Optimizing water depth for wetland-dependent wildlife could increase wetland restoration success, water efficiency, and water security
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Abstract
Securing water for wetland restoration efforts will be increasingly difficult as human populations demand more water and climate change alters the hydrologic cycle. Minimizing water use at a restoration site could help justify water use to competing users, thereby increasing future water security. Moreover, optimizing water depth for focal species will increase habitat quality and the probability that the restoration is successful. We developed and validated spatial habitat models to optimize water depth within wetland restoration projects along the lower Colorado River intended to benefit California black rails (Laterallus jamaicensis coturniculus). We observed a 358% increase in the number of black rails detected in the year after manipulating water depth to maximize the amount of predicted black rail habitat in two wetlands. The number of black rail detections in our restoration sites was similar to those at our reference site. Implementing the optimal water depth in each wetland decreased water use while simultaneously increasing habitat suitability for the focal species. Our results also provide experimental confirmation of past descriptive accounts of black rail habitat preferences and provide explicit water depth recommendations for future wetland restoration efforts for this species of conservation concern; maintain surface water depths between saturated soil and 100 mm. Efforts to optimize water depth in restored wetlands around the world would likely increase the success of wetland restorations for the focal species while simultaneously minimizing and justifying water use.
Study Area
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Optimizing water depth for wetland-dependent wildlife could increase wetland restoration success, water efficiency, and water security |
Series title | Restoration Ecology |
DOI | 10.1111/rec.12180 |
Volume | 23 |
Issue | 3 |
Year Published | 2015 |
Language | English |
Publisher | Wiley |
Contributing office(s) | Coop Res Unit Seattle |
Description | 9 p. |
First page | 292 |
Last page | 300 |
Country | United States |
State | Arizona |
Other Geospatial | Imperial National Wildlife Refuge |
Google Analytic Metrics | Metrics page |