Articles | Volume 10, issue 1
https://doi.org/10.5194/soil-10-381-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-10-381-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Original research article
| 
12 Jun 2024
Original research article |
| 12 Jun 2024
| 12 Jun 2024
Soil respiration across a variety of tree-covered urban green spaces in Helsinki, Finland
Climate System Research, Finnish Meteorological Institute, Helsinki, Finland
Leif Backman
Climate System Research, Finnish Meteorological Institute, Helsinki, Finland
Leena Järvi
Institute for Atmospheric and Earth System Research (INAR), Physics, University of Helsinki, Helsinki, Finland
Helsinki Institute of Sustainability Science (HELSUS), Faculty of Science, University of Helsinki, Helsinki, Finland
Liisa Kulmala
Climate System Research, Finnish Meteorological Institute, Helsinki, Finland
Institute for Atmospheric and Earth System Research (INAR), Forest Sciences, University of Helsinki, Helsinki, Finland
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Revised manuscript not accepted
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Cited articles
Ahongshangbam, J., Kulmala, L., Soininen, J., Frühauf, Y., Karvinen, E., Salmon, Y., Lintunen, A., Karvonen, A., and Järvi, L.: Sap flow and leaf gas exchange response to a drought and heatwave in urban green spaces in a Nordic city, Biogeosciences, 20, 4455–4475, https://doi.org/10.5194/bg-20-4455-2023, 2023. a, b, c
Arias, P., Bellouin, N., Coppola, E., Jones, R., Krinner, G., Marotzke, J., Naik, V., Palmer, M., Plattner, G.-K., Rogelj, J., Rojas, M., Sillmann, J., Storelvmo, T., Thorne, P., Trewin, B., Rao, K. A., Adhikary, B., Allan, R., Armour, K., Bala, G., Barimalala, R., Berger, S., Canadell, J., Cassou, C., Cherchi, A., Collins, W., Collins, W., Connors, S., Corti, S., Cruz, F., Dentener, F., Dereczynski, C., Luca, A. D., Niang, A. D., Doblas-Reyes, F., Dosio, A., Douville, H., Engelbrecht, F., Eyring, V., Fischer, E., Forster, P., Fox-Kemper, B., Fuglestvedt, J., Fyfe, J., Gillett, N., Goldfarb, L., Gorodetskaya, I., Gutierrez, J., Hamdi, R., Hawkins, E., Hewitt, H., Hope, P., Islam, A., Jones, C., Kaufman, D., Kopp, R., Kosaka, Y., Kossin, J., Krakovska, S., Lee, J.-Y., Li, J., Mauritsen, T., Maycock, T., Meinshausen, M., Min, S.-K., Monteiro, P., Ngo-Duc, T., Otto, F., Pinto, I., Pirani, A., Raghavan, K., Ranasinghe, R., Ruane, A., Ruiz, L., Sallée, J.-B., Samset, B., Sathyendranath, S., Seneviratne, S., Sörensson, A., Szopa, S., Takayabu, I., Tréguier, A.-M., van den Hurk, B., Vautard, R., von Schuckmann, K., Zaehle, S., Zhang, X., and Zickfeld, K.: Technical Summary, in: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J., Maycock, T., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, https://doi.org/10.1017/9781009157896.002, 2021. a
Arneth, A., Sitch, S., Pongratz, J., Stocker, B. D., Ciais, P., Poulter, B., Bayer, A. D., Bondeau, A., Calle, L., Chini, L. P., Gasser, T., Fader, M., Friedlingstein, P., Kato, E., Li, W., Lindeskog, M., Nabel, J. E. M. S., Pugh, T. A. M., Robertson, E., Viovy, N., Yue, C., and Zaehle, S.: Historical carbon dioxide emissions caused by land-use changes are possibly larger than assumed, Nat. Geosci., 10, 79–84, https://doi.org/10.1038/ngeo2882, 2017. a
Bae, J. and Ryu, Y.: Land use and land cover changes explain spatial and temporal variations of the soil organic carbon stocks in a constructed urban park, Landscape Urban Plan., 136, 57–67, https://doi.org/10.1016/j.landurbplan.2014.11.015, 2015. a
Bali, M. and Collins, D.: Contribution of phenology and soil moisture to atmospheric variability in ECHAM5/JSBACH model, Clim. Dynam., 45, 2329–2336, https://doi.org/10.1007/s00382-015-2473-9, 2015. a
Bartoń, K.: MuMIn: Multi-Model Inference, https://cran.r-project.org/package=MuMIn (last access: 30 March 2023), 2023. a
Basile-Doelsch, I., Balesdent, J., and Pellerin, S.: Reviews and syntheses: The mechanisms underlying carbon storage in soil, Biogeosciences, 17, 5223–5242, https://doi.org/10.5194/bg-17-5223-2020, 2020. a
Bates, D., Mächler, M., Bolker, B., and Walker, S.: Fitting Linear Mixed-Effects Models Using lme4, J. Stat. Softw., 67, 1–48, https://doi.org/10.18637/jss.v067.i01, 2015. a
Beesley, L.: Respiration (CO2 flux) from urban and peri-urban soils amended with green waste compost, Geoderma, 223-225, 68–72, https://doi.org/10.1016/j.geoderma.2014.01.024, 2014. a
Benjamini, Y. and Hochberg, Y.: Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing, J. Roy. Stat. Soc. B, 57, 289–300, https://doi.org/10.1111/j.2517-6161.1995.tb02031.x, 1995. a
Birch, H. F.: The effect of soil drying on humus decomposition and nitrogen availability, Plant Soil, 10, 9–31, https://doi.org/10.1007/bf01343734, 1958.
