Stochastic population dynamics of clonal plants: Numerical experiments with ramet and genet models

Abstract

AbstractDynamics of ramer and genet populations were analyzed by use of stochastic matrix models. Based on field data, population development and extinction rates during 50 simulated years were estimated for ramet populations of three species Potentilla anserina, Rubus saxatilis and Linnaea borealis. Only small initial populations (below 125–250 ramets), experienced a detectable risk of extinction within this time interval. For P. anserina and R. saxatilis, population increase occurred in some simulations despite negative average growth rates. A model for stochastic genet dynamics was constructed by combining field data and hypothesized parameter values. Growth rate and population structure were insensitive to variation in disturbance intensity and frequency, whereas variation in recruitment affected population structure but only to a minor extent growth rate. Decreasing recruitment causes extinction of genet populations, but the time‐scale for the decline is in the magnitude of centuries for initial genet populations of about 1000 individuals. Dynamics of genets in clonal plants thus incorporate processes occurring on widely different scales. Some implications of the results for models of population dynamics in long‐lived clonal plants are discussed.