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  • 1
    Publication Date: 2024-02-17
    Description: Data were obtained as part of the Bermuda Atlantic Time-series Study (BATS) in order to characterise the environmental context of the ecosystem. They were collected on board of the R/V Atlantic Explorer, at BATS site (31°40′N; 64°10′W) on a monthly basis, from March 2016 to May 2017, except in March 2017 due to rough weather. Environmental samples were taken during the day, except in February 2017 when they were taken at night. Environmental data were collected vertically using a SeaBird 911 CTD rosette equipped with temperature (°C), conductivity (mS/cm), fluorescence (RFU), oxygen (µmol/kg) and Photosynthetic Active Radiation (PAR, µE/m²s) sensors. Density (σθ) was calculated from temperature and conductivity. Depth of the Deep Chlorophyll Maximum (DCM, m) was defined as the maximum of the fluorescence profile. Three types of Mixed Layer Depth (MLD, m) were calculated. A seasonal and a depth zone characterisation were obtained from MLD, DCM and density measures. The depth (m) at which the light intensity was equal to 1% of the surface light intensity was also computed.
    Keywords: Attenuation, optical beam transmission; BATS; BATS_321; BATS_322; BATS_323; BATS_324; BATS_325; BATS_326; BATS_327; BATS_328; BATS_329; BATS_330; BATS_331; BATS_332; BATS_333; BATS_334; BATS_335; Bermuda Atlantic Time-Series Study; Campaign; carbon export; Conductivity; cruise; CTD, Seabird 19plus; CTD profiles; DATE/TIME; Density, sigma-theta (0); Depth, at 1% light intensity; DEPTH, water; Depth of chlorophyll maximum; Depth zone; diversity; Event label; Fluorescence; LATITUDE; LONGITUDE; Mixed layer depth; MULT; Multiple; Multiple investigations; North Atlantic Ocean; Oxygen; Pressure, water; Radiation, photosynthetically active; Salinity; Season; Temperature, water; Vessel; Year of sampling; Zooplankton; ZooScan
    Type: Dataset
    Format: text/tab-separated-values, 163104 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-02-17
    Description: Data were obtained as part of the Bermuda Atlantic Time-series Study (BATS) in order to characterise the downward vertical fluxes of sinking material. The data were collected on board of the R/V Atlantic Explorer, at BATS site (31°40′N; 64°10′W) on a monthly basis, from March 2016 to May 2017, except in March 2017 due to rough weather. Each time, sediment traps (free-drifting cylindrical trap, MultiPITs) were deployed at different depths : 150 m, 200 m and 300 m. They collected sinking particles during 72 hours. The location of the traps were checked periodically during the deployement as precised in BATS protocol. Prior to analyses, " swimmers " (i.e. recognizable zooplankton) were removed by hand under a microscope, to not overestimate fluxes. Sinking biomass was obtained by drying the material at 65°C. Particulate carbon and nitrogen were also measured throughout a CHN analysis. Data were then averaged from three replicates and blank corrected, following the BATS protocol (Steinberg et al., 2001). Finally, data are expressed as a flux in mg/m²/day, mgC/m²/day and mgN/m²/day, respectively for biomass, carbon and nitrogen flux.
    Keywords: BATS; BATS_321; BATS_322; BATS_323; BATS_324; BATS_325; BATS_326; BATS_327; BATS_328; BATS_329; BATS_330; BATS_331; BATS_332; BATS_333; BATS_334; BATS_335; Bermuda Atlantic Time-Series Study; Campaign; Carbon, organic, particulate, flux; carbon export; cruise; CTD profiles; DATE/TIME; diversity; Event label; LATITUDE; LONGITUDE; MULT; Multiple; Multiple investigations; Nitrogen, organic, particulate, flux per day; North Atlantic Ocean; Sediment trap; Total mass, flux per day; Vessel; Zooplankton; ZooScan
    Type: Dataset
    Format: text/tab-separated-values, 156 data points
    Location Call Number Limitation Availability
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  • 3
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    In:  EPIC3Ocean Sciences Meeting (AGU, ASLO, TOS), New Orleans, USA, New Orleans, 2016-02-21-2016-02-26
    Publication Date: 2016-08-01
    Description: The diversity of natural communities is classically estimated through species identification (taxonomic diversity) but can also be estimated from the ecological functions performed by the species (functional diversity), or from the phylogenetic relationships among them (phylogenetic diversity). Estimating functional diversity requires the definition of specific functional traits, i.e., phenotypic characteristics that impact fitness and are relevant to ecosystem functioning. Estimating phylogenetic diversity requires the description of phylogenetic relationships, for instance by using molecular tools. In the present study, we focused on the functional and phylogenetic diversity of copepod surface communities in the Mediterranean Sea. First, we implemented a specific trait database for the most commonly-sampled and abundant copepod species of the Mediterranean Sea. Our database includes 191 species, described by seven traits encompassing diverse ecological functions: minimal and maximal body length, trophic group, feeding type, spawning strategy, diel vertical migration and vertical habitat. Clustering analysis in the functional trait space revealed that Mediterranean copepods can be gathered into groups that have different ecological roles. Second, we reconstructed a phylogenetic tree using the available sequences of 18S rRNA. Our tree included 154 of the analyzed Mediterranean copepod species. We used these two datasets to describe the functional and phylogenetic diversity of copepod surface communities in the Mediterranean Sea. The replacement component (turn-over) and the species richness difference component (nestedness) of the beta diversity indices were identified. Finally, by comparing various and complementary aspects of plankton diversity (taxonomic, functional, and phylogenetic diversity) we were able to gain a better understanding of the relationships among the zooplankton community, biodiversity, ecosystem function, and environmental forcing.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 4
    Publication Date: 2017-04-24
