Assessment of cue counting for estimating bird density using passive acoustic monitoring: recommendations for estimating a reliable cue rate
Cue counting is a method developed for estimating vocally active wildlife density by dividing the density of cues (number of cues per unit area surveyed per unit time) by the average cue rate (ACR) at which individuals vocalize. It has been used successfully to estimate whale density using passive a...
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Resilience Alliance
2021
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oai:doaj.org-article:9c1a3fe569fe4941ac2f0288c489e4392021-11-15T16:40:14ZAssessment of cue counting for estimating bird density using passive acoustic monitoring: recommendations for estimating a reliable cue rate1712-6568https://doaj.org/article/9c1a3fe569fe4941ac2f0288c489e4392021-06-01T00:00:00Zhttps://www.ace-eco.org/vol16/iss1/art11/https://doaj.org/toc/1712-6568Cue counting is a method developed for estimating vocally active wildlife density by dividing the density of cues (number of cues per unit area surveyed per unit time) by the average cue rate (ACR) at which individuals vocalize. It has been used successfully to estimate whale density using passive acoustic monitoring, but its efficacy has had limited testing in birds. We tested whether cue counting can be used to infer bird abundance using autonomous recording units and estimated the minimum effort required to obtain a reliable cue rate at individual and population levels. We recorded Dupont's Lark (Chersophilus duponti) vocalizations at 31 sites where traditional field censuses were also performed. We estimated the ACR using three methodologies: directional recordings, recordings from an online database of bird sounds (xeno-canto), and behavioral field studies. The ACRs estimated using directional recordings and behavioral field studies were similar, and bird numbers were over and underestimated by 0.8 and 10%, respectively (74-77% of the sampling sites were well estimated). However, the ACR estimated using xeno-canto recordings was much higher than those estimated using the other two methods, and bird numbers were underestimated by 41%. We also performed a cost-effectiveness assessment of the number of individuals and recording durations needed to optimize the estimation of a reliable ACR. We found that ACR estimates were more efficient if long (25 min) recordings were used when < 4 males were recorded, whereas 5-min recordings were more efficient for ≥ 20 males. We conclude that cue counting can be useful to infer bird density around recorders but requires an accurate measure of the ACR. Further research should evaluate the effectiveness of passive cue counting on a large number of species and under different circumstances.Cristian Pérez-GranadosAdrián BarreroJuan TrabaDaniel Bustillo-de la RosaMargarita ReverterJulia Gómez-CatasúsResilience Alliancearticleautonomous recording unit<span style="font-style: normal">chersophilus duponti</span> population estimatesvocal activitywildlife monitoringxeno-cantoPlant cultureSB1-1110Environmental sciencesGE1-350Plant ecologyQK900-989ENAvian Conservation and Ecology, Vol 16, Iss 1, p 11 (2021) |
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autonomous recording unit <span style="font-style: normal">chersophilus duponti </span> population estimates vocal activity wildlife monitoring xeno-canto Plant culture SB1-1110 Environmental sciences GE1-350 Plant ecology QK900-989 |
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autonomous recording unit <span style="font-style: normal">chersophilus duponti </span> population estimates vocal activity wildlife monitoring xeno-canto Plant culture SB1-1110 Environmental sciences GE1-350 Plant ecology QK900-989 Cristian Pérez-Granados Adrián Barrero Juan Traba Daniel Bustillo-de la Rosa Margarita Reverter Julia Gómez-Catasús Assessment of cue counting for estimating bird density using passive acoustic monitoring: recommendations for estimating a reliable cue rate |
description |
Cue counting is a method developed for estimating vocally active wildlife density by dividing the density of cues (number of cues per unit area surveyed per unit time) by the average cue rate (ACR) at which individuals vocalize. It has been used successfully to estimate whale density using passive acoustic monitoring, but its efficacy has had limited testing in birds. We tested whether cue counting can be used to infer bird abundance using autonomous recording units and estimated the minimum effort required to obtain a reliable cue rate at individual and population levels. We recorded Dupont's Lark (Chersophilus duponti) vocalizations at 31 sites where traditional field censuses were also performed. We estimated the ACR using three methodologies: directional recordings, recordings from an online database of bird sounds (xeno-canto), and behavioral field studies. The ACRs estimated using directional recordings and behavioral field studies were similar, and bird numbers were over and underestimated by 0.8 and 10%, respectively (74-77% of the sampling sites were well estimated). However, the ACR estimated using xeno-canto recordings was much higher than those estimated using the other two methods, and bird numbers were underestimated by 41%. We also performed a cost-effectiveness assessment of the number of individuals and recording durations needed to optimize the estimation of a reliable ACR. We found that ACR estimates were more efficient if long (25 min) recordings were used when < 4 males were recorded, whereas 5-min recordings were more efficient for ≥ 20 males. We conclude that cue counting can be useful to infer bird density around recorders but requires an accurate measure of the ACR. Further research should evaluate the effectiveness of passive cue counting on a large number of species and under different circumstances. |
format |
article |
author |
Cristian Pérez-Granados Adrián Barrero Juan Traba Daniel Bustillo-de la Rosa Margarita Reverter Julia Gómez-Catasús |
author_facet |
Cristian Pérez-Granados Adrián Barrero Juan Traba Daniel Bustillo-de la Rosa Margarita Reverter Julia Gómez-Catasús |
author_sort |
Cristian Pérez-Granados |
title |
Assessment of cue counting for estimating bird density using passive acoustic monitoring: recommendations for estimating a reliable cue rate |
title_short |
Assessment of cue counting for estimating bird density using passive acoustic monitoring: recommendations for estimating a reliable cue rate |
title_full |
Assessment of cue counting for estimating bird density using passive acoustic monitoring: recommendations for estimating a reliable cue rate |
title_fullStr |
Assessment of cue counting for estimating bird density using passive acoustic monitoring: recommendations for estimating a reliable cue rate |
title_full_unstemmed |
Assessment of cue counting for estimating bird density using passive acoustic monitoring: recommendations for estimating a reliable cue rate |
title_sort |
assessment of cue counting for estimating bird density using passive acoustic monitoring: recommendations for estimating a reliable cue rate |
publisher |
Resilience Alliance |
publishDate |
2021 |
url |
https://doaj.org/article/9c1a3fe569fe4941ac2f0288c489e439 |
work_keys_str_mv |
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_version_ |
1718426920006189056 |