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Showing content from https://www.nature.com/articles/s41559-024-02420-w below:

African elephants address one another with individually specific name-like calls

References
  1. Fitch, W. T. The evolution of language: a comparative review. Biol. Philos. 20, 193–230 (2005).

    Google Scholar 

  2. Macedonia, J. M. & Evans, C. S. Variation among mammalian alarm call systems and the problem of meaning in animal signals. Ethology 93, 177–197 (1993).

    Google Scholar 

  3. Clay, Z., Smith, C. L. & Blumstein, D. T. Food-associated vocalizations in mammals and birds: what do these calls really mean? Anim. Behav. 83, 323–330 (2012).

    Google Scholar 

  4. Wheeler, B. C. & Fischer, J. Functionally referential signals: a promising paradigm whose time has passed. Evol. Anthropol. 21, 195–205 (2012).

    PubMed  Google Scholar 

  5. Smith, E. A. Communication and collective action: language and the evolution of human cooperation. Evol. Hum. Behav. 31, 231–245 (2010).

    Google Scholar 

  6. Dingemanse, M., Blasi, D. E., Lupyan, G., Christiansen, M. H. & Monaghan, P. Arbitrariness, iconicity, and systematicity in language. Trends Cogn. Sci. 19, 603–615 (2015).

    PubMed  Google Scholar 

  7. King, S. L. & Janik, V. M. Bottlenose dolphins can use learned vocal labels to address each other. Proc. Natl Acad. Sci. USA 110, 13216–13221 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Balsby, T. J. S., Momberg, J. V. & Dabelsteen, T. Vocal imitation in parrots allows addressing of specific individuals in a dynamic communication network. PLoS ONE 7, e49747 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  9. Janik, V. M. & Sayigh, L. S. Communication in bottlenose dolphins: 50 years of signature whistle research. J. Comp. Physiol. A 199, 479–489 (2013).

    Google Scholar 

  10. Poole, J. H., Tyack, P. L., Stoeger-Horwath, A. S. & Watwood, S. Elephants are capable of vocal learning. Nature 434, 455–456 (2005).

    CAS  PubMed  Google Scholar 

  11. Stoeger, A. S. et al. An Asian elephant imitates human speech. Curr. Biol. 22, 2144–2148 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Soltis, J., Leong, K. & Savage, A. African elephant vocal communication II: rumble variation reflects the individual identity and emotional state of callers. Anim. Behav. 70, 589–599 (2005).

    Google Scholar 

  13. Clemins, P. J., Johnson, M. T., Leong, K. M. & Savage, A. Automatic classification and speaker identification of African elephant (Loxodonta africana) vocalizations. J. Acoust. Soc. Am. 117, 956–963 (2005).

    PubMed  Google Scholar 

  14. McComb, K., Moss, C., Sayialel, S. & Baker, L. Unusually extensive networks of vocal recognition in African elephants. Anim. Behav. 59, 1103–1109 (2000).

    CAS  PubMed  Google Scholar 

  15. Poole, J. H. in The Amboseli Elephants: A Long-Term Perspective on a Long-Lived Mammal (eds Moss, C. J. et al.) 125–159 (Univ. Chicago Press, 2011).

  16. Breiman, L. Random forests. Mach. Learn. 45, 5–32 (2001).

    Google Scholar 

  17. Rhodes, J. S., Cutler, A. & Moon, K. R. Geometry- and accuracy-preserving random forest proximities. IEEE Trans. Pattern Anal. Mach. Intell. 45, 10947–10959 (2023).

    PubMed  Google Scholar 

  18. Foley, N. M. et al. A genomic timescale for placental mammal evolution. Science 380, eabl8189 (2023).

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Dahlin, C. R., Young, A. M., Cordier, B., Mundry, R. & Wright, T. F. A test of multiple hypotheses for the function of call sharing in female budgerigars, Melopsittacus undulatus. Behav. Ecol. Sociobiol. 68, 145–161 (2014).

    PubMed  Google Scholar 

  20. Wanker, R., Sugama, Y. & Prinage, S. Vocal labelling of family members in spectacled parrotlets, Forpus conspicillatus. Anim. Behav. 70, 111–118 (2005).

