Previous: Case study: Sunflower productivity in Spain Next: Inspecting the weather data Table of contents Index Glossary Images Frames U09-NRM-127: The role of Distributed Data Access Technologies in NRM - for ITC-IDV version 2.7 > Thematic Expert Models > Food security > Biophysical Production Simulations > Case study: Sunflower productivity in Spain

7.0.1.2.0 Background
This case study is about the Sunflower in Andalucia. Andalucía is an autonomous community in the southernmost part of Spain with 87,268 km2 of area. It comprises of eight provinces and the capital is Seville. Andalucia lies between the latitude of 37o35 N to 05o00 W and consists of 770 municipalities distributed in eight provinces. One third of the region is over 600 meters above sea level, which has important effects on climatic conditions and vegetation (Figure 2). The Mediterranean climate of Andalucia consists of mild, rainy winters and hot, dry summers during which day time temperature exceeds 35o C. The annual rainfall ranges from 2000 mm in the Gazalema Mountains to 250 mm in the steppes of Almeria. Agriculture plays an important role in Andalucía: mainly grains (370000 ha of wheat), sunflower (94000 ha), orange (7600 ha), olives (350000 ha), grapes (8,500 ha), cotton (46000 ha) and maize (28000 ha) and rice 29000 (ha) are cultivated. About 67% of the region is utilized for agricultural purposes of which 12.4 % is for olive farming.
Agricultural Areas based on CORINE land cover 2000 of Andalucia with map of Spain in the subset.
Image 1: Agricultural Areas based on CORINE land cover 2000 of Andalucia with map of Spain in the subset.
The Rainfed Sunflower Map in (Fractions, %) per Km2 is shown in the below figure in order to give you an idea that where the rainfed sunflower is actually present in the study area.
Rainfed Sunflower Map in (Fractions, %) per Km2, Andalucia.
Image 2: Rainfed Sunflower Map in (Fractions, %) per Km2, Andalucia.
General Crop Calendar Practiced in Andalucia.
Image 3: General Crop Calendar Practiced in Andalucia.
Now you Can go to Data Preparation, where you will be told what type of data is required and in what format and how to work with it. In table Andalucia_Sunflower_06, the data about weather parameter is given for the year 2006. You have to run PS-1 and PS-2 to predict the rainfed sunflower yield for year 2006. Installing local datasets.

The workshop is broken down into the following major sections:

 


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U09-NRM-127: The role of Distributed Data Access Technologies in NRM - for ITC-IDV version 2.7 > Thematic Expert Models > Food security > Biophysical Production Simulations > Case study: Sunflower productivity in Spain