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Supervisors Prof GPW Jewitt Prof H. Mahoo Integrated Scenario Approach in addressing climate change uncertainties in Wami Ruvu Catchment, Tanzania Mercy Mwanikah Ojoyi
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Outline of Research Paper
Introduction ,[object Object],[object Object],[object Object],[object Object]
Climate Change Projections  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Definition of Scenarios ,[object Object],[object Object]
Scenario applications: Physical, Social & Economic ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Justification ,[object Object],[object Object],[object Object]
Key Goal of Research Paper ,[object Object]
[object Object],[object Object],Specific Objectives
Map showing river/lake basins in Tanzania and 7 catchments of Wami/Ruvu Basin   Study Area Dar es salaam Arusha
Study Area description ,[object Object],[object Object],[object Object],[object Object],[object Object]
Target Group ,[object Object],[object Object],[object Object]
[object Object],Participatory Scenario  Procedure Establish scenario team Team proposes goals & outlines Team quantifies driving forces Ranks driving forces Revision of outline and storylines Team revises storylines General review of scenarios Team revises scenarios Presentation Repetition of steps Adopted from SCENES (Story and Simulation Approach to scenario development, Alcamo 2001)
[object Object]
[object Object]
[object Object]
Data Analysis Tools ,[object Object],[object Object],[object Object]
Outline of Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Water resources/Land uses/ Productivity  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SPSS Analyses   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Major Driving Actors from Scenario Procedure Driving force Better  Moderate Worse Finances 72 0 12 Drought 42 36 6 Climate change 78 6 0 Hand hoe use 6 14 66 Agricultural inputs 72 0 1 2 Knowledge and extension services 66 0 18 Changes in planting seasonality 24 6 54 Seed usage and availability 72 0 12 Irrigation 18 0 66
III. Driving forces highly ranked by scenario participants Driving forces Worse (%) Moderate(%) Better(%) Drought  18 54 0 Knowledge and extension services 0 42 36 Agricultural practice 18 48 12 Environmental protection 0 36 42 Financial constraints 6 30 42
Categories of Scenarios  2030 Developed Actors/ Factors Status of Actors/Factors State of stagnation In transition Managing thro’ Experience State of Stability Drought Increase/decrease Increase Increase Decrease Decrease Knowledge and accessibility to technology High level of awareness/low level of awareness Low Low Relatively high Very high Agricultural productivity High/Low High Low High High Environmental Conservation Weak environmental conservation/advanced environmental conservation Weak Weak Advanced Advanced Economics Stable/low low low better Stable
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Scenario  Interpretation & Significance
Sustainable Follow-up Activities  by participants
[object Object],[object Object],[object Object],[object Object],[object Object],Conclusions
Acknowledgements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
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Ojoyi: Integrated scenario approach in addressing climate change uncertainties in Wami Ruvu Catchment, Tanzania

  • 1. Supervisors Prof GPW Jewitt Prof H. Mahoo Integrated Scenario Approach in addressing climate change uncertainties in Wami Ruvu Catchment, Tanzania Mercy Mwanikah Ojoyi
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  • 10. Map showing river/lake basins in Tanzania and 7 catchments of Wami/Ruvu Basin   Study Area Dar es salaam Arusha
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  • 21. Major Driving Actors from Scenario Procedure Driving force Better Moderate Worse Finances 72 0 12 Drought 42 36 6 Climate change 78 6 0 Hand hoe use 6 14 66 Agricultural inputs 72 0 1 2 Knowledge and extension services 66 0 18 Changes in planting seasonality 24 6 54 Seed usage and availability 72 0 12 Irrigation 18 0 66
  • 22. III. Driving forces highly ranked by scenario participants Driving forces Worse (%) Moderate(%) Better(%) Drought 18 54 0 Knowledge and extension services 0 42 36 Agricultural practice 18 48 12 Environmental protection 0 36 42 Financial constraints 6 30 42
  • 23. Categories of Scenarios 2030 Developed Actors/ Factors Status of Actors/Factors State of stagnation In transition Managing thro’ Experience State of Stability Drought Increase/decrease Increase Increase Decrease Decrease Knowledge and accessibility to technology High level of awareness/low level of awareness Low Low Relatively high Very high Agricultural productivity High/Low High Low High High Environmental Conservation Weak environmental conservation/advanced environmental conservation Weak Weak Advanced Advanced Economics Stable/low low low better Stable
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