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Hierarchical dendrogram using Ward's clustering method (a), and PLS-DA regression score plot (b), correlation circle plot (c) and loading plots (d, e) of anthropogenic disturbance parameters on seasonal roost patterns. The score plot visualises the component scores, and prediction areas of each roost category. The correlation circle plot displays the Pearson correlation between the variables and latent components. The loading plots show the loading weights (contributions) of each variable on each component. The most important variables (according to coefficient values) are ordered from bottom to top. Colours indicate the seasonal roost pattern where the mean value of this variable is maximal. Roost Height: roosting height; Light: light intensity; Noise: noise level; DistRoad/DistTree/DistLight/DistBuild: distance to the nearest road/tree/light/building
Figures of the Article
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Map showing the seven roost sites (yellow circles with roost names) among those high-rises and the two adjacent urban parks (Map source: Google Earth image © 2019)
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Bar plots of roosting days (a) and violin plots of roosting flock size (b) of each roost site. Different letters in (b) denote significant differences of roosting flock size between roost sites (Kruskal-Wallis test followed by pairwise Wilcoxon rank sum-tests; p adjusted by Benjamini-Hochberg method)
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A mosaic plot (a) with residual-based shading of land use types versus roost sites, and a ternary diagram (b) of the proportion of land use types within a 50-m circular plot of roost sites. In the mosaic plot, blue colour indicates the observed value is higher than the expected value, while red colour denotes the observed value is lower than the expected value
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Hierarchical dendrogram using Ward's clustering method (a), and PLS-DA regression score plot (b), correlation circle plot (c) and loading plots (d, e) of anthropogenic disturbance parameters on seasonal roost patterns. The score plot visualises the component scores, and prediction areas of each roost category. The correlation circle plot displays the Pearson correlation between the variables and latent components. The loading plots show the loading weights (contributions) of each variable on each component. The most important variables (according to coefficient values) are ordered from bottom to top. Colours indicate the seasonal roost pattern where the mean value of this variable is maximal. Roost Height: roosting height; Light: light intensity; Noise: noise level; DistRoad/DistTree/DistLight/DistBuild: distance to the nearest road/tree/light/building
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Boxplots of standardised Tmicro of each roost site. Different letters denote significant differences of Tmicro between roost sites (one-way repeated measures ANOVA followed by paired pairwise t-tests; p adjusted by Benjamini-Hochberg method)
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