Wetland sediment soil organic carbon sequestration rates in undisturbed Canadian wetlands and data to support predictive modeling

Mistry et al - JGR Biogeosci - Supp Data.XLSX contains data (and descriptions) for samples collected from 21 undisturbed wetlands with datable and high-quality Pb-210 profiles situated across agricultural landscapes of Canada, organic carbon sequestration rates (OCSR) in the wetlands, and geospatial proxies of direct controls influencing OCSR, that are used to generate frequency distributions, Spearman correlation matrices, descriptive statistics, and to predict wetland OCSR using statistical learning methods, including random forest (RF), linear mixed effects (LME), and multiple linear regression (MLR) models. Additionally, the table provides details on the wetland ID, geographical location, year of sampling, area of wetland, depth, and time corresponding to OCSR. These data were collected from 21 undisturbed wetlands with datable and high-quality Pb-210 profiles, situated across agricultural landscapes of Canada. Mistry et al - JGR Biogeosci - R Script.R contains an annotated script to run statistical learning techniques, including RF, LME, and MLR models, to predict OCSR in wetlands. Mistry et al - JGR Biogeosci - Model Data.CSV contains data for predicting wetland OCSR and was designed to be used alongside the script Mistry et al - JGR Biogeosci - R Script.R. Mistry et al - JGR Biogeosci - R Script and Model Data - Readme.TXT contains a description of Mistry et al - JGR Biogeosci - R Script.R and Mistry et al - JGR Biogeosci - Model Data.CSV. For details, see Mistry et al., Reducing uncertainties in net carbon capture to advance wetlands as Natural Climate Solutions.