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Plant survival is a key factor in forest dynamics and survival probabilitiesoften vary across life stages. Studies specifically aimed at assessing treesurvival are unusual and so data initially designed for other purposes oftenneed to be used; such data are more likely to contain errors than datacollected for this specific purpose. We investigate the survival rates of tentree species in a dataset designed to monitor growth rates. As some individualswere not included in the census at some time points we usecapture-mark-recapture methods both to allow us to account for missingindividuals, and to estimate relocation probabilities. Growth rates, size, andlight availability were included as covariates in the model predicting survivalrates. The study demonstrates that tree mortality is best described as constantbetween years and size-dependent at early life stages and size independent atlater life stages for most species of UK hardwood. We have demonstrated thateven with a twenty-year dataset it is possible to discern variability bothbetween individuals and between species. Our work illustrates the potentialutility of the method applied here for calculating plant population dynamicsparameters in time replicated datasets with small sample sizes and missingindividuals without any loss of sample size, and including explanatorycovariates.

Effects of growth rate, size, and light availability on tree survival  across life stages: a demographic analysis accounting for missing values and  small sample sizes