% pubman genre = article
@article{item_3429931,
title = {{Individual stochasticity in the life history strategies of animals and plants}},
author = {Varas Enr{\'\i}quez, Pablo Jos{\'e} and Van Daalen, Silke and Caswell, Hal},
language = {eng},
issn = {1932-6203},
doi = {10.1371/journal.pone.0273407},
publisher = {Public Library of Science},
address = {San Francisco, CA},
year = {2022},
abstract = {{The life histories of organisms are expressed as rates of development, reproduction, and{\textless}br{\textgreater}survival. However, individuals may experience differential outcomes for the same set of{\textless}br{\textgreater}rates. Such individual stochasticity generates variance around familiar mean measures of{\textless}br{\textgreater}life history traits, such as life expectancy and the reproductive number R0. By writing life{\textless}br{\textgreater}cycles as Markov chains, we calculate variance and other indices of variability for longevity,{\textless}br{\textgreater}lifetime reproductive output (LRO), age at offspring production, and age at maturity for 83{\textless}br{\textgreater}animal and 332 plant populations from the COMADRE and COMPADRE matrix databases. We{\textless}br{\textgreater}find that the magnitude within and variability between populations in variance indices in{\textless}br{\textgreater}LRO, especially, are surprisingly high. We furthermore use principal components analysis to{\textless}br{\textgreater}assess how the inclusion of variance indices of different demographic outcomes affects life{\textless}br{\textgreater}history constraints. We find that these indices, to a similar or greater degree than the mean,{\textless}br{\textgreater}explain the variation in life history strategies among plants and animals.}},
journal = {{PLoS One}},
volume = {17},
eid = {e0273407},
}