Recommandé
Recommandé
Contenu connexe
Tendances
Tendances (12)
En vedette
En vedette (9)
Similaire à Cn tu12 2_alt_desire_a_global_approach_for_local_solutions_verzandvoort
Similaire à Cn tu12 2_alt_desire_a_global_approach_for_local_solutions_verzandvoort (20)
Plus de Erik van den Elsen
Plus de Erik van den Elsen (20)
Dernier
Dernier (20)
Cn tu12 2_alt_desire_a_global_approach_for_local_solutions_verzandvoort
- 1. Simone Verzandvoort, Erik van den Elsen, Rudi Hessel, and Coen Ritsema (Alterra- WUR), on behalf of the DESIRE consortium The DESIRE Project: Desertification Mitigation and Remediation of Land a Global Approach for Local Solutions LANDCON1010, October 11-15, Xián, China
- 2. Contents • Motivation • Objectives • Approach • Snapshots of results • Outreach LANDCON1010, October 11-15, Xián, China
- 3. Motivation • Perceived lack of impact of the UNCCD on the ground • Need for scientific proof of performance of SLM strategies • Need for communication of scientific research across and within groups in the desertification regime LANDCON1010, October 11-15, Xián, China “The UNCCD is often referred to as the “African poor convention” (M. Bakharr, GEF)
- 4. DESIRE Integrated Project • Co-funded by the European Commission* (9 M€) in FP6 • 26 partners • Run-time 2007-2012 * DG Research-Environment Programme LANDCON1010, October 11-15, Xián, China www.desire-project.eu
- 5. Objectives 1. Give SLM measures a sound scientific basis 2. Improve definition of indicators 3. Assess and develop promising SLM strategies with stakeholder groups 4. Evaluate SLM measures on regional scale 5. Disseminate results, guidance and decision support tools in suitable formats for all relevant stakeholders LANDCON1010, October 11-15, Xián, China Turkey (ESOGU ©) China (ISWC ©) Chile (INIA ©) Morocco (Gudrun Schwilch,©)
- 6. LANDCON1010, October 11-15, Xián, China 16 sites with different biophysical manifestations of desertification
- 7. Approach • Local for global • Start from available • Science-based • Stakeholder involvement • Integrate economic value of SLM • Emphasize benefits of SLM • Connect to policy LANDCON1010, October 11-15, Xián, China “Stakeholders are more confident to promote or try new ideas if they see evidence of success demonstrated in scientific experiments” (Nicky Geeson, DESIRE) “Benefits of SLM are of many kinds, not just agricultural productivity, and are of importance of each individual in every society” (Hanspeter Liniger, DESIRE- WOCAT)
- 8. Establish context and goals Identify, evaluate & select SLM options Trial SLM options & model regional effects Apply SLM options – monitor - disseminate CDE ©
- 9. Snapshots of results Biophysical and human- environmental context of desertification described and mapped (WB1)
- 10. Snapshots of results Indicator data sets collected Relationships to desertification risk and land management derived (WB2) Indicators affecting desertification as a function of land degradation process. Source: AUA (2010)
- 11. Snapshots of results SLM technologies and approaches assessed and selected in a structured participatory process (WB3) Photo: G. Schwilch
- 12. Snapshots of results Photo: Rick Skahesby © INIA © Selected strategies implemented and under assessment in the field (WB4) Photo: Christian Prat © INIA ©
- 13. 22 SLM technologies 57 field experiments 13 countries 6 2 3 5 4 2 SLM Technology groups tested in DESIRE Reduced & zero tillage Contour tillage Traditional water harvesting Mulching Strip cropping & barriers Controlled grazing 4 10 5 1 Tree cropping Annual cropping Grazing Forest
- 14. Green manure (dryland almond, Guadelentin, Spain) A crop grown to be ploughed into the ground to increase organic matter content, thereby improving fertility and reducing erodibility
- 15. Prescribed fire (extensive grazing, Góis, Portugal) Controlled burn to reduce fuel build-up and decrease the likelihood of serious hotter fires
- 16. No tillage (annual cropping, Chile) Seeding crops without disturbing the soil through tillage, involving one pass during which a part of the soil surface is “opened” and the seeds are placed concurrently No tillage machine
- 17. Rangeland resting (grazing, Tunisia) Land closed by fencing (or other means) for control of grazing or resting during a specified period to reconstitute its plant cover
- 18. Snapshots of results • Biophysical PESERA model adapted to simulate effects of SLM technologies • Socio-economic DESMICE model developed to – assess regional effects of local SLM techs – identify areas of intervention
- 19. Snapshots of results • Multi-lingual Harmonised Information System as a track record of project outputs • Various forms of dissemination (newsletters, booklets, video, podcast, powerpoint) (WB6) INIA © UA ©
- 20. Outreach • Scientific: – PhD work, conference contrs (100 in 2010), papers (30 in 2010) • Communication to target groups – Local/regional: stakeholder meetings – National: connecting DESIRE teams to National Focal Points & linking results of WB4/5 to NAPs – Global: joint involvement in UNCCD process (COP, CST, CRIC) with LADA and WOCAT – Any group: HIS & offered formats LANDCON1010, October 11-15, Xián, China
- 21. Thank you for your attention! For more information, visit: www.desire-his.eu www.desire-project.eu Thanks to all colleagues having provided photos for this presentation
- 22. PhD PhDPhD PhD PhD PhD PhD PhD PhD PhD PhDPhD PhDPhD PhDPhD PhDPhD PhDPhD PhDPhD PhD PhD PhD PhD PhD Various sites: PhD PhD PhD PhD-studies in DESIRE PhD PhD
- 23. Establish context and goals Identify, evaluate & select SLM options Trial SLM options & model regional effects Apply SLM options & monitor Identify, document and evaluate SLM options Stakeholders & their goals (WB1,6) Context and drivers of change (WB1) Status of LD and SLM and risk (WB1,2) Prioritize & select Trial SLM technologies in field experiments (WB4) Disseminate for extension & (inter)national policy (WB6) Model biophysical and economic effects at field & regional scale (WB4,5) Apply in longer- term programs & monitor progress to goals AdjustCDE ©
Notes de l'éditeur
- Ad 1: by looking at degradation and desertification processes in an integrated way Ad 2: for qualitative and quantitative evaluation of the land degradation and desertification status
