#IMC: September 14 - 18 2025

Mapping of Landscape Changes in Hohe Tauern National Park using the CC-HABITALP Method

Assigned Session: FS 3.149: Mountain regions as key biodiversity observatories – challenges and solutions in times of global changes

Abstract ID: 3.10207 | Accepted as Poster | Poster | TBA | TBA

Angelika Riegler (0)
Lumasegger, Mario (1), Anfang, Christian (1), Holzer-Salcher, Clemens (1)
Angelika Riegler (2)
Lumasegger, Mario (1), Anfang, Christian (1), Holzer-Salcher, Clemens (1)

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(1) Revital Integrative Naturraumplanung, Nußdorf 71, 9990 Nußdorf-Debant, Austria
(2) Sekretariat des Nationalparkrates Hohe Tauern, Kirchplatz 2, 9971 Matrei i. O., Austria

(1) Revital Integrative Naturraumplanung, Nußdorf 71, 9990 Nußdorf-Debant, Austria
(2) Sekretariat des Nationalparkrates Hohe Tauern, Kirchplatz 2, 9971 Matrei i. O., Austria

Categories: Biodiversity, Conservation, Ecosystems, Monitoring, Remote Sensing
Keywords: Climate Change, Alpine Habitats, Landscape Change, Long-term Monitoring

Categories: Biodiversity, Conservation, Ecosystems, Monitoring, Remote Sensing
Keywords: Climate Change, Alpine Habitats, Landscape Change, Long-term Monitoring

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National parks aim to preserve landscapes, allow natural processes, and accept disturbances. However, landscape changes in alpine habitats remain understudied despite their scientific and societal relevance. This project addresses this gap through “landscape change mapping” in Hohe Tauern National Park. Using the CC-HABITALP method (Hauenstein & Haller 2013), infrared aerial images from 1998 and 2022 were analyzed across three long-term monitoring sites: Seebachtal, Sulzbachtäler Wilderness, and Innergschlöß in Austria. The study identifies key natural and anthropogenic processes shaping these landscapes, such as glacier retreat, vegetation succession, and mass movements, providing a crucial basis for long-term ecological research. The CC-HABITALP method, based on the interpretation key HIK-CD 2.1, is an approved and reliable approach for identifying and documenting change processes. The stereoscopic 3D technique allows for mapping landscapes with incredible accuracy, even at very large scale. Attribute-based data can be captured in a standardized and detailed manner, providing comprehensive insights down to the finest detail.

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