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Title: Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients

Abstract

Developing and testing decadal-scale predictions of soil response to climate change is difficult because there are few long-term warming experiments or other direct observations of temperature response. As a result, spatial variation in temperature is often used to characterize the influence of temperature on soil organic carbon (SOC) stocks under current and warmer temperatures. This approach assumes that the decadal-scale response of SOC to warming is similar to the relationship between temperature and SOC stocks across sites that are at quasi steady state; however, this assumption is poorly tested. We developed four variants of a Reaction-network-based model of soil organic matter and microbes using measured SOC stocks from a 4,000-km latitudinal transect. Each variant reflects different assumptions about the temperature sensitivities of microbial activity and mineral sorption. All four model variants predicted the same response of SOC to temperature at steady state, but different projections of transient warming responses. The relative importance of Qmax, mean annual temperature, and net primary production, assessed using a machine-learning algorithm, changed depending on warming duration. When mineral sorption was temperature sensitive, the predicted average change in SOC after 100 years of 5 °C warming was –18% if warming decreased sorption or +9% if warmingmore » increased sorption. When microbial activity was temperature sensitive but mineral sorption was not, average site-level SOC loss was 5%. Here, we conclude that spatial climate gradients of SOC stocks are insufficient to constrain the transient response; measurements that distinguish process controls and/or observations from long-term warming experiments, especially mineral fractions, are needed.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [4]
+ Show Author Affiliations
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Lab. des Sciences du Climat et de l'Environnment, Gif‐sur‐Yvette (France)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
  3. Lawrence Berkeley National Laboratory Berkeley CA USA; University of California, Berkeley Berkeley CA USA
  4. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1574331
Alternate Identifier(s):
OSTI ID: 1560217
Grant/Contract Number:  
AC02-05CH11231; AC02‐05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Global Biogeochemical Cycles
Additional Journal Information:
Journal Volume: 33; Journal Issue: 6; Journal ID: ISSN 0886-6236
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 59 BASIC BIOLOGICAL SCIENCES; microbial dynamics; soil modeling; organomineral associations; temperature sensitivity; soil carbon; climate change

Citation Formats

Abramoff, Rose Z., Torn, Margaret S., Georgiou, Katerina, Tang, Jinyun, and Riley, William J. Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients. United States: N. p., 2019. Web. doi:10.1029/2018gb006001.
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Abramoff, Rose Z., Torn, Margaret S., Georgiou, Katerina, Tang, Jinyun, & Riley, William J. Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients. United States. https://doi.org/10.1029/2018gb006001
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Abramoff, Rose Z., Torn, Margaret S., Georgiou, Katerina, Tang, Jinyun, and Riley, William J. Mon . "Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients". United States. https://doi.org/10.1029/2018gb006001. https://www.osti.gov/servlets/purl/1574331.
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@article{osti_1574331,
title = {Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients},
author = {Abramoff, Rose Z. and Torn, Margaret S. and Georgiou, Katerina and Tang, Jinyun and Riley, William J.},
abstractNote = {Developing and testing decadal-scale predictions of soil response to climate change is difficult because there are few long-term warming experiments or other direct observations of temperature response. As a result, spatial variation in temperature is often used to characterize the influence of temperature on soil organic carbon (SOC) stocks under current and warmer temperatures. This approach assumes that the decadal-scale response of SOC to warming is similar to the relationship between temperature and SOC stocks across sites that are at quasi steady state; however, this assumption is poorly tested. We developed four variants of a Reaction-network-based model of soil organic matter and microbes using measured SOC stocks from a 4,000-km latitudinal transect. Each variant reflects different assumptions about the temperature sensitivities of microbial activity and mineral sorption. All four model variants predicted the same response of SOC to temperature at steady state, but different projections of transient warming responses. The relative importance of Qmax, mean annual temperature, and net primary production, assessed using a machine-learning algorithm, changed depending on warming duration. When mineral sorption was temperature sensitive, the predicted average change in SOC after 100 years of 5 °C warming was –18% if warming decreased sorption or +9% if warming increased sorption. When microbial activity was temperature sensitive but mineral sorption was not, average site-level SOC loss was 5%. Here, we conclude that spatial climate gradients of SOC stocks are insufficient to constrain the transient response; measurements that distinguish process controls and/or observations from long-term warming experiments, especially mineral fractions, are needed.},
doi = {10.1029/2018gb006001},
journal = {Global Biogeochemical Cycles},
number = 6,
volume = 33,
place = {United States},
year = {Mon May 06 00:00:00 EDT 2019},
month = {Mon May 06 00:00:00 EDT 2019}
}
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https://doi.org/10.1029/2018gb006001
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