This research was published in the INSPIRED: A Publication of the New Hampshire Agricultural Experiment Station (Spring 2024)
Researchers: A. K. Robison, L. E. Koenig, J. D. Potter, L. E. Snyder, C. W. Hunt, W. H. McDowell & W. M. Wollheim
Rivers and streams play a pivotal role in the global carbon cycle, acting as significant sources of carbon dioxide (CO2) emitters to the atmosphere. Recent technological advancements have enabled high-frequency monitoring of dissolved CO2 in aquatic environments, particularly marine and freshwater bodies like lakes and ponds. However, due to their dynamic flow conditions in response to storms, moving freshwater ecosystems, such as rivers and streams, have proved difficult for measuring CO2 accurately. This research assesses whether accurate high-frequency measurements can be achieved by adapting an affordable and existing CO2 sensor to moving freshwater systems.

Fig. 1. Map of 10 monitoring locations in streams and rivers in New Hampshire and Massachusetts.
Methodology
This study adapted the SIPCO2 high-frequency sensor for use in fast-moving and variable waters by adding features to enhance its durability and accuracy. Modifications included adding a mechanism allowing the sensor to rise and fall with flow conditions, a protective housing to withstand dynamic flow conditions, and the use of materials that would resist microorganism damage. This approach allowed for more frequent and reliable CO2 measurements, especially during extreme weather events that disrupt normal water flow patterns.
For this study, the adapted SIPCO2 sensor was tested across 10 streams, covering a broad spectrum of land cover and basin sizes (Fig. 1.). The modified design included mechanisms to prevent biofouling, adapt to fluctuating water levels, and shorten the time needed for gas equilibration—the process used to calculate CO2 levels (Fig. 2). By assessing the impact of various factors on the uncertainty of CO2 emission estimates, the study highlights the importance of gas exchange velocity and sensor accuracy, especially when CO2 levels are near the point at which the water has absorbed as much CO2 as it can hold at a given temperature and pressure.
Results and Impacts
The adapted sensors demonstrated high reliability in measuring CO2 levels across various streams and identifying significant differences in emission magnitudes. The capability to monitor CO2 fluctuations continuously provides valuable insights into how land use changes, such as deforestation or urban development, can impact carbon emissions. For example, this information can aid scientists in identifying how land use changes and land management practices correlate with increases or decreases in CO2 emissions while also supporting the accuracy of climate modeling and informing policy decisions. Furthermore, the research sheds light on the underlying mechanisms driving these changes, such as alterations in stream metabolism and runoff dynamics.
Key Findings
- Water bodies significantly contribute to storing and releasing carbon dioxide (CO2), impacting climate action planning.
- Optimized CO2 sensors (Lotic SIPCO2) for use in flowing water ecosystems can accurately measure emissions, aiding in developing carbon budgets needed for effective climate change mitigation policies.
- Sensor modifications enable real-time monitoring of CO2 emissions from streams over daily cycles, during extreme weather events, and across seasons.
About the Co-author

Wilfred Wollheim, Professor of Natural Resources and the Environment
Contact information: Wilfred.Wollheim@UNH.edu, 603-862-5022, FindScholars profile

Fig. 2. Left: The Lotic-SIPCO2 sensor design, adapted from Hunt et al. (2017). Center: An example deployment of lotic-SIPCO2 sensor with novel float design. Right: Image of the submerged portion of a lotic-SIPCO2 sensor with copper tape coating to minimize biofouling.
Implications and Strategic Recommendations
The Lotic-SIPCO2 system represents significant progress toward a cost-effective and reliable method for tracking CO2 concentrations and emissions across various stream and river environments, which has previously been achieved for lakes, ponds, and marine ecosystems.
Key insights include:
- Statewide Applications: Optimized CO2 sensors can be used across New Hampshire’s waterways to gather comprehensive data on carbon emissions and help inform state climate action plans.
- Global Carbon Budgets: Higher-frequency sensors can produce data that help emphasize the integration of moving freshwater ecosystems into global carbon budget models, recognizing their role as critical carbon sources.
- Future Monitoring Design: Balancing high-frequency data collection and the practicality of less frequent measurements will be key for meeting land-use and water management policy and goals.
This material is based on work supported by the NH Agricultural Experiment Station through joint funding from the USDA National Institute of Food and Agriculture (under Hatch award numbers 0225006 and 1019522) and the state of New Hampshire. Funding was also provided by the UNH Natural Resources and Earth Systems Science program, by the NSF Established Program to Stimulate Competitive Research (EPSCoR 1101245) and through the following grants: PIE-LTER OCE-1637630, EF-1926423, EF-1926591, NSF SRS 2215300 and GRFP-623 0913620.