Hard-bottom bathyal habitats and keystone epibenthic species on Le Danois Bank (Cantabrian Sea)

Sánchez, Francisco Arreguín; Rodríguez-Básalo, Augusto; García‐Alegre, Ana; Gómez-Ballesteros, M.

doi:10.1016/j.seares.2017.09.005

Cited by 22 publications

(29 citation statements)

References 40 publications

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“…The management plan includes specific measures for fishing activities, oil exploration, minerals and military activity (BOE, 2011). Depths within the area vary from 425 to 4000 meters -an amazing diverse biological hotspot (Sánchez et al, 2008(Sánchez et al, , 2017. The red circle shows the location of the gorgonian forest analysed on this study.…”

Section: Study Areamentioning

confidence: 99%

“…Placogorgia sp., a Plexauridae gorgonian coral originally identified as Paramuricea cf. placomus (Linnaeus, 1758) in Sánchez et al (2017), is one of the most vulnerable species cited in the MPA of 'El Cachucho'. In this area, it grows as fanshaped densely-branched colonies, and settles on rocky substrate bottoms in a depth range for this area from 500 m to 1000 m (Fig.2).…”

Section: Study Areamentioning

confidence: 99%

“…To design and manage conservation areas monitoring programs of the protected species must be carried out (Fraschetti et al, 2002;Claudet et al, 2006;Addison, 2011). El Cachucho MPA has been subject in recent years of numerous studies and surveys to evaluate the condition of the habitats (García-Alegre et al, 2014;Sánchez et al, 2017), but developing methodologies to determine the conservation status of vulnerable habitats and to monitor over time the health status of the populations is still necessary. The need to increase the level of detail of the measurements to define the morphometry of the gorgonians is clear.…”

Section: Introductionmentioning

confidence: 99%

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Semi-Automatic Method of Fan Surface Assessment to Achieve Gorgonian Population Structure in Le Danois Bank, Cantabrian Sea

Prado

Sánchez

Rodríguez-Básalo

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This study presents a semi-automatic method to estimate fan surface of a Placogorgia sp. octocoral assemblage using 3D point clouds in El Cachucho MPA at 550&thinsp;m of depth. The presence of gorgonian forests and deep-sea sponge aggregations in Le Danois Bank was the cause of its declaration as ‘El Cachucho’ Marine Protected Area (MPA), being included in the Natura 2000 network. The Placogorgia sp. is a structuring species of the deep Cantabrian Sea; parameters such as population structure and morphology inform on the overall health of this vulnerable habitat, but the estimation of gorgonian metrics often requires destructive sampling. The use of non-invasive methodology, which does not cause damage or alterations on benthic communities, is particularly necessary in vulnerable ecosystem studies and Marine Protected Areas (MPA) monitoring. This study proposes a semi-automatic methodology to assess gorgonian morphometries fitting planes to colonies. Video transects acquired in Le Danois Bank, during the ECOMARG-2017 survey using the Politolana underwater towed vehicle were used. Using Pix4D Mapper Pro and Cloud Compare software, size and morphometry of fan-shaped gorgonians and forest population structure were assessed. RMS of fitting planes shows that the geometrical figure chosen is suitable to retain the morphometric characteristics of the specimens of this species. The adjustment of semi-automatic values with a sample of digitized surfaces manually is validated (R2=0.97). The results show that gorgonian population was mostly dominated by small colonies. The population structure distribution shows a high proportion (~22%) of recruits (&lt;&thinsp;0.05&thinsp;m2) of fan surface.

