Carbon cycle in agriculture
The primary goal is to develop an operational monitoring, reporting and verification (MRV) framework to quantify carbon and greenhouse gas budgets for different types of ecosystems. Recently, we have been focusing especially on agricultural fields.
In addition to accumulating scientific knowledge of ecosystem functions, this work contributes to the information needs of 1) national and regional greenhouse gas inventories, 2) carbon footprints, and 3) life cycle analyses (LCA), carbon credits, offsetting, and insetting.
We are developing and using three modeling approaches: 1) Sentinel-2 satellite data coupled with FMI in-house model Yasso, 2) a large collection of process-based ecosystem models, and 3) artificial intelligence (AI), machine learning (ML), and emulators. The model development and applications are supported by a dedicated computing environment.
Our approach consists of two main lines of development:
Development and testing of ecosystem models to simulate the carbon sequestration and other greenhouse gas exchange on mineral soils and peatlands, including agricultural fields, forests and bogs, and
Integration of data streams, improved models, and model outputs into the information and calculation system to estimate field-specific greenhouse gas budgets now and in future climates with current and improved management.
In the Field Observatory you can find information and examples of carbon sequestration measurements and modelling on different experimental sites with varying measurement intensity.
Our research contributes to the Carbon Action platform, which connects the different stakeholders: farmers, researchers, businesses, and decision makers.
