the mess of measuring sustainability in mixed crop-livestock systems: towards a practicable solution...
TRANSCRIPT
The mess of measuring sustainability in
mixed crop-livestock systems
Peter Thorne (ILRI)
AAAS Symposium on Indicators of Agricultural Sustainability,
San Jose, California
13 February 2015
Towards a practicable solution for evaluating sustainable
intensification options
Sustainability: A working definition
[Sustainable development is] development that meets the needs of the present without compromising the ability of future generations to meet their own needs
Brundtland Commission, 1987
“… not compromising the needs
of future generations”
Time frames
If effects are not expressed for years, decades or generations, direct, contemporary measurements are not possible
Alternatives:
Proxy indicators
Consolidate metrics with predictive simulation models
Unintended consequences
Merton’s law: outcomes diverge from those intended by the original, purposeful action
Consequences can be positive or negative but divergence is inevitable
Adaptability and robustness of alternative courses of action
Degree of sustainability
Moving targets
Solutions based on current situations might not work with future scenarios
Population density
Mean temperatures
Precipitation and rainfall distribution
Mitigation measures
Can we identify environmental (and other) sweet spots
Sustainability in the context of SI
Intensification: an increase in the output : input ratio of a system / domain. Simple!
To add sustainable to intensification an innovation has to:
deliver an intensification benefit
be initially adoptable
Not compromise well-being in the short-term (resulting in either dis-adoption or damage)
At least maintain equilibrium across various sustainability domains and scales in the longer term
Why do we need sustainability
indicators?
Comparing the implications for sustainability of alternative intensification pathways
Monitoring the impacts on sustainability of evolutionary changes in farming systems (hopefully along intensification pathways)
To strengthen the evidence base for our research activities having delivered what we originally claimed they would
Why do we have a mess?
Google: agriculture AND "sustainability indicators" OR natural resources AND "sustainability indicators”
What do we do about it?
Identify what is needed
practically applicable suite of indicators
assessment at multiple scales …
… and in multiple dimensions
Series of five broader consultations
Literature review (indicators and metrics)
Integrated framework for sustainability assessment
Literature review
Identify the most commonly used indicators
Pull out examples of metrics that have been used to assess these indicators
Begin to establish, more formally, the differentiation of metrics and indicators:
indicators are generated from metrics
metrics are measurable, indicators are interpretable
most indicators require more than one metric.
Initial insights from the lit’ review
A rich array of indicators exists
Varying degrees of consensus
Some domains are better covered than others
low medium high
Productivity 14 3 7 24
Economic 5 4 2 11
Human 5 2 1 8
Environmental 5 5 4 14
Social 6 7 3 16
SMARTness
Applies to both indicators and metrics
Essential if we are to achieve our aim of practicability
Metrics Indicators
Specific ✔
Measurable ✔
Appropriate ✔ ✔
Relevant ✔ ✔
Time bound ✔
Elements of an indicator framework
Multi-dimensional
economic, human, social, environmental, productivity-related
Multi-scale
plot, farm, household, community, zone of influence (region, national, ?)
Account for interactions amongst scales and dimensions
Allow at least some evaluation of trade-offs
Example dimension indicatorsProduction related Plot Household Community
Number of households ✔
Number of plots ✔
Land area under production ✔ ✔ ✔
Biomass production ✔ ✔ ✔
Input / resource use efficiency ✔ ✔
Feed resource availability ✔
Livestock population / density ✔ ✔
Crop / livestock diversification ✔
Rationale: Levels of production drive the economic sustainability of production systems. Thus, Higher production levels are, more likely to be sustainable over longer periods of time. For more sustainable communities, equity is likely to be more important than absolute production levels.
Building indicators from metrics
Plot Household Community
Designation Crop yield(Yhu)
Crop yield(HHYhu)
Variability in crop yield
Derivation Measured ∑(Yhu1 … YhuNplots) σ(HHYHu)
Designation Crop residue yield(YCr)
Crop residue yield Variability in crop residue yield
Derivation Measured ∑(YCr1 … YCrNplots) σ(HHYCr)
Designation Fodder / forage yield(Yff)
Forage yield Variability in forage yield
Derivation Measured ∑(Yff1 … YffNplots) σ(HHYff)
Aggregation / weighting?
Biomass production
What next?
Finalise literature view
Complete draft framework (based on literature review and expert discussions)
Test framework against available data sources:
Africa RISING
CSISA (Cereal Systems Initiative for South Asia)
Data from other USAID investments (ILSSI, SIIL etc.)
Collaboratively with wider partners
Revise and document for implementation
Think widely
Easy to get bogged down in detail
No practicably applicable framework will cover all aspects of sustainability
We need:
A framework that will work for 90 per cent of cases
Enough insight to recognise when we are operating in one of the other 10 per cent
Our exogenous, science-based perspectives might not be the only valid take on sustainability
Indigenous perceptions from the
Ethiopian Highlands
Both farmers and experts interviewed
Farmers view sustainability from a broader, livelihoods perspective whereas experts take a technology-oriented or project-specific view
Focus on social indicators limited in both groups
Farmers perceptions reflect timescales that vary across wealth classes; poorest are short term survivalists, rich take a longer view
Acknowledgements
All those who have participated in the discussions since March 2014 that have got us this far
Sieglinde Snapp (MSU) for helping to drive some of the more concrete outputs described here
Alex Smith for the literature review
Valentine Gandi (IWMI) for the indigenous perspectives
Jerry Glover for his repeated injections of energy into the process