환경영향평가 (Journal of Environmental Impact Assessment)

한국환경영향평가학회 (Korean Society of Environmental Impact Assessment)
권호 표지
DOI QR코드

DOI QR Code

환경영향평가에서 조류 종풍부도 변화에 미치는 요인 고찰 연구

Study on the Factors Affecting the Richness Index of Bird Species in Environmental Impact Assessment

  • 문현빈 (서울대학교 지리교육과) ;
  • 김은섭 (서울대학교 협동과정 조경학) ;
  • 이동근 (서울대학교 농업생명과학연구원)
  • Hyunbin Moon (Department of Geography Education, Seoul National University) ;
  • Eunsub Kim (Interdisciplinary Program and Life Science, Graduate School of Environmental Studies, Seoul National University) ;
  • Dongkun Lee (Department of Landscape Architecture and Rural Systems Engineering, Seoul National University)
  • 투고 : 2024.02.05
  • 심사 : 2024.04.23
  • 발행 : 2024.04.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

개발사업으로 인한 서식지 파괴의 심각성이 대두되면서 생물다양성을 보전하기 위해 환경영향평가(EIA)의 중요성은 커지고 있다. 경관스케일에서 개발 요인과 주변 환경요인에 따른 생물다양성 영향을 정량적으로 평가하기 위해 선행연구들이 진행되고 있으나, 개발사업을 기준으로 생물다양성 감소에 영향을 미치는 요인에 대한 연구는 미흡한 실정이다. 본 연구는 선행연구를 통해 유효하다고 밝혀진 독립변수(사업 면적, 사업 유형, 고도, 생태·자연도, 녹지와의 이격거리, 보호구역과의 이격거리)들을 다중클래스 로지스틱 회귀분석, T-test, 사업 유형 검토분석을 통해 종풍부도 변화에 유의미한 영향을 미치는지를 검토하였다. 연구 결과, 토지 피복 단위에서 생물다양성에 영향을 끼치는 것으로 밝혀진 요인 중 사업 규모와 환경영향평가 시 종풍부도 값만이 p-value=0.05 이하의 값을 보였다. 그리고 사업 유형의 경우, 체육시설의 설치, 에너지 개발, 산업입지 및 산업단지의 조성에서 조류의 생물다양성 감소가 크게 변화하는 것을 확인하였다. 본 연구를 통해 분석 규모에 따라 영향을 끼치는 변수에서의 차이가 발생할 수 있음을 확인하였기에, 환경영향평가에서 생물다양성 변화를 분석하기 위해서는 개발사업 단위에서의 지표 활용에 연구가 추가로 필요할 것이며, 타 생물종으로의 일반화를 위해 추가적인 연구가 필요할 것으로 사료된다.

As the seriousness of habitat destruction caused by development projects emerges, the importance of environmental impact assessment (EIA) is increasing to preserve biodiversity. In previous studies, research is being conducted to quantitatively evaluate the biodiversity impact of development factors and surrounding environmental factors on the landscape scale, but research on the factors affecting the reduction of biodiversity based on development projects is insufficient. This study examined whether independent variables (size of development project, type of the development, DEM, ecosystem and nature map, distance from the green land, distance from the protected area), which have been proven to effect biodiversity through the previous researches, have a significant effect on the change of richness index (RI) through multi-class logistic regression analysis, T-test, and analysis of the development type. As a result, only the size of development project and the first richness index in EIA showed p-value less than 0.05. And it was confirmed that the reduction in biodiversity was significantly changed in the following construction types: installation of sports facilities, energy development, and development of industrial location and industrial complex. Since the results of this study confirmed that the impact of the variables may be inconsistent depending on the analysis scale, additional study of necessary indicators at the development project is needed to analyze biodiversity changes in EIA accurately.

키워드

과제정보

본 결과물은 환경부의 재원으로 한국환경산업기술원의 ICT기반 환경영향평가 의사결정 지원 기술개발사업(2021003360002)의 지원을 받아 연구되었습니다.

