Skip to main content
Dryad

Predicting the effects of reservoir water level management on the reproductive output of a riparian songbird

Cite this dataset

Green, David (2021). Predicting the effects of reservoir water level management on the reproductive output of a riparian songbird [Dataset]. Dryad. https://doi.org/10.5061/dryad.rfj6q5792

Abstract

Yellow warblers were monitored in Revelstoke, British Columbia, Canada for 12 breeding seasons spanning 2005 to 2017. Data on the breeding biology of individually marked warblers was used to construct an individual-based model describing the effects of reservoir operations on the reproductive output of yellow warblers. This model was parameterised using data on the breeding biology of approximately 30 breeding pairs per year that a provided data on nest sites (ground elevation and nest height), breeding phenology (date of first egg for each clutch initiated), clutch size, brood parasitism by brown-headed cowbirds, nest fate and whether females re-nested following nest failure or success. The raw data was filtered, excluding nests that failed due to abandonment following brood parasitism and flooding, and formatted to allow estimation of nest survival rates using Program MARK. 

Methods

Data was collected by monitoring a marked population of breeding birds from early May to the middle of July in 2005 to 2017 (with the exception of 2007).

The data has been formatted to allow description of nest elevation, the timing of breeding, clutch size, daily survival rates and the probability of re-nesting following nest failure or the fledging of young.

Usage notes

The data is provided in a series of sheets within an Excel file.

The variables in each sheet are described in the Readme file.

Cells with missing values are empty.

Funding

Natural Sciences and Engineering Research Council, Award: RGPIN 2009-261899, 2014-05798, 2019-05513