Spatial patterns and sensitivity of intermittent stream drying to climate variability sampling data
| Authors: | |
|---|---|
| Owners: | Hana Moidu |
| 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. (Metadata update) |
| Published date: | 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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| Views: | 1752 |
| Downloads: | 40 |
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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.
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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
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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