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Articles

A cost-effective protocol for monitoring birds using autonomous recording units: a case study with a night-time singing passerine

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Pages 338-345 | Received 06 Apr 2018, Accepted 28 Jun 2018, Published online: 30 Aug 2018

References

  • Acevedo, M.A. & Villanueva-Rivera, L.J. 2006. Using automated digital recording systems as effective tools for the monitoring of birds and amphibians. Wildl. Soc. Bull. 34: 211–214. doi: 10.2193/0091-7648(2006)34[211:UADRSA]2.0.CO;2
  • Alquezar, R.D. & Machado, R.B. 2015. Comparisons between autonomous acoustic recordings and avian point counts in open woodland savanna. Wilson J. Ornithol. 127: 712–723. doi: 10.1676/14-104.1
  • Bibby, C.J., Burgess, N.D., Hill, D.A. & Mustoe, S. 2000. Bird Census Techniques. Academic Press, London.
  • BirdLife International. 2015. European Red List of Birds. Office for Official Publications of the European Communitties, Luxembourg.
  • BirdLife International. 2017. Chersophilus duponti (amended version of 2017 assessment). The IUCN Red List of Threatened Species e.T22717380A117697133.
  • Bota G., Pérez-Granados C., Garza V., Giralt D., Rojo M. & Traba J. 2017. ¿Cuál graba mejor? Comparación de la eficacia de cinco grabadores de audio ante diferentes condiciones acústicas y distancia. XXIII Congreso Español de Ornitología [or Otnithological Spanish Congress], Badajoz, Poster.
  • Brandes, T.S. 2008. Automated sound recording and analysis techniques for bird surveys and conservation. Bird Conserv. Int. 18: S163–S173.
  • Buxton, R.T. & Jones, I.L. 2012. Measuring nocturnal seabird activity and status using acoustic recording devices: applications for island restoration. J. Field Ornithol. 83: 47–60. doi: 10.1111/j.1557-9263.2011.00355.x
  • Buxton, R.T., Major, H.L., Jones, I.L. & Williams, J.C. 2013. Examining patterns in nocturnal seabird activity and recovery across the Western Aleutian Islands, Alaska, using automated acoustic recording. Auk 130: 331–341. doi: 10.1525/auk.2013.12134
  • Celis-Murillo, A., Deppe, J.L. & Allen, M.F. 2009. Using soundscape recordings to estimate bird species abundance, richness, and composition. J. Field Ornithol. 80: 64–78. doi: 10.1111/j.1557-9263.2009.00206.x
  • Celis-Murillo, A., Deppe, J.L. & Ward, M.P. 2012. Effectiveness and utility of acoustic recordings for surveying tropical birds. J. Field Ornithol. 83: 166–179. doi: 10.1111/j.1557-9263.2012.00366.x
  • Cramp, S. 1988. The Birds of the Western Palearctic. Vol. V. Oxford University Press, Oxford.
  • Digby, A., Towsey, M., Bell, B.D. & Teal, P.D. 2013. A practical comparison of manual and autonomous methods for acoustic monitoring. Methods Ecol. Evol. 4: 675–683. doi: 10.1111/2041-210X.12060
  • Esri, I.N.C. 2008. ArcGIS 9.3. Environmental Systems Research Institute, Redlands.
  • Garza, V., Suárez, F., Herranz, J., Traba, J., García de la Morena, E.L., Morales, M.B., González, R. & Castañeda, M. 2005. Space use and habitat selection of the endangered Dupont’s lark (Chersophilus duponti) in Spain: the breeding and postbreeding periods. Ardeola 52: 133–146.
  • Goyette, J.L., Howe, R.W., Wolf, A.T. & Robinson, W.D. 2011. Detecting tropical nocturnal birds using automated audio recordings. J. Field Ornithol. 82: 279–287. doi: 10.1111/j.1557-9263.2011.00331.x
  • Hedley, R.W., Huang, Y. & Yao, K. 2017. Direction-of-arrival estimation of animal vocalizations for monitoring animal behavior and improving estimates of abundance. Avian Conserv. Ecol. 12: 6. DOI: 10.5751/ACE-00963-120106.
  • Heinicke, S., Kalan, A.K., Wagner, O.J., Mundry, R., Lukashevich, H. & Kühl, H.S. 2015. Assessing the performance of a semi-automated acoustic monitoring system for primates. Methods Ecol. Evol. 6: 753–763. doi: 10.1111/2041-210X.12384
  • Hill, A.P., Prince, P., Piña Covarrubias, E., Doncaster, C. P., Snaddon, J. L. & Rogers, A. 2018. Audiomoth: evaluation of a smart open acoustic device for monitoring biodiversity and the environment. Methods Ecol. Evol. 9: 1199–1211. doi: 10.1111/2041-210X.12955
  • Holmes, S.B., Tuininga, K., McIlwrick, K.A., Carruthers, M. & Cobb, E. 2015. Using an integrated recording and sound analysis system to search for Kirtland’s Warbler (Setophaga kirtlandii) in Ontario. Can Field-Naturalist 129: 115–120. doi: 10.22621/cfn.v129i2.1688
  • Hutto, R.L. & Stutzman, R.J. 2009. Humans versus autonomous recording units: a comparison of point-count results. J. Field Ornithol. 80: 387–398. doi: 10.1111/j.1557-9263.2009.00245.x
