Estimating population parameters of longsnout seahorses, Hippocampus reidi (Teleostei: Syngnathidae) through mark-recapture Author Siqueira, Alexandre C. Laboratório de Biogeografia e Macroecologia Marinha, Departamento de Ecologia e Zoologia, Universidade Federal de Santa Catarina, Edifício Fritz Müller, 2 º andar, 205 B, 88040 - 970 Florianópolis, SC, Brazil. (ACS) alesixbio @ gmail. com (corresponding author) & College of Science and Engineering & ARC Centre of Excellence for Coral Reef Studies, James Cook University, 4811, Townsville, QLD, Australia (current address). alesixbio@gmail.com Author Quimbayo, Juan P. Laboratório de Biogeografia e Macroecologia Marinha, Departamento de Ecologia e Zoologia, Universidade Federal de Santa Catarina, Edifício Fritz Müller, 2 º andar, 205 B, 88040 - 970 Florianópolis, SC, Brazil. (ACS) alesixbio @ gmail. com (corresponding author) & Grupo de Investigación en Ecología de Arrecifes Coralinos. Departamento de Biología, Universidad del Valle, Apartado Aéreo, 25360, Cali, Colombia. (JPQ) quimbayo. j. p @ gmail. com alesixbio@gmail.com&quimbayo.j.p@gmail.com Author Cantor, Mauricio Laboratório de Mamíferos Aquáticos, Departamento de Ecologia e Zoologia, Universidade Federal de Santa Catarina, Edifício Fritz Müller, 2 º andar, 88040 - 970 Florianópolis, SC, Brazil. (MC) m. cantor @ ymail. com, (FGDJ) daurajorge @ gmail. com m.cantor@ymail.com Author Silveira, Rosana B. Laboratório de Aquicultura Marinha, Projeto Hippocampus, Rua da Esperança, 55590 - 000 Ipojuca, PE, Brazil. (RSRBS) labaquac @ yahoo. com labaquac@yahoo.com Author Daura-Jorge, Fábio G. Laboratório de Mamíferos Aquáticos, Departamento de Ecologia e Zoologia, Universidade Federal de Santa Catarina, Edifício Fritz Müller, 2 º andar, 88040 - 970 Florianópolis, SC, Brazil. (MC) m. cantor @ ymail. com, (FGDJ) daurajorge @ gmail. com m.cantor@ymail.com text Neotropical Ichthyology 2017 2017-12-18 15 4 e 170067 e 170067 http://dx.doi.org/10.1590/1982-0224-20170067 journal article 10.1590/1982-0224-20170067 1982-0224 20125790

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.

Model	QAICc	QΔAICc	AICc Weights	Likelihood	Parameters	QDeviance
1) ɸ(.) γ’(.)=γ”(.) p (ts)= c (ts)	271.67	0.00	0.882	1.000	36	268.35
2) ɸ(g) γ’(.)=γ”(.) p (ts)= c (ts)	277.33	5.65	0.052	0.059	39	266.75
3) ɸ(.) γ’(.)γ”(.) p (ts)= c (ts)	278.05	6.37	0.036	0.041	39	267.47
4) ɸ(.) γ’(.)= γ”(.)=0 p (ts)= c (ts)	279.00	7.32	0.022	0.025	37	273.27
5) ɸ(.) γ’(g) γ”(g) p (ts)= c (ts)	281.84	10.16	0.005	0.006	41	266.36
6) ɸ(t) γ’(.)= γ”(.) p (ts)= c (ts)	285.15	13.47	0.001	0.001	42	267.19
7) ɸ(g*t) γ’(.)= γ”(.) p (ts)= c (ts)	294.27	22.60	0.000	0.000	47	263.76
8) ɸ(.) γ’(.)=γ”(.) p (ts) c (ts)	304.42	32.75	0.000	0.000	56	250.44
9) ɸ(.) γ’(.)= γ”(.) p (g*ts)= c (g*ts)	321.43	49.75	0.000	0.000	62	251.13
10) ɸ(.) γ’(.)= γ”(.) p (g*ts) c (g*ts)	409.69	138.01	0.000	0.000	98	228.70