- The methodological framework of DESIRE consists of 4 parts. Part 1 is about the socio-economic, political and environmental context of the study sites. In this part of the work flow stakeholders are identified and their goals of sustainability, and drivers of desertificiation. Status and risk of land degradation and conservation are assessed using the WOCAT-LADA expert mapping method and an independent indicator assessment (base map of land use systems and mapping questionnaire). Red box: stakeholder analysis is used. Brown and orange box: land degradation and conservation mapping using the LADA-WOCAT-DESIRE methodology is used Orange box: statistical relationships between indicators of deseryification were used, to assess desertification risk and to analyse the effectiveness of SLM practices, to a total of 1641 observations Part 2 is about the identification of strategies to remedy desertification, to document these, and to prioritize strategies, in all steps in collaboration with stakeholders (internal and external). The L4S and WOCAT QT/QA are used here. In the prioritization phase, a multi-criteria decision support system is used. Yellow boxes: 3-part participatory framework using WOCAT, LfS , and multicriteria evaluation. In part 3 selected strategies are trialed and monitored in the field during a period 0f 2-3 years. Stakeholders are involved in the monitoring. Strategies are assessed at site level on criteria partly corresponding to those in the WOCAT QT questionnaire, using various methods (e.g. CBA). Blue box: field-based methods including scientific and stakeholder monitoring Dark blue box: PESERA and economic models (e.g. agent-based modelling, input-output modelling) Results of the local scale assessment are used as input to a coupled model framework consisting of the biophysical PESERA model and economic models (input-output, cost effectiveness, agent-based modelling). These models provide outputs at regional scales, and can be used to identify areas where different remediation strategies are most likely to be adopted by farmers and their likely biophysical impacts. The proposed grid cell size of 1 ha for the modeling work in WB5 corresponds to the field size and captures an individual farmer’s decision-making. Thus, the model essentially aggregates multiple local (adoption and biophysical) processes. Its added value consists of: i) evaluating the impacts of remediation strategies at the regional scale; and ii) evaluating the effects of policies. In part 4 of the work entails essentially the spin off of the first three parts, in that dissemination should help to get remediation strategies adopted and implemented. Dissemination will focus on target groups of land managers, national and international policy, and scientists (DESIRE being financed by DG Research). This part of part 4 is covered in DESIRE. Subsequent activities should include the monitoring of progress to goals. Based on the results of this work, remediation strategies are adjusted, or new remediation strategies may be identified and prioritised in response to changing contexts or because existing strategies are no longer needed or working. These activities should occur in follow up to the DESIRE project.
- The methodological framework of DESIRE consists of 4 parts. Part 1 is about the socio-economic, political and environmental context of the study sites. In this part of the work flow stakeholders are identified and their goals of sustainability, and drivers of desertificiation. Status and risk of land degradation and conservation are assessed using the WOCAT-LADA expert mapping method and an independent indicator assessment (base map of land use systems and mapping questionnaire). Red box: stakeholder analysis is used. Brown and orange box: land degradation and conservation mapping using the LADA-WOCAT-DESIRE methodology is used Orange box: statistical relationships between indicators of deseryification were used, to assess desertification risk and to analyse the effectiveness of SLM practices, to a total of 1641 observations Part 2 is about the identification of strategies to remedy desertification, to document these, and to prioritize strategies, in all steps in collaboration with stakeholders (internal and external). The L4S and WOCAT QT/QA are used here. In the prioritization phase, a multi-criteria decision support system is used. Yellow boxes: 3-part participatory framework using WOCAT, LfS , and multicriteria evaluation. In part 3 selected strategies are trialed and monitored in the field during a period 0f 2-3 years. Stakeholders are involved in the monitoring. Strategies are assessed at site level on criteria partly corresponding to those in the WOCAT QT questionnaire, using various methods (e.g. CBA). Blue box: field-based methods including scientific and stakeholder monitoring Dark blue box: PESERA and economic models (e.g. agent-based modelling, input-output modelling) Results of the local scale assessment are used as input to a coupled model framework consisting of the biophysical PESERA model and economic models (input-output, cost effectiveness, agent-based modelling). These models provide outputs at regional scales, and can be used to identify areas where different remediation strategies are most likely to be adopted by farmers and their likely biophysical impacts. The proposed grid cell size of 1 ha for the modeling work in WB5 corresponds to the field size and captures an individual farmer’s decision-making. Thus, the model essentially aggregates multiple local (adoption and biophysical) processes. Its added value consists of: i) evaluating the impacts of remediation strategies at the regional scale; and ii) evaluating the effects of policies. In part 4 of the work entails essentially the spin off of the first three parts, in that dissemination should help to get remediation strategies adopted and implemented. Dissemination will focus on target groups of land managers, national and international policy, and scientists (DESIRE being financed by DG Research). This part of part 4 is covered in DESIRE. Subsequent activities should include the monitoring of progress to goals. Based on the results of this work, remediation strategies are adjusted, or new remediation strategies may be identified and prioritised in response to changing contexts or because existing strategies are no longer needed or working. These activities should occur in follow up to the DESIRE project.