Module 1: Elephant I — Trunk, Olfaction & Infrasound

An African bull elephant’s trunk contains no bones, no cartilage, and around 40 000 independent muscle fascicles arranged in radial, longitudinal, and oblique layers. Its function is governed by a single physical principle: the muscular hydrostat. Coupled to a pressure-driven respiratory system and the most sensitive mammalian olfactory apparatus known, the trunk is a biophysical marvel. In the second half of this module we turn to infrasound and seismic Rayleigh-wave communication— how 20 Hz rumbles and foot-stomps carry contact, alarm, and estrus signals across 10–20 km of dry savanna.

1. Trunk Anatomy & Histology

The proboscis of Loxodonta africana is a fused upper lip and nose whose musculature derives embryologically from the facial nerve (CN VII), maxillary branch of the trigeminal (CN V), and specialised somatic motor neurons in a dedicated facial motor nucleus. Longitudinal dissection and MRI by Dehnhardt & colleagues (2006) and histological sectioning by Schulz et al. (2022) have catalogued the fascicular architecture: approximately 40 000 discrete muscle fascicles, each 0.2–1.0 mm in diameter, embedded in perimysial connective tissue and grouped into five functional classes.

  • Longitudinal fibres (M. longitudinalis dorsalis, lateralis, ventralis): running parallel to the trunk axis along the dorsal, lateral, and ventral surfaces. Asymmetric contraction produces bending; symmetric contraction produces shortening.
  • Radial fibres (M. transversalis): perpendicular to axis, passing from the outer sheath to the central lumen. Their contraction decreases cross-section radius and therefore — because the trunk is incompressible — increases length (telescoping).
  • Oblique fibres: crossing the longitudinal axis at\(\sim\!30^\circ\); mediate torsion and counter-rotation.
  • Nasal septum musculature: separates left and right nostrils, preserving airflow symmetry during asymmetric bending.
  • Tip “finger” musculature: the African elephant has two opposable dorsal and ventral processes at the trunk tip; the Asian elephant has a single dorsal “finger.” These provide fine manipulative dexterity, detecting a grain of rice among pebbles.

The total mass of the trunk in a 6 tonne bull is approximately 150 kg, length at rest 2 m and at full extension ~2.7 m. Peak grip force has been measured at 250 kg in working elephants (Shoshani 1998), delivered through a tip-skin contact area of only ~5 cm² for the sensory tip.

Key comparison. The octopus arm, the squid tentacle, and the vertebrate tongue are the other classical muscular hydrostats (Kier & Smith 1985). The elephant trunk is the largest by three orders of magnitude.

2. Muscular-Hydrostat Mechanics

Kier & Smith (1985) laid out the canonical theory. A muscular hydrostat is a body segment whose volume is conserved because its tissues are mostly water (bulk modulus \(K\approx 2.2\) GPa, essentially incompressible compared to the stresses of a few kPa produced by muscle). Under this constraint, every motion is coupled: shortening requires thickening, bending requires differential longitudinal strain across the cross-section, and torsion requires opposing helical contraction.

\[ V = \pi r^2 L = \text{const} \qquad\Rightarrow\qquad \frac{\Delta L}{L} = -\,2\,\frac{\Delta r}{r} \]

Incompressibility fixes a Poisson ratio of 0.5 at the macroscopic scale.

Longitudinal force. If the longitudinal muscles occupy cross-sectional area \(A_L\) and contract at peak stress \(\sigma_c\approx 300\) kPa (skeletal muscle), the pulling force is \(F_L = \sigma_c\,A_L\). With \(A_L\approx 0.015\) m² (about half of the trunk cross-section at its base), this gives \(F_L\approx 4.5\) kN — 460 kg-force, comfortably explaining the observed 250 kg lift.

Bending. Let \(\varepsilon_d\) and \(\varepsilon_v\) be the longitudinal strains on the dorsal and ventral surfaces, separated by trunk diameter \(d=2r\). The local curvature is:

\[ \kappa \;=\; \frac{1}{R} \;=\; \frac{\varepsilon_d - \varepsilon_v}{d} \]

For \(\varepsilon_d - \varepsilon_v = 0.20\) across a 18 cm tip diameter, \(R \approx 90\) cm — a comfortable reach-and-curl radius. Larger strain differentials at the distal 40% of the trunk (where dorsal–ventral muscle thickness is smaller) generate the tight tip curl used to pick up peanuts.

