Occupancy modeling of autonomously recorded vocalizations to predict distribution of rallids in tidal wetlands

Wetlands
By: , and 

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Abstract

Conservation and management for a species requires reliable information on its status, distribution, and habitat use. We identified occupancy and distributions of king (Rallus elegans) and clapper (R. crepitans) rail populations in marsh complexes along the Pamunkey and Mattaponi Rivers in Virginia, USA by modeling data on vocalizations recorded from autonomous recording units (ARUs). Occupancy probability for both species combined was 0.64 (95% CI: 0.53, 0.75) in marshes along the Pamunkey and 0.59 (0.45, 0.72) in marshes along the Mattaponi. Occupancy probability along the Pamunkey was strongly influenced by salinity, increasing logistically by a factor of 1.62 (0.6, 2.65) per parts per thousand of salinity. In contrast, there was not a strong salinity gradient on the Mattaponi and therefore vegetative community structure determined occupancy probability on that river. Estimated detection probability across both marshes was 0.63 (0.62, 0.65), but detection rates decreased as the season progressed. Monitoring wildlife within wetlands presents unique challenges for conservation managers. Our findings provide insight not only into how rails responded to environmental variation but also into the general utility of ARUs for occupancy modeling of the distribution and habitat associations of rails within tidal marsh systems.

Study Area

Publication type Article
Publication Subtype Journal Article
Title Occupancy modeling of autonomously recorded vocalizations to predict distribution of rallids in tidal wetlands
Series title Wetlands
DOI 10.1007/s13157-018-1003-z
Volume 38
Issue 3
Year Published 2018
Language English
Publisher Springer
Contributing office(s) Forest and Rangeland Ecosystem Science Center
Description 8 p.
First page 605
Last page 612
Country United States
State Virginia
Other Geospatial Mattaponi River, Pamunkey River
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