Cabled video-observatory monitoring of seasonal rhythms in a Mediterranean coastal fish community

Autor: Condal, Fernando, Aguzzi, Jacopo, Sardà, Francesc, Nogueras, Marc, Cadena, Javier, Mànuel, Antoni
Přispěvatelé: Catalan Education Department, Universitat Politècnica de Catalunya. Centre de Desenvolupament Tecnològic de Sistemes d'Adquisició Remota i Tractament de la Informació, Universitat Politècnica de Catalunya. SARTI-MAR - Sistemes d'Adquisició Remota de dades i Tractament de la Informació en el Medi Marí, Condal Domingo, Fernando
Jazyk: angličtina
Rok vydání: 2020
Předmět:
[SDE] Environmental Sciences
seasonal rhythms
Biodiversity research
Mediterranean-type ecosystems
Intra-day variation
Enginyeria agroalimentària::Ciències de la terra i de la vida::Biologia [Àrees temàtiques de la UPC]
Artificial reef
Comunicacions subacuàtiques
cabled video-observatory
Diplodus sargus
Fons marins -- Investigació
Spondyliosoma cantharus
Marine species diversity
Image analysis
Ecosistemes mediterranis
Fish community
image analysis
intra-day variation
Diplodus vulgaris
Underwater imaging systems
biodiversity
Fish populations -- Mediterranean Sea
Cabled video-observatory
Symphodus melanocercus
Biodiversity
Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo [Àrees temàtiques de la UPC]
Seasonal rhythms
Diplodus annularis
OBSEA
artificial reef
Chromis chromis
[SDE]Environmental Sciences
fish community
Dentex dentex
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
ISSN: 2010-1627
Popis: The obtention of time series in the structure and biodiversity of marine populations is of great interest in spite of increasing anthropic perturbations of direct type (e.g. fishing or littering) or of more indirect nature as the climate change. However, the lack of reliable and long-lasting sampling/observational technology deeply constrains our understanding of ecosystem functioning and its response to any perturbation. For the first time, we continuously monitored the seasonal variation in individuals for different fish species within a Western Mediterranean marine protected area by means of the cabled video-observatory OBSEA (20 m depth). During 1 year (from June 2009 to July 2010), frames for fish visual counting were acquired by a digital still camera portraying two different reef and water locations, at each daylight hour within the two central weeks of each month. In images we reported the total of counted fishes, the total of fishes per species, the number of species, the Shannon Diversity and Mean Trophic Level. A comprehensive faunistic list including not only fishes but also diving seabirds was obtained. Significantly higher number of species and their abundances were observed in images including the artificial reef location versus those of the water column. A seasonal variability was observed in Diplodus vulgaris, Chromis chromis, Diplodus sargus, Diplodus annularis, Dentex dentex, Spondyliosoma cantharus, Symphodus melanocercus, having this phenomenon an effect on monthly Shannon Diversity Index estimates. The seasonal variation of these species was not linked to their Trophic Level. Moreover, a weak intra-day (i.e. morning versus afternoon) variation in fish counts was also reported, being not significant. Present results indicate that cabled video-observatories are a reliable and powerful method to monitor seasonal changes in species composition and biodiversity, potentially providing important data for the modelling of marine ecosystem functioning. This research was funded by ESONET (European Seas Observatory NETwork; Framework Program-FP7 Infrastructures-2005-Global-4, ESONET 036851-2), EMSO (European Multidisciplinary Seafloor Observation; Framework Program-FP7 Infrastructures2007-1, Proposal 211816), RITFIM (CTM2010-16274), and ACI2009-0983 (Operatividad laboratorio Submarino OBSEA). Researchers from the CSIC and UPC are members of the Associated Unit Tecnoterra. J. Aguzzi is a Postdoctoral Fellow of the Ramón y Cajal Program (MICINN).
Databáze: OpenAIRE