Abstract
Human Computer Biosphere Interaction (HCBI) is a relatively new academic discipline that acts as a critical juncture between the conservation biology and the Information, Communication and Technology (ICT). HCBI domain exploits the capabilities of the repertoire of available technological tools to remotely sense data from difficult geographical terrains in a secure and cost-effective manner. In this perspective paper, we highlight some of the bio-acoustic technologies that we have been using for our research in Fukushima prefecture, Japan. Learning from our experience in Fukushima, we provide our preliminary viewpoint on the possibility of incorporating HCBI research in Manang, Nepal. Our impressions are largely based on the site visit to Manang and informal interaction with locals and conservation specialists. The preliminary feasibility study will prove useful in future as we plan a full-fledged ICT based animal conservation study to assess how the application of ICT tools for wildlife monitoring can contribute to the economic empowerment of locals in Manang who depend on subsistence farming. In summary, this paper provides a preliminary overview of the potentiality of technology transfer from Japan to the remote hilly areas in Nepal for wildlife conservation by employing ICT tools and participatory sensing approach.
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References
Bajracharya, S.B., Furley, P.A., Newton, A.C.: Effectiveness of community involvement in delivering conservation benefits to the Annapurna conservation area, Nepal. Environ. Conserv. 32(3), 239–247 (2005)
BBC: Nepal forest fires ‘cause big wildlife loss’. https://www.bbc.com/news/science-environment-17937620
Beery, S.: Scaling biodiversity monitoring for the data age. XRDS 27(4), 14–18 (2021). https://doi.org/10.1145/3466857
Bhatta, K., Bhattarai, S., Aryal, A.: Community based anti-poaching operation: effective model for wildlife conservation in Nepal. Poult. Fish. Wildl. Sci 6(2) (2018)
Cai, J., Ee, D., Pham, B., Roe, P., Zhang, J.: Sensor network for the monitoring of ecosystem: Bird species recognition. In: 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information, pp. 293–298. IEEE (2007)
Chaplin, J., Brabyn, L.: Using remote sensing and GIS to investigate the impacts of tourism on forest cover in the Annapurna Conservation Area, Nepal. Appl. Geogr. 43, 159–168 (2013)
Elias, A.R., Golubovic, N., Krintz, C., Wolski, R.: Where’s the bear?-Automating wildlife image processing using IoT and edge cloud systems. In: 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation (IoTDI), pp. 247–258. IEEE (2017)
Farina, A., Lattanzi, E., Malavasi, R., Pieretti, N., Piccioli, L.: Avian soundscapes and cognitive landscapes: theory, application and ecological perspectives. Landsc. Ecol. 26(9), 1257–1267 (2011). https://doi.org/10.1007/s10980-011-9617-z
Giraldo-Zuluaga, J.H., Salazar, A., Gomez, A., Diaz-Pulido, A.: Recognition of mammal genera on camera-trap images using multi-layer robust principal component analysis and mixture neural networks. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 53–60 (2017). https://doi.org/10.1109/ICTAI.2017.00020
Ikeda, N.: Economic impacts of livestock depredation by snow leopard Uncia Uncia in the Kanchenjunga conservation area, Nepal Himalaya. Environ. Conserv. 3(4), 322–330 (2004)
Kobayashi, H.H., et al.: A real-time streaming and detection system for bio-acoustic ecological studies after the fukushima accident. In: Joly, A., Vrochidis, S., Karatzas, K., Karppinen, A., Bonnet, P. (eds.) Multimedia Tools and Applications for Environmental & Biodiversity Informatics. MSA, pp. 53–66. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76445-0_4
Kunwar, R.M., Khaling, S.: International forest fire news. Int. Forest Fire News 34, 1–9 (2016)
Møller, A.P., Mousseau, T.A.: Strong effects of ionizing radiation from Chernobyl on mutation rates. Sci. Rep. 5(1), 1–6 (2015)
Mousseau, T.A., Møller, A.P.: Genetic and ecological studies of animals in Chernobyl and Fukushima. J. Heredity 105(5), 704–709 (2014)
Nakamura, K.W., Watanabe, R., Fujiwara, A., Saito, K., Kobayashi, H.H., Sezaki, K.: Plant phenology observation by students using time-lapse images: creation of the environment and examination of its adequacy. Environments 5(1), 7 (2018)
O’Connell, A.F., Nichols, J.D., Karanth, K.U.: Camera Traps in Animal Ecology: Methods and Analyses, vol. 271. Springer, Tokyo (2011). https://doi.org/10.1007/978-4-431-99495-4
Oli, M.K., Taylor, I.R., Rogers, M.E.: Snow leopard Panthera uncia predation of livestock: an assessment of local perceptions in the Annapurna Conservation Area, Nepal. Biol. Conserv. 68(1), 63–68 (1994)
Saito, K., et al.: Utilizing the Cyberforest live sound system with social media to remotely conduct woodland bird censuses in Central Japan. Ambio. 44(Suppl. 4), 572–583 (2015). https://doi.org/10.1007/s13280-015-0708-y
Schaller, G.: Field of dreams. Wild. Conserv. September/October (1992)
Sharma, B.D., Clevers, J., De Graaf, R., Chapagain, N.R.: Mapping Equus kiang (tibetan Wild Ass) habitat in Surkhang, Upper Mustang, Nepal. Mount. Res. Dev. 24(2), 149–156 (2004)
Su, H., Bista, M., Li, M.: Mapping habitat suitability for Asiatic black bear and red panda in Makalu Barun National Park of Nepal from Maxent and GARP models. Sci. Rep. 11(1), 1–14 (2021)
Sueur, J., Farina, A., Gasc, A., Pieretti, N., Pavoine, S.: Acoustic indices for biodiversity assessment and landscape investigation. Acta Acust. United Acust. 100(4), 772–781 (2014). https://doi.org/10.3813/AAA.918757
Sullivan, B.L., Wood, C.L., Iliff, M.J., Bonney, R.E., Fink, D., Kelling, S.: eBird: a citizen-based bird observation network in the biological sciences. Biol. Conserv. 142(10), 2282–2292 (2009). https://doi.org/10.1016/j.biocon.2009.05.006
Thapa, A., et al.: Combined land cover changes and habitat occupancy to understand corridor status of Laljhadi-Mohana wildlife corridor, Nepal. Eur. J. Wildl. Res. 63(5), 1–14 (2017)
Ueta, M.: Adequate survey periods and the utility of sound recording to census nocturnal birds in the forest. Bird Res. 4 (2008)
Wildlife Management Office Inc. https://wmo.co.jp/service/monitoring. Accessed Feb 2022
World Wild Life Fund: New WWF report: 3 billion animals impacted by Australia’s bushfire crisis. https://www.wwf.org.au/news/news/2020/3-billion-animals-impacted-by-australia-bushfire-crisis
Acknowledgements
This study is supported by the Coordination Funds for Promoting AeroSpace Utilization (2021–2023) grants from the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) and a grant from the Tateisi Science and Technology Foundation.
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Shimotoku, D., Yuan, T., Parajuli, L.K., Kobayashi, H.H. (2022). Participatory Sensing Platform Concept for Wildlife Animals in the Himalaya Region, Nepal. In: Streitz, N.A., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-being and Health, Art and Creativity. HCII 2022. Lecture Notes in Computer Science, vol 13326. Springer, Cham. https://doi.org/10.1007/978-3-031-05431-0_6
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