Understanding soil quality and resilience: effects of perturbations and natural variations on nitrous oxide emission water retention and structure
Understanding soil quality and resilience: effects of perturbations and natural variations on nitrous oxide emission water retention and structure
批准号:
BB/E001793/1
负责人:
Graham Matthews
金额:
$30.7万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2006
资助国家:
英国
项目状态:
已结题
起止时间:
2006 至 --
中文摘要
这个项目涉及农业土壤质量。根系需要水、溶解的养分和氧气,而优质土壤可以输送所有这些。良好的土壤对可持续农业很重要,特别是对草或作物的生产,而不损害土壤或周围环境。拖拉机车轮或耕作造成的压实会破坏土壤的结构。此外,如果含硝酸盐的土壤浸水,它会散发出一氧化二氮(笑气)。一氧化二氮是一种导致全球变暖的强效温室气体,也加剧了对平流层臭氧层的破坏。如果土壤有弹性,那么即使它被压实或淹水,它也能恢复。该项目的目的是更多地了解土壤的结构和过程,以便我们能够提高土壤质量和恢复力,并尽量减少一氧化二氮的排放。我们打算在英国不同的研究中心使用四种新的或新近改进的实验方法。这些是x射线计算机断层扫描(类似于医院使用的cat扫描),一种测量土壤在仅靠重力排干时的持水能力的设备,一种能够监测12个实验室样品排放的氧化亚氮的设备,以及一种“渗滤仪”,它可以精确测量硝酸盐在模拟降雨下在土壤中的分布和释放方式。土壤是一种非常复杂的材料,到目前为止,研究大多是将它们的性质联系起来,而不是完全理解它们。除此之外,我们还借助了一个名为“Pore-Cor”的计算机模型来模拟土壤的多孔结构。我们打算通过在大结构中引入紧密排列的小孔隙阵列,使模型更加先进,就像在真实土壤中发生的那样。计算机程序不仅将所有不同的属性关联起来,还将结果显示在虚拟现实环境中,这样我们就可以爬进土壤里,看看发生了什么。该模型将使我们了解较小孔隙相对于较大孔隙的几何排列,氧化亚氮产生和排放的孔隙环境,硝酸盐如何在土壤中分布以喂养氧化亚氮诱导细菌,以及压实和饱和如何影响发生的过程。该模型还将推动实验向前发展,因为它需要准确的数据,并且能够预测其他条件下和不同土壤系统下的一氧化二氮排放。一氧化二氮的排放受到其他无法测量或模拟的因素的影响,例如温度和风速。它还因土壤管理而异/特别是肥料添加量、耕作方式和放牧或种植制度而异。然而,所有这些影响的基础是基本的结构和过程,更好地理解和预测这些将有助于为土地管理政策提供信息,以实现最佳的土壤质量和恢复力,以及最小的一氧化二氮排放。
英文摘要
This project concerns the quality of agricultural soil. Roots need water, dissolved nutrients and oxygen, and good quality soil can transport all of these. Good soil is important for sustainable agriculture / specifically the production of grass or crops without damage to the soil or surrounding environment. The structure of soil can be damaged by compaction caused by tractor wheels or tillage. Also, if nitrate-containing soil becomes waterlogged, it exudes nitrous oxide (laughing gas). Nitrous oxide is a potent greenhouse gas causing global warming, and also adds to the destruction of the stratospheric ozone layer. If a soil is resilient, then even if it does become compacted or water-logged, it can recover. The aim of this project is to learn more about the structure and processes within soil, so that we can promote soil quality and resilience, and minimise emission of nitrous oxide. We intend to use four new, or newly improved, experimental methods, based at different research centres across the UK. These are X-ray computed tomography (similar to the CAT-scans used in hospitals), a device for measuring the water-holding ability of soil when it is being drained by gravity only, an apparatus capable of monitoring the nitrous oxide emitted from twelve laboratory samples, and a 'lysimeter' which measures the precise way nitrate is distributed and leashes through the soil under simulated rainfall. Soil is a very complicated material, and up until now studies have mostly correlated their properties without completely understanding them. To move beyond that, we enlist the help of a computer model called 'Pore-Cor' which simulates the porous structure of soil. We intend to make the model even more advanced by introducing arrays of closely packed smaller pores within the larger structure, as occur in real soil. Not only does the computer program correlate all the different properties, it also displays its results in a Virtual Reality environment / so we can climb inside the soil and see what is going on. The model will allow us to understand the geometric arrangements of the smaller