Using false discovery rates for multiple comparisons in ecology and evolution

Summary 1. Ecologists and evolutionary biologists often need to simultaneously evaluate the significance of multiple related hypotheses. Multiple comparisons need to be corrected to avoid inappropriately increasing the number of null hypotheses that are wrongly rejected. The traditional method of correction involves Bonferroni‐type multiple comparison procedures which are highly conservative, tending to increase the number of wrong rejections of true hypotheses as the number of hypotheses being simultaneously tested increases. 2. Newer procedures which are based on False Discovery Rates and which do not suffer the same loss of power as traditional methods are described. Algorithms and spreadsheet‐based…