Articles | Volume 22, issue 5
https://doi.org/10.5194/bg-22-1277-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-22-1277-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Mar 2025
Research article |
| 06 Mar 2025
| 06 Mar 2025
Eddy-covariance fluxes of CO2, CH4 and N2O in a drained peatland forest after clear-cutting
Olli-Pekka Tikkasalo
CORRESPONDING AUTHOR
Natural Resources Institute Finland (Luke), Bioeconomy and Environment, 00791 Helsinki, Finland
Olli Peltola
Natural Resources Institute Finland (Luke), Research infrastructure services, 00791 Helsinki, Finland
Pavel Alekseychik
Natural Resources Institute Finland (Luke), Bioeconomy and Environment, 00791 Helsinki, Finland
Juha Heikkinen
Natural Resources Institute Finland (Luke), Natural Resources, 00791 Helsinki, Finland
Samuli Launiainen
Natural Resources Institute Finland (Luke), Bioeconomy and Environment, 00791 Helsinki, Finland
Aleksi Lehtonen
Natural Resources Institute Finland (Luke), Bioeconomy and Environment, 00791 Helsinki, Finland
Qian Li
Natural Resources Institute Finland (Luke), Bioeconomy and Environment, 00791 Helsinki, Finland
Eduardo Martínez-García
Natural Resources Institute Finland (Luke), Bioeconomy and Environment, 00791 Helsinki, Finland
Mikko Peltoniemi
Natural Resources Institute Finland (Luke), Bioeconomy and Environment, 00791 Helsinki, Finland
Petri Salovaara
Natural Resources Institute Finland (Luke), Research infrastructure services, 00791 Helsinki, Finland
Ville Tuominen
Finnish Meteorological Institute (FMI), Climate System Research, 00560 Helsinki, Finland
Raisa Mäkipää
Natural Resources Institute Finland (Luke), Bioeconomy and Environment, 00791 Helsinki, Finland
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Cited articles
Abril-Pla, O., Andreani, V., Carroll, C., Dong, L., Fonnesbeck, C. J., Kochurov, M., Kumar, R., Lao, J., Luhmann, C. C., Martin, O. A., Osthege, M., Vieira, R., Wiecki, T., and Zinkov, R.: PyMC: a modern, and comprehensive probabilistic programming framework in Python, PeerJ Comput. Sci., 9, e1516, https://doi.org/10.7717/peerj-cs.1516, 2023.
Ahmed, T.: The carbon balance of a clear-cut forest in Finland, Master's thesis, University of Eastern Finland, Kuopio, Finland, http://urn.fi/urn:nbn:fi:uef-20191385 (last access: 24 February 2025), 2019.
Alm, J., Wall, A., Myllykangas, J.-P., Ojanen, P., Heikkinen, J., Henttonen, H. M., Laiho, R., Minkkinen, K., Tuomainen, T., and Mikola, J.: A new method for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland, Biogeosciences, 20, 3827–3855, https://doi.org/10.5194/bg-20-3827-2023, 2023.
Arriga, N., Rannik, Ü., Aubinet, M., Carrara, A., Vesala, T., and Papale, D.: Experimental validation of footprint models for eddy covariance CO2 flux measurements above grassland by means of natural and artificial tracers, Agr. Forest Meteorol., 242, 75–84, https://doi.org/10.1016/j.agrformet.2017.04.006, 2017.
Bahram, M., Espenberg, M., Pärn, J., Lehtovirta-Morley, L., Anslan, S., Kasak, K., Kõljalg, U., Liira, J., Maddison, M., Moora, M., Niinemets, Ü., Öpik, M., Pärtel, M., Soosaar, K., Zobel, M., Hildebrand, F., Tedersoo, L., and Mander, Ü.: Structure and function of the soil microbiome underlying N2O emissions from global wetlands, Nat. Commun., 13, 1430, https://doi.org/10.1038/s41467-022-29161-3, 2022.
Baldocchi, D. D.: Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future, Glob. Change Biol., 9, 479–492, https://doi.org/10.1046/j.1365-2486.2003.00629.x, 2003.
Breiman, L.: Random Forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001.
Chu, H., Luo, X., Ouyang, Z., Chan, W. S., Dengel, S., Biraud, S. C., Torn, M. S., Metzger, S., Kumar, J., Arain, M. A., Arkebauer, T. J., Baldocchi, D., Bernacchi, C., Billesbach, D., Black, T. A., Blanken, P. D., Bohrer, G., Bracho, R., Brown, S., Brunsell, N. A., Chen, J., Chen, X., Clark, K., Desai, A. R., Duman, T., Durden, D., Fares, S., Forbrich, I., Gamon, J. A., Gough, C. M., Griffis, T., Helbig, M., Hollinger, D., Humphreys, E., Ikawa, H., Iwata, H., Ju, Y., Knowles, J. F., Knox, S. H., Kobayashi, H., Kolb, T., Law, B., Lee, X., Litvak, M., Liu, H., Munger, J. W., Noormets, A., Novick, K., Oberbauer, S. F., Oechel, W., Oikawa, P., Papuga, S. A., Pendall, E., Prajapati, P., Prueger, J., Quinton, W. L., Richardson, A. D., Russell, E. S., Scott, R. L., Starr, G., Staebler, R., Stoy, P. C., Stuart-Haëntjens, E., Sonnentag, O., Sullivan, R. C., Suyker, A., Ueyama, M., Vargas, R., Wood, J. D., and Zona, D.: Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites, Agr. Forest Meteorol., 301–302, 108350, https://doi.org/10.1016/j.agrformet.2021.108350, 2021.
