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MESHing ecosystem services – a new tool for policymakers and ecosystem services practitioners

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Mapping Ecosystem Services to Human well-being – MESH – is an ecosystem service assessment and mapping toolkit developed by Bioversity International, CGIAR, and the Natural Capital Project in support of a Science for Nature and People (SNAP) project on ‘Making Ecosystems Count in the Sustainable Development Goals (SDGs)’.

Download MESH: http://www.naturalcapitalproject.org/mesh/

Published in: Environment
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MESHing ecosystem services – a new tool for policymakers and ecosystem services practitioners

  1. 1. MESH-ing Ecosystem Services & Human well-being for the SDGs Sarah Jones & Sylvia Wood
  2. 2. New Policy Context
  3. 3. Agricultural Landscapes as Silver Bullet for SDGs?
  4. 4. Integrated Land Management Approach for the SDGs • Land & food systems an SDG “silver bullet” • Multi-sectoral planning and cooperation • ES link disparate Conservation & Development • Identify tradeoffs/opportunities across landscapes • Nudge needle on a number of SDGs Water Quality Human Nutrition Climate ChangeFood Security SDG 2 SDG 6 SDG 2 SDG 13
  5. 5. Carbon storage Food Production & Nutrition Water Availability Building materials Recreation!? Transport/h ydropower SDG 2 SDG 13 SDG 6 SDG 3 SDG 5? SDG 9 SDG 7 SDG 14 Disease? Biodiversity SDG 15 Eutrophication Designing multi-functional landscapes
  6. 6. To address ES- SDG Gap: SNAP project 1) How can we quantify ES for SDGs (relevant to policy needs)? 2) How can we evaluate them in an integrative manner demanded by the SDGs  framework  models
  7. 7. • SDG Symbols – select out relevant ones ES- SDG linkages
  8. 8. Ecosystem Services Scientific evidence Food Production Pollination Nutrient Cycling Erosion Prevention Carbon Sequestration Water Regulation Habitat Creation Temp Regulation Air Quality ??? ??? Potential indicators
  9. 9. Agriculture Transboundary water management Stakeholders: Volta basin focus Water scarcity and land degradation • Strong need and interest in finding cross- sectoral synergies - $ • Challenge of data and tools Nutrition Science-policy workshop
  10. 10. Crop production value per land unit ($/ha) Prevalence of undernourishment if food is sourced locally (calorie only) / (macro- nutrients only) / (micro-nutrients only) Agricultural land at high / low / no risk of land degradation (%) Crop production value per water unit ($/m3) SDG 2 (food) No. people without access to sufficient quantity of quality water SDG 3 (health) No. people living in malaria risk zone SDG 6 (water) Human water quality footprint (index) Population exposed to diarrhoeal disease Total annual gross soil erosion on ag land (t/ha) Ag land with low carbon emissions (%) SDG 15 (terrestrial) SDG 13 (climate) Pollination Regulation of water supply Pollutant filtration Nutrient retention Crop production Erosion control Habitat-based vector control ECOSYSTEM SERVICE MESH-SDG INDICATOR SDG Carbon storage Quantity of runoff in urban areas (mm/y) Urban water quality footprint (index) SDG 11 (cities)
  11. 11. Using Trade-Off Analysis for ILM Challenges 1. Data intensive 2. Technically challenging 3. Many steps & programs 4. Heavy pre- & post-processing
  12. 12. Mapping Ecosystem Services to Human wellbeing Aiming for:  User-friendly interface  Easy to alter parameters  Speed  Default datasets  User-driven output formats  Plug-in capacity for other ES models
  13. 13. MESH Model Interface 1. Scenario Generator 2. Select relevant ES 3. Run the models 4. Results output 5. Report
  14. 14. Links between ecosystem service supply and SDGs Nutrition Water quality Water yieldCarbon Sediment retention ?? SDG 2 SDG 3 SDG 6SDG 13 SDG 15 Scenario 1 Scenario 2 Scenario 3
  15. 15. THANK YOU Live Demo of MESH Check out Justin Johnson’s presentation T4a 3:30pm! MESH Webpage http://www.naturalcapitalproject.org/mesh/

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