Bond-Lamberty, B. and Thomson, A.: Temperature-associated increases in the global soil respiration record, Nature, 464, 579–582, https://doi.org/10.1038/nature08930, 2010. a, b
Böttcher, K., Markkanen, T., Thum, T., Aalto, T., Aurela, M., Reick, C., Kolari, P., Arslan, A., and Pulliainen, J.: Evaluating Biosphere Model Estimates of the Start of the Vegetation Active Season in Boreal Forests by Satellite Observations, Remote Sens.-Basel, 8, 580, https://doi.org/10.3390/rs8070580, 2016. a
Cambou, A., Saby, N., Hunault, G., Nold, F., Cannavo, P., Schwartz, C., and Vidal-Beaudet, L.: Impact of city historical management on soil organic carbon stocks in Paris (France), J. Soils Sediment., 21, 1038–1052, https://doi.org/10.1007/s11368-020-02869-9, 2021. a
Canadell, J., Ciais, P., Dhakal, S., Le Quéré, C., Patwardhan, A., and Raupach, M.: The human perturbation of the carbon cycle: the global carbon cycle II, https://unesdoc.unesco.org/ark:/48223/pf0000186137 (last access: 27 February 2023), 2009. a
Cheung, P. K., Livesley, S. J., and Nice, K. A.: Estimating the cooling potential of irrigating green spaces in 100 global cities with arid, temperate or continental climates, Sustain. Cities Soc., 71, 102974, https://doi.org/10.1016/j.scs.2021.102974, 2021. a
Cheung, P. K., Jim, C., Tapper, N., Nice, K. A., and Livesley, S. J.: Daytime irrigation leads to significantly cooler private backyards in summer, Urban Climate, 46, 101310, https://doi.org/10.1016/j.uclim.2022.101310, 2022a. a
Cheung, P. K., Nice, K. A., and Livesley, S. J.: Irrigating urban green space for cooling benefits: the mechanisms and management considerations, Environmental Research: Climate, 1, 015001, https://doi.org/10.1088/2752-5295/ac6e7c, 2022b. a
Crow, P.: The influence of soils and species on tree root depth. Information Note., https://www.forestresearch.gov.uk/publications/archive-the-influence-of-soils-and-species-on-tree-root-depth/ (last access: 29 February 2024), 2005. a
Dantas, D., de Castro Nunes Santos Terra, M., Pinto, L. O. R., Calegario, N., and Maciel, S. M.: Above and belowground carbon stock in a tropical forest in Brazil, Acta Sci.-Agron., 43, e48276, https://doi.org/10.4025/actasciagron.v43i1.48276, 2020. a
Das, M. B.: Demographic Trends and Cities:F raming the Report, in: Demographic Trends and Urbanization, edited by: Baeumler, A., D'Aoust, O., Das, M. B., Gapihan, A., Goga, S., Lakovits, C., Restrepo Cavadid, P., Singh, G., and Terraza, H., World Bank, Washington DC, Washington, USA, https://documents.worldbank.org/en/publication/documents-reports/documentdetail/260581617988607640/demographic-trends-and-urbanization (last access: 6 June 2024), 2021. a
Davidson, E. A. and Janssens, I. A.: Temperature sensitivity of soil carbon decomposition and feedbacks to climate change, Nature, 440, 165–173, https://doi.org/10.1038/nature04514, 2006. a, b, c
Decina, S. M., Hutyra, L. R., Gately, C. K., Getson, J. M., Reinmann, A. B., Gianotti, A. G. S., and Templer, P. H.: Soil respiration contributes substantially to urban carbon fluxes in the greater Boston area, Environ. Pollut., 212, 433–439, https://doi.org/10.1016/j.envpol.2016.01.012, 2016. a, b, c, d
Delta-T Devices Ltd.: User Manual for the Profile Probe, https://delta-t.co.uk/wp-content/uploads/2017/02/PR2_user_manual_version_5.0.pdf (last access: 29 November 2021), 2016. a
