TY - JOUR
T1 - Measuring mast seeding behavior: Relationships among population variation, individual variation and synchrony
AU - Buonaccorsi, J.P.
AU - Elkinton, J.
AU - Koenig, W.
AU - Duncan, R.P.
AU - Kelly, D.
AU - Sork, V.
N1 - cited By 29
PY - 2003
Y1 - 2003
N2 - Mast seeding, or masting, is the variable production of flowers, seeds, or fruit across years more or less synchronously by individuals within a population. A critical issue is the extent to which temporal variation in seed production over a collection of individuals can be viewed as arising from a combination of individual variation and synchrony among individuals. Studies of masting typically quantify such variation in terms of the coefficient of variation (CV). In this paper we examine mathematically how the population CV relates to the mean individual CV and synchrony, concluding that the relationship is a complex one which cannot isolate an overall measure of synchrony, and involves additional factors, principally the number of plants sampled and the mean productivity per plant. Our development suggests some simple approximate relationships of population CV to individual variability, synchrony and the number of individuals. These were found to fit quite well when applied to data from 59 studies which included seed production at the individual level.
AB - Mast seeding, or masting, is the variable production of flowers, seeds, or fruit across years more or less synchronously by individuals within a population. A critical issue is the extent to which temporal variation in seed production over a collection of individuals can be viewed as arising from a combination of individual variation and synchrony among individuals. Studies of masting typically quantify such variation in terms of the coefficient of variation (CV). In this paper we examine mathematically how the population CV relates to the mean individual CV and synchrony, concluding that the relationship is a complex one which cannot isolate an overall measure of synchrony, and involves additional factors, principally the number of plants sampled and the mean productivity per plant. Our development suggests some simple approximate relationships of population CV to individual variability, synchrony and the number of individuals. These were found to fit quite well when applied to data from 59 studies which included seed production at the individual level.
U2 - 10.1016/S0022-5193(03)00148-6
DO - 10.1016/S0022-5193(03)00148-6
M3 - Article
SN - 0022-5193
VL - 224
SP - 107
EP - 114
JO - Journal of Theoretical Biology
JF - Journal of Theoretical Biology
IS - 1
ER -