JerseyShenBNU/Divergent_dryland_productivity_trends: Oceanic Climate Changes Threaten Dryland Water and Productivity.

This is a repository storing data and codes for the study entitled "Oceanic Climate Changes Threaten Dryland Water and Productivity". Github Repository: https://github.com/JerseyShenBNU/Divergent_dryland_productivity_trends_260119. System requirements: Codes are written using R language and Rstudio. Required R packages are cited in the context of the codes. Installation guide: Rstudio installation guide refers to https://posit.co/download/rstudio-desktop/. All required R packages can be installed using the "install.packages" function in R. Typical install time on a "normal" desktop computer will be 30-60 minutes. Demo and Instruction for use: 1. Unzip the zip file named "Divergent_dryland_productivity_trends_260119-Dryland_and_Ocean.zip" 2. Rename the unzipped folder to a short-version name, i.e., project_test. 3. Set the working path to the folder, "project_test" for example, using setwd('/Path/to/the_folder') 4. Unzip the "R codes.tar.xz" file under the path "/Path/to/the_folder" 5. Open the code files ending with ".R" under the path "/Path/to/the_folder/R" in Rstudio. 6. Install all required R packages using install.packages function in Rstudio. 7. Download result data file "data_for_sharing.tar.xz" using the link inside the file "/Path/to/the_folder/Data/ReadMe.txt" 8. Unzip the data file "data_for_sharing.tar.xz" under the "/Path/to/the_folder/" and rename the folder to "Data" 9. R codes all good for testing. 10. Expected output: Results and Figures for Main Figures 1-4 in the manuscript. 11. Expected run time for all demo R files on a "normal" desktop computer will be 45-60 minutes.