Drebs, A. J.: Helsinki urban heat island as temporal and spatial phenomena (Helsingin lämpösaareke ajallisena ja paikallisena ilmiönä), Master's thesis, University of Helsinki, Helsinki, Finland, http://hdl.handle.net/10138/29123 (last access: 12 December 2023), 2011. a
Edmondson, J. L., O'Sullivan, O. S., Inger, R., Potter, J., McHugh, N., Gaston, K. J., and Leake, J. R.: Urban Tree Effects on Soil Organic Carbon, PLOS One, 9, 1–5, https://doi.org/10.1371/journal.pone.0101872, 2014. a, b
Edmondson, J. L., Stott, I., Davies, Z. G., Gaston, K. J., and Leake, J. R.: Soil surface temperatures reveal moderation of the urban heat island effect by trees and shrubs, Sci. Rep.-UK, 6, 33708, https://doi.org/10.1038/srep33708, 2016. a
Ekici, A., Beer, C., Hagemann, S., Boike, J., Langer, M., and Hauck, C.: Simulating high-latitude permafrost regions by the JSBACH terrestrial ecosystem model, Geosci. Model Dev., 7, 631–647, https://doi.org/10.5194/gmd-7-631-2014, 2014. a
Elonen, P.: Particle-size analysis of soil, PhD thesis, Acta Agralia Fennica, 122, 122 pp., The Scientific Agricultural Society of Finland, University of Helsinki, 1971. a
Eswaran, H., Berg, E. V. D., and Reich, P.: Organic Carbon in Soils of the World, Soil Sci. Soc. Am. J., 57, 192–194, https://doi.org/10.2136/sssaj1993.03615995005700010034x, 1993. a
European Commission: Commission announces 100 cities participating in EU Mission for climate-neutral and smart cities by 2030, https://ec.europa.eu/commission/presscorner/detail/en/IP_22_2591 (last access: 26 September 2023), 2022. a
Faivre, N., Fritz, M., Freitas, T., de Boissezon, B., and Vandewoestijne, S.: Nature-Based Solutions in the EU: Innovating with nature to address social, economic and environmental challenges, Environ. Res., 159, 509–518, https://doi.org/10.1016/j.envres.2017.08.032, 2017. a
Finnish Meteorological Institute: Vuositilastot, https://www.ilmatieteenlaitos.fi/vuositilastot (last access: 18 January 2022), 2022. a
Foldal, C. B., Leitgeb, E., and Michel, K.: Characteristics and Functions of Urban Soils, in: Soils in Urban Ecosystem, edited by: Rakshit, A., Ghosh, S., Vasenev, V., Pathak, H., and Rajput, V. D., Springer, Singapore, https://doi.org/10.1007/978-981-16-8914-7_3, 2022. a
Frouz, J., Pižl, V., Cienciala, E., and Kalčík, J.: Carbon storage in post-mining forest soil, the role of tree biomass and soil bioturbation, Biogeochemistry, 94, 111–121, https://doi.org/10.1007/s10533-009-9313-0, 2009. a
GADM: GADM maps and data. Ver 4.1., https://gadm.org/index.html (last access: 24 February 2023), 2023. a
Garvey, S. M., Templer, P. H., Pierce, E. A., Reinmann, A. B., and Hutyra, L. R.: Diverging patterns at the forest edge: Soil respiration dynamics of fragmented forests in urban and rural areas, Glob. Change Biol., 28, 3094–3109, https://doi.org/10.1111/gcb.16099, 2022. a, b
Giorgetta, M. A., Jungclaus, J., Reick, C. H., Legutke, S., Bader, J., Böttinger, M., Brovkin, V., Crueger, T., Esch, M., Fieg, K., Glushak, K., Gayler, V., Haak, H., Hollweg, H., Ilyina, T., Kinne, S., Kornblueh, L., Matei, D., Mauritsen, T., Mikolajewicz, U., Mueller, W., Notz, D., Pithan, F., Raddatz, T., Rast, S., Redler, R., Roeckner, E., Schmidt, H., Schnur, R., Segschneider, J., Six, K. D., Stockhause, M., Timmreck, C., Wegner, J., Widmann, H., Wieners, K., Claussen, M., Marotzke, J., and Stevens, B.: Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the Coupled Model Intercomparison Project phase 5, J. Adv. Modeli. Earth Sy., 5, 572–597, https://doi.org/10.1002/jame.20038, 2013. a
