4.7 Article

Selecting land-based mitigation practices to reduce GHG emissions from the rural land use sector: A case study of North East Scotland

期刊

JOURNAL OF ENVIRONMENTAL MANAGEMENT
卷 120, 期 -, 页码 93-104

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2013.02.010

关键词

GHG emissions; Mitigation practices; Full mitigation potential; Implementation barriers; North East Scotland

向作者/读者索取更多资源

The Climate Change (Scotland) Act 2009 commits Scotland to reduce GHG emissions by at least 42% by 2020 and 80% by 2050, from 1990 levels. According to the Climate Change Delivery Plan, the desired emission reduction for the rural land use sector (agriculture and other land uses) is 21% compared to 1990, or 10% compared to 2006 levels. In 2006, in North East Scotland, gross greenhouse gas (GHG) emissions from rural land uses were about 1599 ktCO(2)e. Thus, to achieve a 10% reduction in 2020 relative to 2006, emissions would have to decrease to about 1440 ktCO(2)e. This study developed a methodology to help selecting land-based practices to mitigate GHG emissions at the regional level. The main criterion used was the full mitigation potential of each practice. A mix of methods was used to undertake this study, namely a literature review and quantitative estimates. The mitigation practice that offered greatest full mitigation potential (approximate to 66% reduction by 2020 relative to 2006) was woodland planting with Sitka spruce. Several barriers, such as economic, social, political and institutional, affect the uptake of mitigation practices in the region. Consequently the achieved mitigation potential of a practice may be lower than its full mitigation potential. Surveys and focus groups, with relevant stakeholders, need to be undertaken to assess the real area where mitigation practices can be implemented and the best way to overcome the barriers for their implementation. (C) 2013 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据