The aim of this thesis is to evaluate whether connectivity indices are usable for bird prediction.
The study area contains of the whole country but is divided into separate squares with area of
133 km 2 each, where the presence or absence of the bird species is known. The dependence is
tested on landscape connectivity indices presented by prof. S. Saura. The land cover contains
of Corine land cover 2012 data. The results will be evaluated with logistic regression approach
on sample data including 4 different dispersal distances (500 m, 1 000 m, 2 000 m and 3 000
m) and 10 specific bird species typical for given land cover. The corelation between land cover
area presence of the bird is also tested.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:260718 |
| Date | January 2016 |
| Creators | Kučera, Michal |
| Contributors | Šímová, Petra, Krčílková, Šárka |
| Publisher | Česká zemědělská univerzita v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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