| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1111/gcbb.12176 |
| Model collaboration for the improved assessment of biomass supply, demand and impacts. | |
| Wicke B; van der Hilst F; Daioglou V; Banse M; Beringer T; Valin H | |
| 发表日期 | 2015 |
| 出处 | GCB Bioenergy 7 (3): 422-437 |
| 出版年 | 2015 |
| 语种 | 英语 |
| 摘要 | 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, 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 algorithm, dynamics and feedbacks can be difficult to achieve. And, if it is done, it frequently implies a tradeoff in terms of resolution (spatial, temporal, 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. |
| 主题 | Ecosystems Services and Management (ESM) |
| 关键词 | Model collaboration Integrated assessment Biomass supply and demand Impacts bottom-up modeling Top-down modeling |
| URL | http://pure.iiasa.ac.at/id/eprint/11474/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130378 |
| 推荐引用方式 GB/T 7714 | Wicke B,van der Hilst F,Daioglou V,et al. Model collaboration for the improved assessment of biomass supply, demand and impacts.. 2015. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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