De Luca, G., N. Silva, J. M., Cerasoli, S., Araújo, J., Campos, J., Di Fazio, S., and Modica, G.: Object-Based Land Cover Classification of Cork Oak Woodlands using UAV Imagery and Orfeo ToolBox, Remote Sens., 11, 1238, https://doi.org/10.3390/rs11101238, 2019.
Drzymulska, D.: Peat decomposition – shaping factors, significance in environmental studies and methods of determination; a literature review, Geologos, 22, 61–69, 2016.
Dumortier, P., Aubinet, M., Lebeau, F., Naiken, A., and Heinesch, B.: Point source emission estimation using eddy covariance: Validation using an artificial source experiment, Agr. Forest Meteorol., 266–267, 148–156, https://doi.org/10.1016/j.agrformet.2018.12.012, 2019.
FAO: Peatland mapping and monitoring: Recommendations and technical overview, FAO, Rome, Italy, 82 pp., https://doi.org/10.4060/ca8200en, 2020.
Forbrich, I., Kutzbach, L., Wille, C., Becker, T., Wu, J., and Wilmking, M.: Cross-evaluation of measurements of peatland methane emissions on microform and ecosystem scales using high-resolution landcover classification and source weight modelling, Agr. Forest Meteorol., 151, 864–874, https://doi.org/10.1016/j.agrformet.2011.02.006, 2011.
Forster, P., Storelvmo, T., Armour, K., Collins, W., Dufresne, J.-L., Frame, D., Lunt, D. J., Mauritsen, T., Palmer, M. D., Watanabe, M., Wild, M., and Zhang, H.: The Earth's Energy Budget, Climate Feedbacks and Climate Sensitivity, in: Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, 923–1054, https://doi.org/10.1017/9781009157896.009, 2023.
Franz, D., Koebsch, F., Larmanou, E., Augustin, J., and Sachs, T.: High net CO2 and CH4 release at a eutrophic shallow lake on a formerly drained fen, Biogeosciences, 13, 3051–3070, https://doi.org/10.5194/bg-13-3051-2016, 2016.
Franz, D., Acosta, M., Altimir, N., Arriga, N., Arrouays, D., Aubinet, M., Aurela, M., Ayres, E., López-Ballesteros, A., Barbaste, M., Berveiller, D., Biraud, S., Boukir, H., Brown, T., Brümmer, C., Buchmann, N., Burba, G., Carrara, A., Cescatti, A., Ceschia, E., Clement, R., Cremonese, E., Crill, P., Darenova, E., Dengel, S., D'Odorico, P., Gianluca, F., Fleck, S., Fratini, G., Fuß, R., Gielen, B., Gogo, S., Grace, J., Graf, A., Grelle, A., Gross, P., Grünwald, T., Haapanala, S., Hehn, M., Heinesch, B., Heiskanen, J., Herbst, M., Herschlein, C., Hörtnagl, L., Hufkens, K., Ibrom, A., Jolivet, C., Joly, L., Jones, M., Kiese, R., Klemedtsson, L., Kljun, N., Klumpp, K., Kolari, P., Kolle, O., Kowalski, A., Kutsch, W., Laurila, T., Ligne, A. D., Linder, S., Lindroth, A., Lohila, A., Longdoz, B., Mammarella, I., Manise, T., Marañon-Jimenez, S., Matteucci, G., Mauder, M., Meier, P., Merbold, L., Mereu, S., Metzger, S., Migliavacca, M., Mölder, M., Montagnani, L., Moureaux, C., Nelson, D., Nemitz, E., Nicolini, G., Nilsson, M. B., Beeck, M. O. de, Osborne, B., Löfvenius, M. O., Pavelka, M., Peichl, M., Peltola, O., Pihlatie, M., Pitacco, A., Pokorny, R., Pumpanen, J., Ratié, C., Schrumpf, M., Sedlák, P., Ortiz, P. S., Siebicke, L., Šigut, L., Silvennoinen, H., Simioni, G., Skiba, U., Sonnentag, O., Soudani, K., Soulé, P., Steinbrecher, R., Tallec, T., Thimonier, A., Tuittila, E.-S., Tuovinen, J.-P., Vestin, P., Vincent, G., Vincke, C., Vitale, D., Waldner, P., Weslien, P., Wingate, L., Wohlfahrt, G., Zahniser, M., and Vesala, T.: Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe's terrestrial ecosystems: a review, Int. Agrophys., 32, 439–455, https://doi.org/10.1515/intag-2017-0039, 2018.
Fratini, G., Ibrom, A., Arriga, N., Burba, G., and Papale, D.: Relative humidity effects on water vapour fluxes measured with closed-path eddy-covariance systems with short sampling lines, Agr. Forest Meteorol., 165, 53–63, https://doi.org/10.1016/j.agrformet.2012.05.018, 2012.
Golyandina, N., Nekrutkin, V., and Zhigljavsky, A. A.: Analysis of Time Series Structure: SSA and Related Techniques, Chapman and Hall/CRC, New York, 320 pp., https://doi.org/10.1201/9780367801687, 2001.
Goodrich, J. P., Wall, A. M., Campbell, D. I., Fletcher, D., Wecking, A. R., and Schipper, L. A.: Improved gap filling approach and uncertainty estimation for eddy covariance N2O fluxes, Agr. Forest Meteorol., 297, 108280, https://doi.org/10.1016/j.agrformet.2020.108280, 2021.
