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Data from: "Acoustic monitoring of anurans and birds in Tropical biomes"

Rosa, G. L. M. ; Albuquerque, Pedro ; Alquezar, Renata D. ; Anjos, Luiz dos ; Barreiros, Marcelo ; Gangenova, Elena ; Jardim, Marcelo ; Lima, Marcos R. ; Machado, R. B. ; Marques, P. A. M. ; Phalan, Ben T. ; Roos, Andrei ; Saturnino, Natália ; Simões, C. R. ; Torres, I. M. D. ; Varela, Diego ; Zurano, Juan Pablo ; De Araújo, Carlos B.

Zenodo 2024

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  • Título:
    Data from: "Acoustic monitoring of anurans and birds in Tropical biomes"
  • Autor: Rosa, G. L. M. ; Albuquerque, Pedro ; Alquezar, Renata D. ; Anjos, Luiz dos ; Barreiros, Marcelo ; Gangenova, Elena ; Jardim, Marcelo ; Lima, Marcos R. ; Machado, R. B. ; Marques, P. A. M. ; Phalan, Ben T. ; Roos, Andrei ; Saturnino, Natália ; Simões, C. R. ; Torres, I. M. D. ; Varela, Diego ; Zurano, Juan Pablo ; De Araújo, Carlos B.
  • Notas: RelationTypeNote: HasVersion -- 10.5281/zenodo.10556620
    10.5281/zenodo.10556620
    We standardized the structure of all datasets as CSV spreadsheets with names referring to their number in the original paper. Each table includes species’ names as informed by the respective author in the ‘Species’ column. All remaining columns represent species` occurrence per analyzed recording. The name of each column corresponds to the name of a soundscape recording, and the presence of a species was coded as ‘1’ and the absence as ‘0’. We also provide a second version without species` author names, identified by the suffix ‘no-authors’, for improved readability in some use cases. Below we provide descriptions of the method for collection and other details informed by the authors of each data set (see also Table 1). #1 & #2 Generic & optimized sampling of the birds from Caatinga Soundscapes were recorded by 32 ARU (Sony ICD-PX312F, using a 44.1 kHz 192 kbps recording resolution) for ~45 hours in Jan-2019. Recordings took place at Açú National Forest (-5.58S, -36.94W), where sunrise and sundown were registered at 5:28 a.m. and 5:51 p.m. (January 20th, 2019). Each of the MP3 files was made with approximately six hours, and the 6-hour audio files were split into one-minute files. A single trained observer listened to one minute every 10 (6 min/hr) for each of 11 locations, taking notes of the bird species present (83 species). Based on the results, the authors applied a reduction in sampling effort in terms of time (days) and space (4 min/hr sampling along the period of highest vocal activity and points) and compared the results to the estimates made with a total sampling effort (6 min/hr., 24h/day). Inspected by Saturnino N. #3 & #4 Generic & optimized sampling of the birds from Inland Atlantic Forest Soundscapes were recorded by 8 ARU (SM4, using a 48 kHz 16-bit recording resolution) for five days, from 27th to 31st October in 2019, during the austral spring. Recordings took place at Iguaçu National Park (-25.58S, -54.27 W), where sunrise and sundown were registered at 5:55 a.m. and 6:52 p.m. (October 27th). We set ARUs to record at a generic resolution (6 min/h) for five days. A single trained observer (MJ) listened to the recordings of a single ARU (705 min) and determined an optimal listening period (de Araújo et al. 2021). By focusing on the listening periods, we listened to the recordings of 8 deployed ARUs (140 minutes per ARU; dos Anjos et al. 2022). References: (dos Anjos et al. 2022 DOI: 10.1016/j.actao.2022.103829; de Araújo et al. 2021 DOI: 10.1007/s10336-020-01812-6). Inspected by Jardim M. #5 Coastal Atlantic Forest Soundscapes were recorded by ARUs (AudioMoth ver.1.0) from November 2018 to March 2019. During the sampling sunrise varied from 5:12 to 6:04, and sundown varied from 19:03 to 18:54. Each ARU was placed in 48 points inside 21 forest patches at least 100m from edges and 200m apart from each other, at a height of 1.5 m on trees. All sampled points are in late-secondary sub-montane Atlantic Forest. The ARU units were programmed to record 1-min every 10 minutes (6min/h) with a total of 144 recordings per day at a sampling rate of 48Khz (16bits resolution). Each point was sampled for 24h by five consecutive days with a total of 720 recordings of 1-min per point. From a total of 34,391 1-min soundscape records, a trained observer (ALR) listened 1,054 min (average 74 1-min records per point over the day) and identified the species vocally active at each minute. The data has been deposited at the Arbimon (project Arquivo Bioacústico Catarinense). Inspected by Roos A. L. #6 Focused sampling of the birds from Cerrado. Soundscapes were