FAO component of the Poverty and Food Insecurity Mapping Project

Lead FAO Unit: SDRN

Project Funding: Government of Norway and FIVIMS

THE FIVIMS GLOBAL GIS DATABASE (FGGD)THE FIVIMS GLOBAL GIS DATABASE (FGGD)

Other main partners: IIASA, CIESIN

The Poverty and Food Insecurity Mapping Project has three components implemented by 9 partners:

COMPONENT 1: Country Case Studies (Task Managers: 7 CGIAR Centers: CIAT, CIMMYT, IFPRI, IITA,ILRI, IRRI, IWMI)

COMPONENT 3: Outreach and Dissemination of the Results (Task Manager: UNEP-GRID-Arendal)

www.povetymap.net

COMPONENT 2: Global Analyses and Databases (Task Manager: FAO/SDRN)

The seven country case studies done by the seven CGIAR Centers:

1. CIAT: Ecuador2. CIMMYT: Mexico3. IFPRI: Malawi4. IITA: Nigeria5. ILRI: Kenya6. IRRI: Bangladesh7. IWMI: Sri Lanka

DEVELOPMENT OF THE FIVIMS GLOBAL GIS DATABASE (FGGD)

The FGGD is a GIS database and modeling framework for better understanding of the global poverty and food insecurity issues in SPATIAL and ENVIRONMENTAL contexts related to agricultural productivity and accessibility.

The main objective of the FAO component:

The main expected use of the FGGD:

to be used as the main Global GIS database needed for implementation of the plans of actions of the three summits.

MILLENIUM WORLD FOOD SUMMIT +5 JOHANNESBURG

SUMMIT SUMMIT

IT IS ESTIMATED THAT THERE ARE OVER 800 MILLION UNDERNOURISHED

AND APPROXIMATELY 2 BILLION POOR PEOPLE

THESE FIGURES ARE BASED ON NATIONAL STATISTICS

BUT, IN ORDER TO UNDERSTAND THE DRIVERS OF HUNGER AND POVERTY

WE ALSO NEED TO KNOW WHERE THEY LIVE

Agroecological zones Marginal and productive lands Major crops and livestock production

systems Market access Livelihood systems

IN PARTICULAR, ...WE NEED TO KNOW WHERE THEY ARE IN RELATION TO:

Poverty mapping: Two approaches Bottom-up approach: Using socio-economic data

aggregated by administrative boundaries such as survey/census data

Top-down approach: Using satellite imagery, existing global environmental maps and GIS models.

LEVEL 3:LEVEL 3: Maps Based on Models: Potential crop zones for 28 major crops

Agro-ecological Zones, Length of Growing PeriodPixel shares of 4 land-use classes: Croplands, Pasture,

Forest and Other LandsEnvironmental Constraints, Multiple cropping zones

LEVEL 2: LEVEL 2: Primary data layers: Soil and terrain properties, Farming system zones, Precipitation,

Temperature, Protected Areas, Irrigated Areas,

LEVEL 1: LEVEL 1: Base Maps:Base Maps: Coastlines, DEM, National and Subnational Boundaries,

LEVEL 4:LEVEL 4:Maps for analysisof vulnerability:

AccessibilityPixel Ag. Economic Value

Actual crop zones for 28 crops Livestock production

Rural Population densityPopulation Density in 2015;

Subnational Nutrition Profiles,

The hierarchy of the maps in FGGD

GRID resolution: 5 arc-minutes

Vector data scale: 1: 5 million

SPATIAL and ENVIRONMENTAL analysis at pixel level:

BARBADOS

Pixelization at 5x5 arc-minutes

Pixelization at 30x30 arc-seconds

Comparison of the two pixel sizes

GIS technology constraints: Low accuracy at low resolution

FAO/UNESCO Soil map of the World

Landscan population density mapUN standard coastlines/country boundaries

GIS technology constraints: maps from different sources may not match

Length of growing period (LGP) zones

Multiple cropping zones – rainfed conditions

1 banana (1 type)2 barley (winter and spring barley combined - 16 types)3 cassava (1 type)4 citrus (1 type)5 cocoa (1 type)6 coffee (robusta and arabica coffee combined – 2 types)7 cotton (7 types)8 groundnut (3 types)9 maize (grain and silage maize combined - 19 types)

10 millet (pearl millet and foxtail millet combined - 9 types)11 oil palm (1 type)12 olive (1 type)13 pulses (phaseolus bean, chickpea and cowpea combined - 17 types)14 rape (8 types)

POTENTIAL SUITABILITY INDEX MAPS COMPLETED FOR 28 CROPS WHICH ACCOUNT FOR ABOUT 70% OF

GLOBAL CROP PRODUCTION

15 rice (indica and japonica wetland rice combined - 8 types)16 rye (winter and spring rye combined - 8 types)17 sorghum (7 types)18 soybean (6 types)19 sweet potato (3 types)20 sugar beet (5 types)21 sugarcane (1 type)22 sunflower (6 types)23 tea (1 type)24 tobacco (4 types)25 vegetables (cabbage, onion and tomato combined – 10 types)26 wheat (winter and spring wheat combined - 16 types)27 white potato (4 types)

28yams (white yam, greater yam, yellow yam and cocoyam (taro) combined - 6 types)

Crops list continued…

Accessibility: Distance to Roads

India: population density in areas > 5 km from roads

India: population density in areas > 5 km from roads

FUTURE WORK: What can we learn by analysing accessibility maps at global scale? e.g. in India, there are approximately 147 million

people (15%) living more than 5 km away from roads.

Accessibility: Distance to Markets

Distance to the coast

FUTURE WORK: What can we learn by analysing environmental maps at global scale?

e.g. one preliminary figure: about 620 million people live in agro-ecological zones, where moisture and temperature allow crop growth for less than 120 days.

incomes of these people have to come mainly from sources other than rain-fed cropping (e.g. irrigated cropping, livestock, etc.)

…and we would like to know what will the number of these people also in 2015.

ARIDITY INDEX

Aridity Index(P/PET)

Croplands Sq. Km.

1 = Hyper-arid (<0.05) 55,737

2 = Arid (0.05-0.20) 685,144

3 = Semi-arid (0.21-0.50) 4,454,108

4 = Dry sub-humid (0.51-0.65) 2,268,655

5 = Humid (>0.65) 8,608,590

6 = Cold (Boreal and Polar Temperatures) 30,815

   

 TOTAL 16,103,049

 

AREA OF CROPLANDS BY ARIDITY INDEX

DRAFTFuture work:

Future work (cont’d):

Do an intervention analysis in vulnerable areas, e.g. comparing various irrigation projects for the percent arid lands and the number of people to be affected

Do a meta analysis of the seven country case studies completed by the CG Centers and 15-20 country level poverty maps done by the WB

Explore how top-down and bottom-up approaches could be combined to complement each other

Important questions to be answered to assist Science Council’s priority setting role are the following:

1. Are most of the poor in a country/region rural or urban?

2. Are most of the rural poor in Favorable Rural Areas (FRA) or in Marginal Rural Areas (MRA)?

3. What are the commodities and farming systems for FRAs in a country? What are the poor’s farming systems in these FRA?

4. What are the commodities and farming systems for MRAs in a country? What are the poor’s farming systems in these MRA?

Thank you.ergin.ataman@fao.org

www.povertymap.net www.fao.org

Combined suitability of Land for rainfed crops and pastures

Nigth lights

CROPLANDS (PERCENT SHARE PER PIXEL)

2 billion people living in extreme poverty ( less than PPP$1/day) at the time of the WFSfyl (2002)