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Challenges of Using Bioacoustics to Globally Monitor Bats

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Bat Evolution, Ecology, and Conservation

Abstract

As bats are important biodiversity indicators, monitoring their populations is becoming increasingly important to understand the impacts of global change. Bats leak information about themselves into the environment in the form of ultrasonic calls. Using these calls to globally survey bat populations may offer a more efficient alternative or addition to traditional methods for bat monitoring. We identify three of the most important challenges to the development of a global acoustic bat monitoring programme: the robust identification of acoustic signals, the ability to develop meaningful population trends from acoustic activity, and engaging a global audience to take part. We discuss the rapid progress in all three of these areas, for example, development of comprehensive call libraries, quantitative regional tools for call identification, new statistical methods to monitor trends and a resurgence of interest in the public participation in science and monitoring of nature. We also discuss the important gaps in our knowledge and where resources could be best focused to build a global programme. Specifically, tropical areas present a particular challenge: they have high species-richness; species acoustic diversity is poorly documented; call similarity of species is very high, making robust call identification more challenging; and traditionally these areas have had a lower citizen engagement in biodiversity monitoring.

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References

  • Aanensen DM, Huntley DM, Feil EJ, al-Own F, Spratt BG (2009) EpiCollect: linking smartphones to web applications for epidemiology, ecology and community data collection. PLoS One 4(9):e6968

    Article  PubMed  Google Scholar 

  • Ahlen I, Baagoe H (1999) Use of ultrasound detectors for bat studies in Europe: experiences from field identification, surveys, and monitoring. Acta Chiropterol 1:137–150

    Google Scholar 

  • Armitage DW, Ober HK (2010) A comparison of supervised learning techniques in the classification of bat echolocation calls. Ecol Inform 5:465–473

    Article  Google Scholar 

  • Barclay RMR (1999) Bats are not birds: a cautionary note on using echolocation calls to identify bats: a comment. J Mammal 80:290–296

    Article  Google Scholar 

  • Battersby J (2010) Guidelines for surveillance and monitoring of European bats. EUROBATS Publication Series No. 5. UNEP/EUROBATS Secretariat, Bonn, Germany

    Google Scholar 

  • Bazley EN (1976) Sound absorption in air at frequencies up to 100 kHz. NPL Acoustics Report Ac 74, National Physics Laboratory

    Google Scholar 

  • Beyer HL (2004) Hawths analysis tools for ArcGIS. http://www.spatialecology.com/htools

  • Brandes TS (2008) Feature vector selection and use with Hidden Markov Models to identify frequency-modulated bioacoustic signals amidst noise. IEEE Trans Audio Speech Lang Processing 16:1173–1180. doi:10.1109/TASL.2008.925872

    Article  Google Scholar 

  • Britzke ER, Duchamp JE, Murray KL et al (2011) Acoustic identification of bats in the eastern United States: a comparison of parametric and nonparametric methods. J Wildl Manage 75:660–667. doi:10.1002/jwmg.68

    Article  Google Scholar 

  • Brooks RT (2011) Declines in summer bat activity in central New England 4 years following the initial detection of white-nose syndrome. Biodivers Conserv 20:2537–2541. doi:10.1007/s10531-011-9996-0

    Article  Google Scholar 

  • Bruggeman J, Heringa J, Brandt BW (2009) PhyloPars: estimation of missing parameter values using phylogeny. Nucleic Acids Res 37:W179–W184. doi:10.1093/nar/gkp370

    Article  PubMed  CAS  Google Scholar 

  • Buckley D, Puechmaille S, Roche N, Teeling E (2011) A critical assessment of the presence of Barbastella barbastellus and Nyctalus noctula in Ireland with a description of N. leisleri echolocation calls from Ireland. Hystrix Ital J Mammal 22:111–127. doi:10.4404/Hystrix-22.1.4472

    Google Scholar 

  • Campbell G, Gisiner RC, Helweg DA, Milette LL (2002) Acoustic identification of female Steller sea lions (Eumetopias jubatus). J Acoust Soc Am 111:2920–2928

