Quantifying plant-mineral-microbe ecosystem services in the Arctic using Positron Emission Tomography.

使用正电子发射断层扫描量化北极的植物-矿物质-微生物生态系统服务。

• 批准号: RGPIN-2019-03938
• 负责人: Siciliano, Steven
• 金额: $ 3.72万
• 依托单位: University of Saskatchewan
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=765632
• 关键词: Quantifying; plant; mineral; microbe; ecosystem

Ecosystem services are the services provided by ecosystems that humans benefit from. They can include food production, climate regulation, water purification, nutrient cycling and decomposition. Currently, the Canadian regulatory regime does not explicitly protect these services from pollution. Here I propose to use a new technology, Positron Emission Tomography (PET), to explain how minerals, plants and microorganisms all contribute towards ecosystem services. PET provides the ability to look into soil and visualize the carbon and nitrogen flows in intact soil ecosystems. We do this by adding positron-emitting isotopes of carbon and nitrogen to soil or plants, and then monitoring how the carbon and nitrogen move through the soil. The University of Saskatchewan has the world's only PET detector specifically built for soil/plant systems called the BioPET and over the last two years I've worked closely with the physics team to develop dosing, imaging and analysis systems that will work with northern soils. I hypothesize that the dispersion of microorganisms will be influenced by the plants and minerals in the soil, and in turn this dispersion will influence how ecosystem services are provided. I propose to use field soils and plants from the High, Mid and Low Arctic to evaluate my hypothesis, and then to follow this up with an artificial soil system combined with a model plant. I selected the Arctic field sites to represent cryoturbated landscapes that are common in the Arctic, i.e. deserts, barrens and low brush tundra. Similarly, the plants I will be assessing are common Arctic plants; avens or Dryas integrifolia, and locoweed, or Oxytropis arctobia, and the model plant, purple prairie clover or Dalea purpurea, is a commercially available nitrogen fixer common in native prairies. The artificial soil system is designed to allow us to look at how different phosphorus minerals influence plant-microbe interactions and how this influences ecosystem services. The combination of field and model systems will allow us to characterize how plants, minerals and microbes in soil contribute to ecosystem services. Over the past five years, I've developed models that can predict microbial abundance across large spatial scales and can link this abundance to climate change. I will use the information from the field and model systems to update this model, and then using soil archives from Saskatchewan Soil Survey and Agriculture Canada, I will evaluate the ability of this model to predict microbial abundances and ecosystem services across Canada and along a 50 year time period. Once complete, this model will be able to predict how the soil's provision of ecosystem services will change across Canada in the 21st century.

生态系统服务是生态系统提供的使人类受益的服务。它们可以包括粮食生产、气候调节、水净化、养分循环和分解。目前，加拿大监管制度并未明确保护这些服务免受污染。在这里，我建议使用一种新技术，即正电子发射断层扫描（PET），来解释矿物质、植物和微生物如何对生态系统服务做出贡献。 PET 提供了研究土壤并可视化完整土壤生态系统中碳和氮流动的能力。我们通过向土壤或植物中添加碳和氮的正电子发射同位素，然后监测碳和氮如何在土壤中移动来做到这一点。萨斯喀彻温大学拥有世界上唯一专门为土壤/植物系统构建的 PET 探测器，称为 BioPET，在过去两年中，我与物理团队密切合作，开发了适用于北方土壤的剂量、成像和分析系统。我假设微生物的分散会受到土壤中植物和矿物质的影响，而这种分散反过来又会影响生态系统服务的提供方式。 我建议使用来自高、中、低北极的田间土壤和植物来评估我的假设，然后用人造土壤系统与模型植物相结合来跟进这一假设。我选择了北极野外地点来代表北极常见的低温扰动景观，即沙漠、贫瘠之地和低矮灌木苔原。同样，我将评估的植物是常见的北极植物； avens 或 Dryas integrifolia、疯草或 Oxytropis arctobia 以及模型植物紫草原三叶草或 Dalea purpurea 是本地大草原上常见的市售固氮剂。人造土壤系统的设计目的是让我们能够了解不同的磷矿物质如何影响植物与微生物的相互作用以及这如何影响生态系统服务。现场和模型系统的结合将使我们能够描述土壤中的植物、矿物质和微生物如何对生态系统服务做出贡献。在过去的五年里，我开发了一些模型，可以预测大空间范围内的微生物丰度，并将这种丰度与气候变化联系起来。我将使用来自现场和模型系统的信息来更新此模型，然后使用萨斯喀彻温省土壤调查和加拿大农业部的土壤档案，我将评估此模型预测整个加拿大和沿 50 个国家/地区的微生物丰度和生态系统服务的能力。年时间段。一旦完成，该模型将能够预测 21 世纪加拿大各地土壤提供的生态系统服务将如何变化。