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Title: Data for "Soil carbon dynamics during drying vs. rewetting: Importance of antecedent moisture conditions"

Abstract

This dataset contains data used for the paper "Soil carbon dynamics during drying vs. rewetting: importance of antecedent moisture conditions". The Related References field will be updated with a full citation when available.Soil moisture influences soil carbon dynamics, including microbial growth and respiration. The response of such ‘soil respiration’ to moisture changes is generally assumed to be linear and reversible, i.e. to depend only on the current moisture state. Current models thus do not account for antecedent soil moisture conditions when determining soil respiration or the available substrate pool. We conducted a laboratory incubation to determine how the antecedent conditions of drought and flood influenced soil organic matter (SOM) chemistry, bioavailability, and respiration. We sampled soils from an upland coastal forest, Beaver Creek, WA USA, and subjected them to drying and rewetting treatments. For the drying treatment, field moist soils were saturated and then dried to 75, 50, 35, and 5 % saturation. In the rewetting treatment, field moist soils were air-dried and then rewet to 35, 50, 75, and 100 % saturation. We measured respiration and water extractable organic carbon (WEOC) concentrations and used 1H-NMR and FT-ICR-MS to characterize the WEOC pool across the treatments. The drying vs. wettingmore » treatment strongly influenced SOM bioavailability, as rewet soils (with antecedent drought) had greater WEOC concentrations and respiration fluxes compared to the drying soils (with antecedent flood). In addition, air-dry soils had the highest WEOC concentrations, and the NMR-resolved peaks showed a strong contribution of protein groups in these soils. Both NMR and FT-ICR-MS analyses indicated increased contribution of complex aromatic groups/molecules in the rewet soils, compared to the drying soils. We suggest that drying introduced organic matter into the WEOC pool via desorption of aromatic molecules and/or by microbial cell lysis, and this stimulated microbial mineralization rates. Our work indicates that even short-term shifts in antecedent moisture conditions can strongly influence soil C dynamics at the core scale. The predictive uncertainties in current soil models may be reduced by a more accurate representation of soil water and C persistence that includes a mechanistic and quantitative understanding of the impact of antecedent moisture conditions.This dataset contains a compressed (.zip) archive of the data and R scripts used for this manuscript. The dataset includes files in .csv and .txt format, which can be accessed and processed using MS Excel or R. NMR data are provided as raw output data (accessed in Bruker TopSpin or MestreNova) as well as the MestreNova-processed files. This archive can also be accessed on GitHub at https://github.com/kaizadp/hysteresis_and_soil_carbon (DOI: 10.5281/zenodo.4432885).« less

Authors:
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  1. Washington State Department of Ecology
Publication Date:
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Soil Carbon Biogeochemistry
Sponsoring Org.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES
Keywords:
soil organic matter; carbon destabilization; drying and rewetting; EARTH SCIENCE > LAND SURFACE > SOILS; 1H-NMR; FT-ICR-MS; carbon dioxide; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT; EARTH SCIENCE > LAND SURFACE > SOILS > CARBON
Geolocation:
46.907,-123.976|46.907,-123.976|46.907,-123.976|46.907,-123.976|46.907,-123.976
OSTI Identifier:
1764443
DOI:
https://doi.org/10.15485/1764443
Project Location:


Citation Formats

Patel, Kaizad, Myers-Pigg, Allison, Norris, Cooper, Fansler, Sarah, Bond-Lamberty, Ben, Zheng, Jianqiu, Rod, Kenton, McKever, Sophia, and Baiey, Vanessa. Data for "Soil carbon dynamics during drying vs. rewetting: Importance of antecedent moisture conditions". United States: N. p., 2021. Web. doi:10.15485/1764443.
Patel, Kaizad, Myers-Pigg, Allison, Norris, Cooper, Fansler, Sarah, Bond-Lamberty, Ben, Zheng, Jianqiu, Rod, Kenton, McKever, Sophia, & Baiey, Vanessa. Data for "Soil carbon dynamics during drying vs. rewetting: Importance of antecedent moisture conditions". United States. doi:https://doi.org/10.15485/1764443
Patel, Kaizad, Myers-Pigg, Allison, Norris, Cooper, Fansler, Sarah, Bond-Lamberty, Ben, Zheng, Jianqiu, Rod, Kenton, McKever, Sophia, and Baiey, Vanessa. 2021. "Data for "Soil carbon dynamics during drying vs. rewetting: Importance of antecedent moisture conditions"". United States. doi:https://doi.org/10.15485/1764443. https://www.osti.gov/servlets/purl/1764443. Pub date:Fri Jan 01 00:00:00 EST 2021
@article{osti_1764443,
title = {Data for "Soil carbon dynamics during drying vs. rewetting: Importance of antecedent moisture conditions"},
author = {Patel, Kaizad and Myers-Pigg, Allison and Norris, Cooper and Fansler, Sarah and Bond-Lamberty, Ben and Zheng, Jianqiu and Rod, Kenton and McKever, Sophia and Baiey, Vanessa},
abstractNote = {This dataset contains data used for the paper "Soil carbon dynamics during drying vs. rewetting: importance of antecedent moisture conditions". The Related References field will be updated with a full citation when available.Soil moisture influences soil carbon dynamics, including microbial growth and respiration. The response of such ‘soil respiration’ to moisture changes is generally assumed to be linear and reversible, i.e. to depend only on the current moisture state. Current models thus do not account for antecedent soil moisture conditions when determining soil respiration or the available substrate pool. We conducted a laboratory incubation to determine how the antecedent conditions of drought and flood influenced soil organic matter (SOM) chemistry, bioavailability, and respiration. We sampled soils from an upland coastal forest, Beaver Creek, WA USA, and subjected them to drying and rewetting treatments. For the drying treatment, field moist soils were saturated and then dried to 75, 50, 35, and 5 % saturation. In the rewetting treatment, field moist soils were air-dried and then rewet to 35, 50, 75, and 100 % saturation. We measured respiration and water extractable organic carbon (WEOC) concentrations and used 1H-NMR and FT-ICR-MS to characterize the WEOC pool across the treatments. The drying vs. wetting treatment strongly influenced SOM bioavailability, as rewet soils (with antecedent drought) had greater WEOC concentrations and respiration fluxes compared to the drying soils (with antecedent flood). In addition, air-dry soils had the highest WEOC concentrations, and the NMR-resolved peaks showed a strong contribution of protein groups in these soils. Both NMR and FT-ICR-MS analyses indicated increased contribution of complex aromatic groups/molecules in the rewet soils, compared to the drying soils. We suggest that drying introduced organic matter into the WEOC pool via desorption of aromatic molecules and/or by microbial cell lysis, and this stimulated microbial mineralization rates. Our work indicates that even short-term shifts in antecedent moisture conditions can strongly influence soil C dynamics at the core scale. The predictive uncertainties in current soil models may be reduced by a more accurate representation of soil water and C persistence that includes a mechanistic and quantitative understanding of the impact of antecedent moisture conditions.This dataset contains a compressed (.zip) archive of the data and R scripts used for this manuscript. The dataset includes files in .csv and .txt format, which can be accessed and processed using MS Excel or R. NMR data are provided as raw output data (accessed in Bruker TopSpin or MestreNova) as well as the MestreNova-processed files. This archive can also be accessed on GitHub at https://github.com/kaizadp/hysteresis_and_soil_carbon (DOI: 10.5281/zenodo.4432885).},
doi = {10.15485/1764443},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 2021},
month = {Fri Jan 01 00:00:00 EST 2021}
}