1. Research:
Pan-European Criteria and Indicators for Sustainable Forest Management
Case Study Liechtenstein (2003)
Future Perspectives (Discussion)

2. Pan-European Criteria and Indicators for Sustainable Forest Management
C&I catalogue
6 Criteria
(Helsinki-Criteria)
35 quantitative Indicators
qualitative Indicators
Kriterium ein charakteristisches Merkmal ist, durch das eine betreffende Zielerreichung beurteilt werden kann.
Ein Indikator bildet demgegenüber das quantitative Maß einer Wirkung, das selbst nicht aussagt ob die gemessene Veränderung positiv oder negativ ist. Es wird nur das quantitative Maß einer Veränderung beschrieben, welches eine Beurteilung ermöglicht, inwieweit das Kriterium erfüllt ist.
Wichtige Eigenschaft eines Indikators ist also die Fähigkeit zur Sensitivität, die es ermöglicht eine zeitliche Entwicklung messbar zumachen.
Indicator
specified classifications / attributes
status and changes

3. C&I Case Study Liechtenstein - Objectives
Which of the required information and data of the 35 quantitative indicators, both in quantity as well as in quality, can be supplied by the current information system of Liechtenstein and how can available data be compiled in a simple but comprehensive data report?
This requires an analysis and evaluation of the current data availability and data potential as well as the derivation of an C&I data report.
C&I

4. Analysis of Data-Availability and Data-Potential
Methodology
Type I: given data potential
DM/A :basis-data and methodology are given –
data interpretation and data analysis in required form
DM/B :basis-data and methodology are given –
data interpretation and data analysis in other form
DM/C :basis-data and methodology are given –
no available data interpretation and data analysis
Dm : basis-data are given, but methodology is not
dM : basis-data are not given, but methodology is
Analysis of Data-Availability and Data-Potential
Type II: no data potential
dm : both basis-data and methodology are not given

5. Results Data-Report - Data-Availability and Data-Potential
All 35 (36) indicators were studied and analysed
34 indicators were included in the
final evaluation
In total 194
classifying
attributes were
tested and
evaluated
2.2 „Soil condition“, 6.4 „Total expenditures for services from forestry“
C1 = 32
C2 = 16
C3 = 20
C4 = 48
C5 = 8
C6 = 70

6. Results Data-Report - Data-Availability and Data-Potential
All 35 (36) indicators were studied and analysed
34 indicators were included in the
final evaluation
In total 194
classifying
attributes were
tested and
evaluated
2.2 „Soil condition“, 6.4 „Total expenditures for services from forestry“
C1 = 32
C2 = 16
C3 = 20
C4 = 48
C5 = 8
C6 = 70

7. Indicators with very limited or even no data potential (Examples)
Results Data-Report
Indicators with very limited or even no data potential
(Examples)
Indicator 1.4 „Carbon stock“
Indicator 2.2 „Soil condition“
Indicator 3.3 „Services“
Indicator 4.7 „Landscape pattern“
Indicator 5.1 „Protective forests – soil, water and ecosystem functions“
Indicator 6.4 „Total expenditures for services from forestry“
Indicator 6.8 “Trade in Wood”
also problematic:
classified by forest type
classified by availability of wood supply

8. Results Data-Report - Source, Temporal and Spatial Analysis and Evaluation

9. Results Data-Report - Source, Temporal and Spatial Analysis and Evaluation

10. Secondary Results – Data Report
due to different data sources or even non compatible data within one data source
– data statement not always clear
current data availability could be enormously improved by an optimised
saturation of the theoretical data availability
problem: Total Forest Area (3 data sources = 3 figures)
changes of NFI 1986 to NFI 1998 rely on a different spatial resolution
than the data of NFI 1998
Status data: ha
Changes data: ha
Indicator-set: further improvements and research necessary
Indicator 6.4 „Total expenditures for services from forests“
Indicator 6.11 „Cultural and spiritual values“

11. ? Secondary Results – Data Report
Problem: Total Forest Area (3 data sources = 3 figures) ?

12. C&I Case Study Liechtenstein It has been shown:
how the operability and applicability of the pan-European indicators and their meaning as a reporting tool in the case of Liechtenstein could be assessed
how the situation of data availability and data potential for an adequate C&I reporting could look like
that the deficits between demand and supply of relevant information are impressive and that the reason for that are various
C&I

13. ? C&I Future Perspectives
Surely the results can not be directly compared to other national data situation in other countries, but it can be assumed that the relation between international demand and national supply shows same tendencies and obstacles like in Liechtenstein.
In how far can the required information of the pan-European Criteria and Indicators be supplied and reported by the members of the pan-European SFM process either in short- or long term? ?
C&I

14. Future Perspectives: Politics and Research
Harmonisation and Streamlining
of definitions
(Expert Meeting on Harmonizing Forest related Definitions for Use by Various
Stakeholders I, II, III)
of data assessment and monitoring systems, e.g. of National Forest Inventories
(ENFIN COST Action E 43))
forest-related reporting to international process
(e.g.: CPF Task Force on Streamlining Forest-Related Reporting)

15. Future Perspectives: Politics and Research
further National Case Studies
analysis and evaluation of data availability and data potentials
analysis and evaluation of Networking Structures
concerning information flows and information patterns on European level
(using synergies and minimising double reporting)
development and implementation of International Forest Information Systems
(e.g. EU-Project NEFIS)
development and implementation of “Conversion Toolkits“
within systems of data processing and data reporting
improving the use and integration of new data assessment techniques as Remote Sensing

16. Remote Sensing – a neutral source
Indicator 1.1: Forest area
Indicator 1.2: Growing stock
Indicator 1.4: Carbon stock
C 2:
Indicator 2.3: Defoliation
Indicator 2.4: Forest damage
C 4:
Indicator 4.7: Landscape Pattern
Engeschränkt:
Indikator 1.3: Age structure and/or diameter distribution
Indikator 3.5: Forest under management plans
Indikator 4.1: Tree species Composition
Indikator 4.3: Naturalness
Indikator 4.5: Dead wood
Indikator 5.1: Protective Forests – Soil, water and other Ecosystem Functions
Indikator 5.2: Protective forests – Infrastructure and Management Resources
for 6 Indicators
remote sensing applicable
for 9 Indicators
slightly or indirect applicable

17. Future Perspectives: Politics and Research
further National Case Studies
analysis and evaluation of data availability and data potentials
Promote and Support National Case Studies
Motivate instead De-motivate
Highlight Benefits:
As C&I covers a wide range of information, C&I can be considered as a perfect orientation strand to analyse and evaluate the data situation and information management on national level and European level !
Provide Assistance: Guidelines/ Expert Consultation

18. Thank you !