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2. Global oceanic diazotroph database version 2 and elevated estimate of global oceanic N2 fixation

Author

Shao, Z, Xu, Y, Wang, H, Luo, W, Wang, L, Huang, Y, Nona Sheila, RA, Ahmed, A, Benavides, M, Bentzon-Tilia, M, Berman-Frank, I, Berthelot, H, Biegala, IC, Bif, MB, Bode, A, Bonnet, S, Bronk, DA, Brown, MV, Campbell, L, Capone, DG, Carpenter, EJ, Cassar, N, Chang, BX, Chappell, D, Yuh-Ling, LC, Church, MJ, Cornejo-Castillo, FM, Sacilotto Detoni, AM, Doney, SC, Dupouy, C, Estrada, M, Fernandez, C, Fernández-Castro, B, Fonseca-Batista, D, Foster, RA, Furuya, K, Garcia, N, Goto, K, Gago, J, Gradoville, MR, Hamersley, MR, Henke, BA, Hörstmann, C, Jayakumar, A, Jiang, Z, Kao, SJ, Karl, DM, Kittu, LR, Knapp, AN, Kumar, S, LaRoche, J, Liu, H, Liu, J, Lory, C, Löscher, CR, Marañón, E, Messer, LF, Mills, MM, Mohr, W, Moisander, PH, Mahaffey, C, Moore, R, Mouriño-Carballido, B, Mulholland, MR, Shin-Ichiro, N, Needoba, JA, Raes, EJ, Rahav, E, Ramírez-Cárdenas, T, Reeder, CF, Riemann, L, Riou, V, Robidart, JC, Sarma, VVSS, Sato, T, Saxena, H, Selden, C, Seymour, JR, Shi, D, Shiozaki, T, Singh, A, Sipler, RE, Sun, J, Suzuki, K, Takahashi, K, Tan, Y, Tang, W, Tremblay, JÉ, Turk-Kubo, K, Wen, Z, White, AE, Wilson, ST, Yoshida, T, Zehr, JP, Zhang, R, Zhang, Y, Luo, YW, Shao, Z, Xu, Y, Wang, H, Luo, W, Wang, L, Huang, Y, Nona Sheila, RA, Ahmed, A, Benavides, M, Bentzon-Tilia, M, Berman-Frank, I, Berthelot, H, Biegala, IC, Bif, MB, Bode, A, Bonnet, S, Bronk, DA, Brown, MV, Campbell, L, Capone, DG, Carpenter, EJ, Cassar, N, Chang, BX, Chappell, D, Yuh-Ling, LC, Church, MJ, Cornejo-Castillo, FM, Sacilotto Detoni, AM, Doney, SC, Dupouy, C, Estrada, M, Fernandez, C, Fernández-Castro, B, Fonseca-Batista, D, Foster, RA, Furuya, K, Garcia, N, Goto, K, Gago, J, Gradoville, MR, Hamersley, MR, Henke, BA, Hörstmann, C, Jayakumar, A, Jiang, Z, Kao, SJ, Karl, DM, Kittu, LR, Knapp, AN, Kumar, S, LaRoche, J, Liu, H, Liu, J, Lory, C, Löscher, CR, Marañón, E, Messer, LF, Mills, MM, Mohr, W, Moisander, PH, Mahaffey, C, Moore, R, Mouriño-Carballido, B, Mulholland, MR, Shin-Ichiro, N, Needoba, JA, Raes, EJ, Rahav, E, Ramírez-Cárdenas, T, Reeder, CF, Riemann, L, Riou, V, Robidart, JC, Sarma, VVSS, Sato, T, Saxena, H, Selden, C, Seymour, JR, Shi, D, Shiozaki, T, Singh, A, Sipler, RE, Sun, J, Suzuki, K, Takahashi, K, Tan, Y, Tang, W, Tremblay, JÉ, Turk-Kubo, K, Wen, Z, White, AE, Wilson, ST, Yoshida, T, Zehr, JP, Zhang, R, Zhang, Y, and Luo, YW

Abstract

Marine diazotrophs convert dinitrogen (N2) gas into bioavailable nitrogen (N), supporting life in the global ocean. In 2012, the first version of the global oceanic diazotroph database (version 1) was published. Here, we present an updated version of the database (version 2), significantly increasing the number of in situ diazotrophic measurements from 13 565 to 55 286. Data points for N2 fixation rates, diazotrophic cell abundance, and nifH gene copy abundance have increased by 184 %, 86 %, and 809 %, respectively. Version 2 includes two new data sheets for the nifH gene copy abundance of non-cyanobacterial diazotrophs and cell-specific N2 fixation rates. The measurements of N2 fixation rates approximately follow a log-normal distribution in both version 1 and version 2. However, version 2 considerably extends both the left and right tails of the distribution. Consequently, when estimating global oceanic N2 fixation rates using the geometric means of different ocean basins, version 1 and version 2 yield similar rates (43–57 versus 45–63 Tg N yr−1; ranges based on one geometric standard error). In contrast, when using arithmetic means, version 2 suggests a significantly higher rate of 223 ± 30 Tg N yr−1 (mean ± standard error; same hereafter) compared to version 1 (74 ± 7 Tg N yr−1). Specifically, substantial rate increases are estimated for the South Pacific Ocean (88 ± 23 versus 20 ± 2 Tg N yr−1), primarily driven by measurements in the southwestern subtropics, and for the North Atlantic Ocean (40 ± 9 versus 10 ± 2 Tg N yr−1). Moreover, version 2 estimates the N2 fixation rate in the Indian Ocean to be 35 ± 14 Tg N yr−1, which could not be estimated using version 1 due to limited data availability. Furthermore, a comparison of N2 fixation rates obtained through different measurement methods at the same months, locations, and depths reveals that the conventional 15N2 bubble method yields lower rates in 69 % cases compared to the new 15N2 dissolution method. This up

Published
2023

4. Low diversity of a key phytoplankton group along the West Antarctic Peninsula

Author

Marchetti, A., Bowman, J.S., Feehan, C.J., Cassar, N., Brown, M.S., Schofield, O.M., Lin, Y., and Moreno, C.M.

Abstract

The West Antarctic Peninsula (henceforth “Peninsula”) is experiencing rapid warming and melting that is impacting the regional marine food web. The primary phytoplankton groups along the Peninsula are diatoms and cryptophytes. Relative to diatoms, there has been little focus on regional cryptophytes, and thus our understanding of their diversity and ecology is limited, especially at the species level. This gap is important, as diatoms and cryptophytes play distinct roles in the regional marine food web and biogeochemistry. Here, we use a phylogenetic placement approach with 18S rRNA gene amplicon sequence variants to assess surface ocean cryptophyte diversity and its drivers at a high taxonomic resolution along the Peninsula. Data were collected over 5 years (2012–2016) during the regional research cruises of the Palmer Long-Term Ecological Research program. Our results indicate that there are two major cryptophyte taxa along the Peninsula, consisting of distinct Geminigera spp., which in aggregate always comprise nearly 100% of the cryptophyte community (indicating low taxa evenness). The primary taxon dominates the cryptophyte community across all samples/years, which span a broad range of oceanographic conditions. A shift in cryptophyte community composition between a lower (higher) primary (secondary) taxon percentage is associated with distinct oceanographic conditions, including lower (higher) temperature, salinity, nutrients, and cryptophyte relative abundance (phytoplankton biomass and diatom relative abundance). These results emphasize the need for a full characterization of the ecology of these two taxa, as it is predicted that cryptophytes will increase along the Peninsula given projections of continued regional environmental change.

