NDLI: A GIS-based method for the reconstruction of the late eighteenth century forest vegetation in the Prignitz region (NE Germany)

Content Provider	Springer Nature Link
Author	Wulf, Monika Rujner, Hendrik
Copyright Year	2010
Abstract	Our goal was to reconstruct the late eighteenth century forest vegetation of the Prignitz region (NE Germany) at a scale of 1:50,000. We also wanted to relate the historical forest vegetation to the actual and potential natural vegetation. For these purposes, we selected 15 woody species and transferred relevant data found in historical records from various sources together with the recent localities of (very) old individuals belonging to these woody species into ArcView GIS. Following multi-step data processing including the generation of a point density layer using a moving window with kernel estimation and derivation of vegetation units applying Boolean algebra rules together with information on site conditions, we derived 17 forest communities corresponding to the potential natural vegetation. We were able to reconstruct the historical forest vegetation for 90% of the forest area ca. 1780. Only two of the 17 forest communities covered large parts of the forested area. The oak forest with Agrostis capillaris covered about 44% of the total forest area, and alder forests on fenland made up about 37%. Oak-hornbeam forests with Stellaria holostea comprised slightly less than 6% of the forest area, while all other forest communities comprised less than 1%. The historical forest vegetation is more similar to the potential forest vegetation and quite different from the actual forest vegetation because coniferous tree species currently cover approximately two-thirds of the actual forest area. The most beneficial result of this study is the map of high-resolution historical vegetation units that may serve as the basis for various further studies, e.g., modelling long-term changes in biodiversity at the landscape scale.
Starting Page	153
Ending Page	168
Page Count	16
File Format	PDF
ISSN	09212973
Journal	Landscape Ecology
Volume Number	26
Issue Number	2
e-ISSN	15729761
Language	English
Publisher	Springer Netherlands
Publisher Date	2010-11-10
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Boolean algebra Historical ecology Kernel estimation Moving window Point density Potential natural vegetation Schmettau map Toponymy Vegetation map Plant Sciences Ecology Forestry Plant Ecology Landscape Ecology Forestry Management
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Ecology Nature and Landscape Conservation

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