    Article  PubMed  Google Scholar 

  • Chesmore D (2004) Automated bioacoustic identification of species. Ann Braz Acad Sci 76:435–440

    Google Scholar 

  • Collen A (2012) The evolution of echolocation. PhD thesis, University College London

    Google Scholar 

  • Davis SB, Mermelstein P (1980) Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans Acoust 28:357–366

    Article  Google Scholar 

  • Doupe AJ, Kuhl PK (1999) Birdsong and human speech: common themes and mechanisms. Annu Rev Neurosci 22:567–631. doi:10.1146/annurev.neuro.22.1.567

    Article  PubMed  CAS  Google Scholar 

  • Dudley H, Balashek S (1958) Automatic recognition of phonetic patterns in speech. J Acoust Soc Am 30:721–733

    Article  Google Scholar 

  • ESRI (2008) ArcGIS v.9.3. Redlands, CA

    Google Scholar 

  • Estrada-Villegas S, Meyer CFJ, Kalko EKV (2010) Effects of tropical forest fragmentation on aerial insectivorous bats in a land-bridge island system. Biol Conserv 143:597–608. doi:10.1016/j.biocon.2009.11.009

    Article  Google Scholar 

  • Fagerlund S (2007) Bird species recognition using support vector machines. EURASIP J Adv Signal Process 2007:1–8. doi:10.1155/2007/38637

    Article  Google Scholar 

  • Fukui D, Agetsuma N, Hill D (2004) Acoustic identification of eight species of bat (Mammalia: Chiroptera) inhabiting forests of southern Hokkaido, Japan: potential for conservation monitoring. Zool Sci 21:947–955. doi:10.2108/zsj.21.947

    Article  PubMed  Google Scholar 

  • Ganchev T, Potamitis I, Fakotakis N (2007) Acoustic monitoring of singing insects. Proceedings of the 2007 IEEE international conference on acoustics, speech and signal processing – ICASSP’07. IEEE, pp 721–724

    Google Scholar 

  • Greenwood DD (1961) Critical bandwidth and the frequency coordinates of the basilar membrane. J Acoust Soc Am 33:1344–1356

    Article  Google Scholar 

  • Griffin D (1958) Listening in the dark. Yale University Press, New Haven, CT

    Google Scholar 

  • Griffin D, Galambos R (1941) The sensory basis of obstacle avoidance by flying bats. J Exp Zool 86:481–586

    Article  Google Scholar 

  • Griffin DR, Webster FA, Michael CR (1960) The echolocation of flying insects by bats. Anim Behav 8:141–154

    Article  Google Scholar 

  • Harris JG, Skowronski MD (2006) Automatic speech processing methods for bioacoustic signal analysis: a case study of cross-disciplinary acoustic research. Proceedings of the 2006 IEEE international conference on acoustics, speech and signal processing – ICASSP’06. pp 793–796

    Google Scholar 

  • Hayes J (2000) Assumptions and practical considerations in the design and interpretation of echolocation-monitoring studies. Acta Chiropterol 2:225–236

    Google Scholar 

  • Hayes J, Ober H, Sherwin R (2009) Survey and monitoring of bats. In: Kunz T, Parsons S (eds) Ecological and behavioral methods for the study of bats, 2nd edn. John Hopkins University Press, Baltimore, MD, pp 112–129

    Google Scholar 

  • Haysom KA (2008) Streamlining European 2010 biodiversity indicators (SEBI 2010): developing a methodology for using bats as indicator species; and testing the usability of GBIF data for use in 2010 biodiversity indicators, European environment agency technical report series. European Environment Agency, Copenhagen

    Google Scholar 

  • Heller K, Von Helversen O (1989) Resource partitioning of sonar frequency bands in rhinolophoid bats. Oecologia 80:178–186