Published
2021
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5. Exploring the coupled ocean and atmosphere system with a data science approach applied to observations from the Antarctic Circumnavigation Expedition

Author

Landwehr, S., Volpi, M., Haumann, F.A., Robinson, C.M., Thurnherr, I., Ferracci, V., Baccarini, A., Thomas, J., Gorodetskaya, I., Tatzelt, C., Henning, S., Modini, R.L., Forrer, H.J., Lin, Y., Cassar, N., Simó, R., Hassler, C., Moallemi, A., Fawcett, S.E., Harris, N., Airs, R., Derkani, M.H., Alberello, A., Toffoli, A., Chen, G., Rodríguez-Ros, P., Zamanillo, M., Cortés-Greus, P., Xue, L., Bolas, C.G., Leonard, K.C., Perez-Cruz, F., Walton, D., Schmale, J., Landwehr, S., Volpi, M., Haumann, F.A., Robinson, C.M., Thurnherr, I., Ferracci, V., Baccarini, A., Thomas, J., Gorodetskaya, I., Tatzelt, C., Henning, S., Modini, R.L., Forrer, H.J., Lin, Y., Cassar, N., Simó, R., Hassler, C., Moallemi, A., Fawcett, S.E., Harris, N., Airs, R., Derkani, M.H., Alberello, A., Toffoli, A., Chen, G., Rodríguez-Ros, P., Zamanillo, M., Cortés-Greus, P., Xue, L., Bolas, C.G., Leonard, K.C., Perez-Cruz, F., Walton, D., and Schmale, J.

Abstract

The Southern Ocean is a critical component of Earth's climate system, but its remoteness makes it challenging to develop a holistic understanding of its processes from the small scale to the large scale. As a result, our knowledge of this vast region remains largely incomplete. The Antarctic Circumnavigation Expedition (ACE, austral summer 2016/2017) surveyed a large number of variables describing the state of the ocean and the atmosphere, the freshwater cycle, atmospheric chemistry, and ocean biogeochemistry and microbiology. This circumpolar cruise included visits to 12 remote islands, the marginal ice zone, and the Antarctic coast. Here, we use 111 of the observed variables to study the latitudinal gradients, seasonality, shorter-term variations, geographic setting of environmental processes, and interactions between them over the duration of 90 d. To reduce the dimensionality and complexity of the dataset and make the relations between variables interpretable we applied an unsupervised machine learning method, the sparse principal component analysis (sPCA), which describes environmental processes through 14 latent variables. To derive a robust statistical perspective on these processes and to estimate the uncertainty in the sPCA decomposition, we have developed a bootstrap approach. Our results provide a proof of concept that sPCA with uncertainty analysis is able to identify temporal patterns from diurnal to seasonal cycles, as well as geographical gradients and “hotspots” of interaction between environmental compartments. While confirming many well known processes, our analysis provides novel insights into the Southern Ocean water cycle (freshwater fluxes), trace gases (interplay between seasonality, sources, and sinks), and microbial communities (nutrient limitation and island mass effects at the largest scale ever reported). More specifically, we identify the important role of the oceanic circulations, frontal zones, and islands in shaping the nutrient avail

Published
2021

6. Exploring the coupled ocean and atmosphere system with a data science approach applied to observations from the Antarctic Circumnavigation Expedition

Author

Landwehr, S, Volpi, M, Haumann, FA, Robinson, CM, Thurnherr, I, Ferracci, V, Baccarini, A, Thomas, J, Gorodetskaya, I, Tatzelt, C, Henning, S, Modini, RL, Forrer, HJ, Lin, Y, Cassar, N, Simo, R, Hassler, C, Moallemi, A, Fawcett, SE, Harris, N, Airs, R, Derkani, MH, Alberello, A, Toffoli, A, Chen, G, Rodriguez-Ros, P, Zamanillo, M, Cortes-Greus, P, Xue, L, Bolas, CG, Leonard, KC, Perez-Cruz, F, Walton, D, Schmale, J, Landwehr, S, Volpi, M, Haumann, FA, Robinson, CM, Thurnherr, I, Ferracci, V, Baccarini, A, Thomas, J, Gorodetskaya, I, Tatzelt, C, Henning, S, Modini, RL, Forrer, HJ, Lin, Y, Cassar, N, Simo, R, Hassler, C, Moallemi, A, Fawcett, SE, Harris, N, Airs, R, Derkani, MH, Alberello, A, Toffoli, A, Chen, G, Rodriguez-Ros, P, Zamanillo, M, Cortes-Greus, P, Xue, L, Bolas, CG, Leonard, KC, Perez-Cruz, F, Walton, D, and Schmale, J

Abstract

The Southern Ocean is a critical component of Earth's climate system, but its remoteness makes it challenging to develop a holistic understanding of its processes from the small scale to the large scale. As a result, our knowledge of this vast region remains largely incomplete. The Antarctic Circumnavigation Expedition (ACE, austral summer 2016/2017) surveyed a large number of variables describing the state of the ocean and the atmosphere, the freshwater cycle, atmospheric chemistry, and ocean biogeochemistry and microbiology. This circumpolar cruise included visits to 12 remote islands, the marginal ice zone, and the Antarctic coast. Here, we use 111 of the observed variables to study the latitudinal gradients, seasonality, shorter-term variations, geographic setting of environmental processes, and interactions between them over the duration of 90 d. To reduce the dimensionality and complexity of the dataset and make the relations between variables interpretable we applied an unsupervised machine learning method, the sparse principal component analysis (sPCA), which describes environmental processes through 14 latent variables. To derive a robust statistical perspective on these processes and to estimate the uncertainty in the sPCA decomposition, we have developed a bootstrap approach. Our results provide a proof of concept that sPCA with uncertainty analysis is able to identify temporal patterns from diurnal to seasonal cycles, as well as geographical gradients and “hotspots” of interaction between environmental compartments. While confirming many well known processes, our analysis provides novel insights into the Southern Ocean water cycle (freshwater fluxes), trace gases (interplay between seasonality, sources, and sinks), and microbial communities (nutrient limitation and island mass effects at the largest scale ever reported). More specifically, we identify the important role of the oceanic circulations, frontal zones, and islands in shaping the nutr

Published
2021

8. Technique of venous outflow reconstruction and incidence of hepatic venous outflow obstruction (HVOO) following liver transplantation

Author

Cassar, N., primary, Kumarasinghe, P., additional, Khorsandi, S., additional, Papoulas, M., additional, Cortes-Cerisuelo, M., additional, Jassem, W., additional, Vilca-Melendez, H., additional, Srinivasan, P., additional, Prachalias, A., additional, Suddle, A., additional, Heaton, N., additional, and Menon, K., additional

Published
2020
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9. Expanding Tara Oceans Protocols for Underway, Ecosystemic Sampling of the Ocean-Atmosphere Interface During Tara Pacific Expedition (2016–2018)

