Summary Report

Report generation is performed with a selected criterion from the set of dropdown menus, summarizing AEZ results data. While “Summary Report” module summarized AEZ results for a selected single scenario, “Summary Report Comparison” module allows comparison of AEZ results of two selected scenarios. All summary reports can be generated under regional, provincial and district administrative levels.

All data are summarized under three main thematic areas as below,

Land Resources – This section includes multiple spatial layers of climate, terrain, water, land cover, etc. which are used for estimating crop suitability and potential yields.
Agro-Climatic Resources - This section includes relevant characteristics of prevailing thermal and moisture regimes and growing periods which are used for estimating crop suitability and potential yield in intermediate levels.
Suitability & Potential Yield – This section includes the possible upper limit to produce individual crops under given agro-climatic, soil and terrain conditions for a specific management and input levels.

Summary data are visualized with appropriate graphs with option to download the data in tabular format. In case of “Summary Report Comparison” module, comparative results are generated with difference values producing delta tables which allow quick comparison of two selected scenarios. PDF file of the whole report can also be downloaded.

Please select scenarios that you want to generate summary reports,

Land Resources Data

As the social-economic and institutional factors play a crucial role, the availability and quality of land and water resources are essential for food production and food security. Agro-ecologicalZoning (AEZ) provides a framework for establishment of as partial inventory of land resources compiled from global or local environmental datasets, providing the spatial characteristics required for land productivity assessments for location-specific agro-ecological conditions. The land resources inventory includes multiple spatial layers of climate, soil, terrain, water,land cover, protected areas, population density, livestock density

Agro Climatic Data

Temperature regimes, solar radiation and soil moisture determine photosynthesis, which allows plants to accumulate dry matter throughout the plant development stages. Data on climatic requirements of crop growth, development and yield formation are the basis for the compilation of AEZ agro-climatic inventories using several climatic variables (e.g. temperature, precipitation, sunshine fraction, relative humidity). These inventories include agronomically relevant characteristics of prevailing thermal and moisture regimes, and growing periods. The summary of disstribution of ten of these agro-climatic indicators are shown in this section with respect to land cover classes, moisture classes and altitude classes.

Yield and Suitability Data

Crop cultivation potential describes the agronomically possible upper limit to produce individual crops under given agro-climatic, soil and terrain conditions and applying specific management assumptions and agronomic input levels. Soil moisture conditions together with other climate characteristics (radiation and temperature)observed during different crop development stages are used in an eco-physiological crop growth model to calculate potential biomass production and yield. Theconstraint-free crop yields calculated in the AEZ biomass model reflect yield potentials with regard to temperature and radiation regimes prevailing in each grid-cell.Maximum biomass and yields depend on the timing of the crop growth cycle (crop calendar) and are separately calculated for irrigated and rain-fed conditions.

Crop specific requirements are individually matched with temperature regimes prevailing in individual grid-cells. Matching is tested for the full range of possible starting dates. For rain-fed conditions the crop calendar resulting in the highest expected (water-limited) yield is selected to represent maximum attainable bio massand yield of the respective crop in a particular grid-cell. The estimation of yield losses due to water stress is based on crop-specific water balances. Yield estimation forirrigation conditions assumes that irrigation will be scheduled such that no yield-reducing crop water deficits occur during the crop growth cycle.

Yield reductions due to the constraints induced by soil limitations and prevailing terrain-slope conditions are quantified separately for soils and terrain-slopes. The soil suitability is assessed through crop specific evaluations of seven major agronomic soil qualities estimated from soil attributes available in the soil database. Soil qualities include soil nutrient availability, soil nutrient retention capacity, soil rooting conditions, soil oxygen availability, presence of lime and gypsum, presence of soil salinity and sodicity, and soil management/workability constraints. Results are combined into a crop and input level specific edaphic suitability rating. Grid cells can be made up of multiple soil types and terrain slope classes and the assessment assigns an estimate to each of these components, which produces a distribution of results falling into different suitability classes, as follows:

Acronym	Suitability description	Farm economics
VS	Very suitable land (80-100 %)*	Prime land offering best conditions for economic crop production
S	Suitable land (60—80%)	Good land for economic crop production
MS	Moderately suitable land (40-60%)	Moderate land with substantial climate and/or soil/terrain constraints requiring high product prices for profitability
mS	Marginally suitable land (20-40%)	Commercial production not viable. Land could be used for subsistence production when no other land is available
VmS	Very marginally suitable (< 20%)	Economic production not feasible
NS	Not suitable	Production not possible

* Percentage attainable for a soil/slope combination in a particular grid cell is calculated relative to LUT maximum attainable yield

The step-wise assessment provides comprehensive results on agro-ecological suitability and productivity. Maps and tables summarize for each crop the suitable extents and attainable yields, various constraint factors and aggregate simulated water deficits and evapotranspiration.

Class	Agro-ecological Zone	Description
1	TZ1	No cropping
2	TZ2-IRRIG	Irrigated soils
3	TZ2-MST2	Arid - Arable soils
4	TZ2-MST3	Dry Semi-arid - Arable soils
5	TZ2-MST4	Semi-arid - Arable soils
6	TZ3-IRRIG	Irrigated soils
7	TZ3-MST2	Arid - Arable soils
8	TZ3-MST3	Dry Semi-arid - Arable soils
9	TZ3-MST4	Semi-arid - Arable soils
10	TZ4-IRRIG	Irrigated soils
11	TZ4-MST2	Arid - Arable soils
12	TZ4-MST3	Dry Semi-arid - Arable soils
13	TZ4-MST4	Semi-arid - Arable soils
14	MST1	No rain-fed cropping
15	Steep terrain	Terrain slopes exceeding 30% for more than 90 percent of grid-cell
16	Poor soil	Soils/terrain with very severe limitations (edaphic evaluation < 30 in range of 0 - 100)
17	Water	Rivers, lakes, riverbanks
18	Built-up

References

GAEZ v4 Themes - https://gaez-data-portal-hqfao.hub.arcgis.com/pages/modules
AGRO-ECOLOGICAL ZONING ATLAS - http://www.fao.org/3/ca6889en/ca6889en.pdf
Global Agro-ecological Zones: Model Documentation - http://pure.iiasa.ac.at/id/eprint/13290/1/GAEZ_Model_Documentation.pdf

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Summary Report

Land Resources Data

Agro Climatic Data

Yield and Suitability Data

References