Windham-Myers Lisamarie

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Windham-Myers
First Name
Lisamarie
ORCID
0000-0003-0281-9581

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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
    Representing the function and sensitivity of coastal interfaces in earth system models
    (Nature Research, 2020-05-18) Ward, Nicholas D. ; Megonigal, J. Patrick ; Bond-Lamberty, Benjamin ; Bailey, Vanessa L. ; Butman, David ; Canuel, Elizabeth A. ; Diefenderfer, Heida ; Ganju, Neil K. ; Goni, Miguel ; Graham, Emily B. ; Hopkinson, Charles S. ; Khangaonkar, Tarang ; Langley, J. Adam ; McDowell, Nate G. ; Myers-Pigg, Allison N. ; Neumann, Rebecca B. ; Osburn, Christopher L. ; Price, René M. ; Rowland, Joel ; Sengupta, Aditi ; Simard, Marc ; Thornton, Peter E. ; Tzortziou, Maria ; Vargas, Rodrigo ; Weisenhorn, Pamela B. ; Windham-Myers, Lisamarie
    Between the land and ocean, diverse coastal ecosystems transform, store, and transport material. Across these interfaces, the dynamic exchange of energy and matter is driven by hydrological and hydrodynamic processes such as river and groundwater discharge, tides, waves, and storms. These dynamics regulate ecosystem functions and Earth’s climate, yet global models lack representation of coastal processes and related feedbacks, impeding their predictions of coastal and global responses to change. Here, we assess existing coastal monitoring networks and regional models, existing challenges in these efforts, and recommend a path towards development of global models that more robustly reflect the coastal interface.
  • Article
    Improved wetland soil organic carbon stocks of the conterminous U.S. through data harmonization
    (Frontiers Media, 2021-10-12) Uhran, Bergit ; Windham-Myers, Lisamarie ; Bliss, Norman B. ; Nahlik, Amanda M. ; Sundquist, Eric T. ; Stagg, Camille L.
    Wetland soil stocks are important global repositories of carbon (C) but are difficult to quantify and model due to varying sampling protocols, and geomorphic/spatio-temporal discontinuity. Merging scales of soil-survey spatial extents with wetland-specific point-based data offers an explicit, empirical and updatable improvement for regional and continental scale soil C stock assessments. Agency-collected and community-contributed soil datasets were compared for representativeness and bias, with the goal of producing a harmonized national map of wetland soil C stocks with error quantification for wetland areas of the conterminous United States (CONUS) identified by the USGS National Landcover Change Dataset. This allowed an empirical predictive model of SOC density to be applied across the entire CONUS using relational %OC distribution alone. A broken-stick quantile-regression model identified %OC with its relatively high analytical confidence as a key predictor of SOC density in soil segments; soils <6% OC (hereafter, mineral wetland soils, 85% of the dataset) had a strong linear relationship of %OC to SOC density (RMSE = 0.0059, ~4% mean RMSE) and soils >6% OC (organic wetland soils, 15% of the dataset) had virtually no predictive relationship of %OC to SOC density (RMSE = 0.0348 g C cm−3, ~56% mean RMSE). Disaggregation by vegetation type or region did not alter the breakpoint significantly (6% OC) and did not improve model accuracies for inland and tidal wetlands. Similarly, SOC stocks in tidal wetlands were related to %OC, but without a mappable product for disaggregation to improve accuracy by soil class, region or depth. Our layered harmonized CONUS wetland soil maps revised wetland SOC stock estimates downward by 24% (9.5 vs. 12.5Pg C) with the overestimation being entirely an issue of inland organic wetland soils (35% lower than SSURGO-derived SOC stocks). Further, SSURGO underestimated soil carbon stocks at depth, as modeled wetland SOC stocks for organic-rich soils showed significant preservation downcore in the NWCA dataset (<3% loss between 0 and 30 cm and 30 and 100 cm depths) in contrast to mineral-rich soils (37% downcore stock loss). Future CONUS wetland soil C assessments will benefit from focused attention on improved organic wetland soil measurements, land history, and spatial representativeness.
  • Article
    Uncertainty in United States coastal wetland greenhouse gas inventorying
    (IOP Science, 2018-11-12) Holmquist, James R. ; Windham-Myers, Lisamarie ; Bernal, Blanca ; Byrd, Kristin B. ; Crooks, Stephen ; Gonneea, Meagan E. ; Herold, Nate ; Knox, Sara H. ; Kroeger, Kevin D. ; McCombs, John ; Megonigal, J. Patrick ; Lu, Meng ; Morris, James T. ; Sutton-Grier, Ariana E. ; Troxler, Tiffany G.
    Coastal wetlands store carbon dioxide (CO2) and emit CO2 and methane (CH4) making them an important part of greenhouse gas (GHG) inventorying. In the contiguous United States (CONUS), a coastal wetland inventory was recently calculated by combining maps of wetland type and change with soil, biomass, and CH4 flux data from a literature review. We assess uncertainty in this developing carbon monitoring system to quantify confidence in the inventory process itself and to prioritize future research. We provide a value-added analysis by defining types and scales of uncertainty for assumptions, burial and emissions datasets, and wetland maps, simulating 10 000 iterations of a simplified version of the inventory, and performing a sensitivity analysis. Coastal wetlands were likely a source of net-CO2-equivalent (CO2e) emissions from 2006–2011. Although stable estuarine wetlands were likely a CO2e sink, this effect was counteracted by catastrophic soil losses in the Gulf Coast, and CH4 emissions from tidal freshwater wetlands. The direction and magnitude of total CONUS CO2e flux were most sensitive to uncertainty in emissions and burial data, and assumptions about how to calculate the inventory. Critical data uncertainties included CH4 emissions for stable freshwater wetlands and carbon burial rates for all coastal wetlands. Critical assumptions included the average depth of soil affected by erosion events, the method used to convert CH4 fluxes to CO2e, and the fraction of carbon lost to the atmosphere following an erosion event. The inventory was relatively insensitive to mapping uncertainties. Future versions could be improved by collecting additional data, especially the depth affected by loss events, and by better mapping salinity and inundation gradients relevant to key GHG fluxes. Social Media Abstract: US coastal wetlands were a recent and uncertain source of greenhouse gasses because of CH4 and erosion.
  • 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.