GROUP 1-Role of water, trees, livestock, crops
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Transcript GROUP 1-Role of water, trees, livestock, crops
The Role of Water, Trees, Livestock,
Crops, Wildlife Individually or in an
Integrated Way
Group 1
Drylands Programme Meeting: Nairobi March 2011
Clarify how the dimension we are working in
contributes to successful implementation and
scaling up
• Is scaling up required? – design different
approaches for different contexts
• Need to try multiple options across
multiple circumstances to learn what
works where and for whom
Overarching principles
• Water balance and soil health are
compromised in many instances
• There are strong feedbacks between
components – need to be managed in
such a way as to optimise the benefits to
people
• In an integrated way
Overarching principles
• Water and soil nutrients are an input and
output that flows though the entire system
• Underpins primary production
• Influences livestock, wildlife
• Leaves the system
Roles of different actors
• What is generalisable? – difficult
• Need more cross location analysis
• Systematic analysis of all the case studies
– integrated management solution of
what’s making them work and where?
Roles of different actors
• Water is central?
• We need to ascertain who has tenure over
water flowing through the system –
particularly where management retains
water in a particular area – negotiations
over water rights issues
Is the dimension context specific?
• Yes
– To agro-eco zone
– Socio-economic, governance, cultural issues
– We tend to think things are homogenous at a
larger scale than they are – so we need to
design projects at a scale at which they are
relevant – challenges the assumptions of
scaling up
– So need context based intervention
Is the dimension context specific?
• This has implications for how we store and
communicate knowledge about
interventions and how they can be
combined in specific locations/contexts
• Questions about climate change – focus
on coping with climate variability?
• At the scale at which interventions need to
be planned and where predictions of
climate change are uncertain