ABSTRACT:

This supplement includes a Python notebook and an R file that reproduce the figures and analyze the tree-ring and climate data used in the manuscript.

In order to execute the code, users should have an Earth Engine account and obtain the raw CRN files from the NOAA National Centers for Environmental Information repository (https://www.ncei.noaa.gov/pub/data/paleo/treering/chronologies), available as a compressed archive file (itrdb-v713-usa-crn.zip).

ABSTRACT:

Supplementary Data and Code for the Manuscript:
"Subsurface Water Storage Capacity Mediates Tree Ring Width Sensitivity to Precipitation in Seasonally Dry Ecosystems"

This supplement includes a Python notebook designed to process and analyze tree-ring data. The key functionalities of the notebook are:

• Extracting tree-ring width data from .rwl files and converting it into a structured DataFrame:
• Using Google Earth Engine repositories to calculate Spearman correlations between tree-ring width and winter precipitation.
• Categorizing sites into precipitation-limited, intermediate, and storage-capacity-limited categories.
• Generating all plots featured in the manuscript.

The analyses were conducted using Google Colab, a free cloud-based environment, ensuring accessibility and reproducibility.

Additionally, separate folders contain the tree-ring dataset and root-zone water storage capacity (accounted for snow) files used in this study.