FOREST EUROPE criteria and indicators

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EFI Policy Portal

Information Portal on Forest Policies, Institutions and Instruments
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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

External sites

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

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