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Auxiliary supplementary material for the study on plant diversity relationships with satellite-detected phenological variability in USA wetlands at a national scale

Citation

Dronova, Iryna; Taddeo, Sophie; Harris, Kendall (2022), Auxiliary supplementary material for the study on plant diversity relationships with satellite-detected phenological variability in USA wetlands at a national scale, Dryad, Dataset, https://doi.org/10.6078/D13T40

Abstract

This  dataset contains auxiliary data and supporting information for the research article by Iryna Dronova, Sophie Taddeo, and Kendall Harris "Plant diversity reduces satellite-observed phenological variability in wetlands at a national scale" for Science Advances (provisionally accepted in May 2022). It includes one Excel spreadsheet document with the main variables used in the study analyses (Data_S1_Regression_Dataset_v5_31_2022.xslx) and two ZIP files containing supporting information about two of those variables created in the custom way: phenological variability (PhenoVariability; workflow in Data_S2_Code_for_Custom_Variables.zip) and variation in land surface temperature (Var_LST; workflow in Data_S3_Code_for_Variability_LST.zip).

The main purpose of this dataset is to share the study's variables used in statistical analyses. The relevant variables are compiled in the Excel spreadsheet (Data_S1_Regression_Dataset_v5_31_2022.xslx), where each entry corresponds to an individual wetland site surveyed by the National Wetland Condition Assessment (NWCA) by the U.S. Environmental Protection Agency in 2011. A unique identifier (UID) of each wetland site is included to allow users to link to other NWCA databases for additional already published information if desired (NWCA database is available at the following website under Wetlands 2011 category: https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys).

Two supporting ZIP files (Data_S2_Code_for_Custom_Variables.zip and Data_S3_Code_for_Variability_LST.zip) contain README files, codes and code input data to allow for reproducibility of the custom-created variables that have been generated in this study and are not available in other databases. 

Methods

This dataset includes three files listed in the Supplementary Materials document of the publication as follows: 

S1: Data_S1_Regression_Dataset_v5_31_2022.xslx: plant diversity and wetland site variables for 1138 wetland sites used in this study’s statistical analyses.

S2: Data_S2_Code_for_Custom_Variables.zip: a Zip file containing a README explanatory text file, two Matlab codes for estimating measures of phenological variability and its two custom-derived covariates and two input data files required to run the codes: the dataset original 2002-2019 series of Normalized Difference Vegetation Index computed from wetland sites for MOD09Q1.006 product and the dataset with site names.

S3: Data_S3_Code_for_Variability_LST.zip: a Zip file containing a README_LST explanatory text file, two Matlab codes for estimating variability in land surface temperature (LST) from MOD11A2.006 Terra Land Surface Temperature and Emissivity 8-Day Global 1km product, and required input files.

Usage Notes

Please refer to README_Master file with the information on README instructions and explanations for specific files in this dataset.

Funding

National Aeronautics and Space Administration, Award: 80NSSC18K0755