Itinerary

  • Overview of scenario creation process
  • Discuss feedback on narratives
  • Next steps

Scenario creation process

Scenario creation process

Workshops

Scenario creation process

Summarising content

  • Translated all content
  • Extracted statements regarding desirable landscape characteristics
  • Arranged in table and aggregated where appropriate
  • 60 unique statements

Scenario creation process

Content coding

IPBES Nature Futures Framework as basis of the orientations of the scenarios

Scenario creation process

Content coding

Created an online survey where participants could allocate the statements regarding future landscape characteristics to the different axes of the NFF

Scenario creation process

Clustering coded content

  • 6 survey participants
  • 360 data points (individuals anwsers for each statement)
  • Performed k-means clustering on individual data points as well as statement means
  • Identification of optimal number of clusters using silhouette scores
  • 3 clusters

Scenario creation process

Clustering coded content

Fuzzy clustering to highlight disagreements between participants

Scenario creation process

Clustering coded content

Reviewed every statement individually, discussed discrepancies and made final allocation to one or more clusters.

Scenario creation process

Clustering coded content

Reviewed every statement individually, discussed discrepancies and made final allocation to one or more clusters.

Scenario creation process

Clustering coded content

Result: All 60 statements assigned to one or multiple clusters

Scenario creation process

Scenario creation process

Conducted literature review for information of future development of drivers:

  • Academic publications

  • Gray literature

  • CEPLAN reports and ‘Observatorio Nacional de Prospectiva’

  • Existing quantification of SSP variables

Scenario creation process

  • Statements of trends in drivers under each scenario in accordance with desired future characteristics
  • Addition of other trends such as Protected Area Expansion
  • Explorative BAU scenario devised in juxtaposition to others

Scenario creation process

Narratives

Table of statements under each scenario used as the basis for narratives, expanded with additional references and explanatory footnotes

Feedback

Feedback

  • General: Alignment with SSP-RCPs
  • Merel: What Protected Areas included
  • Jan:
    • Diversity of scenarios
    • Internal and between scenario consistency
    • Model operationalisation
    • Mining
  • Armando:

Next steps

Next steps

  • Integrate your feedback in narratives
  • Finalise sections on regional dynamics
  • Share narratives via project website (English and Spanish)
  • Quantification: Online guided expert activity to gather LULC change rates

LULC change rate activity

  • Online guided survey, 1-1 with participant and team member
  • Participants go through statements from scenario narratives and provide impact on rates of change of aggregated LULC classes

LULC change rate activity

They are shown extrapolated historical rates as a reference and as their answers are entered scenario rates are adjusted in real time

LULC change rate activity

Option to add regional specific trends

LULC change rate activity

  • To reduce the number of statements each participant has to go through we want to split them according to their percieved influence on specifc LULC classes. i.e. not all statements relevant for all classes
  • Participants should be experts in one domain e.g. forestry and hence well-informed to assess impact of trend in this domain

We need your help in finding expert participants