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DeepWalls: Report on summer 2020 survey with submersible LULA1000

Authors: Carreiro-Silva, Marina; Dominguez-Carrió, Carlos; Morato, Telmo;

DeepWalls: Report on summer 2020 survey with submersible LULA1000

Abstract

This report describes the DeepWalls survey aimed to characterize and map the distribution of deep-sea megafaunal communities associated with vertical walls in the Azores by means of the submarine LULA1000 of the Rebikoff-Niggeler Foundation (FRN). The primary target areas for the submersible dives were the South of Pico and São Jorge Islands, where the existence of communities of interest in vertical walls had already been identified during exploratory dives performed by FRN based on the information compiled in the database (Deliverable 1.1). Five submersible dives were undertaken in 2020 in the vertical walls down to 1000 m depth around the islands of Pico and São Jorge. In addition to these dives, in August 2019, the DeepWalls team coordinated two dives on seamount ridge Baixo de São Mateus, located south of Pico Island. Theses dives, financed by Oceano Azul Foundation, collected information for the DeepWalls project and to support the process of identifying new areas of interest for conservation in the Azores EEZ under the Blue Azores program, in partnership with the Oceano Azul Foundation (FOA).

Funding provided by the project DeepWalls (Exploring pristine deep-sea walls to establish baselines for Good Environmental Status in the Azores) - ACORES-01-0145-FEDER-000124 through the Operational Program for the Azores 2020 (PO Azores 2020) and Blue Azores Foundation, Portugal.

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Keywords

DeepWalls survey, deep-sea megafauna, vertical walls, Azores

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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