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Natural Resource Management Strategy


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Presentation during IITA R4D week 2015 (23 - 27 Nov. 2015). By: Vanlauwe, Haertel, Nziguheba, Njukwe, Baars, Huising and

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Natural Resource Management Strategy

  1. 1. www.iita.orgA member of CGIAR consortium Natural Resource Management Strategy Vanlauwe, Haertel, Nziguheba, Njukwe, Baars, Huising and Adewopo 24th November 2015 (R4D Week 2015)
  2. 2. Vanlauwe, Haertel, Nziguheba, Njukwe, Baars, Huising, Adewopo, et al Natural Resource Management Strategy… …preparing for phase 2 Phase 1: 2012-2014  Strategy, resources Phase 2: 2014-2017  Implementation Phase 3: 2018-2020  Assessments
  3. 3. ‘To lift over 11.6 million Africans out of poverty and turn 7.5 million ha of land into sustainable use’ Refreshed Strategy 2012-2020
  4. 4. Phase 1 (2011-2014) Strategy development, CRP alignment, and resource mobilization  NRM strategy
  5. 5. ‘Sustainable Intensification of smallholder farming systems in sub-Saharan Africa: New Science to Tackle Persistent Problems’ NRM Strategy 2012-2020
  6. 6. Papers related to NRM  Technical dimension  Increased productivity (per unit area of land)  Increased resilience  Provision of other ecosystem service
  7. 7. Densely populated areas  No realistic alternatives in densely populated areas Kenya
  8. 8. Cropyield Time (or degradation status) Time Soilfertilitystatus Time Nutrient imbalances Other degradation Degradation processes
  9. 9. Pillar 1: Integrated Soil Fertility Mgt Vanlauwe et al, SOIL, 2015
  10. 10. Pillar 2: Sustainable land mgt
  11. 11. Pillar 3: Climate change adapt./mitig.
  12. 12. Intensification for forest conservation DR Congo
  13. 13. Phase 1 (2011-2014) Strategy development, CRP alignment, and resource mobilization  Investments and resources
  14. 14. On-going NRM-related initiatives  Direct impact of large NRM-related projects (most finishing before 2020): 1.5 million HHs with 0.5 ha of land = 750k ha  Embed NRM/SLU in new initiatives aiming at scale (e.g., AfDB, WBank)  Indirect impact through policy engagement, influencing scaling partners
  15. 15. Financial resources USD
  16. 16. Phase 1 (2011-2014) Strategy development, CRP alignment, and resource mobilization  Science progress
  17. 17. Households and targeting Authors Content Van Asten, Mashingaidze, Taulya, Bekunda, Larbi, Nielsen, Klapwijk Household analyses and consequences for ISFM, targeting interventions, etc Kreye, Hauser, Kokou, Uzokwe, Nhamo, Yomeni, Nabahungu Progress with cassava agronomy Coyne, Thuita, Aziz, Masso, Roobroeck, Dianda Soil (micro)biology, including aspects of rhizobiology, nematodes, bean root rot, etc Ampadu-Boakye, Baijukya, Kanampiu, Sangodele, Kamai, Kamara, , Adjei-Nsiah, Ebanyat Progress with legume intensification Asare, Jassogne, Wairegi, Van Asten, Yemefack, Kehbila, Matungulu Cocoa and coffee intensification (with link to conservation)
  18. 18.  Novel models for dissemination Phase 2 (2015-2017) Strategy implementation, delivery and consolidation
  19. 19. T. asperellumControl Rhizobiology Fig. Progressive improvement of batch quality through successive carrier processing options (Fev- Mar. 015; 2 different bags /batch sampled after curing for assessment) Cellspergraminoculant(logCFU)
  20. 20. Youth as service providers
  21. 21. Public-private partnerships
  22. 22. Extension partner facilitating an active dissemination network Placing research within development …… …Extension agents  Farming households  Extension partner with need for agronomic information  African Cassava Agronomy Initiative ACAI R4D team  Demand for cassava agronomy information Development of tools and applications for scaling agronomy recommendations (a) (b) (c)
  23. 23. ACA-I Responding to demands  Applicable to most cassava farmers, limited investment needs from farmers 1. Best planting practice tool for extension agents/farmers 2. Cassava intercropping tool for extension agents  Operates within value chains, focus on production 3. Cassava fertilizer blending tool for the fertilizer sector 4. Fertilizer recommendation tool for extension agents  Operates within value chains, focus on supply 5. Staggered planting tool for the processing sector 6. A tool advising on the optimum practices for highest starch
  24. 24. Decision support tools
  25. 25. Soil Health Platform  Data and information management  Network of laboratory services  Networking and partnership  Communication and Information Services  Etc Jeroen Huising
  26. 26.  Novel science approaches Phase 2 (2015-2017) Strategy implementation, delivery and consolidation
  27. 27.  Fertilizer application to beans in Rwanda Agronomy science 350
  28. 28.  Fertilizer application to beans in Rwanda Agronomy science 350
  29. 29. GIS science  Allocating sampling points RESULT THREE (Probability Raster) for manually selected LGA clipped by Protected Areas input GIS output Balanced and weighted sampling points
  30. 30. Phase 3 (2018-2020) Strategy evaluation, successes, failures, and impact
  31. 31. Assessing the SLU-KPI •Improved crop varieties •Good agronomy (planting density, time, weeding) •Fertilizer application •Manure or compost application •Crop residue incorporation •Mulch application •Legume integration •Reduced tillage •Soil conservation structure •Crop yield •Nutrient balance •Soil C •Acidity •Nutrient and water use efficiency •Erosion •Soil structure •Infiltration = f ( ) Indicators Practices  Linking practices to indicators
  32. 32. Linking practices to indicators Revised Universal Soil Loss Equation (Rahman et al, 2009) Soil C capacity (Hassink et al., 1997) Soil pH Soil pH critical value of 5.5 Nutrients added to farm plots Nutrients removed from plots Critical value 20 t/ha Critical deficit 25% Critical values -20, -5,- 20 Kg/ha/ crop Soil erosion Soil C deficit Soil acidity Partial nutrient budget Adaptedfrom VitalSigns Type/amount of Fertilizer & organic inputs Crop harvest Residue removal Type/amount of fertilizer Organic input type Lime Soil cover Soil conservation Tillage practices Practices for SLU Soil erosion Partial N, P, K budget Indicator values Soil C – topsoil Indicator Indicator Critical level f(Cadded- Cmin) Century model (Proton balance, pH buffer capacity)
  33. 33. CIALCA impact study DR Congo Rwanda  Percentage of households who were using the technology
  34. 34. Ex-ante TodayBefore 2020 Focus on outcomes, not impact (too short a time frame) Focus on impact
  35. 35. Thank you!