Showing papers by "Trevor D. Price published in 2004"

Adaptive phenotypic plasticity and the successful colonization of a novel environment.

Abstract: Behavior and other forms of phenotypic plasticity potentially enable individuals to deal with novel situations. This implies that establishment of a population in a new environment is aided by plastic responses, as first suggested by Baldwin (1896). In the early 1980s, a small population of dark‐eyed juncos from a temperate, montane environment became established in a Mediterranean climate in coastal San Diego. The breeding season of coastal juncos is more than twice as long as that of the ancestral population, and they fledge approximately twice as many young. We investigated the adaptive significance of the longer breeding season and its consequences for population persistence. Within the coastal population, individuals with longer breeding seasons have higher offspring production and recruitment, with no measured detrimental effects such as higher mortality or lower reproductive success the following year. Population size has remained approximately constant during the 6 years of study (1998–2...

Genetic and morphological evolution following a founder event in the dark-eyed junco, Junco hyemalis thurberi.

Abstract: An isolated population of dark-eyed juncos, Junco hyemalis, became established on the campus of the University of California at San Diego (UCSD), probably in the early 1980s. It now numbers about 70 breeding pairs. Populations across the entire natural range of the subspecies J. h. thurberi are weakly differentiated from each other at five microsatellite loci ( F ST = 0.01). The UCSD population is significantly different from these populations, the closest of which is 70 km away. It has 88% of the genetic heterozygosity and 63% of the allelic richness of populations in the montane range of the subspecies, consistent with a harmonic mean effective population size of 32 (but with 95% confidence limits from four to > 70) over the eight generations since founding. Results suggest a moderate bottleneck in the early establishment phase but with more than seven effective founders. Individuals in the UCSD population have shorter wings and tails than those in the nearby mountains and a common garden experiment indicates that the morphological differences are genetically based. The moderate effective population size is not sufficient for the observed morphological differences to have evolved as a consequence of genetic drift, indicating a major role for selection subsequent to the founding of the UCSD population.

Parallel Evolution Is in the Genes

Abstract: Complex plumage patterns seem to have evolved independently among many very different bird species, a striking example of parallel evolution. In their Perspective, Hoekstra and Price discuss the molecular basis for similar dark plumage patterns between two very different arctic bird species ( Mundy et al .).

Comparative methods based on species mean values.

Abstract: Comparative methods that use simple linear regression based on species mean values introduce three difficulties with respect to the standard regression model. First, species values may not be independent because they form part of a hierarchically structured phylogeny. Second, variation about the regression line includes two sources of error: 'biological error' due to deviations of the true species mean values from the regression line and sampling error associated with the estimation of these mean values [B. Riska, Am. Natural. 138 (1991) 283]. Third, sampling error in the independent variable results in an attenuated estimate of the regression slope. We consider estimation and hypothesis testing using two statistical models which explicitly justify the use of the species mean values, without the need to account for phylogenetic relationships. The first (random-effects) is based on an evolutionary model whereby species evolve to fill a bivariate normal niche space, and the second (fixed-effects) is concerned with describing a relationship among the particular species included in a study, where the only source of error is in the estimation of species mean values. We use a modification of the maximum-likelihood method to obtain an unbiased estimate of the regression slope. For three real datasets we find a close correspondence between this slope and that obtained by simply regressing the species mean values on each other. In the random effects model, the P-value also approximates that based on the regression of species mean values. In the fixed effects model, the P-value is typically much lower. Simulated examples illustrate that the maximum-likelihood approach is useful when the accuracy in estimating the species mean values is low, but the traditional method based on a regression of the species mean values may often be justified provided that the evolutionary model can be justified.