title: Bridging the generation gap in plants: pollination, parental fecundity, and offspring demography.
abstract: Despite extensive study of pollination and plant reproduction on the one hand, and of plant demography on the other, we know remarkably little about links between seed production in successive generations, and hence about long-term population consequences of variation in pollination success. We bridged this "generation gap" in Ipomopsis aggregata, a long-lived semelparous wildflower that is pollinator limited, by adding varying densities of seeds to natural populations and following resulting plants through their entire life histories. To determine whether pollen limitation of seed production constrains rate of population growth in this species, we sowed seeds into replicated plots at a density that mimics typical pollination success and spacing of flowering plants in nature, and at twice that density to mimic full pollination. Per capita offspring survival, flower production, and contribution to population increase (lambda) did not decline with sowing density in this experiment, suggesting that typical I. aggregata populations freed from pollen limitation will grow over the short term. In a second experiment we addressed whether density dependence would eventually erase the growth benefits of full pollination, by sowing a 10-fold range of seed densities that falls within extremes estimated for the natural "seed rain" that reaches the soil surface. Per capita survival to flowering and age at flowering were again unaffected by sowing density, but offspring size, per capita flower production, and lambda declined with density. Such density dependence complicates efforts to predict population dynamics over the longer term, because it changes components of the life history (in this case fecundity) as a population grows. A complete understanding of how constraints on seed production affect long-term population growth will hinge on following offspring fates at least through flowering of the first offspring generation, and doing so for a realistic range of population densities.
authors.affiliation: Rocky Mountain Biological Laboratory, Crested Butte, Colorado 81224, USA. mary.price@ucr.edu
authors.forename: Mary V
authors.initials: MV
authors.lastname: Price
authors.forename: Diane R
authors.initials: DR
authors.lastname: Campbell
authors.forename: Nickolas M
authors.initials: NM
authors.lastname: Waser
authors.forename: Alison K
authors.initials: AK
authors.lastname: Brody
mesh_terms: D003710:Demography; D019684:Magnoliopsida / Q000502:physiology*; D010944:Plants / Q000235:genetics* / Q000378:metabolism*; D011058:Pollen / Q000502:physiology*; D012098:Reproduction / Q000502:physiology