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Assessing the impact of crops on regional CO{sub 2} fluxes and atmospheric concentrations

Abstract

Human conversion of natural ecosystems to croplands modifies not only the exchange of water and energy between the surface and the atmosphere, but also carbon fluxes. To investigate the impacts of crops on carbon fluxes and resulting atmospheric CO{sub 2} concentrations in the mid-continent region of the United States, we coupled a crop-specific phenology and physiology scheme for corn, soybean and wheat to the coupled ecosystem-atmosphere model SiB3-RAMS. Using SiBcrop-RAMS improved carbon fluxes at the local scale and had regional impacts, decreasing the spring uptake and increasing the summer uptake over the mid-continent. The altered fluxes changed the mid-continent atmospheric CO{sub 2} concentration field at 120 m compared to simulations without crops: concentrations increased in May and decreased >20 ppm during July and August, summer diurnal cycle amplitudes increased, synoptic variability correlations improved and the gradient across the mid-continent region increased. These effects combined to reduce the squared differences between the model and high-precision tower CO{sub 2} concentrations by 20%. Synoptic transport of the large-scale N-S gradient caused significant day-to-day variability in concentration differences measured between the towers. This simulation study shows that carbon exchange between crops and the atmosphere significantly impacts regional CO{sub 2} fluxes and concentrations
Authors:
Corbin, K. D. (Commonwealth Scientific and Industrial Research Organization (CSIRO), Marine and Atmospheric Research, Aspendale (Australia)), e-mail: katherine.corbin@csiro.au; Denning, A S; Lokupitiya, E Y; Schuh, A E; Baker, I T; [1]  Miles, N L; Davis, K J; Richardson, S [2] 
  1. Dept. of Atmospheric Science, Colorado State Univ., Fort Collins, CO (United States)
  2. Dept. of Meteorology, Pennsylvania State Univ., University Park, PA (United States)
Publication Date:
Nov 15, 2010
Product Type:
Journal Article
Resource Relation:
Journal Name: Tellus, Series B: Chemical and Physical Meteorology; Journal Volume: 62B; Journal Issue: 5; Conference: ICDC8: 8. international carbon dioxide conference, Jena (Germany), 09/13/2009--09/19/2009; Other Information: Conference Literature; 36 refs., 7 figs., 2 tabs.; 10.1111/J.1600-0889.2010.00485.X
Subject:
54 ENVIRONMENTAL SCIENCES; CARBON DIOXIDE; CROPS; USA; SEASONAL VARIATIONS; EARTH ATMOSPHERE; ECOSYSTEMS
OSTI ID:
1010801
Country of Origin:
Sweden
Language:
English
Other Identifying Numbers:
Journal ID: ISSN 0280-6509; TRN: SE1107069
Availability:
Available from DOI: http://dx.doi.org/10.1111/j.1600-0889.2010.00485.x
Submitting Site:
SWD
Size:
page(s) 521-532
Announcement Date:
Apr 11, 2011

Citation Formats

Corbin, K. D. (Commonwealth Scientific and Industrial Research Organization (CSIRO), Marine and Atmospheric Research, Aspendale (Australia)), e-mail: katherine.corbin@csiro.au, Denning, A S, Lokupitiya, E Y, Schuh, A E, Baker, I T, Miles, N L, Davis, K J, and Richardson, S. Assessing the impact of crops on regional CO{sub 2} fluxes and atmospheric concentrations. Sweden: N. p., 2010. Web. doi:10.1111/J.1600-0889.2010.00485.X.
Corbin, K. D. (Commonwealth Scientific and Industrial Research Organization (CSIRO), Marine and Atmospheric Research, Aspendale (Australia)), e-mail: katherine.corbin@csiro.au, Denning, A S, Lokupitiya, E Y, Schuh, A E, Baker, I T, Miles, N L, Davis, K J, & Richardson, S. Assessing the impact of crops on regional CO{sub 2} fluxes and atmospheric concentrations. Sweden. doi:10.1111/J.1600-0889.2010.00485.X.
Corbin, K. D. (Commonwealth Scientific and Industrial Research Organization (CSIRO), Marine and Atmospheric Research, Aspendale (Australia)), e-mail: katherine.corbin@csiro.au, Denning, A S, Lokupitiya, E Y, Schuh, A E, Baker, I T, Miles, N L, Davis, K J, and Richardson, S. 2010. "Assessing the impact of crops on regional CO{sub 2} fluxes and atmospheric concentrations." Sweden. doi:10.1111/J.1600-0889.2010.00485.X. https://www.osti.gov/servlets/purl/10.1111/J.1600-0889.2010.00485.X.
@misc{etde_1010801,
title = {Assessing the impact of crops on regional CO{sub 2} fluxes and atmospheric concentrations}
author = {Corbin, K. D. (Commonwealth Scientific and Industrial Research Organization (CSIRO), Marine and Atmospheric Research, Aspendale (Australia)), e-mail: katherine.corbin@csiro.au, Denning, A S, Lokupitiya, E Y, Schuh, A E, Baker, I T, Miles, N L, Davis, K J, and Richardson, S}
abstractNote = {Human conversion of natural ecosystems to croplands modifies not only the exchange of water and energy between the surface and the atmosphere, but also carbon fluxes. To investigate the impacts of crops on carbon fluxes and resulting atmospheric CO{sub 2} concentrations in the mid-continent region of the United States, we coupled a crop-specific phenology and physiology scheme for corn, soybean and wheat to the coupled ecosystem-atmosphere model SiB3-RAMS. Using SiBcrop-RAMS improved carbon fluxes at the local scale and had regional impacts, decreasing the spring uptake and increasing the summer uptake over the mid-continent. The altered fluxes changed the mid-continent atmospheric CO{sub 2} concentration field at 120 m compared to simulations without crops: concentrations increased in May and decreased >20 ppm during July and August, summer diurnal cycle amplitudes increased, synoptic variability correlations improved and the gradient across the mid-continent region increased. These effects combined to reduce the squared differences between the model and high-precision tower CO{sub 2} concentrations by 20%. Synoptic transport of the large-scale N-S gradient caused significant day-to-day variability in concentration differences measured between the towers. This simulation study shows that carbon exchange between crops and the atmosphere significantly impacts regional CO{sub 2} fluxes and concentrations}
doi = {10.1111/J.1600-0889.2010.00485.X}
journal = {Tellus, Series B: Chemical and Physical Meteorology}
issue = {5}
volume = {62B}
place = {Sweden}
year = {2010}
month = {Nov}
}