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The Acoustic World of Birds: Understanding Birdsong Frequencies and Their Impacts on Mental Health

*Heri Tarmizi
Image source Google

 Introduction

Birdsong is a complex and multifaceted phenomenon that serves various purposes in the avian world, including communication, mating, and territory defense. Different types of calls, such as calling calls and warning calls, play crucial roles in these activities. The frequency of these sounds varies, influencing not only bird behavior but also the human perception of these sounds. The song of wild birds often differs significantly from that of caged birds, with the latter experiencing higher stress levels that can alter their singing patterns. Understanding these frequencies is important not only for ornithologists but also for appreciating the positive impacts of birdsong on mental health.

Birdsong and Its Frequencies

Birds use a range of frequencies to produce different types of calls. Calling calls are generally used to attract mates or communicate with other birds while warning calls serve to alert others of potential dangers. The frequency of these calls can vary significantly depending on the species and the environment. 

For instance, birds in dense forests might use lower frequencies to ensure their calls travel longer distances through thick foliage. Conversely, birds in open areas might use higher frequencies, which are less likely to be distorted by wind and open spaces.

 The Impact of Birdsong on Mental Health

Research has shown that birdsong can have a positive impact on human mental health. The sound of birds singing can be soothing and is often associated with tranquility and relaxation. Listening to birdsong can reduce stress, improve mood, and even enhance cognitive performance. This is particularly true for the natural, varied songs of wild birds, which are perceived as more pleasant and stimulating compared to the songs of caged birds.

 Differences Between Wild and Caged Birds

Wild birds typically sing more freely and use a wider range of frequencies. Their songs are complex and rich in variety, reflecting their natural behaviors and interactions with their environment. In contrast, caged birds often experience stress due to confinement, which can lead to changes in their singing patterns. These birds might sing less frequently, use a narrower range of frequencies, or even imitate the songs of other species they hear, which can result in atypical song patterns.

Compare of variety song in different site 
Image source Google

Measuring Birdsong Frequencies

Understanding and analyzing the frequencies of birdsong is crucial for various reasons, including the study of bird behavior, the effects of environmental changes on bird populations, and the assessment of bird welfare. Several tools and software are available for this purpose:

1. Song Meter: This is a device used to record birdsong in the field. It captures a wide range of frequencies and provides high-quality audio recordings that can be analyzed later.

2. Raven Pro: Developed by the Cornell Lab of Ornithology, Raven Pro is a powerful software tool for the acquisition, visualization, and analysis of sounds. It allows researchers to view and measure the frequencies of birdsong, making it an essential tool for ornithologists.

3. Audio moth: This is a low-cost, open-source acoustic logger used for recording environmental sounds, including birdsong. It is particularly useful for long-term monitoring of bird populations.

4. Merlin Bird ID: Also developed by the Cornell Lab of Ornithology, this app helps users identify birds by their songs and calls. It provides a user-friendly interface for analyzing the frequency and pattern of birdsong.

 Analyzing Birdsong Frequencies

The process of analyzing birdsong frequencies typically involves recording the songs and then visualizing them using spectrograms. A spectrogram is a visual representation of the spectrum of frequencies in a sound as they vary with time. It allows researchers to see the different components of birdsong, including pitch, duration, and frequency.

Using software like Raven Pro, researchers can create detailed spectrograms that show the intricate patterns of birdsong. By examining these patterns, they can identify specific characteristics of different types of calls, such as the frequency range used for calling calls versus warning calls.

 The Role of Audiograms

An audiogram is a graph that shows the sensitivity of a bird to different frequencies of sound. It is used to determine the range of frequencies a bird can hear and is an important tool in studying how birds perceive and produce their songs. By comparing the audiograms of different bird species, researchers can gain insights into the evolution of birdsong and how environmental factors influence it.

 Conclusion

Birdsong is a vital part of the avian world, serving multiple functions and having significant effects on both birds and humans. Understanding the frequencies of birdsong and how they are affected by factors such as captivity and environmental changes is crucial for bird conservation and welfare. Tools like the Song Meter, Raven Pro, Audio Moth, and Merlin Bird ID provide valuable resources for recording and analyzing these sounds. Moreover, the positive impact of birdsong on mental health underscores the importance of preserving natural habitats where birds can thrive and sing freely.

 Bibliography

- Cornell Lab of Ornithology. (n.d.). Raven Pro. Retrieved from Cornell Lab of Ornithology   https://ravensoundsoftware.com/software/raven-pro/

- Hill, E. T., & MacDougall-Shackleton, S. A. (2021). Birds as Natural Psychotherapists: The Therapeutic Potential of Birdsong. Trends in Ecology & Evolution, 36 (5), 387-396.

- Krause, B. (2012). The Great Animal Orchestra: Finding the Origins of Music in the World’s Wild Places. Little, Brown and Company.

- Slabbekoorn, H., & Peet, M. (2003). Birds sing at a higher pitch in urban noise. Nature, 424 (6946), 267.

- Tucker, M. A., & Rogers, T. L. (2014). Examining the effects of urban noise on the stress levels of birds using song analysis. Urban Ecosystems, 17 (2), 599-612.

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