A raster map of the average GPP (in units of gC/m2/day) for all tidal wetlands within the continental United States is available for download below, at 250 x 250 m resolution and representing the average across the years 2000-2019. Raster images for GPP on specific dates from 2000-2019 can be obtained from the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC). Each pixel value represents the GPP for the tidal wetlands only. In other words, the non-tidal wetland GPP that may co-occur within each pixel was extracted using sub-250 m scale knowledge, as outlined in the descriptions below.Average GPP raster map (876.9 MB, .tif file) Metadata
If one wants to aggregate or sum the total tidal wetland GPP within each pixel, one must multiply the average by the area of tidal wetlands within each pixel- that can be accomplished using this file:
All data was created using the Blue Carbon (BC) model. The BC model is composed of a look-up table created through a Bayesian framework, a series of imagery analyses in Google Earth Engine, and summary analyses and interpolation in Python. Codes for each portion of the BC model can be found below:Bayesian framework code (55 KB, .zip folder with .m Matlab files and associated files that call WinBUGS) Google Earth Engine code (9 KB, .txt file) Summary and interp code (7 KB, .7z folder with .py files)
The underlying data was created by the Coastal Management Laboratory in the Department of Ecosystem Sciences at Texas A&M University and WETCARB, with support from NASA grant #NNX14AM37G.
Please use the following citation when referencing this work, or to read further details about how the dataset was created:
83. Feagin, R.A., Forbrich, I., Huff, T.P., Barr, J.G., Ruiz-Plancarte, J., Fuentes, J.D., Najjar, R.G., Vargas, R., Vázquez-Lule, A.L., Windham-Myers, L., Kroeger, K.D., Ward, E.J., Moore, G.W., Leclerc, M., Krauss, K.W., Stagg, C.L., Alber, M., Knox, S.H., Schäfer, K.V.R., Bianchi, T.S., Hutchings, J.A., Nahrawi, H., Noormets, A., Mitra, B., Jaimes, A., Hinson, A.L., Bergamaschi, B., King, J.S. 2020. Tidal wetland Gross Primary Production (GPP) across the continental United States, 2000-2019. Global Biogeochemical Cycles. Crossref "Under Construction"
We mapped tidal wetland gross primary production (GPP) with unprecedented detail for multiple wetland types across the continental United States (CONUS) at 16-day intervals for the years 2000-2019. To accomplish this task, we developed the spatially-explicit Blue Carbon (BC) model, which combined tidal wetland cover and field-based eddy covariance (EC) tower data into a single Bayesian framework, and used a super computer network and remote sensing imagery (MODIS EVI). We found a strong fit between the BC model and EC data from ten different towers (r2=0.83, p<0.001, RMSE=1.22 g C/m2/day, average error was 7% with a mean bias of nearly zero). When compared with NASA’s MOD17 GPP product, which uses a generalized terrestrial algorithm, the BC model reduced error by approximately half (MOD17 had r2=0.45, p<0.001, RMSE of 3.38 g C/m2/day, average error of 15%). The BC model also included mixed pixels in areas not covered by MOD17, which comprised approximately 16.8% of CONUS tidal wetland GPP. Results showed that across CONUS between 2000 and 2019, the average daily GPP per m2 was 4.32 ± 2.45 g C/m2/day. The total annual GPP for the CONUS was 39.65 ± 0.89 Tg C/yr. GPP for the Gulf Coast was nearly double that of the Atlantic and Pacific Coasts combined. Louisiana alone accounted for 15.78 ± 0.75 Tg C/yr, with its Atchafalaya/Vermillion Bay basin at 4.72 ± 0.14 Tg C/yr. The BC model provides a robust platform for integrating data from disparate sources and exploring regional trends in GPP across tidal wetlands.
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