Data and Code for “Subsurface Water Storage Capacity Mediates Tree Ring Width Sensitivity to Precipitation in Seasonally Dry Ecosystems"
| Authors: | |
|---|---|
| Owners: | Mantek Aulakh |
| Type: | Resource |
| Storage: | The size of this resource is 170.9 MB |
| Created: | Jan 17, 2025 at 11:49 p.m. |
| Last updated: | Jan 21, 2025 at 6:29 p.m. |
| Published date: | Jan 21, 2025 at 6:29 p.m. |
| DOI: | 10.4211/hs.0943ab0921404a3a84fee3e746de78c9 |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 190 |
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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.
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How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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