Model collaboration for the improved assessment of biomass supply, demand, and impacts

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dc.creatorWicke, Birka
dc.creatorvan der Hilst, Floor
dc.creatorDaioglou, Vassilis
dc.creatorBanse, Martin
dc.creatorBeringer, Tim
dc.creatorGerssen-Gondelach, Sarah
dc.creatorHeijnen, Sanne
dc.creatorKarssenberg, Derek
dc.creatorLaborde Debucquet, David
dc.creatorLippe, Melvin
dc.creatorvan Meijl, Hans
dc.creatorNassar, André
dc.creatorPowell, Jeff
dc.creatorGerdien Prins, Anne
dc.creatorRose, Steve N. K.
dc.creatorSmeets, Edward M. W.
dc.creatorStehfest, Elke
dc.creatorTyner, Wallace E.
dc.creatorVerstegen, Judith A.
dc.creatorValin, Hugo
dc.creatorvan Vuuren, Detlef P.
dc.creatorYeh, Sonia
dc.creatorFaaij, André P. C.
dc.date2015-05-02
dc.date2024-08-01T02:50:08Z
dc.date2024-08-01T02:50:08Z
dc.date.accessioned2026-06-27T15:43:28Z
dc.descriptionExisting 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.
dc.identifierhttps://hdl.handle.net/10568/149878
dc.identifier.urihttp://hdl.handle.net/123456789/112830
dc.languageen
dc.publisherWiley
dc.rightsLimited Access
dc.sourceWicke, Birka; van der Hilst, Floor; Daioglou, Vassilis; Banse, Martin; Beringer, Tim; Gerssen-Gondelach, Sarah; Heijnen, Sanne; Karssenberg, Derek; Laborde Debucquet, David; Lippe, Melvin; van Meijl, Hans; Nassar, André; Powell, Jeff; Gerdien Prins, Anne; Rose, Steve N. K.; Smeets, Edward M. W.; Stehfest, Elke; Tyner, Wallace E.; Verstegen, Judith A.; Valin, Hugo; van Vuuren, Detlef P.; Yeh, Sonia; and Faaij, André P. C. Model collaboration for the improved assessment of biomass supply, demand, and impacts. GCB Bioenergy 7(3): 422-437. https://doi.org/10.1111/gcbb.12176
dc.subjectmodels
dc.subjectbiomass
dc.subjectmodeling
dc.subjectdemand
dc.subjectmodelling
dc.subjectbiomass supply
dc.subjectenergy
dc.titleModel collaboration for the improved assessment of biomass supply, demand, and impacts
dc.typeJournal Article

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)