Author

Gorsky, Gabriel, Bourdin, Guillaume, Lombard, Fabien, Pedrotti, Maria Luiza, Audrain, Samuel, Bin, Nicolas, Boss, Emmanuel, Bowler, Chris, Cassar, Nicolas, Caudan, Loic, Chabot, Genevieve, Cohen, Natalie R., Cron, Daniel, De Vargas, Colomban, Dolan, John R., Douville, Eric, Elineau, Amanda, Flores, J. Michel, Ghiglione, Jean Francois, Haentjens, Nils, Hertau, Martin, John, Seth G., Kelly, Rachel L., Koren, Ilan, Lin, Yajuan, Marie, Dominique, Moulin, Clementine, Moucherie, Yohann, Pesant, Stephane, Picheral, Marc, Poulain, Julie, Pujo-pay, Mireille, Reverdin, Gilles, Romac, Sarah, Sullivan, Mathew B., Trainic, Miri, Tressol, Marc, Trouble, Romain, Vardi, Assaf, Voolstra, Christian R., Wincker, Patrick, Agostini, Sylvain, Banaigs, Bernard, Boissin, Emilie, Forcioli, Didier, Furla, Paola, Galand, Pierre E., Gilson, Eric, Reynaud, Stephanie, Sunagawa, Shinichi, Thomas, Olivier P., Thurber, Rebecca Lisette Vega, Zoccola, Didier, Planes, Serge, Allemand, Denis, Karsenti, Eric, Planes, S., Banaig, B., Boissin, E., Iwankow, G., Allemand, D., Zoccola, D., Reynaud, S., Beraud, E., Djerbi, N., Forcioli, D., Furla, P., Gilson, E., Mcmind, R., Ottaviani, A., Rottinger, E., Rouan, A., Zamoum, T., Flume, B. C. C., Pogoreutz, C., Voolstra, C. R., Rothig, T., Ziegler, M., Paoli, L., Ruscheweyh, H-j, Salazar, G., Sunagawa, S., Flores, J. M., Koren, I, Trainic, M., Lang-yona, N., Vardi, A., Conan, P., Ghiglione, J-f, Pujo-pay, M., Galand, P. E., Hochart, C., Audrain, S., Bourgois, E., Hertau, M., Lancelot, J., Monmarche, D., Moulin, C., Moucherie, Y., Trouble, R., Boss, E., Bourdin, G., Haentjens, N., Karp-boss, L., Agostini, S., Mitsuhashi, G., Kitano, Y., Da Silva, O., Dolan, J. R., Gorsky, G., Lemee, R., Lombard, F., Pedrotti, M-l, Cronin, D., Sullivan, M., Armstrong, E., Aury, J-m, Barbe, V, Belser, C., Carradec, Q., Labadie, K., Le-hoang, J., Noel, B., Poulain, J., Wincker, P., Klinges, G., Vega-thunder, R., Bonnival, E., De Vargas, C., Henry, N., Marie, D., Romac, S., Pesant, S., Miguel-gorda, M., Thomas, O. P., Bowler, C., Friedrich, R., Cassar, N., Lin, Y., John, S. G., Kelly, R. L., Cohen, N. R., Reverdin, G., Filee, J., Pedrotti, Maria Luiza, Organisation et montée en puissance d'une Infrastructure Nationale de Génomique - - France-Génomique2010 - ANR-10-INBS-0009 - INBS - VALID, Laboratoires d'excellence - LabexMER Marine Excellence Research: a changing ocean - - LabexMER2010 - ANR-10-LABX-0019 - LABX - OLD, Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Maine, Tara Expéditions, Institut de biologie de l'Ecole Normale Supérieure (IBENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Nicholas School of the Environment, Duke University [Durham], Mercator Océan, Société Civile CNRS Ifremer IRD Météo-France SHOM, Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Woods Hole Oceanographic Institution (WHOI), Evolution des Protistes et Ecosystèmes Pélagiques (EPEP), Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Géochrononologie Traceurs Archéométrie (GEOTRAC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Department of Earth and Planetary Science [Rehovot], Weizmann Institute of Science [Rehovot, Israël], Laboratoire d'Océanographie Microbienne (LOMIC), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Observatoire océanologique de Banyuls (OOB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), University of Southern California (USC), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Center for Marine Environmental Sciences [Bremen] (MARUM), Universität Bremen, Data Publisher for Earth and Environmental Science (PANGAEA), University of Bremen, Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Processus et interactions de fine échelle océanique (PROTEO), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - 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CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Universität Konstanz, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Shimoda Marine Research Center, Université de Tsukuba = University of Tsukuba, Laboratoire d'Excellence CORAIL (LabEX CORAIL), Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de La Réunion (UR)-Université de la Polynésie Française (UPF)-Université de la Nouvelle-Calédonie (UNC)-Institut d'écologie et environnement-Université des Antilles (UA), Centre de recherches insulaires et observatoire de l'environnement (CRIOBE), Université de Perpignan Via Domitia (UPVD)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Symbiose Marine (SM), Evolution Paris Seine, Université des Antilles et de la Guyane (UAG)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles et de la Guyane (UAG)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Dpt génétique médicale [CHU Nice], Centre Hospitalier Universitaire de Nice (CHU Nice), Laboratoire d'Ecogéochimie des environnements benthiques (LECOB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Observatoire océanologique de Banyuls (OOB), Centre Scientifique de Monaco (CSM), Department of Biology [ETH Zürich] (D-BIOL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), National University of Ireland [Galway] (NUI Galway), Oregon State University (OSU), European Molecular Biology Laboratory [Heidelberg] (EMBL), TARA, ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), ANR-10-LABX-0019,LabexMER,LabexMER Marine Excellence Research: a changing ocean(2010), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire océanologique de Banyuls (OOB), Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Université des Antilles (UA)-Institut d'écologie et environnement-Université de la Nouvelle-Calédonie (UNC)-Université de la Polynésie Française (UPF)-Université de La Réunion (UR)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Université des Antilles et de la Guyane (UAG)-Institut de Recherche pour le Développement (IRD), Université des Antilles et de la Guyane (UAG)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles et de la Guyane (UAG)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Nice Sophia Antipolis (... - 2019) (UNS), Université Nice Sophia Antipolis (... - 2019) (UNS), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École Pratique des Hautes Études (EPHE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, lcsh:QH1-199.5, [SDE.MCG]Environmental Sciences/Global Changes, trace metals, Ocean Engineering, neuston, Aquatic Science, lcsh:General. Including nature conservation, geographical distribution, Oceanography, 01 natural sciences, Pacific ocean, taxonomy, neuston/plankton genomics/taxonomy/imaging, ddc:570, Ecosystem, 14. Life underwater, lcsh:Science, Reef, 0105 earth and related environmental sciences, Water Science and Technology, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Global and Planetary Change, geography, geography.geographical_feature_category, aerosols, NCP, IOP, microplastic, plankton genomics, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, ACL, 010604 marine biology & hydrobiology, Community structure, imaging, Pelagic zone, Plankton, Inlet, neuston/plankton genomics/taxonomy/imaging, aerosols, NCP, IOP, trace metals, microplastic, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.MCG] Environmental Sciences/Global Changes, 13. Climate action, lcsh:Q, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Neuston
Abstract

