Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Vera Veloso"'
Autor:
Vanda Brotas, Afonso Ferreira, Vera Veloso, Andreia Tracana, Catarina V. Guerreiro, Glen Adam Tarran, E. Malcolm S. Woodward, Lourenço Ribeiro, Jane Netting, Daniel Clewley, Steve B. Groom
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
The Atlantic Meridional Transect (AMT) program (www.amt-uk.org) provides the perfect opportunity to observe the phytoplankton community size structure over a long latitudinal transect 50oN to 50oS, thereby covering the most important latitude-related
Externí odkaz:
https://doaj.org/article/45cc1e2b362744c6b5a9abd76354c69c
Autor:
Catarina V. Guerreiro, Afonso Ferreira, Lluisa Cros, Jan-Berend Stuut, Alex Baker, Andreia Tracana, Catarina Pinto, Vera Veloso, Andrew P. Rees, Mário A. P. Cachão, Telmo Nunes, Vanda Brotas
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Changes in coccolithophore productivity in response to climate-driven ocean warming are likely to have cascading biogeochemical effects that feed back to the changing climate. This paper investigates the role (and interplay) of large-scale oceanograp
Externí odkaz:
https://doaj.org/article/e8b525a9e98046e6a567e217462d87c2
Autor:
Vanda Brotas, Glen A. Tarran, Vera Veloso, Robert J. W. Brewin, E. Malcolm S. Woodward, Ruth Airs, Carolina Beltran, Afonso Ferreira, Steve B. Groom
Publikováno v:
Frontiers in Marine Science, Vol 8 (2022)
Phytoplankton biomass, through its proxy, Chlorophyll a, has been assessed at synoptic temporal and spatial scales with satellite remote sensing (RS) for over two decades. Also, RS algorithms to monitor relative size classes abundance are widely used
Externí odkaz:
https://doaj.org/article/c1baaa42691042058695f63eb863c0d6
Autor:
Victor Martinez-Vicente, Andrey Kurekin, Carolina Sá, Vanda Brotas, Ana Amorim, Vera Veloso, Junfang Lin, Peter I. Miller
Publikováno v:
Frontiers in Marine Science, Vol 7 (2020)
Early detection of dense harmful algal blooms (HABs) is possible using ocean colour remote sensing. Some algorithms require a training dataset, usually constructed from satellite images with a priori knowledge of the existence of the bloom. This appr
Externí odkaz:
https://doaj.org/article/edd03dd912f748a7b754a60d5ffd41d2