Implications of sensory ecology for species coexistence: biased perception links predator diversity to prey size distribution
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Inherent to sensory systems is a discrepancy between the perceived and the actual environment. We modelled prey perception in different species of echolocating bats and show that differences in sensory systems can be important for shaping the niches of animals and for structuring animal communities. We argue that sensory specialization can lower interspecific competition by making the same world appear different. We specifically raise the claim that it is important to consider the interaction of sensory bias and the distribution of (prey) resource size. Using a modeling approach we assessed the potential contribution of sensory bias for species coexistence for the example of bat echolocation. We show that even relatively small sensory differences among coexisting species can translate into significant differences in access to food resources, if prey size distribution is skewed towards small prey. Specifically, for the prey size distribution occurring most frequently in nature, differences in sensory access to resources seem large enough to relax competition and facilitate species coexistence. Interaction between sensory bias and prey size distribution in a way that enhances species coexistence may be a general phenomenon not limited to bat echolocation.
KeywordsSensory bias Echolocation Neuroecology Sensor filtering Niche segregation Predator-prey interaction
Morphological distinctiveness and related ecological divergence represents one of the fundamentals in evolutionary theory; the most famous example being the beaks of the Darwin’s finches (Schluter 2000). Here, we want to advocate the idea that differences in the neural and sensory system are equally important in shaping the niches of animals and structuring communities. We argue that even relatively small sensory differences among coexisting species can translate into significant differences in access to food resources, if, as typically found in nature (White et al. 2007), food size distribution is skewed. While sensory adaptations are often less conspicuous to researchers than morphological adaptations, a series of studies outline their importance for defining a species’ niche (Shlaer 1972; Bernays and Wcislo 1994; Catania and Henry 2006; Dekker et al. 2006; Greiner et al. 2007). Sensory and neural adaptations increase efficiency in signal reception and transmission, but at the same time result in sensory bias on the perception of the environment (Endler 1992; Ryan and Keddy-Hector 1992; Fuller et al. 2005). Sensory bias can play a role in determining a species’ diet (Barclay and Brigham 1991; Faure and Barclay 1992; Caine and Mundy 2000; Siemers and Güttinger 2006; Raine and Chittka 2007) by altering the sensory access to food and thus constitutes a mechanism that reduces interspecific competition and facilitates coexistence (Dominy and Lucas 2001; Siemers and Schnitzler 2004; Hong and Sommer 2006). Recent work has started to explore the consequences of within and between species variability in sensory performance of foraging animals for their fitness under natural conditions (Siemers and Swift 2006; Melin et al. 2007; Vogel et al. 2007).
The evolution of echolocation call frequencies is very likely a consequence of a multitude of processes, including (negative) allometric scaling of call frequency with body size (Jones 1999), phylogenetic inertia (Jones and Teeling 2006), the acoustic arms race between bats and tympanate noctuids (allotonic frequency hypothesis: Pavey and Burwell 1998; Schoeman and Jacobs 2003) and the social communication aspect of echolocation calls (Heller and von Helversen 1989; Jacobs et al. 2007). Kingston and Rossiter (2004) have provided a very interesting piece of evidence for adaptive speciation in bats by disruptive selection on call frequencies through assortative mating and perception-mediated resource partitioning. This non-withstanding, it is still unclear whether competition for food resources is crucial within bat communities (note that new techniques such as DNA barcoding from faeces for detailed diet analyses promise possible answers in the near future; Clare et al. 2009) and does drive divergence of call frequencies. We thus do not focus on the causes of call frequency differences, but rather on their evolutionary and ecological consequences.
We estimated the perceived availability of prey for 30 hypothetical bat species as a function of their echolocation call frequency under different situations of prey abundance. The bat species in our model used constant frequency calls ranging from 5 to 150 kHz where each species differed from the next by a 5 kHz step.