Interactions between the ocean and the atmosphere occur at the air-sea interface through the transfer of momentum, heat, gases and particulate matter, and through the impact of the upper-ocean biology on the composition and radiative properties of this boundary layer. The Tara Pacific expedition, launched in May 2016 aboard the schooner Tara, was a 29-month exploration with the dual goals to study the ecology of reef ecosystems along ecological gradients in the Pacific Ocean and to assess inter-island and open ocean surface plankton and neuston community structures. In addition, key atmospheric properties were measured to study links between the two boundary layer properties. A major challenge for the open ocean sampling was the lack of ship-time available for work at “stations”. The time constraint led us to develop new underway sampling approaches to optimize physical, chemical, optical, and genomic methods to capture the entire community structure of the surface layers, from viruses to metazoans in their oceanographic and atmospheric physicochemical context. An international scientific consortium was put together to analyze the samples, generate data, and develop datasets in coherence with the existing Tara Oceans database. Beyond adapting the extensive Tara Oceans sampling protocols for high-resolution underway sampling, the key novelties compared to Tara Oceans’ global assessment of plankton include the measurement of (i) surface plankton and neuston biogeography and functional diversity; (ii) bioactive trace metals distribution at the ocean surface and metal-dependent ecosystem structures; (iii) marine aerosols, including biological entities; (iv) geography, nature and colonization of microplastic; and (v) high-resolution underway assessment of net community production via equilibrator inlet mass spectrometry. We are committed to share the data collected during this expedition, making it an important resource important resource to address a variety of scientific questions. ISSN:2296-7745

Published
2019
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10. The Tara Pacific expedition-A pan-ecosystemic approach of the '-omics' complexity of coral reef holobionts across the Pacific Ocean

Author

Planes, Serge, Allemand, Denis, Agostini, Sylvain, Banaigs, Bernard, Boissin, Emilie, Boss, Emmanuel, Bourdin, Guillaume, Bowler, Chris, Douville, Eric, Flores, J. Michel, Forcioli, Didier, Furla, Paola, Galand, Pierre E., Ghiglione, Jean-francois, Gilson, Eric, Lombard, Fabien, Moulin, Clementine, Pesant, Stephane, Poulain, Julie, Reynaud, Stephanie, Romac, Sarah, Sullivan, Matthew B., Sunagawa, Shinichi, Thomas, Olivier P., Trouble, Romain, De Vargas, Colomban, Thurber, Rebecca Vega, Voolstra, Christian R., Wincker, Patrick, Zoccola, Didier, Planes, S., Allemand, D., Agostini, S., Armstrong, E., Audrain, S., Aury, J-m, Banaig, B., Barbe, V, Belser, C., Beraud, E., Boissin, E., Bonnival, E., Boss, E., Bourdin, G., Bourgois, E., Bowler, C., Carradec, Q., Cassar, N., Cohen, N. R., Conan, P., Cronin, D. R., Da Silva, O., De Vargas, C., Djerbi, N., Dolan, J. R., Herta, Dominguez G., Du J, Filee, J., Flores, J. M., Forcioli, D., Friedrich, R., Furla, P., Galand, P. E., Ghiglione, J-f, Gilson, E., Gorsky, G., Guinther, M., Haentjens, N., Henry, N., Hertau, M., Hochart, C., Hume, B. C. C., Iwankow, G., John, S. G., Karp-boss, L., Kelly, R. L., Kitano, Y., Klinges, G., Koren, I, Labadie, K., Lancelot, J., Lang-yona, N., Le-hoang, J., Lemee, R., Lin, Y., Lombard, F., Marie, D., Mcmind, R., Miguel-gordo, M., Trainic, M., Monmarche, D., Moulin, C., Mucherie, Y., Noel, B., Ottaviani, A., Paoli, L., Pedrotti, M-l, Pesant, S., Pogoreutz, C., Poulain, J., Pujo-pay, M., Reverdin, G., Reynaud, S., Romac, S., Rothig, T., Rottinger, E., Rouan, A., Ruscheweyh, H-j, Salazar, G., Sullivan, M. B., Sunagawa, S., Thomas, O. P., Trouble, R., Vardi, A., Vega-thunder, R., Voolstra, C. R., Wincker, P., Zahed, A., Zamoum, T., Ziegler, M., Zoccola, D., Centre de recherches insulaires et observatoire de l'environnement (CRIOBE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Excellence CORAIL (LabEX CORAIL), Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de La Réunion (UR)-Université de la Polynésie Française (UPF)-Université de la Nouvelle-Calédonie (UNC)-Institut d'écologie et environnement-Université des Antilles (UA), Centre Scientifique de Monaco (CSM), Tara Expéditions, Shimoda Marine Research Center, Université de Tsukuba = University of Tsukuba, University of Maine, Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de biologie de l'ENS Paris (IBENS), Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Géochrononologie Traceurs Archéométrie (GEOTRAC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Department of Earth and Planetary Science [Rehovot], Weizmann Institute of Science [Rehovot, Israël], Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Laboratoire d'Ecogéochimie des environnements benthiques (LECOB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Observatoire océanologique de Banyuls (OOB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Océanographie Microbienne (LOMIC), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Observatoire océanologique de Banyuls (OOB), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Center for Marine Environmental Sciences [Bremen] (MARUM), Universität Bremen, Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), ECOlogy of MArine Plankton (ECOMAP), Adaptation et diversité en milieu marin (ADMM), Institut national des sciences de l'Univers (INSU - CNRS)-Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Station biologique de Roscoff (SBR), Ohio State University [Columbus] (OSU), Department of Biology [ETH Zürich] (D-BIOL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), National University of Ireland [Galway] (NUI Galway), Oregon State University (OSU), University of Konstanz, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Génomique métabolique (UMR 8030), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Duke University [Durham], Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Department of Marine Chemistry and Geochemistry (WHOI), Woods Hole Oceanographic Institution (WHOI), Évolution, génomes, comportement et écologie (EGCE), Université Paris-Sud - Paris 11 (UP11)-IRD-Centre National de la Recherche Scientifique (CNRS), Department of Earth Sciences [USC Los Angeles], University of Southern California (USC), Martin Ryan Institute, Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), University of Derby [United Kingdom], Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), ANR-17-CE02-0020,CORALGENE,Complexité génomique de l'holobionte ' corail ' à l'échelle du Pacifique(2017), Université de Perpignan Via Domitia (UPVD)-École pratique des hautes études (EPHE), Université des Antilles (UA)-Institut d'écologie et environnement-Université de la Nouvelle-Calédonie (UNC)-Université de la Polynésie Française (UPF)-Université de La Réunion (UR)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Université des Antilles et de la Guyane (UAG)-Institut de Recherche pour le Développement (IRD), Institut de biologie de l'ENS Paris (UMR 8197/1024) (IBENS), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Université Nice Sophia Antipolis (... - 2019) (UNS), Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire océanologique de Banyuls (OOB), Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-IRD-Université Paris-Sud - Paris 11 (UP11), Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Justus-Liebig-Universität Gießen (JLU), Institut Universitaire Européen de la Mer (IUEM), and Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO)

