DOI QR코드

DOI QR Code

Identification of Bird Community Characteristics by Habitat Environment of Jeongmaek Using Self-organizing Map - Case Stuty Area Geumnamhonam and Honam, Hannamgeumbuk and Geumbuk, Naknam Jeongmaek, South Korea -

자기조직화지도를 활용한 정맥의 서식지 환경에 따른 조류 군집 특성 파악 - 금남호남 및 호남정맥, 한남금북 및 금북정맥, 낙남정맥을 대상으로 -

  • 황종경 (충남대학교 대학원 산림자원학과) ;
  • 강태한 (한국환경생태연구소) ;
  • 한승우 (한국환경생태연구소) ;
  • 조해진 (한국환경생태연구소) ;
  • 남형규 (국립생물자원관 국가철새연구센터) ;
  • 김수진 (국립산림과학원 산림생태연구과) ;
  • 이준우 (충남대학교 산림환경자원학과)
  • Received : 2021.06.21
  • Accepted : 2021.07.26
  • Published : 2021.08.31

Abstract

This study was conducted to provide basic data for habitat management and preservation of Jeongmaek. A total of 18 priority research areas were selected with consideration to terrain and habitat environment, and 54 fixed plots were selected for three types of habits: development, valley, and forest road and ridge. The survey was conducted in each season (May, August, and October), excluding the winter season, from 2016 to 2018. The distribution analysis of birds observed in each habitat type using a self-organizing map (SOM) classified them into a total of four groups (MRPP, A=0.12, and p <0.005). The comparative analysis of the number of species, the number of individuals, and the species diversity index for each SOM group showed that they were all the highest in group III (Kruskal-Wallis, the number species: x2 = 13.436, P <0.005; the number of individuals: x2 = 8.229, P <0.05; the species diversity index: x2 = 17.115, P <0.005). Moreover, the analysis by applying the land cover map to the random forest model to examine the index species of each group and identify the characteristics of the habitat environment showed a difference in the ratio of the habitat environment and the indicator species among the four groups. The index species analysis identified a total of 18 bird species as the indicator species in three groups except for group II. When applying the random forest model and indicator species analysis to the results of classification into four groups using the SOM, the composition of the indicator species by the group showed a correlation with the habitat characteristics of each group. Moreover, the distribution patterns and densities of observed species were clearly distinguished according to the dominant habitat for each group. The results of the analysis that applied the SOM, indicator species, and random forest model together can derive useful results for the characterization of bird habitats according to the habitat environment.

본 연구는 정맥의 서식지 관리 및 보전을 위한 기초자료를 제공하고자 수행하였다. 18개의 중점조사지역에서 지형, 서식지 환경을 고려하여 각 지점별로 개발지, 계곡부, 임도 및 능선 3가지 서식지유형으로 총 54개의 고정조사구를 선정하였다. 조사는 2016년부터 2018년까지 겨울철을 제외한 계절별(5월,8월, 10월)로 수행하였다. 서식지 유형별로 관찰된 조류를 자기조직화지도(SOM)를 활용하여 분포 패턴을 분석한 결과, 총 4개의 그룹으로 분류되었다(MRPP, A=0.12, p <0.005). 자기조직화지도 그룹별 종수와 개체수, 종다양도 지수를 비교분석한 결과 종수와 개체수, 종다양도 지수 모두 III번 그룹에 가장 높게 나타났다(Kruskal-Wallis, 종수: x2 = 13.436, P <0.005; 개체수: x2 = 8.229, P <0.05; 종다양도: x2 = 17.115, P <0.005). 또한 그룹별 지표종 분석과, 서식지 환경 특성을 파악하기 위해 토지피복도를 랜덤 포레스트 모델에 적용하여 분석한 결과, 4개 그룹간의 서식지환경이 구성하는 비율과 지표종에 차이를 보였다. 지표종 분석은 II번 그룹을 제외한 3그룹에서 총 18종의 조류가 지표종으로 확인되었다. 본 연구에서 자기조직화지도를 활용하여 4개 그룹으로 분류된 결과를 기초로 랜덤 포레스트 모델과 지표종 분석을 적용하였을 때 그룹별 지표종 구성과 그룹별 서식지 특성과 상호 연관성을 보였다. 또한 그룹별 우점하는 서식환경에 따라 관찰된 종의 분포패턴과 밀도가 뚜렷하게 구분이 되었다. 자기조직화지도와 지표종분석, 랜덤 포레스트 모델을 함께 적용한 분석은 서식지 환경에 따라 조류 서식 특징파악에 유용한 결과를 도출할 수 있을 것으로 판단된다.

