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Elevation and management gradient in a German mountain area to estimate shifts in an forest oekosystem under the aspect of climate change. Coordination (Hoehengradient)
Project
Project code: 28WC412201
Contract period: 01.01.2018
- 31.05.2020
Budget: 308,668 Euro
Purpose of research: Applied research
Keywords: forestry, forest growth, climate (climate relevance, climate protection, climate change), silviculture, mixed forest
In an altitude gradient in the Bavarian Forest from 300 to 1400 m above sea level, the forest structure, various species groups (from plants, fungi and animals) and genetic markers some species are investigated in a gradient of 2.9 to 8.1 ° C. In addition to sample areas in strict forest reserves that have not been managed for more than 40 years, managed forests also included. The aim of this monitoring is to derive the effects of climate change on the diversity of species in the mixed forests of the beech-oak, mixed mountain forests with fir, spruce and beech, as well as high mountain spruce forests. In addition, existing models for storing of carbon in forests can be supplemented or validated. The altitude gradient applied to a broad basis of species groups offers the possibility of intersecting factors of climate change and management, as the tree species composition in forests. Finally, recommendations for forest management with regard to climate change and the consequences for biodiversity in the forests are to be derived and handed over to forestry practitioners. The work is divided into four modules Module 1 Forest structure elevations on 48 test beds in eight natural forest reserves and corresponding test circles managed forests. Both the species composition should be similar to that of the plant, as well as the more mature ones. Module 2 Detection of species from seven species groups (vascular plants, lichens, fungi, birds, snails, caterpillars and wood-beetling beetles) and intersection of the species composition with the ecological parameters of the sample surfaces. Module 3 Mycorhizza fungal species will be detected on the basis of genotypic characterizations and Amplicon sequencing. The data of the species communities are again blended with the parameters of the sample surfaces. Module 4 The main tree species (beech, fir and spruce) along the height gradient will be detected by inner genotyping as well as a common mycorrhiza fungal species Russula ochroleuca.
Section overview
Subjects
- Silviculture
- Forestry
- Agroecology
- Climate Change
Framework programme
Funding programme
Excutive institution
LWF - Department of Biodiversity, Nature Conservation, Hunting