    Google Scholar 

  21. Prat, Y., Taub, M. & Yovel, Y. Everyday bat vocalizations contain information about emitter, addressee, context, and behavior. Sci. Rep. 6, 39419 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  22. Wittemyer, G., Douglas-Hamilton, I. & Getz, W. M. The socioecology of elephants: analysis of the processes creating multitiered social structures. Anim. Behav. 69, 1357–1371 (2005).

    Google Scholar 

  23. Archie, E. A., Moss, C. J. & Alberts, S. C. The ties that bind: genetic relatedness predicts the fission and fusion of social groups in wild African elephants. Proc. R. Soc. B 273, 513–522 (2006).

    CAS  PubMed  Google Scholar 

  24. Howard, D. J., Gengler, C. & Jain, A. What’s in a name? A complimentary means of persuasion. J. Consum. Res. 22, 200–211 (1995).

    Google Scholar 

  25. King, S. L., Sayigh, L. S., Wells, R. S., Fellner, W. & Janik, V. M. Vocal copying of individually distinctive signature whistles in bottlenose dolphins. Proc. R. Soc. B 280, 20130053 (2013).

    PubMed  PubMed Central  Google Scholar 

  26. Baotic, A. & Stoeger, A. S. Sexual dimorphism in African elephant social rumbles. PLoS ONE 12, e0177411 (2017).

    PubMed  PubMed Central  Google Scholar 

  27. Stoeger, A. S., Zeppelzauer, M. & Baotic, A. Age-group estimation in free-ranging African elephants based on acoustic cues of low-frequency rumbles. Bioacoustics 23, 231–246 (2014).

    PubMed  PubMed Central  Google Scholar 

  28. Zaman, S. R., Sadekeen, D., Alfaz, M. A. & Shahriyar, R. One source to detect them all: gender, age, and emotion detection from voice. In Proc. IEEE 45th Annual Computers, Software, and Applications Conference 338–343 (IEEE, 2021).

  29. Berg, K. S., Delgado, S., Cortopassi, K. A., Beissinger, S. R. & Bradbury, J. W. Vertical transmission of learned signatures in a wild parrot. Proc. R. Soc. B 279, 585–591 (2012).

    PubMed  Google Scholar 

  30. Stevens, S. S., Volkmann, J. & Newman, E. B. A scale for the measurement of the psychological magnitude pitch. J. Acoust. Soc. Am. 8, 185–190 (1937).

    Google Scholar 

  31. Vernes, S. C. et al. The multi-dimensional nature of vocal learning. Philos. Trans. R. Soc. B 376, 20200236 (2021).

    Google Scholar 

  32. Bradbury, J. W. & Balsby, T. J. S. The functions of vocal learning in parrots. Behav. Ecol. Sociobiol. 70, 293–312 (2016).

    Google Scholar 

  33. Connor, R. C. Dolphin social intelligence: complex alliance relationships in bottlenose dolphins and a consideration of selective environments for extreme brain size evolution in mammals. Philos. Trans. R. Soc. Lond. B 362, 587–602 (2007).

    Google Scholar 

  34. Bachorec, E. et al. Spatial networks differ when food supply changes: foraging strategy of Egyptian fruit bats. PLoS ONE 15, e0229110 (2020).

  35. Kerth, G., Perony, N. & Schweitzer, F. Bats are able to maintain long-term social relationships despite the high fission–fusion dynamics of their groups. Proc. R. Soc. B 278, 2761–2767 (2011).

    PubMed  PubMed Central  Google Scholar 

  36. Moss, C. J. & Poole, J. H. in Primate Social Relationships: An Integrated Approach (ed. Hinde, R. A.) 315–325 (Blackwell Science, 1983).

  37. Altmann, J. Observational study of behavior: sampling methods. Behaviour 49, 227–267 (1974).

    CAS  PubMed  Google Scholar 

  38. de Silva, S. Acoustic communication in the Asian elephant, Elephas maximus maximus. Behaviour 147, 825–852 (2010).

