Research using TOMST instruments
TOMST instruments have been used or cited in peer-reviewed research across microclimate, soil moisture, forestry, dendrometry, alpine and tundra ecology, hydrology, and environmental monitoring. Below is the TMS method paper, followed by a selection of independent publications.
Climate at ecologically relevant scales: A new temperature and soil moisture logger for long-term microclimate measurement
Wild J., Kopecký M., Macek M., Šanda M., Jankovec J., & Haase T. (2019). Climate at ecologically relevant scales: A new temperature and soil moisture logger for long-term microclimate measurement. Agricultural and Forest Meteorology.
The foundational TOMST TMS description paper that instrument users are asked to cite.
doi.org/10.1016/j.agrformet.2018.12.018Selected publications using TOMST instruments
Disclaimer
The publications listed here were identified through public bibliographic sources - including Crossref, PubMed, Europe PMC / PMC, NASA ADS, Nature, Wiley Online Library, ScienceDirect (Elsevier), Springer, AGU, Copernicus, Frontiers, Cambridge Core, OSTI, and institutional research repositories - and were selected because their published methods or data descriptions state that TOMST instruments (TMS / TMS-4 dataloggers, Thermologger, or Point Dendrometer) were used, or because they are the peer-reviewed method, calibration, database, or software resources on which such use is based. Almost all listed items are peer-reviewed journal articles or peer-reviewed data/software papers; two publicly archived datasets and one public technical report are included and labelled as such. Inclusion on this list does not imply that any author, co-author, institution, journal, or funding body endorses, sponsors, is affiliated with, or recommends TOMST or its products; nor does it imply that TOMST endorses those authors or their conclusions. Bibliographic details (authors, year, title, journal, DOI) were taken from the cited public records and are provided for reference only - please consult each original publication via its DOI or link for authoritative details. This is a curated selection, not a complete list of all research involving TOMST instruments.
If you are an author and would like your work added, corrected, or removed, please contact us at tomst@tomst.com.
Showing 31 of 31 publications.
- TMS loggers (dominant sensor type in the database)database / microclimate
Lembrechts J. J., Aalto J., Ashcroft M. B., De Frenne P., Kopecký M., Lenoir J., et al. (2020). SoilTemp: A global database of near-surface temperature. Global Change Biology.
The SoilTemp database underpinning the global microclimate community, heavily populated by TOMST TMS loggers. Large consortium; author list truncated.
doi.org/10.1111/gcb.15123 - TMS-derived soil temperature datadata product / microclimate
Lembrechts J. J., van den Hoogen J., et al. (2022). Global maps of soil temperature. Global Change Biology.
Global 1 km soil-temperature product built on the TMS-heavy SoilTemp database. Online 2021, issue 2022; author list truncated.
doi.org/10.1111/gcb.16060 - TOMST TMS logger (soil-moisture calibration)soil moisture / methods
Kopecký M., Macek M., & Wild J. (2021). Topographic Wetness Index calculation guidelines based on measured soil moisture and plant species composition. Science of the Total Environment.
The calibration paper whose 'universal' curve is the default TMS-to-VWC conversion across many TMS studies and in myClim.
doi.org/10.1016/j.scitotenv.2020.143785 - TOMST TMS4 (accuracy comparison)methods / sensor validation
Maclean I. M. D., et al. (2021). On the measurement of microclimate. Methods in Ecology and Evolution.
Widely cited methods paper assessing the accuracy of TMS4 loggers for microclimate measurement. Full author list truncated.
doi.org/10.1111/2041-210X.13627 - TOMST TMS-4arctic tundra microclimate
von Oppen J., Assmann J. J., Bjorkman A. D., Treier U. A., Elberling B., Nabe-Nielsen J., & Normand S. (2022). Cross-scale regulation of seasonal microclimate by vegetation and snow in the Arctic tundra. Global Change Biology.
