Appendix D. An example of the R code for package simuPOP, (Peng and Kimmel 2005) for simulating finite-island migration between seven Aedes aegypti populations.

An example of the R code for package simuPOP, (Peng and Kimmel 2005) for simulating finite-island migration between seven Aedes aegypti populations

Appendix C. Simulation results for the finite-island gene flow between central Queensland Aedes aegypti populations with different number of migrants per generation.

Simulation results for the finite-island gene flow between central Queensland Aedes aegypti populations with different number of migrants per generation

Appendix B. Supplementary figure for the proposed models of connectivity via major highways between towns in Queensland, Australia, used in the isolation-by-highway distance analysis.

Supplementary figure for the proposed models of connectivity via major highways between towns in Queensland, Australia, used in the isolation-by-highway distance analysis

Best linear models explaining average daytime temperature buffering (compared to the ground-below-canopy microhabitat in the same location) for grass-tree and leaf-litter microhabitats, including only significant variables.

<p>Best linear models explaining average daytime temperature buffering (compared to the ground-below-canopy microhabitat in the same location) for grass-tree and leaf-litter microhabitats, including only significant variables.</p

Appendix A. Supplementary table with Jost’s D (Jost 2008) values of actual differentiation and the corresponding P values for Aedes aegypti samples from 10 sites in Queensland, Australia.

Supplementary table with Jost’s D (Jost 2008) values of actual differentiation and the corresponding P values for Aedes aegypti samples from 10 sites in Queensland, Australia

Best linear models explaining average daytime temperature buffering (compared to the ground-below-canopy microhabitat in the same location) for grass-tree and leaf-litter microhabitats, including only significant variables.

<p>Best linear models explaining average daytime temperature buffering (compared to the ground-below-canopy microhabitat in the same location) for grass-tree and leaf-litter microhabitats, including only significant variables.</p

Supplement 1. Source genotyping data with nine microsatellite loci scored in Aedes aegypti samples from Queensland, Australia.

<h2>File List</h2><div> <p><a href="final_Rasic_et_al_MS#13-1305R1_Supplement_1.txt">final_Rasic_et_al_MS#13-1305R1_Supplement_1.txt</a> (MD5: dda0cf9829bbf30d992229588b2efd73)</p></div><h2>Description</h2><div> <p>final_Rasic_et_al_MS#13-1305R1_Supplement_1.txt - Microsatellite genotyping data (in a tab delimited file format) for eight loci scored in 274 individuals from ten <i>Aedes aegypti </i>population in Queensland, Australia. Individual names listed in the first column and the population name in the second column. Fluorescent label color and microsatellite name are listed in the first row. Numbers represent fragment (allele) sizes as scored in GeneMarkerV2.2.0 (Softgenetics, State College, PA) with a LIZ 500 size standard.</p> </div

Appendix E. Breeding container parameters as used in Aedes aegypti population modeling using CIMSiM (Focks et al. 1993).

Breeding container parameters as used in Aedes aegypti population modeling using CIMSiM (Focks et al. 1993)

Average daytime temperature buffering (compared to the ground-below-canopy microhabitat in the same location) provided by eight grass-tree (symbols, dashed trendlines) and eleven leaf-litter (shapes, dotted trendlines) microhabitats over 92 days during the 2015/2016 summer in vegetation fragments in the Fleurieu Peninsula.

<p>Regression lines were fitted using the method of least squares, assuming a linear relationship. There was no significant difference between the means of the slopes in the two microhabitats (<i>t</i> = 0.894; d.f. = 17; <i>p</i> = 0.192).</p

Average, mean variation and mean daytime and nighttime moderation (<i>italics</i>: <i>day; night</i>) of percentage relative humidity (with standard deviation) for three microhabitats (ground-below-canopy, under grass-tree, in leaf-litter) of 14 study sites on the Fleurieu Peninsula, South Australia

<p>Average, mean variation and mean daytime and nighttime moderation (<i>italics</i>: <i>day; night</i>) of percentage relative humidity (with standard deviation) for three microhabitats (ground-below-canopy, under grass-tree, in leaf-litter) of 14 study sites on the Fleurieu Peninsula, South Australia</p