Subjects
0301 basic medicine, Topography, Coral reefs, Effects of global warming on oceans, Coral, Biodiversity, Marine and Aquatic Sciences, Ecosystem services, 0302 clinical medicine, Community Page, Oceans, Biology (General), Islands, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, geography.geographical_feature_category, Ecology, Microbiota, General Neuroscience, Eukaryota, Coral reef, Anthozoa, Plankton, Holobiont, Corals, Expeditions, General Agricultural and Biological Sciences, Marine ecosystems, QH301-705.5, Climate change, Marine Biology, Biology, Ecosystems, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, ddc:570, Animals, Metabolomics, Marine ecosystem, 14. Life underwater, Symbiosis, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, Landforms, geography, Pacific Ocean, General Immunology and Microbiology, ACL, Ecology and Environmental Sciences, Organisms, Biology and Life Sciences, Geomorphology, Bodies of Water, 15. Life on land, Invertebrates, 030104 developmental biology, 13. Climate action, Earth Sciences, Reefs, Metagenomics, Reef ecosystems, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 030217 neurology & neurosurgery
Abstract

Coral reefs are the most diverse habitats in the marine realm. Their productivity, structural complexity, and biodiversity critically depend on ecosystem services provided by corals that are threatened because of climate change effects—in particular, ocean warming and acidification. The coral holobiont is composed of the coral animal host, endosymbiotic dinoflagellates, associated viruses, bacteria, and other microeukaryotes. In particular, the mandatory photosymbiosis with microalgae of the family Symbiodiniaceae and its consequences on the evolution, physiology, and stress resilience of the coral holobiont have yet to be fully elucidated. The functioning of the holobiont as a whole is largely unknown, although bacteria and viruses are presumed to play roles in metabolic interactions, immunity, and stress tolerance. In the context of climate change and anthropogenic threats on coral reef ecosystems, the Tara Pacific project aims to provide a baseline of the “-omics” complexity of the coral holobiont and its ecosystem across the Pacific Ocean and for various oceanographically distinct defined areas. Inspired by the previous Tara Oceans expeditions, the Tara Pacific expedition (2016–2018) has applied a pan-ecosystemic approach on coral reefs throughout the Pacific Ocean, drawing an east–west transect from Panama to Papua New Guinea and a south–north transect from Australia to Japan, sampling corals throughout 32 island systems with local replicates. Tara Pacific has developed and applied state-of-the-art technologies in very-high-throughput genetic sequencing and molecular analysis to reveal the entire microbial and chemical diversity as well as functional traits associated with coral holobionts, together with various measures on environmental forcing. This ambitious project aims at revealing a massive amount of novel biodiversity, shedding light on the complex links between genomes, transcriptomes, metabolomes, organisms, and ecosystem functions in coral reefs and providing a reference of the biological state of modern coral reefs in the Anthropocene., This Community Page article presents the Tara Pacific expedition, which aims to shed light on the complex links between genomes, transcriptomes, metabolomes, organisms, and ecosystem functions in coral reefs, and providing a reference of the biological state of modern reef systems.

Published
2019
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11. Revisiting the distribution of oceanic N 2 fixation and estimating diazotrophic contribution to marine production

Author

Fonseca-Batista, D., Dehairs, F., Wang, S., Sarthou, G., Planquette, H., Tang, W., Gallinari, M., Gifford, S., Gonzalez, A.G., and Cassar, N.

Abstract

Marine N 2 fixation supports a significant portion of oceanic primary production by making N 2 bioavailable to planktonic communities, in the process influencing atmosphere-ocean carbon fluxes and our global climate. However, the geographical distribution and controlling factors of marine N 2 fixation remain elusive largely due to sparse observations. Here we present unprecedented high-resolution underway N 2 fixation estimates across over 6000 kilometers of the western North Atlantic. Unexpectedly, we find increasing N 2 fixation rates from the oligotrophic Sargasso Sea to North America coastal waters, driven primarily by cyanobacterial diazotrophs. N 2 fixation is best correlated to phosphorus availability and chlorophyll-a concentration. Globally, intense N 2 fixation activity in the coastal oceans is validated by a meta-analysis of published observations and we estimate the annual coastal N 2 fixation flux to be 16.7 Tg N. This study broadens the biogeography of N 2 fixation, highlights the interplay of regulating factors, and reveals thriving diazotrophic communities in coastal waters with potential significance to the global nitrogen and carbon cycles.

Published
2019
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14. Neural network-based estimates of Southern Ocean net community production from in situ O2 / Ar and satellite observation: a methodological study

Author

Chang, C.-H., Johnson, N. C., and Cassar, N.

Subjects
lcsh:Geology, lcsh:QH501-531, lcsh:QH540-549.5, lcsh:QE1-996.5, lcsh:Life, lcsh:Ecology
Abstract

Southern Ocean organic carbon export plays an important role in the global carbon cycle, yet its basin-scale climatology and variability are uncertain due to limited coverage of in situ observations. In this study, a neural network approach based on the self-organizing map (SOM) is adopted to construct weekly gridded (1° × 1°) maps of organic carbon export for the Southern Ocean from 1998 to 2009. The SOM is trained with in situ measurements of O2 / Ar-derived net community production (NCP) that are tightly linked to the carbon export in the mixed layer on timescales of one to two weeks and with six potential NCP predictors: photosynthetically available radiation (PAR), particulate organic carbon (POC), chlorophyll (Chl), sea surface temperature (SST), sea surface height (SSH), and mixed layer depth (MLD). This nonparametric approach is based entirely on the observed statistical relationships between NCP and the predictors and, therefore, is strongly constrained by observations. A thorough cross-validation yields three retained NCP predictors, Chl, PAR, and MLD. Our constructed NCP is further validated by good agreement with previously published, independent in situ derived NCP of weekly or longer temporal resolution through real-time and climatological comparisons at various sampling sites. The resulting November–March NCP climatology reveals a pronounced zonal band of high NCP roughly following the Subtropical Front in the Atlantic, Indian, and western Pacific sectors, and turns southeastward shortly after the dateline. Other regions of elevated NCP include the upwelling zones off Chile and Namibia, the Patagonian Shelf, the Antarctic coast, and areas surrounding the Islands of Kerguelen, South Georgia, and Crozet. This basin-scale NCP climatology closely resembles that of the satellite POC field and observed air–sea CO2 flux. The long-term mean area-integrated NCP south of 50° S from our dataset, 17.9 mmol C m−2 d−1, falls within the range of 8.3 to 24 mmol C m−2 d−1 from other model estimates. A broad agreement is found in the basin-wide NCP climatology among various models but with significant spatial variations, particularly in the Patagonian Shelf. Our approach provides a comprehensive view of the Southern Ocean NCP climatology and a potential opportunity to further investigate interannual and intraseasonal variability.

Published
2014

17. Ice melt influence on summertime net community production along the Western Antarctic Peninsula

Author

Eveleth, R., Cassar, N., Sherrell, R.M., Ducklow, H., Meredith, M.P., Venables, H.J., Lin, Y., Li, Z., Eveleth, R., Cassar, N., Sherrell, R.M., Ducklow, H., Meredith, M.P., Venables, H.J., Lin, Y., and Li, Z.