Golubiewski, N. E.: Urbanization increases grassland carbon pools: Effects of landscaping in Colorado's front range, Ecol. Appl., 16, 555–571, https://doi.org/10.1890/1051-0761(2006)016[0555:UIGCPE]2.0.CO;2, 2006. a
Goncharova, O. Y., Matyshak, G. V., Udovenko, M. M., Bobrik, A. A., and Semenyuk, O. V.: Seasonal and Annual Variations in Soil Respiration of the Artificial Landscapes (Moscow Botanical Garden), in: Urbanization: Challenge and Opportunity for Soil Functions and Ecosystem Services. Proceedings of the 9th SUITMA Congress, edited by: Vasenev, V., Dovletyarova, E., Cheng, Z., Prokof'eva, T. V., Morel, J. L., and Ananyeva, N. D., 21–26 May 2017, Moscow, Russia, 112–122, Springer International Publishing, https://doi.org/10.1007/978-3-319-89602-1_15, 2018. a, b, c
Graves, S., Piepho, H.-P., Selzer, L., and Dorai-Raj, S.: multcompView: Visualizations of Paired Comparisons, https://cran.r-project.org/package=multcompView (last access: 30 March 2023), 2019. a
Hagemann, S. and Stacke, T.: Impact of the soil hydrology scheme on simulated soil moisture memory, Clim. Dynam., 44, 1731–1750, https://doi.org/10.1007/s00382-014-2221-6, 2014. a
Hanson, P., Edwards, N., Garten, C., and Andrews, J.: Separating root and soil microbial contributions to soil respiration: A review of methods and observations, Biogeochemistry, 48, 115–146, https://doi.org/10.1023/a:1006244819642, 2000. a, b
Havu, M., Kulmala, L., Kolari, P., Vesala, T., Riikonen, A., and Järvi, L.: Carbon sequestration potential of street tree plantings in Helsinki, Biogeosciences, 19, 2121–2143, https://doi.org/10.5194/bg-19-2121-2022, 2022. a
Heikkinen, J., Ketoja, E., Nuutinen, V., and Regina, K.: Declining trend of carbon in Finnish cropland soils in 1974–2009, Glob. Change Biol., 19, 1456–1469, https://doi.org/10.1111/gcb.12137, 2013. a
Heimsch, L., Lohila, A., Tuovinen, J.-P., Vekuri, H., Heinonsalo, J., Nevalainen, O., Korkiakoski, M., Liski, J., Laurila, T., and Kulmala, L.: Carbon dioxide fluxes and carbon balance of an agricultural grassland in southern Finland, Biogeosciences, 18, 3467–3483, https://doi.org/10.5194/bg-18-3467-2021, 2021. a
Hollander, M. and Wolfe, D. A.: Nonparametric Statistical Methods, John Wiley & Sons, ISBN-10 047140635X, 1973. a
Hopkins, F., Gonzalez‐Meler, M. A., Flower, C. E., Lynch, D. J., Czimczik, C., Tang, J., and Subke, J.: Ecosystem‐level controls on root‐rhizosphere respiration, New Phytol., 199, 339–351, https://doi.org/10.1111/nph.12271, 2013. a
Ignatieva, M., Haase, D., Dushkova, D., and Haase, A.: Lawns in Cities: From a Globalised Urban Green Space Phenomenon to Sustainable Nature-Based Solutions, Land, 9, 73, https://doi.org/10.3390/land9030073, 2020. a
Järvi, L., Hannuniemi, H., Hussein, T., Junninen, H., Aalto, P. P., Hillamo, R., Mäkelä, T., Keronen, P., Siivola, E., Vesala, T., and Kulmala, M.: The urban measurement station SMEAR III: Continuous monitoring of air pollution and surface-atmosphere interactions in Helsinki, Finland, Boreal Environment Research, 86–109, http://hdl.handle.net/10138/233627 (last access: 1 November 2023), 2009. a
Jarvis, P., Rey, A., Petsikos, C., Wingate, L., Rayment, M., Pereira, J., Banza, J., David, J., Miglietta, F., Borghetti, M., Manca, G., and Valentini, R.: Drying and wetting of Mediterranean soils stimulates decomposition and carbon dioxide emission: the “Birch effect”, Tree Physiol., 27, 929–940, https://doi.org/10.1093/treephys/27.7.929, 2007.
