Scenario workshop honduras zamorano irbio 24 may 2011 wv r
1. Land use scenario development Workshop Regional changes of land use for climate change adaptation and mitigation 2 4-25 May 2011, Zamorano By Wilbert van Rooij Netherlands Environmental Assessment Agency (PBL) seconded to Aidenvironment
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3. What is a scenario? Scenarios are credible , challenging, and relevant stories about how the future might unfold that can be told in both words and numbers. Scenarios are plausible descriptions of how the future may develop, based on a coherent and internally consistent set of assumptions about key relationships and driving forces. Scenarios are not forecasts , projections , or predictions .
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6. Types of scenarios A Project goal - exploration vs decision support: I. Inclusion of norms? : descriptive vs normative II. Vantage point: forecasting vs backcasting III. Subject: issue-based, area-based, institution-based IV. Time scale: long term vs short term V. Spatial scale: global/supranational vs national/local B Process design – intuitive vs formal: VI. Data: qualitative vs quantitative VII. Method of data collection: participatory vs desk research VIII. Resources: extensive vs limited IX. Institutional conditions: open vs constrained C Scenario content - complex vs simple: X. Temporal nature: claim vs snapshot XI. Variables: heterogeneous vs homogenous XII. Dynamics: peripheral vs trend XIII. Level of deviation: alternative vs conventional XIV. Level of integration: high vs low
37. Quick reference scenario exercise Phase 1 Phase 2 Phase 3 Phase 4 Scenario exercise Source: Ecosystems and human well-being: A manual for Assessment Practitioners Neville Ash et all, 2010
38. Phase 1: How to set up a scenario exercise Understand context, aim of scenario exercise Identify and agree on type of support to be given Agree on expected outcome in terms of process and product Define scope: Budget and time frame Geographical scale and time horizon Type of scenarios and analysis Set up a project team and environment: Establish authorising environment Decide who to involve in the process and when Define role of stakeholders 1 2 3 4 5
39. Phase 2: How to develop scenarios Identify main concerns and stakeholder questions and understand how past changes have come about Establish scenario development procedure and decide on method( inductive, deductive or incremental Analyse main drivers of change in future Discuss possible trends for each driver Identify the main uncertainties for the future Develop a set of scenario logics Describe scenario assumptions and story lines based on identified drivers and scenario Optional: use models to quantify main trends and assumptions Stage 1 2 3 4 1 Stage 2 Stage 3
40. Phase 3: How to analyze scenarios Determine whether, what and how to quantify. Check: Need and role quantitative information Availability of quantification tools Availability of budget and time Time horizon of analysis Which need to be assessed To what extent models need to be coupled Analyze implications of individual scenarios Optional: Quantify driving forces and impacts Assess ecosystems and human well being implications Optional: Analyze specific response options Analyze across the set of scenarios: Identify reasons for differences across scenarios Identify differing, similar and offsetting trends Optional: Analuze response options in scenarios 2 3 1 Policy options: e.g. climate adaptation and mitigation
41. Phase 4: How to use and communicate scenarios Map target audience and context conditions: Do a network analysis regarding actors, relationships, information needs and habits Map purpose to context: Check consistency ,credibility, saliency and legitimacy Assess what can reasonably be done with resources Develop outreach and communication strategy Develop clear success criteria Ensure steady high level support and backing Resent scenarios to target audience(s) Discuss implications, response options and lessons learnt Evaluate and monitor outreach action against your success criteria 1 2 3 4 5
43. Practice: What are the scenario archetypes? IPCC SRES A1 GEO-3 Markets First OECD Reference MA Global Orchestration MedAction Big is Beautiful Solidarity/Pro-active Self-interest/Reactive Regional Global IPCC SRES B1 GEO-3 Sustainability First MA Techno Garden MedAction Knowledge is King IPCC SRES A2 GEO-3 Security First MA Order from Strength MedAction Big is Beautiful? IPCC SRES B2 MA Adaptive Mosaic
44. Practice: What are the scenario archetypes? Global Markets Global Sustainability Continental Barriers Regional Sustainability Solidarity/Pro-active Self-interest/Reactive Regional Global
45. Example: Characteristics of Global Markets scenario Main drivers Population growth: low increase quality of life Economic development: very rapid Technology development: rapid new inventions, but no magic Environmental attitude: reactive no environmental laws and policies Trade increase (globalisation) Institutional strength policies help economy State of environment very poor Main objective economic growth
49. Demand: How much will be the change (in ha) of all major land uses? Spatial policies: New national parks, restricted areas, agricultural development zones Location characteristics: Infrastructure (new roads?) = change in accessibility Soil (soil degradation?) Population (migration because of globalisation?) Etc. Conversion settings Transition possibilities from one land use type to another Link with CLUE-s model
