2.2 Study Area

The states of Piauí and Ceará in the northeast of Brazil were chosen for the study because: Figure 2 gives an overview on the investigation area and the selected transect. Table contains the main characteristics of the two states.
 
Fig. 2: Study area

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Piauí Ceará
Area 250.934 km2 148.016 km2
Inhabitants 2.616.900 (10/km2) 6.626.235 (45/km2)
Capital Teresina Fortaleza
Industry weakly developed moderately developed
Agriculture maize, beans, rice, cashew, cowpea, sugar cane, cotton
Climate - changing trade-wind belt climate

- little rain during winter p.a. 1500 mm (north) 500 mm (southeast)

- Tmean ~ 26oC

According to the working methods and contents of the different disciplines, work within the project is carried out on different scales. This depends very much on the testing of different scaling methods, in order to be able to guarantee the transferability of individual results to other scales. These scales reach from macroscale (federal state) over mesoscale (region) to microscale (municipio). The different scales are combined with each other by upscaling and downscaling. This means that each discipline has its own preferred scale, but however, that the other scales have also be considered. This is necessary since there are questions on the macroscale that can only be answered by including the microscale and vice versa. In order to guarantee the integration of the results and thus also the success of the whole project, the municipio was determined as the smallest common geographical reference unit.

Along a climate gradient (approx. 600 - 900 mm mean annual sum of precipitation), three reference areas (Projeto Piloto/Vale do Gurguéia, Picos and Tauá) were selected (Figure 2) whose ecological and socio-economic characteristics lead us to expect a good transferability of the investigation results to other regions in the northeast of Brazil. This reference area is compulsory for all disciplines. An extension of the transect into moister or drier areas is also possible.
 

More information 3 - Organisational structure