Johnson, S., Ross, Z., Kheirbek, I., and Ito, K.: Characterization of intra-urban spatial variation in observed summer ambient temperature from the New York City Community Air Survey, Urban Climate, 31, 100583, https://doi.org/10.1016/j.uclim.2020.100583, 2020. a
Karvinen, E.: Soil respiration, soil carbon, soil temperature, and soil moisture measured in urban green spaces in Helsinki during 2020–2022, Finnish Meteorological Institute [data set], https://doi.org/10.57707/fmi-b2share.f7ba414bfd3642168ac38a95835b06bc, 2023. a
Kaye, J. P., McCulley, R. L., and Burke, I. C.: Carbon fluxes, nitrogen cycling, and soil microbial communities in adjacent urban, native and agricultural ecosystems, Glob. Change Biol., 11, 575–587, https://doi.org/10.1111/j.1365-2486.2005.00921.x, 2005. a
Kaye, J. P., Groffman, P. M., Grimm, N. B., Baker, L. A., and Pouyat, R. V.: A distinct urban biogeochemistry?, Trends Ecol. Evol., 21, 192–199, https://doi.org/10.1016/j.tree.2005.12.006, 2006. a
Koizumi, H., Kontturi, M., Mariko, S., Nakadai, T., Bekku, Y., and Mela, T.: Soil Respiration in Three Soil Types in Agricultural Ecosystems in Finland, Acta Agr. Scand. B-S. P., 49, 65–74, https://doi.org/10.1080/09064719950135560, 1999. a
Kpemoua, T. P., Barré, P., Houot, S., and Chenu, C.: Accurate evaluation of the Birch effect requires continuous CO2 measurements and relevant controls, Soil Biol. Biochem., 180, 109007, https://doi.org/10.1016/j.soilbio.2023.109007, 2023. a
Kulmala, L., Pumpanen, J., Kolari, P., Dengel, S., Berninger, F., Köster, K., Matkala, L., Vanhatalo, A., Vesala, T., and Bäck, J.: Inter- and intra-annual dynamics of photosynthesis differ between forest floor vegetation and tree canopy in a subarctic Scots pine stand, Agr. Forest Meteorol., 271, 1–11, https://doi.org/10.1016/j.agrformet.2019.02.029, 2019. a
Lal, R.: Soil carbon sequestration impacts on global climate change and food security, Science, 304, 1623–1627, https://doi.org/10.1126/science.1097396, 2004. a
Lal, R. and Augustin, B.: Carbon Sequestration in Urban Ecosystems, Springer Dordrecht, Netherlands, ISBN 978-94-007-2366-5, https://doi.org/10.1007/978-94-007-2366-5, 2012. a, b
Lal, R. and Stewart, B. A.: Urban soils, Taylor and Francis, Boca Raton, Florida, USA, ISBN 9781032096216, https://doi.org/10.1201/9781315154251, 2018. a
Lan, Y. and Zhan, Q.: How do urban buildings impact summer air temperature? The effects of building configurations in space and time, Build. Environ., 125, 88–98, https://doi.org/10.1016/j.buildenv.2017.08.046, 2017. a
Lasslop, G., Moeller, T., D'Onofrio, D., Hantson, S., and Kloster, S.: Tropical climate–vegetation–fire relationships: multivariate evaluation of the land surface model JSBACH, Biogeosciences, 15, 5969–5989, https://doi.org/10.5194/bg-15-5969-2018, 2018. a
Lei, J., Guo, X., Zeng, Y., Zhou, J., Gao, Q., and Yang, Y.: Temporal changes in global soil respiration since 1987, Nat. Commun., 12, 403, https://doi.org/10.1038/s41467-020-20616-z, 2021. a
Lenth, R. V., Bolker, B., Buerkner, P., Giné-Vázquez, I., Herve, M., Jung, M., Love, J., Miguez, F., Riebl, H., and Singmann, H.: emmeans: Estimated Marginal Means, aka Least-Squares Means, https://cran.r-project.org/package=emmeans (last access: 30 March 2023), 2023. a
Lindroos, A.-J., Mäkipää, R., and Merilä, P.: Soil carbon stock changes over 21 years in intensively monitored boreal forest stands in Finland, Ecol. Indic., 144, 109551, https://doi.org/10.1016/j.ecolind.2022.109551, 2022. a
Liu, Y.-R., Delgado-Baquerizo, M., Wang, J.-T., Hu, H.-W., Yang, Z., and He, J.-Z.: New insights into the role of microbial community composition in driving soil respiration rates, Soil Biol. Biochem., 118, 35–41, https://doi.org/10.1016/j.soilbio.2017.12.003, 2018. a
Mäki, M., Ryhti, K., Fer, I., Ťupek, B., Vestin, P., Roland, M., Lehner, I., Köster, E., Lehtonen, A., Bäck, J., Heinonsalo, J., Pumpanen, J., and Kulmala, L.: Heterotrophic and rhizospheric respiration in coniferous forest soils along a latitudinal gradient, Agr. Forest Meteorol., 317, 108876, https://doi.org/10.1016/j.agrformet.2022.108876, 2022. a