Abstract

The Western Antarctic Peninsula (WAP) is a highly productive marine environment that is undergoing rapid change, with consequences for productivity and total ecosystem carbon cycling. We present continuous underway O2/Ar estimates of net community production (NCPO2Ar) in austral summer 2012, 2013 and 2014 at sub-kilometer horizontal resolution within the Palmer Long-Term Ecological Research (Pal-LTER) grid region of the WAP. Substantial spatial variability is observed with NCPO2Ar ranging from 0 to 790 mmol O2 m−2 d−1 and considerable interannual variability with mean values in the grid region of 54.4±48.5, 44.6±40.5, and 85.6±75.9 mmol O2 m−2 d−1 in 2012, 2013 and 2014 respectively. Based on a strong correlation (r2=0.83) between residence time integrated NCPO2Ar and NCPDIC derived from seasonal DIC drawdown, we find the observed NCPO2Ar spatial and interannual variability to be consistent with the December–January NCPDIC magnitude. Seeking to explain the mechanistic drivers of NCP in the WAP, we observe a linear relationship between NCPO2Ar and meteoric water content derived from δ18O and salinity. This correlation may be due to Fe supply from glacial melt and/or strengthening of stratification and relief of light limitation. Elevated surface Fe availability, as indicated by Fv/Fm and measurements of surface water dissolved Fe and Mn (a rough proxy for recent potential Fe availability), and shallower, more stable mixed layers are present where meteoric water and/or sea ice melt is high near the coast. Light limitation is evident in the WAP when mixed layer depths are greater than ~40 m. Additionally we document hotspots of NCP associated with submarine canyons along the WAP. While it is difficult to predict how the physical-biological system might evolve under changing climatic conditions, it is evident that NCP, and potentially carbon flux out of the mixed layer, along the WAP will be sensitive to shifts in meltwater input and timing.

Published
2017

20. Biological production in the Bellingshausen Sea from oxygen-to-argon ratios and oxygen triple isotopes

Author

Castro-Morales, K., Cassar, N., and Kaiser, J.

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, 13. Climate action, 010604 marine biology & hydrobiology, 14. Life underwater, 01 natural sciences, 0105 earth and related environmental sciences
Abstract

We present estimates of mixed layer net community oxygen production (N) and gross oxygen production (G) of the Bellingshausen Sea in March and April 2007. N was derived from oxygen-to-argon (O2 / Ar) ratios; G was derived using the dual-delta method from triple oxygen isotope measurements. In addition, O2 profiles were collected at 253 CTD stations. N is often approximated by the biological oxygen air-sea exchange flux (Fbio) based on the O2 / Ar supersaturation, assuming that significant horizontal or vertical fluxes are absent. Here, we show that the effect of vertical fluxes alone can account for Fbio values < 0 in large parts of the Bellingshausen Sea towards the end of the productive season, which could be mistaken to represent net heterotrophy. Thus, improved estimates of mixed-layer N can be derived from the sum of Fbio, Fe (entrainment from the upper thermocline during mixed-layer deepening) and Fv (diapycnal eddy diffusion across the base of the mixed layer). In the Winter Sea Ice Zone (WSIZ), the corresponding correction results in a small change of Fbio= (30 ± 17) mmol m−2 d−1 to N= (34 ± 17) mmol m−2 d−1. However, in the permanent open ocean zone (POOZ), the original Fbio value of (−17 ± 10) mmol m−2 d−1 gives a corrected value for N of (−2 ± 18) mmol m−2 d−1. We hypothesize that in the WSIZ enhanced water column stability due to the release of freshwater and nutrients from sea-ice melt may account for the higher N-value. These results stress the importance of accounting for physical biases when estimating mixed layer-marine productivity from in situ O2 / Ar ratios.

Published
2012
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22. A First synthesis of the GEOTRACES issues from the IPY BONUS GOODHOPE cruise in the Southern Ocean

Author

Boyé, M., Achterberg, E., Bown, J., Bucciarelli, E., Cardinal, D., Cassar, N., Cavagna, Anne Julie, Chever, F., Dehairs, Frank, Et, Al., Chemistry, Analytical and Environmental Chemistry, Earth System Sciences, and Analytical, Environmental & Geo-Chemistry

Abstract

Trace metals play a key role in marine ecosystems. Several oceanic processes can be inferred by trace elements and isotopes such as production and export to deep waters, water-masses ventilation and pathways, sedimentary and atmospheric sources. The multi-tracers approach is a key issue of the international GEOTRACES program which had its flying start in IPY 2007-2008. The Bonus-Goodhope expedition took place in the Atlantic sector of the Southern Ocean during late summer 2008 onboard Marion Dufresne. The section departed from Capetown and reached 57°S in the northern part of the Weddel Gyre along the zero meridian. Fe concentrations in the subtropical region reflect atmospheric inputs from South Africa advected by Indian Ocean waters or from Patagonia,and/or South-African margin inputs through eddy transportation. Deep-sea plumes of high Fe over the ocean ridge crests and in AABW are likely due to sedimentary resuspension. Fe isotopes will bring further constrains on the Fe cycle. Suspended particle compositions confirm the transport of margin material towards the ACC core. Dissolved Al, Mn, Cd, Co, Zn in combination with their speciation, the ocean and atmospheric biogeochemistry and dynamics in the section will further highlight the internal cycle of these elements. Inferences from the O 2 /Ar and oxygen isotope measurements, and 15 N uptake rates indicate high regenerated production in the oligotrophic subtropical domain, and beyond as well as at the SACCF. New production accounts for up to 40-60% of the production in the subantarctic region toward the southern side of the Polar Front, the later consisting of a late summer diatom post-bloom. Export fluxes and remineralization processes assessed by 234 Th/ 238 U and 210 Po/ 210 Pb disequilibria and particulate biogenic Bainventories, suggest relatively higher export carbon fluxes from the mixed layer in the PFZ, the PF, the SACCF and in the Antarctic Zone, and remineralization rates that are more significant in the mesopelagic zone in the PFZ. The lowest export flux of the section is observed in the Weddel Gyre, and the lowest remineralization rates in the SAZ and STZ. The CFC’s, Si* signatures and macro-nutrients were powerful tracers for tracking water-masses and the mesoscale structures that crossed the section. Finally Bonus-Goodhope and Zero&Drake aboard Polarstern achieved intercalibration stations for TEI’s providing crucial statements to accurately interpret the whole transect of several TEI’s from Capetown to the Antarctic Peninsula along the zero meridian during IPY.

Published
2010

23. Interannual sea–air CO2 flux variability from an observation-driven ocean mixed-layer scheme

Author

Roedenbeck, C., Bakker, D. C. E., Metzl, N., Olsen, A., Sabine, C., Cassar, N., Reum, F., Keeling, R. F., Heimann, M., Roedenbeck, C., Bakker, D. C. E., Metzl, N., Olsen, A., Sabine, C., Cassar, N., Reum, F., Keeling, R. F., and Heimann, M.

Abstract

Interannual anomalies in the sea–air carbon dioxide (CO2) exchange have been estimated from surface-ocean CO2 partial pressure measurements. Available data are sufficient to constrain these anomalies in large parts of the tropical and North Pacific and in the North Atlantic, in some areas covering the period from the mid 1980s to 2011. Global interannual variability is estimated as about 0.31 Pg C yr−1 (temporal standard deviation 1993–2008). The tropical Pacific accounts for a large fraction of this global variability, closely tied to El Niño–Southern Oscillation (ENSO). Anomalies occur more than 6 months later in the east than in the west. The estimated amplitude and ENSO response are roughly consistent with independent information from atmospheric oxygen data. This both supports the variability estimated from surface-ocean carbon data and demonstrates the potential of the atmospheric oxygen signal to constrain ocean biogeochemical processes. The ocean variability estimated from surface-ocean carbon data can be used to improve land CO2 flux estimates from atmospheric inversions.

