Land use change to bioenergy: A meta-analysis of soil carbon and GHG emissions
Land use change to bioenergy: A meta-analysis of soil carbon and GHG emissions
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DOI：
10.1016/j.biombioe.2015.05.008
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发表时间：
2015-11-01
影响因子：
6
通讯作者：
Taylor, G.
中科院分区：
文献类型：
--
作者：
Harris, Z. M.;Spake, R.;Taylor, G.
采用系统回顾和荟萃分析来评估当前的知识状况，并量化第二代（2G）非粮食生物能源作物的土地利用变化（LUC）对与温带农业相关的土壤有机碳（SOC）和温室气体（GHG）排放的影响。根据 138 项原始研究的分析，从耕种到短轮伐期矮林（SRC、杨树或柳树）或多年生草本（主要是芒草或柳枝稷）的转变导致 SOC 增加（分别为 +5.0 +/- 7.8% 和 +25.7 +/- 6.7%）。从草地到 SRC 的转变基本上是中性的 (+3.7 +/- 14.6%)，而草原到多年生草和森林到 SRC 的转变均显示 SOC 下降 (分别为 -10.9 +/- 4.3% 和 -11.4 +/- 23.4%)。没有足够的配对数据来对温室气体排放进行严格的荟萃分析，但 188 项原始研究的温室气体总体趋势汇总数据显示，从森林和耕地向多年生草本植物转变后，土壤二氧化碳排放量增加或减少。我们证明，围绕生物能源土地利用变化对温室气体平衡（特别是甲烷）的影响，存在重大知识差距。量化从草原到短轮伐林业的转变也存在很大的不确定性。这篇综述的一个惊人发现是缺乏可用于验证建模数据的实证研究。鉴于模型广泛用于生物能源生命周期评价和可持续性标准的制定，这是一个需要更多长期数据集的领域。 (C) 2015 年作者。由 Elsevier Ltd 出版。这是一篇 CC BY 许可下的开放获取文章
A systematic review and meta-analysis were used to assess the current state of knowledge and quantify the effects of land use change (LUC) to second generation (2G), non-food bioenergy crops on soil organic carbon (SOC) and greenhouse gas (GHG) emissions of relevance to temperate zone agriculture. Following analysis from 138 original studies, transitions from arable to short rotation coppice (SRC, poplar or willow) or perennial grasses (mostly Miscanthus or switchgrass) resulted in increased SOC (+5.0 +/- 7.8% and +25.7 +/- 6.7% respectively). Transitions from grassland to SRC were broadly neutral (+3.7 +/- 14.6%), whilst grassland to perennial grass transitions and forest to SRC both showed a decrease in SOC (-10.9 +/- 4.3% and -11.4 +/- 23.4% respectively). There were insufficient paired data to conduct a strict meta-analysis for GHG emissions but summary figures of general trends in GHGs from 188 original studies revealed increased and decreased soil CO2 emissions following transition from forests and arable to perennial grasses. We demonstrate that significant knowledge gaps exist surrounding the effects of land use change to bioenergy on greenhouse gas balance, particularly for CH4. There is also large uncertainty in quantifying transitions from grasslands and transitions to short rotation forestry. A striking finding of this review is the lack of empirical studies that are available to validate modelled data. Given that models are extensively use in the development of bioenergy LCA and sustainability criteria, this is an area where further longterm data sets are required. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license