Grelle, A., Hedwall, P.-O., Strömgren, M., Håkansson, C., and Bergh, J.: From source to sink – recovery of the carbon balance in young forests, Agr. Forest Meteorol., 330, 109290, https://doi.org/10.1016/j.agrformet.2022.109290, 2023.
Grizonnet, M., Michel, J., Poughon, V., Inglada, J., Savinaud, M., and Cresson, R.: Orfeo ToolBox: open source processing of remote sensing images, Open Geospatial Data, Software and Standards, 2, 15, https://doi.org/10.1186/s40965-017-0031-6, 2017.
Groffman, P. M., Butterbach-Bahl, K., Fulweiler, R. W., Gold, A. J., Morse, J. L., Stander, E. K., Tague, C., Tonitto, C., and Vidon, P.: Challenges to incorporating spatially and temporally explicit phenomena (hotspots and hot moments) in denitrification models, Biogeochemistry, 93, 49–77, https://doi.org/10.1007/s10533-008-9277-5, 2009.
Grybas, H. and Congalton, R. G.: A Comparison of Multi-Temporal RGB and Multispectral UAS Imagery for Tree Species Classification in Heterogeneous New Hampshire Forests, Remote Sens., 13, 2631, https://doi.org/10.3390/rs13132631, 2021.
Heidbach, K., Schmid, H. P., and Mauder, M.: Experimental evaluation of flux footprint models, Agr. Forest Meteorol., 246, 142–153, https://doi.org/10.1016/j.agrformet.2017.06.008, 2017.
Helbig, M., Wischnewski, K., Kljun, N., Chasmer, L. E., Quinton, W. L., Detto, M., and Sonnentag, O.: Regional atmospheric cooling and wetting effect of permafrost thaw-induced boreal forest loss, Glob. Change Biol., 22, 4048–4066, https://doi.org/10.1111/gcb.13348, 2016.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS), Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.adbb2d47, 2023.
Huttunen, J. T., Nykänen, H., Martikainen, P. J., and Nieminen, M.: Fluxes of nitrous oxide and methane from drained peatlands following forest clear-felling in southern Finland, Plant Soil, 255, 457–462, https://doi.org/10.1023/A:1026035427891, 2003.
Irvin, J., Zhou, S., McNicol, G., Lu, F., Liu, V., Fluet-Chouinard, E., Ouyang, Z., Knox, S. H., Lucas-Moffat, A., Trotta, C., Papale, D., Vitale, D., Mammarella, I., Alekseychik, P., Aurela, M., Avati, A., Baldocchi, D., Bansal, S., Bohrer, G., Campbell, D. I., Chen, J., Chu, H., Dalmagro, H. J., Delwiche, K. B., Desai, A. R., Euskirchen, E., Feron, S., Goeckede, M., Heimann, M., Helbig, M., Helfter, C., Hemes, K. S., Hirano, T., Iwata, H., Jurasinski, G., Kalhori, A., Kondrich, A., Lai, D. Y., Lohila, A., Malhotra, A., Merbold, L., Mitra, B., Ng, A., Nilsson, M. B., Noormets, A., Peichl, M., Rey-Sanchez, A. C., Richardson, A. D., Runkle, B. R., Schäfer, K. V., Sonnentag, O., Stuart-Haëntjens, E., Sturtevant, C., Ueyama, M., Valach, A. C., Vargas, R., Vourlitis, G. L., Ward, E. J., Wong, G. X., Zona, D., Alberto, Ma. C. R., Billesbach, D. P., Celis, G., Dolman, H., Friborg, T., Fuchs, K., Gogo, S., Gondwe, M. J., Goodrich, J. P., Gottschalk, P., Hörtnagl, L., Jacotot, A., Koebsch, F., Kasak, K., Maier, R., Morin, T. H., Nemitz, E., Oechel, W. C., Oikawa, P. Y., Ono, K., Sachs, T., Sakabe, A., Schuur, E. A., Shortt, R., Sullivan, R. C., Szutu, D. J., Tuittila, E.-S., Varlagin, A., Verfaillie, J. G., Wille, C., Windham-Myers, L., Poulter, B., and Jackson, R. B.: Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands, Agr. Forest Meteorol., 308–309, 108528, https://doi.org/10.1016/j.agrformet.2021.108528, 2021.
Jandl, R., Lindner, M., Vesterdal, L., Bauwens, B., Baritz, R., Hagedorn, F., Johnson, D. W., Minkkinen, K., and Byrne, K. A.: How strongly can forest management influence soil carbon sequestration?, Geoderma, 137, 253–268, https://doi.org/10.1016/j.geoderma.2006.09.003, 2007.
Kaarakka, L., Cornett, M., Domke, G., Ontl, T., and Dee, L. E.: Improved forest management as a natural climate solution: A review, Ecol. solut. evid., 2, e12090, https://doi.org/10.1002/2688-8319.12090, 2021.
Kim, Y. and Tanaka, N.: Winter N2O emission rate and its production rate in soil underlying the snowpack in a subboreal region, Japan, J. Geophys. Res.-Atmos., 107, ACH 14-1–ACH 14-13, https://doi.org/10.1029/2001JD000833, 2002.
Kljun, N., Rotach, M. W., and Schmid, H. P.: A Three-Dimensional Backward Lagrangian Footprint Model For A Wide Range Of Boundary-Layer Stratifications, Bound.-Lay. Meteorol., 103, 205–226, https://doi.org/10.1023/A:1014556300021, 2002.
