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  • 2015-2019  (11)
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  • 1
    Keywords: Forschungsbericht ; Verwaltung ; Open educational Resources ; Wissensmanagement
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (152 Seiten, 4,78 MB) , Illustrationen, Diagramme
    Language: German
    Note: Förderkennzeichen BMBF 01PO16017A. - Verbund-Nummer 01176259 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Sprache der Zusammenfassung: Deutsch, Englisch
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  • 2
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    PANGAEA
    In:  Supplement to: Kucera, Michal; Silye, Lóránd; Weiner, Agnes K M; Darling, Kate F; Lübben, Birgit; Holzmann, Maria; Pawlowski, Jan; Schönfeld, Joachim; Morard, Raphael (2017): Caught in the act: Anatomy of an ongoing benthic-planktonic transition in a marine protist. Journal of Plankton Research, 39 (3), 436-449, https://doi.org/10.1093/plankt/fbx018
    Publication Date: 2023-03-03
    Description: The transition from benthos to plankton requires multiple adaptations, yet so far it remains unclear how these are acquired in the course of the transition. To investigate this process, we analyzed the genetic diversity and distribution patterns of a group of foraminifera of the genus Bolivina with a tychopelagic mode of life (same species occurring both in benthos and plankton). We assembled a global sequence dataset for this group from single-cell DNA extractions and occurrences in metabarcodes from pelagic environmental samples. The pelagic sequences all cluster within a single monophyletic clade within Bolivina. This clade harbors three distinct genetic lineages, which are associated with incipient morphological differentiation. All lineages occur in plankton and benthos, but only one lineage shows no limit to offshore dispersal and has been shown to grow in the plankton. These observations indicate that the emergence of buoyancy regulation within the clade preceded the evolution of pelagic feeding and that the evolution of both traits was not channeled into a full transition into the plankton. We infer that in foraminifera, colonization of the planktonic niche may occur by sequential cooptation of independently acquired traits, with holoplanktonic species being recruited from tychopelagic ancestors.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 3
    Publication Date: 2023-03-03
    Keywords: 1; 2; Center for Marine Environmental Sciences; Elevation of event; Elliptic fourier description; Event label; GeoB16602-2; Identification; INVERS; Latitude of event; Longitude of event; M69/1; M69/1_324-2; M69/1_USW8; MARUM; Meteor (1986); MSN; Multiple opening/closing net; PLA; Plankton net; Puerto_Rico_2012-1; Puerto_Rico_2012-2; PUMP; SO221; Sonne; Water pump
    Type: Dataset
    Format: text/tab-separated-values, 2511 data points
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  • 4
    Publication Date: 2023-03-03
    Keywords: Center for Marine Environmental Sciences; File format; File name; File size; MARUM; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 5
    Publication Date: 2023-03-03
    Keywords: 1; 2; Center for Marine Environmental Sciences; Cumulative power; Elevation of event; Event label; Fourier power; GeoB16602-2; Identification; INVERS; Latitude of event; Longitude of event; M69/1; M69/1_324-2; M69/1_USW8; MARUM; Meteor (1986); MSN; Multiple opening/closing net; PLA; Plankton net; Puerto_Rico_2012-1; Puerto_Rico_2012-2; PUMP; Ratio; SO221; Sonne; Water pump
    Type: Dataset
    Format: text/tab-separated-values, 1829 data points
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  • 6
    Publication Date: 2023-03-03
    Keywords: 1; 2; Center for Marine Environmental Sciences; Elevation of event; Event label; GeoB16602-2; Identification; INVERS; Latitude of event; Longitude of event; M69/1; M69/1_324-2; M69/1_USW8; MARUM; Meteor (1986); MSN; Multiple opening/closing net; PLA; Plankton net; Puerto_Rico_2012-1; Puerto_Rico_2012-2; PUMP; SO221; Sonne; Streptochilus sp., length; Streptochilus sp., width; Water pump
    Type: Dataset
    Format: text/tab-separated-values, 644 data points
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  • 7
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    Unknown
    PANGAEA
    In:  Supplement to: Morard, Raphael; Lejzerowicz, Franck; Darling, Kate F; Lecroq-Bennet, Beatrice; Pedersen, Mikkel Winther; Orlando, Ludovic; Pawlowski, Jan; Mulitza, Stefan; De Vargas, Colomban; Kucera, Michal (2017): Planktonic foraminifera-derived environmental DNA extracted from abyssal sediments preserves patterns of plankton macroecology. Biogeosciences, 14, 2741-2754, https://doi.org/10.5194/bg-14-2741-2017
    Publication Date: 2024-02-02
