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16 results for “gelatinous zooplankton”
Fig.1 in Distribution And Diversity Of Gelatinous Zooplankton In The South Eastern Arabian Sea, Kanyakumari To Off Kollam
Fig.1. Location of the sampling stations during the cruise is indicated in black circles and numbers of stations are indicated in red color.
Gelatinous zooplankton abundances in the Rhode River Estuary, MD, USA, 2004-2005 and 2013-2018
<p>Field sampling of ctenophore (<em>Mnemiopsis </em>and <em>Beroe</em>) and scyphomedusae (<em>Chrysaora</em>) abundances in the Rhode River and adjacent Chesapeake Bay (MD, USA). Samples were taken using 0.5 m and 1.0 m diameter nets in 2004-2005 and 2013-2018.</p>
Dataset for Gelatinous zooplankton-mediated carbon flows in the global oceans: A data-driven modeling study
<p>Gridded dataset of gelatinous zooplankton (GZ) biomass (mg C m<sup>-3</sup>) and numeric density (individuals m<sup>-3</sup>), time-averaged, in a 1-degree grid. Data are separated by phyla: Cnidaria, Ctenophora, and Chordata (pelagic tunicates). Original data compiled as part of the Jellyfish Database Initiative Project (JeDI; Condon et al. 2015, doi:10.1575/1912/7191) and converted to carbon biomass units for Lucas et al. 2014.</p> <p>Cnidarian additions to this dataset include records from the northern California Current (Brodeur et al., 2014) and Gulf of Mexico (Robinson et al., 2015). Chordata additions include salps from the Bermuda Atlantic Time Series (BATS; Stone & Steinberg, 2014), Western Antarctic Peninsula (WAP; Steinberg et al., 2015), and Southern Ocean, from KRILLBASE (Atkinson et al., 2017). Note that we excluded the KRILLBASE records from the WAP region that to prevent double-counting. See Methods in Luo et al. (2020) for details on biometric conversions to carbon biomass.</p> <p>Data were averaged by time (season, then year), and then within each 1-degree grid cell.</p> <p> </p> <p> </p> <p>Code for the model using this dataset is available at: <a href="https://github.com/jessluo/gz_biogeochem_pub">https://github.com/jessluo/gz_biogeochem_pub</a></p> <p> </p> <p><strong>Luo, Jessica Y.</strong>, Condon, R. H., Stock, C. A., Duarte, C. M., Lucas, C. H., Pitt, K. A., & Cowen, R. K. (2020). Gelatinous zooplankton‐mediated carbon flows in the global oceans: A data‐driven modeling study. <em>Global Biogeochemical Cycles</em>, 34, e2020GB006704. <a href="https://doi.org/10.1029/2020GB006704">https://doi.org/10.1029/2020GB006704</a></p>
Fig. 11 in Distribution And Diversity Of Gelatinous Zooplankton In The South Eastern Arabian Sea, Kanyakumari To Off Kollam
Fig. 11. Eudoxoides mitra.
Fig. 9 in Distribution And Diversity Of Gelatinous Zooplankton In The South Eastern Arabian Sea, Kanyakumari To Off Kollam
Fig. 9. Salpa fusiformis.
Fig. 10 in Distribution And Diversity Of Gelatinous Zooplankton In The South Eastern Arabian Sea, Kanyakumari To Off Kollam
Fig. 10. Thalia democratica.
Fig. 4 in Distribution And Diversity Of Gelatinous Zooplankton In The South Eastern Arabian Sea, Kanyakumari To Off Kollam
Fig. 4. Diphyes dispar.
Fig. 6 in Distribution And Diversity Of Gelatinous Zooplankton In The South Eastern Arabian Sea, Kanyakumari To Off Kollam
Fig. 6. Liriope tetraphylla.
Fig. 8 in Distribution And Diversity Of Gelatinous Zooplankton In The South Eastern Arabian Sea, Kanyakumari To Off Kollam
Fig. 8. Pleurobrachia pileus.
Fig. 7 in Distribution And Diversity Of Gelatinous Zooplankton In The South Eastern Arabian Sea, Kanyakumari To Off Kollam
Fig. 7. Oikopleura dioica
Fig. 12 in Distribution And Diversity Of Gelatinous Zooplankton In The South Eastern Arabian Sea, Kanyakumari To Off Kollam
Fig. 12. Doliolum gegenbauri.
Fig. 5 in Distribution And Diversity Of Gelatinous Zooplankton In The South Eastern Arabian Sea, Kanyakumari To Off Kollam
Fig. 5. Lensia subtiloides.
FIGURE 2 in Gelatinous zooplankton fauna (Cnidaria, Ctenophora and Thaliacea) from Baía da Babitonga (southern Brazil)
FIGURE 2. Number of gelatinous zooplankton species found on each sampling date (columns) at Baía da Babitonga, S Brazil, and cumulative number of recorded species (closed circles) between July 2007 and June 2009. All types of nets were pooled together. Dotted grey line indicates the average number of species from all campaigns (22).
FIGURE 1 in Gelatinous zooplankton fauna (Cnidaria, Ctenophora and Thaliacea) from Baía da Babitonga (southern Brazil)
FIGURE 1. Map of Baía da Babitonga, S Brazil, showing stations sampled on 17 July 2007 and 19 June 2009 (circles) and throughout October 2007 and August 2008 (crosses).
DNA-metabarcoding reveals the importance of gelatinous zooplankton in the diet of Pandalus borealis, a keystone species in the Arctic
<p>Information about the dietary composition of species is crucial to understand their position and role in the food web. Stomach content analysis (SCA) and stable isotope analysis (SIA) are commonly used to study marine trophic relationships. SCA can provide high taxonomic resolution but requires taxonomic expertise and frequently underestimates digestible taxa. SIA provides a time-integrated view of the dietary sources but often lacks in taxonomic resolution. The use of molecular approaches such as DNA-metabarcoding may alleviate these problems. Here, we used DNA-metabarcoding with universal primers for cytochrome c oxidase I (COI), to study the diet composition of the Northern shrimp (<i>Pandalus borealis</i>) from the Barents Sea, a keystone species in the Arctic region with large socio-economic importance. Across locations, jellyfish and chaetognaths were the most important components in the diet of <i>P. borealis</i>, jointly accounting for 40-60% of the total read abundance. This dietary importance of gelatinous zooplankton contrasts sharply with published results based on SCA. At the same time, diet composition differed between fjord and shelf locations, pointing to different food webs supporting <i>P. borealis</i> in these two systems. Our study underscores the potential of molecular approaches to provide important new insights into the diet of marine invertebrates that are difficult or impossible to obtain with traditional methods, and calls for a revision of the role of gelatinous zooplankton in the diet of the key Arctic species <i>P. borealis</i>, and in extension, Arctic food webs.</p>
DNA-metabarcoding reveals the importance of gelatinous zooplankton in the diet of Pandalus borealis, a keystone species in the Arctic
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