Kljun, N., Calanca, P., Rotach, M. W., and Schmid, H. P.: A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP), Geosci. Model Dev., 8, 3695–3713, https://doi.org/10.5194/gmd-8-3695-2015, 2015.
Kolari, P., Pumpanen, J., Rannik, Ü., Ilvesniemi, H., Hari, P., and Berninger, F.: Carbon balance of different aged Scots pine forests in Southern Finland, Glob. Change Biol., 10, 1106–1119, https://doi.org/10.1111/j.1529-8817.2003.00797.x, 2004.
Kolton, M., Weston, D. J., Mayali, X., Weber, P. K., McFarlane, K. J., Pett-Ridge, J., Somoza, M. M., Lietard, J., Glass, J. B., Lilleskov, E. A., Shaw, A. J., Tringe, S., Hanson, P. J., and Kostka, J. E.: Defining the Sphagnum Core Microbiome across the North American Continent Reveals a Central Role for Diazotrophic Methanotrophs in the Nitrogen and Carbon Cycles of Boreal Peatland Ecosystems, Microb. Ecol., 13, e03714-21, https://doi.org/10.1128/mbio.03714-21, 2022.
Korhonen, K. T., Ahola, A., Heikkinen, J., Henttonen, H. M., Hotanen, J.-P., Ihalainen, A., Melin, M., Pitkänen, J., Räty, M., Sirviö, M., and Strandström, M.: Forests of Finland 2014–2018 and their development 1921–2018, Silva Fenn., 55, 10662, https://doi.org/10.14214/sf.10662, 2021.
Korkiakoski, M., Tuovinen, J.-P., Penttilä, T., Sarkkola, S., Ojanen, P., Minkkinen, K., Rainne, J., Laurila, T., and Lohila, A.: Greenhouse gas and energy fluxes in a boreal peatland forest after clear-cutting, Biogeosciences, 16, 3703–3723, https://doi.org/10.5194/bg-16-3703-2019, 2019.
Korkiakoski, M., Ojanen, P., Tuovinen, J.-P., Minkkinen, K., Nevalainen, O., Penttilä, T., Aurela, M., Laurila, T., and Lohila, A.: Partial cutting of a boreal nutrient-rich peatland forest causes radically less short-term on-site CO2 emissions than clear-cutting, Agr. Forest Meteorol., 332, 109361, https://doi.org/10.1016/j.agrformet.2023.109361, 2023.
Kuuluvainen, T., Tahvonen, O., and Aakala, T.: Even-Aged and Uneven-Aged Forest Management in Boreal Fennoscandia: A Review, AMBIO, 41, 720–737, https://doi.org/10.1007/s13280-012-0289-y, 2012.
Laine, J., Vasander, H., Hotanen, J.-P., Nousiainen, H., Saarinen, M., and Penttilä, T.: Suotyypit ja turvekankaat-opas kasvupaikkojen tunnistamiseen, Hämeenlinna, Metsäkustannus, 160 pp., ISBN: 978-952-5694-89-5, 2012.
Larmola, T., Tuittila, E.-S., Tiirola, M., Nykänen, H., Martikainen, P. J., Yrjälä, K., Tuomivirta, T., and Fritze, H.: The role of Sphagnum mosses in the methane cycling of a boreal mire, Ecology, 91, 2356–2365, https://doi.org/10.1890/09-1343.1, 2010.
Laurila, T., Aurela, M., Hatakka, J., Hotanen, J.-P., Jauhiainen, J., Korkiakoski, M., Korpela, L., Koskinen, M., Laiho, R., Lehtonen, A., Leppä, K., Linkosalmi, M., Lohila, A., Minkkinen, K., Mäkelä, T., Mäkiranta, P., Nieminen, M., Ojanen, P., Peltoniemi, M., Penttilä, T., Rainne, J., Rautakoski, H., Saarinen, M., Salovaara, P., Sarkkola, S., and Mäkipää, R.: Set-up and instrumentation of the greenhouse gas measurements on experimental sites of continuous cover forestry, Natural resources and bioeconomy studies, Natural Resources Institute Finland (Luke), 51 pp., http://urn.fi/URN:ISBN:978-952-380-191-2 (last access: 24 February 2025), 2021.
Lehtonen, A., Eyvindson, K., Härkönen, K., Leppä, K., Salmivaara, A., Peltoniemi, M., Salminen, O., Sarkkola, S., Launiainen, S., Ojanen, P., Räty, M., and Mäkipää, R.: Potential of continuous cover forestry on drained peatlands to increase the carbon sink in Finland, Sci. Rep., 13, 15510, https://doi.org/10.1038/s41598-023-42315-7, 2023.
Leppä, K., Hökkä, H., Laiho, R., Launiainen, S., Lehtonen, A., Mäkipää, R., Peltoniemi, M., Saarinen, M., Sarkkola, S., and Nieminen, M.: Selection Cuttings as a Tool to Control Water Table Level in Boreal Drained Peatland Forests, Front. Earth Sci., 8, 576510, https://doi.org/10.3389/feart.2020.576510, 2020a.
Leppä, K., Korkiakoski, M., Nieminen, M., Laiho, R., Hotanen, J.-P., Kieloaho, A.-J., Korpela, L., Laurila, T., Lohila, A., Minkkinen, K., Mäkipää, R., Ojanen, P., Pearson, M., Penttilä, T., Tuovinen, J.-P., and Launiainen, S.: Vegetation controls of water and energy balance of a drained peatland forest: Responses to alternative harvesting practices, Agr. Forest Meteorol., 295, 108198, https://doi.org/10.1016/j.agrformet.2020.108198, 2020b.