    Description: Deep-sea sediments constitute a unique archive of ocean change, fueled by a permanent rain of mineral and organic remains from the surface ocean. Until now, paleo-ecological analyses of this archive have been mostly based on information from taxa leaving fossils. In theory, environmental DNA (eDNA) in the sediment has the potential to provide information on non-fossilized taxa, allowing more comprehensive interpretations of the fossil record. Yet, the process controlling the transport and deposition of eDNA onto the sediment and the extent to which it preserves the features of past oceanic biota remains unknown. Planktonic foraminifera are the ideal taxa to allow an assessment of the eDNA signal modification during deposition because their fossils are well preserved in the sediment and their morphological taxonomy is documented by DNA barcodes. Specifically, we re-analyze foraminiferal-specific metabarcodes from 31 deep-sea sediment samples, which were shown to contain a small fraction of sequences from planktonic foraminifera. We confirm that the largest portion of the metabarcode originates from benthic bottom-dwelling foraminifera, representing the in situ community, but a small portion (〈10 %) of the metabarcodes can be unambiguously assigned to planktonic taxa. These organisms live exclusively in the surface ocean and the recovered barcodes thus represent an allochthonous component deposited with the rain of organic remains from the surface ocean. We take advantage of the planktonic foraminifera portion of the metabarcodes to establish to what extent the structure of the surface ocean biota is preserved in sedimentary eDNA. We show that planktonic foraminifera DNA is preserved in a range of marine sediment types, the composition of the recovered eDNA metabarcode is replicable and that both the similarity structure and the diversity pattern are preserved. Our results suggest that sedimentary eDNA could preserve the ecological structure of the entire pelagic community, including non-fossilized taxa, thus opening new avenues for paleoceanographic and paleoecological studies.
    Keywords: ANT-XXIV/2; Arctic Ocean; ARK-XXII/2; AWI_Paleo; BC; Box corer; Center for Marine Environmental Sciences; Cruise/expedition; Date/Time of event; Davis Strait; Elevation of event; Event label; Galathea_3_Win3; Galathea_3_Win4; Galathea_3_Win6; Galathea 3; HDMS Vaedderen; KT07-14; KT07-14_MC03; KT07-14_MC04; KT07-14_MC07; Latitude of event; Longitude of event; Maria S. Merian; MARUM; MC03; MC04; MC07; MSM09/2; MSM09/2_432-5; MSM09/2_453-7; MSM09/2_472-2; MUC; MultiCorer; Name; Number of e-ribotype; Number of genotype; Number of morphospecies; Number of sequences; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS70/239-6; PS70/265-1; PS70/265-2; PS70/299-2; PS70/309-8; PS70 SPACE DAMOCLES; PS71/033-12; PS71/085-5; PS71/085-7; PS71 ANDEEP-SYSTCO SCACE; Reads; Reference/source; Sediment type; South Atlantic Ocean; Station label; Tansei Maru; Weddell Sea; Win 3; Win 4; Win 6
    Type: Dataset
    Format: text/tab-separated-values, 496 data points
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  • 8
    Publication Date: 2019-06-03
    Description: The deep ocean below 200 m water depth is the least observed, but largest habitat on our planet by volume and area. Over 150 years of exploration has revealed that this dynamic system provides critical climate regulation, houses a wealth of energy, mineral, and biological resources, and represents a vast repository of biological diversity. A long history of deep-ocean exploration and observation led to the initial concept for the Deep-Ocean Observing Strategy (DOOS), under the auspices of the Global Ocean Observing System (GOOS). Here we discuss the scientific need for globally integrated deep-ocean observing, its status, and the key scientific questions and societal mandates driving observing requirements over the next decade. We consider the Essential Ocean Variables (EOVs) needed to address deep-ocean challenges within the physical, biogeochemical, and biological/ecosystem sciences according to the Framework for Ocean Observing (FOO), and map these onto scientific questions. Opportunities for new and expanded synergies among deep-ocean stakeholders are discussed, including academic-industry partnerships with the oil and gas, mining, cable and fishing industries, the ocean exploration and mapping community, and biodiversity conservation initiatives. Future deep-ocean observing will benefit from the greater integration across traditional disciplines and sectors, achieved through demonstration projects and facilitated reuse and repurposing of existing deep-sea data efforts. We highlight examples of existing and emerging deep-sea methods and technologies, noting key challenges associated with data volume, preservation, standardization, and accessibility. Emerging technologies relevant to deep-ocean sustainability and the blue economy include novel genomics approaches, imaging technologies, and ultra-deep hydrographic measurements. Capacity building will be necessary to integrate capabilities into programs and projects at a global scale. Progress can be facilitated by Open Science and Findable, Accessible, Interoperable, Reusable (FAIR) data principles and converge on agreed to data standards, practices, vocabularies, and registries. We envision expansion of the deep-ocean observing community to embrace the participation of academia, industry, NGOs, national governments, international governmental organizations, and the public at large in order to unlock critical knowledge contained in the deep ocean over coming decades, and to realize the mutual benefits of thoughtful deep-ocean observing for all elements of a sustainable ocean.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 9
