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Data for "In-situ quantification and prediction of water yield from southern US pine forests"

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Type:	Resource
Storage:	The size of this resource is 2.5 MB
Created:	Aug 04, 2021 at 6:10 p.m.
Last updated:	Aug 11, 2021 at 7:51 p.m.
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Sharing Status:	Public
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Abstract

These data are the source materials for estimation of water yield from coastal plain pine forests. We used the daily integration of soil moisture through the root zone to quantify soil evapotranspiration, and the dynamics of shallow soil moisture responses to rainfall to estimate interception (see Acharya et al. 2020 in HESS). Together these quantify the total loss of water from the system, which is subtracted from rainfall to estimate water yield. The paper then explores the controls on these processes at the stand level, and develops simple predictive models for estimating water yield from hydroclimatic, geologic, and forest structural attributes. The source data include interception estimates for each plot (n = 30 across Florida), total soil moisture dynamics across sites, the imputed values of soil ET, and the resulting annual estimates of water yield, along with site attributes, from which all figures in the paper were constructed. Further details about 4-year time series of soil moisture with depth (15 min frequency with 5-6 sensors per bank, 3 banks per plot, 30 plots) can be obtained from the authors.

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

North Latitude

30.9629°

East Longitude

-80.9252°

South Latitude

28.0569°

West Longitude

-86.0888°

Temporal

Start Date:
End Date:

Content

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Related Resources

This resource is referenced by	Acharya S., D.A. Kaplan, D.L. McLaughlin and M.J. Cohen. In review 2021. "In-situ quantification and prediction of water yield from southern US pine forests" in Water Resources Research
The content of this resource is derived from	Acharya, S., D. McLaughlin, D.A. Kaplan and M.J. Cohen. 2020. A proposed method for estimating interception from near-surface soil moisture response. Hydrology and Earth System Sciences 24:1859-1870

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
Florida Department of Agriculture and Consumer Services	Managing Forests for Increased Regional Water Availability	20834

How to Cite

Cohen, M. J., D. Kaplan, S. Acharya, D. McLaughlin (2021). Data for "In-situ quantification and prediction of water yield from southern US pine forests", HydroShare, http://www.hydroshare.org/resource/a55dfb0494864847b735e3c65ee0caf8

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

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

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