Extension via radial contraction. Squeezing the radial fibres reduces\(r\) by \(\Delta r\); by volume conservation \(\Delta L/L = -2\Delta r/r\). A 10% radial strain produces a 20% axial extension — telescoping to reach into a tree fork or over an electric fence.

Grasp via “pseudo-fingers.” The African trunk tip has a dorsal and ventral prehensile process; the Asian, only a dorsal one. High-speed video (Schulz et al. 2018) shows the elephant forms a “pinch” grip for small objects and a “wrap” grip (shortened and curled trunk) for large objects — two entirely different hydrostat configurations optimised for different size scales.

Trunk cross-section and bend geometry

Trunk cross-section (~18 cm at mid-trunk)Dots = longitudinal fibres; lines = radial fibresDifferential strain -> curvaturedorsal eps_d > 0ventral eps_v < 0R = d/(eps_d - eps_v)Volume conservation + antagonistic strain => smooth bending.

3. Pressure-Driven Breathing & Water Uptake

Unlike other mammals which breathe almost entirely through the ribcage, the elephant recruits the trunk as a pressure-active inspiratory organ. Wilson et al. (2015) measured intranasal airflow in a captive African bull and found peak inhalation velocity of ~150 m/s — about half the speed of sound and 30 times the peak human nasal velocity. Volumetric flow reached 3 L/s with an intrapulmonary pressure drop of only 0.7 kPa.

The ratio of pressure gradient to flow is explained by the trunk lumen cross-section (diameter 6–9 cm gives\(A \approx 30\) cm²) coupled to a low-loss nasal passage. In Reynolds-number terms,\(\mathrm{Re}= \rho v d/\mu \approx 6\times 10^5\) — turbulent but with a very long, smooth conduit that minimises entrance losses.

Water uptake. The elephant does not drink through the trunk. It fills the trunk with water by active inhalation against atmospheric pressure (the nostrils close at the tip), then curls the trunk to the mouth and forcibly expels the water. Each trunkful is 8–9 L (Dagg & Foster 1976), and a dehydrated elephant can fill and empty at a 2–3 s cycle, drinking up to 200 L in 5 min.

\[ \Delta P \;=\; P_\text{atm}\left(1 - \left(\frac{V_0}{V_0+\Delta V}\right)^\gamma\right) \approx \rho g h \]

Suction pressure generated by chest-wall expansion + diaphragm lowers intrapulmonary pressure by\(\sim 5\) kPa, sufficient to lift a 0.5-m-tall water column into the trunk.

4. Olfaction: The Most Sensitive Mammalian Nose

Niimura et al. (2014) sequenced functional olfactory receptor (OR) gene families in 13 mammals. Their counts:

  • African elephant — 1,948 functional OR genes, the largest repertoire of any mammal yet sequenced.
  • Dog — 811
  • Mouse — 1,030
  • Human — 396
  • Chimpanzee — 380
  • Bottlenose dolphin — 10 (largely anosmic)

Olfactory bulb mass scales with OR repertoire as \(M_\text{OB}\propto N_\text{OR}^{0.6}\). The elephant’s olfactory bulb is ~65 g, the largest of any terrestrial mammal in absolute mass. Behavioural experiments (Plotnik et al. 2019, von Dürckheim et al. 2018) have demonstrated discrimination of:

  • Individual humans by odour alone (Shrivastav 2006).
  • Maasai vs Kamba ethnic clothing — a culturally-learned threat cue (Bates et al. 2007).
  • Trace quantities of TNT at parts-per-quadrillion levels; trained elephants outperform dogs in minefield surveys (Miller et al. 2015).
  • Quantity discrimination: elephants reliably chose the larger of two hidden food caches based on odour alone (Plotnik 2019).

The functional consequence in savanna ecology is enormous: matriarchs track the movements of rival elephant groups, lions, and water sources over tens of kilometres of open terrain through trunk-high olfactory sampling.

