing and magnitude of seasonal heterotrophic respiration rates, again reflecting structural uncertainties that were related to environmental sensitivities and assumptions about physicochemical stabilization of soil organic matter. Here, by providing a computationally tractable and numerically consistent framework to evaluate models we aim to better understand uncertainties among models and generate insights about factors regulating the turnover of soil organic matter.},
doi = {10.1111/gcb.13979},
journal = {Global Change Biology},
number = 4,
volume = 24,
place = {United States},
year = {Thu Nov 09 00:00:00 EST 2017},
month = {Thu Nov 09 00:00:00 EST 2017}
}
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