The specific designation of supra-regional migration corridors for larger, preferably forest-bound wildlife is intended to ensure, improve and, if necessary, restore the functionality of a statewide biotope and habitat network. For further information see: http://www.ooe-umweltanwaltschaft.at/xbcr/SID-B49D7CBE-852A8EF6/wildtierkorridore_ooe_2012.pdf

Expert designation of habitat corridors at local, regional and supraregional level. Client for the Pinzgau: Salzburg Provincial Government Department of Spatial Planning and Department of Nature Conservation, Salzburg Hunting Association, Pinzgau Regional Planning. Client for the Lungau, Pongau, Tennengau and Flachgau: Department of Spatial Planning and Department of Nature Conservation, Salzburg Hunting Association. Regional and supra-regional green corridors were included in the regional programs of the Pinzgau and decreed.

Modeling the course of the Alpen Kaparten corridor. Consists of the four Bottlenecks and additional core zones of wildlife in-betweeen them. Attributes: -101 - primarily core zone, buffered from centerline 250m to each side -102 - primarily border zone, buffered from core zone 150m -201 - secondary core zone, buffered from centerline 250m to each side -202 - secondary border zone, buffered from core zone 150m -112 - primarily, core - and borderzone are together, buffered 400m from the centerline on each side -0 - core zones of wildlife, big forested areas, only rough delineation

LRVA-2022: Current version of the integral dataset on habitat connectivity in Austria. This dataset takes into account all datasets and designations of habitat corridors from scientific projects and public sector projects (federal provinces). The dataset has been evaluated by the experts of the Cooridnation Platform "Habitat Connectivity Austria" and is updated as soon as new information and designations from projects are available. Further details are available in the endreport: https://docs.umweltbundesamt.at/s/AzZrHid6q9wkDDM

LRVA-2022: Evaluation of ecological corridor axes with regard to the permeability of sections of the ecological corridor. On the one hand, the landscape structure is assessed with regard to its permeability (LC structure index) and on the other hand, the landscape elements equipment of the ecological corridor segment (LE equipment index) is considered. The combination of these two indicators results in the combined ecological corridore index, which gives a good overview of ecological corridor areas with low permeability.

Note on location accuracy: Data sets do not have area-specific delineations and are not suitable to be intersected with the cadastre. Designation of habitat axes in Carinthia. GIS-based modeling with subsequent validation and final designation of migration axes by the "Büro für Wildökologie und Forstwirtschaft"

Project NATREG - Styria: Securing open spaces for people and nature. Detailed information on the project can be found at: https://www.agrar.steiermark.at/cms/beitrag/11944510/100812449/

In Switzerland, there are 304 wildlife corridors of supra-regional importance (as of 2020). They connect fragmented ecosystems or suitable habitats and are vital for wildlife. This is because roads and railways form insurmountable barriers for many wild animals. Both large wild animals such as deer and stags, medium-sized ones such as foxes and hares, and small ones such as amphibians or bats need to be able to move for food and reproduction. An assessment of wildlife corridors came to the following conclusion: 47 corridors (16%) are largely disrupted and can no longer be used by wildlife; over half (171 corridors, 56%) are significantly to severely impaired; less than a third (86 corridors, 28 %) can be classified as intact. Geodata information: In a first step, the known wildlife corridors were recorded canton by canton from existing data and potential corridors were identified using GIS and divided into wildlife corridors of supraregional, regional and local interest. Subsequently, the main features of the supraregional and regional network system were visualised for the whole of Switzerland. The corridors were then classified as wildlife corridors of supraregional or regional interest according to the importance of the axis on which they lie. The data for the connecting axes and wildlife corridors were recorded and processed in GIS by the Swiss Ornithological Institute Sempach. The supraregional corridors and the connecting axes were updated by the FOEN in 2012 on the basis of information provided by the cantonal hunting administrations.