Abstract
Global soil carbon (C) stocks are expected to decline with warming, and changes in microbial processes are key to this projection. However, warming responses of critical microbial parameters such as carbon use efficiency (CUE) and biomass turnover (rB) are not well understood. Here, we determine these parameters using a probabilistic inversion approach that integrates a microbial-enzyme model with 22 years of carbon cycling measurements at Harvard Forest. We find that increasing temperature reduces CUE but increases rB, and that two decades of soil warming increases the temperature sensitivities of CUE and rB. These temperature sensitivities, which are derived from decades-long field observations, contrast with values obtained from short-term laboratory experiments. We also show that long-term soil C flux and pool changes in response to warming are more dependent on the temperature sensitivity of CUE than that of rB. Using the inversion-derived parameters, we project that chronic soil warming at Harvard Forest over six decades will result in soil C gain of <1.0% on average (1st and 3rd quartiles: 3.0% loss and 10.5% gain) in the surface mineral horizon. Our results demonstrate that estimates of temperature sensitivity of microbial CUE and rB can be obtained and evaluated rigorously by integrating multidecadal datasets. This approach can potentially be applied in broader spatiotemporal scales to improve long-term projections of soil C feedbacks to climate warming.
Original language | English |
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Pages (from-to) | 900-910 |
Number of pages | 11 |
Journal | Global Change Biology |
Volume | 25 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2019 |
Funding
JWL and GSW contributed equally to the work. This study was financially supported by a USDA Evans Allen (Grant No. 1005761) and the US DOE Visiting Faculty Program (VFP) grant, both awarded to JWL. The US Department of Energy (DOE) Office of Biological and Environmental Research (BER) Terrestrial Ecosystem Science (TES) Program provided funding for MAM and GSW through Oak Ridge National Laboratory's (ORNL) TES Science Focus Area, and SDA through grant number DESC0014374. ORNL is managed by the University of Tennessee-Battelle, LLC, under contract DE-AC05-00OR22725 with the US DOE. Grant support for the initiation and maintenance of the soil warming experiments at Harvard Forest has been provided to JMM and SDF through the DOE DE-SC0010740; DE-SC0016590; DE-FC02-06ER64157; and the National Science Foundation DEB 1237491 (LTER); DEB 1456528 (LTREB); DEB-0447967 (CAREER). We appreciate the anonymous reviewers for their constructive and insightful comments and suggestions. JWL and GSW contributed equally to the work. This study was financially supported by a USDA Evans Allen (Grant No. 1005761) and the US DOE Visiting Faculty Program (VFP) grant, both awarded to JWL. The US Department of Energy (DOE) Office of Biological and Environmental Research (BER) Terrestrial Ecosystem Science (TES) Program provided funding for MAM and GSW through Oak Ridge National Laboratory's (ORNL) TES Science Focus Area, and SDA through grant number DESC0014374. ORNL is managed by the University of Tennessee‐Battelle, LLC, under contract DE‐AC05‐00OR22725 with the US DOE. Grant support for the initiation and maintenance of the soil warming experiments at Harvard Forest has been provided to JMM and SDF through the DOE DE‐SC0010740; DE‐SC0016590; DE‐ FC02‐06ER64157; and the National Science Foundation DEB 1237491 (LTER); DEB 1456528 (LTREB); DEB‐0447967 (CAREER). We appreciate the anonymous reviewers for their constructive and insightful comments and suggestions.
Funders | Funder number |
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Office of Biological and Environmental Research | |
US Department of Energy | |
USDA Evans Allen | 1005761 |
University of Tennessee-Battelle | DE-SC0010740, DE-SC0016590 |
University of Tennessee‐Battelle | DE‐AC05‐00OR22725, DE‐ FC02‐06ER64157 |
National Science Foundation | DEB‐0447967, DEB 1237491, 1237491, DEB 1456528 |
U.S. Department of Energy | |
Biological and Environmental Research | |
Oak Ridge National Laboratory | |
Sveriges Tandläkarförbund | DESC0014374 |
Keywords
- Harvard forest
- carbon use efficiency (CUE)
- data-model integration
- microbial biomass turnover (rB)
- soil warming
- temperature sensitivity