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.

Geographic locations of groups included in the present study.

More »

Figure 1 Expand

Table 1.

Results of regression analyses using the unstratified global sample (n = 263). See Materials and Methods for details of abbreviations.

More »

Table 1 Expand

Figure 2.

Absolute latitude versus i) body mass, ii) BMI, iii) SA/BM, and iv) PI for global unstratified sample.

See Materials and Methods for details of abbreviations.

More »

Figure 2 Expand

Figure 3.

Mean annual temperature versus i) body mass, ii) BMI, iii) SA/BM, and iv) PI for global unstratified sample.

More »

Figure 3 Expand

Figure 4.

Absolute latitude versus i) body mass, ii) BMI, iii) SA/BM, and iv) PI for one of the stratified global subsamples.

More »

Figure 4 Expand

Figure 5.

Mean annual temperature versus i) body mass, ii) BMI, iii) SA/BM, and iv) PI for one of the stratified global subsamples.

More »

Figure 5 Expand

Table 2.

Results of regression analyses using stratified global subsamples (n = 108). All relationships are significant at the Benjamini-Yekutieli adjusted p-value.

More »

Table 2 Expand

Figure 6.

Latitude versus i) body mass, ii) BMI, iii) SA/BM, and iv) PI for one of the stratified northern hemisphere subsamples.

More »

Figure 6 Expand

Figure 7.

Mean annual temperature versus i) body mass, ii) BMI, iii) SA/BM, and iv) PI for one of the stratified northern hemisphere subsamples.

More »

Figure 7 Expand

Figure 8.

Latitude versus i) body mass, ii) BMI, iii) SA/BM, and iv) PI for one of the stratified southern hemisphere subsamples.

More »

Figure 8 Expand

Figure 9.

Mean annual temperature versus i) body mass, ii) BMI, iii) SA/BM, and iv) PI for one of the stratified southern hemisphere subsamples.

More »

Figure 9 Expand

Table 3.

Results of regression analyses using stratified northern hemisphere subsamples (n = 57). All relationships are significant at the Benjamini-Yekutieli adjusted p-value.

More »

Table 3 Expand

Table 4.

Results of regression analyses using stratified southern hemisphere subsamples (n = 28). Significant relationships at the Benjamini-Yekutieli adjusted p-value are identified in bold.

More »

Table 4 Expand

Table 5.

Results of regression analyses using stratified 0–40° N subsamples (n = 32). None of the relationships is significant at the Benjamini-Yekutieli adjusted p-value.

More »

Table 5 Expand

Table 6.

Results of regression analyses using stratified >40° N subsamples (n = 25). Significant relationships at the Benjamini-Yekutieli adjusted p-value are identified in bold.

More »

Table 6 Expand

Table 7.

Results of regression analyses at five-degree latitudinal increments. Each cell shows the number of subsamples (out of ten) in which a significant correlation was observed. MAT = mean annual temperature (°C).

More »

Table 7 Expand