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• W1991041410 abstract "Plants and animals often exhibit strong and persistent growth variation among individuals within a species. Persistently fast‐growing individuals have a higher chance of reaching reproductive size, do so at a younger age, and therefore contribute disproportionately to population growth (λ). Here we introduce a new approach to quantify this “fast‐growth effect.” We propose using age‐size‐structured matrix models in which persistently fast and slow growers are distinguished as they occur in relatively young and old age classes for a given size category. Life‐cycle pathways involving fast growth can then be identified, and their contribution to λ is quantified through loop analysis. We applied this approach to an example species, the tropical rainforest tree Cedrela odorata, that shows persistent growth variation among individuals. Loop analysis showed that juvenile trees reaching the 10‐cm diameter class at below‐median age contributed twice as much to λ as slow juvenile growers. Fast growth to larger‐diameter categories also contributed disproportionately to λ. The results were robust to changes in parameter values and life‐history trade‐offs. These results show that the fast‐growth effect can be strong in long‐lived species. Persistent growth differences among individuals should therefore be accommodated for in demographic models and life‐history studies." @default.
• W1991041410 created "2016-06-24" @default.
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• W1991041410 date "2009-11-01" @default.
• W1991041410 modified "2023-09-23" @default.
• W1991041410 title "Do Persistently Fast‐Growing Juveniles Contribute Disproportionately to Population Growth? A New Analysis Tool for Matrix Models and Its Application to Rainforest Trees" @default.
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• W1991041410 doi "https://doi.org/10.1086/605981" @default.
• W1991041410 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19778168" @default.
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