There was an error published in J. Exp. Biol. 219, pp. 2137-2144.

The scaling of the y-axes in the insets of Figs 2 and 3 is incorrect. The corrected figures are printed below.

Fig. 2.
Fig. 2. Body temperature (Tb) of Burchell's sandgrouse (Pterocles burchelli) as a function of air temperature (Ta). Data for individuals that reached their thermal endpoint are shown as open circles. The solid line is the segmented linear regression model that provided the best fit; the relationship between Tb and Ta>34.5°C is Tb=0.241Ta+30.58 (r2 for segmented regression model=0.818). Inset shows mean±s.d. Tb for Ta bins of 2°C. For each bin, n=5–12, except at Ta=∼56°C, where n=3.
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Body temperature (Tb) of Burchell's sandgrouse (Pterocles burchelli) as a function of air temperature (Ta). Data for individuals that reached their thermal endpoint are shown as open circles. The solid line is the segmented linear regression model that provided the best fit; the relationship between Tb and Ta>34.5°C is Tb=0.241Ta+30.58 (r2 for segmented regression model=0.818). Inset shows mean±s.d. Tb for Ta bins of 2°C. For each bin, n=5–12, except at Ta=∼56°C, where n=3.

Fig. 2.
Fig. 2. Body temperature (Tb) of Burchell's sandgrouse (Pterocles burchelli) as a function of air temperature (Ta). Data for individuals that reached their thermal endpoint are shown as open circles. The solid line is the segmented linear regression model that provided the best fit; the relationship between Tb and Ta>34.5°C is Tb=0.241Ta+30.58 (r2 for segmented regression model=0.818). Inset shows mean±s.d. Tb for Ta bins of 2°C. For each bin, n=5–12, except at Ta=∼56°C, where n=3.
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Body temperature (Tb) of Burchell's sandgrouse (Pterocles burchelli) as a function of air temperature (Ta). Data for individuals that reached their thermal endpoint are shown as open circles. The solid line is the segmented linear regression model that provided the best fit; the relationship between Tb and Ta>34.5°C is Tb=0.241Ta+30.58 (r2 for segmented regression model=0.818). Inset shows mean±s.d. Tb for Ta bins of 2°C. For each bin, n=5–12, except at Ta=∼56°C, where n=3.

Fig. 3.
Fig. 3. Evaporative water loss (EWL) in Burchell's sandgrouse (Pterocles burchelli) increased rapidly above an inflection point at an air temperature (Ta) of 42.9°C. Data for individuals that reached their thermal endpoint are shown as open circles. The solid line is the segmented linear regression model that provided the best fit; the relationship between EWL and Ta>42.9°C is EWL=0.445Ta–17.76 (r2 for segmented regression model=0.843). Inset shows mean±s.d. mass-specific EWL for Ta bins of 2°C. For each bin, n=5–12, except at Ta=∼56°C, where n=3.
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Evaporative water loss (EWL) in Burchell's sandgrouse (Pterocles burchelli) increased rapidly above an inflection point at an air temperature (Ta) of 42.9°C. Data for individuals that reached their thermal endpoint are shown as open circles. The solid line is the segmented linear regression model that provided the best fit; the relationship between EWL and Ta>42.9°C is EWL=0.445Ta–17.76 (r2 for segmented regression model=0.843). Inset shows mean±s.d. mass-specific EWL for Ta bins of 2°C. For each bin, n=5–12, except at Ta=∼56°C, where n=3.

Fig. 3.
Fig. 3. Evaporative water loss (EWL) in Burchell's sandgrouse (Pterocles burchelli) increased rapidly above an inflection point at an air temperature (Ta) of 42.9°C. Data for individuals that reached their thermal endpoint are shown as open circles. The solid line is the segmented linear regression model that provided the best fit; the relationship between EWL and Ta>42.9°C is EWL=0.445Ta–17.76 (r2 for segmented regression model=0.843). Inset shows mean±s.d. mass-specific EWL for Ta bins of 2°C. For each bin, n=5–12, except at Ta=∼56°C, where n=3.
View largeDownload slide

Evaporative water loss (EWL) in Burchell's sandgrouse (Pterocles burchelli) increased rapidly above an inflection point at an air temperature (Ta) of 42.9°C. Data for individuals that reached their thermal endpoint are shown as open circles. The solid line is the segmented linear regression model that provided the best fit; the relationship between EWL and Ta>42.9°C is EWL=0.445Ta–17.76 (r2 for segmented regression model=0.843). Inset shows mean±s.d. mass-specific EWL for Ta bins of 2°C. For each bin, n=5–12, except at Ta=∼56°C, where n=3.

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© 2016. Published by The Company of Biologists Ltd
2016