DOI QR코드

DOI QR Code

Monitoring the presence of wild boar and land mammals using environmental DNA metabarcoding - Case study in Yangpyeong-gun, Gyeonggi-do -

환경 DNA 메타바코딩을 활용한 멧돼지 및 육상 포유류 출현 모니터링 - 경기도 양평군 일대를 중심으로 -

  • Kim, Yong-Hwan (Dept. of Landscape Architecture, Graduate School of Environmental Studies, Seoul National University) ;
  • Han, Youn-Ha (Dept. of Landscape Architecture, Graduate School of Environmental Studies, Seoul National University) ;
  • Park, Ji-Yun (Dept. of Landscape Architecture, Graduate School of Environmental Studies, Seoul National University) ;
  • Kim, Ho Gul (Dept. of Human Environment Design, Major in Landscape Urban Planning, Cheongju University) ;
  • Cho, Soo-Hyun (Plant Resources Division, National Institute of Biological Resources) ;
  • Song, Young-Keun (Dept. of Landscape Architecture, Graduate School of Environmental Studies, Seoul National University)
  • 김용환 (서울대학교 환경대학원 환경조경학과) ;
  • 한윤하 (서울대학교 환경대학원 환경조경학과) ;
  • 박지윤 (서울대학교 환경대학원 환경조경학과) ;
  • 김호걸 (청주대학교 휴먼환경디자인학부 조경도시계획전공) ;
  • 조수현 (국립생물자원관 식물자원과) ;
  • 송영근 (서울대학교 환경대학원 환경조경학과)
  • Received : 2021.11.14
  • Accepted : 2021.12.19
  • Published : 2021.12.31

Abstract

This study aims to estimate location of land mammals habitat by analyzing spatial data and investigate how to apply environmental DNA monitoring methodology to lotic system in Yangpyeong-gun, Gyeonggi-do. Environmental DNA sampling points are selected through spatial analysis with QGIS open source program by overlaying Kernel density of wild boar(Sus scrofa), elevation, slope and land-cover map, and 81 samples are collected. After 240 mL of water was filtered in each sample, metabarcoding technique using MiMammal universal primer was applied in order to get a whole list of mammal species whose DNA particles contained in filtered water. 8 and 22 samples showed DNA of wild boar and water deer, respectively. DNA of raccoon dog, Eurasian otter, and Siberian weasel are also detected through metabarcoding analysis. This study is valuable that conducted in outdoor lotic system. The study suggests a new wildlife monitoring methodology integrating overlayed geographic data and environmental DNA.

Keywords

Acknowledgement

본 논문은 정부(환경부)의 재원으로 국립생물자원관의 지원을 받아 수행하였습니다(NIBR202105102).

