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This allowed an unbiased comparison of richness among different plot sizes (Kindt and Coe 2005).
The correlations in species richness among the four taxa studied were low.
The statistical models explained 22 79% of variation in bird richness among avifaunal zones by functional group, and 32 99% of variation in bird richness among the socio-economic regions.
Paired and two-sample t-tests documented differences in richness among land management regions and between regions over time.
It also analyzes the association of the species richness among these groups, and compares their values inside and outside of the protected areas.
Significant differences were found in AMF species richness among plots and seasons and the diversity index of AMF was higher than 1.0 in most cases.
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There was no statistically significant difference among allelic richness values among populations (P = 0.457, by one-way ANOVA on ranks).
Fish diversity or richness varied among sampling locations, season and years (Table 2).
The largest partition of species richness was among patches within canopy patch type (β1).
Figure 5 Mean and standard error bar graphs for the significant results from Table 2 involving species richness (A) among unflooded forests and (B) unflooded vs. flooded forests.
Species richness values among the three communities were also different, chiefly in spring (F = 10.23, P < 0.0001) and summer (F = 10.75, P < 0.0001).
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