Literature DB >> 24628442

Vocal activity as a low cost and scalable index of seabird colony size.

Abraham L Borker1, Matthew W McKown, Joshua T Ackerman, Collin A Eagles-Smith, Bernie R Tershy, Donald A Croll.   

Abstract

Although wildlife conservation actions have increased globally in number and complexity, the lack of scalable, cost-effective monitoring methods limits adaptive management and the evaluation of conservation efficacy. Automated sensors and computer-aided analyses provide a scalable and increasingly cost-effective tool for conservation monitoring. A key assumption of automated acoustic monitoring of birds is that measures of acoustic activity at colony sites are correlated with the relative abundance of nesting birds. We tested this assumption for nesting Forster's terns (Sterna forsteri) in San Francisco Bay for 2 breeding seasons. Sensors recorded ambient sound at 7 colonies that had 15-111 nests in 2009 and 2010. Colonies were spaced at least 250 m apart and ranged from 36 to 2,571 m(2) . We used spectrogram cross-correlation to automate the detection of tern calls from recordings. We calculated mean seasonal call rate and compared it with mean active nest count at each colony. Acoustic activity explained 71% of the variation in nest abundance between breeding sites and 88% of the change in colony size between years. These results validate a primary assumption of acoustic indices; that is, for terns, acoustic activity is correlated to relative abundance, a fundamental step toward designing rigorous and scalable acoustic monitoring programs to measure the effectiveness of conservation actions for colonial birds and other acoustically active wildlife.
© 2014 Society for Conservation Biology.

Entities:  

Keywords:  Aves marinas; adaptive management; bioacoustics; bioacústica; manejo adaptativo; monitoreo; monitoring; population indices; seabirds; índices de población

Mesh:

Year:  2014        PMID: 24628442     DOI: 10.1111/cobi.12264

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  6 in total

1.  Automated Sound Recognition Provides Insights into the Behavioral Ecology of a Tropical Bird.

Authors:  Olaf Jahn; Todor D Ganchev; Marinez I Marques; Karl-L Schuchmann
Journal:  PLoS One       Date:  2017-01-13       Impact factor: 3.240

2.  Designing better frog call recognition models.

Authors:  Paul S Crump; Jeff Houlahan
Journal:  Ecol Evol       Date:  2017-03-30       Impact factor: 2.912

3.  Sampling strategies for species with high breeding-site fidelity: A case study in burrow-nesting seabirds.

Authors:  Gavin E Arneill; Christopher M Perrins; Matt J Wood; David Murphy; Luca Pisani; Mark J Jessopp; John L Quinn
Journal:  PLoS One       Date:  2019-08-27       Impact factor: 3.240

4.  Assemblage of Focal Species Recognizers-AFSR: A technique for decreasing false indications of presence from acoustic automatic identification in a multiple species context.

Authors:  Ivan Braga Campos; Todd J Landers; Kate D Lee; William George Lee; Megan R Friesen; Anne C Gaskett; Louis Ranjard
Journal:  PLoS One       Date:  2019-12-05       Impact factor: 3.240

5.  The vocal repertoire of the African Penguin (Spheniscus demersus): structure and function of calls.

Authors:  Livio Favaro; Laura Ozella; Daniela Pessani
Journal:  PLoS One       Date:  2014-07-30       Impact factor: 3.240

6.  Globally threatened vertebrates on islands with invasive species.

Authors:  Dena R Spatz; Kelly M Zilliacus; Nick D Holmes; Stuart H M Butchart; Piero Genovesi; Gerardo Ceballos; Bernie R Tershy; Donald A Croll
Journal:  Sci Adv       Date:  2017-10-25       Impact factor: 14.136

  6 in total

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