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Details

Autor(en) / Beteiligte
Titel
Projections of regional changes in forest net primary productivity for different tree species in Europe driven by climate change and carbon dioxide
Ist Teil von
  • Annals of forest science (Print), 2014-03, Vol.71 (2), p.211-225
Ort / Verlag
Paris: Springer-Verlag
Erscheinungsjahr
2014
Link zum Volltext
Quelle
SpringerLink
Beschreibungen/Notizen
  • • CONTEXT : Projecting changes in forest productivity in Europe is crucial for adapting forest management to changing environmental conditions. • AIMS : The objective of this paper is to project forest productivity changes under different climate change scenarios at a large number of sites in Europe with a stand-scale process-based model. • METHODS : We applied the process-based forest growth model 4C at 132 typical forest sites of important European tree species in ten environmental zones using climate change scenarios from three different climate models and two different assumptions about CO₂ effects on productivity. • RESULTS : This paper shows that future forest productivity will be affected by climate change and that these effects depend strongly on the climate scenario used and the persistence of CO₂ effects. We find that productivity increases in Northern Europe, increases or decreases in Central Europe, and decreases in Southern Europe. This geographical pattern is mirrored by the responses of the individual tree species. The productivity of Scots pine and Norway spruce, mostly located in central and northern Europe, increases while the productivity of Common beech and oak in southern regions decreases. It is important to note that we consider the physiological response to climate change excluding disturbances or management. • CONCLUSIONS : Different climate change scenarios and assumptions about the persistence of CO₂ effects lead to uncertain projections of future forest productivity. These uncertainties need to be integrated into forest management planning and adaptation of forest management to climate change using adaptive management frameworks.

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