Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Frédéric Maps"'
Autor:
Laure Vilgrain, Frédéric Maps, Sünnje Basedow, Emilia Trudnowska, Mohammed‐Amin Madoui, Barbara Niehoff, Sakina‐Dorothée Ayata
Publikováno v:
Ecosphere, Vol 14, Iss 6, Pp n/a-n/a (2023)
Abstract Pigmentation is often overlooked in zooplankton, since these organisms are mostly colorless to fit the translucid water medium. However, one of the dominant zooplankton taxa in aquatic ecosystems—copepods—often show a bright red‐orange
Externí odkaz:
https://doaj.org/article/96e8da50017e4efda8eb597094116c13
Autor:
Marie Pierrejean, Cindy Grant, Bárbara de Moura Neves, Gwénaëlle Chaillou, Evan Edinger, F. Guillaume Blanchet, Frédéric Maps, Christian Nozais, Philippe Archambault
Publikováno v:
Frontiers in Marine Science, Vol 7 (2020)
The relationships between infaunal diversity and ecosystem function of biogenic structures in the Eastern Canadian Arctic remain poorly documented. Our study investigated the influence of sponge gardens at the Frobisher Bay site (137 m) and bamboo co
Externí odkaz:
https://doaj.org/article/65a049a7044942b2bd22bf9b3b76fd1c
Autor:
Blanche Saint-Béat, Brian D. Fath, Cyril Aubry, Jonathan Colombet, Julie Dinasquet, Louis Fortier, Virginie Galindo, Pierre-Luc Grondin, Fabien Joux, Catherine Lalande, Mathieu LeBlanc, Patrick Raimbault, Télesphore Sime-Ngando, Jean-Eric Tremblay, Daniel Vaulot, Frédéric Maps, Marcel Babin
Publikováno v:
Elementa: Science of the Anthropocene, Vol 8, Iss 1 (2020)
Baffin Bay, located at the Arctic Ocean’s ‘doorstep’, is a heterogeneous environment where a warm and salty eastern current flows northwards in the opposite direction of a cold and relatively fresh Arctic current flowing along the west coast of
Externí odkaz:
https://doaj.org/article/55892ec7942b41a192cb412e8a0fbb84
Publikováno v:
Arctic Science, Vol 3, Iss 2, Pp 406-428 (2017)
Permafrost thawing and erosion results in the enrichment of northern lakes by soil organic matter. These allochthonous inputs favour bacterial decomposition and may cause the draw-down of dissolved oxygen to anoxic conditions that promote methanogene
Externí odkaz:
https://doaj.org/article/bea98fc683664b4d8fa758d24f5f81c0
Publikováno v:
Frontiers in Marine Science, Vol 3 (2016)
Communities of large copepods form an essential hub of matter and energy fluxes in Arctic marine food webs. Intraguild predation on eggs and early larval stages occurs among the different species of those communities and it has been hypothesized to i
Externí odkaz:
https://doaj.org/article/851f977ea19144c19fb03f7a9b002ea1
Publikováno v:
Functional Ecology. 36:3161-3174
Autor:
Sara Pedro, Mélanie Lemire, Carie Hoover, Blanche Saint-Béat, Muhammad Y. Janjua, Jennifer Herbig, Maxime Geoffroy, Gustavo Yunda-Guarin, Marie-Ange Moisan, Justin Boissinot, Jean-Éric Tremblay, Matthew Little, Laurie Chan, Marcel Babin, Tiff-Annie Kenny, Frédéric Maps
Publikováno v:
Elementa-science Of The Anthropocene (2325-1026) (University of California Press), 2023-02, Vol. 11, N. 1, P. 26p.