pores relative to the larger, the pore environments in which the nitrous oxide is generated and vented, how nitrate distributes through the soil to feed the nitrous oxide-inducing bacteria, and how compaction and saturation affect the processes occurring. The model will also drive the experimentation forward because of its need for accurate data, and enable predictions to be made for nitrous oxide emission under other conditions and in varying soil systems. The emission of nitrous oxide is affected by other factors which will not be measured or modelled, for example temperature and wind speed. It also varies according to soil management / in particular the amount of fertiliser added, tillage, and the grazing or cropping regime. However, underlying all these effects are the fundamental structures and processes, and better understanding and prediction of these will help inform policy on land management to achieve optimum soil quality and resilience, and minimum nitrous oxide emission.
期刊论文(10)
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A dual-porous, inverse model of water retention to study biological and hydrological interactions in soil
用于研究土壤中生物和水文相互作用的双孔保水逆模型
DOI:
10.1111/ejss.12055
发表时间:
2013
期刊:
European Journal of Soil Science
影响因子:
4.2
作者:
[Laudone G]
通讯作者:
Laudone G
DOI:
10.1029/2009wr007720
发表时间:
2010-05
期刊:
Water Resources Research
影响因子:
5.4
作者:
[G. Matthews;G. Laudone;A. Gregory;N. Bird;A. G. Matthews;W. R. Whalley]
通讯作者:
G. Matthews;G. Laudone;A. Gregory;N. Bird;A. G. Matthews;W. R. Whalley
DOI:
10.2136/sssaj2009.0356
发表时间:
2010-07
期刊:
Soil Science Society of America Journal
影响因子:
2.9
作者:
[A. Gregory;N. Bird;W. R. Whalley;G. Matthews]
通讯作者:
A. Gregory;N. Bird;W. R. Whalley;G. Matthews
DOI:
10.2136/sssaj2009.0278
发表时间:
2010-07-01
期刊:
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
影响因子:
2.9
作者:
[Gregory, Andrew S., Bird, Nigel R. A., Young, Iain M.]
通讯作者:
Young, Iain M.
A model to predict the effects of soil structure on denitrification and N2O emission
预测土壤结构对反硝化和 N2O 排放影响的模型
DOI:
10.1016/j.jhydrol.2011.08.026
发表时间:
2011
期刊:
Journal of Hydrology
影响因子:
6.4
作者:
[Laudone G]
通讯作者:
Laudone G
共 8 条
Elucidating the importance of the pools of nitrate in soils on denitrification
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批准号:BB/K001566/1
-
项目类别:Research Grant
-
资助金额:$1.22万
-
财政年份:2013
-
负责人:Graham Matthews
-
依托单位:
A cross-disciplinary soil-proteomics and modelling approach for predicting switches between hydrophilic and hydrophobic soil surface responses
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批准号:NE/K004212/1
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项目类别:Research Grant
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资助金额:$26.39万
-
财政年份:2013
-
负责人:Graham Matthews
-
依托单位:
国内基金
海外基金
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批准号:41977088
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项目类别:面上项目
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负责人:刘亚龙
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依托单位:
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依托单位:
长白山垂直带土壤动物多样性及其在凋落物分解和元素释放中的贡献
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资助金额:85.0万元
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批准年份:2011
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依托单位:
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负责人:蒋新
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