Acoustic communication, used by a wide variety of animals, consists of the signaler, the signal and the receiver. A change in the behaviour of the receiver after reception of the signal is a prerequisite for communication. A response to the signal by the receiver depends on signal recognition and localization of the signal source. These two aspects, namely recognition and localization by the receiver, form the main body of my work. In the mating system of crickets, the males produce advertisement calls to attract silent females to mate. Females need to recognize the conspecific call and localize the male. The tree cricket Oecanthus henryi, due to aspects of its physiology and the environment it inhabits, generates interesting problems concerning these seemingly simple tasks of recognition and localization. In crickets, usually a species-specific sender-receiver match for the call features exists, which aids in recognition. A change in the call carrier frequency with temperature, due to poikilothermy, as seen in O. henryi, may pose a problem for this sender-receiver match. To circumvent this, either the response should shift concomitantly with the change in the feature (narrow tuning) or the response should encompass the entire variation of the feature (broad tuning). I explored the response of O. henryi females to the changing nature of call carrier frequency with temperature. The results showed that O. henryi females are broadly tuned to call carrier frequency. Being broadly tuned I next wanted to explore if within the natural variation in carrier frequency, the females were able to discriminate between frequencies. Females were found not to discriminate between frequencies. Cricket ears being pressure difference receivers are inherently directional, however their directionality is dependent on frequency, which may be affected by the change in carrier frequency due to temperature. Thus I also tested the effect of frequency on the azimuthal localization accuracy. The azimuthal accuracy was not affected by call carrier frequency within the natural range of frequency variability of the species. In south India, O. henryi is found in sympatry with Oecanthus indicus. Reproductive isolation between the two is maintained through calls. Since O. henryi is broadly tuned to frequency, call carrier frequency is unlikely to enable differentiation between conspecific and heterospecific calls. I thus tested whether the temporal features can account for the same. I constructed a quantitative multivariate model of response space of O. henryi incorporating results from various playback experiments. The model predicted high responses for conspecific calls and low responses for heterospecific calls, indicating that temporal features could suffice to discriminate between the two species. The quantitative model could also be used more generally to check responses to other heterospecifics and to compare responses between conspecifics from different populations. O. henryi is found on a bush and thus the female has to navigate in a 3D environment to localize the singing male. Very few studies have explored 3D localization in insects and moreover an algorithm explaining the procedure is missing. I attempted to model the 3D localization capability in O. henryi. To understand the rules behind the localization animals were observed in the wild as well as on a 3D grid in the laboratory and simulations were created to capture the nature of the phonotaxis. Neither a random model nor a deterministic model (which estimated the shortest path) could predict the paths observed in the grid. A less complex Bayesian stochastic model performed better than a more complex one. From the assumptions of the model it was inferred that the animal, for 3D localization, basically performs localization in the azimuthal plane and combines certain simple rules to go up or down. This study has examined receiver tuning in response to change in carrier frequency with temperature, which to my knowledge had not been explored before for insects. In this study I also attempted to create a quantitative multivariate receiver response space through statistical modeling, a method that can be applied in similar studies across taxa in various acoustic communication systems. A detailed Bayesian algorithm to explain 3D localization for an insect was attempted which has also not been attempted before.

Das menschliche Gehirn funktioniert weitgehend zuverlässig – egal ob man im Schneegestöber nach einer schützenden Unterkunft sucht oder im Hochsommer einen Marathon läuft. Der Grund hierfür liegt im Erhalt einer nahezu konstanten Körpertemperatur, der für den menschlichen Organismus einen hohen Energieaufwand darstellt. Dadurch verliert die Temperaturabhängigkeit chemischer Prozesse auf mikroskopischer Ebene für den Menschen an Bedeutung – im Gegensatz zu allen wechselwarmen Lebewesen, deren Körpertemperatur sich der Umgebungstemperatur umgehend anpasst. Dass lebenswichtige Körper- und Gehirnfunktionen vieler Wechselwarmer dennoch über einen breiten Temperaturbereich funktionieren, legt nahe, dass sich diese Tiere Mechanismen zu Nutze machen, die die Temperaturabhängigkeit auf mikroskopischer Ebene ausgleichen. Die vorliegende Arbeit beschreibt Möglichkeiten der so genannten Temperaturkompensation am Beispiel des Hörsystems der Heuschrecke. Für einige Heuschreckenarten ermöglicht das Hörsystem die Lokalisierung und Identifizierung möglicher Partner anhand von Werbegesang, auch bei schlechten Sichtverhältnissen in hoher Vegetation. Insbesondere funktioniert die akustische Kommunikation über eine Temperaturspanne von bis zu 15°C. Diese Doktorarbeit erklärt zum einen, wie einzelne Nervenzellen mit temperaturabhängigen Ionenkanälen eine temperaturkompensierte Stimulusrepräsentation erzeugen können. Weiterhin wird gezeigt, dass der zugrundeliegende zell-intrinsische Kompensationsmechanismus nicht den neuronalen Energieverbrauch beeinträchtigen muss. Zum anderen wird belegt, dass die Schallverarbeitung auf höheren Verarbeitungsstufen selbst nicht temperaturkompensiert ist. Anhand mathematischer und computergestützter Modelle wird erläutert wie dennoch mit der gemessenen Temperaturabhängigkeit der neuronalen Verarbeitung temperaturkompensierte Gesangserkennung ermöglicht wird. Die vorgeschlagenen Mechanismen können auf alle wechselwarmen Organismen verallgemeinert werden. / The human brain largely remains functional regardless of whether one is searching for the shortest path to a warming shelter in a snowstorm or running a marathon on a summer’s day. This robustness of brain functionality can be attributed to the maintenance of a constant body temperature, which requires a large investment of energy. Due to homeothermy, the temperature dependence of all chemical reactions, including those inside the body, loses relevance as a constraint for humans. For poikilotherms, in contrast, a rise in ambient temperature translates to an increase in body temperature, which speeds up all chemical processes. Yet, many poikilotherms exhibit robustness of vital behaviors across a broad range of temperatures, which suggests the existence of mechanisms that compensate for temperature dependencies at the microscopic level. The present thesis proposes mechanisms for such temperature compensation, using the auditory system of the grasshopper as a model system. For various grasshopper species, the auditory system facilitates localization and recognition of conspecifics under conditions of low visibility. In particular, communication and recognition remain functional across a temperature range of up to 15 C. Here, we show on the one hand how single nerve cells with temperature-dependent ion channels can generate a temperature-compensated stimulus representation. Importantly, we reveal that the underlying cell-intrinsic compensation mechanism need not impair neuronal energy efficiency. On the other hand, we show that sound processing in higher-order neurons does not exhibit the degree of compensation that is found at the input level. Using a combination of mathematical modeling and simulations we show how temperature compensation of song recognition can be achieved at the network level, with temperature-dependent neural filters. In principle the proposed mechanisms are applicable to all poikilothermic species.