Prof. Dr Željko Vaško Doc. Dr Tihomir Predić MSc Boris...

Prof. Dr Željko VaškoDoc. Dr Tihomir PredićMSc Boris Marković

First Interim Meeting of the Regional Expert Advisory Working Group on Areas with Natural Constrains

29th June – 01th July, 2016Andrevlje, Serbia

REPUBLIC OF SRPSKA ENTITYA very hilly country with the Dinaric mountains dominating the landscape. The highest point, Mt. Maglic, rises to 2,387m. Thick forests cover almost 50% of the land. In the north, along the Sava River valley, fertile plain stretches east to west.

Area 24 667 km2Inhab. – 1.39 mil

Draft country reports , Bosnia and Herzegovina Republic of Srpska – ANC,

29th June – 01th July, 2016, Andrevlje, Serbia

Republika Srpska – Spatial data overview

Basic topography and administrative unitsMunicipality level



Cadastaral municipalities



• Digital terrain model at various scale• 20 m pixel size was used for preliminary ANC

analyses



CODE DESCRIPTION

211 Non-irrigated arable land

221 Vineyards

222 Fruit trees and berry plantations

231 Pastures

242 Complex cultivation patterns

243

Land principally occupied by

agriculture, with significant areas of

natural vegetation

321 Natural grasslands

In next step all polygons were aggregated as agricultural land in one feature with area 1.029.087 ha (aprox 40% of total area of RS)



• DTM – 20m pixel and analyses functions derived several facts• Area above 1000 m in total is 507.063 ha, whereof area of

agricultural land is 121 797 ha (less than 10% of a.land), and total area above 15% slope is 1.485.695 ha whereof area of agricultural land is 411 597 ha (40% of a.land).



Funded bythe Government of Italy

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Soil

Land

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Climatic

data

Land

mines

risk

Land

cov

er

/ Land

use

Land

suita

bility

R 1:200 000



Inventory of post war situation of land resourcesin Bosnia and Herzegovina

2000 - 2007

Conceptual Diagram For GIS and Land/Crop Suitability Model

Soil Map

ClimaticStationRecords

Digital ElevationModel (DEM)

Soil ProfileAttributes

Crop/LUTRequirements

Database

LandsatImage

Land MinesAdministrative Units

Land and CropSuitability

Model

Soils

Land Elevation

Slope

Aspect

ClimateStations

Thermal Growing Period Zones

MoistureGrowing Period Zones

Land Use/Land Cover

Soter

Terrain Suitability

Soil Suitability

Climatic Suitability

Overall Suitability

Land Use/Land Cover Suitability

Crop/Land Suitability and Yield Database

Land Use Planning

ApplicationsGIS Layers Procedure

Data Source/ Database

GIS Procedure



Main consistent source of soil data was produced trough Soil map of SFRJ 1:50 000. BiH was covered with 71 sheet (whole) and 45 sheets combined with other Republic. Methodology was agreed in 1964, and preparation (printing) of the maps was completed until 1980. Density of profiles was aprox 1/100 ha, and data were printed as annex.

SOIL DATA



Federal Institute for Agropedology Sarajevo performed digitization of the Basic Soil Map. Only data on the type of soil according to FAO and the NationalClassification were entered in polygons.

SOIL DATA





SOIL DATA – SOTER BASE

In 2009, the PI Agricultural Institute of RSprepared a strategic document for theMinistry of Agriculture, Forestry and WaterManagement of Republic of Srpska:"Groundwork for Agricultural Land Protection,Use and Restructuring for RS as the Component LandUse Planning Process“

R 1:100 000



GIS DATA – REPUBLIC OF SRPSKA

RS Border

BiH Border

Brcko District

SOTER representative profiles (236) FAO Project

SOTER ref.profiles (1195) FAO Project

Representative profiles (100) New

Referenc profiles (143) New



SOIL DATA – SOTER BASE and „NEW DATA“

For the territory of RS, for 336 profiles were entered data of the main field observations and laboratory investigations basic data (numerical and descriptive in Serbian language) in GIS layer:

1. Profile code, 2. Year and month of opening profile, 3. Altitude, 4. Assessment of erosion, 5. Drainage;6. Texture code;7. Acidity (pH/H2О, pH 1M KCl), 8. Humus (%), 9. The degree of base saturation (V %), 10. Physiologically active phosphorus and potassium;11. Soil type according to FAO Classification and the National

Classification used on the original Soil Map (1:50000).

