Review and Progress of China’s Forest Continuous Inventory System


China was one of the earliest countries to set up a system to continuously inventory natural forest resources. From the beginning of the 1970s until today, seven forest resource inventories have been carried out. This research summarizes the progress of forest continuous inventories and analyzes the existing deficiencies ofChina’s forest continuous inventory system and forest management plan inventory. As stated above, this research offers corresponding countermeasures and suggestions: establishing a sample plot system for comprehensive national forest inventory and monitoring with each province’s continuous forest inventory based on the foundation of the national sample plot system, able to develop the province as a subset of the overall province-level forest resource inventory according to the actual conditions in each province. Through annual multi-resource/multi-benefit surveying of the forests, the monitoring of forest amounts, quality, functions and benefits will be assisted in its entirety. The further integration of the forest continuous inventory and the forest management plan inventory is also discussed. This research also proposes the varied probability sampling method with sub-compartments as the basic sampling unit (or combinations of sub-compartments). This will also satisfy the requirements of ecological inventory by region.

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Lin, G. , Wen, X. , Zhou, C. & She, G. (2013). Review and Progress of China’s Forest Continuous Inventory System. Open Journal of Forestry, 3, 17-22. doi: 10.4236/ojf.2013.31004.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] American Forest Council (1992). Report of the blue ribbon panel on forest inventory and analysis. Washington DC: American Forest Council.
[2] Arner, S. L., Westfall, J. A., & Scott, C. T. (2004). Comparison of annual invertory designs using forest inventory and analysis data. Forest Science, 50, 188-203.
[3] Bu, C. J. (2005). Research of the country’s start of a framework for establishment of forestry resource and ecological condition comprehensive monitoring system. Journal of China Forestry Industry, 1, 4.
[4] Cochran, W. G. (1997). Sampling techniques. Hoboken, NJ: John Wiley & Sons, Inc.
[5] Cunia, T., & Chevrou, R. B. (1969). Sampling with partial replacement on three or more occasions. Forest Science, 15, 204-224.
[6] Goran, K., & Hans, T. (1998). The Swedish national forest inventory 1983-1987. Ultuna: Department of Forest Survey, Swedish University of Agricultural Sciences.
[7] Gregoire, T. G. (1993). Estimation of forest growth from successive surveys. Forest Ecology and Management. 56, 267-278. doi:10.1016/0378-1127(93)90117-6
[8] IUFRO, S4.02-05 (1994). International guidelines for forest monitoring. Vienna: IUFRO.
[9] Kleinn, C., Dees, M., & Polley (1998). Forest inventory and survey systems in Germany. Bonn: Federnal Ministry of Food, Agriculre and Forestry.
[10] Lie, X. Y. (2006). Forestry resources and ecological condition information resource integration structure analysis. Journal of Forest Resources Management, 2, 51-56.
[11] Lyncii, T. B. (1995). Compatible estimation of components of forest growth from remeasured point samples with restricted generalized least squares. Forest Science, 41, 611-628.
[12] Martin, G. L. (1982). A method for estimating in growth on permanent horizontal points. Forest Science, 28, 111-114.
[13] Newton, C. M., Cunia, T., & Bickford, C. A. (1974). Multivariate estimators for sampling with partial replacement on two occasions. Forest Science, 20, 106-116.
[14] Roesch, F. A., & Reams, G. A. (1999). Analytical alternatives for annual inventory system. Journal of Forestry, 97, 33-37.
[15] Roesch Jr, F. A., & Deusen, P. C. (1993). Control variate estimators of survivor growth from point samples. Forest Science, 39, 66-77.
[16] Scott, C. B. (1947). Permanent growth and mortality plots in half the time. Journal of Forestry, 45, 669-674.
[17] Scott, C. T., Kohl, M., & Schnellbacher, H. J. (1999). A comparison of periodic and annual forest surveys. Forest Science, 45, 433-451.
[18] She, G. H. (1998). Study on the applied theory and method of angle measuring in volume growing estimation. Scientia Silvae Sinicae, 34, 25-30.
[19] She, G. H., Lin, G. Z., Wen, X. R. et al (2007). Improvement of forestry resources second class survey methods and the establishment of angle sampling monitoring system. Journal of Nanjing Forestry University, 31, 11-14.
[20] The Forestry Department of the People’s Republic of China (1983). Main technical regulations of forest resources investigation. Beijing: China’s Forestry Press.
[21] The Forestry Department of the People’s Republic of China (1994). Main technical regulations of forest resources survey. Beijing: China’s Forestry Press.
[22] The Forestry Department of the People’s Republic of China (2004). Main technical regulations of continuously forest resources inventory. Beijing: China’s Forestry Press.
[23] Ware, K. D., & Cunia, T. (1962). Continuous forest inventory with partial replacement of samples. Forest Science Monographs, 3, 415-422.
[24] Wang, Y. H., Xiao, W. F., & Zhang, X. Y. (2007). Forest health monitoring and evaluation of the present situation and development trend domestically and abroad. Journal of Forestry Science, 43, 78-85.
[25] Wynne, R. H., Oderwald, R. G., Reams, G. A., & Scrivani, J. A.(1999). Optical remote sensing for forest area estimation. Journal of Forest, 98, 31-36.
[26] Xiao, X. W. (2005). China forestry resources inventory. Beijing: China’s Forestry Press.
[27] Ye, R. H., Zhou, W. D., Huang, G. S. et al. (2000). A technical scheme for national forestry resources and the ecological environment comprehensive monitoring and system evaluation. Journal of Forest Resources Management, 3, 17-21.
[28] Yi, H. Q. (1991). China’s forestry survey planning and design history. Changsha: Hunan Press.
[29] Zhu, S. L. (2001). The present situation and the future development characteristics of forest resources monitoring survey abroad. Journal of Forest Resources Management, 2, 21-26.

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