Ludwig, S. M., Schiferl, L., Hung, J., Natali, S. M., and Commane, R.: Resolving heterogeneous fluxes from tundra halves the growing season carbon budget, Biogeosciences, 21, 1301–1321, https://doi.org/10.5194/bg-21-1301-2024, 2024.
Mahecha, M. D., Reichstein, M., Lange, H., Carvalhais, N., Bernhofer, C., Grünwald, T., Papale, D., and Seufert, G.: Characterizing ecosystem-atmosphere interactions from short to interannual time scales, Biogeosciences, 4, 743–758, https://doi.org/10.5194/bg-4-743-2007, 2007.
Mäkipää, R., Abramoff, R., Adamczyk, B., Baldy, V., Biryol, C., Bosela, M., Casals, P., Curiel Yuste, J., Dondini, M., Filipek, S., Garcia-Pausas, J., Gros, R., Gömöryová, E., Hashimoto, S., Hassegawa, M., Immonen, P., Laiho, R., Li, H., Li, Q., Luyssaert, S., Menival, C., Mori, T., Naudts, K., Santonja, M., Smolander, A., Toriyama, J., Tupek, B., Ubeda, X., Johannes Verkerk, P., and Lehtonen, A.: How does management affect soil C sequestration and greenhouse gas fluxes in boreal and temperate forests? – A review, Forest Ecol. Manag., 529, 120637, https://doi.org/10.1016/j.foreco.2022.120637, 2023.
Mäkiranta, P., Riutta, T., Penttilä, T., and Minkkinen, K.: Dynamics of net ecosystem CO2 exchange and heterotrophic soil respiration following clearfelling in a drained peatland forest, Agr. Forest Meteorol., 150, 1585–1596, https://doi.org/10.1016/j.agrformet.2010.08.010, 2010.
Mäkiranta, P., Laiho, R., Penttilä, T., and Minkkinen, K.: The impact of logging residue on soil GHG fluxes in a drained peatland forest, Soil Biol. Biochem., 48, 1–9, https://doi.org/10.1016/j.soilbio.2012.01.005, 2012.
Maljanen, M., Sigurdsson, B. D., Guðmundsson, J., Óskarsson, H., Huttunen, J. T., and Martikainen, P. J.: Greenhouse gas balances of managed peatlands in the Nordic countries – present knowledge and gaps, Biogeosciences, 7, 2711–2738, https://doi.org/10.5194/bg-7-2711-2010, 2010.
Mauder, M., Cuntz, M., Drüe, C., Graf, A., Rebmann, C., Schmid, H. P., Schmidt, M., and Steinbrecher, R.: A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements, Agr. Forest Meteorol., 169, 122–135, https://doi.org/10.1016/j.agrformet.2012.09.006, 2013.
Mazzola, V., Perks, M. P., Smith, J., Yeluripati, J., and Xenakis, G.: Seasonal patterns of greenhouse gas emissions from a forest-to-bog restored site in northern Scotland: Influence of microtopography and vegetation on carbon dioxide and methane dynamics, Eur. J. Soil Sci., 72, 1332–1353, https://doi.org/10.1111/ejss.13050, 2021.
Minkkinen, K. and Laine, J.: Vegetation heterogeneity and ditches create spatial variability in methane fluxes from peatlands drained for forestry, Plant Soil, 285, 289–304, https://doi.org/10.1007/s11104-006-9016-4, 2006.
Minkkinen, K., Laine, J., and Hökkä, H.: Tree stand development and carbon sequestration in drained peatland stands in Finland – a simulation study, Silva Fenn., 35, 603, https://doi.org/10.14214/sf.603, 2001.
Mjöfors, K., Strömgren, M., Nohrstedt, H.-Ö., and Gärdenäs, A. I.: Impact of site-preparation on soil-surface CO2 fluxes and litter decomposition in a clear-cut in Sweden, Silva Fenn., 49, 1403, https://doi.org/10.14214/sf.1403, 2015.
Moncrieff, J., Clement, R., Finnigan, J., and Meyers, T.: Averaging, Detrending, and Filtering of Eddy Covariance Time Series, in: Handbook of Micrometeorology: A Guide for Surface Flux Measurement and Analysis, edited by: Lee, X., Massman, W., and Law, B., Springer Netherlands, Dordrecht, 7–31, https://doi.org/10.1007/1-4020-2265-4_2, 2005.
Neill, C., Piccolo, M. C., Cerri, C. C., Steudler, P. A., and Melillo, J. M.: Soil Solution Nitrogen Losses During Clearing of Lowland Amazon Forest for Pasture, Plant Soil, 281, 233–245, https://doi.org/10.1007/s11104-005-4435-1, 2006.
Nicolini, G., Fratini, G., Avilov, V., Kurbatova, J. A., Vasenev, I., and Valentini, R.: Performance of eddy-covariance measurements in fetch-limited applications, Theor. Appl. Climatol., 127, 829–840, https://doi.org/10.1007/s00704-015-1673-x, 2017.
Nieminen, M., Hökkä, H., Laiho, R., Juutinen, A., Ahtikoski, A., Pearson, M., Kojola, S., Sarkkola, S., Launiainen, S., Valkonen, S., Penttilä, T., Lohila, A., Saarinen, M., Haahti, K., Mäkipää, R., Miettinen, J., and Ollikainen, M.: Could continuous cover forestry be an economically and environmentally feasible management option on drained boreal peatlands?, Forest Ecol. Manag., 424, 78–84, https://doi.org/10.1016/j.foreco.2018.04.046, 2018.
