Urban noise and the cultural evolution of bird songs

In urban environments, anthropogenic noise can interfere with animal communication. Here we study the influence of urban noise on the cultural evolution of bird songs. We studied three adjacent dialects of white-crowned sparrow songs over a 30-year time span. Urban noise, which is louder at low frequencies, increased during our study period and therefore should have created a selection pressure for songs with higher frequencies. We found that the minimum frequency of songs increased both within and between dialects during the 30-year time span. For example, the dialect with the highest minimum frequency is in the process of replacing another dialect that has lower frequency songs. Songs with the highest minimum frequency were favoured in this environment and should have the most effective transmission properties. We suggest that one mechanism that influences how dialects, and cultural traits in general, are selected and transmitted from one generation to the next is the dialect''s ability to be effectively communicated in the local environment.     

From fish to fashion: experimental and theoretical insights into the evolution of culture

Recent years have witnessed a re-evaluation of the cognitive capabilities of fishes, including with respect to social learning. Indeed, some of the best experimental evidence for animal traditions can be found in fishes. Laboratory experimental studies reveal that many fishes acquire dietary, food site and mating preferences, predator recognition and avoidance behaviour, and learn pathways, through copying other fishes. Concentrating on foraging behaviour, we will present the findings of laboratory experiments that reveal social learning, behavioural innovation, the diffusion of novel behaviour through populations and traditional use of food sites. Further studies reveal surprisingly complex social learning strategies deployed by sticklebacks. We will go on to place these observations of fish in a phylogenetic context, describing in which respects the learning and traditionality of fish are similar to, and differ from, that observed in other animals. We end by drawing on theoretical insights to suggest processes that may have played important roles in the evolution of the human cultural capability.     

Wild Birds Learn Songs from Experimental Vocal Tutors

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鸟类鸣声行为对其物种分化和新种形成影响

鸟声和鸟类的形态特征一样,具有物种的特异性,在鸟类分类和野外识别方面是有意义的,从生物种的基本概念出发,新种的形成有赖于两个亲缘种群间不能相互婚配和繁殖隔离的产生。鸟类主要的有关特征是在配对形成过程中的听觉和视觉特征,如果出现鸣声特征的差异,而且这种差异已经超出了种间“语言通讯”的变化范围,那么它就有可能与群内其它异笥无法配对,从而被排除到该种群或种的范围之外,然而鸣禽的鸣唱有时在不同种群间变化很大,而在同一种群内比较稳定,从而形成种群的方言,在方言种群之间,如果长期隔离,就会在种群之间形成障碍乃至遗传上的隔离,从而使种群间失去了相互配偶的机会,新的亚种或种可能由此形成,文章最后假设出了基于鸣声行为的鸟类新种形成机理图解。     

Saisonaler Verlauf der Gesangsaktivit?t der Singdrossel(Turdus philomelos), mit Anmerkungen zum nachbrutzeitlichen Gesangsschub

Zusammenfassung Der Zürichbergwald ist eine 350 ha große, bewaldete Kuppe auf 480–680 m ü.M. am Rande der Stadt Zürich. Hier untersuchten wir von 1989 bis 1995 die jahreszeitliche Gesangsaktivität der Singdrossel mit zwei verschiedenen Ansätzen. 1989 und 1991–1995 zählte JH an 123 Tagen auf zwei festgelegten Strecken von 6,1 und 7,1 km die Sänger jeweils in der Stunde der abendlichen Dämmerung. Im gleichen Gebiet zählte RS 1990 an 46 Tagen auf einer 6,7 km langen Strecke am Morgen in der Stunde nach Sonnenaufgang. Ebenfalls 1990 sammelte RS Daten zur Brutbiologie.Die Gesangsaktivität definierten wir mit der Anzahl singender Männchen pro km. Im Jahresverlauf zeigen die Kurven der Morgen- und der Abendaktivität keinen Unterschied. Die Kurve ist deutlich dreiphasig: Ein erster Gesangsschub vom Eintreffen der Vögel bis zum 5. April, danach eine gesangsarme Zwischenzeit bis zum 15. Mai, gefolgt von einem zweiten Gesangsschub, welcher bis zum 5. Juli dauern kann. Allenfalls ist der erste Gesangsschub (stark zeitverschoben) mit dem Beginn der Erstbruten korreliert; die von vielen Singvögel bekannte, markante Gesangsaktivität unmittelbar vor der Eiablage gibt es nicht. Der zweite Gesangsschub ist in der Stärke mit dem ersten vergleichbar. Allerdings liegt er eindeutig am Ende der Brutzeit und kann nicht mit einem Brutparameter (Partnerfindung, Paarbindung, Balz, Brut-Stimulation) in Zusammenhang stehen. Die Funktion dieser nachbrutzeitlichen Gesangsaktivität scheint zukunftsbezogen zu sein. In Frage kommt gehäuftes Singen der Väter vor den Jungen zum Erlernen des Gesangs und des Dialekts, oder/und eine Revier-Voranzeige für die nänchste Brutsaison durch die als philopatrisch bekannten Männchen.

