6 research outputs found
Field data: Survival curves of CRTs at small timescales.
<p>Survival curves of CRTs obtained for MBP ranging between 10 up to 120 min by intervals of 10 min (see legend) in semi-logarithmic scale for (A) bigeye scad (B) yellowfin tuna.</p
Experimental data.
<p>Columns from left to right: species, number of tagged individuals, number of instrumented FADs, location and acoustic telemetry equipment (receiver and tag type) for the two datasets used in this study.</p
Scenario 1: Renormalized sum of squared residuals.
<p>The rSSR is calculated among pairs of survival curves of residence times with Δ<sub><i>MBP</i></sub> = 100 and different values of the noise parameter: <i>η</i> = 1 (A), 0.1 (B), 0.01 (C) and 0.005 (D). The vertical dashed line represent the MBP value at which the survival curve of residence times mostly approached the theoretical curve. Insets: the same in semi-logarithmic scale.</p
Field data: Survival curves of CRTs at large timescales.
<p>Survival curves calculated for <i>MBP</i><sub><i>n</i></sub> ranging between 2 h and 48 h (see caption) for (A) Bigeye scad (B) yellowfin tuna.</p
Scenario 1: Survival curves of CRTs.
<p>The survival curves are obtained for different values of <i>MBP</i><sub><i>n</i></sub> (see legend) and different noise parameters: <i>η</i> = 1 (A), 0.1 (B), 0.01 (C) and 0.005 (D). The <i>y</i> axis is in logarithmic scale. Black line: the theoretical survival curve of residence times <i>S</i>(<i>t</i>) = exp(−0.0002<i>t</i>).</p
Scenario 3: Survival curves of CRT and renormalized sum of squared residuals.
<p>(A) Survival curves of CRT obtained for different values of <i>MBP</i><sub><i>n</i></sub> (see legend). (B) rSSR in semi-logarithmic scale calculated among pairs of survival curves of residence times with variable Δ<sub><i>MBP</i></sub> (see legend). Inset: the same in semi-logarithmic scale.</p