Effect of Tide Level and Time of Day on Detection Rate and Abundance of Clapper Rails (<i>Rallus longirostris</i>) in a Mid-Atlantic Tidal Marsh System

Lehmicke, Anna Joy J.; Bowman, Jacob L.; Banning, Alison E.; Vasilas, B. L.

doi:10.1675/063.036.0315

Cited by 4 publications

(3 citation statements)

References 21 publications

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“…The influence of tide stage on occupancy detection rates was apparent only for clapper rails and detection rates were lowest during high tides. Lehmicke et al () found that clapper rail detections in Delaware Bay marshes were greater during a mid‐level tide and we found a similar pattern with clapper rail detections greatest in our mid‐level tide categories. Abundance detection rates were influenced by tide stage for 3 of the 4 species but with minimal variation.…”

Section: Discussionsupporting

confidence: 85%

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Survey frequency and timing affect occupancy and abundance estimates for salt marsh birds

Wiest

Shriver

2015

J Wildl Manag

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Salt marsh birds in eastern North America are high conservation priorities due to their restricted ranges, threats from sea-level rise, and an overall lack of information related to their population status or trends. We calculated estimates of detection probabilities for clapper rail (Rallus crepitans), willet (Tringa semipalmata), seaside sparrow (Ammodramus maritimus), and saltmarsh sparrow (A. caudacutus) breeding in Delaware Bay, USA. Our objectives were to model the effects of survey covariates on detection probabilities for occupancy and abundance estimates, determine how survey frequency (no. visits to a site) and survey timing (when in the season sites are sampled) affected the estimates, and how varying the number and timing of visits affected the estimates compared to the recommendations based on the North American Marsh Bird Monitoring Protocol. To make these comparisons, we defined 4 survey frequency (2, 3, 4, and 8 visits) and 3 survey timing (early, early-middle-late, and late season) scenarios. Our results are based on 480 surveys (i.e., call broadcast point counts) to 30 sampling locations located at Bombay and Prime Hook National Wildlife Refuges during the 2008 and 2009 breeding seasons. The scenario of 3 visits early in the season provided the lowest error estimates of occupancy and abundance. Distributing the survey effort across the season, our early-middle-late scenario, provided high variance estimates and should be avoided when designing monitoring programs for these tidal marsh obligate species. Ó 2015 The Wildlife Society.

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Section: Discussionsupporting

confidence: 85%

“…To assess the effects of factors known to influence detection (Rush et al , Conway and Nadeau , Conway and Gibbs , Lehmicke et al , Nadeau et al ), we recorded date, start time, observer, tide stage, sky condition, wind speed, and background noise at the start of each survey. We used 7 different observers during call‐broadcast surveys.…”

Section: Methodsmentioning

confidence: 99%

Survey frequency and timing affect occupancy and abundance estimates for salt marsh birds

Wiest

Shriver

2015

J Wildl Manag

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“…Previous studies (Liu et al 2009;Henkel et al 2013) have used distance sampling analysis to calculate bay-wide population estimates for the California rail, and our finding that California rails were not responding directionally to playbacks suggested that this method could be used with distance sampling. Other factors that have been shown to affect the detection rate of California rails during call-count surveys include time of day and tide level (Liu et al 2012;Lehmicke et al 2013), but these factors were not taken into account in our limited study.…”

Section: Discussionmentioning

confidence: 99%

Movements of Radio-Marked California Ridgway's Rails During Monitoring Surveys: Implications for Population Monitoring

Bui

Takekawa

Overton

et al. 2015

Journal of Fish and Wildlife Management

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The California Ridgway's rail Rallus obsoletus obsoletus (hereafter California rail) is a secretive marsh bird endemic to tidal marshes in the San Francisco Bay (hereafter bay) of California. The California rail has undergone significant range contraction and population declines due to a variety of factors, including predation and the degradation and loss of habitat. Call-count surveys, which include call playbacks, based on the standardized North American marsh bird monitoring protocol have been conducted throughout the bay since 2005 to monitor population size and distribution of the California rail. However, call-count surveys are difficult to evaluate for efficacy or accuracy. To measure the accuracy of call-count surveys and investigate whether radio-marked California rails moved in response to call-count surveys, we compared locations of radio-marked California rails collected at frequent intervals (15 min) to California rail detections recorded during call-count surveys conducted over the same time periods. Overall, 60% of radio-marked California rails within 200 m of observers were not detected during call-count surveys. Movements of radio-marked California rails showed no directional bias (P = 0.92) irrespective of whether or not playbacks of five marsh bird species (including the California rail) were broadcast from listening stations. Our findings suggest that playbacks of rail vocalizations do not consistently influence California rail movements during surveys. However, call-count surveys may underestimate California rail presence; therefore, caution should be used when relating raw numbers of call-count detections to population abundance.

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Accurate tide level estimation: A deep learning approach

Riazi

2020

Ocean Engineering

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Effect of Tide Level and Time of Day on Detection Rate and Abundance of Clapper Rails (Rallus longirostris) in a Mid-Atlantic Tidal Marsh System

Cited by 4 publications

References 21 publications

Survey frequency and timing affect occupancy and abundance estimates for salt marsh birds

Survey frequency and timing affect occupancy and abundance estimates for salt marsh birds

Movements of Radio-Marked California Ridgway's Rails During Monitoring Surveys: Implications for Population Monitoring

Accurate tide level estimation: A deep learning approach

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