GI_Forum 2021, Volume 9, Issue 2
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2021, Volume 9, Issue 2 ISSN 2308-1708 Online Edition ISBN 978-3-7001-9183-4 Online Edition
Alois Simon
S. 65 - 81 doi:10.1553/giscience2021_02_s65 Verlag der Österreichischen Akademie der Wissenschaften doi:10.1553/giscience2021_02_s65
Abstract: Mountain forests provide a wide variety of ecosystem services to society. In light of the trend of temperature increase and related climatic extremes in the Greater Alpine Area, mountain forests are likely to undergo dramatic changes in the coming centuries. Therefore, forest managers face the challenge of adapting forests to support resilience to climate change. To facilitate this process, the forest gap model ForClim, a process-based forest succession model, was applied to generate site-specific information on future forest stand development and species composition. The tree species composition without management activities was predicted up to 2100 assuming a stable climate, and for both moderate and severe climate-change scenarios. Furthermore, three different forest stand development scenarios were implemented. The forest stand investigated in our research shows significant climate-sensitivity. Results demonstrate that deciduous mixed forest stands are necessary to increase resilience and manage forests for climate change. Using active silvicultural measures, such as assisted migration through planting thermophilus species, negative effects of climate change could be reduced. The modelling approach presented here is appropriate for assessing the impacts of climate change and supporting decision making by local forest managers. Keywords: dynamic vegetation model, mountain forest, long-term development, tree species composition, Austria Published Online: 2021/12/28 12:00:07 Object Identifier: 0xc1aa5576 0x003d25e6 Rights:https://creativecommons.org/licenses/by-nd/4.0/
GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |