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Tab. 1 in Estimating population parameters of longsnout seahorses, Hippocampus reidi (Teleostei: Syngnathidae) through mark-recapture

Authors: Siqueira, Alexandre C.; Quimbayo, Juan P.; Cantor, Mauricio; Silveira, Rosana B.; Daura-Jorge, Fábio G.;

Tab. 1 in Estimating population parameters of longsnout seahorses, Hippocampus reidi (Teleostei: Syngnathidae) through mark-recapture

Abstract

Tab. 1. Robust Design candidate models to estimate survival probability (ϕ), capture probability (p) and temporary emigration probability (γ) for Hippocampus reidi. Models are ranked by the lowest quasi-Akaike’s Information Criterion with a 2 nd- order correction for small sample sizes (QAICc values). Notation: (.) constant; (t) time-dependence; (g) group effect; (p = c) no recapture effect; (γ”= γ’=0) no emigration models; (γ”= γ’) random emigration models; (γ” γ’) Markovian emigration models.ModelQAICcQΔAICcAICc WeightsLikelihoodParametersQDeviance1) ɸ(.) γ’(.)=γ”(.) p (ts)= c (ts)271.670.000.8821.00036268.352) ɸ(g) γ’(.)=γ”(.) p (ts)= c (ts)277.335.650.0520.05939266.753) ɸ(.) γ’(.)γ”(.) p (ts)= c (ts)278.056.370.0360.04139267.474) ɸ(.) γ’(.)= γ”(.)=0 p (ts)= c (ts)279.007.320.0220.02537273.275) ɸ(.) γ’(g) γ”(g) p (ts)= c (ts)281.8410.160.0050.00641266.366) ɸ(t) γ’(.)= γ”(.) p (ts)= c (ts)285.1513.470.0010.00142267.197) ɸ(g*t) γ’(.)= γ”(.) p (ts)= c (ts)294.2722.600.0000.00047263.768) ɸ(.) γ’(.)=γ”(.) p (ts) c (ts)304.4232.750.0000.00056250.449) ɸ(.) γ’(.)= γ”(.) p (g*ts)= c (g*ts)321.4349.750.0000.00062251.1310) ɸ(.) γ’(.)= γ”(.) p (g*ts) c (g*ts)409.69138.010.0000.00098228.70

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