Abstract:SUMMARYAcoustic pattern recognition is important for bringing together males and females in many insect species. We used phonotaxis experiments on a walking compensator to study call recognition in the katydid Neoconocephalus affinis, a species with a doublepulsed call and an atypically slow pulse rate for the genus. Call recognition in this species is unusual because females require the presence of two alternating pulse amplitudes in the signal. A Fourier analysis of the stimulus-envelopes revealed that femal… Show more
“…These slow amplitude modulations (AM) are important for female preferences in N. affinis and N. ensiger
26
,
42; N. retusiformis calls have a distinct slow AM rate, but we lack data on female preferences. Male N. exciliscanorus typically have seven opening and closing movements in each chirp22.…”
Section: Discussionmentioning
confidence: 99%
“…Neoconocephalus calls are produced during opening and closing of the forewings (elytra); loud sound pulses are produced during the closing, while sounds during the opening are typically much softer22 and are not required for female responses (e.g 1718
,
24
,
25; but see 26). We therefore limit our description of the temporal pattern to the closing pulses and refer to them simply as 'pulses.'…”
Section: Methodsmentioning
confidence: 99%
“…(see text); * the verse duration for N. ensiger as given here interprets individual pulses as chirps (see text).SpeciesCall StructureVerse DurationVerse Rate[Hz]Pulse PatternPulse Rate[Hz]SourceN. affinisC--doubleslow 10-12
15
26
N. bivocatusC--doublefast 155-175
17
39
N.…”
The katydid genus Neoconocephalus is characterized by high diversity of the acoustic communication system. Both male signals and female preferences have been thoroughly studied in the past. This study used Bayesian character state reconstruction to elucidate the evolutionary history of diverse call traits, based on an existing, well supported phylogenetic hypothesis. The most common male call pattern consisted of continuous calls comprising one fast pulse rate; this pattern is the likely ancestral state in this genus. Three lines of call divergence existed among the species of the genus. First, four species had significantly slower pulse rates. Second, five species had alternating pulse periods, resulting in a double pulse rhythm. Third, several species had discontinuous calls, when pulses were grouped into rhythmically repeated verses. Bayesian character state reconstruction revealed that the double-pulse pattern likely evolved convergently five times; the slow pulse rate also evolved four times independently. Discontinuous calls have evolved twice and occur in two clades; each of which contains reversals to the ancestral continuous calls. Pairwise phylogenetically independent contrast analyses among the three call traits found no significant correlations among the character states of the different traits, supporting the independent evolution of the three call traits.
“…These slow amplitude modulations (AM) are important for female preferences in N. affinis and N. ensiger
26
,
42; N. retusiformis calls have a distinct slow AM rate, but we lack data on female preferences. Male N. exciliscanorus typically have seven opening and closing movements in each chirp22.…”
Section: Discussionmentioning
confidence: 99%
“…Neoconocephalus calls are produced during opening and closing of the forewings (elytra); loud sound pulses are produced during the closing, while sounds during the opening are typically much softer22 and are not required for female responses (e.g 1718
,
24
,
25; but see 26). We therefore limit our description of the temporal pattern to the closing pulses and refer to them simply as 'pulses.'…”
Section: Methodsmentioning
confidence: 99%
“…(see text); * the verse duration for N. ensiger as given here interprets individual pulses as chirps (see text).SpeciesCall StructureVerse DurationVerse Rate[Hz]Pulse PatternPulse Rate[Hz]SourceN. affinisC--doubleslow 10-12
15
26
N. bivocatusC--doublefast 155-175
17
39
N.…”
The katydid genus Neoconocephalus is characterized by high diversity of the acoustic communication system. Both male signals and female preferences have been thoroughly studied in the past. This study used Bayesian character state reconstruction to elucidate the evolutionary history of diverse call traits, based on an existing, well supported phylogenetic hypothesis. The most common male call pattern consisted of continuous calls comprising one fast pulse rate; this pattern is the likely ancestral state in this genus. Three lines of call divergence existed among the species of the genus. First, four species had significantly slower pulse rates. Second, five species had alternating pulse periods, resulting in a double pulse rhythm. Third, several species had discontinuous calls, when pulses were grouped into rhythmically repeated verses. Bayesian character state reconstruction revealed that the double-pulse pattern likely evolved convergently five times; the slow pulse rate also evolved four times independently. Discontinuous calls have evolved twice and occur in two clades; each of which contains reversals to the ancestral continuous calls. Pairwise phylogenetically independent contrast analyses among the three call traits found no significant correlations among the character states of the different traits, supporting the independent evolution of the three call traits.
“…The second harmonic is generated by the amplitude difference between the two pulses making up a pulse pair. Females respond to double pulses that have been merged into a single pulse only if this amplitude modulation is preserved (Bush et al 2009). Insect songs had a good stability that is already used as a powerful tool in taxonomy, especially in some closerelated species (Schul 1998).…”
Background: The locusts Locusta migratoria migratoria (Orthoptera: Acrididae) is the most destructive agricultural pests worldwide, the population and distribution of L. migratoria migratoria growing rapidly in recent years. It is crucial to find a green, economical way to monitor this insect's population for effective control tactics. In this study, acoustic samples were recorded and analyzed under three different density levels of Asian migratory locust L. migratoria migratoria.
Results:The results showed that the songs of L. migratoria migratoria had a very stable acoustic feature in time domains; then, we used duration of pulse as a tool for identifying and counting the numbers of pulse to classify the population size. After removing the background noises, an automatic density classification and monitoring system was established based on the backpropagation (BP) neural network. The field sample test showed that the accuracy of the density level recognition reached 96.67%.
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