Table 3. Correlations (Kendall’s between carbon and tree diversity in South America (n = 158 τ) plots), Africa (n = 162) and Asia (n = 40). Power analysis was used to estimate the minimum effect size (presented as both and Pearson’s r ) detectable with 80% power. Correlations with taxon τ richness per 300 stems are shown in parentheses. Correlations with other diversity metrics shown in Supplementary Table 4. Diversity metric South America Africa Asia P-value P-value P-value τ τ τ Fisher’s 0.083 0.12 0.012 0.821 0.115 0.302 α Species richness 0.084 0.12 0.014 0.788 0.132 0.230 (0.092) (0.087) (0.031) (0.573) (0.151) (0.174) Genus richness 0.066 0.223 -0.016 0.765 -0.006 0.954 (0.059) (0.272) (0.01) (0.859) (-0.051) (0.652) Family richness -0.007 0.893 -0.051 0.35 0.087 0.434 (-0.042) (0.43) (-0.036) (0.519) (0.021) (0.862) Detectable = 0.14 = 0.14 = 0.28 τ τ τ effect size r = 0.22 r = 0.22 r = 0.43
Table 3. Correlations (Kendall’s τ) between carbon and tree diversity in South America (n = 158 plots), Africa (n = 162) and Asia (n = 40). Power analysis was used to estimate the minimum effect size (presented as both τ and Pearson’s r ) detectable with 80% power. Correlations with taxon richness per 300 stems are shown in parentheses. Correlations with other diversity metrics shown in Supplementary Table 4. Diversity metric South America Africa Asia τ P-value τ P-value τ P-value Fisher’s α 0.083 0.12 0.012 0.821 0.115 0.302 Species richness 0.084 (0.092) 0.12 (0.087) 0.014 (0.031) 0.788 (0.573) 0.132 (0.151) 0.230 (0.174) Genus richness 0.066 (0.059) 0.223 (0.272) -0.016 (0.01) 0.765 (0.859) -0.006 (-0.051) 0.954 (0.652) Family richness -0.007 (-0.042) 0.893 (0.43) -0.051 (-0.036) 0.35 (0.519) 0.087 (0.021) 0.434 (0.862) Detectable effect size τ = 0.14 r = 0.22 τ = 0.14 r = 0.22 τ = 0.28 r = 0.43