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From Soil Erosion Research to Modeling Impacts of Interventions: The Case of Ethiopia  By  Gete Zeleke GMP UN expert group meeting on “ Sustainable land management and agricultural practices in Africa: Bridging the gap between research and farmers” April 16 – 17, 2009, University of Gothenburg, Sweden.
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[object Object]
[object Object]
Gete, 2005 Common in the rainy season
 
 
Land Cover in Dembecha Area, Ethiopia, in 1957  and 1995 Gete Zeleke 2000
Biological degradation : The invisible  threat ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
1. Poor Land Management
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2. Poor Livestock Management
3. Energy sources for HH domestic use Amare, 2008
[object Object],[object Object],[object Object],[object Object],[object Object],Slide from Zelalem, 2006 Hurni, 2007
5. Lack of proper awareness on extent and impacts of LD & other EPs ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
 
(4) Water tables and water supply (5) Biomass for livestock and bee keeping
 
 
February 2004 October 2005 19 May 2003 October 2005
[object Object]
What is need to make informed decisions on Agri. deve?  ,[object Object],[object Object],[object Object],[object Object]
What are Possible approaches? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Framework for Assessing Major LD Processes & Impacts (Approach 2) LD On-site Off-site Types of Impacts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Processes captured ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Impacts quantified
What do we have on this? LD On-site Off-site ,[object Object],[object Object],[object Object],[object Object],[object Object],Very little We know – SCRP & others ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Types of Impacts Processes captured Impacts quantified
Afdeyu
[object Object],[object Object],[object Object]
Database from SCRP ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],With and without scenario
Framework for Assessing Impacts of LM Practices (Approach 2 cont..) LM On-site Off-site Types of Impacts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Processes captured ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Impacts quantified
What do we have? LM On-site Off-site ,[object Object],[object Object],[object Object],[object Object],[object Object],No measured data We have some data (SCRP/HLI/EIAR but need to be organized) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Types of Impacts Processes captured Impacts quantified
What is missing or less addressed? ,[object Object],[object Object],[object Object],[object Object]
Approach 3: Methods of extrapolation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methods of extrapolation cont… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Processes of Identifying Recommendation Domains using GIS Environment (soil loss, Nutrient loss & SLM) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Reclassify country coverage and develop layers for each parameter Recommend. Domains Develop Ranges of parameters Overlay (model) GIS Modelling
Examples of National coverage for key parameters
farming system Farming system: Ethiopia
extrapolation of station data based on similarity of environmental conditions
farming system Farming system: teff, wheat, maize & pulses Farming system – Similar to Anjeni
soils Soils – Similar to Anjeni
altitude Altitudinal belts – Similar to Anjeni
rainfall Annual rainfall – Similar to Anjeni
LGP – Similar to Anjeni
slope Slope – Similar to Anjeni
temperature Annual Meant Temp – Similar to Anjeni
GIS Modelling and Overlays: Areas that can be represented by Anjeni
Areas that can be represented by Anjeni- by woreda (range)
Areas that can be represented by Anjeni- by woreda ( best fit areas only )
Part V: Extrapolation  A: Model application (Eg. USLE) to extrapolate  on-site  processes and impacts
LD On-site SLM ,[object Object],[object Object],[object Object],Types of Impacts Processes captured Impacts quantified ,[object Object],[object Object],[object Object],[object Object]
Phase I: Model validation at station level ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Parameter generation options ,[object Object],[object Object],[object Object],[object Object],[object Object]
2. Quantifying Nutrient Loss ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Procedures  ,[object Object],[object Object],[object Object],[object Object]
Procedures cont… ,[object Object],[object Object],[object Object],[object Object]
3. Quantifying impacts of SLM practices ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Phase II: Procedures of extrapolation to Recommendation Domains (Eg) Soil Loss (Map and Data)   K- Map LS - Map C/P - Map R – Map  Soil Map DEM Land Use Map Climate   Overlay
B: Model application (Eg. SWAT) to extrapolate  off-site  processes and impacts
Off-site ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],LD SLM ,[object Object],[object Object],[object Object],[object Object],Types of Impacts Processes captured Impacts quantified ,[object Object],[object Object],[object Object],[object Object]
1. Quantifying siltation using SWAT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
1. Quantifying siltation using SWAT cont…. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
HRUs Basin/Big watershed ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( drainage outlets drainage lines microbasins Sub- basin/sub-watershed
Procedures of using SAWT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Conclusion

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