Hamid MAHYOU
National Institute for Agronomic Research - Morocco
COP22 Session - Novembere 16th 2016, Coping with Climate Change in the Middle East and North Africa (MENA) Region Meeting future food demand through SCIENCE & INNOVATION
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Climate Risk Management: Experience of Morocco
1. Hamid MAHYOU
National Institute for Agronomic Research - Morocco
www.inra.org.ma
COP22 Side Event, 16 November 2016, Marrakesh, Morocco
2. In Morocco, agriculture is an important sector for the national economy.
Its contribution to the Gross Domestic Product (GDP) ranges from 15 to 20% depending on the
seasons.
Agriculture (including fishing) is the first sector provider of employment (38% of national
employment and 75% of employment in rural areas).
The sector plays an important role in terms of food security and sustainable development.
In Morocco, as in most of the Mediterranean countries, the cereal system (i.e.
cereals/livestock/olive tree) is predominant.
Climate information is a prerequisite for managing
agricultural climate risks in Morocco.
3. 3
Source: Min. of Agriculture
41
21
10
8
6
4 3 2
7
OthersHailFloodsFrostWater stressHigh
temperatures
Hot windsPests and
diseases
Meteorological
drought
80%
- Humidity
- Pollution
- Fires
- Strong winds
- Cold
4. Climate services for the agricultural sector are in development since the
beginning of the 1990s in Morocco, thanks to a strong collaboration
between the Min. of Agriculture, the Met. Administration and European
and international research and development institutions, since the
2000s.
Innovative tools (MOSAICC, CGMS) have been already developed in
Morocco for impact assessment purposes and index-based crop
insurance.
6. "Modelling System for Agricultural Impacts of Climate Change" (MOSAICC)
http://www.changementclimatique.ma/ ;
Crop monitoring and forecasting system of Morocco (CGMS-Maroc)
http://www.cgms-maroc.ma/.
10. The water balance for the MIROC-ESM (top), CanESM2 (middle)
and MPI-ESM-LR (bottom) for the RCP4.5 (top of each GCM) and
the RCP8.5 (bottom of each GCM) scenarios for the periods 2010-
2040, 2040-2070 and 2070-2100. The data were compared to the
historical data of each GCM. Positive values indicate an increase
in water availability compared to the 1971 – 2000 period, negative
values a decrease.
www.changementclimatique.ma
11. Comparison of species distribution in
the forest of Maâmora without
disturbance, 2010/2090 (Model
CanESM2)
www.changementclimatique.ma
12.
13. Weather indicators:
• Rainfall
• T° max, T°min, T° avg
• ET0
• Rain/ET0
• Radiation
• Etc.
Vegetation indicators:
• NDVI (SPOT & Proba-V)
Simulation model indicators:
• Water limited yield biomass
• Water limited yield storage
• Relative soil moisture
• Etc.
At grid level, and then aggregated at administrative levels (region, province, commune)
28 indices
CGMS-MAROC project : The official cereal yield forecasting system
20. Conclusion
There is a need for more collaboration and capacity building, for addressing the wide
scope of climate services needs.
There is a need for reinforcing the meteorological network to cope with spatial
climate variability in Morocco.
The Moroccan experience could serve other countries in Africa (Triple A initiative).