Abstract
Photo-identification has been proven to be a successful individual recognition tool in seahorse species (e.g., long-snout seahorse Hippocampus reidi (Ginsburg, 1933) and long-snouted seahorse Hippocampus guttulatus (Cuvier, 1829)). Its use was deemed valuable for the assessment of wild populations and to understand variations in abundance over time when capture-recapture methods are needed. In this study, a computer software with a pattern recognition algorithm (I3S® Contour 3.0) was used for individual identification of short-snouted seahorses Hippocampus hippocampus (Linnaeus 1758) in the laboratory. Using this methodology, differences in the shape of each individual’s coronet were tested as a unique and distinguishable characteristic. Two different contours were used as reference and tested to assess the effectiveness of this method in individual identification. A total of 94 captive-bred H. hippocampus, 45 adults (> 1 year old) and 49 young adults (4 months old), were tested. Positive matches were obtained in 55.1 % of the young adults and 84.4 % of the adults using contour 1; and in 77.6 % and 97.8 % for young adults and adults, respectively, using contour 2. All un-matched photos were later successfully matched by visual comparison, using additional traits (e.g., spot patterns) and gender. This methodology yielded very promising results and could be further used in wild individuals to allow population size estimates.
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This study received Portuguese national funds from FCT - Foundation for Science and Technology through project UID/Multi/04326/2019.
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This study received Portuguese national funds from FCT - Foundation for Science and Technology through project UID/Multi/04326/2019.
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Correia, M., Antunes, D., Andrade, J.P. et al. A crown for each monarch: a distinguishable pattern using photo‐identification. Environ Biol Fish 104, 195–201 (2021). https://doi.org/10.1007/s10641-021-01075-x
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DOI: https://doi.org/10.1007/s10641-021-01075-x