2005
DOI: 10.1038/sj.hdy.6800653
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Impact of clonal growth on effective population size in Hymenoxys herbacea (Asteraceae)

Abstract: By influencing the proliferation of different genotypes, clonal growth can affect the maintenance of genetic variability and magnitude of genetic drift within plant populations. However, estimates of effective population size rarely incorporate the contribution of both asexual and sexual reproduction. We estimated effective size (N e ) for two populations of the clonal, self-incompatible plant, Hymenoxys herbacea, using a stagestructured demographic model for organisms with asexual and sexual recruitment and t… Show more

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Cited by 12 publications
(15 citation statements)
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“…For example, in the long-term, clonal reproduction may reduce the number of genetically distinct individuals within a population and hence decrease the effective population size (e.g. [3,4]). It may also lead to a spatial genetic autocorrelation, which could be falsely attributed to limited propagule dispersal or kin-structured colonization (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…For example, in the long-term, clonal reproduction may reduce the number of genetically distinct individuals within a population and hence decrease the effective population size (e.g. [3,4]). It may also lead to a spatial genetic autocorrelation, which could be falsely attributed to limited propagule dispersal or kin-structured colonization (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…A multitude of life‐history traits may influence genetic variation and N e of plant populations. For instance, asexual reproduction may diminish random genetic drift by increasing the probability of preserving alleles in a population (Campbell and Husband, 2005), whereas nonrandom mating decreases N e because of shorter coalescence times to most recent common ancestor (Nordborg and Donnelly, 1997; Charlesworth, 2009). Seed banks should have profound consequences for the effect of genetic drift and, thus, patterns of genetic structuring (Templeton and Levin, 1979; Vitalis et al, 2004).…”
mentioning
confidence: 99%
“…A few studies on the effect of stage‐specific vital rates on N e in which elasticity or other forms of perturbation analysis were used have been published (Yonezawa et al 2000; Campbell & Husband 2005). Yonezawa et al (2000) analyzed the effect of vital rates on N e in one population of the perennial plant Fritillaria camtschatcensis .…”
Section: Discussionmentioning
confidence: 99%
“…We calculated the elasticity of N e , N a , and λ to matrix elements a ij and lower‐level vital rates (survival rates [ u j ] and flowering probabilities [ p j ]). Elasticities were estimated numerically by perturbing the matrix elements (or the vital rates) by a small quantity that was proportional to their values (0.01%) (Heppell et al 2000; Campbell & Husband 2005): where y is one of N e , N a , or λ; x is a matrix element or a vital rate; y + and y − are the values of y when x is respectively increased or decreased by 0.01%.…”
Section: Methodsmentioning
confidence: 99%