5. Infrasonic Vocalisation

Elephants produce the longest wavelengths in the terrestrial vertebrate vocal repertoire. Their 7–9 cm-long vocal folds vibrate at fundamental frequencies 14–24 Hz, largely below the human hearing threshold (~20 Hz). Langbauer et al. (1991) and Poole et al. (1988) used playback experiments in Amboseli to catalogue the first 31 distinct rumble types. The 2020 Elephant Voices database now recognises dozens more, including context-specific dialect variants.

Fundamental frequency scales with vocal-fold length as \(f_0 \approx (1/2L_\text{vf})\sqrt{T/\mu}\) for a thin vibrating string, where \(T\) is fold tension and \(\mu\) linear mass density. For the elephant, \(L_\text{vf}\approx 8\) cm gives \(f_0\) around 20 Hz, matched to the source spectrum. Higher harmonics extend up to several hundred Hz, but at steeply reduced amplitude.

The elephant vocal tract has been shown to sustain body-wall vibration: during a loud rumble the thoracic cavity and belly visibly pulse at the fundamental, a consequence of the whole-body acoustic impedance matching at\(\lambda = c/f \approx 17\) m. This long wavelength is crucial for efficient radiation at low frequency.

5.1 Vocal Repertoire

  • Contact rumble — low (~14 Hz) rolling call exchanged between family members out of visual range.
  • Let’s-go rumble — matriarch coordination, triggers group departure within ~30 s (McComb et al. 2003).
  • Greeting ceremony — explosive rumble chorus, urination and temporal-gland secretion on reunion of family units after separation.
  • Estrus call — female-advertisement rumble of ~20 Hz carrier, 60 s duration, repeated every few minutes through oestrous window (~2–4 days).
  • Musth rumble — male-specific, pulsatile and harshly modulated, advertising androgen-driven breeding condition.
  • Mobbing / alarm call — rapid rumble bursts elicited by lion, hyena, or bee presence; 20–50 Hz burst rate encoding predator identity (King et al. 2010).
  • Discipline rumble — low-amplitude rumble used by mothers to correct calf behaviour.

McComb et al. (2001) showed that individual matriarch calls are memorised by family members for over a decade; even 2-year-dead matriarchs’ calls elicit strong approach responses in their former families. Vocal dialects across separated populations (Poole 2011) suggest cultural transmission analogous to humpback-whale song traditions.

6. Why Low Frequency? Atmospheric Absorption Physics

In the Stokes classical + rotational + vibrational relaxation framework (Sutherland & Bass 2004), the atmospheric sound absorption coefficient\(\alpha(f)\) has three contributions:

\[ \alpha(f) \;=\; \underbrace{\frac{2\pi^2 f^2}{\rho c^3}\left(\tfrac{4}{3}\mu + \zeta + \tfrac{\kappa (\gamma-1)}{c_p}\right)}_{\text{classical}} \;+\; \alpha_\text{N_2}(f) \;+\; \alpha_\text{O_2}(f) \]

All three grow as \(\propto f^2\) in the low-frequency limit.

The molecular relaxation terms are resonances: nitrogen and oxygen have vibrational modes at\(\omega_\text{N_2}/2\pi \approx 100\) Hz and \(\omega_\text{O_2}/2\pi \approx 25\) kHz (humidity-dependent). At the 20 Hz elephant-rumble frequency, atmospheric absorption is only\(\alpha\approx 10^{-5}\) dB/m — meaning over a 10 km path the signal loses just 0.1 dB to absorption, vs. > 60 dB for a 2 kHz signal.

6.1 Temperature-Inversion Ducting

Dawn and dusk savanna conditions produce a shallow (~100 m) ground-based thermal inversion. Because sound speed\(c = \sqrt{\gamma R T/M}\) increases with temperature, upward-propagating rays refract back down; the duct acts as a 2D waveguide that converts the normally spherical \(1/r^2\) intensity loss into a cylindrical \(1/r\) loss. Garstang (2004) estimated effective elephant communication range at dawn extends to 10–20 km due to this inversion.

7. Seismic Communication: Rayleigh Waves Through Earth

O’Connell-Rodwell et al. (2000, 2006, 2007) established that elephant rumbles couple efficiently into the ground, producing Rayleigh surface waves that propagate much farther than the airborne signal. Geophone arrays in Etosha (Namibia) and Mpala (Kenya) recorded 20–30 Hz surface waves from known herd locations up to 16 km away — well beyond the airborne range in the same conditions.

