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dc.contributor.author
Luzzatto, Diego  
dc.date.available
2022-12-02T12:22:14Z  
dc.date.issued
2021  
dc.identifier.citation
A new method to assess natural history traits of seahorses; SingBio2021; Guangzhou; China; 2021  
dc.identifier.uri
http://hdl.handle.net/11336/179951  
dc.description.abstract
We developed a non-invasive method to record multiple measurements and data of seahorses in situ. We tested this development over individuals from the southernmost population of Hippocampus patagonicus at San Antonio Bay, northern Patagonia, Argentina. We captured individuals along transects of 1000m parallel to the coast, determined their geographical position, sex and maturity stage. We fastened each by its trunk to a scaled measuring board with an elastic band and took a photograph at a distance of 50 cm (to measure the standard length) and a close-up one of the head to individually identify the specimens by face recognition later at the lab. We obtained a left and right set of photographs of every seahorse. After this manipulation (1-2 minutes), we released the animals and recorded the escaping behavior: 1. fast escape; 2. attachment to a near holdfast or 3. catatonic behavior. 94% of the animals recovered immediately after manipulation (1 and 2 behavior). We analyzed the photographs and identified individuals by face recognition taking into account bright spots, head contour and sex. We compared over 767 photographs and were able to recognize 112 individuals recaptured. We also compared this new technique of face recognition to the standard VIE tagging method in a total of 100 animals. Both techniques showed similar effectiveness recognizing individuals. In addition, this new method resulted inexpensive and not invasive while requiring standard equipment and training.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Syngbio  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Conservation  
dc.subject
Management  
dc.subject
Population Ecology  
dc.subject
Tagging  
dc.subject.classification
Biología Marina, Limnología  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
A new method to assess natural history traits of seahorses  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2022-11-01T22:12:51Z  
dc.journal.pais
China  
dc.journal.ciudad
Guangzhou  
dc.description.fil
Fil: Luzzatto, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.scsio.cas.cn/news/tztg/202104/W020210425353327213772.pdf  
dc.conicet.rol
Autor  
dc.coverage
Internacional  
dc.type.subtype
Congreso  
dc.description.nombreEvento
SingBio2021  
dc.date.evento
2021-05-17  
dc.description.ciudadEvento
Guangzhou  
dc.description.paisEvento
China  
dc.type.publicacion
Book  
dc.description.institucionOrganizadora
South China Sea Institute of Oceanology  
dc.source.libro
Creatures of Mystery: Global Research on Syngnathidae Fishes  
dc.date.eventoHasta
2021-05-21  
dc.type
Congreso