Decision Support for Mainstreaming and Scaling up of Sustainable Land Management

1. Decision Support for Mainstreaming and Scaling up of Sustainable Land Management Country Presentation Country: ECUADOR Presentationmadeby: Juan Calles L. (FAO-EC) and Robert Erreis (MAE) Global Meeting of the DS-SLM Project 24 - 27 April 2018 FAO, Rome, Italy

2. Current situation of desertification and land degradation

3. Regulatory framework

4. Objectives of the project

5. Institutional arrangements SteeringComittee Undersecretary of ClimateChange. Director of CC Adaptation (Ministry of Environment) (FAO Ec) National Project Coordinator GIS specialist Technicalassistant FAO-EC GIDACC CSL Ministry of agriculture and livestock (MAG) EcuadorianSpatialInstitute (IEE) ArmyGeographicInstitute (IGM) ArmyUniversity (ESPE) WaterSecretary (SENAGUA) Local governments. WorkGroupLandDegradation

6. DS-SLM Methodologicalframework

7. Module 2. National /subnational assessment • Process undertaken for the assessment • Creation of the Work Group on Land Degradation • Support from Cuba Tropical Institute of Geography • Three regional and one national workshop for National Assessment • Validation with MAE and work group • Coordination with national and local organizations

8. Module 2. National /subnational assessment b. Methodological aspects • 1.- LUS MAP (LADA-WOCAT) • BasedonLand use and • vegetationcovermap • (MAG-MAE) 1:100 000 • 53 units43 LUS 23 provinces -> 587 analysisunits

9. Module 2. National /subnational assessment b. Methodological aspects Thematicinformation ProvinceDevelopmentPlans and Territorial Planning Support of IGT • 2.- QM (LADA-WOCAT) • • Trend • • Degradation • • Conservation • • Recommendation Workshop #3 5 provinces Feb 2017 Workshop #4 Nationalvalidation Mar 2017 Workshop #2 11 provinces Nov 2016 Workshop #1 7 provinces Sep 2016

10. Module 2. National /subnational assessment c. Results Change trend in the LUS areas Period 2000-2014 Rapidlydecreasing Slowlydecreasing Remainstable Slowlyincreasing Rapidlyincreasing Rapidlydecreasing Slowlydecreasing Remainstable Slowlyincreasing Rapidlyincreasing Coffee, cocoa, oilpalm, bananas main drivers of change

11. Module 2. National /subnational assessment c. Results Trend in the intensity of land use Moderatedecrease No majorchanges Moderateincrease Majorincrease Banana, cocoa, oilpalm, irrigationincreaseintensity of use

12. Module 2. National /subnational assessment c. Results Types of land degradation

13. Module 2. National /subnational assessment c. Results Degree of land degradation

14. Module 2. National /subnational assessment c. Results Direct causes of land degradation

15. Module 2. National /subnational assessment c. Results Loja Province. 1:25 000 LUS. QM.

16. Module 3. Selection of prioritylandscapes • Criteria used for the selection of the landscapes • • Existence of degradation processes. • • Existence of population in the area. • • Areas where there are different LUS. • • Areas where there are processes of degradation and SLM practices. • • Zones where there are relevant projects related to sustainable land management.

17. Module 3. Selection of prioritylandscapes Loja province Nambacolaparish

18. Module 3. Selection of prioritylandscapes Nambacolaparish Informationscale 1:5000 SIGTIERRAS (MAG)

19. Process undertaken • - Coordination with local communities • Other projects CSL, GIDACC • b. Methodological aspects • Interview with the community focus group • Map of the community • Water conflicts • Land tenure • Fires Module 4. Local / landscapeassessments

20. With 10 familiestheprojectanalized: • Human capital • Natural Capital • Physical Capital • Financialcapital • Social capital Resultshelp to understandthe local causes of landdegradation at thefarm’slevel: migration, lack of credit, irrigation, associativity, etc. Module 4. Local / landscapeassessments

21. Module 4. SLM bestpracticesidentification At Nambacola in the selected landscape the project evaluated the SLM best practices with local communities using LADA-WOCAT technology Questionary. 9 SLM best practices identified 6 SLM best practices proposed SLM uploaded to WOCAT web

22. Module 4. SLM bestpracticesidentification • Family and communityreservoirs • Silvopastoralsystems. • Organicfertilizers. • Agroforestrysystem • Windbreakcurtain. • Familyorchards. • ContainmentWall • Tajamares. • Cropsonterraces. • Riparianstrips. • Lenticwetlands. • Pilancones. • Sedimentationdams. Tajamares Lenticwetlands

23. Module 6. SLM implementation and scalingout • Project Climate Smart Livestock is implementing some SLM practices on their implementation zones (reservoirs, agroforestry, riparian strips). • DS-SLM project developed a Policy brief based on the results of the evaluation to increase awareness on stakeholders. • The project financed by the Korea Forest Service, UNCCD and FAO will implement SLM best practices in selected zones in Loja and Manabí. • Ecuador is preparing a new proposal for GCF which main component is increasing resilience of agricultural systems to climate change using SLM.

24. Thenationalassessment of landdegradationisbeingused as referenceinformation in decision-making and thedesign of new projects (GEF and GCF. The LADA-WOCAT methodologywastested at differentlevels and theresultsprovedtheirimportance to evaluatelanddegradation. TheWorkgrouponlanddegradationwasstrengthened in the use of the LADA-WOCAT methodology. Thenational and subnationalevaluationallowedthecollaboration of national and local institutions, as wellas thecommunities and cooperation agencies. Landdegradationis a priorityforthe MAE and the country, howeveritisnecessary to strengthentheinterinstitutionalarticulationonthe SLM. Theresults of thesubnationalevaluationallowed to define thesitesfortheexecution of a projectfortheimplementation of SLM. Conclusions- lessonslearned

25. Thankyou Thankyou