7.1 Rayleigh-Wave Physics

Solving the Navier–Cauchy equation \(\rho\ddot{\mathbf u} = (\lambda+\mu)\nabla(\nabla\!\cdot\mathbf u) + \mu\nabla^2\mathbf u\)in an elastic half-space with traction-free boundary yields a surface wave with mixed retrograde-elliptical particle motion, whose phase speed \(v_R\) satisfies the Rayleigh characteristic equation. For Poisson solids (\(\nu=0.25\)):

\[ v_R \;\approx\; 0.9194\, v_S \qquad\text{with}\qquad v_S = \sqrt{\mu/\rho} \]

In dry savanna soil (\(\mu\approx 40\) MPa,\(\rho\approx 1800\) kg/m³) we get \(v_S\approx 150\) m/s and \(v_R\approx 140\) m/s.

Key propagation advantage: Rayleigh-wave amplitude decays as \(1/\sqrt{r}\)— cylindrical spreading confined to the surface — compared to airborne \(1/r\) spherical spreading. Over 10 km, that is a 10 dB advantage from geometry alone, on top of the already-tiny seismic absorption\(\alpha_R = \pi f/(Q v_R)\) with soil quality factor \(Q\approx 30\text{--}100\).

7.2 Seismic Detection: Pacinian & Lamellar Corpuscles

Bouley et al. (2007) and O’Connell-Rodwell (2007) dissected elephant foot pads and toes, finding dense populations of Pacinian corpuscles (rapid-adapting, 10–500 Hz band-pass mechanoreceptors) and Meissner / lamellar corpuscles (slowly adapting, \(\lesssim 50\) Hz). The cushions of adipose tissue and collagen impedance-match substrate vibrations into the toe bones, which vertebrate the vibrations up the foreleg; trained elephants freeze, orient, and press their forefeet flat upon ground-coupled playbacks of alarm rumbles, demonstrating the behavioural relevance. Bone-conducted pathways to the malleus have also been proposed (Reuter et al. 1998).

Behavioural-threshold experiments show elephants respond to 20–30 Hz ground vibrations at ground-particle velocities of ~1 μm/s, equivalent to a 0 dB threshold at that scale — a remarkably sensitive mechanical receptor.

Airborne vs seismic propagation ranges (20 Hz)

ground surfaceSource (20 Hz, 110 dB)Airborne: 1/r spherical spreadingrange ~ 4-6 km (no inversion)Seismic Rayleigh: 1/sqrt(r) cylindricalrange > 15 km, detected via foot-pad Pacinian corpusclesReceiver ~16 km awaySeismic advantage = geometric (1/sqrt(r) vs 1/r) + low-Q soil attenuation

8. Quantitative Ducting: Why Dusk Tripled Communication Range

We derive the ducting gain quantitatively. The refraction gradient is\(\partial c/\partial z\) where \(c(z) = \sqrt{\gamma R T(z)/M_\text{air}}\approx 20.05\sqrt{T(z)}\) m/s. Under a 5 K ground-based inversion spanning 80 m, \(dc/dz\approx +0.04\) s^(-1). A ray launched at angle \(\alpha\) above horizontal turns back down at a ceiling\(z_\text{top}\approx \alpha^2 c_0/(2\,dc/dz)\). For \(\alpha = 5^\circ\) this gives\(z_\text{top}\approx 50\) m, comfortably inside the inversion layer.

Rays trapped inside the duct experience cylindrical rather than spherical spreading, transforming the intensity law from \(I\propto 1/r^2\) to \(I\propto 1/r\). Over 10 km, this converts a 40 dB spreading loss into a 20 dB loss — a 20 dB (factor 100) gain in intensity. Larom et al. (1997) measured effective elephant communication range at Etosha as 2–4 km at midday (turbulent atmospheric boundary layer, strong scattering), rising to 10–15 km at sunset and dawn. Elephants routinely initiate long-distance rumbles at these time-windows, showing acoustic sophistication matching their atmospheric physics.