Ojanen, P., Minkkinen, K., Alm, J., and Penttilä, T.: Soil–atmosphere CO2, CH4 and N2O fluxes in boreal forestry-drained peatlands, Forest Ecol. Manag., 260, 411–421, https://doi.org/10.1016/j.foreco.2010.04.036, 2010.
Ojanen, P., Minkkinen, K., and Penttilä, T.: The current greenhouse gas impact of forestry-drained boreal peatlands, Forest Ecol. Manag., 289, 201–208, https://doi.org/10.1016/j.foreco.2012.10.008, 2013.
Ojanen, P., Mäkiranta, P., Penttilä, T., and Minkkinen, K.: Do logging residue piles trigger extra decomposition of soil organic matter?, Forest Ecol. Manag., 405, 367–380, https://doi.org/10.1016/j.foreco.2017.09.055, 2017.
Onishi, M. and Ise, T.: Explainable identification and mapping of trees using UAV RGB image and deep learning, Sci. Rep, 11, 903, https://doi.org/10.1038/s41598-020-79653-9, 2021.
Paillet, Y., Bergès, L., Hjältén, J., Ódor, P., Avon, C., Bernhardt-Römermann, M., Bijlsma, R.-J., De Bruyn, L., Fuhr, M., Grandin, U., Kanka, R., Lundin, L., Luque, S., Magura, T., Matesanz, S., Mészáros, I., Sebastià, M.-T., Schmidt, W., Standovár, T., Tóthmérész, B., Uotila, A., Valladares, F., Vellak, K., and Virtanen, R.: Biodiversity Differences between Managed and Unmanaged Forests: Meta-Analysis of Species Richness in Europe, Conserv. Biol., 24, 101–112, https://doi.org/10.1111/j.1523-1739.2009.01399.x, 2010.
Päivänen, J. and Hånell, B.: Peatland ecology and forestry – a sound approach, Helsingin yliopiston metsätieteiden laitos, Finland, Helsinki, Helsingin yliopiston metsätieteiden laitos, Vol. 3, 267 pp., ISBN: 978-952-10-4531-8, 2012.
Palviainen, M., Peltomaa, E., Laurén, A., Kinnunen, N., Ojala, A., Berninger, F., Zhu, X., and Pumpanen, J.: Water quality and the biodegradability of dissolved organic carbon in drained boreal peatland under different forest harvesting intensities, Sci. Total Environ., 806, 150919, https://doi.org/10.1016/j.scitotenv.2021.150919, 2022.
Pearson, M., Saarinen, M., Minkkinen, K., Silvan, N., and Laine, J.: Short-term impacts of soil preparation on greenhouse gas fluxes: A case study in nutrient-poor, clearcut peatland forest, Forest Ecol. Manag., 283, 10–26, https://doi.org/10.1016/j.foreco.2012.07.011, 2012.
Peltola, O., Aslan, T., Ibrom, A., Nemitz, E., Rannik, Ü., and Mammarella, I.: The high-frequency response correction of eddy covariance fluxes – Part 1: An experimental approach and its interdependence with the time-lag estimation, Atmos. Meas. Tech., 14, 5071–5088, https://doi.org/10.5194/amt-14-5071-2021, 2021.
Pihlatie, M. K., Kiese, R., Brüggemann, N., Butterbach-Bahl, K., Kieloaho, A.-J., Laurila, T., Lohila, A., Mammarella, I., Minkkinen, K., Penttilä, T., Schönborn, J., and Vesala, T.: Greenhouse gas fluxes in a drained peatland forest during spring frost-thaw event, Biogeosciences, 7, 1715–1727, https://doi.org/10.5194/bg-7-1715-2010, 2010.
Pumpanen, J., Westman, C. J., and Ilvesniemi, H.: Soil CO2 efflux from a podzolic forest soil before and after forest clear-cutting and site preparation, Boreal Env. Res., 9, 199–212, 2004.
Rajakallio, M., Jyväsjärvi, J., Muotka, T., and Aroviita, J.: Blue consequences of the green bioeconomy: Clear-cutting intensifies the harmful impacts of land drainage on stream invertebrate biodiversity, J. Appl. Ecol, 58, 1523–1532, https://doi.org/10.1111/1365-2664.13889, 2021.
Rannik, Ü., Sogachev, A., Foken, T., Göckede, M., Kljun, N., Leclerc, M. Y., and Vesala, T.: Footprint Analysis, in: Eddy Covariance: A Practical Guide to Measurement and Data Analysis, edited by: Aubinet, M., Vesala, T., and Papale, D., Springer Netherlands, Dordrecht, 211–261, https://doi.org/10.1007/978-94-007-2351-1_8, 2012.
Rannik, Ü., Vesala, T., Peltola, O., Novick, K. A., Aurela, M., Järvi, L., Montagnani, L., Mölder, M., Peichl, M., Pilegaard, K., and Mammarella, I.: Impact of coordinate rotation on eddy covariance fluxes at complex sites, Agr. Forest Meteorol., 287, 107940, https://doi.org/10.1016/j.agrformet.2020.107940, 2020.