50. National scenarios – essential characteristics The scenario should be: 1. Consistent with the assumptions of a selected archetype scenario 2. Consistent with current national trends 3. Creative! (do not use archetype as straitjacket) 4. As specific as possible on policy options for conversation 5. Linked with CLUE-s where possible
51. National scenarios – essential elements Your scenario could have information on: Factors: Sectors: Actors: Economic development Agriculture * Government Population growth Tourism Businesses Consumption pattern Energy NGOs Technology Water Environmental Policies Forestry Scientists Protected area Institutions Urban area State of environment etc. (Biodiversity!) * Share intensive / extensive agr. area
56. Wilbert van Rooij, May 2011 Bridging gap between numeric and geographical data: Baseline scenario 1: Extract numeric data from available resources: A: Global: FAO (website), Global Assessments (MA, OECD, GBO, IPCC) B: National: Development reports (agricultural + forestry department Outlooks (Vietnam: Agenda 21, MDG report, etc) Census data from statistical department Specialists (Socio-Economists. Agronomists, Forestry planners, Environmentalists, etc) 2: Aggregate land use classes So that you can compare spatial and numeric data and for which you have future data 3: Create trends, historical and for planned time horizon 4: Compare geographical areas aggregated land use classes of the land use map with the areas derived from non spatial sources 5: Interpret reasons for difference, adjust numeric data and use relative differences for creation of demand table
60. Interpolation of land use area data Select regression type: liner, logarithmic, polynomial, etc. FRA2005 1990 1995 2000 2010 Prim. for 118 100 93 Sec. for 90 100 105
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62. Scenario information is used for the geographical allocation of future land use and to determine its pressure on biodiversity + + + + Lu model + Globio MSA_lu2020 MSA_infr2020 MSA_frag2020 MSA_nitr2020 MSA_clim2020
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Notas del editor
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In 2001 – we produced an OECD Environmental Outlook to 2020 to identify the key challenges facing environmental policy makers. The results were summarised using a “traffic lights” analogy: green lights for issues that are being well managed, yellow for ones where there has been improvement but are not yet on the right track, and red for issues that need to be urgently addressed. You can see from this table the “ red light ” issues which need the most action from policy makers. These were established based on extensive analysis for the Outlook, and consultation of experts. Greenhouse gas emissions despite the recent introduction in many OECD countries of carbon or energy taxes, tradable permits, and the growing use of the Kyoto flexibility mechanisms – only one-third of OECD countries have stabilised or reduced GHG emissions since 1990. Those that have, was the result of economic or structural changes, not successful climate policies. Motor vehicle and aviation air pollution – major source of local air pollution, GHG emissions, congestion, accidents, etc. Some local air pollutants from transport decreased (e.g. sulphur dioxide and nitrogen oxides), but overall pressures continuing to increase. Agricultural pollution - Agriculture continues to have significant pressures on the environment – it is responsible for 40% of nitrogen emissions and 30% of phosphorous emissions to surface waters and contributes to groundwater pollution – an increasing concern for many OECD countries. Over-fishing - 28% of major marine stocks are overexploited or recovering; 47% are fully exploited. Global biodiversity increasing the are of natural parks (now 14.6% of OECD land area), but less success outside the parks. The percentage of known species that are endangered is continuing to increase. Chemicals in the environment - Releases of chemicals during manufacturing and from products continues, and they are now widespread presence in the environment, causing environmental and human health and problems. Of particular concern are chemicals that are persistent, bioaccumulating and/or toxic.
Example: MedAction: Land use change scenarios at various scales To better understand the driving forces leading to land degradation and desertification in the Northern Mediterranean and to contribute to policy-making to address these issues 25/05/11
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Backcasting starts with defining a desirable future and then works backwards to identify policies and programs that will connect the future to the present 25/05/11
Ensure focal issue matches the purpose identified in phase 1 Ad 2: inductive …. Deductive ….. incremental
Ad 1: Even when scenarios will not be quantified you should continue with steps 2 and 3
Ad 2 as a scenario should fit the context there is a strong link with Phase 2
Based on National socio-economic development plan
The future land use map generated by Clue is used as input map for Globio3 to generate the MSA_lu map and also used in combination with (future) road map to generate future MSA_infra and MSA_frag maps.