Wind shear effect. A light evening wind gradient\(du/dz\approx 0.1\) s^(-1) over the same 80 m layer tilts the ducting geometry: downwind propagation is trapped more efficiently than upwind. Elephants at Amboseli have been observed to orient their bodies when producing long-contact rumbles, maximising downwind projection.

9. Cognition, Culture & Dialect

Combining olfactory, infrasonic, and seismic modalities, the elephant operates a distributed communication network whose ecological footprint rivals a human village. McComb et al. (2001) showed experimentally that Amboseli matriarchs can distinguish at least 100 individual voices from family and extended-bond group members, stored in memory for years.

Kenyan vs Amboseli populations show consistent acoustic differences in contact-rumble contours — a population-level vocal dialect (Poole 2011). Young bulls dispersing from matriarchal groups rapidly learn the dialect of their new bond-group, suggesting a vocal-learning capacity comparable to cetaceans and songbirds. The Kenya-to-Uganda savanna corridor therefore functions as a cultural corridor; fragmentation by human infrastructure causes linguistic as well as genetic isolation.

King et al. (2010) discovered that elephants produce and respond to a specific “bee-alarm” rumble distinct from the lion-alarm rumble, showing predator-specific semantic content. Later work (Stoeger et al. 2012) reported cross-species mimicry — an Asian elephant (“Koshik”) imitated six Korean words using trunk-placement-modulated vocal-fold vibration, a literal biomechanical hack of the muscular hydrostat.

10. Worked Examples

Example 1: Airborne range of a 20 Hz, 110 dB rumble at midday.With no ducting and atmospheric absorption \(\alpha\approx 10^{-5}\) dB/m at 20 Hz, the 0 dB detection threshold is reached when \(110 = 20\log_{10}(r) + \alpha r\). Solving numerically:\(r\approx 3.2\) km (spreading-limited, absorption negligible). Under a dusk inversion, spreading becomes cylindrical \(10\log_{10}(r)\) and range extends to \(\approx 10\) km. The observed 7–10 km dusk range at Amboseli is consistent.

Example 2: Seismic detection of the same rumble. With source level 80 dB re 1 μm/s at 1 m, soil \(Q=40\), \(v_R=220\) m/s, the Rayleigh absorption at 20 Hz is\(\alpha_R\approx 0.0071\) Np/m or 0.062 dB/m. The 0 dB detection is reached when\(80 = 10\log_{10}(r) + 0.062\,r\). Solving: \(r\approx 16\) km, beating airborne by more than 5× even in the best ducting scenario. This is the regime O’Connell-Rodwell confirmed.

Example 3: Trunk grip force. With \(A_L = 0.015\) m² of longitudinal muscle at peak stress \(\sigma_c=300\) kPa, the tip pulling force is\(F = \sigma_c A_L \approx 4.5\) kN or \(\approx 460\) kg-force. Observed tandem-pull in working elephants (two elephants lifting a 500 kg log with one trunk each) matches.

Example 4: Water-column lifting pressure. Rising a 1 m column of water into the trunk requires \(\Delta P = \rho g h = 1000\cdot 9.81\cdot 1 = 9.8\) kPa. Intrapulmonary pressure reductions during forced inhalation reach 5–7 kPa (Wilson 2015); the remaining lift is supplied by active trunk straightening, converting muscle work into hydrostatic head.

Example 5: Olfactory information capacity. With 1948 OR genes, each capable of distinguishing roughly 10 concentration levels in combinatorial coding, the maximum discriminable odorant space is\(10^{1948}\) in theory — of course limited by biological noise and neural capacity, but orders of magnitude beyond the human \(10^{396}\). In practice, elephants reliably discriminate dozens of plant species by odour alone and track conspecific-urine trails for up to 48 h after deposition.

11. Spectrogram Signatures of Rumble Types

Poole and colleagues at ElephantVoices have released open-access spectrograms for each catalogued rumble type. A simplified schematic is shown below, contrasting the tonal, steady-state contact rumble against the pulsatile, amplitude-modulated musth rumble and the high-harmonic, rapidly swept estrus rumble. The common carrier band (14–35 Hz) is always infrasonic, but rumble types differ in modulation patterns that encode social semantics.

