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  • 1
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    Unknown
    PANGAEA
    In:  Supplement to: Holstein, Jan M; Hensen, Christian (2010): Microbial mediation of benthic biogenic silica dissolution. Geo-Marine Letters, 30(5), 477-492, https://doi.org/10.1007/s00367-009-0181-3
    Publication Date: 2023-05-12
    Description: Pore water profiles from 24 stations in the South Atlantic (located in the Guinea, Angola, Cape, Guyana, and Argentine basins) show good correlations of oxygen and silicon, suggesting microbially mediated dissolution of biogenic silica. We used simple analytical transport and reaction models to show the tight coupling of the reconstructed process kinetics of aerobic respiration and silicon regeneration. A generic transport and reaction model successfully reproduced the majority of Si pore water profiles from aerobic respiration rates, confirming that the dissolution of biogenic silica (BSi) occurs proportionally to O2 consumption. Possibly limited to well-oxygenated sediments poor in BSi, benthic Si fluxes can be inferred from O2 uptake with satisfactory accuracy. Compared to aerobic respiration kinetics, the solubility of BSi emerged as a less influential parameter for silicon regeneration. Understanding the role of bacteria for silicon regeneration requires further investigations, some of which are outlined. The proposed aerobic respiration control of benthic silicon cycling is suitable for benthic–pelagic models. The empirical relation of BSi dissolution to aerobic respiration can be used for regionalization assessments and estimates of the silicon budget to increase the understanding of global primary and export production patterns.
    Keywords: AWI_PaleoClimate; Paleo-climate Dynamics @ AWI; SFB261; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-02-02
    Keywords: AWI_PaleoClimate; Campaign of event; Date/Time of event; Eastern Niger fan; Elevation of event; Event label; Exponential fit; GeoB3706-3; GeoB3707-6; GeoB4901-4; GeoB4906-4; GeoB4909-3; GeoB4913-3; GeoB4917-4; GeoB6202-3; GeoB6214-4; Latitude of event; Longitude of event; M34/2; M41/1; M46/2; Meteor (1986); Model fit; MUC; MultiCorer; Northern Cape Basin; northern Congo fan; off Angola; off Gabun; Oxygen, benthic, flux; Paleo-climate Dynamics @ AWI; SFB261; Silicon, benthic, flux; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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  • 3
    Publication Date: 2024-02-02
    Keywords: AWI_PaleoClimate; Campaign of event; Date/Time of event; DEPTH, sediment/rock; Eastern Niger fan; Elevation of event; Event label; GeoB3706-3; GeoB3707-6; GeoB4901-4; GeoB4906-4; GeoB4909-3; GeoB4913-3; GeoB4917-4; GeoB6202-3; GeoB6214-4; Latitude of event; Longitude of event; M34/2; M41/1; M46/2; Meteor (1986); MUC; MultiCorer; Northern Cape Basin; northern Congo fan; off Angola; off Gabun; Opal, auto analysis (Müller & Schneider, 1993); Opal, biogenic silica; Paleo-climate Dynamics @ AWI; SFB261; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents
    Type: Dataset
    Format: text/tab-separated-values, 69 data points
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  • 4
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    Unknown
    Springer
    In:  Geo-Marine Letters, 30 . pp. 477-492.
    Publication Date: 2017-05-19
    Description: Pore water profiles from 24 stations in the South Atlantic (located in the Guinea, Angola, Cape, Guyana, and Argentine basins) show good correlations of oxygen and silicon, suggesting microbially mediated dissolution of biogenic silica. We used simple analytical transport and reaction models to show the tight coupling of the reconstructed process kinetics of aerobic respiration and silicon regeneration. A generic transport and reaction model successfully reproduced the majority of Si pore water profiles from aerobic respiration rates, confirming that the dissolution of biogenic silica (BSi) occurs proportionally to O2 consumption. Possibly limited to well-oxygenated sediments poor in BSi, benthic Si fluxes can be inferred from O2 uptake with satisfactory accuracy. Compared to aerobic respiration kinetics, the solubility of BSi emerged as a less influential parameter for silicon regeneration. Understanding the role of bacteria for silicon regeneration requires further investigations, some of which are outlined. The proposed aerobic respiration control of benthic silicon cycling is suitable for benthic–pelagic models. The empirical relation of BSi dissolution to aerobic respiration can be used for regionalization assessments and estimates of the silicon budget to in crease the understanding of global primary and export production patterns.
