Monitoring rocky reef biodiversity by underwater geo-referenced photoquadrats
- Autores
- Bravo, Gonzalo; Livore, Juan Pablo; Bigatti, Gregorio
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Digital images are an excellent tool for divers to sample hard-bottom subtidal habitats as bottom time is limited and high-definition images can be collected quickly and accurately. The present paper describes a sampling protocol for benthic rocky reef communities using geo-referenced photoquadrats and tests the method over several rocky reefs of Atlantic Patagonia. This method was tested in two localities, separated by 100 km in a semi-enclosed gulf, covering a total of 5800 m of 11 rocky reefs using track roaming transects. The protocol is non-destructive, relatively low-cost and can adequately assess changes in marine habitats as rocky reefs. The implementation of artificial intelligence analysis using human expert training may reduce analysis time and increase the amount of data collected. The present study recommends this sampling methodology for programs aimed at monitoring changes in biodiversity.
Fil: Bravo, Gonzalo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco"; Argentina. Fundación Proyectosub; Argentina
Fil: Livore, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina
Fil: Bigatti, Gregorio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco"; Argentina. Universidad Espíritu Santo; Ecuador. Fundación Proyectosub; Argentina - Materia
-
SCIENTIFIC DIVING
BENTHIC SURVEY
GLOBAL POSITIONING SYSTEM (GPS)
UNDERWATER IMAGING - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/169047
Ver los metadatos del registro completo
id |
CONICETDig_f5b307a4ba710568b946eef6f2c073d3 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/169047 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Monitoring rocky reef biodiversity by underwater geo-referenced photoquadratsBravo, GonzaloLivore, Juan PabloBigatti, GregorioSCIENTIFIC DIVINGBENTHIC SURVEYGLOBAL POSITIONING SYSTEM (GPS)UNDERWATER IMAGINGhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Digital images are an excellent tool for divers to sample hard-bottom subtidal habitats as bottom time is limited and high-definition images can be collected quickly and accurately. The present paper describes a sampling protocol for benthic rocky reef communities using geo-referenced photoquadrats and tests the method over several rocky reefs of Atlantic Patagonia. This method was tested in two localities, separated by 100 km in a semi-enclosed gulf, covering a total of 5800 m of 11 rocky reefs using track roaming transects. The protocol is non-destructive, relatively low-cost and can adequately assess changes in marine habitats as rocky reefs. The implementation of artificial intelligence analysis using human expert training may reduce analysis time and increase the amount of data collected. The present study recommends this sampling methodology for programs aimed at monitoring changes in biodiversity.Fil: Bravo, Gonzalo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco"; Argentina. Fundación Proyectosub; ArgentinaFil: Livore, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; ArgentinaFil: Bigatti, Gregorio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco"; Argentina. Universidad Espíritu Santo; Ecuador. Fundación Proyectosub; ArgentinaSociety for Underwater Technology2021-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/169047Bravo, Gonzalo; Livore, Juan Pablo; Bigatti, Gregorio; Monitoring rocky reef biodiversity by underwater geo-referenced photoquadrats; Society for Underwater Technology; Underwater Technology; 38; 1; 6-2021; 17-241756-05431756-0551CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3723/ut.38.017info:eu-repo/semantics/altIdentifier/url/https://www.ingentaconnect.com/content/sut/unwt/2021/00000038/00000001/art00004;jsessionid=1q2k7fe4wlpks.x-ic-live-01info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:08:54Zoai:ri.conicet.gov.ar:11336/169047instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:08:54.79CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Monitoring rocky reef biodiversity by underwater geo-referenced photoquadrats |
title |
Monitoring rocky reef biodiversity by underwater geo-referenced photoquadrats |
spellingShingle |