Our model corroborated the assumption that differences in call frequencies bias prey perception for echolocating bats (Fig. 2a, all prey types equally abundant). With increasing call frequency, small prey became more perceivable and large prey relatively less perceivable. The energy reflected off small echo targets increased due to shorter wave-length and thus the perceptibility for small prey increased. At the same time increasing frequencies suffered from higher atmospheric attenuation and thus the ability to detect prey at large distances decreased. The trade-off between frequency dependence of target strength (RAY) and atmospheric attenuation (TLA) resulted in perceptibility differences where bats calling at high frequencies detected small but close prey better than low-frequency-echolocating bats. The latter will perceive a prey spectrum that is sensorially skewed towards larger, distant prey (compare Barclay and Brigham 1991; Kingston and Rossiter 2004). However, the differences in perceptibility were small under the equal distribution scenario, especially for frequencies above 35 kHz (Fig. 2a).
As an outcome of our central research question, we found sensory bias to interact strongly with prey size distribution (Fig. 2b–e). The bats’ sensory differences translated into substantial increase in perceived prey availability if abundance was skewed towards small prey (Fig. 2b, c). By contrast, the perceptibility differences nearly vanished if prey distribution was skewed towards large prey (Fig. 2d, e). The model further showed that with increasing frequency the differences in perceptibility between similar echolocation frequencies became smaller. Thus, even high overabundance of small prey at some stage did not result in relevant differences in perceived prey availability. For natural prey size distribution (Fig. 2b), inter-frequency structuring of perceptibility was largest in the frequency range that most aerial hawking bats use for echolocation (10 kHz up to 60 kHz, red and orange lines in Fig. 2b; (Schnitzler and Kalko 2001). Compare Fig. 1 for an example of the frequency bands used by the European community of aerial hawking bats.
Our model suggests that the interaction of sensory bias and prey size distribution can result in a reduction of interspecific competition and therefore play an important role in niche differentiation. Prey size distributions skewed towards small prey strongly amplified the call frequency dependent differences in prey detectability. They enlarged the “exclusive perception space” for the modeled bat species. The model suggests that the divergence of echolocation frequencies (Heller and von Helversen 1989; Jones and Teeling 2006) and thus the unparalleled adaptive radiation of bats might not have been such a success story, if there had not been more small insects than large ones. We reiterate that it is unclear whether competition for resources drove divergence of call frequencies. However, our data substantiate that the use of different echolocation frequencies can lead to differential perception of the same environment, whatever the underlying ultimate processes might be. For example, as a consequence of negative allometric scaling of call frequency with body size it is the large bats that call low (Jones 1999) and our model suggests in line with Barclay and Brigham (1991) that thereby they detect large and distant prey better. This is in support of our claim that differences in the neural and sensory system are important in shaping animals’ niches and structuring communities.
Currently there is only little empirical evidence for the effects of sensory bias on coexistence of predatory species. However, our model generates a series of predictions for empirical testing, once suitable data sets become available.
First, the interaction between sensory bias and prey size distribution should influence predator diversity, given that interspecific competition for food is a limiting factor. Specifically, we would expect the diversity of aerial insectivorous bats in a given region to increase with the skew of prey size distribution towards small prey. If large prey completely drop out of the local prey spectrum, then we would expect large bats to vanish and thus diversity to decrease again.
Second, we would expect that with increasing skew towards small prey, the bandwidths of call frequencies used in the respective community will spread out and specifically tend to include higher frequencies. In order to test this prediction in spatially explicit comparative studies, we will need to sample detailed information about echolocation frequencies and prey size distribution for different bat communities.
Third and in connection with the previous point, we see that sensory differences and “exclusive perceptual space” become smaller with increasing frequency. Thus, we would expect frequency spacing between coexisting species to increase with frequency. The observed echolocation frequencies used by the European open space aerial insectivorous bats nicely fit into this pattern (Fig. 1). Even overabundant small prey may not be sufficient to reduce competition between predators and compensate for the decrease in detection distance at high frequencies; i.e., there is an upper frequency limit for useful echolocation calls in aerial insectivores.
