Shaw Timothy

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Last Name
Shaw
First Name
Timothy
ORCID
0000-0002-9007-637X

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  • Article
    Author Correction : Accuracy and precision of tidal wetland soil carbon mapping in the conterminous United States
    (Nature Publishing Group, 2018-10-09) 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
    This Article corrects an error in Equation 1
  • Article
    Pollen geochronology from the Atlantic Coast of the United States during the last 500 years
    (MDPI, 2021-01-31) Christie, Margaret A. ; Bernhardt, Christopher E. ; Parnell, Andrew C. ; Shaw, Timothy ; Khan, Nicole S. ; Corbett, D. Reide ; García-Artola, Ane ; Clear, Jennifer ; Walker, Jennifer S. ; Donnelly, Jeffrey P. ; Hasse, Tobias R. ; Horton, Benjamin P.
    Building robust age–depth models to understand climatic and geologic histories from coastal sedimentary archives often requires composite chronologies consisting of multi-proxy age markers. Pollen chronohorizons derived from a known change in vegetation are important for age–depth models, especially those with other sparse or imprecise age markers. However, the accuracy of pollen chronohorizons compared to other age markers and the impact of pollen chronohorizons on the precision of age–depth models, particularly in salt marsh environments, is poorly understood. Here, we combine new and published pollen data from eight coastal wetlands (salt marshes and mangroves) along the Atlantic Coast of the United States (U.S.) from Florida to Connecticut to define the age and uncertainty of 17 pollen chronohorizons. We found that 13 out of 17 pollen chronohorizons were consistent when compared to other age markers (radiocarbon, radionuclide 137Cs and pollution markers). Inconsistencies were likely related to the hyperlocality of pollen chronohorizons, mixing of salt marsh sediment, reworking of pollen from nearby tidal flats, misidentification of pollen signals, and inaccuracies in or misinterpretation of other age markers. Additionally, in a total of 24 models, including one or more pollen chronohorizons, increased precision (up to 41 years) or no change was found in 18 models.
  • Article
    Accuracy and precision of tidal wetland soil carbon mapping in the conterminous United States
    (Nature Publishing Group, 2018-06-21) 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
    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.
  • Dataset
    Salinity, radium/thorium radionuclide, and nitrogen oxide concentration measurements from surface and porewater samples collected in coastal South Carolina from 2017 to 2019
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-02-21) Shaw, Timothy ; Bodine, Madeleine
    Surface and porewater salinity, radium/thorium radionuclide measurements, and nitrogen oxide concentration measurements. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/869708