Final workshop
CLEANED validation, synthesis and planning workshop
Machakos Kenya 30-31 October 2014
Contents
Objectives
- Share CLEANED results and progress so far
- Discuss and get input for the framework
- Discuss ways forward and next steps
Agenda
Day 1
08:30 Welcome and Introductions – Mats; Peter Livestock and Fish – Tom Introducing the CLEANED project - PRESENTATION Introducing the CLEANED framework for environmental ex-ante impact assessment of livestock value chains - PRESENTATION 10:00 Break Testing the CLEANED framework in Lushoto, Tanzania - PRESENTATION 12:00 Lunch (at Kapiti Ranch) Group work on Framework experiences/improvements Ranch visit Sundowner 19:30 Dinner (at Hotel)
Day 2
08:30 Group work Feedback on Framework experiences/improvements 10:00 Break Finalizing the Framework 12:30 Lunch 14:00 Synthesis, next steps, actions 15:30 Depart
Some Photos
Actions and Next Steps
Immediate Actions Complete the framework (pathways, indicators, waste, visualization of results) Think through nutrition dimensions Refine and extend the scenarios (Tanga and Morogoro), with Maziwa Zaidi project Complete the case study (Tanga and Morogoro) Reporting and dissemination; more than just numbers, narratives, contextualized learning Explore ways to bring back and share with Tanzania communities: with DDF/milk week (May 2015), Tanga platform (Nov 2014/Feb 2015); Morogoro platform (Dec 2014.) .
Longer term actions Transform framework into a user-friendly tool Training and dissemination of the tool, training of trainers Devise Tanzania-specific rollout building on the case study and partnerships Adapt and apply in other value chains (aquaculture, pigs …) Extend to other countries and networks and partners
Notes from Day 2 Groupwork
Group 1: Focus on Tanzania - Morogoro
- Who are the priority users, and what uses will they make of the framework?
- What should the tool look like; how will it be used? Rapid, easy, sophisticated, online, expert?
- How do we get the Framework USED?
- Where should we use the Framework, beyond dairying?
Group 1: Focus on Tanzania - Lushoto
- Who are the priority users, and what uses will they make of the framework?
- What should the tool look like; how will it be used? Rapid, easy, sophisticated, online, expert?
- How do we get the Framework USED?
- Where should we use the Framework, beyond dairying?
Group 1: Focus on Global
- Who are the priority users, and what uses will they make of the framework?
- What should the tool look like; how will it be used? Rapid, easy, sophisticated, online, expert?
- How do we get the Framework USED?
- Where should we use the Framework, beyond dairying?
Notes from Day 1 Groupwork
Biodiversity
ARE WE TACKLING THE RIGHT ISSUES?
WHAT WOULD WE IMPROVE?
Soil and Land
ARE WE TACKLING THE RIGHT ISSUES? 1) Additional overall indicator NDVI? 2) Brief interest BUT: not all species reflect high soil quality Besides cropland and grassland, we didn’t look much into natural vegetation. This is because biomass from vegetation e.g. forests/woody vegetation isn’t much of an indicator of soil fertility, as some of the vegetation modify the soil biomass production may be huge yet soil fertility is low. 3) Other nutrients; P, K, macronutrients Should we include a nutrient balance analysis of other nutrients particularly macronutrients; Phosphorous and Potassium and micronutrients such as Boron or can Nitrogen be used as an indicator to represent other major nutrients (phosphorous and potassium). 4) Application of the tool to others: extrapolation: This tool can be applied in other areas with an agro-ecology that’s more or less similar to that of Lushoto particularly highland areas in general. 5) Use baseline to forecast BAU and generate options. 6) The tool gives a general idea on nutrient balances whereby there’s no need to do biophysical measurements so therefore easy to implement. Hence if a developer for instance wants to know the Nitrogen balance for a particular area, this tool can be used to give a general picture. If moderate then the developer may decide that there’s no cause for alarm and no need to look into it further. However, if the N balance is too low, then the developer may choose to hire an expert to carry out a more detailed analysis and biophysical measurements.