Forth, as a very speculative prediction, one might expect that bats adapt their echolocation call frequencies (within the phylogenetic and physiological limits of the species) to the local prey size distribution also at an individual level. By using different echolocation frequencies, individuals could focus their sensory channels away from each other and thus increase individual foraging efficiency. At the species level this might amount to substantial call frequency variance.
Our fifth prediction is that bat species are passively specialized on prey size by sensory bias (but see Houston et al. 2003). Such a specialization could represent an important selective pressure on insect body size evolution given the abundance and diversity of bats in many ecosystems and the huge amounts of prey that they consume (Kalka et al. 2008).
Finally, we want to emphasize that the effect of sensory bias on resource access is of course not limited to the acoustic world of echolocating bats. Differences in sensory performance within communities are probably very common throughout most sensory systems and animal taxa (Bernays and Wcislo 1994). Examples include eye size that matches the timing of foraging-bouts in ants (Greiner et al. 2007), sensitivity to scent profiles of host beetles in closely related necromenic nematodes (Hong and Sommer 2006), olfactory shifts associated with food shifts in Drosophila (Dekker et al. 2006), variation in color vision in primate communities (Dominy and Lucas 2001) and even within single primate species (Vogel et al. 2007). In weakly electric fish, electrosensory space for prey detection closely matches a species’ motor volume (Snyder et al. 2007). Information on the underpinnings of these sensory differences is beginning to emerge at the level of genetics (Hong et al. 2008), neurotransmitter expression (Park et al. 2008) and receptor structure (Greiner et al. 2007). In the light of our findings on bat echolocation, it will be interesting to investigate how these other sensory systems may be biased, and thus may interact with different resource distribution characteristics.
Sensory variation within animal communities and species assemblages may seem minute and not as obvious as morphological differences, such as those of the beaks of the Darwin’s finches. This not withstanding, we conclude from the examples we have discussed and from our model results that sensory differences do have the potential to mediate the coexistence of species given the appropriate underlying environmental conditions. We believe that sensory ecology is essential for our understanding of evolution and speciation and hope that this study will help to stimulate debate and research in this direction.
We are grateful to C. Carbone, K. E. Jones, R. Page and three anonymous referees for invaluable comments and discussions on earlier versions of our manuscript. This study was supported by the Max Planck Society. KS was supported by the SNSF grant PBZHA-118824.
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- Crocker MJ (1998) Handbook of Acoustics. Wiley-Interscience, New YorkGoogle Scholar
- Estók P, Siemers BM (2009) Calls of a bird-eater: the echolocation behaviour of the enigmatic greater noctule Nyctalus lasiopterus. Acta Chiropterologica 11(2) (in press)Google Scholar
- Findley JS (1993) Bats: a community perspective. Cambridge University Press, CambridgeGoogle Scholar
- Heller KG, von Helversen O (1989) Resource partitioning of sonar frequency bands in rhinolophoid bats. Oecologia 80:178–186Google Scholar
- Houston RD, Boonman A, Jones G (2003) Do echolocation signal parameters restrict bats choice of prey? In: Thomas JA, Moss CF, Vater M (eds) Echolocation in bats and dolphins. University of Chicago Press, Chicago, pp 339–345Google Scholar
- Mohl B (1988) Target detection by echolocating bats. In: Nachtigall PE, Moore PWB (eds) Animal sonar: processes and performance. Plenum Press, New York, pp 435–450Google Scholar
- Schluter D (2000) The ecology of adaptive radiation. Oxford University Press, OxfordGoogle Scholar
- Simmons NB (2005) Order chiroptera. In: Wilson DE, Reeder DM (eds) Mammal species of the world: a taxonomic and geographic reference. John Hopkins Univ Press, Baltimore, pp 312–529Google Scholar
- Stilz P (2004) Akustische Untersuchungen zur Echoortung bei Fledermäusen. Fakultät für Biologie. Universität Tübingen, TübingenGoogle Scholar