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PDFWP7_Dissemination activities_Lindner
 
PDFWP2_Comparison AR 4_AR5
 
MS PowerPointBolte_Spathelf_AFM 2013
 
PDFD2.2 Climate and Land Use Data
This document provides both an overview of available climate and land use change data over Europe, and it summarizes the methods used for scaling climate data from regional climate model (RCM) output to fins spatial resolution (1km and 100m).
 
PDFAgenda_Final Meeting 09 April 2013
 
PDFAgenda_Final Meeting 10 April 2013
 
PDFD5.2 A review report on decision making under uncertainty and risk in forestry
MOTIVE is to provide a better understanding and modelling approach to handle the complex decision problems that climate change implies for forest owners and managers. Modelling approaches that capture the likely benefit of adaptive management strategies are required, both because of the uncertainty augmented by climate change but also because of the certainty that as time passes and climate changes new and better information becomes available. The current review (i) provides a review of state-of-the-art methods for optimal decision making under risk and uncertainty in forestry, (ii) develops further these methods for the use in AFM (cf. e.g. Jacobsen et al. 2010). The motivation of the review is the above observation that decision making under uncertainty is a large and productive cross-disciplinary research field. Finally, we conclude the deliverable with a discussion of this literature, which approaches and developments may hold most promise for the different challenges in the MOTIVE project and which parts of the research agenda will need more work by MOTIVE partners and others to secure significant advancements in the understanding of the potential for adaptive forest management and decision support tools to cope with the aspects of climate change.
 
PDFList of Participants_Freiburg April 2013
 
PDFData model concept
This report describes the development of the data model concept for the MOTIVE DataBase. During MOTIVE the data base will provide the functionality of storing results from the case studies, after MOTIVE the data base will be core component of the Adaptive Forest Management ToolBox. The data model was developed based on questionnaires to case study providers and modelling groups.
 
PDFHanewinkel_Introduction Final meeting
 
PDFBolte_AFM in Cetral Europe
 
PDFLindner_impact and uncertainties
 
PDFReyer_cascade of uncertainty
 
PDFTemperli_disturbances and AFM
 
PDFBlennow_Believing and seeing
 
PDFMaroschek_Montafon case
 
PDFKostov_Case Bulgaria
 
PDFSchelhaas_European Scale
 
PDFJohnston_Adaptation in North America
 
PDFKellomäki_Boreal case
 
PDFYousefpour_Evalauting and Selecting Good Adaptive Strategies
 
PDFLexer_AFM ToolBox
 
MS WordOverview presentations
 
PDFHanewinkel_General Messages
 
PDFBieling_Management Issues
 

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