Effectiveness of Ultrasonic Frequencies on the Behavior and Migration Patterns of Rice Field Rats (Rattus argentiventer)
DOI:
https://doi.org/10.35335/int.jo.emod.v16i3.163Keywords:
Migration behavior, Pest control, Rice field rats, Smart agriculture, Ultrasonic frequencyAbstract
Rat infestation by Rattus argentiventer remains a serious problem in irrigated rice fields, causing significant yield losses and threatening sustainable rice production. Conventional control methods rely heavily on chemical rodenticides, which pose environmental risks and show declining long-term effectiveness. Ultrasonic deterrent technology has been proposed as an alternative; however, its effectiveness in open-field agricultural environments remains inconsistent and poorly understood. This study aims to analyze the behavioral and migration responses of rice field rats to different ultrasonic frequency ranges to clarify the mechanisms underlying ultrasonic deterrence. A field-based experimental design was applied using paired treatment and control plots, with ultrasonic frequencies ranging from 20 to 40 kHz. Rat activity and movement were monitored through camera traps and motion sensors, and spatial behavior was analyzed using activity reduction rates, migration distance, and path deviation indices. The results indicate a clear frequency-dependent response, with ultrasonic exposure at 30–35 kHz producing the strongest avoidance behavior and directional displacement. These findings suggest that ultrasonic deterrence primarily induces spatial displacement rather than population elimination and provide important implications for the development of adaptive ultrasonic–IoT systems to support smart and sustainable pest management in rice agriculture.
References
Anton, V. (2019). Understanding distributions of invasive mammals in urban environments using remote cameras and citizen science. Open Access Te Herenga Waka-Victoria University of Wellington.
Arnett, E. B., Hein, C. D., Schirmacher, M. R., Huso, M. M. P., & Szewczak, J. M. (2013). Evaluating the effectiveness of an ultrasonic acoustic deterrent for reducing bat fatalities at wind turbines. PloS One, 8(6), e65794.
Bomford, M., & O’Brien, P. (1990). Sonic deterrents in animal damage control: A review of device tests and effectiveness. Wildlife Society Bulletin, 18(4), 411–422.
Brown, J. S., & Kotler, B. P. (2004). Hazardous duty pay and the foraging cost of predation. Ecology Letters, 7(10), 999–1014. https://doi.org/10.1111/j.1461-0248.2004.00661.x
Brown, P. R., & Singleton, G. R. (2005). Rodent outbreaks in Asia: Biology and management. International Rice Research Notes, 30(1), 1–10.
Brudzynski, S. M. (2021). Biological functions of rat ultrasonic vocalizations, arousal mechanisms, and call initiation. Brain Sciences, 11(5), 605.
Burwell, A. K., & Baldwin, A. L. (2006). Do audible and ultrasonic sounds of intensities common in animal facilities affect the autonomic nervous system of rodents? Journal of Applied Animal Welfare Science, 9(3), 179–200.
Cagnacci, F., Focardi, S., Ghisla, A., Van Moorter, B., Merrill, E. H., Gurarie, E., Heurich, M., Mysterud, A., Linnell, J., & Panzacchi, M. (2016). How many routes lead to migration? Comparison of methods to assess and characterize migratory movements. Journal of Animal Ecology, 85(1), 54–68.
Chawade, A., Van Ham, J., Blomquist, H., Bagge, O., Alexandersson, E., & Ortiz, R. (2019). High-throughput field-phenotyping tools for plant breeding and precision agriculture. Agronomy, 9(5), 258.
Condon, C. D., & Weinberger, N. M. (1991). Habituation produces frequency-specific plasticity of receptive fields in the auditory cortex. Behavioral Neuroscience, 105(3), 416.
Daigle, G. A., Embleton, T. F. W., & Piercy, J. E. (1986). Propagation of sound in the presence of gradients and turbulence near the ground. The Journal of the Acoustical Society of America, 79(3), 613–627.
Dallas, R. K. K. (2020). Activity pattern analysis and overlap between the invasive red fox, Vulpes vulpes L. and its prey within a fragmented landscape in south eastern Australia. University of Wollongong.
De Hoz, L., & Nelken, I. (2014). Frequency tuning in the behaving mouse: different bandwidths for discrimination and generalization. PloS One, 9(3), e91676.
Demaestri, C., Brenhouse, H. C., & Honeycutt, J. A. (2019). 22 kHz and 55 kHz ultrasonic vocalizations differentially influence neural and behavioral outcomes: implications for modeling anxiety via auditory stimuli in the rat. Behavioural Brain Research, 360, 134–145.
Fahad, S., Adnan, M., Noor, M., Arif, M., Alam, M., Khan, I. A., Ullah, H., Wahid, F., Mian, I. A., & Jamal, Y. (2019). Major constraints for global rice production. In Advances in rice research for abiotic stress tolerance (pp. 1–22). Elsevier.
Fariñas, M. D., Knapik, D. S., Pina, J. J. P., Pelegrin, E. G., & Álvarez-Arenas, T. E. G. (2014). Monitoring plant response to environmental stimuli by ultrasonic sensing of the leaves. Ultrasound in Medicine & Biology, 40(9), 2183–2194.
Fluitt, K. F., Mermagen, T., & Letowski, T. (2013). Auditory perception in open field: Distance estimation.
Gil, E., Escolà, A., Rosell, J. R., Planas, S., & Val, L. (2007). Variable rate application of plant protection products in vineyard using ultrasonic sensors. Crop Protection, 26(8), 1287–1297.
Gleason, J. H. (2013). Comparative power of the ANOVA, approximate randomization ANOVA, and Kruskal-Wallis test. Wayne State University.
