NDLI: Detecting human impact in the pollen record using data-model comparison

Content Provider	Springer Nature Link
Author	Bradshaw, Richard H. W.
Copyright Year	2007
Abstract	Palaeoecological data are compared with output from climate-driven forest simulation models to separate human influence as a driver of vegetation dynamics from other drivers such as climatic change. The transition from Tilia cordata to Fagus sylvatica dominance in a small forest hollow in Denmark was not predicted by a climate-driven forest simulation model and could be ascribed to anthropogenic impact. This transition can be upscaled to a large region of north-west Europe and contributes to a data-model mismatch for the European distribution of Fagus 6,000 years ago. A data-model mismatch for Picea abies during the last few centuries in southern Scandinavia can also be attributed to anthropogenic impact. Combining pollen data and vegetation models can help with the important task of upscaling from the scale of the forest stand, where anthropogenic impact is readily detectable, to regions and continents, where it is more challenging to distinguish anthropogenic impact from the impacts of climatic change.
Starting Page	597
Ending Page	603
Page Count	7
File Format	PDF
ISSN	09396314
Journal	Vegetation History and Archaeobotany
Volume Number	17
Issue Number	5
e-ISSN	16176278
Language	English
Publisher	Springer-Verlag
Publisher Date	2007-05-26
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Data-model comparisons Fagus sylvatica Picea abies Stand-scale palynology Southern Scandinavia Archaeology Anthropology Climate Change Biogeosciences Paleontology
Content Type	Text
Resource Type	Article
Subject	Plant Science Archeology (arts and humanities) Paleontology

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