Keywords

Acknowledgement

본 연구는 산림청의 정맥의 자원실태변화 조사 및 관리방안 연구(2015~2020), 금남호남, 호남정맥자원실태와 변화(국립산림과학원 연구자료 제 704호, 2016년), 한남금북, 금북정맥 자원실태와 변화(국립산림과학원 연구자료 제 767호, 2017년), 낙남정맥 자원실태와 변화(국립산림과학원 연구자료 제 805호, 2018년)의 일환으로 수행되었습니다. 이에 산림청 관계자 여러분께 감사 인사드립니다.

References

  1. Bae, M.J., Y. Kwon, S.J. Hwang, T.S. Cheon, H.J. Yang, I.S. Kwak, J.H. Park, S.A. Ham and Y.S. Park(2011) Relationships between three major stream assemblages and their environmental factors in multiple spatial scales. In Annales de Limnologie. International Journal of Limnology 47(Sp. 1): 91-105.
  2. Bottin, M., J.L. Giraudel, S. Lek and J. Tison-Rosebery(2014) diatSOM: A R-package for diatom biotypology using self-organizing maps. Diatom Research 29(1): 5-9. https://doi.org/10.1080/0269249X.2013.804447
  3. Cho, H.J.(2015) Potential Habitat Analysis and Preservation guide lines for Korean endangered raptorial by applying Species Distribution Model, MaxEnt: Focused on Goshawk, Eagleowl, Tawnyowl. Ph.D. dissertation, Jeonbuk National University, Korea, 232pp.
  4. Choi, C.Y., H.Y. Nam, W.H. Hur, W.S. Lee, H.J. Kim and G.Y. Hwang(2006) Edge Preference of Forest-dwelling Birds in the Temperate Deciduous Forests. J. Ecol. Field Biol. 29(3): 191-203. (in Korean with English abstract) https://doi.org/10.5141/JEFB.2006.29.3.191
  5. Chon, T.S.(2011) Self-organizing maps applied to ecological sciences. Ecological Informatics 6(1): 50-61. https://doi.org/10.1016/j.ecoinf.2010.11.002
  6. Cody, M.L.(1981) Habitat selection in birds: The roles of vegetation structure, competitors, and productivity. BioScience 31: 107-113. https://doi.org/10.2307/1308252
  7. Dufrene, M. and P. Legendre(1997) Species assemblages and indicator species: The need for a flexible asymmetrical approach. Ecological Monographs 67(3): 345-366. https://doi.org/10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2
  8. Erdenien, M.(1984) Bird communities and vegetation structure: I. Correlations and comparisons of simple and diversity indices. Oecologia 61: 277-284. https://doi.org/10.1007/BF00396773
  9. ESRI(2015) ArcGIS 10.3. 1 for Desktop.
  10. Foley, J.A. et al.(2005) Global consequences of land use. Science 309: 570-574. https://doi.org/10.1126/science.1111772
  11. Hamer, K.C., J.K. Hill, S. Benedick, N. Mustaffa, T.N. Sherratt and M. Maryati(2003) Ecology of butterflies in natural and selectively logged forests of northern Borneo: The importance of habitat heterogeneity. Journal of Applied Ecology 40(1): 150-162. https://doi.org/10.1046/j.1365-2664.2003.00783.x
  12. Han, S.W., S.D. Jin, E.H. Lim, S.H. Choi and J.W. Lee(2019) Change of bird's Home range according to Forest Road Construction in Mt. Minjujisan. Kor. J. Orni. 26(2): 116-121. (in Korean with English abstract) https://doi.org/10.30980/kjo.2019.12.26.2.116
  13. Hatchwell, B.J., D.E. Chamberlain and C.M. Perrins(1996) The reproductive success of Blackbirds Turbus merula in relation to habitat structure and choice of nest site. Ibis 138: 256-262. https://doi.org/10.1111/j.1474-919X.1996.tb04337.x
  14. Hwang J.K., S.W. Han, H.J. Cho, H.K. Nam, S.Y. Yoo, I.K. Kwon and J.W. Lee(2021) Analysis of Bird Community by Habitat Type in Nak-nam Jeongmaek. Korean J. Environ. Ecol. 35(2): 106-114. (in Korean with English abstract) https://doi.org/10.13047/KJEE.2021.35.2.106
  15. James, F.C. and N.O. Warmer(1982) Relationships between temperate forest bird communities and vegetation structure. Ecology 63: 159-171. https://doi.org/10.2307/1937041
  16. Karr, J.H. and R.R. Roth(1971) Vegetation Structure and Avian Diversity in Several New World Areas. American Naturalist 105: 423-435. https://doi.org/10.1086/282735
