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Vulnerable populations (person/km2) in East Africa - ClimAfrica WP5

In defining vulnerability, WFP (2009) and IFPRI (2012) have been followed and combined with indicators for food security with health indicators that signal vulnerability in a physical sense. IFPRI's Global Hunger Index uses three indicators to measure hunger: the number of adults being undernourished, the number of children that have low weight for age, and child mortality. Other classifications of food security use the variety of the diet as an indicator, combined with anthropometric data on children. However, in the DHS data there were no information available on child mortality, nor on dietary composition. Given these data limitations, data on nutritional status of women (Body Mass Index, BMI) for women and children (weight for age) have been used as indicators for food security. These data were combined with data on morbidity among adults and children, specifically the occurrence of malaria, cough, and diarrhea. Combinations of indicators have led to a classification of households as being very vulnerable, vulnerable, nearly vulnerable and not vulnerable. The Afrobarometer surveys did not include data on the BMI of adults nor weights for children. Here, the reported times the household went without food in the year were used prior to the date the survey was conducted as vulnerability indicator. The study area of households vulnerability included: rural, urban and total population.

This data set was produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 5 (WP5). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.


This study in WP5 aimed to identify, locate and characterize groups that are vulnerable for climate change conditions in two country clusters; one in West Africa (Benin, Burkina Faso, Côte d'Ivoire, Ghana, and Togo) and one in East Africa (Sudan, South Sudan and Uganda). Data used for the study include the Demographic and Health Surveys (DHS) , the Multi Indicator Cluster Survey (MICS) and the Afrobarometer surveys for the socio-economic variables and grid level data on agro-ecological and climatic conditions.

Simple

Date (Creation)
2013-08-01T22:00:00
Edition

First

Presentation form
Digital map
Purpose

WP5 deals with economic assessment of agriculture and water sector based on a Computable General Equilibrium analysis (ICES) to produce the "inaction" and the adaptation scenarios, for direct climate change impacts on agricultural activity and on the direct cost and effectiveness of adaptation strategies. The main advantage of this investigation approach is to depict the economy as a system where goods and factor markets interacts domestically and internationally. Price effects, competitiveness effects, and demand & supply adjustments triggered by impacts on the agricultural sector can thus be properly captured. Moreover, the spatially explicit and dynamic economic modeling of vulnerability will have to accommodate bio-physical vulnerabilities.

Status
Completed
Originator
  Centre for World Food Studies (SOW-VU) - Lia van Wesenbeeck
De Boelelaan 1105 1081 HV , Amsterdam , 1081 HV , Netherlands
Point of contact
  Centre for World Food Studies (SOW-VU) - Ben Sonneveld
Maintenance and update frequency
As needed
Theme
  • degradation index

  • soil degradation

  • land degradation

  • GLASOD

  • WP5

  • ClimAfrica

  • Tag_climafrica

Place
  • Africa

  • Sudan

  • South Sudan

  • Uganda

Access constraints
Copyright
Spatial representation type
Grid
Distance
10  Km
Metadata language
English
Character set
UTF8
Topic category
  • Society
  • Health
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S
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Supplemental Information

ClimAfrica was an international project funded by European Commission under the 7th Framework Programme (FP7) for the period 2010-2014. The ClimAfrica consortium was formed by 18 institutions, 9 from Europe, 8 from Africa, and the Food and Agriculture Organization of United Nations (FAO).


ClimAfrica was conceived to respond to the urgent international need for the most appropriate and up-to-date tools and methodologies to better understand and predict climate change, assess its impact on African ecosystems and population, and develop the correct adaptation strategies. Africa is probably the most vulnerable continent to climate change and climate variability and shows diverse range of agro-ecological and geographical features. Thus the impacts of climate change can be very high and can greatly differ across the continent, and even within countries.


The project focused on the following specific objectives:


1. Develop improved climate predictions on seasonal to decadal climatic scales, especially relevant to SSA;


2. Assess climate impacts in key sectors of SSA livelihood and economy, especially water resources and agriculture;


3. Evaluate the vulnerability of ecosystems and civil population to inter-annual variations and longer trends (10 years) in climate;


4. Suggest and analyse new suited adaptation strategies, focused on local needs;


5. Develop a new concept of 10 years monitoring and forecasting warning system, useful for food security, risk management and civil protection in SSA;


6. Analyse the economic impacts of climate change on agriculture and water resources in SSA and the cost-effectiveness of potential adaptation measures.


The work of ClimAfrica project was broken down into the following work packages (WPs) closely connected. All the activities described in WP1, WP2, WP3, WP4, WP5 consider the domain of the entire South Sahara Africa region. Only WP6 has a country specific (watershed) spatial scale where models validation and detailed processes analysis are carried out.

Reference system identifier
WGS 1984
Distribution format
  • ASCII format ( )

OnLine resource
VVRUE.zip ( WWW:DOWNLOAD-1.0-http--download )

Very vulnerable rural population, persons/km2

OnLine resource
VRURE.zip ( WWW:DOWNLOAD-1.0-http--download )

Vulnerable rural population, persons/km2

OnLine resource
BVRUE.zip ( WWW:DOWNLOAD-1.0-http--download )

Nearly vulnerable rural population, persons/km2

OnLine resource
NVRUE.zip ( WWW:DOWNLOAD-1.0-http--download )

Not vulnerable rural population, persons/km2

OnLine resource
VVURBE.zip ( WWW:DOWNLOAD-1.0-http--download )

Very vulnerable urban population, persons/km2

OnLine resource
VURBE.zip ( WWW:DOWNLOAD-1.0-http--download )

Vulnerable urban population, persons/km2

OnLine resource
BVURE.zip ( WWW:DOWNLOAD-1.0-http--download )

Nearly vulnerable urban population, persons/km2

OnLine resource
VVTOTE.zip ( WWW:DOWNLOAD-1.0-http--download )

Very vulnerable population, persons/km2

OnLine resource
VTOTAE.zip ( WWW:DOWNLOAD-1.0-http--download )

Vulnerable population, persons/km2

OnLine resource
BVTOTE.zip ( WWW:DOWNLOAD-1.0-http--download )

Nearly vulnerable population, persons/km2

OnLine resource
D_5.2.1.pdf ( WWW:DOWNLOAD-1.0-http--download )

A spatially explicit assessment of specific vulnerabilities of the food system due to climate change and the identification of their causes; Technical report

OnLine resource
Scenarios of major production systems in Africa ( WWW:LINK-1.0-http--link )
OnLine resource
CLIMAFRICA – Climate change predictions in Sub-Saharan Africa: impacts and adaptations ( WWW:LINK-1.0-http--link )
File identifier
18ab4c59-1836-4b7b-8b7f-99872b326c73 XML
Metadata language
English
Character set
UTF8
Date stamp
2023-01-31T12:33:30
Metadata standard name

ISO 19115:2003/19139

Metadata standard version

1.0

Point of contact
  FAO-UN - FAO-Data
Viale delle Terme di Caracalla , Rome , 00153 , Italy
 
 

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Spatial extent

N
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Keywords

ClimAfrica GLASOD Tag_climafrica WP5 degradation index land degradation soil degradation

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