Application of China’s National Forest Continuous Inventory Database

The maintenance of a timely, reliable and accurate spatial database on current forest ecosystem conditions and changes is essential to characterize and assess forest resources and support sustainable forest management. Information for such a database can be obtained only through a continuous forest inventory. The National Forest Continuous Inventory (NFCI) is the first level of China’s three-tiered inventory system. The NFCI is administered by the State Forestry Administration; data are acquired by five inventory institutions around the country. Several important components of the database include land type, forest classification and ageclass/ age-group. The NFCI database in China is constructed based on 5-year inventory periods, resulting in some of the data not being timely when reports are issued. To address this problem, a forest growth simulation model has been developed to update the database for years between the periodic inventories. In order to aid in forest plan design and management, a three-dimensional virtual reality system of forest landscapes for selected units in the database (compartment or sub-compartment) has also been developed based on Virtual Reality Modeling Language. In addition, a transparent internet publishing system for a spatial database based on open source WebGIS (UMN Map Server) has been designed and utilized to enhance public understanding and encourage free participation of interested parties in the development, implementation, and planning of sustainable forest management.

[1]  Gennady Andrienko,et al.  The European Forest Information System-an Internet based interface between information providers and the user community , 2005 .

[2]  Matthias Dees,et al.  Ideas and Options for a National Forest Inventory in Turkey , 2003 .

[3]  X. Lei,et al.  Forest Inventory in China: Status and Challenges , 2009 .

[4]  E. Tomppo National Forest Inventories : pathways for common reporting , 2010 .

[5]  G. Shao,et al.  China's Forest Policy for the 21st Century , 2000, Science.

[6]  Remo Bertani,et al.  Quality control procedures in the Italian national forest inventory. , 2009, Journal of environmental monitoring : JEM.

[7]  Rémi Teissier du Cros,et al.  Preliminary study on the assessment of deadwood volume by the French national forest inventory , 2009, Annals of Forest Science.

[8]  Jerome K. Vanclay,et al.  Sustainable timber harvesting: simulation studies in the tropical rainforests of north Queensland , 1994 .

[9]  D. Zheng,et al.  Visualizing forest landscapes using public data sources , 2006 .

[10]  Manfred J. Lexer,et al.  Potentials and limitations of using large-scale forest inventory data for evaluating forest succession models , 2009 .

[11]  C. Peng,et al.  Changes in Forest Biomass Carbon Storage in China Between 1949 and 1998 , 2001, Science.

[12]  Hailemariam Temesgen,et al.  Estimating Current Forest Attributes from Paneled Inventory Data Using Plot-Level Imputation: A Study from the Pacific Northwest , 2009 .

[13]  Zhenggang Liu,et al.  Forest Landscape 3-D Visualization from China's National Forest Inventory Spatial Database , 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

[14]  Tsuyoshi Honjo,et al.  Three-dimensional visualization forest of landscapes by VRML , 2003 .

[15]  Joachim Saborowski,et al.  Web service based spatial forest information system using an open source software approach , 2007, Journal of Forestry Research.

[16]  J. Böhl,et al.  Deadwood volume assessment in the third Swiss National Forest Inventory: methods and first results , 2007, European Journal of Forest Research.

[17]  Frank Berninger,et al.  Intraspecific variation in drought response of Populus cathayana grown under ambient and enhanced UV-B radiation , 2009, Annals of Forest Science.

[18]  Lina Tang,et al.  China’s Classification-Based Forest Management: Procedures, Problems, and Prospects , 2009, Environmental management.

[19]  Guangyu Wang,et al.  China's Forestry Reforms , 2007, Science.