References

  1. Acevedo P., Vicente J., Hofle U., Cassinello J., Ruiz-Fons F. and Gortazar C. 2007. Estimation of European wild boar relative abundance and aggregation: a novel method in epidemiological risk assessment. Epidemiology & Infection 135(3): 519-527. https://doi.org/10.1017/S0950268806007059
  2. Alexander, N. S., Massei, G., & Wint, W. (2016). The European distribution of Sus scrofa. Model outputs from the project described within the poster-where are all the boars? An attempt to gain a continental perspective. Open Health Data, 4(1).
  3. An DM and Kim MS. 2003. Environment Friendly Urban Open Space Planning - Enhancing the Connectivity of Habitats in Seoul, Korea. Journal of the Korean Institute of Landscape Architecture. 31(1): 34-41. (in Korean with English summary)
  4. An SP, Lee JM and Kim DS. 2018. Design and Implementation of Mobile Platform for Wildlife Monitoring System. Proceedings of Symposium of the Korean Institute of communications and Information Sciences. 765-766. (in Korean with English summary)
  5. Baldassarre G. A. and E. G. Bolen. . 1994. . Waterfowl Ecology and Management. New York: John Wiley, New York.
  6. Choi YS, Hur WH, Kim SH, Kang SG, Kim JH, Kim HJ, Son JS, Park JY, Yi JY, Kim CH, Kang JH and Han SH. 2012. Population Trends of Wintering Ducks in Korea.. The Korean Journal of Ornithology. 19(3): 185-200.
  7. Fischer J. and Lindenmayer D. B. 2007. Landscape modification and habitat fragmentation: a synthesis. Global Ecology and Biogeography. 16(3): 265-280. https://doi.org/10.1111/j.1466-8238.2007.00287.x
  8. Gibson L. A., Wilson B. A., Cahil D.M. and Hil J. 2014. Modeling habitat suitabilty of the swamp antechinus (Antechinus minimus maritmus) in the coastal heathlands of southern Victoria, Australia.. Biological Conservation. 17(2): 143-150. https://doi.org/10.1016/0006-3207(80)90044-0
  9. Gonzalez L. F., Montes G. A., Puig E., Johnson S., Mengersen K. and Gaston K. 2016. Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation. Sensors. 16(1): 97. https://doi.org/10.3390/s16010097
  10. Gray M. J., Chamberlain M. J., Buehler D. A. and Sutton W. B. 2013. Wetland Wildlife Monitoring and Assessment. Wetland Techniques. 2: 265-318.
  11. Hauger A. N., Hollis-EtterK. M., Etter E. R., Roloff G. J. and Mahon A. R. 2020. Use of environmental DNA(eDNA) in streams to detect feral swine(Sus scrofa). PeerJ 8: 1-15.
  12. Jo T., Arimoto M., Murakami H., Masuda R. and Minamoto T. 2019. Particle size distribution of environmental DNA from the nuclei of marine fish. Environ. Sci. Technol. 53(16): 9947-9956. https://doi.org/10.1021/acs.est.9b02833
  13. Kang BC. 2017. Zoonosis and the Future of Mankind. Health and Social. 7: 12-21. (in Korean with English summary)
  14. Kim GW and Song YK. 2021. Identification of Freshwater Fish Species in Korea Using Environmental DNA Technique - From the Experiment at the Freshwater Fish Ecological Learning Center in Yangpyeong, Gyeonggi Do. J. Environ. Impact Assess. 30(1): 1~12. (in Korean with English summary) https://doi.org/10.14249/EIA.2021.30.1.1
  15. Kim JH, Jo HB, Chang MH, Woo SH, Cho YH and Yoon JD. 2020. Application of Environmental DNA for Monitoring of Freshwater Fish in Korea. KJEE 53(1): 63-72. (in Korean with English summary) https://doi.org/10.11614/KSL.2020.53.1.063
  16. Kim KD, Kil JH, Choi BJ, Suh MH, Koh KS and Choi DI. 1998. The conditions of Fragmentation of Ecosystem and Ecological corridor building through the analysis of Environmental Impact Statements. Journal of Environmental Impact Assessment. 7(2): 15-26.
  17. Kim WM, Kim SY, Park IS, Lee HJ, Kim KT, Kim Y, Kim HJ, Kwak MH, Lim TY, Park C and Song WK. 2020. Review and application of environmental DNA (eDNA) investigation of terrestrial species in urban ecosystem. J. Korean Env. Res. Tech. 23(2): 69-89. (in Korean with English summary)
  18. Kim WR, An HC, Song JC and Lee JH. 2001. The roadkill Damage of Wild animal by fragmentation of Habitat in Gyeongsangnam-do province. J. Agric. Tech. Res. Inst. 14: 97-110. (in Korean with English summary)
  19. Kim YJ, Han BH and Park SC. 2015. A Study on the monitoring and management for Alternative Habitats of Kaloula borealis at the University of Seoul. Proceedings of the Korean Institute of Landscape Architecture Conference. 2015(1): 121-122. (in Korean with English summary)
  20. Korea National Park Research Institute. 2014. . Investigation on Natural Resources(Terrestrial) in Hallyeohaesang National Park. Research Report of Korea National Park.
  21. Lee DK, Yi HY and Kim EY. 2007. Analysis of Fragmentation and Heterogeneity of Tancheon Watershed by Land Development Projects. J. Korean Env. Res. & Reveg. Tech. 10(6): 120-129. (in Korean with English summary)
  22. Lee KJ and Han BH. 2002. Planting Plan of Ecological Corridor at Destroyed Mountain Area as a Result of Road Construction. Kor. J. Env. Eco. 16(3): 321-337. (in Korean with English summary)