González-Centeno, M. R., Knoerzer, K., Sabarez, H., Simal, S., Rosselló, C., & Femenia, A. (2014). Effect of acoustic frequency and power density on the aqueous ultrasonic-assisted extraction of grape pomace (Vitis vinifera L.)–A response surface approach. Ultrasonics Sonochemistry, 21(6), 2176–2184.
Gonzalez-de-Santos, P., Ribeiro, A., Fernandez-Quintanilla, C., Lopez-Granados, F., Brandstoetter, M., Tomic, S., Pedrazzi, S., Peruzzi, A., Pajares, G., & Kaplanis, G. (2017). Fleets of robots for environmentally-safe pest control in agriculture. Precision Agriculture, 18(4), 574–614.
Jacob, J., et al. (2010). Ecologically based rodent management: Breaking the cycle of rodent outbreaks. Pest Management Science, 66(4), 353–359. https://doi.org/10.1002/ps.1897
Khamari, B. (2020). Grain discolouration: an emerging threat to rice crop. Research Biotica, 2(2), 80–87.
Kinzie, K., Hale, A., Bennett, V., Romano, B., Skalski, J., Coppinger, K., & Miller, M. F. (2018). Ultrasonic Bat Deterrent Technology. General Electric Co., Schenectady, NY (United States).
Leighton, T. G., Currie, H. A. L., Holgate, A., Dolder, C. N., Jones, S. L., White, P. R., & Kemp, P. S. (2019). Analogies in contextualizing human response to airborne ultrasound and fish response to acoustic noise and deterrents. Proceedings of Meetings on Acoustics, 37(1), 10014.
Li, T. (2009). Ultrasonic batch mode micromachining and its application to piezoelectric sensors for fine needle aspiration biopsy. University of Michigan.
Mat-Shayuti, M. S., Tuan Ya, T. M. Y. S., Abdullah, M. Z., Othman, N. H., & Alias, N. H. (2021). Exploring the effect of ultrasonic power, frequency, and load toward remediation of oil-contaminated beach and oilfield sands using ANOVA. Environmental Science and Pollution Research, 28(41), 58081–58091.
Mathies, N. H., Ogburn, M. B., McFall, G., & Fangman, S. (2014). Environmental interference factors affecting detection range in acoustic telemetry studies using fixed receiver arrays. Marine Ecology Progress Series, 495, 27–38.
Mason, J. R., & Clark, L. (1997). Ultrasonic and sonic repellents: A review of efficacy. Wildlife Society Bulletin, 25(2), 559–566.
Nawaz, A., Farooq, M., Nadeem, F., Siddique, K. H. M., & Lal, R. (2019). Rice–wheat cropping systems in South Asia: issues, options and opportunities. Crop and Pasture Science, 70(5), 395–427.
Nwobi, F. N., & Akanno, F. C. (2021). Power comparison of ANOVA and Kruskal–Wallis tests when error assumptions are violated. Metodoloski Zvezki, 18(2), 53–71.
Pakeerathan, K., & Vaishnavi, K. (2022). SMART crop protection in organic agriculture and policy recommendations for the Sri Lankan context. Environment Sustenance and Food Safety: Need for More Vibrant Policy Initiatives for Sri Lanka, 132, 132.
Pulido, F., Berthold, P., & Van Noordwijk, A. J. (1996). Frequency of migrants and migratory activity are genetically correlated in a bird population: evolutionary implications. Proceedings of the National Academy of Sciences, 93(25), 14642–14647.
Rahim, H. U., Ahmad, S., Khan, Z., & Khan, M. A. (2020). Field-based investigation of aged biochar coupled with summer legumes effect on wheat yield in Pakistan. Buletin Agroteknologi, 1(1), 1–6.
Sales, G., & Pye, D. (1974). Ultrasonic communication by animals. Chapman and Hall.
Sam, S. A. (2011). New monitoring and control tools for simultaneously managing possums, rats and mice in New Zealand.
Sharma, A., et al. (2018). Smart agriculture using IoT: A review. International Journal of Advanced Computer Science and Applications, 9(3), 364–371. https://doi.org/10.14569/IJACSA.2018.090350
Singleton, G. (2003). Impacts of rodents on rice production in Asia.
Singleton, G. R., Brown, P. R., Jacob, J., Aplin, K. P., & Sudarmaji. (2007). Unwanted and unintended effects of culling: A case for ecologically‐based rodent management. Integrative Zoology, 2(4), 247–259.
Singleton, G. R., Lorica, R. P., Htwe, N. M., & Stuart, A. M. (2021). Rodent management and cereal production in Asia: Balancing food security and conservation. Pest Management Science, 77(10), 4249–4261.
Singleton, G. R., et al. (2010). Rodent outbreaks: Ecology and impacts. Philosophical Transactions of the Royal Society B, 365(1552), 1501–1512. https://doi.org/10.1098/rstb.2010.0147
Smirnov, I., & Fisher, H. (2008). Molecular Resonance Effect Technology: The Dynamic Effects on Human Physiology.
Stuart, A. M., Kong, P., Then, R., Flor, R. J., & Sathya, K. (2020). Tailor-made solutions to tackle rodent pests of rice through community-based management approaches in Cambodia. Crop Protection, 135, 104717.
Tenny, S., & Abdelgawad, I. (2017). Statistical significance.
Tomazini, F. M., Reimer, A., Albrechet-Souza, L., & Brandão, M. L. (2006). Opposite effects of short-and long-duration isolation on ultrasonic vocalization, startle and prepulse inhibition in rats. Journal of Neuroscience Methods, 153(1), 114–120.
Ward, A. I., Pietravalle, S., Cowan, D. P., & Delahay, R. J. (2008). Deterrent or dinner bell? Alteration of badger activity and feeding at baited plots using ultrasonic and water jet devices. Applied Animal Behaviour Science, 115(3–4), 221–232.
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