The use of a non-invasive tool for capture-recapture studies on a seahorse Hippocampus guttulatus population
In this study, the spot pattern in Hippocampus guttulatus was analysed using a computer programme algorithm that allowed individual comparison. This methodology was first tested in a controlled environment using 51 adult and 55 juvenile H. guttulatus. Positive matches were obtained in 86·3 and 83·6%...
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| Veröffentlicht in: | Journal of fish biology 2014-04, Vol.84 (4), p.872-884 |
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| container_title | Journal of fish biology |
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| creator | Correia, M. Palma, J. Koldewey, H. Andrade, J. P. |
| description | In this study, the spot pattern in Hippocampus guttulatus was analysed using a computer programme algorithm that allowed individual comparison. This methodology was first tested in a controlled environment using 51 adult and 55 juvenile H. guttulatus. Positive matches were obtained in 86·3 and 83·6% of the adults and juveniles, respectively. In a second experiment, monthly surveys were carried out in five selected locations in the Ria Formosa Lagoon, south Portugal, over the course of a year and a total of 980 photographs were analysed. Photographed H. guttulatus were re‐sighted one to nine times during the course of the survey period with an overall re‐sight record of over 30%. Photo‐identification was therefore shown to be a useful tool for non‐invasive mark–recapture studies that can be successfully used to survey the population abundance of H. guttulatus aged 6 months or older in consecutive years. This could be of great value when considering the assessment of H. guttulatus populations and understanding changes over time. |
| doi_str_mv | 10.1111/jfb.12304 |
| format | Article |
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P.</creator><creatorcontrib>Correia, M. ; Palma, J. ; Koldewey, H. ; Andrade, J. P.</creatorcontrib><description>In this study, the spot pattern in Hippocampus guttulatus was analysed using a computer programme algorithm that allowed individual comparison. This methodology was first tested in a controlled environment using 51 adult and 55 juvenile H. guttulatus. Positive matches were obtained in 86·3 and 83·6% of the adults and juveniles, respectively. In a second experiment, monthly surveys were carried out in five selected locations in the Ria Formosa Lagoon, south Portugal, over the course of a year and a total of 980 photographs were analysed. Photographed H. guttulatus were re‐sighted one to nine times during the course of the survey period with an overall re‐sight record of over 30%. Photo‐identification was therefore shown to be a useful tool for non‐invasive mark–recapture studies that can be successfully used to survey the population abundance of H. guttulatus aged 6 months or older in consecutive years. This could be of great value when considering the assessment of H. guttulatus populations and understanding changes over time.</description><identifier>ISSN: 0022-1112</identifier><identifier>EISSN: 1095-8649</identifier><identifier>DOI: 10.1111/jfb.12304</identifier><identifier>PMID: 24502668</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Algorithms ; Animal Identification Systems ; Animals ; Conservation of Natural Resources - methods ; Hippocampus ; Image Processing, Computer-Assisted ; long-snouted seahorse ; mark-recapture ; photo-identification ; Photography ; population abundance ; Population Density ; Portugal ; Smegmamorpha ; Software</subject><ispartof>Journal of fish biology, 2014-04, Vol.84 (4), p.872-884</ispartof><rights>2014 The Fisheries Society of the British Isles</rights><rights>2014 The Fisheries Society of the British Isles.</rights><rights>Journal of Fish Biology © 2014 The Fisheries Society of the British Isles</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4244-2ee1ddb9932d5bfb9355b59e3899651389e0546727a581f62caf86b62d94a0363</citedby><cites>FETCH-LOGICAL-c4244-2ee1ddb9932d5bfb9355b59e3899651389e0546727a581f62caf86b62d94a0363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjfb.12304$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjfb.12304$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24502668$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Correia, M.</creatorcontrib><creatorcontrib>Palma, J.</creatorcontrib><creatorcontrib>Koldewey, H.</creatorcontrib><creatorcontrib>Andrade, J. P.</creatorcontrib><title>The use of a non-invasive tool for capture-recapture studies on a seahorse Hippocampus guttulatus population</title><title>Journal of fish biology</title><addtitle>J Fish Biol</addtitle><description>In this study, the spot pattern in Hippocampus guttulatus was analysed using a computer programme algorithm that allowed individual comparison. This methodology was first tested in a controlled environment using 51 adult and 55 juvenile H. guttulatus. Positive matches were obtained in 86·3 and 83·6% of the adults and juveniles, respectively. In a second experiment, monthly surveys were carried out in five selected locations in the Ria Formosa Lagoon, south Portugal, over the course of a year and a total of 980 photographs were analysed. Photographed H. guttulatus were re‐sighted one to nine times during the course of the survey period with an overall re‐sight record of over 30%. Photo‐identification was therefore shown to be a useful tool for non‐invasive mark–recapture studies that can be successfully used to survey the population abundance of H. guttulatus aged 6 months or older in consecutive years. This could be of great value when considering the assessment of H. guttulatus populations and understanding changes over time.</description><subject>Algorithms</subject><subject>Animal Identification Systems</subject><subject>Animals</subject><subject>Conservation of Natural Resources - methods</subject><subject>Hippocampus</subject><subject>Image Processing, Computer-Assisted</subject><subject>long-snouted seahorse</subject><subject>mark-recapture</subject><subject>photo-identification</subject><subject>Photography</subject><subject>population abundance</subject><subject>Population Density</subject><subject>Portugal</subject><subject>Smegmamorpha</subject><subject>Software</subject><issn>0022-1112</issn><issn>1095-8649</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkc9PFDEYhhuigRU98A-QJl70MNDfMz0icVkJYExQjk1n5hvoMjsd2ynKf2-XXTiYmNjL9x6e90maF6EDSo5ofsfLrj6ijBOxg2aUaFlUSuhXaEYIY0UG2B56E-OSEKK55rtojwlJmFLVDPXXd4BTBOw7bPHgh8INDza6B8CT9z3ufMCNHacUoAiwTThOqXUQsR9yKYK98yErFm4cfWNXY4r4Nk1T6u2U4-jHdXJ-eIted7aP8G5799H3-efr00Vx8fXsy-nJRdEIJkTBAGjb1lpz1sq6qzWXspYaeKW1kjQfIFKokpVWVrRTrLFdpWrFWi0s4Yrvow8b7xj8zwRxMisXG-h7O4BP0VBJVSl5yeX_oEzKUog1-v4vdOlTGPJH1hSVXGlKMvVxQzXBxxigM2NwKxseDSVmvZbJa5mntTJ7uDWmegXtC_k8TwaON8Av18Pjv03mfP7pWVlsGi5O8PulYcO9USUvpbm5OjPzhfxGLzkxP_gfOMasTw</recordid><startdate>201404</startdate><enddate>201404</enddate><creator>Correia, M.</creator><creator>Palma, J.</creator><creator>Koldewey, H.</creator><creator>Andrade, J. 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| subjects | Algorithms Animal Identification Systems Animals Conservation of Natural Resources - methods Hippocampus Image Processing, Computer-Assisted long-snouted seahorse mark-recapture photo-identification Photography population abundance Population Density Portugal Smegmamorpha Software |
| title | The use of a non-invasive tool for capture-recapture studies on a seahorse Hippocampus guttulatus population |
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