190 likes | 338 Views
BIOTECHNOLOGIES ET BIORESSOURCES. 2013-2020. W O rld o CEA N bi O ressources , biotechnologies, and Earth- syste M serv IC e S. « Biotechnologie et Bioressources pour la Valorisation des Ecosystèmes Marins Planctoniques » . Réunion WP2, Villefranche sur Mer, 11/02/2014
E N D
BIOTECHNOLOGIES ET BIORESSOURCES • 2013-2020 • WOrldoCEANbiOressources,biotechnologies, and Earth-systeMservICeS « Biotechnologie et Bioressources pour la Valorisation des Ecosystèmes Marins Planctoniques » Réunion WP2, Villefranche sur Mer, 11/02/2014 Objectif : Rédaction du rapport ANR 2013 Mots-clés: Océans, Plancton, Biotechnologies bleues, Phénotypagehaut débit, Séquencage haut-débit, Biomolécules marines, Biomonitoring, Eco-systémique, Micro-algues.
Work package n°2: Production and primaryanalysis of environmental data Objectives: WP2 will process, analyze, and archive in format compatible to the OCEANOMICS data warehouse (WP1) the physico-chemical and bio-optical data from in situ sensors deployed on-board TARA at each station and along the cruise track, and from samples collected for a posteriori lab- based analyses (see Table A2 in Annex I). These data represent >50 different parameters that will also be compared to remote sensing satellite data. All together, these so-called ‘environmental data’ will be used for a detailed characterization of the water-masses from which high-throughput biological data (WP3-4) are extracted. WP2 contains 5 tasks. WP2: annual report, Feb. 11 2014
Work package n°2: Production and primaryanalysis of environmental data Task 2.1 In situ physical data. Task 2.2 Remotesensingphysical data. Task 2.3. Bio-optical data. Task 2.4 Bio-chemical data Task 2.5 Environmental data archiving. WP2: annual report, Feb. 11 2014
Work package n°2: Production and primaryanalysis of environmental data People involved: P4 – LOV UMR7093 : Gabriel Gorsky, Marc Picheral, Lars Stemmann, Lionel Guidi, AnnickBricaud, FabrizioDortenzio, David Antoine, EdouardLeymarie, Vincent Taillandier, JoséphineRas P1 – SBR UMR7144: Pascal Morin P10 – LPO UMR 6523: Sabrina Speich (Univ. Brest), Nicolas Grima (CNRS), Bruno Blanke (CNRS), AnnaigPrigent (Ifremer), Thierry Reynaud (Ifremer), Cécile Cabanes (CNRS) CP1 - PANGAEA : StéphanePesant Collaborations: Daniele Iudicone (SZN) Emmanuel Boss, Alison Chase (U. Maine) ZbigniewKolber (U. California) Personal OCEANOMICS WP2 (Postdoc 2 years, Engineer 5 years, technician 2 years) LOV (P4): Lionel Guidi(postdoc 1 year Nov 2012-October 2013), Tatiana Donnay (CDD IE, 1 year since Nov. 2012) , Corinne Desnos (CDD 1 year since Nov. 2012), Jean Baptiste Romagnan (CDD IR, 2 years) Pangea: XXXXXX (CDD 2 years) Restedonc 1 year Postdoc and 1 year Technician (Zooscan) Other non permanent people at LPO: 2 years postdoc (OCEANOMICS) at LOV: François Roullier (PhD, CDD 3 months) , LéoBerline (Postdoc) WP2: annual report, Feb. 11 2014
Work package n°2: Production and primaryanalysis of environmental data Task 2.1: In situ physical and biogeochemical data Subtask list: • Text Document describing the Deliverable, the data QC, the link to PANGEA • tables and pdf document with all stations showing CTD rosette profiles • tables and pdf document with all profiles showing parameters at sampled depth by rosette • tables and pdf document with TSG plots for all stations and between stations • Files: • Matlab files • ODV files • …. Something specific for Pangea ?? WP2: annual report, Feb. 11 2014
Work package n°2: Production and primaryanalysis of environmental data Task 2.2: Remote sensing physical data Subtask list: WP2: annual report, Feb. 11 2014
Work package n°2: Production and primaryanalysis of environmental data Task 2.2: Remote sensing physical data D2.2.1 (Delivery time March 2015) Post-processing (calibration/validation) and analysis of SST, SSS, Sea Surface Height (SSH), chlorophyll (oceancolour) and wind data from satellites. Workachieved : We have post-processed SST, SSH, and Chlorophyll-a satellite data. We are gathering SSS data fromAquarius (L2 level) and SMOS (L3 level) satellites. Wewillproduce the processed data for each station in the comingyear. For the Meteorological data : we are evaluatingdifferent satellite data products as well as MeteorologicalReanalyses (ERA-INTERIM, NCEP). D2.2.2 (Delivery time March 2016) Intercalibration of in situ and remotesensed SST, SSS and chlorophyll. We have started to compare remote-sensed data with CTD data for each station. Laternextyearwewill compare the TSG underway data collection from Tara to the remote-sensed variables by collocating in space and time the data. D2.2.3 (Delivery time March 2017) Intercalibration of Mercator Model Forecasts. Wewillstartthistasktogetherwith D2.2.4 in the comingmonths. In particular, wewill test Mercator Forecasts as well as Mercator Reanalyses. Wewill