Field study of how tundra vegetation and snow shape microclimate, using TOMST TMS-4 loggers.
doi.org/10.1111/gcb.16426 - TOMST TMS-4boreal / tundra microclimate
Aalto J., Tyystjärvi V., Niittynen P., Kemppinen J., Rissanen T., Gregow H., & Luoto M. (2022). Microclimate temperature variations from boreal forests to the tundra. Agricultural and Forest Meteorology.
Large multi-site study of thermal heterogeneity from boreal forest to tundra using TOMST TMS-4 loggers.
doi.org/10.1016/j.agrformet.2022.109037 - TOMST TMS-4soil moisture / hydrology
Kemppinen J., Niittynen P., Rissanen T., Tyystjärvi V., Aalto J., & Luoto M. (2023). Soil Moisture Variations From Boreal Forests to the Tundra. Water Resources Research.
Large soil-moisture survey from boreal forest to tundra based on 503 TOMST TMS-4 loggers.
doi.org/10.1029/2022WR032719 - TOMST TMStropical forest microclimate
Ismaeel A., Tai A. P. K., Ghizoni Santos E., Maraia H., Aalto I., Altman J., Doležal J., Lembrechts J. J., et al. (2024). Patterns of tropical forest understory temperatures. Nature Communications.
High-profile pantropical microclimate synthesis built on 180 TOMST TMS loggers.
doi.org/10.1038/s41467-024-44734-0 - TOMST TMS loggerplant ecology / microclimate
Kopecký M., Hederová L., Macek M., Klinerová T., & Wild J. (2024). Forest plant indicator values for moisture reflect atmospheric vapour pressure deficit rather than soil water content. New Phytologist.
Uses in-situ TMS soil-moisture measurements to test what plant moisture indicator values actually track.
doi.org/10.1111/nph.20068 - TOMST TMS-4tundra / greenhouse-gas fluxes
Virkkala A., et al. (2024). High-resolution spatial patterns and drivers of terrestrial ecosystem carbon dioxide, methane, and nitrous oxide fluxes in the tundra. Biogeosciences.
Fine-scale tundra greenhouse-gas study using TOMST TMS-4 loggers for soil temperature. Long author list truncated.
doi.org/10.5194/bg-21-335-2024 - TOMST TMS-4tropical forest microclimate / disturbance
Ghizoni Santos E., Svátek M., Nunes M. H., Aalto J., Senior R. A., Matula R., Plichta R., & Maeda E. E. (2024). Structural changes caused by selective logging undermine the thermal buffering capacity of tropical forests. Agricultural and Forest Meteorology.
Shows how selective logging warms tropical understory microclimate, measured with TOMST TMS-4 loggers.
doi.org/10.1016/j.agrformet.2024.109912 - TOMST TMS-4 (soil moisture)tropical tree growth / microclimate
Plavcová L., Tumajer J., Altman J., Svoboda M., Stegehuis A. I., Pejcha V., et al. (2025). High Inter-Specific Diversity and Seasonality of Trunk Radial Growth in Trees Along an Afrotropical Elevational Gradient. Plant, Cell & Environment.
Afrotropical tree-growth study; TOMST TMS-4 loggers provided the soil-moisture microclimate data. Author list truncated.
doi.org/10.1111/pce.15295 - TOMST TMS-4tropical (Amazon) microclimate
Ma Z., Gris D., do Nascimento P. D. J. F. P., de Castilho C. V., Ribeiro S. C., Tapajós R., Machado W., Júnior M. A., et al. (2025). The variability of microclimate in the Amazon Rainforest. Agricultural and Forest Meteorology.
Characterises Amazon understory microclimate and its drivers using TOMST TMS-4 loggers.
doi.org/10.1016/j.agrformet.2025.110866 - TOMST TMS4microclimate / methods
Sanczuk, et al. (2025). Continuous quantification of forest microclimate temperatures in space and time using fibre-optic technology. Methods in Ecology and Evolution.
