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Accuracy and precision of tidal wetland soil carbon mapping in the conterminous United States

Authors :
Holmquist, James R.
Windham-Myers, Lisamarie
Bliss, Norman B.
Crooks, Stephen
Morris, James T.
Megonigal, J. Patrick
Troxler, Tiffany G.
Weller, Donald
Callaway, John
Drexler, Judith
Ferner, Matthew C.
Gonneea, Meagan E.
Kroeger, Kevin D.
Schile-Beers, Lisa
Woo, Isa
Buffington, Kevin
Breithaupt, Joshua
Boyd, Brandon M.
Brown, Lauren N.
Dix, Nicole
Hice, Lyndie
Horton, Benjamin P.
MacDonald, Glen M.
Moyer, Ryan P.
Reay, William
Shaw, Timothy
Smith, Erik
Smoak, Joseph M.
Sommerfield, Christopher K.
Thorne, Karen
Velinsky, David
Watson, Elizabeth
Wilson Grimes, Kristin
Woodrey, Mark
Holmquist, James R.
Windham-Myers, Lisamarie
Bliss, Norman B.
Crooks, Stephen
Morris, James T.
Megonigal, J. Patrick
Troxler, Tiffany G.
Weller, Donald
Callaway, John
Drexler, Judith
Ferner, Matthew C.
Gonneea, Meagan E.
Kroeger, Kevin D.
Schile-Beers, Lisa
Woo, Isa
Buffington, Kevin
Breithaupt, Joshua
Boyd, Brandon M.
Brown, Lauren N.
Dix, Nicole
Hice, Lyndie
Horton, Benjamin P.
MacDonald, Glen M.
Moyer, Ryan P.
Reay, William
Shaw, Timothy
Smith, Erik
Smoak, Joseph M.
Sommerfield, Christopher K.
Thorne, Karen
Velinsky, David
Watson, Elizabeth
Wilson Grimes, Kristin
Woodrey, Mark
Publication Year :
2018

Abstract

© The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Scientific Reports 8 (2018): 9478, doi:10.1038/s41598-018-26948-7.<br />Tidal wetlands produce long-term soil organic carbon (C) stocks. Thus for carbon accounting purposes, we need accurate and precise information on the magnitude and spatial distribution of those stocks. We assembled and analyzed an unprecedented soil core dataset, and tested three strategies for mapping carbon stocks: applying the average value from the synthesis to mapped tidal wetlands, applying models fit using empirical data and applied using soil, vegetation and salinity maps, and relying on independently generated soil carbon maps. Soil carbon stocks were far lower on average and varied less spatially and with depth than stocks calculated from available soils maps. Further, variation in carbon density was not well-predicted based on climate, salinity, vegetation, or soil classes. Instead, the assembled dataset showed that carbon density across the conterminous united states (CONUS) was normally distributed, with a predictable range of observations. We identified the simplest strategy, applying mean carbon density (27.0 kg C m−3), as the best performing strategy, and conservatively estimated that the top meter of CONUS tidal wetland soil contains 0.72 petagrams C. This strategy could provide standardization in CONUS tidal carbon accounting until such a time as modeling and mapping advancements can quantitatively improve accuracy and precision.<br />Synthesis efforts were funded by NASA Carbon Monitoring System (CMS; NNH14AY67I), USGS LandCarbon and the Smithsonian Institution. J.R.H. was additionally supported by the NSF-funded Coastal Carbon Research Coordination Network while completing this manuscript (DEB-1655622). J.M.S. coring efforts were funded by NSF (EAR-1204079). B.P.H. coring efforts were funded by Earth Observatory (Publication Number 197).

Details

Database :
OAIster
Notes :
en_US
Publication Type :
Electronic Resource
Accession number :
edsoai.on1078920432
Document Type :
Electronic Resource