Assessment of bioenergy crop productivity and carbon emissions mitigation potential on marginal lands in China based on the machine learning model and meta-analysis
文献类型：期刊论文
| 作者 | Yu, Ziyue3; Han, Hang3; Zhang, Fan1,2 |
| 刊名 | JOURNAL OF CLEANER PRODUCTION
 |
| 出版日期 | 2026-04-22 |
| 卷号 | 557页码:148227 |
| 关键词 | Bioenergy crops Carbon emissions mitigation Machine learning Shared socioeconomic pathways (SSPs) China |
| ISSN号 | 0959-6526 |
| DOI | 10.1016/j.jclepro.2026.148227 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | As China advances toward its enhanced climate goals of reducing greenhouse gas emissions by 7-10% below peak levels by 2035 and achieving carbon neutrality by 2060, bioenergy crops are gaining prominence as a scalable negative emission technology. This study develops an integrated assessment framework combining multi-source environmental data, machine learning, and lifecycle analysis to quantify the spatiotemporal potential of major bioenergy crops across China. Results reveal notable spatial heterogeneity in crop suitability and productivity. Sorghum demonstrates strong biomass accumulation and carbon mitigation potential in northern and central provinces such as Shaanxi, Anhui, and Guangxi, with mitigation levels reaching 4.26-4.12 t CO2/ha. Jatropha shows promise in southern regions such as Jiangsu and Gansu, achieving mitigation of 3.92-3.69 t CO2/ ha, while Miscanthus exhibits broad adaptability with stable yields and mitigation benefits of 3.78-3.71 t CO2/ha in provinces such as Yunnan and Liaoning. Under the sustainable SSP1-2.6 scenario, bioenergy mitigation potential rises steadily to 228.9 Mt CO2e by 2070, whereas the high-emission SSP5-8.5 pathway leads to significant climate-driven yield stagnation, limiting mitigation to 181.6 Mt. These findings underscore the synergy between climate-resilient crop deployment and emission reductions and provide a scientific basis for integrating spatially optimized bioenergy systems into China's updated climate strategy. |
| URL标识 | 查看原文 |
| WOS关键词 | JATROPHA-CURCAS-L. ; ENERGY ; MISCANTHUS |
| WOS研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001745500300001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221548]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Zhang, Fan |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; 3.Nanjing Forestry Univ, Coll Econ & Management, Nanjing 210037, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yu, Ziyue,Han, Hang,Zhang, Fan. Assessment of bioenergy crop productivity and carbon emissions mitigation potential on marginal lands in China based on the machine learning model and meta-analysis[J]. JOURNAL OF CLEANER PRODUCTION,2026,557:148227. |
| APA | Yu, Ziyue,Han, Hang,&Zhang, Fan.(2026).Assessment of bioenergy crop productivity and carbon emissions mitigation potential on marginal lands in China based on the machine learning model and meta-analysis.JOURNAL OF CLEANER PRODUCTION,557,148227. |
| MLA | Yu, Ziyue,et al."Assessment of bioenergy crop productivity and carbon emissions mitigation potential on marginal lands in China based on the machine learning model and meta-analysis".JOURNAL OF CLEANER PRODUCTION 557(2026):148227. |
入库方式： OAI收割
来源：地理科学与资源研究所
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