Aarhus University Seal / Aarhus Universitets segl

No. 210: Birds 2015

Holm, T.E., Clausen, P., Nielsen, R.D., Bregnballe, T., Petersen, I.K., Mikkelsen, P., Bladt, J., Kotzerka, J. & Søgaard, B. 2016. Fugle 2015. NOVANA. Aarhus Universitet, DCE – Nationalt Center for Miljø og Energi, 142 s. - Videnskabelig rapport fra DCE - Nationalt Center for Miljø og Energi nr. 210.  http://dce2.au.dk/pub/SR210.pdf 


Denmark has initiated systematic monitoring of habitats and species included in the Habitats Directive and the Wild Birds Directive through the launch of the National programme for Monitoring of Aquatic Environment and Nature (NOVANA). 

A network of special protected areas has been designated according to the EU directives. The network ”Natura 2000”, contains species, including birds, and habitats, which need protection within the European Union. A main purpose for these areas is to contribute to secure the biological diversity both on a national and EU scale. This will happen through maintenance or restoring of ’favorable conservation status’ for the habitats and species, which the areas have been designated to protect. 

The monitoring programme for birds within NOVANA has as primary target to monitor population size and distribution of the relevant species. This will in time provide the scientific background to assess conservation status for each species and strengthen the basis for deciding on any measures that might be able to improve conservation status for one or more species. 

The monitoring programme for birds was preliminarily planned for the period 2004-2009. The targets of the programme were breeding birds on the Directive’s Annex 1 and regularly occurring migratory birds following article 4.2 of the Birds Directive and included in the designation document of one or more Bird Protection Areas. In 2010 the programme was revised for the period 2011 to 2015. 

This report presents the results from 2015 from the NOVANA monitoring programme of birds. The species accounts give a status of the species based on the collated data set.