PRELES (
The semi‐empirical ecosystem flux model PRELES(PREdict Light‐use efficiency, Evapotranspiration and Soil water)was calibrated and evaluated for various forest types and climate conditions (
There is evidence that the potential LUE is also influenced by foliar nitrogen content, but this has not yet been included in PRELES formulation (Peltoniemi et al. 2012, Tian et al. 2021).
The model has been applied to regional estimation of forest gas exchange (
Mäkelä, A., Pulkkinen, M., Kolari, P., Lagergren, F., Berbigier, P., Lindroth, A., Loustau, D., Nikinmaa, E., Vesala, T. & Hari, P.2008. Developing an empirical model of stand GPP with the LUE approach: analysis of eddy covariance data at five contrasting conifer sites in Europe. Global Change Biology 14(1):92–108.
Peltoniemi M., Pulkkinen M., Kolari, P., Duursma, R., Montagnani, L., Wharton, S., Lagergren, F., Takagi, K., Verbeeck, H., Christensen, T., Vesala, T., Falk, M., Loustau, D., Mäkelä, A. 2012. Does canopy mean N concentration explain differences in light use efficiencies of canopies in 14 contrasting forest sites? Tree Physiology, 32(2): 200-218
Peltoniemi, M., Pulkkinen, M., Aurela M., Pumpanen, J., Kolari, P., Mäkelä, A. 2015b. A semi-empirical model of boreal forest gross primary production, evapotranspiration, and soil water – calibration and sensitivity analysis. Boreal Environment Research, 20: 151–171.
Kalliokoski T., Mäkelä A., Fronzek T., Minunno F., Peltoniemi M. 2018. Decomposing sources of uncertainty in climate change projections of boreal forest primary production. Agricultural and Forest Meteorology, 262: 192-205
Minunno F., Peltoniemi M., Launiainen S., Aurela M., Lindroth A., Lohila A., Mammarella I., Minkkinen K., Mäkelä A., 2016. Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region. Ecological Modelling, 341: 37-52.
Tian, X, Minunno, F, Cao, T, Peltoniemi, M, Kalliokoski, T, Mäkelä, A. 2020. Extending the range of applicability of the semi-empirical ecosystem flux model PRELES for varying forest types and climate. Global Change Biology, 26: 2923–2943.
Tian X, Minunno F, Schiestl-Aalto P, Chi J, Zhao P, Peichl M, Marshall J, Näsholm T, Lim H, Peltoniemi M, Linder S, Mäkelä A 2021. Disaggregating the effects of nitrogen addition on gross primary production in a boreal Scots pine forest. Agricultural and Forest Meteorology, 301–302: 108337.
Vernay A., Tian X., Chi J., Linder S., Mäkelä A., Oren R., Peichl M., Stangle ZR, Tor-Ngern P, Marshall JD. 2020. Estimating canopy gross primary production by combining phloem stable isotopes with canopy and mesophyll conductances. Plant Cell and Environment. 43: 2124-2142
Mäkelä J, Minunno F, Aalto T, Mäkelä A, Markkanen T, Peltoniemi M. 2020. Sensitivity of 21st century simulated ecosystem indicators to model parameters, prescribed climate drivers, RCP scenarios and forest management actions for two Finnish boreal forest sites. Biogeosciences 17: 2681-2700.