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This project is funded by the European Union
Support to Ukraine in approximation
of the EU environmental acquis
APENA
Bird Species Habitats mapping
Why to map?
Preparation of management plans for sites
Necessary information is data on occurrence of habitats and
animal/plant species
In order to get data in common frame we have to delineate
homogenous landcover areas. It means to use clear physiognomic
borders between different habitats (e.g. forest – shrub, forest –
grasslands, terrestrial – water habitats). We can use also human
made borders as roads, fences, settlements, etc.
This project is funded by the European Union
Support to Ukraine in approximation
of the EU environmental acquis
APENA
Example of deli eatio of ho oge ous landcover areas
This project is funded by the European Union
Support to Ukraine in approximation
of the EU environmental acquis
APENA
Homogenous landcover areas
of Opir-Dubyna region
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This project is funded by the European Union
Support to Ukraine in approximation
of the EU environmental acquis
APENA
These land cover areas are
obligatory for habitat and all
species inventories
4
This project is funded by the European Union
Support to Ukraine in approximation
of the EU environmental acquis
APENA
Rationale for this methodological approach
• Easy delineation from accessible satellite/aerial photos
• Simplification of data processing from different sources
(inventories, social and economical data)
• Easily recognized by non-biologist, who implement
management measures
This project is funded by the European Union
Support to Ukraine in approximation
of the EU environmental acquis
APENA
Step 1: Preparation of preliminary species list
for inventory area (split into polygons)
Inventory area
Dubyna – 850 ha
This project is funded by the European Union
Support to Ukraine in approximation
of the EU environmental acquis
APENA
Step 2: Field inventory for identification of
nesting/feeding habitats and occurrence of
specimen in each polygon
1. Recording nesting and/or feeding habitats for each
species - knowledge on characteristics of these
habitats is precondition
2. Recording of occurrence of specimen
This project is funded by the European Union
Support to Ukraine in approximation
of the EU environmental acquis
APENA
Step 2: Field form example
Polygon IDs from
field map
Polygon IDs from field
map and quantity of
individuals in brackets
This project is funded by the European Union
Support to Ukraine in approximation
of the EU environmental acquis
APENA
Step 3: Determine affinity of species to landcover classes
Definition of potential localities for nesting and
feeding habitats
Filling gaps in field data
Identification of biodiversity hot spots
This project is funded by the European Union
Support to Ukraine in approximation
of the EU environmental acquis
Step 3: Example of affinity table
0 no affinity
1 species can occure there
2 feeding and/or nesting place
APENA
This project is funded by the European Union
Support to Ukraine in approximation
of the EU environmental acquis
Step 4: Data processing
Creation of 3 species/polygons tables
1. nesting/feeding habitats data
2. occurrence data
3. affinities to land cover classes
APENA
This project is funded by the European Union
Support to Ukraine in approximation
of the EU environmental acquis
APENA
Step 5: Data evaluation
Combination of data from 3 species/polygons
tables
1. nesting/feeding habitats data
2. occurrence data
3. affinities to land cover classes
Outputs:
Maps of important areas of particular species
Synthetic maps of valuable areas according species
importance (Annex I of BD or Red Book of Ukraine)
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