Integrated Planning and Monitoring for Climate
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Transcript Integrated Planning and Monitoring for Climate
Integrated Planning and Monitoring for
Climate-Smart Agriculture
Cynthia Rosenzweig (NASA/AgMIP)
Aslihan Arslan (FAO)
Federica Matteoli (FAO)
Moffatt Ngugi (USAID)
Todd Rosenstock (ICRAF/CCAFS)
Knowledge Action Group Session at GACSA AF 16th June 2016
Background
• KAG Sub-Group on Integrated Planning and Monitoring was created in March 2015 at the
Climate-Smart Agriculture Science Conference in Montpellier, France.
• Overall goal is to advance CSA decision support tools and evaluation methods.
• Sub-Group promotes collaboration, information-sharing, and learning among
stakeholders on the use of CSA techniques.
• In the 2015-2016 period, the Sub-Group has focused on:
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Practices and Technologies
Monitoring and Evaluation
Data and Models
Online Communities of Practice
Knowledge Action Group Session at GACSA AF 16th June 2016
Practices and Technologies
• At the core of Climate-Smart Agriculture are improved farm and field-level
management practices and technologies that underpin decisions, services,
and policies.
• Farm-level technologies represent a broad category of direct activities
farmers can undertake in their fields, in livestock husbandry, or through
management of communal lands.
• Actions span a range from adopting drought-resistant
crop varieties, to reducing stocking rates of animals,
to changing harvesting and postharvest storage techniques.
Knowledge Action Group Session at GACSA AF 16th June 2016
Source: Leo Sebastian, IRRI-CCAFS; J.L. Urrea, CCAFS
Monitoring and Evaluation
There is a global effort to bring multiple partners across public and private sectors in
agriculture to build and share metrics under GACSA – This represents an opportunity to
develop and share a common CSA framework.
Selected indicators of outcomes of productivity, adaptive capacity, and mitigation
Indicators
Rationale
Example
Productivity
Food security
Gender
Relates to individual or household Consumption (Kcal/pers/day)
consumption
Food Deficit (Kcal/pers/day)
Resilience/Adaptive Capacity (biophysical, economic and social)
Person-hours (hrs/ha/yr)
Value of labor ($/hr)
Workload
Mitigation
GHG emissions
Captures reduced contribution
CO2 flux (Mg C ha-2 yr-1)
to GHGs in the atmosphere
N2O flux (kg N ha-2 yr-1)
from agriculture
Knowledge Action Group Session at GACSA AF 16th June 2016
Rosenstock et al., 2015
Data and Models
• Models provide robust representation of diverse
farming systems in a wide variety of locations under
both current and likely future climate conditions.
• To calibrate, evaluate, and improve agricultural models,
data are needed at specific sites. Improved models are
then used for regional and global assessments.
• Modeling groups contributing to the generation of
information relevant to CSA include AgMIP, IFPRI, ICRAF,
and GRA.
Knowledge Action Group Session at GACSA AF 16th June 2016
Results from AgMIP Pakistan Regional Research Team, 2015
Online Communities of Practice
• Communities of Practice serve to:
• Make information on climate-smart agriculture and climate
change easily accessible and digestible to practitioners;
• Gather international experts to share their most recent
knowledge through free online seminars;
• Foster knowledge-sharing and collaboration among
practitioners;
• Support collective efforts to influence relevant policy areas;
and
• Increase the visibility of climate change and agriculture at a
global level.
Knowledge Action Group Session at GACSA AF 16th June 2016
FAO’s Mitigation of Climate Change in Agriculture (MICCA)
Program: Gender in Climate-Smart Agriculture Module
Expected Outcomes and Next Steps
• Pilot integrated planning and monitoring tools in local-level CSA implementation projects.
• Conduct stakeholder-driven studies to evaluate their effectiveness, in a range of farming systems in SubSaharan Africa, South Asia, Southeast Asia, and Latin America.
• Test and refine a trial set of indicators for monitoring of sustainability, adaptation, and mitigation.
• Develop regional integrated assessments of climate risks using simulation tools, such as those developed by
AgMIP, CCAFS’s risk-informed modeling approach for decision-making around CSA, and economic expertise
provided by FAO’s Economics and Policy Innovations for CSA (EPIC) program.
Interactions with stakeholders will be an integral part of these studies. The development, implementation,
and results of these studies will be shared widely via the online CSA communities of practice.
Knowledge Action Group Session at GACSA AF 16th June 2016
Thank you for your attention!
For protocols, up-to-date events and news,
and to join AgMIP listserve – www.agmip.org
Knowledge Action Group Session at GACSA AF 16th June 2016