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Journal Articles


Menard et al. (2015) Effects of meteorological and ancillary data, temporal averaging and evaluation methods on model performance and uncertainty in a land surface model, Journal of Hydrometeorology, e-View, doi: 10.1175/JHM-D-15-0013.1.
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Holmberg, M., Akujärvi, A., Anttila, S., Arvola, L., Bergström, I., Böttcher, K., Feng, X., Forsius, M., Huttunen, I., Huttunen, M., Laine, Y., Lehtonen, H., Liski, J., Mononen, L., Rankinen, K., Repo, A., Piirainen, V., Vanhala, P., Vihervaara, P. 2015. ESLab application to a boreal watershed in southern Finland - preparing for a virtual research environment of ecosystem services. Landscape Ecology 30: 561-577 doi:10.1007/s10980-014-0122-z.
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Akujärvi, Anu, Aleksi Lehtonen, and Jari Liski. 2016. Ecosystem services of boreal forests-Carbon budget mapping at high resolution. Journal of Environmental Management 181: 498-514.
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Forsius, M., Akujärvi, A., Mattsson, T., Holmberg, M., Punttila, P., Posch, M., Liski, J., Repo, A., Virkkala, R. Vihervaara, P. 2016. Modelling impacts of forest bioenergy use on ecosystem sustainability: Lammi LTER region, southern Finland. Ecological Indicators 65: 66-75. DOI: 10.1016/j.ecolind.2015.11.032
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Vanhala, P., Bergström, I., Haaspuro, T., Kortelainen, P., Holmberg, M., Forsius, M. 2016. Boreal forests can have a remarkable role in reducing greenhouse gas emissions locally: Land use-related and anthropogenic greenhouse gas emissions and sinks at the municipal level. Science of the Total Environment 557-558:51-57. DOI: 10.1016/j.scitotenv.2016.03.040.
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Böttcher, K., Markkanen, T.,Thum, T., Aalto, T., Aurela, M., Reick, C.H., Kolari, P., Arslan, A.N., Pulliainen, J. 2016. Evaluating Biosphere Model Estimates of the Start of the Vegetation Active Season in Boreal Forests by Satellite Observations. Remote Sensing, 8, 580, DOI:10.3390/rs8070580.
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Pöyry, J., Böttcher, K., Fronzek, S.; Gobron, N., Leinonen, R., Metsämäki, S., Raimo Virkkala, R. 2017. Predictive power of remote sensing versus temperature-derived variables in modelling phenology of herbivorous insects. Remote Sensing in Ecology and Conservation, DOI: 10.1002/rse2.56.
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Metsämäki, S., Böttcher, K., Pulliainen, J., Luojus, K., Cohen, J., Takala, M., Mattila, O.-P., Schwaizer, G., Derksen, C., & Koponen, S., 2018. The accuracy of snow melt-off day derived from optical and microwave radiometer data- A study for Europe. Remote Sensing of Environment, 211, 1-12.
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Y. Gao, T. Markkanen, M. Aurela, I. Mammarella, T. Thum, A. Tsuruta, H. Yang, and T. Aalto. Response of water use efficiency to summer drought in boreal Scots pine forests in Finland. Biogeosciences, 14, 4409-4422, 2017
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Raivonen, M., Smolander, S., Backman, L., Susiluoto, J., Aalto, T., Markkanen, T., Mäkelä, J., Rinne, J., Peltola, O., Aurela, M., Tomasic, M., Li, X., Larmola, T., Juutinen, S., Tuittila, E.-S., Heimann, M., Sevanto, S., Kleinen, T., Brovkin, V., and Vesala, T.: HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands, Geosci. Model Dev. Discuss., DOI: 10.5194/gmd-2017-52, 2017.
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Susiluoto, J., Raivonen, M., Backman, L., Laine, M., Mäkelä, J., Peltola, O., Vesala, T., and Aalto, T.: Calibrating the sqHIMMELI v1.0 wetland methane emission model with hierarchical modeling and adaptive MCMC, Geosci. Model Dev. Discuss., DOI: 10.5194/gmd-2017-66, in review, 2017.
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Thum, T., Zaehle, S., Köhler, P., Aalto, T., Aurela, M., Guanter, L., Kolari, P., Laurila, T., Lohila, A., Magnani, F., Van Der Tol, C., and Markkanen, T., 2017. Modelling sun-induced fluorescence and photosynthesis with a land surface model at local and regional scales in northern Europe, Biogeosciences, 14, 1969-1987, doi:10.5194/bg-14-1969-2017.
