Streamflow response to increasing precipitation extremes altered by forest management
Increases in extreme precipitation events of floods and droughts are expected to occur worldwide. The increase in extreme events will result in changes in streamflow that are expected to affect water availability for human consumption and aquatic ecosystem function. We present an analysis that may g...
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Published in | Geophysical research letters Vol. 43; no. 8; pp. 3727 - 3736 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Washington
John Wiley & Sons, Inc
28.04.2016
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Subjects | |
Online Access | Get full text |
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Summary: | Increases in extreme precipitation events of floods and droughts are expected to occur worldwide. The increase in extreme events will result in changes in streamflow that are expected to affect water availability for human consumption and aquatic ecosystem function. We present an analysis that may greatly improve current streamflow models by quantifying the impact of the interaction between forest management and precipitation. We use daily long‐term data from paired watersheds that have undergone forest harvest or species conversion. We find that interactive effects of climate change, represented by changes in observed precipitation trends, and forest management regime, significantly alter expected streamflow most often during extreme events, ranging from a decrease of 59% to an increase of 40% in streamflow, depending upon management. Our results suggest that vegetation might be managed to compensate for hydrologic responses due to climate change to help mitigate effects of extreme changes in precipitation.
Key Points
Streamflow is altered by increasing incidence of extreme precipitation events and forest land management
We quantify changes in streamflow due to the interaction between forest management and precipitation
Interaction between forest management and precipitation suggests alteration of streamflow at low and high flows |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0094-8276 1944-8007 |
DOI: | 10.1002/2016GL068058 |