    Google Scholar 

  • Hughes A, Satasook C, Bates P et al (2010) Echolocation call analysis and presence-only modelling as conservation monitoring tools for Rhinolophoid bats in Thailand. Acta Chiropterol 12:311–327

    Article  Google Scholar 

  • Hutchinson JMC, Waser PM (2007) Use, misuse and extensions of “ideal gas” models of animal encounter. Biol Rev 82:335–359

    Article  PubMed  Google Scholar 

  • IUCN (2012) IUCN red list of threatened species version 2012.14. http://www.iucnredlist.org

  • Jaberg C, Guisan A (2001) Modelling the distribution of bats in relation to landscape structure in a temperate mountain environment. J Appl Ecol 38:1169–1181

    Article  Google Scholar 

  • Jennings N, Parsons S, Pocock MJO (2008) Human vs. machine: identification of bat species from their echolocation calls by humans and by artificial neural networks. Can J Zool 86:371–377. doi:10.1139/Z08-009

    Article  Google Scholar 

  • Jones G, Siemers BM (2011) The communicative potential of bat echolocation pulses. J Comp Physiol A Neuroethol Sens Neural Behav Physiol 197:447–457. doi:10.1007/s00359-010-0565-x

    Article  PubMed  Google Scholar 

  • Jones G, Teeling E (2006) The evolution of echolocation in bats. Trends Ecol Evol 21:149–156. doi:10.1016/j.tree.2006.01.001

    Article  PubMed  Google Scholar 

  • Jones G, Jacobs D, Kunz T et al (2009a) Carpe noctem: the importance of bats as bioindicators. Endanger Species Res 8:93–115. doi:10.3354/esr00182

    Article  Google Scholar 

  • Jones KE, Bielby J, Cardillo M et al (2009b) PanTHERIA: a species-level database of life history, ecology, and geography of extant and recently extinct mammals. Ecology 90:2648–2648. doi:10.1890/08-1494.1

    Article  Google Scholar 

  • Jones KE, Russ J, Bashta A-T et al (2013) Indicator bats program: a system for the global acoustic monitoring of bats. In: Collen B, Pettorelli N, Baillie JEM, Durant S (eds) Biodiversity monitoring and conservation: bridging the gaps between global commitment and local action. Wiley, London, pp 211–247. doi:10.1002/9781118490747.ch10

    Chapter  Google Scholar 

  • Kalko EV, Schnitzler H-U (1993) Plasticity in echolocation signals of European Pipistrelle bats in search flight: implications for habitat use and prey detection. Behav Ecol Sociobio 33:415–428. doi:10.1007/BF00170257

    Article  Google Scholar 

  • Kéry M, Royle JA, Schmid H et al (2010) Site-occupancy distribution modeling to correct population-trend estimates derived from opportunistic observations. Conserv Biol 24:1388–1397. doi:10.1111/j.1523-1739.2010.01479.x

    Article  PubMed  Google Scholar 

  • Kofoky A, Andriafidison D, Ratrimomanarivo F et al (2006) Habitat use, roost selection and conservation of bats in Tsingy De Bemaraha National Park, Madagascar. Biodivers Conserv 16:1039–1053. doi:10.1007/s10531-006-9059-0

    Article  Google Scholar 

  • Korine C, Kalko EK (2001) Toward a global bat-signal database. IEEE Eng Med Biol 20:81–85

    Article  CAS  Google Scholar 

  • Kossel M (1993) Evidence for a mechanical filter in the cochlea of the ‘constant frequency’ bats, Rhinolophus rouxi and Pteronotus parnellii. Hear Res 72:73–80

    Article  Google Scholar 

  • Kunz T, Brock C (1975) A comparison of mist nets and ultrasonic detectors for monitoring flight activity of bats. J Mammal 58:309–315

    Article  Google Scholar 

  • Kunz TH, Arnett E, Erickson W et al (2007) Ecological impacts of wind energy development on bats: questions, research needs, and hypotheses. Front Ecol Environ 5:315–324