Rautakoski, H., Korkiakoski, M., Mäkelä, J., Koskinen, M., Minkkinen, K., Aurela, M., Ojanen, P., and Lohila, A.: Exploring temporal and spatial variation of nitrous oxide flux using several years of peatland forest automatic chamber data, Biogeosciences, 21, 1867–1886, https://doi.org/10.5194/bg-21-1867-2024, 2024.
Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M., Berbigier, P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A., Grünwald, T., Havránková, K., Ilvesniemi, H., Janous, D., Knohl, A., Laurila, T., Lohila, A., Loustau, D., Matteucci, G., Meyers, T., Miglietta, F., Ourcival, J.-M., Pumpanen, J., Rambal, S., Rotenberg, E., Sanz, M., Tenhunen, J., Seufert, G., Vaccari, F., Vesala, T., Yakir, D., and Valentini, R.: On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm, Glob. Change Biol., 11, 1424–1439, https://doi.org/10.1111/j.1365-2486.2005.001002.x, 2005.
Rey-Sanchez, C., Arias-Ortiz, A., Kasak, K., Chu, H., Szutu, D., Verfaillie, J., and Baldocchi, D.: Detecting Hot Spots of Methane Flux Using Footprint-Weighted Flux Maps, J. Geophys. Res.-Biogeo., 127, e2022JG006977, https://doi.org/10.1029/2022JG006977, 2022.
Rissanen, A. J., Ojanen, P., Stenberg, L., Larmola, T., Anttila, J., Tuominen, S., Minkkinen, K., Koskinen, M., and Mäkipää, R.: Vegetation impacts ditch methane emissions from boreal forestry-drained peatlands – Moss-free ditches have an order-of-magnitude higher emissions than moss-covered ditches, Front. Environ. Sci., 11, 903, https://doi.org/10.3389/fenvs.2023.1121969, 2023.
Robertson, G. P., Vitousek, P. M., Matson, P. A., and Tiedje, J. M.: Denitrification in a clearcut Loblolly pine (Pinus taeda L.) plantation in the southeastern US, Plant Soil, 97, 119–129, https://doi.org/10.1007/BF02149830, 1987.
Ruosteenoja, K. and Räisänen, J.: Evolution of observed and modelled temperatures in Finland in 1901–2018 and potential dynamical reasons for the differences, Int. J. Climatol., 41, 3374–3390, 2021.
Saari, P., Saarnio, S., Kukkonen, J. V. K., Akkanen, J., Heinonen, J., Saari, V., and Alm, J.: DOC and N2O dynamics in upland and peatland forest soils after clear-cutting and soil preparation, Biogeochemistry, 94, 217–231, https://doi.org/10.1007/s10533-009-9320-1, 2009.
Sarkkola, S., Hökkä, H., Koivusalo, H., Nieminen, M., Ahti, E., Päivänen, J., and Laine, J.: Role of tree stand evapotranspiration in maintaining satisfactory drainage conditions in drained peatlands, Can. J. For. Res., 40, 1485–1496, https://doi.org/10.1139/X10-084, 2010.
Savage, K. E. and Davidson, E. A.: A comparison of manual and automated systems for soil CO2 flux measurements: trade-offs between spatial and temporal resolution, J. Exp. Bot., 54, 891–899, https://doi.org/10.1093/jxb/erg121, 2003.
Stagakis, S., Chrysoulakis, N., Spyridakis, N., Feigenwinter, C., and Vogt, R.: Eddy Covariance measurements and source partitioning of CO2 emissions in an urban environment: Application for Heraklion, Greece, Atmos. Environ., 201, 278–292, https://doi.org/10.1016/j.atmosenv.2019.01.009, 2019.
Statistics Finland: Greenhouse gas emissions in Finland 1990 to 2020, National Inventory Report under the UNFCCC and the Kyoto Protocol, Submission to the European Union, https://unfccc.int/documents/461893 (last access: 12 February 2025), 2022.
Strömgren, M., Hedwall, P.-O., and Olsson, B. A.: Effects of stump harvest and site preparation on N2O and CH4 emissions from boreal forest soils after clear-cutting, Forest Ecol. Manag., 371, 15–22, https://doi.org/10.1016/j.foreco.2016.03.019, 2016.
Strömgren, M., Mjöfors, K., and Olsson, B. A.: Soil-surface CO2 flux during the first 2 years after stump harvesting and site preparation in 14 Swedish forests, Scand. J. For. Res., 32, 213–221, https://doi.org/10.1080/02827581.2016.1221993, 2017.
Tian, H., Pan, N., Thompson, R. L., Canadell, J. G., Suntharalingam, P., Regnier, P., Davidson, E. A., Prather, M., Ciais, P., Muntean, M., Pan, S., Winiwarter, W., Zaehle, S., Zhou, F., Jackson, R. B., Bange, H. W., Berthet, S., Bian, Z., Bianchi, D., Bouwman, A. F., Buitenhuis, E. T., Dutton, G., Hu, M., Ito, A., Jain, A. K., Jeltsch-Thömmes, A., Joos, F., Kou-Giesbrecht, S., Krummel, P. B., Lan, X., Landolfi, A., Lauerwald, R., Li, Y., Lu, C., Maavara, T., Manizza, M., Millet, D. B., Mühle, J., Patra, P. K., Peters, G. P., Qin, X., Raymond, P., Resplandy, L., Rosentreter, J. A., Shi, H., Sun, Q., Tonina, D., Tubiello, F. N., van der Werf, G. R., Vuichard, N., Wang, J., Wells, K. C., Western, L. M., Wilson, C., Yang, J., Yao, Y., You, Y., and Zhu, Q.: Global nitrous oxide budget (1980–2020), Earth Syst. Sci. Data, 16, 2543–2604, https://doi.org/10.5194/essd-16-2543-2024, 2024.
