Field measurements provide more than data points. They make it possible to observe soil processes under real agricultural conditions. Weather, soil characteristics, crop development, and management practices all interact in ways that are difficult to reproduce elsewhere.

In June 2026, a closed-chamber gas flux campaign was carried out on a trial field in Finland as part of the MultiSoil project, which studies how cultivation practices affect soil health and greenhouse gas emissions. The trial provides a practical example of how field data, site-specific conditions, and measurement details come together in agricultural emissions research.

Understanding the factors driving emissions

Agricultural soils are constantly changing. Conditions can vary between fields, between plots, and even within the same location over time.

Measuring greenhouse gas fluxes directly in the field helps capture this variability and connect measured emissions to real-world conditions.

This becomes especially valuable when the aim is to evaluate management practices and understand what is driving the measured fluxes.

A strong dataset is built through planning

Trials like this show how the full measurement context shapes the quality of agricultural emissions data. In the MultiSoil trials, comparable measurement points, consistent chamber placement, and environmental parameters such as soil moisture and temperature all influenced how the resulting CO₂, CH₄, and N₂O data could be interpreted.

Before the permanent monitoring points were selected, the spatial variability within the experimental plots was characterized using 18 preliminary FTIR measurements. GT5000 Terra was used as a high-precision reference instrument to support the selection of representative and comparable measurement points for subsequent long-term monitoring.

The field’s soil zones were mapped using a Veristech soil scanner. The resulting maps helped the researchers select suitable sampling areas within the plots without variation that could cause unnecessary dispersion in the measurements.

The scanning technique can also identify areas susceptible to denitrification. In the map, the light-blue zone indicates a mild denitrification risk.

Soil organic matter and nutrient status are also monitored on site with an NIR instrument. Light-chamber measurements began in spring.

The final long-term monitoring setup includes three measurement points on each of the two experimental plots. Together, the soil-zone maps and preliminary FTIR measurements provided two complementary sources of information for selecting the permanent monitoring locations.

The measurement setup also reflected the study objectives, plot structure, cultivation activities, and environmental variables observed alongside gas fluxes. This preparation helped connect individual measurements to the research questions behind the field trials.

Small details can influence the outcome

In practical field measurements, small details can shape how results are interpreted. Environmental conditions, cultivation activities, chamber placement, timing, soil conditions, and activity around the measurement area all add context to the measured fluxes.

In open field conditions, changes in airflow, soil disturbance around the chamber, or unexpected activity near the measurement area can introduce variability that affects how the data is interpreted.

These considerations are part of what makes field-based datasets valuable: they help connect measured fluxes to the conditions in which the measurements were taken.

Insights from the MultiSoil field trials

During the MultiSoil field trials at the Hemmanet experimental farm in Närpiö, soil greenhouse gas fluxes were studied under practical cultivation conditions. Measurements were taken from different plots before and after cultivation activities, such as harrowing, to observe how the soil released or consumed gases as part of normal field activity.

The measurement setup combined Datasense Fluxscout chambers with the GT5000 Terra portable FTIR gas analyzer. The chambers collected gases from the soil surface, while the analyzer measured carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N₂O) concentrations in the field. This made it possible to follow gas exchange between the soil and the atmosphere without moving samples to a laboratory. See the full case from Närpiö here: Measuring soil greenhouse gas fluxes with GT5000 Terra and Datasense Fluxscout

Field observations strengthen the dataset

The gas data was supported by observations from the site, including soil moisture, soil temperature, electrical conductivity, plot conditions, and cultivation activities. These observations helped explain what may have influenced the measured fluxes.

This practical field information helped connect the gas readings to what was happening in each plot. For example, comparing measurements before and after harrowing can show how field activity relates to changes in measured emissions.

The preliminary FTIR measurements revealed significant spatial variability between potential measurement locations. This showed that characterizing the measurement locations with a high-precision FTIR analyzer was essential before selecting the points for long-term monitoring. Without this initial characterization, it would have been difficult to select sufficiently representative and comparable measurement points for the follow-up study.

What the MultiSoil example shows

The MultiSoil field trials show how agricultural greenhouse gas research benefits from combining measurement technology with field knowledge.

Accurate gas data is essential, but the value of the dataset also depends on site-specific decisions such as chamber placement, measurement timing, and the observations recorded during the campaign.

This is especially important in agricultural research, where the field is not a controlled environment. Soil structure, water content, crop development, and recent cultivation can all influence the same measurement point. In field trials, these factors become part of the system being studied rather than background noise.

The preliminary work illustrates why potential measurement locations should be characterized before they are treated as comparable. It also shows how site characterization can inform the selection of points for long-term monitoring.

 

From measurements to reliable environmental insights

The value of the data grows when it helps explain the processes behind the numbers. In agricultural research, this means looking at greenhouse gas fluxes together with soil properties, field observations, and knowledge of the system being studied. This connection helps turn individual measurements into evidence for research and practice.

The MultiSoil field trials show how practical research can contribute to this wider picture. By studying soil emissions under real cultivation conditions, the trials help strengthen the evidence base for agricultural and environmental research.

Some of the photos provided by Finnish agriculturalist Jussi Knaapi

Care to read more of obtaining reliable agricultural data? Read our article: What makes agricultural emissions data reliable? to discover how greenhouse gas flux measurements, combined with field conditions and management data, can support both scientific research and more sustainable agriculture. 

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GT5000 Terra – portable FTIR gas analyzer GT5000 Terra provides you with real-time, high-quality measurements that mitigate the limitations of low-frequency sampling. This means you can monitor soil flux changes within minutes. Take a look at the GT5000 Terra