    Article  Google Scholar 

  • Larsen RJ, Boegler KA, Genoways HH et al (2007) Mist netting bias, species accumulation curves, and the rediscovery of two bats on Montserrat (Lesser Antilles). Acta Chiropterol 9:423–435. doi:10.3161/1733-5329(2007)9[423:MNBSAC]2.0.CO;2

    Article  Google Scholar 

  • Lee C-H, Lee Y-K, Huang R-Z (2006) Automatic recognition of bird songs using Cepstral Coefficients. J Inform Technol Appl 1:17–23

    Google Scholar 

  • Limpens H (2004) Field identification: using bat detectors to identify species. In: Brigham M, Kalko EKV, Jones G et al (eds) Bat echolocation research: tools, techniques and analysis. Bat Conservation International, Austin, TX, pp 46–57

    Google Scholar 

  • Lundy M, Teeling E, Boston E et al (2011) The shape of sound: elliptic fourier descriptors (EFD) discriminate the echolocation calls of Myotis bats (M. daubentonii, M. nattereri & M. mystacinus). J Bioacoust 20:101–116

    Article  Google Scholar 

  • MacSwiney MC, Clarke FM, Racey P (2008) What you see is not what you get: the role of ultrasonic detectors in increasing inventory completeness in neotropical bat assemblages. J Appl Ecol 45:1364–1371. doi:10.1111/j.1365-2664.2008.01531.x

    Article  Google Scholar 

  • Meyer CFJ, Aguiar LMS, Aguirre LF et al (2011) Accounting for detectability improves estimates of species richness in tropical bat surveys. J Appl Ecol 48:777–787. doi:10.1111/j.1365-2664.2011.01976.x

    Article  Google Scholar 

  • Mirzaei G, Majid MW, Ross J, et al. (2012) The BIO-acoustic feature extraction and classification of bat echolocation calls. 2012 IEEE international conference on electro/information technology. doi:10.1109/EIT.2012.6220700

  • Murray SO, Mercado E, Roitblat HL (1998) The neural network classification of false killer whale (Pseudorca crassidens) vocalisations. J Acoust Soc Am 104:3626–3633

    Article  PubMed  CAS  Google Scholar 

  • Murray K, Britzke E, Robbins L (2001) Variation in search phase calls of bats. J Mammal 82:728–737

    Article  Google Scholar 

  • O’Farrell MJ, Gannon WL (1999) A comparison of acoustic versus capture techniques for the inventory of bats. J Mammal 80:24–30

    Article  Google Scholar 

  • Obrist MK (1995) Flexible bat echolocation: the influence of individual, habitat and conspecifics on sonar signal design. Behav Ecol Sociobiol 36:207–219

    Article  Google Scholar 

  • Obrist MK, Boesch R, Flückiger PF (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

    Article  Google Scholar 

  • Ochoa JG, O’Farrell MJ, Miller BW (2000) Contribution of acoustic methods to the study of insectivorous bat diversity in protected areas from northern Venezuela. Acta Chiropterol 2:171–183

    Google Scholar 

  • Papadatou E, Butlin RK, Altringham JD (2008) Identification of bat species in Greece from their echolocation calls. Acta Chiropterol 10:127–143. doi:10.3161/150811008X331153

    Article  Google Scholar 

  • Parmesan C (2006) Ecological and evolutionary responses to recent climate change. Annu Rev Ecol Evol Syst 37:637–669. doi:10.1146/annurev.ecolsys.37.091305.110100

    Article  Google Scholar 

  • Parsons S (2001) Identification of New Zealand bats (Chalinolobus tuberculatus and Mystacina tuberculata) in flight from analysis of echolocation calls by artificial neural networks. J Zool 253:447–456. doi:10.1017/S0952836901000413

    Article  Google Scholar 

  • Parsons S, 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

    PubMed  CAS  Google Scholar 

  • Parsons S, Szewczak JM (2009) Detecting, recording, and analyzing the vocalizations of bats. In: Kunz TH, Parsons S (eds) Ecological and behavioral methods for the study of bats. John Hopkins University Press, Baltimore, MD, pp 91–111

