An empirical model approach for assessing soil organic carbon stock changes following biomass crop establishment in Britain
An empirical model approach for assessing soil organic carbon stock changes following biomass crop establishment in Britain
复制标题
用于评估英国生物质作物种植后土壤有机碳储量变化的实证模型方法
DOI：
10.1016/j.biombioe.2015.09.005
复制
发表时间：
2015
影响因子：
6
通讯作者：
McClean G
中科院分区：
文献类型：
--
作者：
McClean G
土地利用变化（LUC）是影响土壤有机碳储量和全球碳循环的重要因素。在英国，从传统农业作物到生物质作物的土地利用变化有所增加，但对SOC储量的影响了解有限。调查特定地点效应的配对图研究结果记录了SOC储量随时间的增加和减少。这种变化表明SOC对包括环境条件在内的许多因素的敏感性。使用英格兰和威尔士93个生物质作物地点的时间序列（主要是1-14年的年龄），开发了SOC轨迹的经验模型，该模型遵循LUC，从耕地和草地到短轮伐期矮林（SRC）、杨柳和Miscanthus生产。使用30 cm的固定采样深度计算每个站点的SOC库存，并通过与典型的转化前SOC库存进行比较来估计变化。大多数土地利用变化对有机碳储量没有明显的净影响。从草地到SRC杨柳的LUC后14年，估计SOC净损失为45.2 ± 24.1吨/公顷（±95%置信区间）。每个站点的土壤质地和气候数据包括在多变量模型中，以评估不同环境条件对SOC轨迹的影响。在大多数情况下，解释变量的增加改善了模型拟合。这些模型可以提供一些初步的估计，更具体的区域变化的SOC以下LUC。然而，模型拟合没有充分改善，以提供一个基础，采用更有针对性的土地利用变化的战略，木质纤维素生物质作物生产。
Land-use change (LUC) is a major influence on soil organic carbon (SOC) stocks and the global carbon cycle. LUC from conventional agricultural to biomass crops has increased in Britain but there is limited understanding of the effects on SOC stocks. Results from paired plot studies investigating site-specific effects document both increasing and decreasing SOC stocks over time. Such variation demonstrates the sensitivity of SOC to many factors including environmental conditions. Using a chronosequence of 93 biomass crop sites in England and Wales, mainly of 1–14 y age, empirical models were developed of SOC trajectory following LUC from arable and grassland to short rotation coppice (SRC) willow andMiscanthusproduction. SOC stocks were calculated for each site using a fixed sampling depth of 30 cm and changes were estimated by comparing with typical pre-conversion SOC stocks. Most LUCs had no demonstrable net effect on SOC stocks. An estimated net SOC loss of 45.2 ± 24.1 tonnes per hectare (±95% confidence intervals) occurred after 14 y following LUC from grassland to SRC willow. Soil texture and climate data for each site were included in multivariable models to assess the influence of different environmental conditions on SOC trajectory. In most cases the addition of explanatory variables improved the model fit. These models may provide some preliminary estimates of more region-specific changes in SOC following LUC. However, the model fit did not improve sufficiently as to provide a basis for adopting a more targeted LUC strategy for lignocellulosic biomass crop production.
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影响因子：
3.7
作者：
C. Hofmann-Schielle;A. Jug;F. Makeschin;K. Rehfuess
通讯作者：
C. Hofmann-Schielle;A. Jug;F. Makeschin;K. Rehfuess
影响因子：
9
作者：
Sherrington, Chris;Bartley, Justin;Moran, Dominic
通讯作者：
Moran, Dominic
影响因子：
5.6
作者：
Hastings, Astley;Clifton-Brown, John;Smith, Pete
通讯作者：
Smith, Pete
DOI：
--
发表时间：
1980
期刊：
--
影响因子：
--
作者：
B. W. Avery;Wales.
通讯作者：
B. W. Avery;Wales.
影响因子：
5.6
作者：
Hillier, Jonathan;Whittaker, Carly;Smith, Peter
通讯作者：
Smith, Peter