From S E Research To Modeling Impacts

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.

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],[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]

(4) Water tables and water supply (5) Biomass for livestock and bee keeping

February 2004 October 2005 19 May 2003 October 2005

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

[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

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

From S E Research To Modeling Impacts

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From S E Research To Modeling Impacts