The document discusses a tool for social-ecological research and environmental management, utilizing fuzzy cognitive mapping (FCM) to model complex adaptive systems through six European case studies. It emphasizes the importance of stakeholder involvement, social learning, and compares different knowledge systems in assessing ecological impacts. Additionally, the document presents simulation scenarios and highlights the benefits and drawbacks of the methodology used.

2. A tool for social-ecological research and
environmental management
Experiences from six European Case Studies
Martin Wildenberg, Michael Bachhofer
Mihai Adamescu, Geert De Blust, Ricardo Diaz-Delgadod, Kirsten G.Q. Isak, Flemming Skov and Riku Varjopuro

3. What are Social Ecological Systems?
Complex
Adaptive

4. We are part of them…
and that's what makes them
especially messy

5. How to model Social Ecological Systems?

6. How to model Social Ecological Systems?
And what can FCM contribute ?
(By the way, this guy is a member of FCMappers)

13. Fuzzy Cognitive Mapping
How does it work?

14. The case studies

15. Structure of maps

16. Structured data collection

17. Compare different knowledge systems

18. Social Learning & Education

19. Stakeholder
involvment

20. Simulation

21. FCM Simulation in a nutshell
(
N
A
i
( k +1)
= A i
(k )
+ ∑ A w ji
(k )
j )
j ≠i
j =1
Ai( k +1) = value of concept Ci at iteration step k+1
= value of concept Ci at iteration step k
Ai(k )
A(k ) = value of concept Cj at iteration step k
j
w ji = weight of the link between Ci and Cj

22. Three Scenarios
TREND
GLOB
LOC
+ Base Run

23. Trend

24. Glob

25. Loc

26. P ro te c te d N a tu ra l P ro p e rty
N a tu ra l L a n d s c a p e
F o re s t a t io n
N o . o f F a rm s
A g ric u lt u ra l In c o m e
P o p u la t io n
Q u a lity o f L iv e
T o u ris m C o m p a n ie s
W o rk p la c e s
Base Run
In d u s t ry
N e g a t iv e
P o s itiv e

27. P ro te c te d N a tu ra l P ro p e rty
N a tu ra l L a n d s c a p e
F o re s ta tio n
N o . o f F a rm s
A g ric u lt u ra l In c o m e
P o p u la tio n
Q u a lity o f L iv e
T o u ris m C o m p a n ie s
W o rk p la c e s
Trend
In d u s t ry
N e g a tiv e
P o s itiv e

28. P ro te c te d N a tu ra l P ro p e rty
N a tu ra l L a n d s c a p e
F o re s t a tio n
N o . o f F a rm s
A g ric u lt u ra l In c o m e
P o p u la t io n
Q u a lit y o f L iv e
T o u ris m C o m p a n ie s
W o rk p la c e s
In d u s t ry
N e g a tiv e
P o s itiv e
Glob

29. P ro te c te d N a tu ra l P ro p e rty
N a tu ra l L a n d s c a p e
F o re s t a t io n
N o . o f F a rm s
A g ric u ltu ra l In c o m e
P o p u la tio n
Q u a lit y o f L iv e
T o u ris m C o m p a n ie s
W o rk p la c e s
In d u s t ry
N e g a tiv e
P o s it iv e
Loc

30. Comparison with ABM
~80% overlap in trends for
three scenarios
Predicted trend in
Farmers income is seen
in 2008 Statistical Data

31. Pros - Cons
• (- )No time, no quantitative
results
• (+) more process oriented
• (+) participative
• (+) faster

32. Thank You!
More information & Software at:
www.FCMappers.net and yes – this site is a hobby…