Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

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    Managing LUC‐induced GHG emissions and price impacts from bioenergy under different scenarios
    Levin-Koopman, Jason ; Meijl, J.C.M. van; Smeets, E.M.W. ; Tabeau, A.A. ; Faaij, A. ; Stehfest, Elke ; Vuuren, Detlef P. van; Daioglou, Vassilis ; Gerssen-Gondelach, S. ; Wicke, Birka - \ 2017
    EU
    Model collaboration for the improved assessment of biomass supply, demand, and impacts
    Wicke, B. ; Hilst, F. van der; Daioglou, V. ; Banse, M. ; Beringer, T. ; Gerssen-Gondelach, S. ; Heijnen, S. ; Karssenberg, D. ; Laborde, D. ; Lippe, M. ; Meijl, H. van; Nassar, A. ; Powell, J.P. ; Prins, A.G. ; Rose, S.N.K. ; Smeets, E.M.W. ; Stehfest, E. ; Tyner, W.E. ; Verstegen, J.A. ; Valin, H. ; Vuuren, D.P. van; Yeh, S. ; Faaij, A.P.C. - \ 2015
    Global change biology Bioenergy 7 (2015)3. - ISSN 1757-1693 - p. 422 - 437.
    land-use change - global agricultural markets - greenhouse-gas emissions - eu biofuel policies - bioenergy production - united-states - energy crops - trade-offs - bio-energy - ethanol
    Existing assessments of biomass supply and demand and their impacts face various types of limitations and uncertainties, partly due to the type of tools and methods applied (e.g., partial representation of sectors, lack of geographical details, and aggregated representation of technologies involved). Improved collaboration between existing modeling approaches may provide new, more comprehensive insights, especially into issues that involve multiple economic sectors, different temporal and spatial scales, or various impact categories. Model collaboration consists of aligning and harmonizing input data and scenarios, model comparison and/or model linkage. Improved collaboration between existing modeling approaches can help assess (i) the causes of differences and similarities in model output, which is important for interpreting the results for policy-making and (ii) the linkages, feedbacks, and trade-offs between different systems and impacts (e.g., economic and natural), which is key to a more comprehensive understanding of the impacts of biomass supply and demand. But, full consistency or integration in assumptions, structure, solution algorithms, dynamics and feedbacks can be difficult to achieve. And, if it is done, it frequently implies a trade-off in terms of resolution (spatial, temporal, and structural) and/or computation. Three key research areas are selected to illustrate how model collaboration can provide additional ways for tackling some of the shortcomings and uncertainties in the assessment of biomass supply and demand and their impacts. These research areas are livestock production, agricultural residues, and greenhouse gas emissions from land-use change. Describing how model collaboration might look like in these examples, we show how improved model collaboration can strengthen our ability to project biomass supply, demand, and impacts. This in turn can aid in improving the information for policy-makers and in taking better-informed decisions.
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