Human vs. machine: Identification of bat species from their echolocation calls by humans and by artificial neural networks

Canadian Journal of Zoology

Volumn 86, Issue 5, 2008, Pages 371-377

  Jennings, N ^a,c   Parsons, S ^b   Pocock, M J O ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c NONE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOMATION; DETECTION METHOD; ECHOLOCATION; IDENTIFICATION METHOD; PERFORMANCE ASSESSMENT; SIGNAL-TO-NOISE RATIO; ULTRASONICS;

EID: 44449083799     PISSN: 00084301     EISSN: None     Source Type: Journal    
DOI: 10.1139/Z08-009     Document Type: Article

References (32)

1. Acevedo, M.A., and 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.
2. Ahlén, I. 1981. Identification of Scandinavian bats by their sounds. Rep. No. 6. Department of Wildlife Ecology, Swedish University of Agricultural Sciences, Uppsala.
3. Barclay, R.M.R. 1999. Bats are not birds - a cautionary note on using echolocation calls to identify bats: a comment. J. Mammal. 80: 290-296. doi:10.2307/1383229.
4. Betts, B.J. 1998. Effects of interindividual variation in echolocation calls on identification of big brown and silver-haired bats. J. Wildl. Manag. 62: 1003-1010. doi:10.2307/3802553.
5. Chesmore, E.D., and Ohya, E. 2004. Automated identification of field-recorded songs of four British grasshoppers using bioacoustic signal recognition. Bull. Entomol. Res. 94: 319-330. doi:10.1079/BER2004306. PMID:15301697.
6. Fenton, M.B. 1970. A technique for monitoring bat activity with results obtained from different environments in southern Ontario. Can. J. Zool. 48: 847-851. doi:10.1139/z70-148.
7. Fuller, R.J., Norton, L.R., Feber, R.E., Johnson, P.J., Chamberlain, D.E., Joys, A.C., Matthews, F., Stuart, R.C., Townsend, M.C., Manley, W.J., Wolfe, M.S., Macdonald, D.W., and Firbank, L.G. 2005. Benefits of organic farming to biodiversity vary among taxa. Biol. Lett. 1: 431-434. doi:10.1098/rsbl.2005.0357. PMID:17148225.
8. Gaston, K.J., and O'Neill, M.A. 2004. Automated species identification: why not? Philos. Trans. R. Soc. Lond. B Biol. Sci. 359: 655-667. doi:10.1098/rstb.2003.1442.
9. Glendell, M., and Vaughan, N. 2002. Foraging activity of bats in historic landscape parks in relation to habitat composition and park management. Anim. Conserv. 5: 309-316.
10. Griffin, D.R., Webster, F.A., and Michael, C.R. 1960. The echolocation of flying insects by bats. Anim. Behav. 8: 141-154. doi:10.1016/0003- 3472(60)90022-1.
11. Herr, A., Klomp, N.I., and Atkinson, J.S. 1997. Identification of bat echolocation calls using a decision tree classification system [online]. Complex. Int. 4. Available from http://journal-ci.csse.monash.edu.au/ ci_louise/vol04/herr/batcall.html [accessed 1 April 2008].
12. Hurlbert, S.H. 1984. Pseudoreplication and the design of ecological field experiments. Ecol. Monogr. 54: 187-211. doi:10.2307/1942661.
13. Jennings, N.V., Parsons, S., Barlow, K.E., and Gannon, M.R. 2004. Echolocation calls and wing morphology of bats from the West Indies. Acta Chiropt. 6: 75-90.
14. Jones, G., and van Parijs, S.M. 1993. Bimodal echolocation in pipistrelle bats: are cryptic species present? Proc. R. Soc. B Biol. Sci. 251: 119-125. doi:10.1098/rspb.1993.0017.
15. Jones, G., Vaughan, N., and Parsons, S. 2000. Acoustic identification of bats from directly sampled and time expanded recordings of vocalizations. Acta Chiropt. 2: 155-170.
16. Jones, G., Vaughan, N., Russo, D., Wickramasinghe, L.P., and Harris, S. 2004. Designing bat activity surveys using time expansion and direct sampling of ultrasound. In Bat echolocation research: tools, techniques and analysis. Edited by R.M. Brigham, E.K.V. Kalko, G. Jones, S. Parsons, and H.J.G.A. Limpens. Bat Conservation International, Austin, Texas. pp. 83-89.
