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Integration of indicators on
agriculture-related damage and losses
due to the impacts of disasters and
climatic events into the DesInventar
database
Presented by -
Rajesh Sharma
Bureau for Policy and Programme Support
UNDP Bangkok Regional Hub, Thailand
Webinar on CIS and NAP
17 August 2017
Presentation Outline
 What is disaster loss and damage database
 Current status of disaster loss and damage
database in Uganda
 Integration of agriculture related indicators
in loss and damage database in Uganda
 Next steps
What is disaster loss and damage database?
 Data about occurrences and impacts of all
types of disasters (small, medium, large) is
systematically collected
 Data is captured over a period of time and
lower level administrative unit
 It stores, compiles data and allows retrieval of
data and information for visual presentation of
data in a variety of ways (charts, graphs, maps)
 Entire data and information is shared with all
stakeholders in real time
 Analysis of data is undertaken over a period of
time and space to understand patterns and
trends of risks
Types of data captured by the databases
 Data captured at high resolution – sub-district level
 Information about occurrences and impacts are
captured over a long period of time (20-30 years)
 Direct impacts of an event
 Event details (date, location, intensity)
 Population affected – gender disaggr. (death, injured, affected, …)
 Damages and losses to sectors (agricultrure, education, health, etc.)
 Analysis undertaken at provincial, district and
sub-district levels to derive emerging trends and
patterns of events and impacts to feed into national
and sub-national planning
UNDP’s work on
disaster loss and
damage databases
5
Disaster databases in Asia and Africa
- In Asia, UNDP started supporting pilot
implementation in 2002 in Odisha
(India)
-Asia - Engaged in 15 countries
-Africa – Sudan and Uganda
Current status of disaster loss and damage
database in Uganda
 In 2011, an online generic database
established and populated with data cards
(2,915 as of Jul 2017)
 The database was established under
NECOC/ OPM and periodically the database
was updated with new records
 The database is not configured to the
context of Uganda
 None of the data was used for supporting
any planning and decision-making in the
country
 No capacity development for collection,
archival and analysis of loss & damage data
Integration of Agriculture
related indicators in the
database
8
Indicators for agriculture sectors
 Crops
 Livestock
 Agriculture-Infrastructure
Indicators for agriculture sectors (2)
 Crops - Maize, Cassava, Banana, Rice,
Sorghum, Groundnuts, Cotton, Tea, Coffee,
Sugarcane
 Livestock - cattle (indigenous), cattle
(exotic/ cross), goat (indigenous), goat
(exotic/ cross), Poultry, Sheep, Pigs
 Agriculture-Infrastructure – agri-wells, bore
wells, fish ponds, apiaries, water tanks,
granaries, warehouses, market structures
Next steps
 Finalize indicators for the agricultural sector
 Establish and institutionalize national disaster
loss and damage database at NECOC/ OPM
 Configure and customize the database to the
country context
 Collect historical data and enter in the
database
 Undertake analysis and share with key
stakeholders (MAAIF, NECOC, and others)
Questions/ Comments?
Rajesh Sharma
(rajesh.sharma@undp.org)
Twitter @hsejar2010

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Integration of Indicators on Agriculture-related Damage and Losses

  • 1. Integration of indicators on agriculture-related damage and losses due to the impacts of disasters and climatic events into the DesInventar database Presented by - Rajesh Sharma Bureau for Policy and Programme Support UNDP Bangkok Regional Hub, Thailand Webinar on CIS and NAP 17 August 2017
  • 2. Presentation Outline  What is disaster loss and damage database  Current status of disaster loss and damage database in Uganda  Integration of agriculture related indicators in loss and damage database in Uganda  Next steps
  • 3. What is disaster loss and damage database?  Data about occurrences and impacts of all types of disasters (small, medium, large) is systematically collected  Data is captured over a period of time and lower level administrative unit  It stores, compiles data and allows retrieval of data and information for visual presentation of data in a variety of ways (charts, graphs, maps)  Entire data and information is shared with all stakeholders in real time  Analysis of data is undertaken over a period of time and space to understand patterns and trends of risks
  • 4. Types of data captured by the databases  Data captured at high resolution – sub-district level  Information about occurrences and impacts are captured over a long period of time (20-30 years)  Direct impacts of an event  Event details (date, location, intensity)  Population affected – gender disaggr. (death, injured, affected, …)  Damages and losses to sectors (agricultrure, education, health, etc.)  Analysis undertaken at provincial, district and sub-district levels to derive emerging trends and patterns of events and impacts to feed into national and sub-national planning
  • 5. UNDP’s work on disaster loss and damage databases 5
  • 6. Disaster databases in Asia and Africa - In Asia, UNDP started supporting pilot implementation in 2002 in Odisha (India) -Asia - Engaged in 15 countries -Africa – Sudan and Uganda
  • 7. Current status of disaster loss and damage database in Uganda  In 2011, an online generic database established and populated with data cards (2,915 as of Jul 2017)  The database was established under NECOC/ OPM and periodically the database was updated with new records  The database is not configured to the context of Uganda  None of the data was used for supporting any planning and decision-making in the country  No capacity development for collection, archival and analysis of loss & damage data
  • 8. Integration of Agriculture related indicators in the database 8
  • 9. Indicators for agriculture sectors  Crops  Livestock  Agriculture-Infrastructure
  • 10. Indicators for agriculture sectors (2)  Crops - Maize, Cassava, Banana, Rice, Sorghum, Groundnuts, Cotton, Tea, Coffee, Sugarcane  Livestock - cattle (indigenous), cattle (exotic/ cross), goat (indigenous), goat (exotic/ cross), Poultry, Sheep, Pigs  Agriculture-Infrastructure – agri-wells, bore wells, fish ponds, apiaries, water tanks, granaries, warehouses, market structures
  • 11. Next steps  Finalize indicators for the agricultural sector  Establish and institutionalize national disaster loss and damage database at NECOC/ OPM  Configure and customize the database to the country context  Collect historical data and enter in the database  Undertake analysis and share with key stakeholders (MAAIF, NECOC, and others)