Stars4Water
Element at risk index (2010) - ClimAfrica WP4
The “element at risk index” describes the distribution in 2010 of the density of element (i.e. people, livestock unit or crop land) that are potentially threaded by climatic stress. When a climatic stress impact a densely populated (in terms of element at risk) the impact is likely to be more severe than it would be in areas with fewer element. The index results from the second cluster of the Principal Component Analysis (PCA) performed among potential 10 variables. The analysis identify three dominant variables, namely “people”, “livestock unit” and “crop land”, assigning a weight of 0.3 to people and weights of 0.35 to the other two variables. Before to perform the analysis the variables were log transformed to shorten the extreme variation and then score-standardized (converted to distribution with average of 0 and standard deviation of 1) in order to be comparable. The 0.5 arc-minute grid of population distribution in 2010 were gathered from Worldpop project website. The methodological approach used by Worldpop Project is described in Tatem et al 2007 (DOI: 10.1371/journal.pone.0001298). The values were adjusted in order to have national population totals equal to the UN Population and Demographic Office estimation per Country (World Population Prospect - the 2012 Revision). The 3 arc-minute grid of livestock distribution were gathered from FAO GeoNetwork (cattle, sheep, goats, pigs and poultry distribution), sampled at 0.5 arc-minute. The values were adjusted to national total livestock abundance in 2010 (FAO stats). The single species abundances were converted to livestock unit (LSU) according FAO methodology. The 0.5 arc-minute grid of crop land distribution were collected from FAO Global Land Cover-SHARE of 2014. The area with less than 1 people and 1 LSU for cell (about 1 Km square) and without cropland were masked and removed from the analysis for all layer because considered not exposed to climatic stress.
This dataset has been produced in the framework of the “Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)” project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.
Simple
- Date (Creation)
- 2014-09-01T00:00:00
- Presentation form
- Digital map
- Purpose
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Purpose of WP4 - D4.3 is to establish a medium-term warning system (based on ClimAfrica data) that produces prospective analyses about climate change impacts on agriculture for the next 10 years. This will fill the gap between seasonal scale predictions and long-term impact scenarios, and identify the future Areas of Concerns (AoCs) and likely hotspots of vulnerabilities.
- Status
- Completed
- Maintenance and update frequency
- As needed
- Theme
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population density
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livestock density
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cropland density
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exposure
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WP4
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ClimAfrica
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Tag_climafrica
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- Place
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Africa
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- Access constraints
- Copyright
- Spatial representation type
- Grid
- Distance
- 30 arc/sec
- Metadata language
- English
- Character set
- UTF8
- Topic category
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- Society
))
- Supplemental Information
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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
- GCS WGS 84 (EPSG Ellipsoid 7030)
- Distribution format
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(
GeoTiff
)
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(
GeoTiff
)
- OnLine resource
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ClimAfr11_element_at_risk_index.zip
(
WWW:DOWNLOAD-1.0-http--download
)
Element at risk index (2010)
- OnLine resource
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geonetwork:climafr11_elementatrisk_index_48373
(
OGC:WMS-1.1.1-http-get-map
)
Element at risk index (2010)
- OnLine resource
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Scenarios of major production systems in Africa
(
WWW:LINK-1.0-http--link
)
Project deliverable D4.1 - Scenarios of major production systems in Africa
- OnLine resource
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CLIMAFRICA – Climate change predictions in Sub-Saharan Africa: impacts and adaptations
(
WWW:LINK-1.0-http--link
)
Climafrica Website - Climate Change Predictions In Sub-Saharan Africa: Impacts And Adaptations
- File identifier
- 143d6d51-ea30-496b-aad4-5dede21fb0fa XML
- Metadata language
- English
- Character set
- UTF8
- Date stamp
- 2023-01-24T08:48:36
- Metadata standard name
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ISO 19115:2003/19139
- Metadata standard version
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1.0
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