Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Figure 1.

Location of prairies sampled across a significant precipitation gradient in the Great Plains.

Prairie locations are (1) Smoky Valley Ranch, (2) Wilson Lake, (3) The Land Institute, (4) Konza Prairie Biological Station, and (5) Tucker Prairie. The background shading indicates an interpolation of annual average precipitation (cm) from 1961–1990 (where the precipitation map is copyright PRISM Climate Group, Oregon State University, http://prism.oregonstate.edu).

More »

Figure 1 Expand

Figure 2.

Collection sites for Andropogon gerardii.

More »

Figure 2 Expand

Figure 3.

Sampling methodology at different scales.

Each prairie (A) contained four transects. Each 40 m transect (B) contained a series of five subgroups. Five ramets were sampled at each subgroup (C).

More »

Figure 3 Expand

Table 1.

Tallgrass prairies sampled, with state, UTM coordinates, AFLP sample size, Rxo1-RFLP sample size and average annual precipitation from the nearest weather station (1971–2000).

More »

Table 1 Expand

Figure 4.

AFLP dissimilarity by geographic distance.

Points from left to right are plotted at 1.8 m (within subgroup), 10 m (between adjacent subgroups), 20 m, 30 m, 40 m, 2139 m (between transects), and 473,025 m (between prairies). The slope parameter (‘b’), and 95% confidence interval from a randomization test are indicated.

More »

Figure 4 Expand

Figure 5.

AFLP (a) and Rxo1 (b) dissimilarity across precipitation.

The mean dissimilarity for each prairie was calculated and plotted according to average annual precipitation. The p-value (‘p’), slope parameter (‘b’) and standard error (‘se’) from a linear regression model are indicated.

More »

Figure 5 Expand

Figure 6.

Shannon's information measure (H′) calculated for AFLP (a) and Rxo1 (b) results for each prairie as a function of average annual precipitation.

The p-value (‘p’), slope parameter (‘b’) and standard error (‘se’) from a linear regression model are indicated.

More »

Figure 6 Expand