2014
DOI: 10.1016/j.ecolmodel.2014.01.026
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A new probabilistic canopy dynamics model (SLCD) that is suitable for evergreen and deciduous forest ecosystems

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Cited by 13 publications
(5 citation statements)
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“…These recurrent biological events are controlled by genetic (Neeman 1993) and environmental factors (Diez et al 2014, Hakkinen et al 1998, Sainte-Marie et al 2014, as well as by community structure and competition . Phenology is used as an integrative measure of plant responses to environmental changes , Schwartz 2013.…”
Section: Introductionmentioning
confidence: 99%
“…These recurrent biological events are controlled by genetic (Neeman 1993) and environmental factors (Diez et al 2014, Hakkinen et al 1998, Sainte-Marie et al 2014, as well as by community structure and competition . Phenology is used as an integrative measure of plant responses to environmental changes , Schwartz 2013.…”
Section: Introductionmentioning
confidence: 99%
“…The plantations present a continuous foliar phenology with leaf production and leaf fall throughout the year. This has previously led to the development of a canopy dynamics model (Sainte-Marie et al, 2014). While this model was sufficient to explain leaf production and leaf fall dynamics, we found it necessary to develop a new cohort-based canopy dynamics model (summarised in Fig.…”
Section: Overview Of the Leaf Cohort Modelmentioning
confidence: 99%
“…Because those ecosystems have a continuous phenology, it required the creation of a leaf cohort model (see e.g. Sainte-Marie et al, 2014) that explicitly takes into account the effect of K on different leaf-level processes (leaf expansion, lifespan, etc. ).…”
Section: Introductionmentioning
confidence: 99%
“…Currently, LSMs use empirical relationships, such as fixed coefficients, allometric relations, or optimization theory, to determine carbon allocation to leaf growth [36]. The phenology of leaf allocation has rarely been considered, particularly in evergreen forests (but see [37]). It is widely assumed that leaf phenology is driven by seasonal variation in F NPP alone.…”
Section: Introductionmentioning
confidence: 99%