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1.
Figure 3

Figure 3. Temporal trends in genetic relatedness.. From: Breed Locally, Disperse Globally: Fine-Scale Genetic Structure Despite Landscape-Scale Panmixia in a Fire-Specialist.

Estimates of mean genetic relatedness within each burned area during the first, second and third year of sampling. Second and third years represent cumulative estimates of relatedness, that is, samples in year two include samples from both year one and year two.

Jennifer C. Pierson, et al. PLoS One. 2013;8(6):e67248.
2.
Figure 2

Figure 2. Genetic relatedness within burned patches.. From: Breed Locally, Disperse Globally: Fine-Scale Genetic Structure Despite Landscape-Scale Panmixia in a Fire-Specialist.

Estimates of mean genetic relatedness within each burned area with at least 10 individuals sampled (see for location descriptions) and mean relatedness for all individuals combined. The 95% confidence intervals are based on both bootstrapping (error bars surrounding estimates) and permutations (error bars surrounding null expectation of 0).

Jennifer C. Pierson, et al. PLoS One. 2013;8(6):e67248.
3.
Figure 1

Figure 1. Global spatial autocorrelation at variable distance classes.. From: Breed Locally, Disperse Globally: Fine-Scale Genetic Structure Despite Landscape-Scale Panmixia in a Fire-Specialist.

Correlogram plots based on global spatial autocorrelation analyses conducted with variable distance classes. The y-axis is the genetic correlation coefficient (r) and the x-axis is the distance class (km). (a) both sexes combined; confidence intervals (95%) were calculated using bootstrapping (error bars) and permutation tests (dashed lines), (b) female (solid line) and male (dashed line); confidence intervals (95%) were calculated using bootstrapping (error bars).

Jennifer C. Pierson, et al. PLoS One. 2013;8(6):e67248.
4.
Figure 4

Figure 4. Large-scale genetic structure among sampling locations.. From: Breed Locally, Disperse Globally: Fine-Scale Genetic Structure Despite Landscape-Scale Panmixia in a Fire-Specialist.

A scatterplot of genetic distance versus geographic distance with a regression line showing the lack of a correlation between the two parameters (P = 0.30; Mantel test). Genetic distance was based on pairwise estimates of FST/1- FST among all seven sampling locations: Alberta (AB), Missoula (MSLA), Glacier (GL), Oregon (OR), Eastern Canada (EC), South Dakota (SD), and Idaho (ID). Geographic distances were calculated as the straight-line distance from the center of each sampling location. Pairwise estimates between locations within the boreal forest (AB, MSLA, GL, EC, ID) are represented with squares; pairwise estimates involving at least one location outside the boreal forest (OR, SD) are represented with diamonds.

Jennifer C. Pierson, et al. PLoS One. 2013;8(6):e67248.

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