The health of forests has been relatively stable in recent years and is below the EU average. Based on the new findings, annual fluctuation of estimates is a consequence of changing weather conditions between individual years.
The basic indicator of the health condition of trees, stands and forests is tree defoliation. It is a visually estimated percentage of missing assimilation organs (leaves, needles) of a selected tree in comparison with full foliage of a tree belonging to the same species and same social status and growing on the same site. The assessment of the indicator is rounded to the nearest 5%.
A tree is considered to be damaged when its defoliation level exceeds 25%.
The indicator is contained in the material of MCPFE 2003 (Ministerial Conference on the Protection of the Forests in Europe) under Criterion 2 (Maintenance of Forest Ecosystem Health and Vitality). A proposal has also been made to include it among the FAO/TBFRA indicators.
Slovenian Forestry Institute, 2009
Slovenian Forestry Institute, 2008
|defoliation less than 10 %||% of trees||18||16||22|
|defoliation from 11 to 25 %||% of trees||46||51||39|
|defoliation more than 25 %||% of trees||35||33||39|
To preserve healthy forests that can permanently and optimally function as an ecosystem and perform ecological, social and productive functions.
How was the indicator measured?
The defoliation assessment process is carried out in two stages. In the first stage, the sample trees are determined based on the statistical selection protocol, and in the second stage, each selected tree is evaluated in terms of defoliation. The indicator is a visually estimated share expressed in the percentage of missing assimilation tree organs (leaves, needles) in comparison with normal foliage level in a tree belonging to the same species and same social status and growing in the same site. The assessment of the indicator is rounded to the nearest 5%.
Data for Slovenia:
• Large-scale inventory of forests and forest ecosystems, Slovenian Forestry Institute.
• Description of the data source:
Methodology: random systematic cluster sampling
Frequency: every year on a 16 x 16 km grid, periodically on a 4 x 4 km grid.
Data manipulation: original data – individual values are calculated to sample units and units of account (=Slovenia)
Quality: subjective, but the only internationally acknowledged and comparable indicator
Reliability: subject to bias because of the constancy of sample plots (avoidance of some plots), but simple. The indicator demands assessment skills that can be acquired annually at calibration courses.
Accuracy: because the indicator is measured based on random sampling, the accuracy may be specified in advance by determining the number of sample units.