    Description: With global climate change altering marine ecosystems, research on plankton ecology is likely to navigate uncharted seas. Yet, a staggering wealth of new plankton observations, integrated with recent advances in marine ecosystem modeling, may shed light on marine ecosystem structure and functioning. A EuroMarine foresight workshop on the “Impact of climate change on the distribution of plankton functional and phylogenetic diversity” (PlankDiv) identified five grand challenges for future plankton diversity and macroecology research: (1) What can we learn about plankton communities from the new wealth of high-throughput “omics” data? (2) What is the link between plankton diversity and ecosystem function? (3) How can species distribution models be adapted to represent plankton biogeography? (4) How will plankton biogeography be altered due to anthropogenic climate change? and (5) Can a new unifying theory of macroecology be developed based on plankton ecology studies? In this review, we discuss potential future avenues to address these questions, and challenges that need to be tackled along the way.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 5
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    ROYAL SOC
    In:  EPIC3Philosophical Transactions of the Royal Society B-Biological Sciences, ROYAL SOC, 375(1814), ISSN: 0962-8436
    Publication Date: 2021-06-19
    Description: An accurate identification of species and communities is a prerequisite for analysing and recording biodiversity and community shifts. In the context of marine biodiversity conservation and management, this review outlines past, present and forward-looking perspectives on identifying and recording planktonic diversity by illustrating the transition from traditional species identification based on morphological diagnostic characters to full molecular genetic identification of marine assemblages. In this process, the article presents the methodological advancements by discussing progress and critical aspects of the crossover from traditional to novel and future molecular genetic identifications and it outlines the advantages of integrative approaches using the strengths of both morphological and molecular techniques to identify species and assemblages. We demonstrate this process of identifying and recording marine biodiversity on pelagic copepods as model taxon. Copepods are known for their high taxonomic and ecological diversity and comprise a huge variety of behaviours, forms and life histories, making them a highly interesting and well-studied group in terms of biodiversity and ecosystem functioning. Furthermore, their short life cycles and rapid responses to changing environments make them good indicators and core research components for ecosystem health and status in the light of environmental change. This article is part of the theme issue ‘Integrative research perspectives on marine conservation’.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 6
    Publication Date: 2021-06-19
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 7
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    In:  EPIC3International Ocean Research Conference (IORC), 2014-11-17-2014-11-21
    Publication Date: 2014-11-24
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 8
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 9
    Publication Date: 2014-07-02
    Description: More than 2,500 species of copepods (Class Maxillopoda; Subclass Copepoda) occur in the marine planktonic environment. The exceptional morphological conservation of the group, with numerous sibling species groups, makes the identification of species challenging, even for expert taxonomists. Molecular approaches to species identification have allowed rapid detection, discrimination, and identification of species based on DNA sequencing of single specimens and environmental samples. Despite the recent development of diverse genetic and genomic markers, the barcode region of the mitochondrial cytochrome c oxidase subunit I (COI) gene remains a useful and – in some cases – unequaled diagnostic character for species-level identification of copepods. This study reports 800 new barcode sequences for 63 copepod species not included in any previous study and examines the reliability and resolution of diverse statistical approaches to species identification based upon a dataset of 1,381 barcode sequences for 195 copepod species. We explore the impact of missing data (i.e., species not represented in the barcode database) on the accuracy and reliability of species identifications. Among the tested approaches, the best close match analysis resulted in accurate identification of all individuals to species, with no errors (false positives), and out-performed automated tree-based or BLAST based analyses. This comparative analysis yields new understanding of the strengths and weaknesses of DNA barcoding and confirms the value of DNA barcodes for species identification of copepods, including both individual specimens and bulk samples. Continued integrative morphological-molecular taxonomic analysis is needed to produce a taxonomically-comprehensive database of barcode sequences for all species of marine copepods.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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  • 10
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    In:  EPIC3Molecular Phylogenetics and Evolution, ISSN: 10557903
    Publication Date: 2019-07-17
    Description: The Paracalanidae are ecologically-important marine planktonic copepods that occur in the epipelagic zone in temperate and tropical waters. They are often the dominant taxon – in terms of biomass and abundance – in continental shelf regions. As primary consumers, they form a vital link in the pelagic food web between primary producers and higher trophic levels. Despite the ecological importance of the taxon, evolutionary and systematic relationships within the family remain largely unknown. A multigene phylogeny including 24 species, including representatives for all seven genera, was determined based on two nuclear genes, small-subunit (18S) ribosomal RNA and Histone 3 (H3) and one mitochondrial gene, cytochrome c oxidase subunit I (COI). The molecular phylogeny was well supported by Maximum likelihood and Bayesian inference analysis; all genera were found to be monophyletic, except for Paracalanus, which was separated into two distinct clades: the Paracalanus aculeatus group and Paracalanus parvus group. The molecular phylogeny also confirmed previous findings that Mecynocera and Calocalanus are genera of the family Paracalanidae. For comparison, a morphological phylogeny was created for 35 paracalanid species based on 54 morphological characters derived from published descriptions. The morphological phylogeny did not resolve all genera as monophyletic and bootstrap support was not strong. Molecular and morphological phylogenies were not congruent in the positioning of Bestiolina and the Paracalanus species groups, possibly due to the lack of sufficient phylogenetically-informative morphological characters.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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