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Spatial patterns and sensitivity of intermittent stream drying to climate variability sampling data

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Type:	Resource
Storage:	The size of this resource is 2.3 MB
Created:	Apr 28, 2021 at 5:16 a.m.
Last updated:	Sep 17, 2021 at 6:39 p.m.
DOI:	10.4211/hs.b7973d7df99b4f719098d959078ef4c3
Citation:	See how to cite this resource

Sharing Status:	Published
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Abstract

Intermittent streams comprise much of the global river network, and are expected to become more prevalent as a result of climate change. Characterizing the expansion and contraction of intermittency in stream networks, and understanding how sensitive these dynamics are to climatic variability, is critical for predicting the trajectory of hydrologic regimes in a changing climate. Here, we consider the spatial patterns of stream intermittency, focusing on wetted channel conditions at the end of the dry season, and identify land cover, physiographic, and climate variables that influence surface water presence and variability across years. We trained statistical models with wetted channel mapping data from 25 streams over 7 years to predict both the spatial and interannual variability of the wetted channel network. The data used to train these models is published here.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

North Latitude

38.8226°

East Longitude

-122.0722°

South Latitude

38.1864°

West Longitude

-123.3686°

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Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
Wildlife Conservation Board		WC-1663CR

How to Cite

Moidu, H., M. Obedzinski, S. Carlson, T. Grantham (2021). Spatial patterns and sensitivity of intermittent stream drying to climate variability sampling data, HydroShare, https://doi.org/10.4211/hs.b7973d7df99b4f719098d959078ef4c3

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

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

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