Echolocation calls of Rhinolophus ferrumequinum in relation to habitat type and environmental factors

Xu, Zhu; Wang, Jing; Sun, Keping; Jiang, Tinglei; Jiang, Ying; Jiang, Feng

doi:10.1016/s1872-2032(09)60007-x

Cited by 22 publications

(19 citation statements)

References 44 publications

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“…As we did not find any difference in call parameters estimated (resting frequency, pulse duration, amplitude), for this work we recorded calls in .mp3 format to reduce file size for storage (Brigham et al, 2004), which was necessary in remote field conditions. Recorded .mp3 data files were converted to .wav format in GOLDWAVE software (Xu et al, 2008). We measured the Resting Frequency (RF) as the CF-component of FM-CF-FM calls of stationary Rhinolophus bats from the power spectrum in sonograms (Stoffberg et al, 2012).…”

Section: Sampling and Analyses Of Resting Frequencies Of Rhinolophus mentioning

confidence: 99%

“…But cryptic speciation through acoustic differentiation is widespread in horseshoe and leaf-nosed bats (Chiroptera: Rhinolophidae, Hipposideridae), as seen across tropical and subtropical regions in South Africa, Asia, China, southern Europe, and Australasia (e.g. Chen et al, 2009;Guillen et al, 2000;Jiang et al, 2013Jiang et al, , 2010aOdendaal et al, 2014;Srinivasulu et al, 2019;Sun et al, 2013;Xu et al, 2008). Jones (1997), Jones and Teeling (2006), emphasized the relative importance of ecological processes in shaping acoustic divergence, i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Among the numerous studies reporting environmentally driven variation in acoustic frequency, atmospheric humidity has received the most attention (Chen et al 2009;Flanders et al 2011;Guillen et al, 2000;Jiang et al 2013Jiang et al , 2010aJiang et al , 2010bSun et al 2013;Xu et al 2008). As per the sensory drive framework (that includes the acoustic adaptation hypothesis: Sun et al, 2013;Wilkins et al, 2013), greater atmospheric humidity is thought to alter Rhinolophus bat frequencies , as it can directly affect signal transmission, sound absorption, and echo reception (Goerlitz, 2018;Snell-Rood, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Environmental influences on acoustic divergence inRhinolophusbats of the Western Ghats-Sri Lanka region

Deshpande

Kelkar

2019

Preprint

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According to the acoustic adaptation hypothesis, environmental and biogeographic factors such as atmospheric humidity can influence divergence of acoustic signals and speciation in high duty-cycle echolocating bats (e.g. Rhinolophus sp.), although this remains disputed. In this study we tested the hypothesis that Resting Frequency (RF) would decrease with increasing humidity along a large latitudinal gradient (6°-21° N), for four Rhinolophus species with different evolutionary histories, in the Western Ghats-Sri Lanka (WGSL) region.We conducted acoustic recordings and compiled published information on RFs of stationary Rhinolophus indorouxi, R. rouxi, R. beddomei, and R. lepidus from 40 roosts in 18 localities of the WGSL. These data comprised of recordings made with different devices and with different settings. Hence, due to the unknown measurement error involved in the recorded RFs, it was not possible to conduct conventional regression analyses to test our hypotheses.Hence, we qualitatively assessed effects of Relative Humidity (RH) and other environmental variables by interpreting only the sign, but not the magnitude of the RF responses (from the slopes of generalized least squares regression models). We also tested how RF and RH varied across biogeographic zones, and with bat body size. RFs of the Miocene-diverged species R.indorouxi and R. rouxi were higher at lower RH, as expected. In contrast, RF of the Pleistocene-diverged species R. beddomei and R. lepidus were higher at higher RH. Elevation and rainfall also emerged as important predictors of RF variation in these species. Bat body 2 size differed in dry and humid regions of the WGSL. RF variation was not consistent across biogeographic zones. The cryptic, phonically differentiated sibling species R. indorouxi and R. rouxi co-occurred only in mid-elevation zones along the Western Ghats escarpment. The variable but significant influences of humidity and correlated factors on RF suggest the importance of environmentally mediated acoustic divergence in different Rhinolophus species in the WGSL. We propose some hypotheses on interacting effects of environmental and phylogenetic factors on acoustic divergence in Rhinolophus bats of the WGSL. These ideas could be further tested with phylogenetic and acoustic studies, as more consistent and comparable data on these species become available in the future.

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Section: Sampling and Analyses Of Resting Frequencies Of Rhinolophus mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Environmental influences on acoustic divergence inRhinolophusbats of the Western Ghats-Sri Lanka region

Deshpande

Kelkar

2019

Preprint

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“…With combination of geoscience knowledge, expert knowledge system and other sciences like GIS, the precision of land use and coverage classification can be greatly improved compared with supervision classification [13,14,15].…”

Section: Development Of Rs and Its Application In Land Fieldmentioning

confidence: 99%

Application of Information Technology in Land field

Jia¹

2017

Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)

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“…Bats are highly mobile animals that can move in three dimensions by virtue of their powered-flight abilities. Although the highest flight speeds in bats have been found in the open-air space (McCracken et al 2016), even species that are known to pursue their prey in dense vegetation (Xu et al 2008) are capable of flight speeds (Aldridge 1986) that together with the proximity of the obstacles can be expected to demand very fast flight control. Any control system capable of delivering this fast, accurate performance will in turn require an input stream of fast-paced and accurate sensory information.…”

Section: Introductionmentioning

confidence: 99%

Quantitative approaches to sensory information encoding by bat noseleaves and pinnae

Müller

2018

Can. J. Zool.

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The biosonar systems of horseshoe bats (Rhinolophidae) and Old World round leaf-nosed bats (Hipposideridae) incorporate a pervasive dynamic at the interfaces for ultrasound emission (noseleaves) and reception (pinnae). Changes in the shapes of these structures alter the acoustic characteristics of the biosonar system and could hence influence the encoding of sensory information. The focus of the present work is on approaches that can be used to investigate the hypothesis that the interface dynamic effects sensory information encoding. Mutual information can be used as a metric to quantify the extent to which the different ultrasonic emission and reception characteristics (beampatterns) provide independent views of the environment. Two different quantitative approaches have been taken to evaluate the relationship between dynamically encoded additional sensory information and sensing performance in finding the direction of a biosonar target. The first approach is to determine an upper bound on the number of different directions that can be distinguished by virtue of distinct spectral signatures. The second approach is based on a lower bound (Cramér–Rao) on the variance of direction estimates. All these different metrics demonstrate that the peripheral dynamics seen in bats result in the encoding of additional sensory information that is suitable for enhancing biosonar performance.

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Echolocation calls of Rhinolophus ferrumequinum in relation to habitat type and environmental factors

Cited by 22 publications

References 44 publications

Environmental influences on acoustic divergence inRhinolophusbats of the Western Ghats-Sri Lanka region

Environmental influences on acoustic divergence inRhinolophusbats of the Western Ghats-Sri Lanka region

Application of Information Technology in Land field

Quantitative approaches to sensory information encoding by bat noseleaves and pinnae

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