A framework for modelling the annual cycle of trees in boreal and temperate regions

By H. Hänninen, K. Kramer. 2007

187 citations recorded by the source corpus.

Models of the annual development cycle of trees in boreal and temperate regions were reviewed and classified on the basis of their ecophysiological assumptions. In our classification we discern two main categories of tree development: 1) fixed sequence development, which refers to irreversible ontogenetic development leading to visible phenological events such as bud burst or flowering, and 2) fluctuating development, which refers to reversible physiological phenomena such as the dynamics of frost hardiness during winter. As many of the physiological phenomena are partially reversible, we also describe integrated models, which include aspects of both fixed-sequence and fluctuating development. In our classification we further discern simple E-models, where the environmental response stays constant, and more comprehensive ES-models, where the environmental response changes according to the state of development. On the basis of this model classification, we have developed an operational modelling framework, in which we define an explicit state variable and a corresponding rate variable for each attribute of the annual cycle considered. We introduce a unifying notation, which we also use when presenting a selection of previously published models. To illustrate the various developmental phenomena and their modelling, we have carried out model simulations. Finally, we discuss the ecophysiological interpretation of the model variables, methodological aspects of the empirical development and testing of the models, the introduction of new aspects to the modelling, other closely related models, and applications of the models.

Subfields: Atmospheric Science, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/239007d37520659dd11b7452a76ac39fd4de54e5

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Citations in the corpus

Climate change, phenology, and phenological control of vegetation feedbacks to the climate system (2013, background): “However, most recent analyses continue to be based around paradigms that have been in wide use for several decades (Sarvas, 1972; Cannell and Smith, 1983; Hunter and Lechowicz, 1992; Kramer, 1994; Chuine et al., 2003; Hänninen and Kramer, 2007).”
Shortcomings of classical phenological forcing models and a way to overcome them (2012, background): “ontrary to what Heide and Prestrud (2005) claimed.”
Warm temperature accelerates short photoperiod-induced growth cessation and dormancy induction in hybrid poplar (Populus × spp.) (2009, background): “Other studies are in agreement with our findings and have reported that temperature can influence phenological processes in woody plants (Weiser 1970; Fuchigami et al. 1971; Heide 2003; Junttila et al. 2003; Heide and Prestrud 2005; Palonen 2006; Hanninen and Kramer 2007).”
Modelling exploration of the future of European beech (Fagus sylvatica L.) under climate change—Range, abundance, genetic diversity and adaptive response (2010, methodology): “For the bud burst case study, we used the sequential model to simulate the date of bud burst (Hänninen, 1990; Hänninen and Kramer, 2007; Kramer, 1994b).”
Emerging opportunities and challenges in phenology: a review (2016, background): “…(wholly or partly) on known or hypothetical cause–effect relationships between physiological processes and environmental factors (Chuine et al. 2003, Hanninen and Kramer 2007), most rest on statistical relationships obtained from past observations because of the lack of true dose–response…”
Leaf phenology in 22 North American tree species during the 21st century (2009, background): “Chuine et al. (2003) and Hänninen & Kramer (2007) provide recent, thorough reviews of these process-based models.”
Temperate and boreal forest tree phenology: from organ-scale processes to terrestrial ecosystem models (2016, background): “A change in the timing of one phase can potentially affect the timing of subsequent phases (Hänninen and Kramer 2007; Fu et al. 2014).”