Variance of size-age curves: bootstrapping with autocorrelation

We modify a method of estimating size-age relations from a minimal set of individual increment data, recognizing that growth depends not only on size but also varies greatly among individuals and is consistent within an individual for several to many time intervals. The method is exemplified with da...

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Bibliographic Details
Published in:Ecology (Durham) 2004-08, Vol.85 (8), p.2114-2117
Main Authors: Bullock, S.H, Turner, R.M, Hastings, J.R, Escoto-Rodriguez, M, Ramirez Apud Lopez, Z, Rodriguez-Navarro, J.L
Format: Article
Language:English
Subjects:
age–size relations
Animal and plant ecology
Animal populations
Animal, plant and microbial ecology
Autocorrelation
Biological and medical sciences
Bootstrap method
Deserts
Forest ecology
Fouquieria
Fundamental and applied biological sciences. Psychology
General aspects
growth
Plant ecology
Plant growth
Plant populations
Plants
Population ecology
Population estimates
Population growth
population structure
serial autocorrelation
simulation models
Statistical analysis
Statistical Reports
Trees
uncertainty estimation
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Summary:We modify a method of estimating size-age relations from a minimal set of individual increment data, recognizing that growth depends not only on size but also varies greatly among individuals and is consistent within an individual for several to many time intervals. The method is exemplified with data from a long-lived desert plant and a range of autocorrelation factors encompassing field-measured values. The results suggest that age estimates based on size and growth rates with only moderate autocorrelation are subject to large variation, which raises major problems for prediction or hindcasting for ecological analysis or management.
ISSN:0012-9658
1939-9170
DOI:10.1890/03-3115