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Spatial close-kin mark-recapture methods to estimate dispersal parameters and barrier strength for mosquitoes
Fig 6
Estimates of barrier strength and daily staying probability using spatial CKMR methods.
In the first (left) analysis, violin plots depict estimates of mean daily dispersal distance, 
(A), and barrier strength, δ (C), obtained using the spatial CKMR approach for the optimal sampling scheme determined in Sect 3.1, and considering a barrier to movement as depicted in Fig 1D whereby movement to the other side of the barrier is reduced by a factor, δ, in the range [0,0.9]. In the second (right) analysis, violin plots depict estimates of mean daily dispersal distance conditional upon movement, 
(B), and daily staying probability, p0 (D), in the range [0.1,0.9], again obtained using the spatial CKMR approach for the optimal sampling scheme determined in Sect 3.1, and considering a zero-inflated dispersal kernel as described in Eq 2 and depicted in Fig 1B. The simulated metapopulation consists of a 19-by-19 grid of households each inhabited by 25 adult Ae. aegypti at equilibrium with bionomic parameters listed in Table 1. Boxes depict median and interquartile ranges of 100 simulation-and-analysis replicates for each scenario, thin lines represent 5% and 95% quantiles, points represent outliers, and kernel density plots are superimposed. True parameter values are depicted by triangles, or by a dotted line when they are consistent across all cases.
doi: https://doi.org/10.1371/journal.pcbi.1013713.g006