    Google Scholar 

  • Parsons S, Boonman A, Obrist MK (2000) Advantages and disadvantages of techniques for transforming and analyzing Chiropteran echolocation calls. J Mammal 81:927–938

    Article  Google Scholar 

  • Patriquin K, Hogberg L, Chruszcz B, Barclay R (2003) The influence of habitat structure on the ability to detect ultrasound using bat detectors. Wildl Soc Bull 31:475–481

    Google Scholar 

  • Preatoni DG, Nodari M, Chirichella R et al (2005) Identifying bats from time-expanded recordings of search calls: comparing classification methods. J Wildl Manage 69:1601–1614

    Article  Google Scholar 

  • Puechmaille SJ, Frick WF, Kunz TH et al (2011) White-nose syndrome: is this emerging disease a threat to European bats? Trends Ecol Evol 26:573–579. doi:10.1016/j.tree.2011.06.013

    Article  Google Scholar 

  • Rebelo H, Tarroso P, Jones G (2009) Predicted impact of climate change on European bats in relation to their biogeographic patterns. Glob Change Biol 16:561–576. doi:10.1111/j.1365-2486.2009.02021.x

    Article  Google Scholar 

  • Redgwell RD, Szewczak JM, Jones G, Parsons S (2009) Classification of echolocation calls from 14 species of bat by support vector machines and ensembles of neural networks. Algorithms 2:907–924. doi:10.3390/a2030907

    Article  Google Scholar 

  • Roche N, Langton S, Aughney T, Russ J (2011) A car-based monitoring method reveals new information on bat populations and distributions in Ireland. Anim Conserv 14:642–651

    Article  Google Scholar 

  • Rodhouse TJ, Ormsbee PC, Irvine KM, Vierling LA, Szewczak JM, Vierling KT (2012) Assessing the status and trend of bat populations across broad geographic regions with dynamic distribution models. Ecol Appl 22:1098–1113

    Article  PubMed  Google Scholar 

  • Rowcliffe JM, Field J, Turvey S, Carbone C (2008) Estimating animal density using camera traps without the need for individual recognition. J Appl Ecol 45:1223–1236. doi:10.1111/j.1365-2664.2008.01473.x

    Article  Google Scholar 

  • Roy HE, Pocock MJO, Preston CD, Roy DB, Savage J, Tweddle JC, Robinson LD (2012) Understanding citizen science & environmental monitoring. Final report on behalf of UK-EOF. NERC Centre for Ecology & Hydrology and Natural History Museum

    Google Scholar 

  • Russo D, Jones G (2003) Use of foraging habitats by bats in a Mediterranean area determined by acoustic surveys: conservation implications. Ecography 26:197–209. doi:10.1034/j.1600-0587.2003.03422.x

    Article  Google Scholar 

  • Schnitzler H-U, Moss CF, Denzinger A (2003) From spatial orientation to food acquisition in echolocating bats. Trends Ecol Evol 18:386–394. doi:10.1016/S0169-5347(03)00185-X

    Article  Google Scholar 

  • Siemers BM, Beedholm K, Dietz C et al (2005) Is species identity, sex, age or individual quality conveyed by echolocation call frequency in European horseshoe bats? Acta Chiropterol 7:259–274. doi:10.3161/1733-5329(2005)7[259:ISISAO]2.0.CO;2

    Article  Google Scholar 

  • Simmons NB (2005) Order Chiroptera. In: Wilson DE, Reeder DM (eds) Mammal species of the world: a taxonomic and geographic reference. John Hopkins University Press, Baltimore, MD, pp 312–529

    Google Scholar 

  • Skowronski MD, Fenton MB (2008) Model-based detection of synthetic bat echolocation calls using an energy threshold detector for initialization. J Acoust Soc Am 123:2643–2650. doi:10.1121/1.2896752