Martin, J. G. and Bolstad, P. V.: Variation of soil respiration at three spatial scales: Components within measurements, intra-site variation and patterns on the landscape, Soil Biol. Biochem., 41, 530–543, https://doi.org/10.1016/j.soilbio.2008.12.012, 2009. a
Minkkinen, K., Laine, J., Shurpali, N. J., Mäkiranta, P., Alm, J., and Penttilä, T.: Heterotrophic soil respiration in forestry-drained peatlands, Boreal Environ. Res., 12, 115–126, https://jukuri.luke.fi/bitstream/handle/10024/513693/Minkki.pdf?sequence=1 (last access: 12 December 2023), 2007. a
Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodríguez-Fernández, N. J., Zsoter, E., Buontempo, C., and Thépaut, J.-N.: ERA5-Land: a state-of-the-art global reanalysis dataset for land applications, Earth Syst. Sci. Data, 13, 4349–4383, https://doi.org/10.5194/essd-13-4349-2021, 2021. a
National Land Survey of Finland: NLS orthophotos, https://www.maanmittauslaitos.fi/en/maps-and-spatial-data/expert-users/product-descriptions/orthophotos (last access: 6 March 2023), 2020. a
National Land Survey of Finland: Topographic Database, https://www.maanmittauslaitos.fi/en/maps-and-spatial-data/expert-users/product-descriptions/topographic-database (last access: 20 February 2023), 2023. a
Nevalainen, O.: satellitetools, https://github.com/ollinevalainen/satellitetools (last access: 1 December 2023), 2022. a
Nevalainen, O., Niemitalo, O., Fer, I., Juntunen, A., Mattila, T., Koskela, O., Kukkamäki, J., Höckerstedt, L., Mäkelä, L., Jarva, P., Heimsch, L., Vekuri, H., Kulmala, L., Stam, Å., Kuusela, O., Gerin, S., Viskari, T., Vira, J., Hyväluoma, J., Tuovinen, J.-P., Lohila, A., Laurila, T., Heinonsalo, J., Aalto, T., Kunttu, I., and Liski, J.: Towards agricultural soil carbon monitoring, reporting, and verification through the Field Observatory Network (FiON), Geosci. Instrum. Method. Data Syst., 11, 93–109, https://doi.org/10.5194/gi-11-93-2022, 2022. a
Oke, T. R.: The energetic basis of the urban heat island, Q. J. Roy. Meteor. Soc., 108, 1–24, https://doi.org/10.1002/qj.49710845502, 1982. a
Olsson, A., Campana, P. E., Lind, M., and Yan, J.: Potential for carbon sequestration and mitigation of climate change by irrigation of grasslands, Appl. Energ., 136, 1145–1154, https://doi.org/10.1016/j.apenergy.2014.08.025, 2014. a
Pan, L., Zhao, Y., and Zhu, T.: Estimating Urban Green Space Irrigation for 286 Cities in China: Implications for Urban Land Use and Water Management, Sustainability, 15, 8379, https://doi.org/10.3390/su15108379, 2023. a
Pataki, D. E., Alig, R., Fung, A., Golubiewski, N., Kennedy, C., McPherson, E., Nowak, D., Pouyat, R., and Romero Lankao, P.: Urban ecosystems and the North American carbon cycle, Glob. Change Biol., 12, 2092–2102, https://doi.org/10.1111/j.1365-2486.2006.01242.x, 2006. a, b, c
Pinno, B. D. and Wilson, S. D.: Ecosystem carbon changes with woody encroachment of grassland in the northern Great Plains, Écoscience, 18, 157–163, https://doi.org/10.2980/18-2-3412, 2011. a
Pouyat, R. V., Yesilonis, I. D., and Golubiewski, N. E.: A comparison of soil organic carbon stocks between residential turf grass and native soil, Urban Ecosyst., 12, 45–62, https://doi.org/10.1007/s11252-008-0059-6, 2009. a
Pumpanen, J., Kulmala, L., Lindén, A., Kolari, P., Nikinmaa, E., and Hari, P.: Seasonal dynamics of autotrophic respiration in boreal forest soil estimated by continuous chamber measurements, Boreal Environ. Res., 20, 637–650, http://hdl.handle.net/10138/228300 (last access: 12 December 2023), 2015. a
R Core Team: The R Project for Statistical Computing, https://www.r-project.org/ (last access: 30 March 2023), 2023. a
Reick, C. H., Raddatz, T., Brovkin, V., and Gayler, V.: Representation of natural and anthropogenic land cover change in MPI-ESM, J. Adv. Model. Earth Sy., 5, 459–482, https://doi.org/10.1002/jame.20022, 2013. a
