Download to read offline
Uploaded byCatherine Pfeifer
Cleaned R tool
- CLEANED-R is a landscape scale and spatially explicit tool for integrating open geographical data to assess the environmental impacts of land use changes. It has 5 core modules (production, greenhouse gases, water, soil, biodiversity) and a land use change module. - The tool is being used and tested within the ResLess project to facilitate social learning around sustainable land use scenarios. It provides environmental scorecards to compare scenarios and identify tradeoffs. - Preliminary results from applying the tool in Burkina Faso show that a negotiated scenario between agro-pastoralists and mixed farmers increased some socioeconomic indicators while reducing environmental impacts compared to the initial scenarios. The tool helped facilitate agreement by providing a neutral
More Related Content
Cleaned R tool
- 1.
- 2. CLEANED-R tool • Landscapescale & spatially explicit • Integration of open geographical data to get quick context specific data • Based on 5 core module (production, ghg, water, soil, biodiversity) and simple exogenous land use change module • User interface in R-shiny – Simple user with “vignettes” – Advanced user • Improvement and testing of the tool within the ReSLeSS project
- 3. ResLess : CLEANEDas an approach to social learning
- 4. Resless components • Economics –Success factors as seen by the community (more money is not always better) • Equity – Understanding who is marginalized and making sure that marginalized group get a voice in the learning space • Environment – CLEANED tool : understanding the environmental impact of interventions => INTEGRATION into the learning space
- 5. Transformation Game : enablingthe learning space Board game to define scenarios Number of animals per category Feed baskets per category CLEANED tool Environmental score card (generated through CLEANED) Stakeholder defined socio-economic score card (generated through discussions) Renegotiation of the scenario
- 6. Preliminary results fromBurkina Faso Scenario based on the pastoral vision Baseline Initial Negotiated Diff. with initial Vign. Number Vign. Number Vign. Number Vignettes Number A (tr*) ABR 100 GT 238 PT ABR 300 ST 200 LT ABR 300 ST 200 LT 0 0 0 L (tr) LBR 200 LBR 300 L1 300 + 0 D (an*) DBR 1’400 D1 2’400 D2 1’400 + - 1000 F (an) FBR 55’000 FBR 110’000 F1 110’000 + 0 T (an) TBR 22’500 T1 23’000 T1 17’000 0 -5000 Total 123’460 201’400 194’400
- 7. Preliminary results fromBurkina Faso Environmental score cards Productivity measure Initial Negotiated Change Meat produced (tons) + 83 + 83 0 Milk produced (tons) + 57 + 31.6 - Cropland used (ha) + 57 + 51 - Grazing land used (ha) + 56 + 49 - Rice area used (ha) + 100 + 100 0 Environmental indicators Initial Negotiated Change water Total + 60 + 52 - Per animal - 1.4 - 1.7 - Greenhous e gases Total + 61 + 57.5 - Per animal + 0.2 + 1.5 + Nitrogen + 31 + 27 - All values are in percentage change compared to the base run
- 8. Preliminary results fromBurkina Faso Socio-economic score card Socio- economic indicators Score initial scenario Score negoc. scenario change Improved breeds, infrastructures and services Low High ++ To be generous and helpful Medium Medium 0 Children go to school without hunger High High 0 Land rights are well defined High Medium to high - Incomes are diversified Medium to high High + Pastoralist household own two herds at any time High Medium -
- 9. Burkina Faso preliminaryresults Identified trade-off and synergies • Agreement in a long lasting conflict between agro-pastoralists and mixed crop livestock farmer could be found – Agro-pastoralist will not intensify their livestock production and relay in natural grass. – Crop farmers will get better breeds and will feed them with planted fodder. – Tractors will replace some of the draft animals • More production and more environmental impacts are necessary to reach the socio-economic objectives.
- 10. Reflection from theBurkina Faso learning space CLEANED tool as a boundary object : • Enables the learning space • Entry point to discuss environmental impacts • “neutral participant” that all conflicting parties could agree on
- 11. This presentation islicensed for use under the Creative Commons Attribution 4.0 International Licence. better lives through livestock ilri.org ILRI thanks all donors and organizations which globally support its work through their contributions to the CGIAR system
Editor's Notes
- #2 There MUST be a CGIAR logo or a CRP logo. You can copy and paste the logo you need from the final slide of this presentation. Then you can delete that final slide To replace a photo above, copy and paste this link in your browser: http://www.flickr.com/photos/ilri/sets/72157632057087650/detail/ Find a photo you like and the right size, copy and paste it in the block above.
- #3 Data integration : the CLEANED tool make use of the richness of open GIS data, and queries them to get locally relevant data. This data is also combined with expert knowledge that has been collected from key informant interview (reconnaissance tour) and a participatory GIS workshop. This data helps to defined the number of livestock categories that CLEANED will handle, and to define the feedbaskets and to set up initial numbers. To the initial numbers of animals per category, we have developped a trianglulation methodology that makes use of all available data, including the workshop data, census, dhs.
- #4 The main idea of Resless is that tools such as the CLEANED tool are useless unless they are used in a participatory process. Why useless? Because CLEANED is a model and therefore will never present the “reality”. The cleaned tool as a base run based on the most credible possible parameters. Simulating the future value chains, can teach us about environmental dynamics but it will never give the “true” future. Therefore, tools like CLEANED are here for us to learn about non-linearities that shape the environmental impact. So to make a meaningful use of the CLEANED R tool, the ResLess project aims at social learning by creating an environmental trade-off learning space, that integrates economic, equity and environment
- #5 So in the Resless project, there are 3 major components, economics, equity and the environment. Economics : this component is based on participatory economics, and assumes the most often what people value and how the define success is not accurately measured by money. SEI developed a participatory approach based on future personal stories to come up with a set of socio-economic indictors that will be used to value the scenarios. The Equity component uses an anthropological approach to understand who are the marginalized people in the area, and insure that all people have a voice. This is done by having observers during the workshop and adjusting the facilitation styles immediately when marginalization is observed. Also the dynamics and power games are documented to give advice on equity for future participatory processes. The environment component provides the CLEANED simulation tool that has been simplified so that it can be used live during the workshop and give real-time impact computation as participants negociate interventions. We have also an integration component, which we see it the learning space. Yet as you can imaging, this is a very difficult process, to get an economist, an anthropologist, and environmental specialist and a modeler on the same page. It has actually led to quite some tensions. But let us show you have we manage to create an integrated learning space : a the solution was THE TRANSFORMATION GAME
- #6 Stephen this might be your part : Explain the game with the vignette and the game board on the table, then show the interface of cleaned-r and then explain the result from CLEANED where put in an environmental score card that is discussed by participants and socio-economic indicators are ranked by participants. Then the group can negotiate new intervention and test them