Published
2014
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27. Biological production in the Bellingshausen Sea from oxygen-to-argon ratios and oxygen triple isotopes

Author

Castro-Morales, K., Cassar, N., Shoosmith, D.R., Kaiser, J., Castro-Morales, K., Cassar, N., Shoosmith, D.R., and Kaiser, J.

Abstract

We present estimates of mixed-layer net community oxygen production (N) and gross oxygen production (G) of the Bellingshausen Sea in March and April 2007. N was derived from oxygen-to-argon (O2/Ar) ratios; G was derived using the dual-delta method from triple oxygen isotope measurements. In addition, O2 profiles were collected at 253 CTD stations. N is often approximated by the biological oxygen air–sea exchange flux (Fbio based on the O2/Ar supersaturation, assuming that significant horizontal or vertical fluxes are absent. Here we show that the effect of vertical fluxes alone can account for Fbio values < 0 in large parts of the Bellingshausen Sea towards the end of the productive season, which could otherwise be mistaken to represent net heterotrophy. Thus, improved estimates of mixed-layer N can be derived from the sum of Fbio, Fe (entrainment from the upper thermocline during mixed-layer deepening) and Fv (diapycnal eddy diffusion across the base of the mixed layer). In the winter sea ice zone (WSIZ), the corresponding correction results in a small change of Fbio = (30 ± 17) mmol m−2 d−1 to N = (34 ± 17) mmol m−2 d−1. However, in the permanent open ocean zone (POOZ), the original Fbio value of (−17 ± 10) mmol m−2 d−1 gives a corrected value for N of (−2 ± 18) mmol m−2 d−1. We hypothesize that in the WSIZ, enhanced water column stability due to the release of freshwater and nutrients from sea ice melt may account for the higher N value. These results stress the importance of accounting for physical biases when estimating mixed-layer marine productivity from in situ O2/Ar ratios.

Published
2013

28. The influence of iron and light on net community production in the Subantarctic and Polar Frontal Zones

Author

Cassar, N, Difiore, P, Barnett, B, Bender, M, Bowie, A, Tilbrook, B, Westwood, K, Wright, S, Lefevre, D, Petrou, K, Cassar, N, Difiore, P, Barnett, B, Bender, M, Bowie, A, Tilbrook, B, Westwood, K, Wright, S, Lefevre, D, and Petrou, K

Abstract

The roles of iron and light in controlling biomass and primary productivity are clearly established in the Southern Ocean. However, their influence on net community production (NCP) and carbon export remains to be quantified. To improve our understanding

Published
2011

29. Observatoire de l’expansion Caulerpa taxifolia en Méduterranée: situation au 31 Décembre 1997

Author

Meinesz, A., Cottalorda, J.M., Chiaverini, D., Cassar, N., de Vaugelas, J., Antolić, Boris, Ballesteros, E., Belsher, T., Ceccherelli, G., Cinelli, F., Orestano, C., Grau, A.M., Jaklin, Andrej, Pou, S., Špan, Ante, Zavodnik, Nevenka, Žuljević, Ante, and Gravez V., Boudouresque C. F., Meinesz A., Scabbia G.

Subjects
Caulerpa taxifolia, observatoire, l'expansion, Mediterranee, fin 1997
Abstract

Grace a un effort soutenu de sensibilisation des plngeurs pecheurs et plaisanciers, de nombreuses donnees cartographiques sur Caulerpa taxifolia on ete recueillies en 1997 par les centres nationaux de coordination du suivi de l’invasion. La plupart des colonies connues en 1996 ont ete de nouveau cartographiees pour evaleuer leur expansion. La synthese de l’ensemble des donnees recueillies au cours de l’annee 1997 se resume ainsi: - 99 zones de colonisation independantes ont ete inventoriees. Les 30 nouvelles zones colonisees repertoriees en 1997 ont ete decouvertes essentiellement dans un rayon de 5 km de celles connues en 1996. Seule une colonie eloignee de plus de 50 km de celles connues en 1996 a ete decouverte a proximite du port de Chiavari, a l’est de Genova, - la surgace totale concernee par l’expansion se Caulerpa taxifolia en Mediterranee a ete evaluee a 4630 ha (3052 fin 1996), - 97 % des surfaces concernees se trouvent toujours entre Toulon (France) et Genova (Italie), le lineaire de cote devant lequel on trouve l’algue est de 81,7 km (58 km en 1996). Ce septieme etat de la situation de l’wxpansion de Caulerpa taxifolia montre, comme pour les annees precedentes, que la progression de l’algue est reguliere et importante.

Published
1999

30. A first look at GEOTRACES issues from the IPY BONUS-GOODHOPE cruise in the Southern Ocean

Author

Boye, M., Achterberg, Eric P., Bown, J., Buccirelli, E., Cardinal, D., Cassar, N., Cavagna, A. J., Chever, F., Dehairs, F., Fine, R. A., Happell, J., Joubert, W., Le Moigne, Frederic A. C., Masque, P., Monteiro, P., Planchon, F., Sarthou, G., Verdeny, E., Wake, B., Waldron, H., Boye, M., Achterberg, Eric P., Bown, J., Buccirelli, E., Cardinal, D., Cassar, N., Cavagna, A. J., Chever, F., Dehairs, F., Fine, R. A., Happell, J., Joubert, W., Le Moigne, Frederic A. C., Masque, P., Monteiro, P., Planchon, F., Sarthou, G., Verdeny, E., Wake, B., and Waldron, H.

Published
2010

31. A first look at GEOTRACES issues from the IPY BONUS-GOODHOPE cruise in the Southern Ocean

Author

Boye, M., Achterberg, Eric P., Bown, J., Buccirelli, E., Cardinal, D., Cassar, N., Cavagna, A. J., Chever, F., Dehairs, F., Fine, R. A., Happell, J., Joubert, W., Le Moigne, Frederic A. C., Masque, P., Monteiro, P., Planchon, F., Sarthou, G., Verdeny, E., Wake, B., Waldron, H., Boye, M., Achterberg, Eric P., Bown, J., Buccirelli, E., Cardinal, D., Cassar, N., Cavagna, A. J., Chever, F., Dehairs, F., Fine, R. A., Happell, J., Joubert, W., Le Moigne, Frederic A. C., Masque, P., Monteiro, P., Planchon, F., Sarthou, G., Verdeny, E., Wake, B., and Waldron, H.

Published
2009

32. A first look at GEOTRACES issues from the IPY BONUS-GOODHOPE cruise in the Southern Ocean

Author

Boye, M., Achterberg, Eric P., Bown, J., Buccirelli, E., Cardinal, D., Cassar, N., Cavagna, A. J., Chever, F., Dehairs, F., Fine, R. A., Happell, J., Joubert, W., Le Moigne, Frederic A. C., Masque, P., Monteiro, P., Planchon, F., Sarthou, G., Verdeny, E., Wake, B., Waldron, H., Boye, M., Achterberg, Eric P., Bown, J., Buccirelli, E., Cardinal, D., Cassar, N., Cavagna, A. J., Chever, F., Dehairs, F., Fine, R. A., Happell, J., Joubert, W., Le Moigne, Frederic A. C., Masque, P., Monteiro, P., Planchon, F., Sarthou, G., Verdeny, E., Wake, B., and Waldron, H.