recorded by an SM2 recorder, using a 48 kHz 16-bit recording resolution) in 12 points, for two days each point, from 11 to 24th October in 2014, inside Brasilia's National Park. Recorders were programmed to start recording 2hrs before sunrise and 1.5hrs after sunrise (nautical sunrise was registered around 5:00 a.m. for this period), recording 1 min and stopping 1 min (30 min/hour = around 1.75 hours or 106 min per morning). Considering 12 points x 2 days x 106 min, we have 2,544 recorded minutes. However, due to the malfunctioning of 3 recorders during the second sampling day (3 mornings = 318 min), the total time is reduced to 2,226 min. A single trained observer, Alquezar R. D., listened to all recordings and identified species present in each file. #7 Generic sampling of the birds from the Amazon Rainforest Soundscapes were recorded with ten Sony Icd-Px240 recorders, from the 7th to the 16th of October in 2020, within the Tapirape-aquiri National Forest (-5.87S, -50.50W). Active units were placed at least 250m apart at the same field site. Sunrise and sundown were registered at 5:59 a.m. and 6:26 p.m. (October 7th, 2020). Each unit was set to record continuously until memory space or battery depletion, which resulted in nearly 42 hours of recording per unit activation (MP3; 192Kb/s; 44.100 Hz). A second round of the same sampling scheme was performed in alternative locations in the same field site. The 24h period recorded simultaneously by all units was split into one-minute cuts in cycles of 10 minutes (6 minutes per hour). Due to variations in autonomy and malfunctioning, the final set of 2,880 minutes was reduced to 2,388 minutes. A single trained observer identified bird species present at each minute. Inspected by Barreiros M. #8 Generic sampling of the Amphibian from the Coastal Atlantic Forest Soundscapes were recorded using Sony ICD-PX312F at five different sampling points from RPPN Gargaú and surrounding fragments (-7.02, -34.96W) during June/2013. Sunrise and sunset were registered at 5:30 a.m. and 17:10 p.m. (June 15th). The recorders ran for 24h for five consecutive days and recorded the environmental sounds by using internal stereo microphones with a resolution of 192 kbps (mp3 format), 16 bits, and a sampling rate of 44100 Hz. The six-hour-long mp3 files created by the recorders were edited into one-minute files. We selected one-minute sections in every 10 (total six minutes per hour) from 04:00 p.m. to 05:50 a.m., totalizing 2100 one-minute recordings. A single trained observer (PRAA) listened to all recordings and identified the anuran species vocalizing in each file. Inspected by Albuquerque P. R. A. and Simões C. R. #9 Generic sampling of the Amphibian from Inland Atlantic Forest. Soundscapes were recorded by 6 ARU (SM4, using a 44.1 kHz 16-bit recording resolution), in representative areas of Atlantic Forest habitat heterogeneity, from 9th of October to 14th of November in 2019 in the province of Misiones, northern Argentina. Sunrise and sundown were registered at 06:15 a.m. and 06:48 p.m. (October 9th). Each ARU was placed 1 meter above ground attached to a tree, with an average distance between sites of 9.05 kilometers. ARUs were set to record a 10-minute period (nonstop) each hour, from sundown until midnight (8 hours), during two consecutive days. A single trained observer (EG) listened to the 1st, 2nd, and 10th minutes of the recorded soundscapes, for two consecutive days (261 min). A list of amphibian species of the most informative minutes, hours, and days was obtained. Recorded by Varela D. and inspected by Gangenova E.
  • Descrição: Passive acoustic monitoring (PAM) is increasingly popular in ecological research, but recording and analyzing large amounts of data is still a critical bottleneck for the long-term monitoring of multiple species. The data we made available here is composed of species lists made by specialists’ direct inspection of 14,044 one-minute recordings. These data sets were collected across different habitats in South America to evaluate how temporal and spatial sampling effort affects species diversity estimates for bird and anuran communities. These data sets are: (#1 & #2) Generic & optimized sampling of the birds from Caatinga; (#3 & #4) Generic & optimized sampling of the birds from Inland Atlantic Forest; (#5) Coastal Atlantic Forest; (#6) Focused sampling of the birds from Cerrado; (#8) Generic sampling of the Amphibian from the Coastal Atlantic Forest; (#9) Generic sampling of the Amphibian from Inland Atlantic Forest.
  • Editor: Zenodo
  • Data de criação/publicação: 2024
  • Idioma: Inglês
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