Version:
Fluorometer for Long-term Monitoring of Photosynthesis





The MONITORING-PAM is a multi-site fluorometer designed for continuous, unattended chlorophyll fluorescence monitoring in the field or underwater. Compact emitter-detector heads measure modulated chlorophyll fluorescence and perform saturation pulse analysis autonomously - for weeks or months without manual intervention.
Each measuring head records photosynthetically active radiation (PAR) at sample level, enabling automatic calculation of relative electron transport rates. Up to seven sites per system can be monitored simultaneously, making the MONITORING-PAM ideal for studying spatial and temporal variation in photosynthetic activity across multiple locations.
Two types of emitter-detector heads are available. The Terrestrial version (MONI-HEAD/485) features a leaf clip with ambient light-reflecting Teflon for measurements on leaves, needles, lichen, and moss. The Aquatic version (MONI-HEAD/S) uses a titanium sample clip for underwater chlorophyll fluorescence measurements on corals, macroalgae, and submerged surfaces.
The multi-site chlorophyll fluorometer MONITORING-PAM operates several emitter-detector heads in parallel. A clip attached to each head positions the sample at defined distance and angle. Each emitter-detector head is equipped with a blue power LED. Based on exact timing of function, this LED provides modulated fluorescence excitation light, actinic light and saturation flashes. A lens focuses the LED radiation on the sample, and collects fluorescence. Maximum saturation pulse intensity at sample level exceeds 8,500 μmol m-2 s-1.
The MONITORING-PAM is tested under extreme temperatures and designed for deployment in remote locations. Data can be retrieved via WiFi or satellite modem, minimizing the need for site visits. This makes the system suitable for long-term deployments in forests, alpine environments, Arctic and tropical field stations, and underwater habitats.



Coral reefs are under increasing threat from anthropogenic pressure, including rising sea temperatures, ocean acidification, and pollution. Monitoring coral health and understanding how environmental conditions impact them is essential for informed scientific research, conservation, and policymaking. The fragile state of most reef ecosystems underscores the urgency of generating accurate, real-time, and actionable monitoring data.
The Gulf of Aqaba (GoA) stands out as a marine refuge, with its reef-building corals demonstrating remarkable resilience to rising ocean temperatures.
The world's first real-time, open data Coral Monitoring Network (CMN) was established to collect diverse data streams curated in an open-access online database. This database empowers researchers from across the region and around the world to collaborate and advance our understanding of how environmental conditions affect coral function and well-being. The Coral Monitoring Network currently rope in 3 stations in the Gulf of Aqaba: Coral Monitoring Station (CMS) I in Eilat at 6 m depth, CMS II at the same depth in Aqaba Jordan and CMS III in Eilat at 42 m depth.
The CMS is based on a MONITORING-PAM which measures continuously coral physiological performance (chlorophyll fluorescence) of 8 coral colonies and valuable real-time data of several environmental parameters (e.g., air and water temperature, wind speed and direction, light intensity at surface and underwater). Streaming video provides additional information on fish activity, coral pigmentation and light environment. The high-temporal-resolution of data provided by the CMN offer a comprehensive understanding, empowering scientists, managers, and the wider community to take informed action.


Click on the link below to see live video and PAM fluorescence data of a Coral Monitoring Station in the Gulf of Aqaba. The research site is part of a network for science-based conservation and management in the Red Sea region. Access to the monitoring station is kindly provided by Dr. Moaz Fine, Professor of Marine Ecology, Hebrew University in Jerusalem and Interuniversity Institute for Marine Sciences in Eilat (IUI). Archived data is available for researchers, managers, students, and teachers (PAM Dashboard).

The sub water MONITORING-PAM in STAND-ALONE configuration was employed to continuously monitor photosynthesis in a monocotyledonous plant growing in Southern Bavarian lakes (Osterseen).
The work is part of the PhD work of M.Sc. Nicolas Eckert carried out at the limnological research base of the Technical University of Munich, Iffeldorf (head Prof. A. Melzer).







