U.S. Department of EnergyOffice of Scientific and Technical Information
Data for: Time to anoxia: Observations and predictions of oxygen drawdown following coastal flood events
Abstract
This dataset contains data and code associated with the paper Patel et al. "Time to anoxia: Observations and predictions of oxygen drawdown following coastal flood events".The coastal terrestrial-aquatic interface (TAI) is a highly dynamic system characterized by strong physical, chemical, and biological gradients. In particular, shifting soil redox conditions and consumption of terminal electron acceptors, due in part to dynamic hydrologic conditions, is a strong driver of carbon availability and transformations across TAIs. However, while redox dynamics are well described, our ability to quantitatively forecast rates of oxic to anoxic shifts in soils with different characteristics and inundation regimes is limited. We integrated field measurements, laboratory incubations, and model simulations to improve mechanistic understanding of oxygen consumption dynamics in coastal soils. Continuous in situ monitoring unexpectedly revealed that flooding caused temporary spikes in subsurface dissolved oxygen followed by rapid consumption in the wetlands. To further investigate these mechanisms in a controlled setting, we performed laboratory incubations using surface and subsurface soils from a TAI gradient (defined here as upland forest to transitional forest to wetland) in Western Lake Erie to measure oxygen consumption rates in TAI soils during flood events. In our experiments, wetland soils reached anoxia the fastest, inmore »
- Publication Date:
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem; COMPASS-FME
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > AGRICULTURE > SOILS; model-experiment integration; wetlands
- OSTI Identifier:
- 2322568
- DOI:
- https://doi.org/10.15485/2322568
Citation Formats
Patel, Kaizad, Rod, Kenton, Zheng, Jianqiu, Regier, Peter, and Machado-Silva, Fausto. Data for: Time to anoxia: Observations and predictions of oxygen drawdown following coastal flood events. United States: N. p., 2024.
Web. doi:10.15485/2322568.
Patel, Kaizad, Rod, Kenton, Zheng, Jianqiu, Regier, Peter, & Machado-Silva, Fausto. Data for: Time to anoxia: Observations and predictions of oxygen drawdown following coastal flood events. United States. doi:https://doi.org/10.15485/2322568
Patel, Kaizad, Rod, Kenton, Zheng, Jianqiu, Regier, Peter, and Machado-Silva, Fausto. 2024.
"Data for: Time to anoxia: Observations and predictions of oxygen drawdown following coastal flood events". United States. doi:https://doi.org/10.15485/2322568. https://www.osti.gov/servlets/purl/2322568. Pub date:Mon Jan 01 04:00:00 UTC 2024
@article{osti_2322568,
title = {Data for: Time to anoxia: Observations and predictions of oxygen drawdown following coastal flood events},
author = {Patel, Kaizad and Rod, Kenton and Zheng, Jianqiu and Regier, Peter and Machado-Silva, Fausto},
abstractNote = {This dataset contains data and code associated with the paper Patel et al. "Time to anoxia: Observations and predictions of oxygen drawdown following coastal flood events".The coastal terrestrial-aquatic interface (TAI) is a highly dynamic system characterized by strong physical, chemical, and biological gradients. In particular, shifting soil redox conditions and consumption of terminal electron acceptors, due in part to dynamic hydrologic conditions, is a strong driver of carbon availability and transformations across TAIs. However, while redox dynamics are well described, our ability to quantitatively forecast rates of oxic to anoxic shifts in soils with different characteristics and inundation regimes is limited. We integrated field measurements, laboratory incubations, and model simulations to improve mechanistic understanding of oxygen consumption dynamics in coastal soils. Continuous in situ monitoring unexpectedly revealed that flooding caused temporary spikes in subsurface dissolved oxygen followed by rapid consumption in the wetlands. To further investigate these mechanisms in a controlled setting, we performed laboratory incubations using surface and subsurface soils from a TAI gradient (defined here as upland forest to transitional forest to wetland) in Western Lake Erie to measure oxygen consumption rates in TAI soils during flood events. In our experiments, wetland soils reached anoxia the fastest, in ∼ 9 h on average, whereas upland soils turned anoxic in ∼ 18 h. Subsurface upland soils did not turn anoxic even after two weeks of saturation in the lab, and their oxygen consumption patterns suggested carbon and/or nutrient limitation. These results are consistent with in-situ groundwater redox and oxygen measurements in the field, where wetland soils exhibited the highest rates of oxygen consumption along the TAI. Model simulations of oxygen consumption suggested that oxygen consumption had stronger abiotic controls in wetland soils but stronger biotic controls in upland soils, providing a useful framework for future incubation experiments. Microbial activity is a strong driver of oxygen consumption in TAI soils, although it is constrained by the availability of dissolved carbon in subsurface soils.This dataset contains a compressed (.zip) archive of the data and R scripts used for this manuscript. The dataset includes files in .csv format, which can be accessed and processed using MS Excel or R. This archive can also be accessed on GitHub at https://github.com/COMPASS-DOE/cmps-time_to_anoxia (DOI: 10.5281/zenodo.10815374).},
doi = {10.15485/2322568},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2024},
month = {1}
}