Monitoring rocky reef biodiversity by underwater geo-referenced photoquadrats Bravo, Gonzalo SCIENTIFIC DIVING BENTHIC SURVEY GLOBAL POSITIONING SYSTEM (GPS) UNDERWATER IMAGING |
title_short |
Monitoring rocky reef biodiversity by underwater geo-referenced photoquadrats |
title_full |
Monitoring rocky reef biodiversity by underwater geo-referenced photoquadrats |
title_fullStr |
Monitoring rocky reef biodiversity by underwater geo-referenced photoquadrats |
title_full_unstemmed |
Monitoring rocky reef biodiversity by underwater geo-referenced photoquadrats |
title_sort |
Monitoring rocky reef biodiversity by underwater geo-referenced photoquadrats |
dc.creator.none.fl_str_mv |
Bravo, Gonzalo Livore, Juan Pablo Bigatti, Gregorio |
author |
Bravo, Gonzalo |
author_facet |
Bravo, Gonzalo Livore, Juan Pablo Bigatti, Gregorio |
author_role |
author |
author2 |
Livore, Juan Pablo Bigatti, Gregorio |
author2_role |
author author |
dc.subject.none.fl_str_mv |
SCIENTIFIC DIVING BENTHIC SURVEY GLOBAL POSITIONING SYSTEM (GPS) UNDERWATER IMAGING |
topic |
SCIENTIFIC DIVING BENTHIC SURVEY GLOBAL POSITIONING SYSTEM (GPS) UNDERWATER IMAGING |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Digital images are an excellent tool for divers to sample hard-bottom subtidal habitats as bottom time is limited and high-definition images can be collected quickly and accurately. The present paper describes a sampling protocol for benthic rocky reef communities using geo-referenced photoquadrats and tests the method over several rocky reefs of Atlantic Patagonia. This method was tested in two localities, separated by 100 km in a semi-enclosed gulf, covering a total of 5800 m of 11 rocky reefs using track roaming transects. The protocol is non-destructive, relatively low-cost and can adequately assess changes in marine habitats as rocky reefs. The implementation of artificial intelligence analysis using human expert training may reduce analysis time and increase the amount of data collected. The present study recommends this sampling methodology for programs aimed at monitoring changes in biodiversity. Fil: Bravo, Gonzalo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco"; Argentina. Fundación Proyectosub; Argentina Fil: Livore, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina Fil: Bigatti, Gregorio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco"; Argentina. Universidad Espíritu Santo; Ecuador. Fundación Proyectosub; Argentina |
description |
Digital images are an excellent tool for divers to sample hard-bottom subtidal habitats as bottom time is limited and high-definition images can be collected quickly and accurately. The present paper describes a sampling protocol for benthic rocky reef communities using geo-referenced photoquadrats and tests the method over several rocky reefs of Atlantic Patagonia. This method was tested in two localities, separated by 100 km in a semi-enclosed gulf, covering a total of 5800 m of 11 rocky reefs using track roaming transects. The protocol is non-destructive, relatively low-cost and can adequately assess changes in marine habitats as rocky reefs. The implementation of artificial intelligence analysis using human expert training may reduce analysis time and increase the amount of data collected. The present study recommends this sampling methodology for programs aimed at monitoring changes in biodiversity. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/169047 Bravo, Gonzalo; Livore, Juan Pablo; Bigatti, Gregorio; Monitoring rocky reef biodiversity by underwater geo-referenced photoquadrats; Society for Underwater Technology; Underwater Technology; 38; 1; 6-2021; 17-24 1756-0543 1756-0551 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/169047 |
identifier_str_mv |
Bravo, Gonzalo; Livore, Juan Pablo; Bigatti, Gregorio; Monitoring rocky reef biodiversity by underwater geo-referenced photoquadrats; Society for Underwater Technology; Underwater Technology; 38; 1; 6-2021; 17-24 1756-0543 1756-0551 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.3723/ut.38.017 info:eu-repo/semantics/altIdentifier/url/https://www.ingentaconnect.com/content/sut/unwt/2021/00000038/00000001/art00004;jsessionid=1q2k7fe4wlpks.x-ic-live-01 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Society for Underwater Technology |
publisher.none.fl_str_mv |
Society for Underwater Technology |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1844613961336487936 |
score |
13.070432 |