Published
2008

34. Second international campaign for public awareness of the Caulerpa taxifolia problem. An essential tool to collect cartographic data and to slow down the spread of this alga

Author

Cottalorda, J.M., Gravez, V., Antolić, Boris, Aranda, A., Ballesteros, E., Boudouresque, C.F., Cassar, N., Cinelli, F., Darder Ribot, J.D., Orestano, C., Grau Jofre, A., Jaklin, Andrej, Meinesz, A., Rodriguez-Pietro, C., Špan, Ante, Thibaut, T., de Vaugelas, J., Zavodnik, Nevenka, Žuljević, Ante, Boudouresque, C.F., Gravez, V., Meinesz, A., and Palluy, F.

Subjects
Caulerpa taxifolia, public informant networks, cartographyc data, Mediterranean Sea
Abstract

Accidentaly introduced into the Mediterranean sea in 1984, the tropical alga Caulerpa taxifolia did not stop to spread since then. The ecological and economic threats related to this invasion incited scientist to organize a second international campaign of sensitisation, research and prevention. In 1997, 45.000 leaflets published in 6 languages (French, Italian, Castilian, Catalan, Croatian, and English) were distributed to sea users. The aim is to provide the sea users with precise and updated information on results published since 1990. A description of the alga and advice to reduce man-made dissemination are presented. Divers, yachtsmen, fishermen, and port administrators are requested to warn scientists in charge of C.taxifolia about any new sighting of colonies. This campaign enables the establishment and the consolidation of national and international informant networks which are crucial to the yearly assessment of C.taxifolia spreading in the Mediterranean sea. The expansion of the alga is one of the main element to take into account in the elaboration of a prevention strategy to fight C.taxifolia progression.

Published
1998

48. Neural network-based estimates of Southern Ocean net community production from in situ O2/Ar and satellite observation: a methodological study.

Author

Chang, C.-H., Johnson, N. C., and Cassar, N.

Subjects
NEURAL circuitry, NATURAL satellites, OXYGEN, ARGON, CARBON cycle, CLIMATOLOGY
Abstract

Southern Ocean organic carbon export plays an important role in the global carbon cycle, yet its basin-scale climatology and variability are uncertain due to limited coverage of in situ observations. In this study, a neural network approach based on the self-organizing map (SOM) is adopted to construct weekly gridded (1° x 1°) maps of organic carbon export for the Southern Ocean from 1998 to 2009. The SOM is trained with in situ measurements of O2/Ar-derived net community production (NCP) that are tightly linked to the carbon export in the mixed layer on timescales of one to two weeks and with six potential NCP predictors: photosynthetically available radiation (PAR), particulate organic carbon (POC), chlorophyll (Chl), sea surface temperature (SST), sea surface height (SSH), and mixed layer depth (MLD). This nonparametric approach is based entirely on the observed statistical relationships between NCP and the predictors and, therefore, is strongly constrained by observations. A thorough cross-validation yields three retained NCP predictors, Chl, PAR, and MLD. Our constructed NCP is further validated by good agreement with previously published, independent in situ derived NCP of weekly or longer temporal resolution through real-time and climatological comparisons at various sampling sites. The resulting November-March NCP climatology reveals a pronounced zonal band of high NCP roughly following the Subtropical Front in the Atlantic, Indian, and western Pacific sectors, and turns south-eastward shortly after the dateline. Other regions of elevated NCP include the upwelling zones off Chile and Namibia, the Patagonian Shelf, the Antarctic coast, and areas surrounding the Islands of Kerguelen, South Georgia, and Crozet. This basin-scale NCP climatology closely resembles that of the satellite POC field and observed air-sea CO2 flux. The long-term mean area-integrated NCP south of 50° S from our dataset, 17.9mmol C m-2 d-1, falls within the range of 8.3 to 24mmol C m-2d-1 from other model estimates. A broad agreement is found in the basin-wide NCP climatology among various models but with significant spatial variations, particularly in the Patagonian Shelf. Our approach provides a comprehensive view of the Southern Ocean NCP climatology and a potential opportunity to further investigate interannual and intraseasonal variability. [ABSTRACT FROM AUTHOR]

Published
2014
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49. Neural network-based estimates of Southern Ocean net community production from in-situ O2/Ar and satellite observation: a methodological study.

Author

C.-H. Chang, Johnson, N. C., and Cassar, N.

Subjects
MARINE ecology, ARGON, OXYGEN, NATURAL satellites, CLIMATOLOGY
Abstract

Southern Ocean organic carbon export plays an important role in the global carbon cycle, yet its basin-scale climatology and variability are uncertain due to limited coverage of in situ observations. In this study, a neural network approach based on the self-organizing map (SOM) is adopted to construct weekly gridded (1° x 1°) maps of organic carbon export for the Southern Ocean from 1998 to 2009. The SOM is trained with in situ measurements of O2/Ar-derived net community production (NCP) that are tightly linked to the carbon export in the mixed layer on timescales of 1-2 weeks, and six potential NCP predictors: photosynthetically available radiation (PAR), particulate organic carbon (POC), chlorophyll (Chl), sea surface temperature (SST), sea surface height (SSH), and mixed layer depth (MLD). This non-parametric approach is based entirely on the observed statistical relationships between NCP and the predictors, and therefore is strongly constrained by observations. A thorough cross-validation yields three retained NCP predictors, Chl, PAR, and MLD. Our constructed NCP is further validated by good agreement with previously published independent in situ derived NCP of weekly or longer temporal resolution through real-time and climatological comparisons at various sampling sites. The resulting November--March NCP climatology reveals a pronounced zonal band of high NCP roughly following the subtropical front in the Atlantic, Indian and western Pacific sectors, and turns southeastward shortly after the dateline. Other regions of elevated NCP include the upwelling zones off Chile and Namibia, Patagonian Shelf, Antarctic coast, and areas surrounding the Islands of Kerguelen, South Georgia, and Crozet. This basin-scale NCP climatology closely resembles that of the satellite POC field and observed air-sea CO2 flux. The long-term mean area-integrated NCP south of 50° S from our dataset, 14 mmolCm-\2 d-1, falls within the range of 8.3-24 mmolCm-2 d-1 from other model estimates. A broad agreement is found in the basin-wide NCP climatology among various models but with significant spatial variations, particularly in the Patagonian Shelf. Our approach provides a comprehensive view of the Southern Ocean NCP climatology and a potential opportunity to further investigate interannual and intraseasonal variability. [ABSTRACT FROM AUTHOR]

Published
2013
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50. Screening for thyroid disease in pregnancy: a review.

Author

CASSAR, N. J., GRIMA, A. P., ELLUL, G. J., SCHEMBRI-WISMAYER, P., and CALLEJA-AGIUS, J.

Subjects
THYROID disease diagnosis, PREGNANCY complications, HORMONES, AUTOANTIBODIES, IODINE, SELENIUM, HYPOTHYROIDISM
Abstract

The article discusses the arguments on screening for thyroid dysfunctions that occur in pregnancy and analyzes the benefits and setbacks of newly proposed examinations of serum hormone levels, serum autoantibody levels, and use of clinical data. According to the article, the relevance of screening differs based on the content of iodine and selenium in food and water worldwide. Pertinent topics discussed include subclinical hypothyroidism, overt hypothyroidism, and thyroid autoantibodies.

Published
2013

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