37 research outputs found

    Spatial variation in the UK otters’ diet.

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    Points represent 9 sampling locations for which diet composition was available, colours indicate genetic clusters. The first two axes of a Principal Component Analysis for percentage of seven prey categories (marine fish, freshwater fish, crustaceans, amphibians, reptiles, birds, mammals, and insects) are used to summarise variation between points. (DOCX)</p

    Box plots of cranial size variation (= lnCS) in males and females from three genetic clusters.

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    Horizontal lines within each box indicate the median, upper and lower limits the inter-quartile range, while ‘whiskers’ indicate the minimum and the maximum.</p

    Location of anatomical landmarks collected on 3D models of otter skulls.

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    Landmarks are defined as follows: 1 = Superior premaxilla; 2 = nasal suture; 3–10 = lacrimal; 4–9 = postorbital process 5–11; = zygomatic arch;6–8 = mastoid process; 7 = intersection of temporal line and sagittal crest; 12 = prosthion; 13–30 = premaxilla and nasal bone suture; 14–29 = canine alveoli; 15–28 = carnassial alveoli; 16–27 = carnassial alveoli; 17–26 = toothrow; 18–25 = palatine; 19–24 = pterygoid; 20–23 = glenoid cavity; 21–22 = occipital condyle.</p

    Geographic origin of otter skulls.

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    Coloured points represent sampling locations. Sample size for each locality is reported in S1 Table. Country Boundaries was downloaded from www.data.gov.uk under the Open Government Licence v3.0.</p

    Number of skull specimens analysed.

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    The sample is partitioned by sex for each geographic location. (DOCX)</p

    Skull shape variation along the first two Principal Component axes (PCs) of Procrustes coordinates.

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    A. Colours indicate different genetic clusters, Scotland (green), Shetland (blue) and Wales (red). Individual data points represent the first two component scores from PCA carried out on all shape variables. B. A visualisation of the 3D contours related to extremes of variation along PC1, which describes 16.88% of the variance.</p

    Thirty 3D landmarks.

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    (XLSX)</p

    Definition of climatic variables used in the analyses.

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    Abbreviations: BIO = bioclimate. (DOCX)</p

    Spatial variation in climate between the three genetic clusters.

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    Each point is a location along Principal Component scores (PC1 vs PC2) from a PCA on the six bioclimatic variables overlapped in a bi-plot. PC1 and PC2 are primarily influenced by Temperature Seasonality (BIO4) and Precipitation of Driest Month (BIO 14), respectively. (DOCX)</p
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