DOI: 10.5061/dryad.c0g2t
title: Data from: Digital recorders increase detection of Eleutherodactylus frogs

description: Improved methods for large-scale and long-term amphibian monitoring
 projects would aid species status assessments and identification of
 potentially declining species (e.g., Stuart et al. 2004). Acoustical
 surveys allow researchers to quickly determine species presence and
 calling activity level (Lips et al. 2001; Zimmerman 1994). The North
 American Amphibian Monitoring Program, a large-scale monitoring effort,
 uses acoustical surveys to monitor species in ponds and wetlands (United
 States Geological Survey 2004). A challenge of this approach is accurate
 species identification, which is particularly problematic in a tropical
 area with high anuran species diversity (e.g., anuran species richness in
 the Neotropics was greater than in the Neartic, Duellman 1999).
 Furthermore, abundant or loud species may lower the detection probability
 of other species. An assumption that needs to be tested in acoustical
 surveys is that detection is highly correlated with the species presence
 or activity. Without an appropriate correction for detection probability,
 data will not accurately reflect the status of the species (MacKenzie et
 al. 2002). This may result in inappropriate management decisions that
 could waste time and money. Digital recorders can be used as a standard
 method for species detection and determination of calling activity level
 in amphibian choruses in long-term monitoring projects. Digital recordings
 can be stored and transferred easily and can allow experts to analyze the
 recordings at their convenience. In addition, loud or abundant species can
 be filtered using computer software to increase the detection of other
 species. I tested the hypothesis that detection of species presence and
 calling activity level in anuran choruses will be higher when recordings
 are analyzed with the help of computer software compared to only hearing
 the recordings. The resulting increase in detection should result in
 improved population status data and reduced false negatives during species
 inventories (i.e., when a species is not detected due to interference).
description: Sound files and results
 for the Carite Forest siteThe zip file contains 2
 folders: 1) Carite_Forest_ACI_values with 3 files: readme.txt, heard.txt -
 ACI values for the site when the recordings were listened to only,
 filtered.txt - ACI values for the site when the recordings were analyzed
 with computer software and analyzed. 2) Carite_Forest_wav with 16 files:
 readme.htm, 15 one-minute recordings in wav format (mono, 16-bit, 48
 kHz).Carite_Forest.zipSound files and results for the Mount Britton siteThe zip file contains 2 folders: 1) Mount_Britton_ACI_values with 3 files: readme.txt, heard.txt - ACI values for the site when the recordings were listened to only, filtered.txt - ACI values for the site when the recordings were analyzed with computer software and analyzed. 2) Mount_Britton_wav with 16 files: readme.htm, 15 one-minute recordings in wav format (mono, 16-bit, 48 kHz).Mount_Britton.zipSound files and results for the Tradewinds siteThe zip file contains 2 folders: 1) Tradewinds_ACI_values with 3 files: readme.txt, heard.txt - ACI values for the site when the recordings were listened to only, filtered.txt - ACI values for the site when the recordings were analyzed with computer software and analyzed. 2) Tradewinds_wav with 16 files: readme.htm, 15 one-minute recordings in wav format (mono, 16-bit, 48 kHz).Tradewinds.zip