    Publication Date: 2016-05-20
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 10
    Publication Date: 2022-10-26
    Description: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Levin, L. A., Bett, B. J., Gates, A. R., Heimbach, P., Howe, B. M., Janssen, F., McCurdy, A., Ruhl, H. A., Snelgrove, P., Stocks, K., I., Bailey, D., Baumann-Pickering, S., Beaverson, C., Benfield, M. C., Booth, D. J., Carreiro-Silva, M., Colaco, A., Eble, M. C., Fowler, A. M., Gjerde, K. M., Jones, D. O. B., Katsumata, K., Kelley, D., Le Bris, N., Leonardi, A. P., Lejzerowicz, F., Macreadie, P., I., McLean, D., Meitz, F., Morato, T., Netburn, A., Pawlowski, J., Smith, C. R., Sun, S., Uchida, H., Vardaro, M. F., Venkatesan, R., & Weller, R. A. Global observing needs in the deep ocean. Frontiers in Marine Science, 6, (2019):241, doi: 10.3389/fmars.2019.00241.
    Description: The deep ocean below 200 m water depth is the least observed, but largest habitat on our planet by volume and area. Over 150 years of exploration has revealed that this dynamic system provides critical climate regulation, houses a wealth of energy, mineral, and biological resources, and represents a vast repository of biological diversity. A long history of deep-ocean exploration and observation led to the initial concept for the Deep-Ocean Observing Strategy (DOOS), under the auspices of the Global Ocean Observing System (GOOS). Here we discuss the scientific need for globally integrated deep-ocean observing, its status, and the key scientific questions and societal mandates driving observing requirements over the next decade. We consider the Essential Ocean Variables (EOVs) needed to address deep-ocean challenges within the physical, biogeochemical, and biological/ecosystem sciences according to the Framework for Ocean Observing (FOO), and map these onto scientific questions. Opportunities for new and expanded synergies among deep-ocean stakeholders are discussed, including academic-industry partnerships with the oil and gas, mining, cable and fishing industries, the ocean exploration and mapping community, and biodiversity conservation initiatives. Future deep-ocean observing will benefit from the greater integration across traditional disciplines and sectors, achieved through demonstration projects and facilitated reuse and repurposing of existing deep-sea data efforts. We highlight examples of existing and emerging deep-sea methods and technologies, noting key challenges associated with data volume, preservation, standardization, and accessibility. Emerging technologies relevant to deep-ocean sustainability and the blue economy include novel genomics approaches, imaging technologies, and ultra-deep hydrographic measurements. Capacity building will be necessary to integrate capabilities into programs and projects at a global scale. Progress can be facilitated by Open Science and Findable, Accessible, Interoperable, Reusable (FAIR) data principles and converge on agreed to data standards, practices, vocabularies, and registries. We envision expansion of the deep-ocean observing community to embrace the participation of academia, industry, NGOs, national governments, international governmental organizations, and the public at large in order to unlock critical knowledge contained in the deep ocean over coming decades, and to realize the mutual benefits of thoughtful deep-ocean observing for all elements of a sustainable ocean.
    Description: Preparation of this manuscript was supported by NNX16AJ87A (NASA) Consortium for Ocean Leadership, Sub-Award No. SA16-33. AC was supported by FCT-Investigador contract (IF/00029/2014/CP1230/CT0002). LL was supported by a NASA subaward from the Consortium for Ocean Leadership. AG and HR were supported by Horizon 2020, EU Project “EMSO Link” grant ID 731036. AG, BB, DJ, and HR contributions were supported by the UK Natural Environment Research Council Climate Linked Atlantic Section Science project (NE/R015953/1). JP was funded by the Swiss Network for International Studies, and the Swiss National Science Foundation (grant 31003A_179125). TM was supported by Program Investigador FCT (IF/01194/2013), IFCT Exploratory Project (IF/01194/2013/CP1199/CT0002), H2020 Atlas project (GA 678760), and the H2020 MERCES project (GA 689518). This is PMEL contribution number 4965.
    Keywords: Deep sea ; Ocean observation ; Blue economy ; Essential ocean variables ; Biodiversity ; Ocean sensors
    Repository Name: Woods Hole Open Access Server
    Type: Article
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