Three elephant rumble archetypes (schematic spectrograms)

Contact rumble (14 Hz tonal)250 Hz10014 Hztime ->Musth rumble (pulsatile)250 Hz10014 Hztime ->Estrus rumble (sweeping)250 Hz10014 Hztime ->Tonal vs amplitude-modulated vs frequency-swept: encoding social context in infrasonic calls

Machine-learning classification of rumble types (Pardo et al. 2024) now achieves >85% accuracy across the eight canonical types, using log-mel spectrogram features and convolutional networks. In a striking result, that same team showed elephants respond preferentially to playbacks containing their own name-calls (“address rumbles”), the first evidence of individualised vocal labels in a non-human mammal.

12. Biomedical & Conservation Implications

The engineering lessons learned from elephant trunks have spilled into soft robotics. Festo’s BionicTrunk (2010, 2022) and several recent academic prototypes (Trivedi 2008, Hannan & Walker 2003) replicate the three fundamental hydrostat motions — longitudinal, radial, oblique — with pneumatic bellows and braided sleeves. Applications range from surgical continuum robots to inspection tools for nuclear reactors. None yet achieve the elephant’s 150:1 strength-to-weight ratio at the tip.

Conservation biophysics ties directly to this module’s physics. Habitat fragmentation by roads, railways, and fences cuts infrasonic and seismic communication corridors. O’Connell-Rodwell (2019) and Garstang (2015) have argued that the traffic rumble of a major road (70 dB broadband at 10–30 Hz) can mask elephant rumbles for kilometres beyond the road itself, creating an acoustic Berlin Wall that physically prevents dispersing adolescent bulls from finding mates — a biophysics-mediated reproductive bottleneck invisible to conventional fauna-crossing studies.

Seismic masking by heavy-vehicle traffic is even more insidious. Road vibration at 10–50 Hz couples efficiently into Rayleigh waves that propagate kilometres into adjacent savanna. Mitigation strategies include (i) rumble strips at crossing points tuned to frequencies above 100 Hz, (ii) burying geophone-blocking trenches along protected-area boundaries, and (iii) timing traffic to avoid dusk-dawn windows of high inversion-ducted elephant calling activity. The interdisciplinary reach — from atmospheric physics to neuroethology to road engineering — makes elephant acoustics a paradigm case for applied biophysics.

Ivory-poaching crises have compounded these problems: the selective removal of tuskers (large males) also removes the individuals with the deepest and loudest rumbles. Culled populations show reduced recruitment efficiency; the loss is not just genetic but acoustic.

13. Problem Set

  1. Curvature of a trunk reach. An elephant wants to pick up a peanut 50 cm below the base of its trunk. Assuming uniform curvature over the distal 1 m of trunk (diameter 12 cm), what dorsal–ventral strain differential is needed? If each 5 mm fascicle can sustain 30% contraction, how many fascicle layers must participate?
  2. Water lift. Derive the minimum intrapulmonary pressure drop required to draw 8 L of water into a 2 m trunk whose tip is at the water surface. Compare with the measured 5–7 kPa maximum.
  3. Vocal fold fundamental. Model the elephant vocal fold as a tense string of length 8 cm, linear density 0.3 kg/m, tension 300 N. Compute the fundamental frequency and compare with the observed 14–24 Hz rumble band. What tension would yield a 50 Hz call?
  4. Atmospheric absorption. At 20 Hz and 30 °C dry air, Sutherland 2004 predicts \(\alpha\approx 10^{-5}\) dB/m; at 2 kHz, \(\alpha\approx 0.006\) dB/m. Over 10 km, compute the absorption loss (in dB) at each frequency. How much of the 600x advantage of infrasound is absorption vs geometric spreading?
  5. Rayleigh vs air detection. For a source SPL of 110 dB at 1 m and a ground-vibration source of 80 dB re 1 μm/s, at what range does the seismic channel surpass the airborne channel in effective SNR? Use \(v_R=220\) m/s, soil \(Q=40\).
  6. Ducted range gain. An elephant rumble at dusk is ducted in an 80 m inversion layer. Assume cylindrical spreading within the duct; compute the dB gain over an unducted spherical path at 5 km, 10 km, and 20 km.
  7. Trunk tip force. If tip-area of the African two-finger process is 5 cm² and muscle stress is 300 kPa, compute the pinch force at the tip. How does this compare to a human thumb–finger grip of 60 N?