Tikkasalo, O.-P., Leppä, K., Launiainen, S., Peltoniemi, M., Mäkipää, R., Rinne-Garmston, K. T., Sahlstedt, E., Young, G. H. F., Bokareva, A., Lohila, A., Korkiakoski, M., Schiestl-Aalto, P., and Lehtonen, A.: Modeling the response of Norway spruce tree-ring carbon and oxygen isotopes to selection harvest on a drained peatland forest, Tree Physiol., 44, tpad119, https://doi.org/10.1093/treephys/tpad119, 2024.
Tikkasalo, O.-P. and Peltola, O.: LukeEcomod/FI-Ran_GHG_2022: Data and analysis notebooks for “Eddy-covariance fluxes of CO2, CH4 and N2O in a drained peatland forest after clear-cutting” by Tikkasalo et al., 2025, Zenodo [data set], https://doi.org/10.5281/zenodo.14887721, 2025.
Tong, C. H. M., Nilsson, M. B., Sikström, U., Ring, E., Drott, A., Eklöf, K., Futter, M. N., Peacock, M., Segersten, J., and Peichl, M.: Initial effects of post-harvest ditch cleaning on greenhouse gas fluxes in a hemiboreal peatland forest, Geoderma, 426, 116055, https://doi.org/10.1016/j.geoderma.2022.116055, 2022.
Tuovinen, J.-P., Aurela, M., Hatakka, J., Räsänen, A., Virtanen, T., Mikola, J., Ivakhov, V., Kondratyev, V., and Laurila, T.: Interpreting eddy covariance data from heterogeneous Siberian tundra: land-cover-specific methane fluxes and spatial representativeness, Biogeosciences, 16, 255–274, https://doi.org/10.5194/bg-16-255-2019, 2019.
UNEP: Global Peatlands Assessment – The State of the World's Peatlands: Evidence for action toward the conservation, restoration, and sustainable management of peatlands, Main Report, United Nations Environment Programme, Nairobi, https://doi.org/10.59117/20.500.11822/41222, 2022.
Vehtari, A., Gelman, A., and Gabry, J.: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC, Stat. Comput., 27, 1413–1432, https://doi.org/10.1007/s11222-016-9696-4, 2017.
Vekuri, H., Tuovinen, J.-P., Kulmala, L., Papale, D., Kolari, P., Aurela, M., Laurila, T., Liski, J., and Lohila, A.: A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates, Sci. Rep., 13, 1720, https://doi.org/10.1038/s41598-023-28827-2, 2023.
Venäläinen, A. and Heikinheimo, M.: Meteorological data for agricultural applications, Physics and Chemistry of the Earth, Parts A/B/C, 27, 1045–1050, https://doi.org/10.1016/S1474-7065(02)00140-7, 2002.
Vesala, T., Kljun, N., Rannik, Ü., Rinne, J., Sogachev, A., Markkanen, T., Sabelfeld, K., Foken, Th., and Leclerc, M. Y.: Flux and concentration footprint modelling: State of the art, Environ. Pollut., 152, 653–666, https://doi.org/10.1016/j.envpol.2007.06.070, 2008.
Vestin, P., Mölder, M., Kljun, N., Cai, Z., Hasan, A., Holst, J., Klemedtsson, L., and Lindroth, A.: Impacts of Clear-Cutting of a Boreal Forest on Carbon Dioxide, Methane and Nitrous Oxide Fluxes, Forests, 11, 961, https://doi.org/10.3390/f11090961, 2020.
Vitale, D., Fratini, G., Bilancia, M., Nicolini, G., Sabbatini, S., and Papale, D.: A robust data cleaning procedure for eddy covariance flux measurements, Biogeosciences, 17, 1367–1391, https://doi.org/10.5194/bg-17-1367-2020, 2020.
Wu, X., Brüggemann, N., Gasche, R., Papen, H., Willibald, G., and Butterbach-Bahl, K.: Long-term effects of clear-cutting and selective cutting on soil methane fluxes in a temperate spruce forest in southern Germany, Environ. Pollut., 159, 2467–2475, https://doi.org/10.1016/j.envpol.2011.06.025, 2011.
Wutzler, T., Lucas-Moffat, A., Migliavacca, M., Knauer, J., Sickel, K., Šigut, L., Menzer, O., and Reichstein, M.: Basic and extensible post-processing of eddy covariance flux data with REddyProc, Biogeosciences, 15, 5015–5030, https://doi.org/10.5194/bg-15-5015-2018, 2018.
Zhou, R., Yang, C., Li, E., Cai, X., Yang, J., and Xia, Y.: Object-Based Wetland Vegetation Classification Using Multi-Feature Selection of Unoccupied Aerial Vehicle RGB Imagery, Remote Sens., 13, 4910, https://doi.org/10.3390/rs13234910, 2021.
Short summary
The emissions of greenhouse gases (GHGs) carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) were measured from a clear-cut peatland forest site. The measurements covered the whole year of 2022, which was the second growing season after the clear-cut. The site was a strong GHG source, and the highest emissions came from CO2, followed by N2O and CH4. A statistical model that included information on different surfaces at the site was developed to unravel surface-type-specific GHG fluxes.
The emissions of greenhouse gases (GHGs) carbon dioxide (CO2), methane (CH4) and nitrous oxide...
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