2006
DOI: 10.4269/ajtmh.2006.74.786
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Phenotypic Plasticity and Geographic Variation in Thermal Tolerance and Water Loss of the Tsetse Glossina Pallidipes (Diptera: Glossinidae): Implications for Distribution Modelling

Abstract: Using the tsetse, Glossina pallidipes, we show that physiologic plasticity (resulting from temperature acclimation) accounts for among-population variation in thermal tolerance and water loss rates. Critical thermal minimum (CT(Min)) was highly variable among populations, seasons, and acclimation treatments, and the full range of variation was 9.3 degrees C (maximum value = 3.1 x minimum). Water loss rate showed similar variation (max = 3.7 x min). In contrast, critical thermal maxima (CT(Max)) varied least am… Show more

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Cited by 135 publications
(161 citation statements)
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“…Most studies use cooling rates between 0.1 and 0.25 °C/min for determining CT min (e.g. Kleynhans et al, 2014;MacMillan and Sinclair, 2011b;Terblanche et al, 2006). Note that there has been considerable recent debate on the 'correct' rate for measuring high temperature tolerances Santos et al, 2011;Terblanche et al, 2007;Terblanche et al, 2011), and it is therefore imperative to clearly report the conditions when describing CT min experiments.…”
Section: Chill Coma Onset (Ct Min )mentioning
confidence: 99%
“…Most studies use cooling rates between 0.1 and 0.25 °C/min for determining CT min (e.g. Kleynhans et al, 2014;MacMillan and Sinclair, 2011b;Terblanche et al, 2006). Note that there has been considerable recent debate on the 'correct' rate for measuring high temperature tolerances Santos et al, 2011;Terblanche et al, 2007;Terblanche et al, 2011), and it is therefore imperative to clearly report the conditions when describing CT min experiments.…”
Section: Chill Coma Onset (Ct Min )mentioning
confidence: 99%
“…Forecasts of the effects of climate change have focused on the way in which species' ranges will be altered and how extinction is affected by rapid change and habitat loss ( Thomas et al 2004). The human health consequences of changes in vector distributions have been an especially significant and controversial component of these forecasts (Rogers & Randolph 2000;Terblanche et al 2006). Much of the modelling work is based on habitat models that seek to understand the present correlations among environmental factors and species abundances or distributions.…”
Section: Climate Changementioning
confidence: 99%
“…Such changes have been convincingly documented for butterflies in Britain, Australia, and North America (Dennis & Hardy, 1999;Hill et al, 1999;Beaumont & Hughes, 2002;Oberhauser & Peterson, 2003;Crozier & Dwyer, 2006), ground beetles (Eyre et al, 2004), cicadas species (Robertson et al, 2004), tsetse flies (Terblanche et al, 2006), and ticks (Wilkinson, 1967;Lindgren et al, 2000;Estrada-Pena, 2002). Analyses of how agricultural pest insects will respond to climate change are surprisingly rare (but see Coviella & Trumble, 1999;McKenney et al, 2003;Gevrey & Worner, 2006).…”
Section: Introductionmentioning
confidence: 99%