  17. Kim, J.S., J.R. Shin, H.S. Lee and T.H. Koo(2008) Effects of Habitat Environment on Bird Community in Forest. Journal of Environmental Policy 7(3): 141-160. (in Korean with English abstract) https://doi.org/10.17330/JOEP.7.3.200809.141
  18. Kohonen, T.(1982) Self-organized formation of topologically correct feature maps. Biological Cybernetics 43(1): 59-69. https://doi.org/10.1007/BF00337288
  19. Kwon, Y.S., F. Li, N. Chung, M.J. Bae, S.J. Hwang, M.S. Byeon, S.J. Park and Y.S. Park(2012). Response of fish communities to various environmental variables across multiple spatial scales. International Journal of Environmental Research and Public Health 9(10): 3629-3653. https://doi.org/10.3390/ijerph9103629
  20. Lasne, E., B. Bergerot, S. Lek and P. Laffaille(2007) Fish zonation and indicator species for the evaluation of the ecological status of rivers: Example of the Loire basin (France). River Research and Applications 23(8): 877-890. https://doi.org/10.1002/rra.1030
  21. Lee, C.W., J.D. Jang, K.S. Jeong, D.K. Kin and G.J. Joo(2010) Patterning habitat preference of avifaunal assemblage on the Nakdong River estuary (South Korea) using self-organizing map. Ecological Informatics 5(2): 89-96. https://doi.org/10.1016/j.ecoinf.2009.09.014
  22. Lee, D.H., H.J. Kwon and H.K. Song(2008) Characteristics of Breeding Bird Community in Relation to Altitude and Vegetation in Jirisan National Park. Kor. J. Env. Eco. 22(5): 471-480. (in Korean with English abstract)
  23. Lee, W.S.(1996) The relationship between Breeding bird community and forest structure at a deciduous broad-leaved forest in Hokkaido, Japan. Journal of Korean Ecology 19(4): 353-361. (in Korean with English abstract)
  24. Lee, W.S., T.H. Goo and J.Y. Park(2014) A Field Guide to the Birds of Korea. LG Evergreen Foundation, 383pp
  25. Lek, S. and J.F. Guegan(1999) Artificial neural networks as a tool in ecological modelling, an introduction. Ecological Modelling 120(2): 65-73. https://doi.org/10.1016/S0304-3800(99)00092-7
  26. Louw, J.H. and M.S. Scholes(2002) Forest site classification and evaluation: A South African perspective. Forest Ecology and Management 171: 153-168. https://doi.org/10.1016/S0378-1127(02)00469-3
  27. Nakamura, S., H. Hashimoto and O. Sootome(1984) Breeding ecology of Motacilla alba and M. grandis and their interspecific relationship. J. Yamashina Inst. Ornith. 16: 114-135. https://doi.org/10.3312/jyio1952.16.114
  28. Nam, H.K., S.H. Choi and J.C. Yoo(2015) Patterning Waterbird Assemblages on Rice Fields Using Self-Organizing Map and Random Forest. Korean J Environ Agric. 34(3): 168-177. (in Korean with English abstract) https://doi.org/10.5338/KJEA.2015.34.3.26
  29. Nam, S.N., S.H. Lee, J.R. Kim, J.H. Lee and J.I. Oh(2019) Real-time monitoring sensor displacement for illicit discharge of wastewater: Identification of hotspot using the self-organizing maps. Journal of Korean Society of Water and Wastewater 33(2): 151-158. (in Korean with English abstract) https://doi.org/10.11001/jksww.2019.33.2.151
  30. Neave, H.M., R.B. Cunningham, T.W. Norton and H.A. Nix(1996) Biological inventory for conservation evaluation III. Relationships between birds, vegetation and environmental attributes in southern Australia. Forest Ecology and Management 85: 197-218. https://doi.org/10.1016/S0378-1127(96)03759-0