  23. Lee MH. 2011. Present and Future of R&D Responding to Domestic Animal Disease to Reinforce Korean Social Infrastructure. (in "SCIENCE & TECHNOLOGY POLICY(182)"). Science and Technology Policy Institute. pp. 3-16.
  24. Lee SG, Kim NC and Shin JH. 2014. Population Change of Each Ardeidae Species in Damaged Habitats of Development Area. J. Korean Env. Res. Tech. 17(1): 147-162. (in Korean with English summary)
  25. Lee SM, Lee EJ, Park HB and Seo CW. 2018. Factors affecting Crop Damage by the Wild Boar (Sus scrofa): A case study in Geochang County, Gyeongnam Province, Korea. Korean J. Environ. Ecol. 32(2): 140-146. (in Korean with English summary) https://doi.org/10.13047/KJEE.2018.32.2.140
  26. Leempoel K., Hebert T. and Hadly E. A. 2020. comparison of eDNA to camera trapping for assessment of terrestrial mammal diversity. Proceedings of the Royal Society. B, Biological sciences. 287(1918): 20192353-20192353. https://doi.org/10.1098/rspb.2019.2353
  27. Lyet A., Pellissier L., Valentini A., Dejean T., Hehmeyer A. and Naidoo R. 2021. eDNA sampled from stream networks correlates with camera trap detection rates of terrestrial mammals. Scientific Reports. 11(11362).
  28. Meriggi A., Lombardini M., Milanesi P., Brangi A., Lamberti P. and Giannini F. 2016. Management of wild boar in protected areas: the case of Elba Island. Problematic Wildlife: 229-251.
  29. Ministry of Environment. 2020. Enforcement Regulation of the Wildlife Protection and Management Act
  30. Munnangi S. K. and Paruchuri P. 2020. Improving Wildlife Monitoring using a Multi-criteria Cooperative Target Observation Approach. The Hawaii International Conference on System Sciences.
  31. National Institute of Biological Resources. 2019. A study for efficient management of native wild boars (first year).
  32. National Institute of Biological Resources. 2020. Wildlife Survey (2020).
  33. Penas J., Benito B., Lorite J., Ballesteros M., Canadas E. M. and Martinez-Ortega M. 2011. Habitat Fragmentation in Arid Zones: A Case Study of Linaria nigricans Under Land Use Changes (SE Spain). Environmental Management (2011) 48: 168-176. https://doi.org/10.1007/s00267-011-9663-y
  34. Pilliod, D.S., Goldberg, C.S., Arkle, R.S. and Waits, L.P. 2014. Factors influencing detection of eDNA from a stream-dwelling amphibian. Molecular Ecology Resources, 14(1), pp.109-116. https://doi.org/10.1111/1755-0998.12159
  35. Sales, N. G., Wangensteen, O. S., Carvalho, D. C., & Mariani, S. 2019. Influence of preservation methods, sample medium and sampling time on eDNA recovery in a neotropical river. Environmental DNA, 1(2).
  36. Seo HM. 2020. Bird collision with transparent structures in the Republic of Korea: current status and annual mortality estimates. Master dissertation, Seoul National University.
  37. Sin SA. 2015. A Certificate system for Animal Well-being Poultry Farm. (in "Korean Poultry journal"). Seoul: Korea Poultry Assosiation. 47(3). pp. 144-147.
  38. Song YK, Kim JH, Won SY and Park C. 2019. Possibility in identifying species composition of fish communities using the environmental DNA metabarcoding technique - with the preliminary results at urban ecological streams. J. Korean Env. Res. Tech. 22(6): 125-138. (in Korean with English summary)
  39. Staley, Z. R., Chuong, J. D., Hill, S. J., Grabuski, J., Shokralla, S., Hajibabaei, M., & Edge, T. A. 2018. Fecal source tracking and eDNA profiling in an urban creek following an extreme rain event. Scientific reports, 8(1), 1-12.
  40. Theobaldd D. M., Miller J. R. and Hobbs N. T. 1997. Estimating the cumulative effects of development on wildlife habitat. Landscape and Urban Planning. 39: 25-36. https://doi.org/10.1016/S0169-2046(97)00041-8
  41. Ushio M., Fukuda H., Inoue F., Makoto K., Kishida O., Sato K., Murata K., Mikaido M., Sado M, Sato Y., Takeshita M., Iwasaki W., Yamanaka H., Kondoh M. and Miya M. 2017. Environmental DNA enables detection of terrestrial mammals from forest pond water. Molecular ecology resources. 17(6): 63-75.
  42. Valentin R. E., Fonseca D. M., Gable S., Kyle K. E., Hamilton G. C., Nielsen A. L. and Lockwood J. L. 2020. Moving eDNA surveys onto land: Strategies for active eDNA aggregation to detect invasive forest insects. Molecular ecology resources. 20(3): 746-n/a. https://doi.org/10.1111/1755-0998.13151
  43. XIAO WH, ZHOU QS, ZHU CD, WU DH and XIAO ZS. 2020. Advances in techniques and methods of wildlife monitoring. Chinese Journal of Plant Ecology 44 (4): 409-417. https://doi.org/10.17521/cjpe.2019.0165
  44. http://data.nsdi.go.kr/
  45. http://egis.me.go.kr
  46. http://jr1000ecocenter.nowon.kr
  47. https://www.naturing.net
  48. https://www.nie-ecobank.kr
  49. https://www.snu-wildlife.org/%EC%A7%80%EC%9B%90%EA%B3%B5%EA%B3%A0