참고문헌

  1. Araujo MB, Anderson RP, Marcia BA, Beale CM, Dormann CF, Early R, Garcia RA, Guisan A, Mariorano L, Naimi B, O'hara RB, Zimmermann NE, Rahbek C. 2019. Standards for distribution models in biodiversity assessments. Science Advances, 5(1).
  2. Bhuiyan MA, Jabeen M, Zaman K, Khan A, Ahmad J, Hishan SS. 2018. The impact of climate change and energy resources on biodiversity loss: Evidence from a panel of selected Asian countries. Renewable energy, 117: 324-340. https://doi.org/10.1016/j.renene.2017.10.054
  3. Cares RA, Franco AM, Bond A. 2023. Investigating the implementation of the mitigation hierarchy approach in environmental impact assessment in relation to biodiversity impacts. Environmental Impact Assessment Review, 102.
  4. Chang GJ. 2023. Biodiversity estimation by environment drivers using machine/deep learning for ecological management. Ecological Informatics, 78.
  5. Chapin III FS, Walker BH, Hobbs RJ, Hooper DU, Lawton JH, Sala OE, Tilman D. 1997. Biotic control over the functioning of ecosystems. Science, 277(5325): 500-504. https://doi.org/10.1126/science.277.5325.500
  6. Elmqvist T, Folke C, Nystrom M, Peterson G, Bengtsson J, Walker B, Norberg J. 2003. Response diversity, ecosystem change, and resilience. Frontiers in Ecology and the Environment, 1(9): 488-494. https://doi.org/10.1890/1540-9295(2003)001[0488:RDECAR]2.0.CO;2
  7. Faith DP. 2021. Valuation and appreciation of biodiversity: The "maintenance of options" provided by the variety of life. Frontiers in Ecology and Evolution, 9.
  8. Gallardo ALCF, Bond A. 2023. Delivering an analytical framework for evaluating the delivery of biodiversity objectives at strategic and project levels of impact assessment. Environmental Impact Assessment Review, 99.
  9. Gontier M, Balfors B, Mortberg U. 2006. Biodiversity in environmental assessment-current practice and tools for prediction. Environmental Impact Assessment Review, 26(3): 268-286. https://doi.org/10.1016/j.eiar.2005.09.001
  10. Isbell F, Gonzalez A, Loreau M, Cowles DS, Hector A, Mace GM, Wardle DA, O'Connor MI, Duffy JE, Turnbull LA, Thompson PL, Larigauderie A. 2017. Linking the influence and dependence of people on biodiversity across scales. Nature, 546(7656): 65-72. https://doi.org/10.1038/nature22899
  11. Jung HR, Lee HW, Yoo HS, Kwon YH, Noh TH, Park SH. 2003. A study on the Landscape Ecological Method in Environmental Impact Assessment. KEI Research Report, RE-23: 1-120. [Korean Literature] https://doi.org/10.1016/S0195-9255(02)00095-1
  12. Kim DY, Heo J, Kim CJ. 2010. Mapping Biodiversity throughoptimized selection of input variables in decision tree models. Journal of Environmental Impact Assessment, 20(5): 663-673. [Korean Literature]
  13. Kim ES, Mo YW, Park TY, Jeon YH, Choi JY, Lee DK. 2023. Analyzing the Impact of Species on Urban Development Using Meta Population Model. Journal of Environmental Impact Assessment, 32(2): 61-71.
  14. Kim JY, Kwon HS, Seo CW, Kim MJ. 2014. A nationwide analysis of mammalian biodiversity hotspots in South Korea. Journal of Environmental Impact Assessment, 23(6): 453-465. [Korean Literature] https://doi.org/10.14249/eia.2014.23.6.453
  15. Laurance WF, Peletier-Jellema A, Geenen B, Koster H, Verweij P, Van Dijck P, Van Kuijk M. 2015. Reducing the global environmental impacts of rapid infrastructure expansion. Current Biology, 25(7): R259-R262.
  16. Lee DK, Park C, Oh KS. 2010. Forest Patch Characteristics and Their Contribution to Forest-Bird Diversity Focus on Chungcheong Province Area-. Journal of the Korea Society of Environmental Restoration Technology, 13(5): 146-153. [Korean Literature]
  17. Li S, Yu D, Huang T, Hao R. 2022. Identifying priority conservation areas based on comprehensive consideration of biodiversity and ecosystem services in the Three-River Headwaters Region, China. Journal of Cleaner Production, 359.
  18. Mandai SS, de Souza MMP. 2021. Guidelines for the analysis of the inclusion of biodiversity in Environmental Impact Statements. Environmental Impact Assessment Review, 87.
  19. Ministry of Environment. 2023. Guide for the Preparation of Environmental Impact Assessment Reports and Related Documents. [Korean Literature]
  20. Noh BH, Yoon JH, Choi JK, Lee SW, Seo HJ. 2010. A Study on the Evaluation of the Habitat Environment of Legally Protected Wild Birds. Korea Environment Institute, 1-188. [Korean Literature]
  21. Oh JK, Chae HY, Song JY, Hong GP, Park MC, Jo SY, Lee SY, Jin KS, Kim JH, Park SL, Park C. 2019. 2019 National Park Bird Survey and Research Report. Korea National Park Research Institute Report [Korean Literature]
  22. Petrosillo I, Valente D, Pasimeni MR, Aretano R, Semeraro T, Zurlini G. 2019. Can a golf course support biodiversity and ecosystem services? The landscape context matter. Landscape Ecology, 34: 2213-2228.
  23. Qu Y, Zeng X, Luo C, Zhang H, Ni H. 2023. Prediction of wetland biodiversity pattern under the current land-use mode and wetland sustainable management in Sanjiang Plain, China. Ecological Indicators, 147.
  24. Rhee SS. 1997. A Study on the Number of Clusters in Cluster Analysis. Applied Scientific Research, 6(1): 217-229.
  25. Schmeller DS, Weatherdon LV, Loyau A, Bondeau A, Brotons L, Brummitt N, Geijzendorffer IR, Haase P, Kuemmerlen M, Martin CS, Mihoub JB, Rocchini D, Saarenmaa H, Stoll S, Regan EC. 2018. A suite of essential biodiversity variables for detecting critical biodiversity change. Biological Reviews, 93(1): 55-71. https://doi.org/10.1111/brv.12332
  26. Suarez-Rubio M, Leimgruber P, Renner SC. 2011. Influence of exurban development on bird species richness and diversity. Journal of Ornithology, 152: 461-471.
  27. Urban MC, Travis JM, Zurell D, Thompson PL, Synes NW, Scarpa A, Peres-Neto PR, Malchow AK, James PMA, Gravel D, Meester LD, Brown C, Bocedi G, Albert CH, Gonzalez A, Hendry AP. 2022. Coding for life: designing a platform for projecting and protecting global biodiversity. BioScience, 72(1): 91-104. https://doi.org/10.1093/biosci/biab099
  28. Williams KJ, Belbin L, Austin MP, Stein JL, Ferrier S. 2012. Which environmental variables should I use in my biodiversity model?. International Journal of Geographical Information Science, 26(11): 2009-2047. https://doi.org/10.1080/13658816.2012.698015
  29. Yoo JW, Lee YW, Lee CG, Kim CS. 2013. Effective prediction of biodiversity in tidal flat habitats using an artificial neural network. Marine environmental research, 83: 1-9.