Data analysis
Data analysis was carried out using Microsoft Excel (2019) and STATA version 17 (StataCorp, College Station, Texas). Normality of variables was tested using the Shapiro-Wilk test (Razali & Wah, 2011), alongside visual inspection of histograms. Homogeneity of variance was tested using Levene’s test (Nordstokke & Zumbo, 2010; Nordstokke et al., 2011). The Shapiro-Wilk and Levene’s tests showed that the dependent variables (adults/m2 and egg masses) did not follow a normal distribution (p<.001) and had unequal variances (p<.001). Therefore, the nonparametric Kruskal-Wallis H test (Chan & Walmsley, 1997) (Vargha & Delaney, 1998) was used to determine whether these variables differed across the different sections. A pairwise post-hoc Dunn’s test with Bonferroni adjustments was done to identify the sections which were significantly different, with respect to the number of adults/m2 and egg masses. Only data from Mwea was included in the analysis since no GAS were observed in all the other schemes.