Arctic marine species, from benthos to fish and mammals, are essential for food security and sovereignty of Inuit people. Inuit food security is dependent on the availability, accessibility, quality, and sustainability of country food resources. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87e451d6c2755999cd7bc515cfde2676
https://archimer.ifremer.fr/doc/00824/93573/
https://archimer.ifremer.fr/doc/00824/93573/
Marine ecosystems model development should be rooted in past experiences, not anchored in old habits
Autor:
Nicholas R. Record, Frédéric Maps
Publikováno v:
ICES Journal of Marine Science. 77:46-57
Numerical models of marine ecosystems tend to increase in complexity, incorporating a growing number of functions and parameters. Here, we reflect on the issue of “anchoring” inherent to model development, i.e. the tendency for modellers to take
Autor:
Eric C. Orenstein, Sakina‐Dorothée Ayata, Frédéric Maps, Érica C. Becker, Fabio Benedetti, Tristan Biard, Thibault de Garidel‐Thoron, Jeffrey S. Ellen, Filippo Ferrario, Sarah L. C. Giering, Tamar Guy‐Haim, Laura Hoebeke, Morten Hvitfeldt Iversen, Thomas Kiørboe, Jean‐François Lalonde, Arancha Lana, Martin Laviale, Fabien Lombard, Tom Lorimer, Séverine Martini, Albin Meyer, Klas Ove Möller, Barbara Niehoff, Mark D. Ohman, Cédric Pradalier, Jean‐Baptiste Romagnan, Simon‐Martin Schröder, Virginie Sonnet, Heidi M. Sosik, Lars S. Stemmann, Michiel Stock, Tuba Terbiyik‐Kurt, Nerea Valcárcel‐Pérez, Laure Vilgrain, Guillaume Wacquet, Anya M. Waite, Jean‐Olivier Irisson
Publikováno v:
Limnology and Oceanography
Limnology and Oceanography, 2022, 67 (8), pp.1647-1669. ⟨10.1002/lno.12101⟩
Orenstein, E C, Ayata, SD, Maps, F, Becker, É C, Benedetti, F, Biard, T, de Garidel-Thoron, T, Ellen, J S, Ferrario, F, Giering, S L C, Guy-Haim, T, Hoebeke, L, Iversen, M H, Kiørboe, T, Lalonde, JF, Lana, A, Laviale, M, Lombard, F, Lorimer, T, Martini, S, Meyer, A, Möller, K O, Niehoff, B, Ohman, M D, Pradalier, C, Romagnan, JB, Schröder, SM, Sonnet, V, Sosik, H M, Stemmann, L S, Stock, M, Terbiyik-Kurt, T, Valcárcel-Pérez, N, Vilgrain, L, Wacquet, G, Waite, A M & Irisson, JO 2022, ' Machine learning techniques to characterize functional traits of plankton from image data ', Limnology and Oceanography, vol. 67, no. 8, pp. 1647-1669 . https://doi.org/10.1002/lno.12101
Limnology And Oceanography (0024-3590) (Wiley), 2022-08, Vol. 67, N. 8, P. 1647-1669
LIMNOLOGY AND OCEANOGRAPHY
e-IEO. Repositorio Institucional Digital de Acceso Abierto del Instituto Español de Oceanografía
instname
Limnology and Oceanography, 2022, 67 (8), pp.1647-1669. ⟨10.1002/lno.12101⟩
Orenstein, E C, Ayata, SD, Maps, F, Becker, É C, Benedetti, F, Biard, T, de Garidel-Thoron, T, Ellen, J S, Ferrario, F, Giering, S L C, Guy-Haim, T, Hoebeke, L, Iversen, M H, Kiørboe, T, Lalonde, JF, Lana, A, Laviale, M, Lombard, F, Lorimer, T, Martini, S, Meyer, A, Möller, K O, Niehoff, B, Ohman, M D, Pradalier, C, Romagnan, JB, Schröder, SM, Sonnet, V, Sosik, H M, Stemmann, L S, Stock, M, Terbiyik-Kurt, T, Valcárcel-Pérez, N, Vilgrain, L, Wacquet, G, Waite, A M & Irisson, JO 2022, ' Machine learning techniques to characterize functional traits of plankton from image data ', Limnology and Oceanography, vol. 67, no. 8, pp. 1647-1669 . https://doi.org/10.1002/lno.12101
Limnology And Oceanography (0024-3590) (Wiley), 2022-08, Vol. 67, N. 8, P. 1647-1669
LIMNOLOGY AND OCEANOGRAPHY
e-IEO. Repositorio Institucional Digital de Acceso Abierto del Instituto Español de Oceanografía
instname
Plankton imaging systems supported by automated classification and analysis have improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of reliably tracking plankton populations with a suite of lab-based and in situ too
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b310387659399d19153332aae277f2ee
https://hal.univ-lorraine.fr/hal-03482282/document
https://hal.univ-lorraine.fr/hal-03482282/document
Autor:
Catherine Johnson, Wendy C. Gentleman, Diane Lavoie, Kira A. Krumhansl, Stéphane Plourde, Joël Chassé, Frédéric Maps, Catherine E. Brennan, Caroline Lehoux
Publikováno v:
Progress in Oceanography. 171:1-21
Two copepod species, Calanus finmarchicus and Calanus hyperboreus, constitute the main prey of endangered North Atlantic right whales in eastern Canadian shelf waters. Estimating the spatial distribution of Calanus spp. and understanding how it chang