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Functional significance of forest biodiversity in Europe (FunDivEUROPE)
Start date: Oct 1, 2010, End date: Mar 31, 2015 PROJECT  FINISHED 

FunDivEUROPE (FUNctional significance of forest bioDIVersity in EUROPE) proposes to quantify the effects of forest biodiversity on ecosystem function and services in major European forest types in the main bioclimatic regions of Europe. FunDivEUROPE will be based on four scientific platforms and seven cross-cutting Work Packages.The project will combine a global network of tree diversity experiments (Experimental Platform) with a newly designed network of observational plots in six focal regions within Europe (Exploratory Platform). Additionally, the project will integrate an in-depth analysis of inventory-based datasets of existing forest monitoring networks to extend the scope to larger spatial and temporal scales (Inventory Platform). FunDivEUROPE will thus combine the strengths of various scientific approaches to explore and quantify the significance of forest biodiversity for a very large range of ecosystem processes and ecosystem services. Using modeling and state-of-the-art techniques for quantitative synthesis, the project will integrate information gained from the different platforms to assess the performance of pure and mixed species stands under changing climate. In addition to the three research platforms, FunDivEUROPE will set up a Knowledge Transfer Platform in order to foster communication, aggregation and synthesis of individual findings in the Work Packages and communication with stakeholders, policy makers and the wider public. The information gained should thus enable forest owners, forest managers and forest policy makers to adapt policies and management for sustainable use of forest ecosystems in a changing environment, capitalizing on the potential effects of biodiversity for ecosystem functioning. The experiences gained within FunDivEUROPE will finally allow contributing to the development of the European Long-Term Ecosystem Research Network, complementing existing forest observation and monitoring networks.
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