Consulta: creatorFacets:"Howell, Kerry L."
Registros recuperados: 2
Data/hora: 05/06/2024 01:22:14

A Blueprint for an Inclusive, Global Deep-Sea Ocean Decade Field Program
Provedor de dados: 5
Autores: Howell, Kerry L.; Hilário, Ana; Allcock, A. Louise; Bailey, David M.; Baker, Maria; Clark, Malcolm R.; Colaço, Ana; Copley, Jon; Cordes, Erik E.; Danovaro, Roberto; Dissanayake, Awantha; Escobar, Elva; Esquete, Patricia; Gallagher, Austin J.; Gates, Andrew R.; Gaudron, Sylvie M.; German, Christopher R.; Gjerde, Kristina M.; Higgs, Nicholas D.; Le Bris, Nadine; Levin, Lisa A.; Manea, Elisabetta; Mcclain, Craig; Menot, Lenaick; Mestre, Nelia C.; Metaxas, Anna; Milligan, Rosanna J.; Muthumbi, Agnes W. N.; Narayanaswamy, Bhavani E.; Ramalho, Sofia P.; Ramirez-llodra, Eva; Robson, Laura M.; Rogers, Alex D.; Sellanes, Javier; Sigwart, Julia D.; Sink, Kerry; Snelgrove, Paul V. R.; Stefanoudis, Paris V.; Sumida, Paulo Y.; Taylor, Michelle L.; Thurber, Andrew R.; Vieira, Rui P.; Watanabe, Hiromi K.; Woodall, Lucy C.; Xavier, Joana R.
The ocean plays a crucial role in the functioning of the Earth System and in the provision of vital goods and services. The United Nations (UN) declared 2021–2030 as the UN Decade of Ocean Science for Sustainable Development. The Roadmap for the Ocean Decade aims to achieve six critical societal outcomes (SOs) by 2030, through the pursuit of four objectives (Os). It specifically recognizes the scarcity of biological data for deep-sea biomes, and challenges the global scientific community to conduct research to advance understanding of deep-sea ecosystems to inform sustainable management. In this paper, we map four key scientific questions identified by the academic community to the Ocean Decade SOs: (i) What is the diversity of life in the deep ocean? (ii)...
Tipo: Text
Palavras-chave: Deep sea; Blue economy; Ocean Decade; Biodivercity; Essential ocean variables.
Ano: 2020
URL: https://archimer.ifremer.fr/doc/00666/77768/79904.pdf

A framework for the development of a global standardised marine taxon reference image database (SMarTaR-ID) to support image-based analyses
Provedor de dados: 5
Autores: 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...
Tipo: Text
Ano: 2019
URL: https://archimer.ifremer.fr/doc/00602/71408/69862.pdf