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Assessing the resilience of productivity to climate variability across management and climate gradients

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Assessing the Resilience of Productivity to Climate Variability Across Management and Climate Gradients

Principal Investigators:

  • David Hoover
  • Olivia Hajek

Workflow Strategy

  1. Raw ANPP data collected in Drive
  2. pre-process scripts handle pernicious idiosyncrasies
  3. Pre-processed ANPP data created
  4. 01_harmonize script + "data key" used to harmonize pre-processed data across networks
  5. 02_quality-control script used to do QA/QC on harmonized data
  6. 03_aggregation script used to aggregate to site/year/treatment replicates
  7. Tidy ANPP data created
  8. Management info sheet (by site/treatment), site attributes sheet (including environmental variables), and site-year attribute sheet (similar to management info but one year per row) all joined with tidy ANPP data (see step 7) in "grand join"

Script Explanations

Briefly describe the purpose of each script (or folder of scripts) here as you create them!

  • "retrieve-mswep-ppt-data.R" - script for retreiveing daily precipitation data for sites from MSWEP
  • "01_harmonize.R" - script for harmonizing raw data into a single data table
  • "02_quality-control.R" - script for quality control operations and--eventually--integration of environmental covariates and management metadata
  • "03_filter.R" - script for subsetting out treatments / sites / rows of data that are believed to not be of interest or not be comparable to remaining data
  • "04_aggregate-to-site.R" - script for aggregating to site level (to standardize across space for each dataset)

Supplementary Resources

LTER Scientific Computing Team website & NCEAS' Resources for Working Groups

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