compare the collected CTD and STG data sets withsimulated water masses dynamics and properties. In relation with D2.2.4 and by usingresultsobtained in D.2.2.1 and D2.2.2, as well as the subsurfaceoceanpropertiesderivedfrom the Argoprofilingfloatsarray, wewillestablish if Mercator was able to reproduce the observedfine-scale structure (eddies, jets, western-boundarycurrents, upwellings, …). D2.2.4 (Delivery time March 2018) Characterization of the large and fine scalephysicalcontexts for everyin situ station. We have started to conceiveappropriate data analyses and indicators to apply to the entire data collection (remote-sensed data, Tara CTDs and STGs, Tara bottle data, the CLS SURCOUF product, Meteorological variables fromReanalyses, Mercator simulations if the validation/calibration processwillbesuccessful) to characterize the dynamical and mass-watercontext of each station. WP2: annual report, Feb. 11 2014
Work package n°2: Production and primaryanalysis of environmental data Task 2.3: Bio-optical data WP2: annual report, Feb. 11 2014
Work package n°2: Production and primaryanalysis of environmental data Task 2.4: Bio-chemical data WP2: annual report, Feb. 11 2014
Work package n°2: Production and primaryanalysis of environmental data Task 2.5: Environmental data archiving and publishing WP2: annual report, Feb. 11 2014
Work package n°2: Production and primaryanalysis of environmental data Task 2.5: Environmental data archiving and publishing • Data publications at PANGAEA are fullycitablewith persistent and resolvableDOIs • Data DOIsat PANGAEA are linked to PaperDOIsfrom Journal Publishers WP2: annual report, Feb. 11 2014
Work package n°2: Production and primaryanalysis of environmental data Task 2.5: Environmental data archiving and publishing • Some journal publishersnow have dynamic links fromtheir online papers to relateddatasetsarchivedat PANGAEA • Thomson Reuters nowstarts to build Impact Factorsbased on DatasetDOIs WP2: annual report, Feb. 11 2014
Work package n°2: Production and primaryanalysis of environmental data Task 2.5: Environmental data archiving and publishing • Metadatacanbe extensive; WORK isneeded to hamonisevocabularies (T1.2) • Access to data isavailableonline; WORK isneeded to setup a data access services (T1.2) WP2: annual report, Feb. 11 2014
progress in Environmental data/genomic integration Particulate flux (>200μm mg C m-2 j-1) Article pour lot à soumettre à Nature (printemps 2014) Article on Oceanography and biogeochemestry as a reference for otherpaper: Classification by water mass, classification by trophicstatus WP2: annual report, Feb. 11 2014
progress in UVPvalorisation: biological pump Particulate flux (>200μm mg C m-2 j-1) Impact of OMZ on carbone export to the deepsea Particles size distribution and carbon flux across the ArabianSeaOxygen Minimum Zone F. Roullier, L. Berline, L. Guidi, A. Sciandra, X. Durrieu De Madron, M. Picheral, S. Pesant, and L. Stemmann, BiogeosciencesDiscuss., 10, 19271-19309, 2013 More work in collaboration with GEOMAR WP2: annual report, Feb. 11 2014
progress in UVPvalorisation, biologicalpump 897 estimates of b distributed over 34 provinces To combined with Sed. trap and Th. fluxes To Calculate regional map of b to Calculate Global Sequestration: WP2: annual report, Feb. 11 2014
progress in UVPvalorisation: Particle and zooplankton Zooplankton and particles abundances (0-200 m, ind m-3) WP2: annual report, Feb. 11 2014
In progressat LOV: analysis of changes in the size structure of algal populations An indicator of dominant algal size (Sf), between0 (100% microphytoplankton) and 1 (100% picophytoplankton), isderivedfromthe shape of each (normalized) phytoplankton absorption spectrum(Ciotti et al. 2002) - As expected, at the global scalethe size parameterSf varies inverselyto [Chla](picoplanktondominates in clear waters, microplankton in chl-rich waters). - However, at the regionalscale, decouplings and time shifts are observedbetweenSf and [Chla] -> to bestudied Variations of size parameter (red line) and total chl a concentration (blue line, log scale) at stations along the TARA transect • The size parametervalues derivedfromac-s data are currentlycomparedto taxonomic pigment concentrations (at stations) for validation • - The objective of thisopticalapproachis to giveaccessto changes in algal size structure athigh spatial resolution WP2: annual report, Feb. 11 2014
In progressatUniversity of Main : spectral decomposition of particulate light absorption An indicator of dominant algal category Example of decomposition results for a measured particulate absorption spectrum from the Equatorial Pacific, near the Marquesas keys during the Tara Oceans expedition. Example of correlation between particulate light absorption at different wavelength and pigment WP2: annual report, Feb. 11 2014