The FACE (Free Air Carbon Dioxide Enrichment) site of the Hochschule Geisenheim and a similar site of the Justus Liebig-Universität Giessen form the experimental backbone of the LOEWE research cluster “FACE2FACE”. With substantial support from the state of Hessen, researchers strive to understand how elevated CO2 of the earth’s future atmosphere affects life.
Being the outstanding center of German grapevine breeding and research for almost 150 years, the Hochschule Geisenheim naturally includes grapevine plants in their FACE research program. Currently, a white and a red grape variety are investigated: Riesling and Cabernet Sauvignon, respectively.




Led by Dr. Manfred Stoll, the Geisenheim research group records long-term effects on photosynthesis with two MONITORING-PAM systems, each capable of surveying simultaneously four samples. The MONITORING-PAMs determine data of Y(II) which indicate the efficiency of photosystem II to convert absorbed light into chemical energy. Figure 1 shows averages of 14 diurnal measurements of Y(II) carried out in June 2014.
These daytime measurements were accompanied by experiments at night in which the response of Y(II) to increasing light intensities (PAR) from the MONI measuring heads was recorded. From Y(II) and PAR, photosynthetic electron transport rates were calculated and plotted against the respective PAR values (Fig. 2).
Based on these “light response curves”, acclimation state and maximum capacity of photosynthesis can well be assessed. The Geisenheim grapevine researchers crosscheck MONITORING-PAM data by CO2 gas exchange measurements using a GFS-3000 device. Apart from photosynthesis, the project is expected to yield general insights into plant growth, berry development, and wine quality under future climate conditions.



Continuous monitoring of fluorescence from a leaf of Ilex aquifolium, and of air temperature by the STANDALONE configuration of the TERRESTRIAL version of the MONITORING-PAM. The measurements reveal that Fm’ and F fluorescence levels dropped sharply during onset of a frost period on 07.01.2009. Fluorescence levels recovered close to initial values only at beginning of April when day temperatures reached 20°C and night temperatures did not drop below 5°C.
Likely, the sustained fluorescence quenching during low temperatures reflects markedly increased dissipation of absorbed light energy. This energy dissipation can prevent damage by light under very low temperature conditions when light energy can not be used by biochemistry.






