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11 results for “Ovenbird”
Ovenbird song recordings from Alberta (Canada) with individual labels and spatial locations, 2015-2016
This dataset includes spatially localized and individually identified Ovenbird songs. We used automated species detection and acoustic localization to localize Ovenbird singing events from microphone arrays in Alberta, Canada (2015-2016). We then hand-annotated songs to individuals based on acoustic characteristics. This dataset includes the manual annotations and annotations from automated individual identification approaches. This data publication pertains to the manuscript [in prep] by Lapp et al on Ovenbird individual identification and provides further details on the study and the individual identification approach.
Ovenbird Mist-netting Dataset
<p>Data from a multi-year mist-netting study of ovenbirds (<em>Seiurus aurocapilla</em>) at a site in Maryland, USA.</p> <p>The text files 'ovenCHpcapt.txt' and 'ovenCHptrap.txt' contain the ovenbird mist net data of Dawson & Efford (2009) re-analysed by Efford & Schofield (2022). The data are also included in the R package 'secr' (Efford 2022) where a more complete description may be found.</p> <p>The format follows that used by 'secr', described in <a href="https://www.otago.ac.nz/density/pdfs/secr-datainput.pdf">secr-datainput.pdf</a>.</p> <p># Use this R code to re-construct the 'secr' capthist object</p> <p>library(secr)<br> ovenCHp <- read.capthist('ovenCHpcapt.txt', 'ovenCHptrap.txt',<br> detector = 'proximity')</p> <p># ... and summarise with<br> summary(ovenCHp, terse = TRUE)</p> <p> 2005 2006 2007 2008 2009<br> Occasions 9 10 10 10 10<br> Detections 41 49 57 33 35<br> Animals 20 22 26 19 16<br> Detectors 44 44 44 44 44</p> <p>'Occasions' correspond to days. Detections were binary at the level of bird x net x day. Birds could be recorded in more than one net per day.</p> <p>References</p> <p>Dawson, D. K. & Efford, M. G. (2009) Bird population density estimated from<br> acoustic signals. Journal of Applied Ecology 46: 1201-1209.</p> <p>Efford, M. G. (2022). secr: Spatially explicit capture-recapture models.<br> R package version 4.5.5. https://CRAN.R-project.org/package=secr.<br> <br> Efford, M. G. & Schofield, M. (2022) A review of movement models in open<br> population capture–recapture. Methods in Ecology and Evolution In press. </p>
Manual annotation of individual ovenbirds in acoustic recordings
This dataset includes acoustic recordings and annotations of those recordings for individually identified Ovenbird songs (Seiurus aurocapilla) created from annotating randomly selected passive acoustic monitoring recordings, largely collected in Alberta, CA. Every Ovenbird song within each recording is tagged in time and frequency. Each Ovenbird tag is labeled with individual identity a number corresponding to each individual’s order of appearance in the recording. If no Ovenbirds were not detected in a given recording, the recording was labeled at approximately 2 seconds into the recording with a three-second long tag containing species label “NONE.” Recordings contain other species’ songs, but no other species are tagged. This dataset was annotated via the WildTrax interface (https://wildtrax.ca/) and can also be found at https://portal.wildtrax.ca/home/aru-tasks.html?sensorId=ARU&projectId=623. These recordings were intended to be used for studies of individual ID, but can be used for a variety of other applications, including count data, song rate and vocal activity, and migratory phenology. Because each individual Ovenbird is numbered, these data can be also be transformed into count data or used to estimate individual Ovenbirds’ song rates. Data were randomly selected with respect to recording time, recording date, and recording location. Because recording time was randomly selected, the dataset can be used to estimate Ovenbird vocal activity over the course of a day. Because recordings were selected from a date range that includes dates before Ovenbirds are likely to be present in Alberta, the dataset can be used to estimate phenology of Ovenbird migration. This dataset is intended as an example open access labeled dataset to encourage development in the field of acoustic individual identification (Knight et al. In Revision for Trends in Ecology and Evolution).
Data from: Partners coordinate territorial defense against simulated intruders in a duetting ovenbird
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Luquillo Experimental Forest site, station El Verde, study of animal abundance of Seiurus (ovenbirds) in units of numberInsideOf25mRadiusCircle on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Luquillo Experimental Forest (LUQ) contains animal abundance of Seiurus (ovenbirds) measurements in numberInsideOf25mRadiusCircle units and were aggregated to a yearly timescale.
Hubbard Brook site, station 10-hectare bird count plot at Hubbard Brook Experimental Forest, study of animal abundance of Seiurus aurocapilla (ovenbird) in units of numberPer10Hectares on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains animal abundance of Seiurus aurocapilla (ovenbird) measurements in numberPer10Hectares units and were aggregated to a yearly timescale.
Data from: Understanding the function of nocturnal song in ovenbirds: males do not countersing at night
Many diurnal bird species vocalize at night, however the function of nocturnal song is, generally, still poorly understood. Previous research has suggested that nocturnal song may serve a social function and is influenced by environmental factors. To test whether males attend to the nocturnal song of conspecifics, we experimentally exposed ovenbirds (Seiurus aurocapilla) to nocturnal flight songs, and recorded their response both during the night and during the following dawn chorus. We compared latency to song and vocal output before and after playback exposure to determine if males altered their vocalizations in response to exposure to flight songs from an unknown male. We found no evidence of counter singing or change in nocturnal song output, nor a change in vocal output during the dawn chorus following playback exposure. Our results suggest that, in ovenbirds, nocturnal song does not serve as an intraspecific social function. Nocturnal song, through rare, may be significant in the mating systems of some diurnal bird species, and requires additional study.
FIGURE 1. A in Geocerthia, a new genus of terrestrial ovenbird (Aves: Passeriformes: Furnariidae)
FIGURE 1. A maximum-likelihood phylogeny highlighting the lack of a sister relationship between Upucerthia serrana and other species of Upucerthia sensu stricto. Numbers above the branches indicate bootstrap support based on 150 maximum-likelihood replicates.
FIGURE 1. A in Pseudasthenes, a new genus of ovenbird (Aves: Passeriformes: Furnariidae)
FIGURE 1. A simplified majority-rule Bayesian consensus tree of the Furnariidae (see text) that highlights the lack of a sister relationship between Pseudasthenes and Asthenes as well as the paraphyly of Asthenes, Schizoeaca, and Oreophylax. Asterisks represent nodes with a posterior probability of 1.0.
Data from: Understanding the function of nocturnal song in ovenbirds: males do not countersing at night
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Data from: Duetting behavior in a Neotropical ovenbird: sexual and seasonal variation and adaptive signaling functions
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