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Inventory of Post-War Situation of Land Resources
in Bosnia and Herzegovina Part 1 Introduction Databases
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Inventory of Post-War Situation of Land Resources
in Bosnia and Herzegovina Start of operation: 3rd of July 2000 Overall budget: 1,013,110 USD
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National Partners Agropedology Institute of Sarajevo
Agricultural Institute of Banja Luka Dept. of Agrochemistry and Agroecology Agronomic Institute of Mostar University
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PROJECT OBJECTIVES To provide information on land resources, capability and risks as a tool for a better knowledge of the territory and a proper allocation of resources to the agricultural sector. to reinforce the national institutes : laboratory, IT and GIS equipment training staff in the application of international methodologies for the evaluation and interpretation of databases on land resources
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PRODUCTS – primary data
Databases: Soil and Terrain (SOTER) Climate Maps (1:200000): Land resources Land cover/use Primary data means data coming from existing primary sources (maps, records, images)
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PRODUCTS – secondary data
Agro-ecological Zoning Maps Model Secondary data means obtained by processing the primary data
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PRODUCTS – secondary data
Agro-ecological Zoning Maps Model Mine risk assessment Secondary data means obtained by processing the primary data
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Soil and Terrain database – SOTER
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Soil and Terrain database – SOTER
Relational database – data can be stored and retrieved easily with no duplication The SOTER methodology has been applied for the first time on the territory of BiH, following the PROCEDURE MANUAL (FAO 1995). The methodology was created for 1: scale, but can be applied up to 1: scale level. The following maps and data have been used to compile the database: · Soil map of BiH at 1:50000 · Topographic Map of BiH at 1:25000 · Geologic Map of BiH at 1:100000
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Data used in identifying and defining SOTER units
Teren Terrain 1. SOTER jedinica ID SOTER unit-ID 2. godina uzimanja podataka 2. year of data collection 3. karta ID map-ID 4. minimalna visina 4. minimum elevation 5. maksimalna visina 5. maximum elevation 6. gradijent nagiba slope gradient 7. intenzitet reljefa relief intensity 8. glavna forma zemljišnog prostora 8. major landform 9. regionalni nagib 9. regional slope 10. hipsometrija hypsometry 11. disekcija dissection 12. generalna litologija general lithology 13. permanentna vodna površina 13. permanent water surface Here are the type of data stored in the SOTER database HIDDEN
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Data used in identifying and defining SOTER units
Terenska komponenta Terrain component 14. SOTER jedinica ID SOTER unit-ID 15. broj terenske komponente 15. terrain component number 16. dio SOTER jedinice proportion of SOTER unit 17. podaci o terenskoj komponenti ID 17. terrain component data-ID HIDDEN
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Data used in identifying and defining SOTER units
Podaci o terenskoj komponenti Terrain component data 18. podaci o terenskoj komponenti ID 18. terrain component data-ID 19. dominantni nagib dominant slope 20. dužina nagiba length of slope 21. forma nagiba form of slope 22. lokalni oblik površine local surface form 23. prosječna visina average height 24. pokrovnost coverage 25. površinska litologija surface lithology 26. teksturna grupa nekonsolidovanog texture group non-consolidated matičnog supstrata parent material 27. dubina stijene depth to bedrock 28. površinska dreniranost surface drainage 29. dubina podzemne vode depth to groundwater 30. čestoća poplava frequency of flooding 31. trajanje poplava duration of flooding 32. početak poplava start of flooding HIDDEN
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Soil and Terrain database – SOTER
Type of data Here is the list of the tables of data that make up the SOTER database (MS Access). However, not all the table have been actually used in our work: Yellow: internal codes Orange: not useful for our work Red: not filled because information present in other part of our work Green: used
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SOTER units description
Correlation of national soil classification with FAO classification Adaptation of data from soil map of BIH according to the SOTER guidelines For a proper description of the SOTER units, we needed to corralate the present national soil classification with the FAO classification, and to adapt the old format of some data according to the SOTER guidelines.
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2 2 5 4 1 11 6 3 7 10 12 This is an example of the SOTER units drawn on top of the soil map 7 9 13 14 8
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SOTER database 280 SOTER units about 200.000 parameters
profiles horizons Representative profiles with defined horizons Reference profiles with defined horizons TOTAL Representative profiles are those that represent and identify the characteristics of a specific soil component. The reference profiles provide information on the range of variability within each component
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Soil and Terrain database – SOTER
Uses and Findings Statistics on soil and terrain characteristics Production of thematic maps Selection of specific data
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SOTER contains data on 3099 soil profiles, with more than 10000 horizons.
More than data are stored in the database, each of which is mappable.
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Here is a table representing the distribution of the soil units according to the FAO classification in BIH.
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Climatic database
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Climatic database Structure APT4 Simple table
The climatic database ahs been created through a specific software called APT4. It allows to store and process climatic data in order to get the information needed for the implementation of the AEZ system. The data can be retrieved from the APT4 in form of simple tables.
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Climatic database Type of data wind speed (m/s) precipitation (mm)
mean temperature (oC) mean max. temperature (oC) mean min. temperature (oC) relative humidity (%) wind speed (m/s) insolation (hours) Seven types of data have been stored in the database. Some of them needed to be calculated from raw basic data.
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Climatic database Type of data Ivan Sedlo Jajce Kalinovik Livno Mostar
Data from 20 meteorological stations in BiH (1960 – 2000) Ivan Sedlo Jajce Kalinovik Livno Mostar Sanski Most Sarajevo Sokolac Tuzla Zenica Banja Luka Bihać Bileća Bijeljina Bjelašnica Bosanska Dubica Bugojno Butmir Doboj Drvar Meteorological data have been collected for 20 stations over 40 years, although some data is missing for some station during the war time.
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Climatic data analysis
Calculation potential evapotranspiration water balances potential biomass and yield mechanised farming The climatic data have been processed with APT4. The results have been used as inputs for the AEZ methodology. biological farming inputs for AEZ (GIS)
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Map have been drawn also for climatic information
Map have been drawn also for climatic information. This is the total precipitation.
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This is the length of growing period, an important parameter for the AEZ.
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