| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1038/srep20186 |
| Global spatially explicit CO2 emission metrics for forest bioenergy. | |
| Cherubini F; Huijbregts M; Kindermann G; Van Zelm R; Van Der Velde M; Stadler K; Strømman A H | |
| 发表日期 | 2016 |
| 出处 | Scientific Reports 6: no.20186 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | Emission metrics aggregate climate impacts of greenhouse gases to common units such as CO2-equivalent (CO2-eq.). Examples include the global warming potential (GWP), the global temperature change potential (GTP) and the absolute sustaied emission temperature (aSET). Despite the importance of biomass as a primary energy supplier in existing and future scenarios, emission metrics for CO2 from forest bioenergy are only available on a case-specific basis. Here, we produce global spatially explicit emission metrics for CO2 emissions from forest bioenergy and illustrate their applications to global emissions in 2015 and until 2100 under the RCP85 scenario. We obtain global average values of 0.49 +/-0.03.kgCO2-eq. kgCO2^-1 (mean+/-standard deviation) for GWP, 0.05+/-0.05kgCO2-eq. kgCO2^1 for GTP, and 2.14-10^-14+/-0.11-10^-14 degree C (kg yr^-1)^-1 for aSET. We explore metric dependencies on temperature, precipitation, biomass turnover times and extraction rates of forest residues. We find relatively high emission metrics with low precipitation, long rotation times and low residue extraction rates. Our results provide a basis for assessing CO2 emissions from forest bioenergy under different indicators and across various spatial and temporal scales. |
| 主题 | Ecosystems Services and Management (ESM) |
| URL | http://pure.iiasa.ac.at/id/eprint/12008/ |
| 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/130570 |
| 推荐引用方式 GB/T 7714 | Cherubini F,Huijbregts M,Kindermann G,et al. Global spatially explicit CO2 emission metrics for forest bioenergy.. 2016. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| global%20spatially%2（2141KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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