    Google Scholar 

  39. R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing https://www.R-project.org (2022).

  40. Sueur, J., Aubin, T. & Simonis, C. seewave, a free modular tool for sound analysis. Bioacoustics 18, 213–226 (2008).

    Google Scholar 

  41. Ligges, U., Krey, S., Mersmann, O. & Schnackenberg, S. tuneR: analysis of music and speech. R Project https://CRAN.R-projet.org/package=tuneR (2018).

  42. Anikin, A. Soundgen: an open-source tool for synthesizing nonverbal vocalizations. Behav. Res. Methods 51, 778–792 (2019).

    PubMed  Google Scholar 

  43. Heffner, R. S. & Heffner, H. E. Hearing in the elephant (Elephas maximus): absolute sensitivity, frequency discrimination, and sound localization. J. Comp. Physiol. Psychol. 96, 926–944 (1982).

    CAS  PubMed  Google Scholar 

  44. Ren, Y. et al. A framework for bioacoustic vocalization analysis using hidden Markov models. Algorithms 2, 1410–1428 (2009).

    Google Scholar 

  45. Davis, S. B. & Mermelstein, P. Comparison of parametric representations for monosyllabic word recognition. IEEE Trans. Acoust. 28, 357–366 (1980).

    Google Scholar 

  46. Sykulsi, M. rpca: RobustPCA: decompose a matrix into low-rank and sparse components. R package version 0.2.3. R Project https://CRAN.R-project.org/package=rpca (2015).

  47. Thomson, D. J. Spectrum estimation and harmonic analysis. Proc. IEEE 70, 1055–1096 (1982).

    Google Scholar 

  48. Correll, J., Mellinger, C. & Pedersen, E. J. Flexible approaches for estimating partial eta squared in mixed-effects models with crossed random factors. Behav. Res. Methods 54, 1626–1642 (2022).

    PubMed  Google Scholar 

  49. Wright, M. N. & Ziegler, A. ranger: a fast implementation of random forests for high dimensional data in C++ and R. J. Stat. Softw. 77, 1–17 (2017).

  50. Wittemyer, G. & Getz, W. M. Hierarchical dominance structure and social organization in African elephants, Loxodonta africana. Anim. Behav. 73, 671–681 (2007).

    Google Scholar 

  51. Archie, E. A., Morrison, T. A., Foley, C. A. H., Moss, C. J. & Alberts, S. C. Dominance rank relationships among wild female African elephants, Loxodonta africana. Anim. Behav. 71, 117–127 (2006).

    Google Scholar 

  52. Archie, E. A., Moss, C. J. & Alberts, S. C. in The Amboseli Elephants: A Long-Term Perspective on a Long-Lived Mammal (eds Moss, C. J. et al.) 238–245 (Univ. Chicago Press, 2011).

  53. Blanca, M. J., Alarcón, R., Arnau, J., Bono, R. & Bendayan, R. Non-normal data: is ANOVA still a valid option? Psicothema 29, 552–557 (2017).

    PubMed  Google Scholar 

  54. Strobl, C., Boulesteix, A. L., Kneib, T., Augustin, T. & Zeileis, A. Conditional variable importance for random forests. BMC Bioinform. 9, 307 (2008).

  55. Poole, J. H., Payne, K., Langbauer, W. R. J. & Moss, C. J. The social contexts of some very low-frequency calls of African elephants. Behav. Ecol. Sociobiol. 22, 385–392 (1988).

    Google Scholar 

  56. Poole, J. H. & Granli, P. in The Amboseli Elephants: A Long-Term Perspective on a Long-Lived Mammal (eds Moss, C. J. et al.) 109–124 (Univ. Chicago Press, 2011).

  57. Therneau, T. M. coxme: mixed effects cox models. R package version 2.2-18.1. R Project https://CRAN.R-project.org/package=coxme (2019).

  58. Bates, D., Mächler, M., Bolker, B. M. & Walker, S. C. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48 (2015).

    Google Scholar 

  59. Kleiber, C. & Zeileis, A. Applied Econometrics with R (Springer, 2008).

  60. Pardo, M. African elephants address one another with individually specific calls. Dryad https://doi.org/10.5061/dryad.hmgqnk9nj (2024).

  61. Pardo, M. African elephants address one another with individually specific calls. Zenodo https://doi.org/10.5281/zenodo.10576772 (2024).

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