Carbon sequestration by forestation across China: Past, present, and future
文献类型:SCI/SSCI论文
作者 | Huang L.; Huang L. |
发表日期 | 2012 |
关键词 | Carbon sequestration Plantation forests Trends China soil organic-carbon land-use change pine plantations climate-change inventory data afforestation biomass management storage accumulation |
英文摘要 | Plantation forests are the most effective and ecologically friendly way of absorbing CO2 and increasing carbon sinks in terrestrial ecosystems; mitigating global warming and beginning ecological restoration. China's forestation rate is the highest in the world, and contributes significantly to the nation's carbon sequestration. We have applied empirical growth curves, scale transformations, field sampling plots, and forest inventory data, to our carbon estimation model, to analyze the carbon sequestration in living biomass and soil organic carbon pools in past and current plantations. Furthermore, the potential carbon sinks of future plantations, 2010-2050, have been simulated. From 1950 to the present, plantations in China sequestered 1.686 Pg C by net uptake into biomass and emissions of soil organic carbon. The carbon stock of China's present plantations was 7.894 Pg C, including 21.4% of the total sequestration as forest biomass and 78.6% as SOC. We project that China's forestation activities will continue to net sequester carbon to a level of 3.169 PgC by 2050, and that carbon stock in plantations will amount to 10.395 Pg C. Spatial patterns of carbon sequestration were dissimilar to those of planting area. On the basis of area, carbon sequestrations were highest in North China, while changes were generally greatest in the Northeast and Southwest regions. (C) 2011 Elsevier Ltd. All rights reserved. |
出处 | Renewable & Sustainable Energy Reviews |
卷 | 16 |
期 | 2 |
页 | 1291-1299 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 1364-0321 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/26901] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Huang L.,Huang L.. Carbon sequestration by forestation across China: Past, present, and future. 2012. |
入库方式: OAI收割
来源:地理科学与资源研究所
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