Benchmarks a fibre-optic microclimate method against standard TOMST TMS4 loggers. Full author list not captured.
doi.org/10.1111/2041-210X.70151 - TOMST TMS-4dataset / grassland microclimate
Vandvik V., Halbritter A. H., Macias-Fauria M., Maitner B. S., Michaletz S. T., Telford R. J., et al. (2025). Plant traits and associated ecological data from global change experiments and climate gradients in Norway. Scientific Data.
Open dataset from Norwegian global-change experiments; microclimate recorded with TOMST TMS-4 loggers. Large consortium; author list truncated.
doi.org/10.1038/s41597-025-05509-4 - TOMST TMS-4tropical (Southeast Asia) microclimate
Ghizoni Santos E., Ismaeel A., Maraia H., Altman J., Doležal J., Sam K., Kopecký M., Svátek M., et al. (2026). The Future of Forest Microclimate in Southeast Asia. Geophysical Research Letters.
Projects future understory microclimate across Southeast Asia using a TOMST TMS-4 logger network.
doi.org/10.1029/2025GL120734 - TOMST TMS-4boreal-alpine ecotone microclimate
Hensel A., & Ramtvedt E. N. (2026). Differences in surface-subsurface temperature regimes and soil moisture between vegetation types across a boreal-alpine ecotone. Catena.
Vegetation-type differences in soil temperature and moisture across a boreal-alpine ecotone at Dagalifjell, Norway, measured with 40 TOMST TMS-4 loggers.
doi.org/10.1016/j.catena.2026.110337 - TMS / TMS4 / Thermologger (software support)software / microclimate
Man M., Kalčík V., Macek M., Brůna J., Hederová L., Wild J., & Kopecký M. (2023). myClim: Microclimate data handling and standardised analyses in R. Methods in Ecology and Evolution.
The standard R toolkit for TOMST TMS and Thermologger microclimate data; implements the Wild 2019 and Kopecky 2021 calibrations.
doi.org/10.1111/2041-210X.14192 - TOMST Thermologger and TMS loggertemperate forest microclimate
Greiser C., Hederová L., Vico G., Wild J., Macek M., & Kopecký M. (2024). Higher soil moisture increases microclimate temperature buffering in temperate broadleaf forests. Agricultural and Forest Meteorology.
Links soil water content to forest temperature buffering, using TOMST Thermologgers and TMS loggers.
doi.org/10.1016/j.agrformet.2023.109828 - TOMST Thermologgermicroclimate / forest disturbance
Greiser C., Huo L., Ghaly M., Brown I., Metsu C., Van Meerbeek K., & Lehmann P. (2025). Bark beetles as microclimate engineers - thermal characteristics of infested spruce trees at the canopy surface and below the canopy. Agricultural and Forest Meteorology.
Measures how bark-beetle-killed spruce stands change microclimate, using TOMST Thermologgers.
doi.org/10.1016/j.agrformet.2025.110796 - TOMST Thermologger and TMS-4microclimate / data product
Brůna J., Macek M., Man M., Hederová L., Klinerová T., Moudrý V., Heurich M., Červenka J., et al. (2026). High-resolution microclimatic grids for the Bohemian Forest Ecosystem based on in situ measurements. Scientific Data.
Dense microclimate network (Thermologgers + TMS-4) underpinning high-resolution temperature grids for the Šumava/Bavarian Forest.
doi.org/10.1038/s41597-026-06566-z - TOMST Thermologger and TMS-4mountain ecosystems / microclimate
Sundqvist M. K., Wardle D. A., et al. (2026). Decoupled Climatic Drivers of Tree and Ground-Layer Carbon Uptake in Mountain Ecosystems Around the World. Global Change Biology.
Global mountain study using TOMST Thermologgers and TMS-4 loggers to relate microclimate to plant productivity. Long author list truncated.
doi.org/10.1111/gcb.70877 - TOMST point dendrometertree physiology / transpiration
Bright R. M., Creek D., Lange H., Meissner H., Merlin M., & Zhao J. (2025). Using point dendrometers to improve forest transpiration estimation accuracy at stand scales. Agricultural and Forest Meteorology.