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Ruosteenoja, K., Markkanen, T., Venäläinen, A., Räisänen, P. and Peltola, H., 2017. Seasonal soil moisture and drought occurrence in Europe in CMIP5 projections for the 21st century, Climate Dynamics, doi:10.1007/s00382-017-3671-4.
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Gao Y., Markkanen T., Thum T., Aurela M., Lohila A., Mammarella I., Hagemann S., Aalto T. Assessing various drought indicators in representing drought in boreal forests in Finland. Hydrol. Earth Syst. Sci. 20, 175-191, 2016.
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Linkosalmi M., M. Aurela, J.-P. Tuovinen, M. Peltoniemi, C. M. Tanis, A. N. Arslan, P. Kolari, T. Aalto, J. Rainne, and T. Laurila. Digital photography for assessing vegetation phenology in two contrasting northern ecosystems. Geosci. Instrum. Method. Data Syst., 5, 417-426, 2016, doi:10.5194/gi-5-417-2016
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Mäkelä, J., Susiluoto, J., Markkanen, T., Aurela, M., Järvinen, H., Mammarella, I., Hagemann, S., and Aalto, T., 2016. Constraining ecosystem model with adaptive Metropolis algorithm usingboreal forest site eddy covariance measurements, Nonlin. Processes Geophys., 23, 447-465, doi:10.5194/npg-23-447-2016.
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Arslan, A.N.; Tanis, C.M.; Metsämäki, S.; Aurela, M.; Böttcher, K.; Linkosalmi, M.; Peltoniemi, M. Automated Webcam Monitoring of Fractional Snow Cover in Northern Boreal Conditions. Geosciences 2017, 7, 55.
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Peltoniemi, M., Aurela, M., Böttcher, K., Kolari, P., Loehr, J., Karhu, J., Linkosalmi, M., Tanis, C. M., Tuovinen, J.-P., and Arslan, A. N.: Webcam network and image database for studies of phenological changes of vegetation and snow cover in Finland, image time series from 2014 to 2016, Earth Syst. Sci. Data, 10, 173-184, DOI: 10.5194/essd-10-173-2018, 2018.
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Mikko Peltoniemi, et all, Networked web-cameras monitor congruent seasonal development of birches with phenological field observations, Agricultural and Forest Meteorology, Volume 249, 15 February 2018, Pages 335-347, DOI: 10.1016/j.agrformet.2017.10.008
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A. L.D. Augustynczik, F. Hartig, F. Minunno, H-P Kahle, D. Diaconu, M. Hanewinkel, R. Yousefpour (2017). Productivity of Fagus sylvatica under climate change - A Bayesian analysis of risk and uncertainty using the model 3-PG. Forest Ecology and Management 401: 192-206. DOI: 10.1016/j.foreco.2017.06.061
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F. Minunno, M. Peltoniemi, S. Launiainen, M. Aurela, A. Lindroth, A. Lohila,I. Mammarella, K. Minkkinen, A. Mäkelä (2016). Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region. Ecological Modelling, Volume 341, 10 December 2016, Pages 37-52. DOI: 10.1016/j.ecolmodel.2016.09.020
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J. Lonsdale, F. Minunno, M. Mencuccini, M. Perks (2015). Bayesian calibration and Bayesian model comparison of a stand level dynamic growth model for Sitka spruce and Scots pine Forestry 07/2015; 88(3):326-335. DOI:10.1093/forestry/cpv003
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M. Mencuccini, F. Minunno, Y. Salmon, J. Martínez-Vilalta, T. Hölttä (2015). Coordination of physiological traits involved in drought-induced mortality. New Phytologist 05/2015; 208(2). DOI:10.1111/nph.13461.
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Böttcher K, Aurela M., Kervinen M., Markkanen T, Mattila O-P, Kolari P., Metsämäki S., Aalto T, Arslan A.N., Pulliainen J., 2014. MODIS time-series-derived indicators for the beginning of the growing season in boreal coniferous forest - A comparison with CO2 flux measurements and phenological observations in Finland. Remote Sensing of Environment 2014, 140, 625 - 638; DOI:10.1016/j.rse.2013.09.022.
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