7 research outputs found

    Candidate model ranking based on QIC for each period of the day and the year.

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    <p>Models were evaluated using conditional logistic regressions. Only models with ΔQIC≤6 are presented. Number of parameter (K), log-likelihood (LL), difference in QIC values (ΔQIC) and weight (ωi) are given. Model performance was assessed with a Spearman rank correlation (rs±sd). Elevation variables were included in all models tested and models without interactions (i.e. densities of clearcuts edges and roads) are identified with a *.</p

    Coefficient estimates (ß) and 95% confidence intervals (95% CI) of the independent variables of the most parsimonious models explaining caribou movements for 49 females in Saguenay – Lac-Saint-Jean (Québec, Canada) between 2004 and 2010 at night.

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    *<p>Confidence intervals can be obtained by adding and subtracting the ±95% CI value to its associated β value.</p><p>Informative variables were identified with the 95% CI (i.e. not overlapping zero) when available (if not, noted as ‘<i>n/a</i>’) and are identified in bold letters.</p

    Coefficient estimates (ß) and 95% confidence intervals (95% CI) of the independent variables of the most parsimonious models explaining caribou movements for 49 females in Saguenay – Lac-Saint-Jean (Québec, Canada) between 2004 and 2010 during dusk/dawn.

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    *<p>Confidence intervals can be obtained by adding and subtracting the ±95% CI value to its associated β value.</p><p>Informative variables were identified with the 95% CI (i.e. not overlapping zero) when available (if not, noted as ‘<i>n/a</i>’) and are identified in bold letters.</p

    Number of crossing events.

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    <p>a) 0–5 years old clearcut edge crossings during calving at night, b) 6–20 years old clearcut edge crossings during summer at dusk/dawn, c) regenerating stand edge crossings during calving at dusk/dawn and d) minor road crossings during early winter at dusk/dawn as a function of their respective edge density around the beginning of the step. The figures were obtained by fitting a curve on the mean number of crossings per steps for individual caribou within intervals of 0.5 km/km<sup>2</sup> ranging from 0 to the maximum observed density values, compared to the random steps used in the SSF. We chose four representative examples of typical significant interactions obtained through our analysis (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0077514#pone-0077514-t003" target="_blank">Tables 3</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0077514#pone-0077514-t004" target="_blank">4</a>–5).</p

    Coefficient estimates (ß) and 95% confidence intervals (95% CI) of the independent variables of the most parsimonious models explaining caribou movements for 49 females in Saguenay – Lac-Saint-Jean (Québec, Canada) between 2004 and 2010 during daytime.

    No full text
    *<p>Confidence intervals can be obtained by adding and subtracting the ±95% CI value to its associated β value.</p><p>Informative variables were identified with the 95% CI (i.e. not overlapping zero) when available (if not, noted as <i>‘n/a’</i>) and are identified in bold letters.</p

    Description of variables considered in the conditional logistic regressions explaining caribou relative movement probabilities in relation to disturbances for 49 female caribou in Saguenay – Lac-Saint-Jean (Québec, Canada) between 2004 and 2010.

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    <p>Description of variables considered in the conditional logistic regressions explaining caribou relative movement probabilities in relation to disturbances for 49 female caribou in Saguenay – Lac-Saint-Jean (Québec, Canada) between 2004 and 2010.</p

    Relative probability of caribou occurrence.

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    <p>Presented as a function of a) the proportion of the step in 0–5 years old clearcuts, b) the proportion of the step in 6–20 years old clearcuts and c) the proportion of the step in regenerating stands for all significant periods. With each graph is associated the annual frequency distribution of the proportion of the step in each clearcut types. The ŵ(x) values obtained through the logistic regression equations were standardized between 0 and 1 to obtain relative probabilities of observing caribou steps.</p
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