Applies TOMST point dendrometers to reduce uncertainty in scaling sap flow to whole-stand transpiration.
doi.org/10.1016/j.agrformet.2025.110986 - automatic point (TOMST) dendrometerstree growth / dendrometry
Tumajer J., Kašpar J., Altman J., Altmanová N., Camarero J. J., Cienciala E., Čada V., Čihák T., et al. (2025). Longer growing seasons will not offset growth loss in drought-prone temperate forests of Central-Southeast Europe. Nature Communications.
Uses automatic point (TOMST) dendrometer records to validate a forest-growth model across Central-Southeast Europe. 27-author list truncated.
doi.org/10.1038/s41467-025-64568-8 - TOMST point dendrometertree growth / silviculture
Vacek Z., Tomášková I., Fuchs Z., Šimůnek V., Vacek S., Cukor J., Bílek L., Gallo J., et al. (2025). Impact of technical water retention on European beech (Fagus sylvatica L.) resilience and growth dynamics. Journal of Forest Science.
Field experiment using 90 TOMST point dendrometers to track beech growth under water-retention measures.
doi.org/10.17221/92/2024-JFS - automatic point dendrometers (TOMST)tree physiology / dendrometry
Camarero J. J., Salomón R. L., Gazol A., Valeriano C., Tamudo E., Rubio-Cuadrado Á., Colangelo M., & Cabon A. (2026). Girdling increases branch capacity to rehydrate in Juniperus thurifera and drought hampers bimodal growth. Quantitative Plant Biology.
Uses TOMST point dendrometers to study girdling and drought effects on Juniperus thurifera branch growth.
doi.org/10.1017/qpb.2026.10037 - point dendrometers (TOMST)tree growth / host-parasite ecology
Dolezal J., Lanta V., Korznikov K., Plavcova L., & Tumajer J. (2026). When parasites bite hardest: mistletoe effects on oak radial growth peak near climatic optima. Frontiers in Forests and Global Change.
Peer-reviewed study using TOMST point dendrometers on mistletoe-infected and healthy oaks (paired with TMS soil-moisture data).
doi.org/10.3389/ffgc.2026.1815466 - TOMST point dendrometerdendrometry / instrument comparison
Tourville J. C., Lineman B., & Murray G. (2025). Appalachian Mountain Club dendrometer study - Final Report to the Forest Ecosystem Monitoring Cooperative. University of Vermont Forest Ecosystem Monitoring Cooperative (technical report).
Public technical report directly comparing a TOMST point dendrometer against another brand; not peer-reviewed.
View source - TOMST point dendrometerdataset / dendrometry
Lo M., Stoycheva T., & McCormack M. L. (2023). Dendrometer data at The Morton Arboretum Forestry Plots 2019-2023 (dataset). OSTI.GOV / DOE Data Explorer.
Archived dataset containing TOMST point-dendrometer records alongside band-dendrometer data.
View source - TOMST TMS dataloggersplant ecology / experimental microclimate
Thakur D., & Münzbergová Z. (2022). Rhizome trait scaling relationships are modulated by growth conditions and are linked to plant fitness. Annals of Botany.
Uses TOMST TMS loggers to control and reproduce natural soil-moisture regimes in a growth-chamber experiment on Festuca rubra rhizome traits.
doi.org/10.1093/aob/mcac023 - TOMST TMS-4plant ecophysiology / microclimate
Banerjee S., Rathore N., Semerád J., Cajthaml T., Münzbergová Z., & Thakur D. (2025). Soil moisture and its interaction with temperature determine root metabolomes of a Himalayan alpine shrub. Physiologia Plantarum.
Records the field microclimate of a Himalayan alpine shrub with TOMST TMS-4 loggers to link soil moisture and temperature to root metabolomes.
doi.org/10.1111/ppl.70444