Reick, C. H., Gayler, V., Goll, D., Hagemann, S., Heidkamp, M., Nabel, J. E. M. S., Raddatz, T., Roeckner, E., Schnur, R., and Wilkenskjeld, S.: JSBACH 3 – The land component of the MPI Earth System Model: documentation of version 3.2, Reports on Earth System Science, Max Planck Institute for Meteorology, Hamburg, 240, https://doi.org/10.17617/2.3279802, 2021. a
Riikonen, A., Mäki, M., and Nikinmaa, E.: Havaintoja katupuiden kasvualustojen hiilivarastosta, in: Pro Terra: VII Maaperätieteiden päivien abstraktit, edited by: Leppälammi-Kujansuu, J., Merilä, P., Rankinen, K., Salo, T., Soinne, H., and Hänninen, P., Finnish Society of Soil Sciences, Helsinki, Finland, https://www.maapera.fi/sites/maapera.fi/files/Pro_Terra_61_2013_0.pdf (last access: 14 September 2023), 2013. a
Riikonen, A., Pumpanen, J., Mäki, M., and Nikinmaa, E.: High carbon losses from established growing sites delay the carbon sequestration benefits of street tree plantings – A case study in Helsinki, Finland, Urban Forest. Urban Green., 26, 85–94, https://doi.org/10.1016/j.ufug.2017.04.004, 2017. a
Rizwan, A. M., Dennis, L. Y., and Liu, C.: A review on the generation, determination and mitigation of Urban Heat Island, J. Environ. Sci., 20, 120–128, https://doi.org/10.1016/S1001-0742(08)60019-4, 2008. a
Ryan, M. G. and Law, B. E.: Interpreting, measuring, and modeling soil respiration, Biogeochemistry, 73, 3–27, https://doi.org/10.1007/s10533-004-5167-7, 2005. a
Ryhti, K., Schiestl-Aalto, P., Tang, Y., Rinne-Garmston, K. T., Ding, Y., Pumpanen, J., Biasi, C., Saurer, M., Bäck, J., and Kulmala, L.: Effects of variable temperature and moisture conditions on respiration and nonstructural carbohydrate dynamics of tree roots, Agr. Forest Meteorol., 323, 109040, https://doi.org/10.1016/j.agrformet.2022.109040, 2022. a, b, c
Sæbø, A., Benedikz, T., and Randrup, T. B.: Selection of trees for urban forestry in the Nordic countries, Urban Forest. Urban Green., 2, 101–114, https://doi.org/10.1078/1618-8667-00027, 2003. a
Scharlemann, J. P., Tanner, E. V., Hiederer, R., and Kapos, V.: Global soil carbon: understanding and managing the largest terrestrial carbon pool, Carbon Manag., 5, 81–91, https://doi.org/10.4155/cmt.13.77, 2014. a, b
Setälä, H. M., Francini, G., Allen, J. A., Hui, N., Jumpponen, A., and Kotze, D. J.: Vegetation type and age drive changes in soil properties, nitrogen, and carbon sequestration in urban parks under cold climate, Frontiers in Ecology and Evolution, 4, 93, https://doi.org/10.3389/fevo.2016.00093, 2016. a, b, c
Shchepeleva, A. S., Vasenev, V. I., Mazirov, I. M., Vasenev, I. I., Prokhorov, I. S., and Gosse, D. D.: Changes of soil organic carbon stocks and CO2 emissions at the early stages of urban turf grasses' development, Urban Ecosystems, 20, 309–321, https://doi.org/10.1007/s11252-016-0594-5, 2017. a
Smith, I. A., Hutyra, L. R., Reinmann, A. B., Thompson, J. R., and Allen, D. W.: Evidence for Edge Enhancements of Soil Respiration in Temperate Forests, Geophys. Res. Lett., 46, 4278–4287, https://doi.org/10.1029/2019gl082459, 2019. a
Smith, N. G. and Dukes, J. S.: Plant respiration and photosynthesis in global-scale models: incorporating acclimation to temperature and CO2, Glob. Change Biol., 19, 45–63, https://doi.org/10.1111/j.1365-2486.2012.02797.x, 2012. a
Soe, A. R. B. and Buchmann, N.: Spatial and temporal variations in soil respiration in relation to stand structure and soil parameters in an unmanaged beech forest, Tree Physiol., 25, 1427–1436, https://doi.org/10.1093/treephys/25.11.1427, 2005. a
Tian, F., Cao, X., Dallmeyer, A., Ni, J., Zhao, Y., Wang, Y., and Herzschuh, U.: Quantitative woody cover reconstructions from eastern continental Asia of the last 22 kyr reveal strong regional peculiarities, Quaternary Sci. Rev., 137, 33–44, https://doi.org/10.1016/j.quascirev.2016.02.001, 2016. a