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Annual variation in singing activity of the Song Thrush(Turdus philomelos), with comments on high postbreeding song output

Summary This study was carried out at the Zürichbergwald, a forest east of Zurich (47°20N/08°30E). The study site is a wooded hill of 350 ha between 480 to 680 m asl, characterised by a BeechFagus silvatica forest with patches of SprucePicea abies on 25 % of its surface. The Zürichbergwald is a popular recreational area with moderate forestry exploitation. We did not differentiate acoustic registration from singing activity, and we considered the number of singing males per km to be a measure for singing activity. Two different approaches were applied: in 6 breeding seasons (1989 and 1991 to 1995) JH counted birds at sunset on a 6.1 or 7.1 km circuit (n=123). In 1990, the same was done by RS at dawn each morning on a zigzag track of 6.7 km (n=46). Also in 1990, RS sampled data on the breeding biology of the species.The annual cycle of morning and evening song activity was significantly correlated (Spearman's rank-test; p<0.001 comparing pentads, p=0.025 comparing half of months). Morning and evening revealed the same pattern: there was a first large peak of singing activity early in the year (earliest onset of singing 19 February 1989; latest 8 March 1993) until 5 April (phase I). A period of low song activity followed from 6 April to 15 May (phase II). The period from 16 May to (circa) 5 July was characterized by a second large peak (phase III). Each of the corresponding phases was comparable between morning and evening (Wilcoxon matching pairs; p>0.05). The analysis of evening data reveals that phase II differed from I and from III (p=0.05), but the last two did not differ significantly (Wilcoxon matching pairs; p>0.05).The day with the highest song activity fell in phase I twice (maximum 6.1 singing males/km, 2 April 1995) and 5 times in phase III (maximum 6.9 singing males/km, 23 May 1994).The date females first laid was determined for 53 out of 68 nests. The first brood started 25 March, the last 25 June 1990. Only 3 broods were initiated later than 5 June.The first peak of singing activity could be correlated with the (delayed) onset of breeding, but the second started at the end of the breeding season and persisted too long to be correlated with any breeding activity such as female attraction or stimulation, mate-guarding, etc. We postulate the high post-breeding song output to have several possible functions: Song instruction by father to offspring, or territory announcement for the next season.

     

Typical versions of learned swamp sparrow song types are more effective signals than are less typical versions

The learned songs of songbirds often cluster into population-wide types. Here, we test the hypothesis that male and female receivers respond differently to songs depending on how typical of those types they are. We used computational methods to cluster a large sample of swamp sparrow (Melospiza georgiana) songs into types and to estimate the degree to which individual song exemplars are typical of these types. We then played exemplars to male and female receivers. Territorial males responded more aggressively and captive females performed more sexual displays in response to songs that are highly typical than to songs that are less typical. Previous studies have demonstrated that songbirds distinguish song types that are typical for their species, or for their population, from those that are not. Our results show that swamp sparrows also discriminate typical from less typical exemplars within learned song-type categories. In addition, our results suggest that more typical versions of song types function better, at least in male–female communication. This finding is consistent with the hypothesis that syllable type typicality serves as a proxy for the assessment of song learning accuracy.     

The learning advantage: bird species that learn their song show a tighter adjustment of song to noisy environments than those that do not learn

Song learning has evolved within several avian groups. Although its evolutionary advantage is not clear, it has been proposed that song learning may be advantageous in allowing birds to adapt their songs to the local acoustic environment. To test this hypothesis, we analysed patterns of song adjustment to noisy environments and explored their possible link to song learning. Bird vocalizations can be masked by low‐frequency noise, and birds respond to this by singing higher‐pitched songs. Most reports of this strategy involve oscines, a group of birds with learning‐based song variability, and it is doubtful whether species that lack song learning (e.g. suboscines) can adjust their songs to noisy environments. We address this question by comparing the degree of song adjustment to noise in a large sample of oscines (17 populations, 14 species) and suboscines (11 populations, 7 species), recorded in Brazil (Manaus, Brasilia and Curitiba) and Mexico City. We found a significantly stronger association between minimum song frequency and noise levels (effect size) in oscines than in suboscines, suggesting a tighter match in oscines between song transmission capacity and ambient acoustics. Suboscines may be more vulnerable to acoustic pollution than oscines and thus less capable of colonizing cities or acoustically novel habitats. Additionally, we found that species whose song frequency was more divergent between populations showed tighter noise–song frequency associations. Our results suggest that song learning and/or song plasticity allows adaptation to new habitats and that this selective advantage may be linked to the evolution of song learning and plasticity.     

Rapid evolution of courtship song pattern in Drosophila willistoni sibling species

Courtship behaviours may provide a more reliable means of identifying reproductively isolated taxa than traits such as morphology or many genetic markers. Here we describe the courtship songs of the Drosophila willistoni sibling species group, which consists of several species and subspecies. We find that song pattern is species-specific, despite significant differences among strains within species. D. paulistorum has the most variable song pattern, which reflects this species' traditional subdivision into semispecies. All the other species could be unambiguously identified by song. The major differences among these species was in the interpulse interval, as has been found in other studies of fly song. However, the interpulse intervals of the species studied here were often multimodal. This was partly due to the presence of multiple song types within the courtship repertoire, but it also reflected changes in interpulse interval within a song type by some males. Unusually, some species had distinctively patterned variation in interpulse interval. Song must have evolved rapidly within the species complex, probably due to sexual selection.     

Interactions of genetic and cultural evolution: Models and examples

This paper proposes models and examples of five principal modes of interaction between genes and culture in human evolution. Because genes and culture ultimately interact in the minds of individuals, the models are focused on individual level processes of constrained microevolution. The central hypotheses are (1) that cultural evolution as well as genetic evolution commonly proceeds by the differential transmission of alternative instructions among individuals, (2) that genetic and cultural processes directly interact through mutual influence on each other's differentials of transmission in a population, (3) that the cultural process is often self-selecting by its own criteria, and (4) that these criteria generally operate to enhance rather than oppose human adaptation. Evolutionary change at higher levels, which is particularly important in sociocultural evolution, is interpreted as restructuring the nature and extent of the variability available at the individual level. To clarify the conceptual differences of the models and hopefully to stimulate related analyses in other areas, I discuss selected examples of each of these interactions. I conclude with some remarks on the relative importance of the models to human ecology and evolution.