한국농림기상학회지, 제 14권 제2호(2012) (pISSN 1229-5671, eISSN 2288-1859)
Korean Journal of Agricultural and Forest Meteorology, Vol. 14, No. 2, (2012), pp. 89~97
DOI: 10.5532/KJAFM.2012.14.2.089
ⓒ Author(s) 2014. CC Attribution 3.0 License.


환경요인에 의한 상수리나무와 신갈나무의 임지생산력 및 적지 추정

신만용(1), 성주한(2), 천정화(2)
(1)국민대학교 산림환경시스템학과, (2)국립산림과학원 산림생태연구과

(2012년 03월 30일 접수; 2012년 06월 28일 수정; 2012년 06월 30일 수락)

Estimating Forest Site Productivity and Productive Areas of
Quercus acutissima and Quercus mongolica
Using Environmental Variables

Man Yong Shin(1), Joo Han Sung(2), Jung Hwa Chun(2)
(1)Dept. of Forest, Environment and System, Kookmin Univ., Seoul 130-702, Korea
(2)Division of Forest Ecology, Korea Forest Research Institute, Seoul 130-712, Koera

(Received March 30, 2012; Revised June 28, 2012; Accepted June 30, 2012)

ABSTRACT
This study was conducted to estimate forest site productivity and productive areas of Quercus acutissima and Quercus mongolica using environmental factors including climatic variables. Using the data set from digital forest site map and forest climatic map, a total of 42 environmental variables were regressed on site index for developing the best site index equations for Quercus acutissima and Quercus mongolica. Five to six environmental factors by species were selected as independent variables in the best site index equations. For the site index equations, three evaluation statistics (i.e., mean difference, standard deviation of difference, and standard error of difference) were applied to the test data set for the validation of the results, The site index equations fitted well to the test data set 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. Finally, based on the site index equations, the productive areas by species were estimated by applying GIS technique to the digital forest maps. In addition, the distribution of productive areas by species was illustrated.

Keyword: Forest site productivity, Site index equation, Productive site, Climatic variables, Digital forest climatic map

MAIN

적요

우리나라의 자생 활엽수종 중에서 상수리나무와 신갈나무는 분포면적이나 자원으로서의 잠재적 효용성을 고려할 때 매우 중요한 수종이다. 본 연구는 다양한 환경인자를 독립변수로 하는 상수리나무와 신갈나무의 지위지수 추정식을 개발하고, 이에 근거한 수종별 적지를 추정하기 위해 수행하였다. 본 연구에서 개발한 상수리나무와 신갈나무의 수종별 최종 지위지수 추정식은 모두 5~6개의 환경인자에 의하여 지위지수를 추정하는 것으로 평가되었다.
수종별 지위지수 추정식에서 채택된 독립변수는 지형인자, 토양인자, 그리고 기후인자를 포괄하고 있어 임지생산력에 영향을 미치는 산림생태계의 특성을 비교적 잘 반영하고 있으며, 설명력을 나타내는 결정계수의 범위는 034~0.50인 것으로 나타났다. 이 결과는 임목의 생육에 다양한 입지조건과 생물환경 인자들이 복합적으로 작용하는 것을 고려하면 지위지수 추정에 큰 무리가 없는 것으로 평가된다. 이와 함께 본 연구에서 개발된 수종별 지위지수 추정식에는 그동안 반영하지 못하였던 기후인자를 독립변수에 포함시켰다는데 의의가 있다. 또한 본 연구에서는 수종별 지위지수 추정식에 근거하여 수종별 적지면적뿐만 아니라 적지의 공간적 분포를 파악하였다. 따라서 앞으로 기후변화 시나리오에 따른 수종별 적지분포의 변화를 예측할 수 있는 정보로 활용될 수 있을 것으로 기대된다.

REFERENCES

Arbatzis, A.A. and H. E. Burkhart, 1992: An evaluation of sampling methods and model forms for estimating height-diameter relationships in loblolly pine plantation. Forest Science 38(1), 192-198.

Belsley, D. A., E. Kuh, and R. E. Welsch, 1980: Regression diagnostics. John Wiley & Sons, New York, 292pp.

