When should plant population models include age structure?
Article first published online: 17 JAN 2014
© 2013 The Authors. Journal of Ecology © 2013 British Ecological Society
Journal of Ecology
Volume 102, Issue 2, pages 531–543, March 2014
How to Cite
Chu, C., Adler, P. B. (2014), When should plant population models include age structure?. Journal of Ecology, 102: 531–543. doi: 10.1111/1365-2745.12212
- Issue published online: 19 FEB 2014
- Article first published online: 17 JAN 2014
- Accepted manuscript online: 19 DEC 2013 09:41AM EST
- Manuscript Accepted: 16 DEC 2013
- Manuscript Received: 10 MAY 2013
- National Science Foundation. Grant Number: DEB-1054040
- individual heterogeneity;
- integral projection model;
- plant population and community dynamics;
- structured population modelling;
- survivorship curves
- Most population models for plants are structured exclusively by size or stage. However, the assumption that age can be safely ignored has not been rigorously tested.
- We used an unprecedented data set from western North America on age-specific demography of 19 populations of perennial grasses to determine when age structure can alter model behaviour.
- Based on the Akaike Information Criterion, the best statistical models included both size and age for 14 and 18 of the 19 populations for the growth and survival function, respectively. The inclusion of age reduced the sums of squared residuals by 0.1–5.6% for growth rates and reduced the residual deviance by 0.06–8.2% for survival rates. When we compared observed per capita growth rates with predictions from individual-based models, we found that in eleven populations, models with age explained 1.3–45.8% (with a mean of 12.8%) more variance than size-only models.
- Density-dependent integral projection models showed that the inclusion of age had strong effects on equilibrium cover for some species but not others. When equilibrium cover differed, it was almost always higher in models with age.
- The population consequences of incorporating age were best predicted by the shape of a species' survival curve: equilibrium cover was most sensitive to inclusion of age structure for species with very hollow (Type III) survivorship curves. We speculate that age serves as a proxy for high individual-level heterogeneity, which is known to generate Type III survivorship curves and can increase equilibrium abundance.
- Synthesis. Our results indicate that including age structure in models is most important for populations with strong Type III survivorship curves. For such populations, which are likely to contain high individual heterogeneity, models that ignore age could underestimate population growth rates and equilibrium cover. More research is needed to test whether our results, based on data from perennial grasses, also apply to other plant growth forms.