Simulation: Muscular-Hydrostat Trunk Bending

The trunk is discretised into 120 segments with dorsal/ventral longitudinal strains and a volume-conservation constraint. Three reach modes — gentle downward curl, tight distal curl, and telescoping extension — are animated by integrating the Frenet frame along the arc length. The simulation reproduces the observed tip-reach envelope of a mature African bull.

Python
script.py105 lines

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Simulation: Infrasound & Seismic Propagation

Range calculator for a 20 Hz, 110 dB SPL elephant rumble. Sutherland 2004 atmospheric absorption (classical + N₂ & O₂ relaxation) is combined with spherical or inversion-ducted spreading for the airborne channel; Rayleigh-wave cylindrical spreading and soil Q-factor attenuation for the seismic channel. The cross-over: seismic wins past ~8 km.

Python
script.py140 lines

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Code will be executed with Python 3 on the server

Key References

• Kier, W.M., Smith, K.K. (1985). “Tongues, tentacles and trunks: the biomechanics of movement in muscular-hydrostats.” Zool. J. Linn. Soc., 83, 307–324.

• Dehnhardt, G. et al. (2006). “Structure and function of the trunk of the African elephant.” Anat. Histol. Embryol., 35, 281–295.

• Shoshani, J. (1998). “Understanding proboscidean evolution: a formidable task.” Trends Ecol. Evol., 13, 480–487.

• Schulz, A.K. et al. (2018, 2022). Trunk high-speed video and fascicular histology analyses. Proc. Natl. Acad. Sci., 119, e2122563119.

• Wilson, J.F. et al. (2015). “The trunk of the elephant: airflow, pressure and the world’s fastest sniff.” J. R. Soc. Interface.

• Dagg, A.I., Foster, J.B. (1976). The Giraffe: Its Biology, Behavior and Ecology. Includes comparative trunk-cycle observations.

• Niimura, Y. et al. (2014). “Extreme expansion of the olfactory receptor gene repertoire in African elephants.” Genome Res., 24, 1485–1496.

• Plotnik, J.M. et al. (2019). “Elephants have a nose for quantity.” PNAS, 116, 12566–12571.

• von Dürckheim, K.E.M. et al. (2018). “African elephants can detect TNT by smell.” Animal Cognition, 21, 381–391.

• Bates, L.A. et al. (2007). “Elephants classify human ethnic groups by odor and garment color.” Curr. Biol., 17, 1938–1942.

• Poole, J.H. (1987). “Rutting behavior in African elephants: the phenomenon of musth.” Behaviour, 102, 283–316.

• Poole, J.H., Granli, P. (2011). ElephantVoices online acoustic catalogue. PLoS ONE.

• Langbauer, W.R. et al. (1991). “African elephants respond to distant playbacks of low-frequency conspecific calls.” J. Exp. Biol., 157, 35–46.

• McComb, K. et al. (2001). “Matriarchs as repositories of social knowledge in African elephants.” Science, 292, 491–494.

• McComb, K. et al. (2003). “Long-distance communication of acoustic cues to social identity in African elephants.” Anim. Behav., 65, 317–329.

• Sutherland, L.C., Bass, H.E. (2004). “Atmospheric absorption in the atmosphere up to 160 km.” J. Acoust. Soc. Am., 115, 1012–1032.

• Garstang, M. (2004). “Long-distance, low-frequency elephant communication.” J. Comp. Physiol. A, 190, 791–805.

• O’Connell-Rodwell, C.E. et al. (2000, 2006, 2007). Series on seismic detection and Rayleigh-wave communication in elephants. BioScience, Behav. Ecol. Sociobiol.

• Bouley, D.M. et al. (2007). “The distribution, density, and three-dimensional histomorphology of Pacinian corpuscles in the foot of the Asian elephant.” J. Anat., 211, 428–435.

• King, L.E. et al. (2010). “African elephants run from the sound of disturbed bees.” Curr. Biol., 20, R832–R833.

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

• Miller, S.G. et al. (2015). “African elephants as detectors of land mines.” Field reports; see also Shoshani & Barnes compilations.