Corona, P., R. Scotti, and M. H. Kutner, 1988: Relationship between environmental factors and site index in Douglas-Fir plantation in central Italy. Forest Ecology and Management 110, 195-207.

Curt, T. M., B. Bouchaud, and G. Agrech, 2001: Predicting site index of Douglas-Fir plantations from ecological variables in the Massif Central area of France. Forest Ecology and Management 149, 61-74.crossref(new window)

Judge, G. G., R. C. Hill, W. E. Griffiths, H. Lutdepohl, and T. Lee, 1988: Introduction to the theory and practice of econometrics. John Wiley & sons. New York, 1024pp.

Kabrick, J. M., S. R. Shifley, R. G. Jensen., J. Fan, and R. Larsen, 2004: Factors associated with oak mortality in Missouri Ozak forest. USDA Forest Service General Technical Reports NE-316, 27-35.

Kim, I. H., M. Y. Shin, Y. C. Kim, and S. K. Chon, 2001: Evaluation of vegetative growth in a mature stand of Korean pine under simulated climatic condition. Journal of Agricultural and Forest Meteorology 3(2), 105-113. (in Korean with English abstract)

Kim, K. S., 1975: Agricultural Meteorology, Hyangmun Book Co., 331pp. (in Korean)

Koo, K. S., I. H., Kim, J. H. Jeong, H. K. Won, and M. Y. Shin, 2003: Estimation of site index by species in Gyungi and Chungcheong province using a digital forest site map. Journal of Agricultural and Forest Meteorology 5(4), 247-254. (in Korean with English abstract)

Koo, K. S, M. J. Lee, and M. Y. Shin, 2010: Estimation of forest productivity for post-wild-fire restoration in east coastal areas. Journal of Agricultural and Forest Meteorology 12(1), 36-44. (in Korean with English abstract)crossref(new window)

Korea Forest Research Institute, 2006: A study on the assessment of productive areas for main tree species using forest site map. 55pp. (in Korean)

Korea Forest Service, 2001: Guide for forest site inventory. 91pp. (in Korean).

Korea Forest Service, 2010: Development of producing and reporting systems for forest statistics based on national forest inventory data. 267pp. (in Korean with English abstract).

Kramer, H., 1988: Waldwachstumslehre. Paul Parey. 374pp. (in German)

Monserud, R. A., 1987: Variations on a theme of site index. Proceedings, IUFRO Forest Growth Modeling and Prediction Conference. Minneapolis, 419-427.

Myers, R. H., 1986: Classical and modern regression with applications. Duxbury Press. 395pp.

Shin, M. Y., 1990: The use of ridge regression for yield prediction models with multicolinearity. Journal of Korean Forest Society 79(3), 260-268.

Shin, M. Y. I. B. Jung, K. S. Koo, and H. G. Won, 2006: Development of site index equation for Pinus koraiensis based on environmental fatore and estimation of productive areas for reforestation. Journal of Agricultural and Forest Meteorology 8(2), 97-106. (in Korean with English abstract)

Shin, M. Y., J. W. Yun, and D. S. Cha, 1996: Local correlation of tree volume equation for Larix leptolepis by ratio-ofmeans estimator. Journal of Korean Forest Society 85(1), 56-65. (in Korean with English abstract)

Snee, R. D. 1977. Validation of regression models: Methods and Examples. Technometrics. 19, 415-428.crossref(new window)

Son, Y. M., K. H. Lee, S. D. S. Kwon, and W. K. Lee, 2004: Assessment and prediction system of timber resources for main species in Korea. Korea Forest Research Institute Report Paper 04-01, 49-52. (in Korean).

Won, H. K., J. H. Jeong, K. S. Koo, M. H. Song, and M. Y. Shin, 2005: Estimation of forest site productivity by regional environment and forest soil factors. Journal of Agricultural and Forest Meteorology 7(2), 132-140. (in Korean with English abstract)

Yim, K. B., 1985: The Principle of Silviculture, Hyangmun Book Co. 491pp. (in Korean)

Yun, J. I., 2010: Agricultural maps augmented by a GIS technology. Korean Journal of Agricultural and Forest Meteorology 12(1), 63-73. (in Korean with English abstract)crossref(new window)