Prediction of Land Use/Land Cover Change in Forest Area Using a Probability Density Function
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참고문헌
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초록
This study aimed to predict changes in forest area using a probability density function, in order to promote effective forest management in the area north of the civilian control line (known as the Minbuk area) in Korea. Time series analysis (2010 and 2016) of forest area using land cover maps and accessibility expressed by distance covariates (distance from buildings, roads, and civilian control line) was applied to a probability density function. In order to estimate the probability density function, mean and variance were calculated using three methods: area weight (AW), area rate weight (ARW), and sample area change rate weight (SRW). Forest area increases in regions with lower accessibility (i.e., greater distance) from buildings and roads, but no relationship with accessibility from the civilian control line was found. Estimation of forest area change using different distance covariates shows that SRW using distance from buildings provides the most accurate estimation, with around 0.98-fold difference from actual forest area change, and performs well in a Chi-Square test. Furthermore, estimation of forest area until 2028 using SRW and distance from buildings most closely replicates patterns of actual forest area changes, suggesting that estimation of future change could be possible using this method. The method allows investigation of the current status of land cover in the Minbuk area, as well as predictions of future changes in forest area that could be utilized in forest management planning and policymaking in the northern area.
Abstract
This study aimed to predict changes in forest area using a probability density function, in order to promote effective forest management in the area north of the civilian control line (known as the Minbuk area) in Korea. Time series analysis (2010 and 2016) of forest area using land cover maps and accessibility expressed by distance covariates (distance from buildings, roads, and civilian control line) was applied to a probability density function. In order to estimate the probability density function, mean and variance were calculated using three methods: area weight (AW), area rate weight (ARW), and sample area change rate weight (SRW). Forest area increases in regions with lower accessibility (i.e., greater distance) from buildings and roads, but no relationship with accessibility from the civilian control line was found. Estimation of forest area change using different distance covariates shows that SRW using distance from buildings provides the most accurate estimation, with around 0.98-fold difference from actual forest area change, and performs well in a Chi-Square test. Furthermore, estimation of forest area until 2028 using SRW and distance from buildings most closely replicates patterns of actual forest area changes, suggesting that estimation of future change could be possible using this method. The method allows investigation of the current status of land cover in the Minbuk area, as well as predictions of future changes in forest area that could be utilized in forest management planning and policymaking in the northern area.
참고문헌 (21)
- Choi JC., "Prediction of timber production by species replacement model", J Korean Forest Soc, 77, pp.356~357 (1988)
- In CG., "A study on the systematic management measures of natural resources in the demilitarizes zone -Based on the demilitarizes zone in Gyeonggi-Do-", MS, pp.2013
- Hiroshima T., "Study on the methodology of calculating mean and variance of felling age in forest planning", Journal of Forest Planning, 40(2), pp.139~149 (2006)
- 김찬수, "위성영상과 임상통계를 이용한 충남해안지역의 기후변화에 따른 임상 변화", 환경영향평가, 20(4), pp.523~538 (2011), 한국환경영향평가학회
- 김창환, "강원도 접경지역 지형경관과 보전방안", 한국자연보호학회지, 4(2), pp.81~88 (2010), 한국자연보호학회
- 김지혜, "그리드 기반 맵에서 꼭지점 정보를 이용한 휴리스틱의 설계", 한국컴퓨터정보학회논문지, 20(1), pp.85~92 (2015), 한국컴퓨터정보학회
- 김근형, "온라인 고객리뷰 분석을 통한 시장세분화에 텍스트마이닝 기술을 적용하기 위한 방법론", 한국콘텐츠학회 논문지, 9(8), pp.272~284 (2009), 한국콘텐츠학회
- 김민아, "산지전용타당성조사제도에서 산림파편화지수의 고려방안 연구", 한국환경복원기술학회지, 16(4), pp.53~63 (2013), 한국환경복원기술학회[DOI]
- 김상욱, "식생지수를 이용한 DMZ의 생태적 영향권 조사", 한국지리정보학회지, 5(4), pp.24~34 (2002), 한국지리정보학회
- Kurokawa Y, "A study on the forecasting of the forest resources using the gentan probability theory : a case analysis of man-made private forest at Chizu in Tottori Prefecture. Bulletin of the Faculty of Agriculture", Tottori University, 53(2000), pp.35~42 (2000)
- 이동근, "토지이용변화에 따른 식생 및 토양의 이산화탄소 저감잠재량 분석", 한국환경복원기술학회지, 12(2), pp.95~105 (2009), 한국환경복원기술학회
- 이영근, "기후변화가 신갈나무의 적지분포에 미치는 영향", 한국산림과학회지, 103(4), pp.605~612 (2014), 한국산림과학회[DOI]
- 나현섭, "원격탐사와 공간통계 기법을 이용한 토지피복 분류 및 패턴 분석 - 강원도 DMZ일원을 대상으로 -", 한국지리정보학회지, 18(4), pp.100~118 (2015), 한국지리정보학회[DOI]
- Park EJ, "Ecosystem Destroying Factors and the Mitigation of Impacts in the Civilian Control Zon", Gyeonggi Res Ins Basic Res, 11, pp.1~169 (2011)
- Park EJ, "Overseas cases in the divided and confronted areas and implications of the DMZ on the Korean", Gyeonggi Research Institute Issue &Diagnosis, 44, pp.1~25 (2012)
- Seo CH, "Landcover analysis of DMZ and the vicinity using remote sensing and GIS techniques", J Environ Impact Assess, 7, pp.11~22 (1998)
- 성현찬, "비무장지대(DMZ) 인근의 훼손지 유형 분석 및 복원방향", 한국환경복원기술학회지, 19(1), pp.185~194 (2016), 한국환경복원기술학회[DOI]
- 성현찬, "비무장지대(DMZ) 훼손지 데이터베이스 구축연구", 한국환경복원기술학회지, 20(1), pp.143~150 (2017), 한국환경복원기술학회
- Suzuki T.., "Applications of stochastic process in forestry(I)", Journal of Japanese Forest Society, 54(7), pp.234~243 (1972)
- Suzuki T., "Application of stochastic process in forestry(II)", Journal of Japanese Forest Society, 55(7), pp.234~237 (1973)
- Turner BL 2nd, "The emergence of land change science for global environmental change and sustainability", Proc Natl Acad Sci U S A Dec, 104, pp.20666~20671 (2007)