Maps in: North Africa and West Asia

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Length of the temperature-limited growing period

 

Length of the temperature-limited growing period

The climatic growing period is calculated by means of a model developed by the Food and Agriculture Organization of the United Nations (FAO, 1978) to estimate the length of growing period under either moisture-limiting or temperature-limiting conditions, or both. Under rainfed conditions, both moisture and temperature can be limited. Under irrigated conditions, only temperature is to be considered a limiting factor.
The temperature-limited growing period is calculated with reference to a temperature threshold, below which there is no growing period, in this case 5°C, as the contiguous period with mean temperature above 5°C.

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Length of the temperature-limited growing period

The climatic growing period is calculated by means of a model developed by the Food and Agriculture Organization of the United Nations (FAO, 1978) to estimate the length of growing period under either moisture-limiting or temperature-limiting conditions, or both. Under rainfed conditions, both moisture and temperature can be limited. Under irrigated conditions, only temperature is to be considered a limiting factor.
The temperature-limited growing period is calculated with reference to a temperature threshold, below which there is no growing period, in this case 5°C, as the contiguous period with mean temperature above 5°C.

Population density

 

Population density

This map shows population density  as persons per square kilometer. The uneven pattern of large and small polygons is more a reflection of the size of the statistical units available in different countries than of the actual distribution of people.

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Population density

This map shows population density  as persons per square kilometer. The uneven pattern of large and small polygons is more a reflection of the size of the statistical units available in different countries than of the actual distribution of people.

Proportion of underweight children(year 2000)

 

Proportion of underweight children(year 2000)

This map shows the percentage of underweight children. As with the map of population density , the uneven pattern of large and small polygons is an artifact due to differences in the size of the statistical units available in different countries and, while offering a reasonable average, does not necessarily allow a point-exact  estimate of this poverty indicator.

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Proportion of underweight children(year 2000)

This map shows the percentage of underweight children. As with the map of population density , the uneven pattern of large and small polygons is an artifact due to differences in the size of the statistical units available in different countries and, while offering a reasonable average, does not necessarily allow a point-exact  estimate of this poverty indicator.

Relative change in annual trend precipitation 1901-2007

 

Relative change in annual trend precipitation 1901-2007

This map is based on the Full Data Reanalysis Product Version 4 of the Global Precipitation Climatology Centre (GPCC). It has been obtained by linear regression fitted to the 107-year time series of annual precipitation of each 0.5x0.5 degree grid cell by the least-squares method and subsequent resampling to 0.008333 degree (about 1 km) spatial resolution. The map shows the average relative change between 2007 and 1901 in percent per decade (10-year period) as measured along the trend line.
In spite of the high year-to-year variability, there is a clear and often highly significant trend, which is mostly negative (0-5% decrease/decade), with a positive increase in parts of Central Asia. Only in some of the extremely dry parts of the region, this simple linear model leads to an obvious overestimation of change (areas mapped as having 15 to over 30% relative change of annual precipitation per decade).

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Relative change in annual trend precipitation 1901-2007

This map is based on the Full Data Reanalysis Product Version 4 of the Global Precipitation Climatology Centre (GPCC). It has been obtained by linear regression fitted to the 107-year time series of annual precipitation of each 0.5x0.5 degree grid cell by the least-squares method and subsequent resampling to 0.008333 degree (about 1 km) spatial resolution. The map shows the average relative change between 2007 and 1901 in percent per decade (10-year period) as measured along the trend line.
In spite of the high year-to-year variability, there is a clear and often highly significant trend, which is mostly negative (0-5% decrease/decade), with a positive increase in parts of Central Asia. Only in some of the extremely dry parts of the region, this simple linear model leads to an obvious overestimation of change (areas mapped as having 15 to over 30% relative change of annual precipitation per decade).

Soil salinity

 

Soil salinity

This map shows the distribution of salt-affected soils in the region. Using the Fertility Capability Classification (FCC), these soils are defined (Sanchez et al., 1982) as having ‘> 4 dS/m of electrical conductivity of saturated extract at 25°C within 1 m of the soil surface’.
Within the FAO soil classification system these soils are identified as follows:

  • All soils in the Solonchak soil group
  • Other soils with saline phase
  • Salt Flats

The dataset is not up-to-date in respect of salinity which may have developed in irrigated areas since the early 70s, when most of the surveys used by the data source were completed. On the other hand, reclamation works may have reduced salinity or even sodicity in other areas.

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Soil salinity

This map shows the distribution of salt-affected soils in the region. Using the Fertility Capability Classification (FCC), these soils are defined (Sanchez et al., 1982) as having ‘> 4 dS/m of electrical conductivity of saturated extract at 25°C within 1 m of the soil surface’.
Within the FAO soil classification system these soils are identified as follows:

  • All soils in the Solonchak soil group
  • Other soils with saline phase
  • Salt Flats

The dataset is not up-to-date in respect of salinity which may have developed in irrigated areas since the early 70s, when most of the surveys used by the data source were completed. On the other hand, reclamation works may have reduced salinity or even sodicity in other areas.

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