CLIP

CLIP• Challenges– Livestock modeling –dynamics, effects of climate

change, not calibrated for Africa• Wagenigen (Katrien):

– Farmsim (seaonal, not CC dynamics)– APSIM/AUSFAM/IAT

• Cornell University (Alex Ruane)– (Fertilty, milk production climate stress)

• APSFAM/APSIM (Patricia)

– Data availability• 3 sentinel sites, different data availability • Long term data on livestock (FAOstat, global data sets)• Geographical/Biomass primary production global data sets

(need for ground truthing)

• Training/capacity strengthening needs• Livestock modeling (Patricia)• DSSAT (strengthening)• TOA-MD (Lieven, strengthening)

• Outputs – Review of livestock models, with regards to CC (liaise with ILRI)– Biophysical and socio-economic characteristics and bottlenecks– Management strategies and pathways for sustainable

intensification

• Outcomes– Information and capacity strengthening– Policy dialogue

• Interaction with stakeholders– Country specific

• Malawi: SLP solutions workshops, cross project coordination, student at UCT

• Zimbabwe: SLP solutions workshops, ACIAR project• South Africa: CPWF projects• Mozambique:?

– Regional policy makers (FANRPAN) to define information needs

– CRP 1.1• Engagement with AGMIP– Workshops – SSA trainings

• Question to AGMIP management– Engagement of students (tuition)?