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Title: Microbial mechanisms and ecosystem flux estimation for aerobic NOy emissions from deciduous forest soils

Abstract

Reactive nitrogen oxides (NOy; NOy = NO + NO2+ HONO) decrease air quality and impact radiative forcing, yet the factors responsible for their emission from nonpoint sources (i.e., soils) remain poorly understood. As such, we investigated the factors that control the production of aerobic NOyin forest soils using molecular techniques, process-based assays, and inhibitor experiments. We subsequently used these data to identify hotspots for gas emissions across forests of the eastern United States. Here, we show that nitrogen oxide soil emissions are mediated by microbial community structure (e.g., ammonium oxidizer abundances), soil chemical characteristics (pH and C:N), and nitrogen (N) transformation rates (net nitrification). We find that, while nitrification rates are controlled primarily by chemoautotrophic ammonia-oxidizing archaea (AOA), the production of NOy is mediated in large part by chemoautotrophic ammonia-oxidizing bacteria (AOB). Variation in nitrification rates and nitrogen oxide emissions tracked variation in forest communities, as stands dominated by arbuscular mycorrhizal (AM) trees had greater N transformation rates and NOy fluxes than stands dominated by ectomycorrhizal (ECM) trees. Given mapped distributions of AM and ECM trees from 78,000 forest inventory plots, we estimate that broadleaf forests of the Midwest and the eastern United States as well as the Mississippi Rivermore » corridor may be considered hotspots of biogenic NOy emissions. Together, our results greatly improve our understanding of NOy fluxes from forests, which should lead to improved predictions about the atmospheric consequences of tree species shifts owing to land management and climate change.« less

Authors:
ORCiD logo; ORCiD logo; ; ; ORCiD logo; ORCiD logo; ; ; ;
Publication Date:
Research Org.:
Indiana Univ., Bloomington, IN (United States)
Sponsoring Org.:
USDOE Office of Science (SC); USDA; National Institute of Food and Agriculture (NIFA); National Science Foundation (NSF)
OSTI Identifier:
1491411
Alternate Identifier(s):
OSTI ID: 1612200
Grant/Contract Number:  
SC0014443; 2013-67011-21095; AGS-1352375
Resource Type:
Published Article
Journal Name:
Proceedings of the National Academy of Sciences of the United States of America
Additional Journal Information:
Journal Name: Proceedings of the National Academy of Sciences of the United States of America Journal Volume: 116 Journal Issue: 6; Journal ID: ISSN 0027-8424
Publisher:
National Academy of Sciences
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 59 BASIC BIOLOGICAL SCIENCES; science & technology - other topics; nitrification; deciduous forests; soil emissions; nitric oxide; nitrous acid

Citation Formats

Mushinski, Ryan M., Phillips, Richard P., Payne, Zachary C., Abney, Rebecca B., Jo, Insu, Fei, Songlin, Pusede, Sally E., White, Jeffrey R., Rusch, Douglas B., and Raff, Jonathan D. Microbial mechanisms and ecosystem flux estimation for aerobic NOy emissions from deciduous forest soils. United States: N. p., 2019. Web. doi:10.1073/pnas.1814632116.
Mushinski, Ryan M., Phillips, Richard P., Payne, Zachary C., Abney, Rebecca B., Jo, Insu, Fei, Songlin, Pusede, Sally E., White, Jeffrey R., Rusch, Douglas B., & Raff, Jonathan D. Microbial mechanisms and ecosystem flux estimation for aerobic NOy emissions from deciduous forest soils. United States. https://doi.org/10.1073/pnas.1814632116
Mushinski, Ryan M., Phillips, Richard P., Payne, Zachary C., Abney, Rebecca B., Jo, Insu, Fei, Songlin, Pusede, Sally E., White, Jeffrey R., Rusch, Douglas B., and Raff, Jonathan D. Fri . "Microbial mechanisms and ecosystem flux estimation for aerobic NOy emissions from deciduous forest soils". United States. https://doi.org/10.1073/pnas.1814632116.
@article{osti_1491411,
title = {Microbial mechanisms and ecosystem flux estimation for aerobic NOy emissions from deciduous forest soils},
author = {Mushinski, Ryan M. and Phillips, Richard P. and Payne, Zachary C. and Abney, Rebecca B. and Jo, Insu and Fei, Songlin and Pusede, Sally E. and White, Jeffrey R. and Rusch, Douglas B. and Raff, Jonathan D.},
abstractNote = {Reactive nitrogen oxides (NOy; NOy = NO + NO2+ HONO) decrease air quality and impact radiative forcing, yet the factors responsible for their emission from nonpoint sources (i.e., soils) remain poorly understood. As such, we investigated the factors that control the production of aerobic NOyin forest soils using molecular techniques, process-based assays, and inhibitor experiments. We subsequently used these data to identify hotspots for gas emissions across forests of the eastern United States. Here, we show that nitrogen oxide soil emissions are mediated by microbial community structure (e.g., ammonium oxidizer abundances), soil chemical characteristics (pH and C:N), and nitrogen (N) transformation rates (net nitrification). We find that, while nitrification rates are controlled primarily by chemoautotrophic ammonia-oxidizing archaea (AOA), the production of NOy is mediated in large part by chemoautotrophic ammonia-oxidizing bacteria (AOB). Variation in nitrification rates and nitrogen oxide emissions tracked variation in forest communities, as stands dominated by arbuscular mycorrhizal (AM) trees had greater N transformation rates and NOy fluxes than stands dominated by ectomycorrhizal (ECM) trees. Given mapped distributions of AM and ECM trees from 78,000 forest inventory plots, we estimate that broadleaf forests of the Midwest and the eastern United States as well as the Mississippi River corridor may be considered hotspots of biogenic NOy emissions. Together, our results greatly improve our understanding of NOy fluxes from forests, which should lead to improved predictions about the atmospheric consequences of tree species shifts owing to land management and climate change.},
doi = {10.1073/pnas.1814632116},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
number = 6,
volume = 116,
place = {United States},
year = {Fri Jan 18 00:00:00 EST 2019},
month = {Fri Jan 18 00:00:00 EST 2019}
}

Journal Article:
Free Publicly Available Full Text
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https://doi.org/10.1073/pnas.1814632116

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Cited by: 49 works
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