Table 1.
Description and summary of social, economic, and food security variables surveyed in four coastal fishing villages in Kenya.
Table 2.
Summary of socio-economic characteristics and food security metrics from fishing and non-fishing households, and households near vs. far from a no-take marine reserve.
Figure 1.
Importance of socio-economic characteristics and proximity to marine reserves for household food security in Kenyan coastal communities.
Food security was described by three metrics: (A) protein consumption, (B) diet diversity and (C) food coping strategies. Panels on the left show averaged effect sizes and 95% confidence estimates from multi-model averaging; the line at zero indicates no effect. Significant predictors (where the 95% confidence interval does not overlap zero) are highlighted in red. Panels on the right show the direction of significant predictors. For (A), boxplots show medians (thick horizontal lines) with first and third quartiles (boxes), 95% confidence intervals (whiskers) and one outlier (point); asterisks indicate mean values of each group. For (B) and (C), a linear relationship is shown based on model-averaged coefficients. Household wealth is derived from a Material Style of Life principal components axis described in Figure S2.
Figure 2.
Comparisons of (A) protein consumption, B) diet diversity and C) food coping strategies between households near and far from marine reserves in Kenya (n = 54 pairs of households matched on household size, number of jobs, fortnightly expenditures and wealth).
Paired t-tests are given for each comparison.
Table 3.
Comparison of socio-economic characteristics of Kenyan coastal households near and far from marine reserves, before and after matching.
Figure 3.
Diets of Kenyan coastal households with and without fishing as the primary livelihood.
Diets are described in terms of weekly consumption (number of days consumed per week) of seven major food groups. Asterisks indicate significant differences in post-hoc comparisons after controlling for multiple tests (n = 53 fishing households, n = 58 non-fishing households).