    Article  PubMed  Google Scholar 

  • Struebig MJ, Kingston T, Petit EJ et al (2011) Parallel declines in species and genetic diversity in tropical forest fragments. Ecol Lett 14:582–590

    Article  PubMed  Google Scholar 

  • Thomas D, Bell G, Fenton M (1987) Variation in echolocation call frequencies recorded from North American Vespertilionid bats: a cautionary note. J Mammal 68:842–847

    Article  Google Scholar 

  • Trifa VM, Kirschel ANG, Taylor CE, Vallejo EE (2008) Automated species recognition of antbirds in a Mexican rainforest using hidden Markov models. J Acoust Soc Am 123:2424–2431

    Article  PubMed  Google Scholar 

  • Tyagi H, Hegde RM, Murthy HA, Prabhakar A (2006) Automatic identification of bird calls using spectral ensemble average voice prints. Proceedings of the european signal processing conference (EUSIPCO), Italy, p 5

    Google Scholar 

  • Ulanovsky N, Fenton MB, Tsoar A, Korine C (2004) Dynamics of jamming avoidance in echolocating bats. Proc R Soc Lond B Biol Sci 271:1467–1475. doi:10.1098/rspb.2004.2750

    Article  Google Scholar 

  • Vaughan N, Jones G, Harris S (1997) Habitat use by bats (Chiroptera) assessed by means of a broad-band acoustic method. J Appl Ecol 34:716. doi:10.2307/2404918

    Article  Google Scholar 

  • Walsh A, Catto C, Hutson T et al (2001) The UK’s national bat monitoring programme final report. Department for Environment, Food and Rural Affairs, London

    Google Scholar 

  • Walters CL, Freeman R, Dietz C et al (2012) A continental-scale tool for acoustic identification of European bats. J Appl Ecol 49:1064–1074

    Article  Google Scholar 

  • Wickramasinghe LP, Harris S, Jones G, Vaughan N (2003) Bat activity and species richness on organic and conventional farms: impact of agricultural intensification. J Appl Ecol 40:984–993

    Article  Google Scholar 

  • Williams S, Wolbert S, Whidden H (2007) Evaluation of the program SCAN’R for sorting ultrasonic recordings of bat vocalisations. Proceedings of the Northeast Bat Working Group, North Branch, NJ

    Google Scholar 

  • Zingg PE (1990) Akustische Artidentifikation von Fledermäusen (Mammalia: Chiroptera) in der Schweiz – acoustic species identification of bats (Mammalia, Chiroptera) in Switzerland. Rev Suisse Zool 97:263–294

    Google Scholar 

Download references

Acknowledgments

We thank Michel Barataud, Roger Coles, Christian Dietz, Brock Fenton, Dai Fukui, Gareth Jones, David Jacobs, Richard Jenkins, Nancy Jennings, Elisabeth Kalko, Martin Obrist, Stuart Parsons, Sebastien Puechmaille, and Thomas Sattler for contributing calls to EchoBank, Bernd Brandt for assistance using PhyloPars, and an anonymous reviewer and editor Rick Adams for invaluable comments on a previous version of this manuscript.

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Authors and Affiliations

  1. Institute of Zoology, Zoological Society of London, Regents Park, London, NW1 4RY, UK

    Charlotte L. Walters & Catherine A. Sayer

  2. Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK

    Alanna Collen, Tim Lucas, Kim Mroz & Kate E. Jones

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  1. Charlotte L. Walters
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  2. Alanna Collen
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Correspondence to Kate E. Jones .

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Editors and Affiliations

  1. School of Biological Sciences, University of Northern Colorado, Greeley, Colorado, USA

    Rick A. Adams

  2. Department of Biology, South Dakota State, Brookings, South Dakota, USA

    Scott C. Pedersen

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Walters, C.L., Collen, A., Lucas, T., Mroz, K., Sayer, C.A., Jones, K.E. (2013). Challenges of Using Bioacoustics to Globally Monitor Bats. In: Adams, R., Pedersen, S. (eds) Bat Evolution, Ecology, and Conservation. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7397-8_23

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