Source: Google Scholar.
Keywords: (Walz OR Waltz) Effeltrich.
Date: June 22, 2026.
Source: Google Scholar.
Keywords: (Walz OR Waltz) Effeltrich.
Date: June 22, 2026.
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Seasonal timing of fluorescence and photosynthetic yields at needle and canopy scales in evergreen needleleaf forests.
Ecology 105: e4402
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Short-term impact of decomposing crown-of-thorn starfish blooms on reef-building corals and benthic algae: a laboratory study.
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Overexpression of LHCSR and PsbS enhance light tolerance in Chlamydomonas reinhardtii.
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Growth response to nitrate enrichment helps facilitate success of an alien Potamogeton in New Zealand streams.
Heliyon 9: e15528
PS II photochemical efficiency and chlororespiration of Acropora millepora zooxanthella in carbonated seawater.
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Temporal heterogeneity in photosystem II photochemistry in Artemisia ordosica under a fluctuating desert environment.
Frontiers in Plant Science 13: 1057943
Morphological and physiological responses of Pinus massoniana seedlings of different light gradients.
Forests 12: 523
Application of ethylene for ripening of 1-MCP treated pear after cold storage.
Acta Alimentaria 51: 176-184
Heatwave breaks down the linearity between sun-induced fluorescence and gross primary production.
New Phytologist 233: 2415-2428
Morphological and physiological screening to predict lettuce biomass production in controlled environment agriculture.
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Plant Physiology and Biochemistry 90: 14-22
Onset of photosynthesis in spring speeds up monoterpene synthesis and leads to emission bursts.
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Effect of temperature and increased concentration of CO2 on growth and photosynthetic activity of polar alga Trebouxia sp.
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Aluminum box with custom foam packing for MONITORING-PAM
60 cm x 40 cm x 25 cm (L x W x H)
42 liter
4.7 kg
WinControl-3 System Control and Data Acquisition Program (Microsoft Windows 10 and 11) for operation of measuring system via PC, data acquisition and analysis. Not compatible with Windows 10 on ARM
Measured: Ft, F0, FM, F, F0’ (also calculated), FM’. Depending on the leaf clip connected, the software can record PAR, temperature and also humidity. [In the case of the MINI-PAM-II clip humidity can be measured, which the clip of the JUNIOR-PAM cannot.]
Calculated: F0’ (also measured), FV/FM and Y(II) (maximum and effective photochemical yield of PS II, respectively), qL, qP, qN, NPQ, Y(NPQ), Y(NO) and ETR (electron transport rate)
Two routines for determination of the cardinal points α, Ik and ETRmax of light curves
Automatic determination of signal offset for all light intensities and gain levels. Automatic calibration of internal PAR sensor against an external PAR sensor connected to the instrument
Processor: 0.8 GHz, RAM: 512 MB, screen resolution: 1024 x 600 pixels, interface: USB 2.0/3.0
USB
Two monocrystalline silicon panels. Waterproof and dustproof in accordance with IP 67. Each equipped with 0.9 m cables for the plus and minus poles. Including 2 x 0.4 m adapter for connecting the 2 panels in parallel, a 5 m extension cord, and a 0.4 m adapter for connecting to the AUX or INPUT port of the Data Acquisition System MONI-DA
Vmax, 45.0 V, Imax, 1.14 A, Power 20 W
41.5 x 28.5 x 0.3 cm (L x W x H)
0.6 kg
WinControl-3 System Control and Data Acquisition Program (Microsoft Windows 10/11) for operation of measuring system via PC, data acquisition and analysis. Not compatible with Windows 10 on ARM
Specification depend on available electronic components at the time of order
As described for MONI-HEAD/485
As described for MONI-HEAD/485
As described for PC Interface Box MONI-IB4/LAN but four special waterproof 6-pole sockets replace the M12 5-pole sockets. Special underwater cable for communication and power included. Standard length: 10 m
As described for Data Acquisition MONI-DA but waterproof 6-pole sockets replace M12 5-pole sockets and microSD card non-removable. Waterproof down to a depth of 75 m
5 mW in standby mode. Operating mode, depends on the number of MONI-PAM measuring heads connected (see MONI-HEAD/485 power consumption)
As described for PC Interface Box MONI-IB1 but a waterproof 6-pole socket replaces the M12 5-pole socket for RS-485 communication
In addition to MONITORING-PAM systems, the software WinControl-3 also operates the DIVING-PAM-II, JUNIOR-PAM, MICRO-PAM, MINI-PAM-II, MONITORING-PAM, and WATER-PAM-II fluorometers, the PAM-CONTROL operated instruments MICROSCOPY-PAM and MICROFIBER-PAM, and the Universal Light Meter ULM-500.
WinControl-3 handles simultaneously multiple PAM fluorometers and is optimized for long-term data acquisition. Batch files permit automatic execution of experimental protocols by the ONLINE and the STAND-ALONE configuration.


Data Evaluation
Saturating pulse analysis with automatic detection and calculation of standard fluorescence parameters including F0, FM, F0’ (calculated), FM’, FV/FM, qP, qL, qN, NPQ, Y(II), Y(NPQ), Y(NO), ETR.
Data Export
Export of original fluorescence traces, saturating pulse analysis data and parameter estimates of light response curves as semicolon- or tab-separated data.
Automated Routines
Repetitive triggering of fluorometer functions (e. g., dark-light induction and dark recovery curves) by adjustable clock. Automatic execution of light exposure protocols and fitting of two different model functions to data of light response experiments. Execution of customized experimental procedures using easily programmable batch files.