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Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Semi-Automatic Method of Fan Surface Assessment to Achieve Gorgonian Population Structure in Le Danois Bank, Cantabrian Sea

Prado

Sánchez

Rodríguez-Básalo

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…The video sections were acquired using Politolana ROTV (Remotely Operated Towed Vehicle). Politolana sled (Sánchez et al, 2017) is a robust submarine towed vehicle, designed by the Santander laboratory of the Spanish Institute of Oceanography (IEO), to study the deep-sea floor using photogrammetric methods. This vehicle acquires simultaneously still pictures and HD video, and synchronizes it with geographical coordinate and environmental variables.…”

Section: Survey Descriptionmentioning

confidence: 99%

3d Modeling of Rio Miera Wreck Ship Merging Optical and Multibeam High Resolution Points Cloud

Prado

Gómez-Ballesteros

Cobo

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. 3D reconstruction and virtual reality (VR) technology provide many opportunities for the documentation and dissemination of underwater cultural heritage. Advances in the development of underwater exploration technology have allowed for the first time to accurately reconstruct a complete 3D model of the cargo Río Miera in the Cantabrian Sea. Sunk on December 6, 1951 after a strong collision, the cargo ship Río Miera rests on a sandy bottom about 40 meters deep, very close to the Cantabrian coast. Located in an area of strong currents is a classic objective of the region for the most experienced divers. The survey was carried out this summer in R/V Ramón Margalef of the IEO, acquiring acoustic data with multibeam echo sounders and hundreds of images acquired by a remotely piloted underwater vehicle. The campaign is part of the PhotoMARE project - Underwater Photogrammetry for MArine Renewable Energy. This work describes the workflow regarding the survey, images and acoustic data acquisition, data processing, optic 3D point cloud color enhancement and acoustic and optic dataset merging procedure to obtain a complete 3D model of wreck Río Miera in Cantabrian Sea. Through this project, Spanish Institute of Oceanography – IEO have advanced – combining acoustic and image methods - in the generation of 3D models of archaeological sites and submerged structures.

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“…Predictive habitat models were used widely in recent years to statistically infer the distribution of benthic species of interest in ocean bottoms, especially oriented to protected zone management [5][6][7] and marine strategy framework directive (MSFD) implementation [8,9]. Therefore, statistical models have become a key tool for any marine space management [10][11][12] enabling better understanding of the spatial distribution of the habitats of the seabed and also showing the relationships between the species and their environment.…”

Section: Introductionmentioning

confidence: 99%

3D Fine-scale Terrain Variables from Underwater Photogrammetry: A New Approach to Benthic Microhabitat Modeling in a Circalittoral Rocky Shelf

et al. 2020

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The relationship between 3D terrain complexity and fine-scale localization and distribution of species is poorly understood. Here we present a very fine-scale 3D reconstruction model of three zones of circalittoral rocky shelf in the Bay of Biscay. Detailed terrain variables are extracted from 3D models using a structure-from-motion (SfM) approach applied to ROTV images. Significant terrain variables that explain species location were selected using general additive models (GAMs) and micro-distribution of the species were predicted. Two models combining BPI, curvature and rugosity can explain 55% and 77% of the Ophiuroidea and Crinoidea distribution, respectively. The third model contributes to explaining the terrain variables that induce the localization of Dendrophyllia cornigera. GAM univariate models detect the terrain variables for each structural species in this third zone (Artemisina transiens, D. cornigera and Phakellia ventilabrum). To avoid the time-consuming task of manual annotation of presence, a deep-learning algorithm (YOLO v4) is proposed. This approach achieves very high reliability and low uncertainty in automatic object detection, identification and location. These new advances applied to underwater imagery (SfM and deep-learning) can resolve the very-high resolution information needed for predictive microhabitat modeling in a very complex zone.

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Hard-bottom bathyal habitats and keystone epibenthic species on Le Danois Bank (Cantabrian Sea)

Cited by 22 publications

References 40 publications

Semi-Automatic Method of Fan Surface Assessment to Achieve Gorgonian Population Structure in Le Danois Bank, Cantabrian Sea

Semi-Automatic Method of Fan Surface Assessment to Achieve Gorgonian Population Structure in Le Danois Bank, Cantabrian Sea

3d Modeling of Rio Miera Wreck Ship Merging Optical and Multibeam High Resolution Points Cloud

3D Fine-scale Terrain Variables from Underwater Photogrammetry: A New Approach to Benthic Microhabitat Modeling in a Circalittoral Rocky Shelf

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