A meta-analysis of the factors influencing development rate variation in Aedes aegypti (Diptera: Culicidae)
1 Department of Biology, Emory University, 1510 Clifton Road NE, Atlanta, GA 30322, USA
2 Dipartimento di Medicina Sperimentale e Scienze Biochimiche, Sezione di Microbiologia, Edificio B, 3 Piano, Via Gambuli, 06132 Perugia, Italy
BMC Ecology 2014, 14:3 doi:10.1186/1472-6785-14-3Published: 5 February 2014
Additional file 1: Table S1:
Online database searched in December 2011 for research papers pertaining to Aedes aegypti development rate estimates under various environmental conditions including temperature, diet and intraspecific rearing density. Databases are ordered based on specificity to mosquito literature from broad to specific. Table S2. Full bibliography for the 65 studies included in the factors influencing development rate and survival of Aedes aegypti. Table S3. Linear regression parameter estimates for studies that experimentally examined the relationship between development rate and temperature for the stages from first instar to adult emergence. Table S4. Linear regression parameter estimates for studies that experimentally examined the relationship between the development rate and temperature for the life stages from hatch to pupation.
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Additional file 2: Figure S1:
Meta-analysis of the effect of temperature, i.e. B1- the slope of the regression of temperature and development rate from hatch to emergence. (A) Forest plot of best model with random effect of publication author. (B) Funnel plot corresponding to plot (A). The weight of the study is indicated by the size of the square and the diamond indicates the overall effect estimate from the random effects model. Squares represent effect estimates of individual studies. Square size represents the weight given to the study in the meta-analysis, and the horizontal lines represent 95% confidence intervals. Estimated values and confidence intervals are written to the right of the plot. In the funnel plots, dots represent the residuals of the publication authors corresponding with the best model and their associated standard error. When the residuals fit within the light cone, it implies that heterogeneity in the main effect is successfully accounted for by the model.
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Additional file 3: Figure S2:
Meta-analysis of the effect of temperature, i.e. B1- the slope of the regression of temperature and development rate from hatch to pupation. (A) Forest plot of best model with random effect of publication author. (B) Funnel plot corresponding to plot (A). See Figure S1 caption.
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