WHAT WOULD WE IMPROVE? 1) Focus on input data: small set of variables that users can and want to provide. Attention also needs to be given to input data just as much as the output data if not more. The variables can be minimized by linking variables that are more or less similar or can be used as a representative of the other. Hence by looking at one variable, this can serve as an example/representative of other variables. 2) Contribution of science to pitch! 3) Translation into quantitative scoring: The quantitative data (results) can be converted to qualitative measurements with indicators such as low, moderate and high so the results can be contextualized to make it easier to understand which category the nitrogen balances fall. A “traffic light” assessment can be used whereby red, green and orange can be used to represent low, moderate and high respectively. Low would represent values that are on the lower negative end of the scale suggesting nutrient mining, whereas high would represent values that are on the high positive end of the scale which could mean nutrient leaching into the soil and consequently ground water contamination as well as greenhouse gas emission. 4) Focus on who are the end users. Who will be using this framework? There are 2 types of users; those interested in the analysis showing how the nutrient balances were acquired and those users only interested in the results. The later users may include policy makers, development partners, government workers, NGOs, donor agencies and farmers whereas the other users include researchers and scientists who are keener on the analysis used to acquire the results. The different users should work together for instance researchers can work together with the farmers who will use the output of the analysis done by the researchers and the development partners can use these results to bring about change/sustainable development and donors can provide the necessary funding. These farmers also need to be trained on implementation thus there’s need for establishment of these links to ensure the tool is implemented. 5) Most science + data + calculations in the background : open access Input data/datasets and spatial data necessary for the calculations as well as the results should be made accessible whereby the calculations and data would be in the background and the results in the fore-front so as to ensure the tool is used efficiently.
Water
ARE WE TACKLING THE RIGHT ISSUES?
WHAT WOULD WE IMPROVE?
Waste
ARE WE TACKLING THE RIGHT ISSUES?
WHAT WOULD WE IMPROVE?
Participants
| Name | Institution | email address |
| Charles Mutagwaba | Tanzanian Dairy Board | cmutagwaba@yahoo.co.uk |
| Dr Clavery Tungaraza | SUA | tungaraza@suanet.ac.tz |
| Simon Mainaya | Chairman, pastoral community Lushoto | None (Pangani to convey message) |
| Ayubu Omari | Crop Officer, Lushoto District Council | ayubuo@gmail.com |
| Charles Tumaini | Tanga Fresh Ltd, Tanga | charlest@tangafresh.com;manchazy@yahoo.com |
| John Mtimbanjayo | Wildlife Officer Kilosa HQ | mtimba2008@yahoo.com |
| Anna Oloishuro | Farmer, livestock keeper | None (Pangani to convey message) |
| Shamba Kubwa | Farmer, livestock keeper | None (Pangani to convey message) |
| Gasper Anatoly Msimbe | Regional Secretariat Morogoro | gaspermsimbe@gmail.com |
| Daniel Sandi Pangani | District Livestock Officer, Mvomero District Council | dskpangani@yahoo.com |
| DAINA M.MUYWANGA. | Head of Crop Department, Movomero DC | dmuywanga@gmail.com |
| Mats Lannerstad | ILRI | M.Lannerstad@cgiar.org |
| Tom Randolph | ILRI | T.Randolph@cgiar.org |
| Kate Schnider | BMGF | Kate.Schneider@gatesfoundation.org |
| Patrik Henriksson | World Fish | Henriksson@cml.leidenuniv.nl |
| Amos Omore | ILRI | A.Omore@cgiar.org |
| Jo Cadilhon | ILRI | j.cadilhon@cgiar.org |
| An Notenbaert | CIAT-Kenya | a.notenbaert@cgiar.org |
| Birthe Paul | CIAT-Kenya | b.paul@cgiar.org |
| Jessica Koge | CIAT-Kenya | jessicajoanne70@gmail.com |
| Simon Fraval | ILRI | s.fraval@cgiar.org |
| Simon Mugatha | ILRI | s.mugatha@cgiar.org |
| Edmund Githoro | ILRI | e.githoro@cgir.org |
| Peter Ballantyne | ILRI | P.Ballantyne@cgiar.org |
| Ylva Ran | SEI Stockholm | ylva.ran@sei-international.org |
