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

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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 3:28 a.m.
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Sharing Status:	Public
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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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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Western Contiguous United States

North Latitude

49.0000°

East Longitude

-105.0000°

South Latitude

31.0000°

West Longitude

-125.0000°

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How to Cite

Aulakh, M., D. Dralle, W. J. Hahm (2025). Data and Code for “Subsurface Water Storage Capacity Mediates Tree Ring Width Sensitivity to Precipitation in Seasonally Dry Ecosystems", HydroShare, http://www.hydroshare.org/resource/0943ab0921404a3a84fee3e746de78c9

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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