GrassCARB: a tool to identify grassland sites for enhanced soil organic carbon sequestration

GrassCARB：一种确定草原地点以增强土壤有机碳固存的工具

• 批准号: NE/R007098/1
• 负责人: Rachel Efrat
• 金额: $ 1.34万
• 依托单位: Lancaster University
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FR007098%2F1
• 关键词: GrassCARB; tool; identify; grassland; sites

Farmers and their advisers collect and send soil samples for analysis to determine their soil organic matter (SOM) concentration when grassland sites across England are considered for Agri-Environment schemes. To date Natural England have a database of 10 000 soil analyses. The question they often ask is: how much soil organic matter should we expect to find in the soil in a particular field? Currently there is no effective way to answer this question. The aim of this project is to provide advisers from Natural England with a simple tool (GrassCARB) that will provide an estimate of the likely concentration of organic matter in the soil, and an estimate of the associated uncertainty. The GrassCARB model will be developed using a combination of factors which, based on published studies, are known to influence SOM concentrations in grasslands. For example, fields in low-lying, wetter areas typically have more soil organic matter than those in dry parts of the landscape. Also, soils with a larger proportion of clay-sized material tend to have larger concentrations than soils dominated by sandy (sand-sized) material. We can use this and other information from national scale datasets, and that provided with each soil analysis, to improve the predictions of SOM concentration. It is also the case that fields close together typically have more similar properties than those further apart, and so we will use the locations of measurements in the soil database in GrassCARB to improve our local predictions of SOM concentrations.Once the model has been built I will make it accessible to all the farm advisers from Natural England through a simple web-interface which they can access. Each time the model is used, SOM data from new sites can be added to it. I will test the model with a set of farm advisers and provide a set of instructions on its use. GrassCARB could then be used to identify those sites with lower than expected SOM concentrations - these are places where changes in land management could lead to storage of SOM over a few years and therefore contribute to soil carbon sequestration. This is the main objective of the 4 per mille initiative which was supported as part of the Paris climate agreement. I will investigate how GrassCARB relates to other soil initiatives in the UK and internationally.

农民和他们的顾问收集和发送土壤样本进行分析，以确定他们的土壤有机质（SOM）浓度时，英格兰各地的草地网站被认为是农业环境计划。到目前为止，自然英格兰有一个10000土壤分析的数据库。他们经常问的问题是：我们应该期望在特定领域的土壤中找到多少土壤有机质？目前还没有有效的方法来回答这个问题。该项目的目的是为自然英格兰的顾问提供一个简单的工具（GrassCARB），该工具将提供土壤中有机物可能浓度的估计，以及相关不确定性的估计。GrassCARB模型将开发使用的因素组合，根据已发表的研究，已知会影响草地中的SOM浓度。例如，低洼、潮湿地区的农田通常比干旱地区的农田含有更多的土壤有机质。此外，粘土级物质比例较大的土壤往往比桑迪（砂级）物质占主导地位的土壤具有更高的浓度。我们可以使用这个和其他信息，从国家规模的数据集，并提供与每个土壤分析，以提高SOM浓度的预测。同样的情况是，靠近的田地通常比相距较远的田地具有更多相似的属性，因此我们将使用GrassCARB土壤数据库中的测量位置来改进我们对SOM浓度的本地预测。一旦模型建立起来，我将通过一个简单的网络界面让所有来自Natural England的农场顾问都可以访问它。每次使用该模型时，都可以将新站点的SOM数据添加到其中。我将使用一组农场顾问测试该模型，并提供一组使用说明。然后，GrassCARB可以用来识别那些土壤有机质浓度低于预期的地点-这些地方的土地管理的变化可能会导致土壤有机质储存在几年内，因此有助于土壤固碳。这是千分之四倡议的主要目标，该倡议作为巴黎气候协定的一部分得到支持。我将研究GrassCARB如何与英国和国际上的其他土壤倡议联系起来。