Avilés Canyon System: Increasing the benthic biodiversity knowledge

Ríos, Pilar; Altuna, Álvaro; Frutos, Inmaculada; Manjón-Cabeza, Eugenia; García-Guillén, Laura M.; Macías-Ramírez, Aurora; Ibarrola, Teodoro P.; Gofas, Serge; Taboada, Sergi; Souto, Javier; Álvarez, Fernándo; Saiz-Salinas, Jose I.; Cárdenas, Paco; Rodríguez-Cabello, Cristina; Lourido, Antía; Boza, Cristina; Rodríguez-Básalo, Augusto; Prado, Elena; Abad-Uribarren, Alberto; Parra, Santiago; Sánchez, Francisco Arreguín; Cristobo, Javier

doi:10.1016/j.ecss.2022.107924

Cited by 14 publications

(7 citation statements)

References 81 publications

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“…The present study addresses the need to provide efficient solutions for the monitoring, protection and conservation of vulnerable marine ecosystems (VMEs) of the circalittoral shelf by implementing automatic identification algorithms and calculating densities without human intervention. These ecosystems are crucial for maintaining marine biodiversity and play a vital role in the provision of essential ecosystem services ( Ríos et al, 2022 ). Incorporating automatic image analysis techniques represents a significant advancement in the field of benthic community studies ( Abad-Uribarren et al, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

High-resolution density assessment assisted by deep learning of Dendrophyllia cornigera (Lamarck, 1816) and Phakellia ventilabrum (Linnaeus, 1767) in rocky circalittoral shelf of Bay of Biscay

Gayá-Vilar,

Cobo,

Abad-Uribarren

et al. 2024

PeerJ

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This study presents a novel approach to high-resolution density distribution mapping of two key species of the 1170 “Reefs” habitat, Dendrophyllia cornigera and Phakellia ventilabrum, in the Bay of Biscay using deep learning models. The main objective of this study was to establish a pipeline based on deep learning models to extract species density data from raw images obtained by a remotely operated towed vehicle (ROTV). Different object detection models were evaluated and compared in various shelf zones at the head of submarine canyon systems using metrics such as precision, recall, and F1 score. The best-performing model, YOLOv8, was selected for generating density maps of the two species at a high spatial resolution. The study also generated synthetic images to augment the training data and assess the generalization capacity of the models. The proposed approach provides a cost-effective and non-invasive method for monitoring and assessing the status of these important reef-building species and their habitats. The results have important implications for the management and protection of the 1170 habitat in Spain and other marine ecosystems worldwide. These results highlight the potential of deep learning to improve efficiency and accuracy in monitoring vulnerable marine ecosystems, allowing informed decisions to be made that can have a positive impact on marine conservation.

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Section: Discussionmentioning

confidence: 99%

High-resolution density assessment assisted by deep learning of Dendrophyllia cornigera (Lamarck, 1816) and Phakellia ventilabrum (Linnaeus, 1767) in rocky circalittoral shelf of Bay of Biscay

Gayá-Vilar,

Cobo,

Abad-Uribarren

et al. 2024

PeerJ

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“…This undescribed species was subsequently sampled by suprabenthic sledges in the SE Bay of Biscay and reported by , Bachelet et al (2003) as Stilipes sp. and by Sorbe and Weber (1995), Frutos and Sorbe (2017), and Ríos et al (2022) as Stilipes sp.A. New specimens were recently sampled during investigations on suprabenthic assemblages from the Capbreton and Avilés canyons as well as from the Le Danois and Galicia banks (OXYBENT, ECOMARG and INDEMARES programmes).…”

Section: Introductionmentioning

confidence: 89%

“…Sars, 1877). Widely distributed on the southwestern European margin (Macquart-Moulin, 1993;Macquart--Moulin and Ribera Maycas, 1995;Cunha et al, 1997;Frutos, 2006;Sorbe et al, 2010;Frutos and Sorbe, 2014;Ríos et al, 2022), this good swimmer mysid inhabit the Gorringe, Josephine, Seine, Irving and Meteor seamounts; however, it seems not to be stablished on the Galician Bank because its summit is not at suitable depths for being settle (Dauvin and Sorbe, 2020).…”

Section: Ecological Notesmentioning

confidence: 99%

Seamounts, canyons and slope: The preference of a new stilipedid amphipod (Crustacea: Amphipoda) for the Bay of Biscay

Frutos

Sorbe

2022

Estuarine, Coastal and Shelf Science

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“…Canyons are systems of high biological productivity because they play an important role in the transport mechanisms of sediments and organic matter from the continental platform to the deep areas of the abyssal basin of the Bay of Biscay and contribute to the existence of deep water upwellings. This resuspension of sediments favors the development of sessile communities characteristic of reefs, with numerous species of cold-water corals and sponges [31,32]. The high productivity makes it a breeding and recruitment area for numerous species of fishing interest [33], and it is an area exploited by predatory cetaceans [34].…”

Section: Study Areamentioning

confidence: 99%

Exploring the Intricate Connections between the Influence of Fishing on Marine Biodiversity and Their Delivery of Ecological Services Driven by Different Management Frameworks

Alcorlo,

García-Tiscar,

Vidal-Abarca

et al. 2024

Coasts

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The goal of this project is to assess the state of marine biodiversity in the Natura 2000 marine network in Spain and analyze the impact of fishing policies on it. The study focuses on three marine demarcations in Spain: North Atlantic, South Atlantic, and the Strait of Gibraltar and Alborán Sea. The research uses the DPSIR (Drivers of Change-Pressure-State-Impact-Response) framework, a multi-criteria analysis approach to understand the relationships between biodiversity loss, fishing, marine ecosystem integrity, and the provision of ecosystem services. Our results revealed a significant decline in biodiversity since 1985 in the four marine areas studied; this loss was more pronounced in the Gulf of Cadiz (in Andalusia) and less intense in the northern regions of Spain (Galicia and Asturias). This trend aligns with the global degradation of marine ecosystems and loss of biodiversity caused by human activities. The main drivers behind this decline are economic factors promoting industrial fishing and overexploitation. However, there has been a reduction in the industrial fishing fleet since the 2000s, supported by the European Maritime and Fisheries Fund for transitioning toward sustainable fishing methods. Despite the increase in regulations and the establishment of marine protected areas, these measures have not been effective enough to stop the loss of marine biodiversity. The results highlight the importance of combining administrative measures such as creating marine protected areas and implementing fisheries management regulations with the preservation of cultural services provided by these ecosystems. Successful governance models that involve collaboration between fishermen and decision-makers have been observed in northern Galicia and the Gulf of Cádiz.

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Avilés Canyon System: Increasing the benthic biodiversity knowledge

Cited by 14 publications

References 81 publications

High-resolution density assessment assisted by deep learning of Dendrophyllia cornigera (Lamarck, 1816) and Phakellia ventilabrum (Linnaeus, 1767) in rocky circalittoral shelf of Bay of Biscay

High-resolution density assessment assisted by deep learning of Dendrophyllia cornigera (Lamarck, 1816) and Phakellia ventilabrum (Linnaeus, 1767) in rocky circalittoral shelf of Bay of Biscay

Seamounts, canyons and slope: The preference of a new stilipedid amphipod (Crustacea: Amphipoda) for the Bay of Biscay

Exploring the Intricate Connections between the Influence of Fishing on Marine Biodiversity and Their Delivery of Ecological Services Driven by Different Management Frameworks

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