  31. O'Connell, R.M., M.J. Ward, C. Onoufriou, I.J. Winfield, G. Harris, R. Jones, M.L. Yallop and A.F. Brown(2007) Integrating multi-scale data to model the relationship between food resources, waterbird distribution and human activities in freshwater systems: Preliminary findings and potential uses. Ibis 149(Sp. 1): 65-72. https://doi.org/10.1111/j.1474-919X.2007.00659.x
  32. Olden, J.D., N.L. Poff and B.P. Bledsoe(2006) Incorporating ecological knowledge into ecoinformatics: An example of modeling hierarchically structured aquatic communities with neural networks. Ecological Informatics 1(1): 33-42. https://doi.org/10.1016/j.ecoinf.2005.08.003
  33. Paek, W.K., H.S. Lee, I.K. Kim, S.W. Han, S.W. Lee, M.J. Song and J.W. Lee(2003) Study of Avifauna and Habitat Preference and Management from Manbokdae to Siribong in Baekdudaegan. Korean Journal of Environment and Ecology 16(4): 409-420. (in Korean with English abstract)
  34. Park, I.H., Y.H. Kim and K.J. Cho(2012) Bird Species Diversity Analysis According to the Type of Forest Vegetation. J. Korean Env. Res. Tech. 15(6): 43-52. (in Korean with English abstract)
  35. Park, Y.S. and Y.J. Chung(2006) Hazard rating of pine trees from a forest insect pest using artificial neural networks. Forest Ecology and Management 222(1): 222-233. https://doi.org/10.1016/j.foreco.2005.10.009
  36. Park, Y.S., J. Chang, S. Lek, W. Cao and S. Brosse(2003) Conservation strategies for endemic fish species threatened by the Three Gorges Dam. Conservation Biology 17(6): 1748-1758. https://doi.org/10.1111/j.1523-1739.2003.00430.x
  37. Park, Y.S., R. Cereghino, A. Compin and S. Lek(2003) Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters. Ecological Modelling 160(3): 265-280. https://doi.org/10.1016/S0304-3800(02)00258-2
  38. Park, Y.S., Y.J. Chung and Y.S. Moon(2013) Hazard ratings of pine forests to a pine wilt disease at two spatial scales (individual trees and stands) using self-organizing map and random forest. Ecological Informatics 13: 40-46. https://doi.org/10.1016/j.ecoinf.2012.10.008
  39. Perrins, C.M.(1991) Tits and their caterpillar food supply. Ibis 133: 49-54. https://doi.org/10.1111/j.1474-919X.1991.tb07668.x
  40. Piscart, C., B. Bergerot, P. Laffaille and P. Marmonier(2010) Are amphipod invaders a threat to regional biodiversity? Biological Invasions 12(4): 853-863. https://doi.org/10.1007/s10530-009-9506-4
  41. R Development Core Team(2018) R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. http://www.R-project.org/
  42. Rhim, S.J. and W.S. Lee(1998) Relationship between habitat environment and small mammal density at altitude in Mt. Jirisan region. Seoul National Univ. Academic Forest Research Report 34: 37-47.
  43. Rotemberry, J.T. and J.A. Wiens(1991) Weather and reproductive variation in shrubsteppe Sparrows: A hierchical analysis. Ecology 72: 1325-1335. https://doi.org/10.2307/1941105
  44. Shannon, C.E. and W. Weaver(1949) The mathematical theory of communication. Univ. of Illinois Press, Urbana-Champaign, 117pp.
  45. Vesanto, J. and E. Alhoniemi(2000) Clustering of the self-organizing map. IEEE Trans. Neural Netw. 11(3): 586-600. https://doi.org/10.1109/72.846731
  46. Vitousek, P.M., H.A. Mooney, J. Lubchenco and J.M. Melillo (1997) Human domination of Earth's Ecosystem. Science 277: 494-499. https://doi.org/10.1126/science.277.5325.494
  47. Wilcox, B.A. and D.O. Mruphy(1985) Conservation strategy: The effects of fragmentation on extinction. American Naturalist.
  48. Yu, J.P., S.D. Jin, H.S. Kim, W.K. Paek and H.K. Song(2010) Characteristics of Birds Community in Relation to Altitude, Direction of Slope and Season in Deogyusan National Park. The Korean Journal of Ornithology 17(4): 359-385. (in Korean with English abstract)