  • Knight, E., Hannah, K., Foley, G., Scott, C., Brigham, R. & Bayne, E. 2017. Recommendations for acoustic recognizer performance assessment with application to five common automated signal recognition programs. Avian Conserv. Ecol. 12: 14. DOI: 10.5751/ACE-01114-120214
  • Laiolo, P. & Tella, J.L. 2005. Habitat fragmentation affects culture transmission: patterns of song matching in Dupont’s lark. J. App. Ecol. 42: 1183–1193. doi: 10.1111/j.1365-2664.2005.01093.x
  • Laiolo, P. & Tella, J.L. 2007. Erosion of animal cultures in fragmented landscapes. Front. Ecol. Environ. 5: 68–72 doi: 10.1890/1540-9295(2007)5[68:EOACIF]2.0.CO;2
  • Laiolo, P., Vögeli, M., Serrano, D. & Tella, J.L. 2007. Testing acoustic versus physical marking: two complementary methods for individual based monitoring of elusive species. J. Avian Biol. 38: 672–681. doi: 10.1111/j.2007.0908-8857.04006.x
  • Laiolo, P., Vögeli, M., Serrano, D. & Tella, J.L. 2008. Song diversity predicts the viability of fragmented bird populations. PLoS ONE 3: e1822 doi: 10.1371/journal.pone.0001822
  • Leach, E.C., Burwell, C.J., Ashton, L.A., Jones, D.N. & Kitching, R.L. 2016. Comparison of point counts and automated acoustic monitoring: detecting birds in a rainforest biodiversity survey. Emu 116: 305–309. doi: 10.1071/MU15097
  • Li, S., Wang, D., Gu, X. & McShea, W. J. 2010. Beyond pandas, the need for a standardized monitoring protocol for large mammals in Chinese nature reserves. Biodivers. Conserv. 19: 3195–3206. doi: 10.1007/s10531-010-9886-x
  • Lin, T.H., Fang, S.H. & Tsao, Y. 2017. Improving biodiversity assessment via unsupervised separation of biological sounds from long-duration recordings. Sci. Rep. 7: 4547. doi: 10.1038/s41598-017-04790-7
  • Pereira, H.M. & Cooper, H.D. 2006. Towards the global monitoring of biodiversity change. Trends Ecol. Evol. 21: 123–129. doi: 10.1016/j.tree.2005.10.015
  • Pérez-Granados, C. & López-Iborra, G.M. 2017. Assessment of counting methods used for estimating the number of territorial males in the endangered Dupont’s lark. Ardeola 64: 75–84. doi: 10.13157/arla.64.1.2017.sc2
  • Potamitis, I., Ntalampiras, S., Jahn, O. & Riede, K. 2014. Automatic bird sound detection in long real-field recordings: applications and tools. App. Acoustics 80: 1–9. doi: 10.1016/j.apacoust.2014.01.001
  • R Core Team. 2016. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. http://www.R-project.org.
  • Rempel, R.S., Francis, C.M., Robinson, J.N. & Campbell, M. 2013. Comparison of audio recording system performance for detecting and monitoring songbirds. J. Field Ornithol. 84: 86–97. doi: 10.1111/jofo.12008
  • Shonfield, J. & Bayne, E.M. 2017. Autonomous recording units in avian ecological research: current use and future applications. Avian Conserv. Ecol. 12: 14. DOI: 10.5751/ACE-00974-120114.
  • Suárez, F. (ed). 2010. [La alondra ricotí, Chersophilus duponti] Dirección General para la Biodiversidad. Ministerio de Medio Ambiente y Medios Rural y Marino, Madrid (in Spanish).
  • Towsey, M., Planitz, B., Nantes, A., Wimmer, J. & Roe, P. 2012. A toolbox for animal call recognition. Bioacoustics 21: 107–125. doi: 10.1080/09524622.2011.648753
  • Traba, J., Pérez-Granados, C., Bota, G., Giralt, D. & Albarracín, J.L. 2017. Nuevas tecnologías para viejos trabajos. Uso de grabadores automáticos para la detección y censo de especies raras y amenazadas. El caso de la alondra ricotí en Lleida y otras poblaciones pequeñas. Universidad Autónoma de Madrid. Madrid. Unpublished report.
  • Van Wilgenburg, S.L., Sólymos, P., Kardynal, K.J. & Frey, M.D. 2017. Paired sampling standardizes point count data from humans and acoustic recorders. Avian Conserv. Ecol. 12. DOI: 10.5751/ACE-00975-120113.
  • Venier, L.A., Holmes, S.B., Holborn, G.W., Mcilwrick, K.A. & Brown, G. 2012. Evaluation of an automated recording device for monitoring forest birds. Wildl. Soc. Bull. 36: 30–39. doi: 10.1002/wsb.88
  • Waddle, J.H., Thigpen, T.F. & Glorioso, B.M. 2009. Efficacy of automatic vocalization recognition software for anuran monitoring. Herpetol. Conserv. Biol. 4: 384–388.
  • Wildlife Acoustics. 2011. Song Scope User Manual: bioacoustics software (Version 4.0). Documentation. Wildlife Acoustics, Inc., Maynard, MA.
  • Yip, D.A., Leston, L., Bayne, E.M., Sólymos, P. & Grover, A. 2017. Experimentally derived detection distances from audio recordings and human observers enable integrated analysis of point count data. Avian Conserv. Ecol. 12:11. DOI: 10.5751/ACE-00997-120111.

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