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Potential Mitigation and Restoration Actions in Ecosystems Impacted by Seabed Mining ArchiMer
Cuvelier, Daphne; Gollner, Sabine; Jones, Daniel Ob; Kaiser, Stefanie; Arbizu, Pedro Martinez; Menzel, Lena; Mestre, Nelia C.; Morato, Telmo; Pham, Christopher; Pradillon, Florence; Purser, Autun; Raschka, Uwe; Sarrazin, Jozee; Simon-lledo, Erik; Stewart, Ian M.; Stuckas, Heiko; Sweetman, Andrew K.; Colaco, Ana.
Mining impacts will affect local populations to different degrees. Impacts range from removal of habitats and possible energy sources to pollution and smaller-scale alterations in local habitats that, depending on the degree of disturbance, can lead to extinction of local communities. While there is a shortage or even lack of studies investigating impacts that resemble those caused by actual mining activity, the information available on the potential long-lasting impacts of seabed mining emphasise the need for effective environmental management plans. These plans should include efforts to mitigate deep-sea mining impact such as avoidance, minimisation and potentially restoration actions, to maintain or encourage reinstatement of a resilient ecosystem. A...
Tipo: Text Palavras-chave: Deep sea; Mining; Restoration; Mitigation; Impacts; Assisted recovery; (re-)colonisation.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00470/58209/60711.pdf
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New species of the xenophyophore genus Aschemonella (Rhizaria: Foraminifera) from areas of the abyssal eastern Pacific licensed for polymetallic nodule exploration ArchiMer
Gooday, Andrew J.; Holzmann, Maria; Caulle, Clemence; Goineau, Aurelie; Jones, Daniel Ob; Kamenskaya, Olga; Simon-lledo, Erik; Weber, Alexandra A. -t.; Pawlowski, Jan.
We describe Aschemonella monile Gooday and Holzmann sp. nov. from the Clarion-Clipperton Zone (CCZ, abyssal eastern equatorial Pacific), a region characterized by commercially significant concentrations of polymetallic nodules. The new species is the most abundant xenophyophore (giant agglutinated foraminifera) in our main sampling area (12-14 degrees N; 116 degrees 30'-117 degrees 26'W). Additional specimens originate from the central CCZ, and from a third area, similar to 900 km NW of the main area, where A. monile numerically dominates the megabenthos in photographic surveys of the seafloor (average densities 1.54 individuals/m(2); peak densities > 3 individuals/m(2)). Aschemonella monile is much larger (>= 7 cm in length) than previously...
Tipo: Text Palavras-chave: Abyssal megafauna; Biodiversity; Clarion-Clipperton Zone; Deep-sea benthos; Deep-sea mining; Protist.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00435/54663/56099.pdf
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A framework for the development of a global standardised marine taxon reference image database (SMarTaR-ID) to support image-based analyses ArchiMer
Howell, Kerry L.; Davies, Jaime S.; Allcock, A. Louise; Braga-henriques, Andreia; Buhl-mortensen, Pål; Carreiro-silva, Marina; Dominguez-carrió, Carlos; Durden, Jennifer M.; Foster, Nicola L.; Game, Chloe A.; Hitchin, Becky; Horton, Tammy; Hosking, Brett; Jones, Daniel Ob; Mah, Christopher; Laguionie Marchais, Claire; Menot, Lenaick; Morato, Telmo; Pearman, Tabitha R. R.; Piechaud, Nils; Ross, Rebecca E.; Ruhl, Henry A.; Saeedi, Hanieh; Stefanoudis, Paris V.; Taranto, Gerald H.; Thompson, Michael B.; Taylor, James R.; Tyler, Paul; Vad, Johanne; Victorero, Lissette; Vieira, Rui P.; Woodall, Lucy C.; Xavier, Joana R.; Wagner, Daniel.
Video and image data are regularly used in the field of benthic ecology to document biodiversity. However, their use is subject to a number of challenges, principally the identification of taxa within the images without associated physical specimens. The challenge of applying traditional taxonomic keys to the identification of fauna from images has led to the development of personal, group, or institution level reference image catalogues of operational taxonomic units (OTUs) or morphospecies. Lack of standardisation among these reference catalogues has led to problems with observer bias and the inability to combine datasets across studies. In addition, lack of a common reference standard is stifling efforts in the application of artificial intelligence to...
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Ano: 2019 URL: https://archimer.ifremer.fr/doc/00602/71408/69862.pdf
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