Data for Estimating detection and occupancy of secretive marsh bird species in low and high saline marshes in southwestern Louisiana using automated recording units
September 15, 2020
This dataset compiles all data used in a study on occupancy of secretive marsh birds collected from automated audio recording units in southwest Louisiana. The main data files consist of detection histories for the 11 species across 20 sampling occasions at 33 sites. The sites were randomly selected, and all site level information is provided, including coordinates, marsh type, and habitat designation for our analysis. The sampling information table provides the date of each sample as well as the environmental conditions used as a covariate of detection in our model.
Citation Information
Publication Year | 2020 |
---|---|
Title | Data for Estimating detection and occupancy of secretive marsh bird species in low and high saline marshes in southwestern Louisiana using automated recording units |
DOI | 10.5066/P9RRIIR2 |
Authors | Hardin Waddle, Clinton W. Jeske, Landon R. Jones, Phillip L. Vasseur |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Wetland and Aquatic Research Center - Gainesville, FL |
Rights | This work is marked with CC0 1.0 Universal |
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Estimating detection and occupancy of secretive marsh bird species in low and high saline marshes in southwestern Louisiana using automated recording units
Secretive marsh birds (SMBs) are important indicator species of coastal wetlands but are difficult to detect and monitor. In coastal Louisiana, an important stronghold for these species, climate and hydrological models predict that freshwater and intermediate marshes will expand in the next 50 years, while brackish marshes will shrink. We used a multi-species Bayesian hierarchical occupancy model
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Hardin Waddle, Landon R. Jones, Phillip L. Vasseur, Clint W. Jeske
Related
Estimating detection and occupancy of secretive marsh bird species in low and high saline marshes in southwestern Louisiana using automated recording units
Secretive marsh birds (SMBs) are important indicator species of coastal wetlands but are difficult to detect and monitor. In coastal Louisiana, an important stronghold for these species, climate and hydrological models predict that freshwater and intermediate marshes will expand in the next 50 years, while brackish marshes will shrink. We used a multi-species Bayesian hierarchical occupancy model
Authors
Hardin Waddle, Landon R. Jones, Phillip L. Vasseur, Clint W. Jeske