17. Kazial, K.A., Burnett, S.C., and Masters, W.M. 2001. Individual and group variation in echolocation calls of big brown bats, Eptesicus fuscus (Chiroptera: Vespertilionidae). J. Mammal. 82: 339-351. doi:10.1644/1545-1542(2001)082〈0339:IAGVIE〉2.0.CO;2.
18. Limpens, H.J.G.A. 2004. Field identification: using bat detectors to identify species. In Bat echolocation research: tools, techniques and analysis. Edited by R.M. Brigham, E.K.V. Kalko, G. Jones, S. Parsons, and H.J.G.A. Limpens. Bat Conservation International, Austin, Texas. pp. 46-57.
19. Moreno, C.E., and Halffter, G. 2000. Assessing the completeness of bat biodiversity inventories using species accumulation curves. J. Appl. Ecol. 37: 149-158. doi:10.1046/j.1365-2664.2000.00483.x.
20. Obrist, M.K. 1995. Flexible bat echolocation: the influence of individual, habitat and conspecifics on sonar signal design. Behav. Ecol. Sociobiol. 36: 207-219. doi:10.1007/s002650050142.
21. Obrist, M.K., Boesch, R., and Flückiger, P.F. 2004. Variability in echolocation call design of 26 Swiss bat species: consequences, limits and options for automated field identification with a synergetic pattern recognition approach. Mammalia, 68: 307-322. doi:10.1515/mamm.2004.030.
22. Ochoa, J., O'Farrell, M.J., and Miller, B.W. 2000. Contribution of acoustic methods to the study of insectivorous bat diversity in protected areas from northern Venezuela. Acta Chiropt. 2: 171-183.
23. Parsons, S., and Jones, G. 2000. Acoustic identification of twelve species of echolocating bat by discriminant function analysis and artificial neural networks. J. Exp. Biol. 203: 2641-2656. PMID:10934005.
24. Placer, J., and Slobodchikoff, C.N. 2000. A fuzzy-neural system for identification of species-specific alarm calls of Gunnison's prairie dogs. Behav. Process. 52: 1-9. doi:10.1016/S0376-6357(00)00105-4. PMID:11011104.
25. Pocock, M.J.O., and Jennings, N. 2007. Testing biotic indicator taxa: the sensitivity of insectivorous mammals and their prey to the intensification of lowland agriculture. J. Appl. Ecol.. doi:10. 1111/j.1365-2664.2007.01361.x. PMID:17710182.
26. Redgwell, R.D. 2006. Development of an acoustic identification system for 14 species of British microchiropteran bats. M.Sc. thesis, School of Biological Sciences, The University of Auckland, Auckland, New Zealand.
27. Skowronski, M.D., and Harris, J.G. 2006. Acoustic detection and classification of microchiroptera using machine learning: lessons learned from automatic speech recognition. J. Acoust. Soc. Am. 119: 1817-1833. doi:10.1121/1.2166948. PMID:16583922.
28. Vaughan, N., Jones, G., and Harris, S. 1996. Effects of sewage effluent on the activity of bats (Chiroptera: Vespertilionidae) forging along rivers. Biol. Conserv. 78: 337-343. doi:10.1016/S0006-3207(96)00009-2.
29. Vaughan, N., Jones, G., and Harris, S. 1997. Identification of British bat species by multivariate analysis of echolocation calls. Bioacoustics, 7: 189-207.
30. Walsh, A.L., Catto, C.M.C., Hutson, A.M., Racey, P.A., Richardson, P., and Langton, S. 2001. The UK's National Bat Monitoring Programme Final Report 2001. Rep. No. CR018. Defra Publications, London.
31. Weller, T.J., Seidman, V.M., and Zabel, C.J. 1998. Assessment of foraging activity using Anabat II: a cautionary note. Bat. Res. News, 39: 61-65.
32. Wickramasinghe, L.P., Harris, S., Jones, G., and Vaughan, N. 2003. Bat activity and species richness on organic and conventional farms: impact of agricultural intensification. J. Appl. Ecol. 40: 984-993. doi:10.1111/j.1365-2664.2003.00856.x.