본 연구는 환경인자를 이용하여 우리나라에 분포하는 주요 침엽수종(중부지방소나무, 강원지방소나무, 낙엽 송, 잣나무)의 지위지수 추정식을 개발하고 적지면적을 추정하기 위해 수행하였다. 이를 위해 산림입지도와 산림기 후도로부터 산림생산력에 영향을 미칠 것으로 판단되는 43개 환경인자를 도출한 후, 최적 조합에 의해 수종별 지위 지수 추정식을 조제하였다. 최종 수종별 지위지수 추정식에는 각각 6개의 환경인자가 독립변수로 사용되었으며, 경 사형태, 유효 토심, 연 평균기온, 연 최고기온, 연 최저기온, 그리고 생장기간 동안의 총강수량 등의 변수가 지위지 수 추정에 가장 영향을 미치는 것으로 나타났다. 수종별 지위지수 추정식의 설명력을 나타내는 결정계수는 0.36~0.56 의 범위에 있는 것으로 분석되었으며, 모형의 평균편의, 정도, 표준오차의 3가지 평가통계량에 근거하여 검증을 실 시한 결과 비교적 지위 추정능력이 높은 것으로 판명되었다. 또한 본 연구에서는 수종별 지위지수 추정식을 이용하 여 각 수종의 적지면적을 산출하고 적지분포를 도해하였다.This study was conducted to develop site index equations and to estimate productive areas for major coniferous species in Korea such as Pinus densiflora Sieb. et. Zucc, Pinus densiflora for. erect, Larix leptolepis and Pinus koraiensis using environmental factors. Using the large data set from both a digital forest site map and a climatic map, a total of 43 environmental factors including 15 climatic variables were regressed on site index by tree species to develop site index equations. Six environmental factors by species were selected as independent variables in the final site index equations. The result showed that the coefficients of determination for site index equations by species were ranged from 0.36 to 0.56, which seem to be relatively low but good enough for the estimation of forest stand productivity. The site index equations developed in this study were also verified by three evaluation statistics such as the estimation bias of model, precision of model, and mean square error of measurement. According to the evaluation statistics, it was found that the site index equations by species fitted well to the test data sets with relatively low bias and variation. As a result, it was concluded that the site index equations by species were well capable of estimating site quality. Based on the site index equations, the productive areas by species for all forest areas were estimated by applying GIS technique to the digital forest site map and climate map. In addition, the distribution of productive areas by species was illustrated by using GIS technique.