사유림 소유규모의 영세성과 분산성이 심각하여 합리적인 사유림경영이 어려워져 임업소득의 부진현 상이 계속됨에 따라 과학적이고 체계적인 사유림경영규모화 모델이 필요한 실정이다. 따라서 본 연구는 대리경영제도에 계약한 임지를 대상으로 설문조사를 통하여 사유림 산림경영에 관한 전반적인 현황파악 과 규모화 산림경영을 위한 중요도와 성취도를 파악하였다. 대규모 산림경영을 위해 요구되는 사항의 신뢰도 분석결과 크론바흐 알파계수(cronbach’s alpha coefficient)는 0.991로 나타났다. 중요도-성취 도 분석(IPA)결과 인력 및 임업장비의 보급체계 확립이 우선시정이 필요하고, 국고지원 확대에 따른 초 기 투자비용 절감이 지속적 노력이 필요하다고 분석되었다. 소득사업 활동의 신뢰도 분석결과 크론바흐 알파계수는 0.991로 나타났고, 중요도-성취도 분석(IPA)결과 수익간벌 등에 의한 우량 대경목 생산에 따른 소득과 단기소득 임산물을 통한 소득(산양삼, 더덕, 고사리 등)이 지속적 노력이 필요하다고 분석 되었다. 소득분배 방안의 신뢰도 분석결과는 크론바흐 알파계수는 0.986으로 나타났고, 중요도 분석결 과 계약면적에 따른 소득분배가 가장 높게 분석되었다. 본 연구에서 나타난 중요도-성취도 분석결과를 현재의 대리경영제도에 적용한다면 산주의 의견이 수렴된 보다 합리적인 산림경영이 가능할 것으로 판 단된다.

This study aimed to improve the level of satisfaction and service quality of a forest experience education program for vulnerable social groups by administering a survey problems of the program and suggested improvements. 428 participants in the program. Reliability analysis of the survey yielded values of, Cronbach’s α value was higher than 0.8 for all items, indicating very high reliability. Importance-performance analysis (IPA), a method of measuring and comparing the degree of satisfaction, found two factors: “first need for correction” which included “diversity of programs” and “professionalism of programs”; and “the need for sustained effort” which included “benefits of programs”, “the role of program instructors” and “the interest of programs”. Previously, forest experience education focused on programs involving base expansion and promotion, or quantitative expansion education. Therefore, this study is meaningful in providing basic data on forest experience education for vulnerable social groups.

This study was to evaluate the utilization of terrestrial light detection and ranging for forest inventory in coniferous forests. Heights and diameter of the stand trees were measured manually using the traditional measurement method and the method using terrestrial LiDAR. The results of two methods were compared and analyzed to evaluate accuracy and feasibility. The terrestrial LiDAR used fixed and handy types to compare the accuracy between different operational methods. Comparative analyses used a paired t-test and Bland-Altman plot analysis. In the case of tree heights, the average of difference between the traditional method and terrestrial LiDAR for each plot was 0.81 m, -0.07 m, and 0.13 m for fixed type; 2.88 m, 1.19 m, and 0.93 m for the handy type. In the case of tree diameter at breast height, the average value of the difference between traditional methods and terrestrial LiDAR for each plot was 0.13 cm, -0.66 cm, and –0.03 cm for fixed type; 2.36 cm, 2.13 cm, and 1.92 cm for the handy type. The values from the method using the fixed type was highly consistent with that using the traditional measurement methods; the average difference was closer to zero. The crown density influences the precision of the height measurement using terrestrial LiDAR in coniferous forests. Therefore, future studies should focus on verifying the a