Fig. 4: Probability of black skin occurrence estimated by MAXENT56 using solar radiation (kJm-2day-1), average precipitation (mm), and average maximum temperature (°C) as predictor values in passerines (A) and non-passerines (B). | Nature Communications

Fig. 4: Probability of black skin occurrence estimated by MAXENT56 using solar radiation (kJm-2day-1), average precipitation (mm), and average maximum temperature (°C) as predictor values in passerines (A) and non-passerines (B).

From: Exposure to UV radiance predicts repeated evolution of concealed black skin in birds

Fig. 4

Additional panes reflect the difference of the predicted black skin probabilities in relation to UV radiation in passerines (c) and non-passerines (d); The difference of predicted probabilities and relative maximum temperature (maximum temperature/maximal maximum temperature value) in passerines (e) and non-passerines (f); The difference of predicted probabilities and relative precipitation (precipitation/maximal precipitation value) in passerines (g) and non-passerines (h); The relative bird biodiversity (bird biodiversity/maximal bird biodiversity) (i) and the distribution of black skin colour in humans (j) (Adapted from Chaplin40). The darkness gradients in a, b and j indicate the probability of black skin being present: high probability regions are dark, low probability regions are white. In bd values near 0 (white) indicate a good fit between predictor value and black skin probability while non-zero values indicate increasing tendencies to a mismatch between predictor and predictor indicating that another variable contributes more to the black skin prediction model. All climatic variables were yearly averaged over a span of 30 years.

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