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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
What are Social Ecological Systems?

Complex


Adaptive
We are part of them…
and that's what makes them
   especially messy
How to model Social Ecological Systems?
How to model Social Ecological Systems?

And what can FCM contribute ?




      (By the way, this guy is a member of FCMappers)
Fuzzy Cognitive Mapping
How does it work?
The case studies
Structure of maps
Structured data collection
Compare different knowledge systems
Social Learning & Education
Stakeholder
  involvment
Simulation
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
Three Scenarios
TREND

GLOB

LOC

+ Base Run
Trend
Glob
Loc
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
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
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
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
Comparison with ABM
~80% overlap in trends for
  three scenarios

Predicted trend in
  Farmers income is seen
  in 2008 Statistical Data
Pros - Cons

• (- )No time, no quantitative
  results
• (+) more process oriented
• (+) participative
• (+) faster
Thank You!

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

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Fuzzy cognitive mapping

  • 1.
  • 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)
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 18. Social Learning & Education
  • 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
  • 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…