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

First Interim Meeting of the Regional Expert Advisory Working Group on Areas with Natural Constrains Prof. Dr Željko Vaško Doc. Dr Tihomir Predić MSc Boris Marković 29 th June 01 th July, 2016 Andrevlje, Serbia

REPUBLIC OF SRPSKA ENTITY A 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 km2 Inhab. 1.39 mil

Republika Srpska Spatial data overview Basic topography and administrative units Municipality level

Cadastaral municipalities Draft country reports, Bosnia and Herzegovina

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 Land principally occupied by agriculture, with significant areas of 243 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).

Soil Land form Climatic data Land mines risk Land cover / Land use Land suitability Lithology Draft country reports, Bosnia and Herzegovina Inventory of post war situation of land resources in Bosnia and Herzegovina 2000-2007 T Funded by the Government of Italy R 1:200 000

Conceptual Diagram For GIS and Land/Crop Suitability Model Landsat Image Soil Map Land Use/Land Cover Administrative Units Land Mines Crop/LUT Requirements Database Soil Profile Attributes Soils Soter Slope Land and Crop Suitability Model Digital Elevation Model (DEM) Land Elevation Aspect Soil Suitability Terrain Suitability Climatic Suitability Climatic Station Records Climate Stations Data Source/ Database GIS Layers GIS Procedure Procedure Thermal Growing Period Zones MoistureGrowing Period Zones Crop/Land Suitability and Yield Database Land Use/Land Cover Suitability Overall Suitability Land Use Planning Applications

SOIL DATA 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 Draft country reports, Bosnia and Herzegovina Federal Institute for Agropedology Sarajevo performed digitization of the Basic Soil Map. Only data on the type of soil according to FAO and the National Classification were entered in polygons.

SOIL DATA SOTER BASE Draft country reports, Bosnia and Herzegovina

GIS DATA REPUBLIC OF SRPSKA In 2009, the PI Agricultural Institute of RS prepared a strategic document for the Ministry of Agriculture, Forestry and Water Management of Republic of Srpska: "Groundwork for Agricultural Land Protection,Use and Restructuring for RS as the Component Land Use Planning Process R 1:100 000

SOIL DATA SOTER BASE and NEW DATA 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

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/h 2 О, 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 entire territory 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 performed at 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 Draft country reports, Bosnia and Herzegovina

Climatic data 1960-1990 20 Meto Station in BiH Minimum required parameters. Inventory of the Post War Situation of Land Resources in BiH (FAO) 2002

Climatic data 1960-1990 DATA SOURCE 1. Meteorogical Annual Reviews SFRJ 1960-1985 2. Unpublished data 1986 1990 Federala Meteorogical Institute, Sarajevo Hydrometeorogical Institute of RS, Banja Luka Inventory of the Post War Situation of Land Resources in BiH (FAO) 2002

Climatic data 1960-90 ESTABLISHED CLIMATIC DATABASE ATP-4 SOTWARE (Agricultural Planing Toolkit) Processed data 219 740 ENTERED 87 140 Inventory of the Post War Situation of Land Resources in BiH (FAO) 2002

Starting of Groving Period Duration of Groving Period Tepemperature Sum above 5 o C Draft country reports, Bosnia and Herzegovina Climatic data 1960-1990 ; GIS layers: Average rainfall Starting of growing period End of growing period Duration of growing period Temp. Sum obov 5 o C Starting of free-frost period End of free-frost period Duration of free-frost period Temp. Sum obov 10 o C

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.

Data gaps, problems, and solutions 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. Analyses of the national capacities for data management and provision of recommendations for improved institutional setup in regards to the ANC 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.

Data gaps, problems, and solutions 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 Srpska has developed institutions in the administrative terms of dealing with this issue.

Data gaps, problems, and solutions Characterization and mapping of areas with natural constrains has recognized as need and priority in the Republic of Srpska and one of its political objectives adopted by the its Parliament in current Strategic plan of agricultural and rural development in Republic of Srpska 2016-2020 is indentifying (mapping) and particular support areas with natural constrains. In regard with that it will be necessary to adopt policy and certain rules which will officially establish criteria (preferably identical or largely compatible with those applied in the EU) for delimitation of areas with natural constrains. It will be followed by the work of collecting and processing data and mapping the ANC in order to introduce differentiated payments and other measures of specific support these areas.

Data gaps, problems, and solutions Laws and rulebooks that define establishing data base for agriculture, forest and water data are adopted and under jurisdiction of Ministry of agriculture, forestry and water management, but the system is still not established and operational. WEB GIS data exchange protocols, based on official rooleboks (data models ect) can be defined as light motive.