FOREST EUROPE criteria and indicators

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FOREST EUROPE criteria	FOREST EUROPE indicators
C1. Forest resources and carbon	C1.1. Forest area C1.2. Growing stock C1.3. Age structure and/or diameter distribution C1.4. Carbon stock
C2. Health and vitality	C2.1. Deposition of air pollutants C2.2. Soil condition C2.3. Defoliation C2.4. Forest damage
C3. Productive functions	C3.1. Increment and fellings C3.2. Soil condition C3.3. Non-wood goods C3.4. Services C3.5. Forests under management plans
C4. Biodiversity	C4.1. Tree species composition C4.2. Regeneration C4.3. Naturalness C4.4. Introduced tree species C4.5. Deadwood C4.6. Genetic resources C4.7. Landscape pattern C4.8. Threatened forest species C4.9. Protected forests
C5. Protective functions	C5.1. Protective forests-soil, water and other ecosystem functions C5.2. Protective forests-infrastructure and managed natural resources
C6. Socio-economic functions	C6.1. Forest holdings C6.2. Contribution of forest sector to GDP C6.3. Net revenue C6.4. Expenditures for services C6.5. Forest sector workforce C6.6. Occupational safety and health C6.7. Wood consumption C6.8. Trade in wood C6.9. Energy from wood resources C6.10. Accessibility for recreation C6.11. Cultural and spiritual values
A. Overall policies, institutions and instruments for sustainable forest management	A1. National forest programmes or similar A2. Institutional framework A3. Legal/regulatory frameworks and international commitments A4. Financial instruments A5. Informational needs
B. Policies, institutions and instruments by policy area	B1. Land use and forest area B2. Carbon balance B3. Health and vitality B4. Production and use of wood B5. Production and use of non-wood goods and services B6. Biodiversity B7. Protective forests B8. Economic viability B9. Employment B10. Public awareness and participation B11. Research, training and education B12. Cultural and spiritual values

See also

• ToSIA indicators (previously EFORWOOD indicators)
• Relations between ToSIA and FOREST EUROPE indicators

External sites

• Conference Proceedings: Forest Criteria and Indicators Analytical Framework and Report Workshop May 19-21, 2008 Joensuu, Finland

One way to cope with semantic vagueness (lexical uncertainty) is by constructing a formal logic with well-defined syntax and semantics. Interpretation of data by a logic processor can then provide a consistent evaluation of system states and processes represented in the model.

Notes and sources

• Improved Pan-European Indicators for Sustainable Forest Management as adopted by the MCPFE Expert Level Meeting, 7-8 October 2002, Vienna, Austria