Trémeau, J., Olascoaga, B., Backman, L., Karvinen, E., Vekuri, H., and Kulmala, L.: Lawns and meadows in urban green space – a comparison from perspectives of greenhouse gases, drought resilience and plant functional types, Biogeosciences, 21, 949–972, https://doi.org/10.5194/bg-21-949-2024, 2024. a, b
Tuomi, M., Thum, T., Järvinen, H., Fronzek, S., Berg, B., Harmon, M., Trofymow, J., Sevanto, S., and Liski, J.: Leaf litter decomposition–Estimates of global variability based on Yasso07 model, Ecol. Model., 220, 3362–3371, https://doi.org/10.1016/j.ecolmodel.2009.05.016, 2009. a, b
Tuomi, M., Laiho, R., Repo, A., and Liski, J.: Wood decomposition model for boreal forests, Ecol. Model., 222, 709–718, https://doi.org/10.1016/j.ecolmodel.2010.10.025, 2011. a, b
Unger, S., Máguas, C., Pereira, J. S., David, T. S., and Werner, C.: The influence of precipitation pulses on soil respiration – Assessing the “Birch effect” by stable carbon isotopes, Soil Biol. Biochem., 42, 1800–1810, https://doi.org/10.1016/j.soilbio.2010.06.019, 2010. a
Vaisala: User's Guide. Vaisala CARBOCAP Carbon Dioxide Probe GMP343, https://www.iag.co.at/fileadmin/user_upload/product_documents/GMP343UserGuide.en_02.pdf (last access: 1 December 2022), 2007. a
van Hees, P. A., Jones, D. L., Finlay, R., Godbold, D. L., and Lundström, U. S.: The carbon we do not see–the impact of low molecular weight compounds on carbon dynamics and respiration in forest soils: a review, Soil Biol. Biochem., 37, 1–13, https://doi.org/10.1016/j.soilbio.2004.06.010, 2005. a
Velasco, E. and Roth, M.: Cities as net sources of CO2: Review of atmospheric CO2 exchange in urban environments measured by eddy covariance technique, Geography Compass, 4, 1238–1259, https://doi.org/10.1111/j.1749-8198.2010.00384.x, 2010. a
Wang, L., Jiao, W., MacBean, N., Rulli, M. C., Manzoni, S., Vico, G., and D'Odorico, P.: Dryland productivity under a changing climate, Nat. Clim. Change, 12, 981–994, https://doi.org/10.1038/s41558-022-01499-y, 2022. a
Weissert, L., Salmond, J., and Schwendenmann, L.: Variability of soil organic carbon stocks and soil CO2 efflux across urban land use and soil cover types, Geoderma, 271, 80–90, https://doi.org/10.1016/j.geoderma.2016.02.014, 2016. a
Wu, L., Wood, Y., Jiang, P., Li, L., Pan, G., Lu, J., Chang, A. C., and Enloe, H. A.: Carbon Sequestration and Dynamics of Two Irrigated Agricultural Soils in California, Soil Sci. Soc. Am. J., 72, 808–814, https://doi.org/10.2136/sssaj2007.0074, 2008. a
Wu, X., Hu, D., Ma, S., Zhang, X., Guo, Z., and Gaston, K. J.: Elevated soil CO2 efflux at the boundaries between impervious surfaces and urban greenspaces, Atmos. Environ., 141, 375–378, https://doi.org/10.1016/j.atmosenv.2016.06.050, 2016. a, b
Yan, H., Fan, S., Guo, C., Hu, J., and Dong, L.: Quantifying the Impact of Land Cover Composition on Intra-Urban Air Temperature Variations at a Mid-Latitude City, PLoS ONE, 9, e102124, https://doi.org/10.1371/journal.pone.0102124, 2014. a
Yesilonis, I. D. and Pouyat, R. V.: Chapter 5: Carbon stocks in urban forest remnants: Atlanta and Baltimore as case studies, in: Carbon sequestration in urban ecosystems, edited by: Lal, R. and Augustin, B., Springer Dordrecht, Netherlands, https://www.nrs.fs.usda.gov/pubs/jrnl/2012/nrs_2012_yesilonis_001.pdf (last access: 9 November 2023), 2012. a
Short summary
We measured and modelled soil respiration, a key part of the biogenic carbon cycle, in different urban green space types to assess its dynamics in urban areas. We discovered surprisingly similar soil respiration across the green space types despite differences in some of its drivers and that irrigation of green spaces notably elevates soil respiration. Our results encourage further research on the topic and especially on the role of irrigation in controlling urban soil respiration.
We measured and modelled soil respiration, a key part of the biogenic carbon cycle, in different...
