9 research outputs found
Predicted daily distance travelled by sheep (sh) and red deer (d) in summer (s) and winter (w) of the mixed linear model in Table 1.
<p>Boxes are colour coded following labels of x-axis.</p
As Fig 6 but including and not including the effect of thermal stress in summer and winter.
<p>As <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142707#pone.0142707.g006" target="_blank">Fig 6</a> but including and not including the effect of thermal stress in summer and winter.</p
Monthly predictability (root mean square error RMS) of the movement in sheep and red deer.
<p>The plot reports systematic bias to those errors, which reflects an average global behaviour inferred from the data.</p
Winter and summer thermal stress in different vegetation types (bracken: pink; dry heath: yellow; grass: green, rushes: light blue; wet heath: blue, in deer (a) and sheep (b) across a sample of 90 consecutive hours within season.
<p>The group of lines with higher values within species is the winter season.</p
Coefficients of the linear mixed-effects model on daily distance travelled (m) by sheep and deer in summer (May to November) and winter (December and January to April) and variance accounted for random and fixed effects.
<p>Reference levels are sheep and summer.</p
Experimental plot, vegetation types and situation of the meteorological stations and heated mechanical models used in this study.
<p>Main plot: crosses mark the positions of the meteorological stations used to create the surfaces of meteorological variables. Inset (a) indicates the position of the experimental plot and the near-by facilities used in this study, the plot where the mechanical heated models were deployed (solid square) and the meteorological station of Birnie Hill (solid inverted triangle). Inset (b) grayscale three-dimensional image representation of the experimental plot (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142707#sec002" target="_blank">Methods</a> for more details).</p
Computational estimation of the direction and strength of interaction (negative values is attraction, positive values is repulsion) of an animal as a function of the distance to its target neighbours.
<p>For simplicity we only include the closest (red line) and the six closest (blue line) neighbours.</p
As Fig 6 but including the effect of vegetation type.
<p>For simplicity we included only interactions with the nearest neighbour.</p
Pairwise comparisons between the predicted daily distances travelled by sheep and red deer in summer and winter (Fig 3 and Table 1).
<p>Significant levels after Bonferroni correction. Acronyms as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142707#pone.0142707.g003" target="_blank">Fig 3</a>.</p