Trajectories and models of individual growth
By A. S. Karkach. 2006
164 citations recorded by the source corpus.
It has long been recognized that the patterns of growth play an important role in the evolution of age trajectories of fertility and mortality (Williams, 1957). Life history studies would benefit from a better understanding of strategies and mechanisms of growth, but still no comparative research on individual growth strategies has been conducted. Growth patterns and methods have been shaped by evolution and a great variety of them are observed. Two distinct patterns - determinate and indeterminate growth - are of a special interest for these studies since they present qualitatively different outcomes of evolution. We attempt to draw together studies covering growth in plant and animal species across a wide range of phyla focusing primarily on the noted qualitative features. We also review mathematical descriptions of growth, namely empirical growth curves and growth models, and discuss the directions of future research.
Subfields: Demography, Pediatrics, Perinatology and Child Health
View Paper: https://www.semanticscholar.org/paper/3301204b0dfa3b15f79d0a8e1c176ef756486dd0
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In Demography
In Pediatrics, Perinatology and Child Health
Citations in the corpus
- Dissecting the Phenotypic Components of Crop Plant Growth and Drought Responses Based on High-Throughput Image Analysis[W][OPEN] (2014, background): “The complexity of plant growth has been long recognized (Gompertz, 1825; Blackman, 1919; Erickson, 1976; Hunt, 1982; Karkach, 2006).”
- Comparison of Mathematical Models for Describing the Growth of Baluchi Sheep (2014, background): “According to Karkach (2006) the curves can be classified according to the type of growth: determinate or indeterminate.”
- Life in the really slow lane: loggerhead sea turtles mature late relative to other reptiles (2012, methodology): “…much discussion remains over the suitability of different growth equations to derive growth and size at age curves of species (Day & Taylor 1997; Karkach 2006; Lee & Werning 2008), by using data from post-hatchlings to mature adults, we avoid the common practice of extrapolating models beyond…”