For 1338 semi profiles, the same data were entered, except the data on the humus content and the degree of base saturation, because these parameters were not made for semi profiles during the drafting of the Basic Soil Map (there are no such data).



NEW SOIL DATA

In the period from 2008 to 2015, the most important data in the entireterritory of Republic of Srpska were obtained by the soil fertility control.

Soil fertility control was performed by the PI Agricultural Institute of Republic of Srpska in the period from 2014 to 2015 for the Ministry of Republic of Srpska. On that occasion, soil fertility control was performedat 2586 plots

Basic chemical analysis were performed in the samples: reaction (pH in H2O, pH 1M KCl), humus, physiologically active phosphorus and potassium. From humus can be calculated organic C.

The samples are stored so that they can be a source of new data as the need arises.





NEW SOIL DATA



“Inventory of the PostWar Situation of LandResources in BiH” (FAO) 2002

20 Meto Station in BiH

• Minimum required parameters.

Climatic data 1960-1990



DATA SOURCE

1. Meteorogical Annual Reviews SFRJ 1960 - 1985

Climatic data 1960-1990

2. Unpublished data 1986 – 1990 • Federala Meteorogical Institute, Sarajevo• Hydrometeorogical Institute of RS, Banja Luka




Climatic data 1960-90 ESTABLISHED CLIMATIC DATABASE

ATP-4 SOTWARE (Agricultural Planing Toolkit)

Processed data

219 740

ENTERED

87 140



29th June – 01th July, 2016, Andrevlje, Serbia S

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Climatic data 1960-1990 ; GIS layers:

• Average rainfall• Starting of growing period• End of growing period• Duration of growing period• Temp. Sum obov 5oC

• Starting of free-frost period• End of free-frost period• Duration of free-frost period• Temp. Sum obov 10oC

Tep

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Data gaps, problems, and solutions

Main issues are connected with fact that there is still a lot of data that are not digitised. It will be necessary to digitise profile data from soil maps 1:50000 where data from aprox 20 000 profiles should be entered with georeferencing.

Also, there are also data from different recent scientific and operational researches that are not in any database and can be used for ANC modelling.






• Provision of recommendations for improved data management in the context of the Areas with the Natural Constraints

• All countries should include all scientific and technical resources and human resources to strengthen the institutions responsible for data management.

• Institutional setup in regards to the ANC is closely connected with general spatial (land) data management that is underdeveloped in RS, even this is legally defined. Spatial data management based on GIS relevant and reliable facts, still doesent have sufficient understanding in decision making context.

• Analyses of the national capacities for data management and provision of recommendations for improved institutional setup in regards to the ANC




• National policy assessments and policy recommendations relevant to the characterization and mapping of areas with natural constraints

• Regarding the characterization and mapping of areas with natural constraints, it can be concluded that Republika Srpskahas developed institutions in the administrative terms of dealing with this issue.




• Characterization and mapping of areas with naturalconstrains has recognized as need and priority in theRepublic of Srpska and one of its political objectives adoptedby the its Parliament in current Strategic plan of agriculturaland rural development in Republic of Srpska 2016-2020 isindentifying (mapping) and particular support areas withnatural constrains. In regard with that it will be necessary toadopt policy and certain rules which will officially establishcriteria (preferably identical or largely compatible with thoseapplied in the EU) for delimitation of areas with naturalconstrains. It will be followed by the work of collecting andprocessing data and mapping the ANC in order to introducedifferentiated payments and other measures of specificsupport these areas.




• Laws and rulebooks that define establishing data base foragriculture, forest and water data are adopted and underjurisdiction of Ministry of agriculture, forestry and watermanagement, but the system is still not established andoperational.

• WEB GIS data exchange protocols, based on officialrooleboks (data models ect) can be defined as ‘lightmotive’.

Prof. Dr Željko VaškoDoc. Dr Tihomir PredićMSc Boris Marković

First Interim Meeting of the Regional Expert Advisory Working Group on Areas with Natural Constrains

29th June – 01th July, 2016Andrevlje, Serbia

Prof. Dr Željko Vaško Doc. Dr Tihomir Predić MSc Boris...

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