    Type: Article , PeerReviewed
    Format: text
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  • 5
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    Unknown
    In:  EPIC38th International Crustacean Congress, Frankfurt / Main, Germany, 2014-08-18-2014-08-23
    Publication Date: 2014-08-27
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Format: application/pdf
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  • 6
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    Niedersächsischer Landesbetrieb für Wasserwirtschaft, Küsten- und Naturschutz
    In:  EPIC3Final report, Niedersächsischer Landesbetrieb für Wasserwirtschaft, Küsten- und Naturschutz, 145 p.
    Publication Date: 2017-09-01
    Repository Name: EPIC Alfred Wegener Institut
    Type: Miscellaneous , notRev
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  • 7
    Publication Date: 2017-03-10
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 8
    Publication Date: 2017-12-11
    Description: The concept of the marine ecological community has recently experienced renewed attention, mainly owing to a shift in conservation policies from targeting single and specific objec- tives (e.g. species) towards more integrated approaches. Despite the value of communities as dis- tinct entities, e.g. for conservation purposes, there is still an ongoing debate on the nature of spe- cies associations. They are seen either as communities, cohesive units of non-randomly associated and interacting members, or as assemblages, groups of species that are randomly associated. We investigated such dualism using fuzzy logic applied to a large dataset in the German Bight (south- eastern North Sea). Fuzzy logic provides the flexibility needed to describe complex patterns of natural systems. Assigning objects to more than one class, it enables the depiction of transitions, avoiding the rigid division into communities or assemblages. Therefore we identified areas with either structured or random species associations and mapped boundaries between communities or assemblages in this more natural way. We then described the impact of the chosen sampling design on the community identification. Four communities, their core areas and probability of occurrence were identified in the German Bight: AMPHIURA-FILIFORMIS, BATHYPOREIA-TELLINA, GONIADELLA-SPISULA, and PHORONIS. They were assessed by estimating overlap and compactness and supported by analysis of beta-diversity. Overall, 62% of the study area was characterized by high species turnover and instability. These areas are very relevant for conservation issues, but become undetectable when studies choose sampling designs with little information or at small spatial scales.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 9
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    Unknown
    In:  EPIC3World Congress of Marine Biodiversity, Montreal, Canada, 2018-05-2018-05
    Publication Date: 2018-05-16
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev , info:eu-repo/semantics/conferenceObject
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  • 10
    Publication Date: 2019-12-20
    Description: Bioturbation is one of the key mediators of biogeochemical processes in benthic habitats that can have a high contribution to seafloor functioning and benthic pelagic coupling in coastal waters. Previous studies on bioturbation were limited to point locations and extrapolations in single regions, but have not accounted for regional differences under changing environmental conditions, though there are indications that species contributions will differ across regions or with biotic and abiotic context. To capture those differences and assess global patterns and commonalities, multi-regional analyses are imperative. Here for the first time, bioturbation potential (BPc), a functional indicator of benthic community bioturbation, was estimated based on macrofauna data from four regions (i.e. German Baltic Sea, German North Sea, Belgian part of the North Sea and the Eastern English Channel). For each region and sediment type we identified key species contributing to BPc. Comparison within and across regions demonstrated regional differences, and both overlap and mismatch between species that are functionally important and those that are dominant in biomass. Knowledge on the functionally important species is crucial when management objectives include the protection of certain ecosystem functions. Available environmental layers were used as predictors to model the spatial distribution of BPc for each area and to explore the underlying drivers of differences. Random forest models were trained using as response variables either i) BPc initially calculated per station; or ii) BPp – the species-specific contribution to BPc – for key species (with subsequent summation of their predicted full-coverage distributions to BPc). Maps of BPc distribution predicted by random forest were compared with those generated using natural neighbour interpolation. Overall, derived BPc values increased towards the German parts of the North and Baltic Seas. The relevance of BPc for ecosystem processes and functions, however, vary with biotic and abiotic settings. Results revealed a strong association of BPc with species diversity and region, but less with sediment grain size. A large range of BPc occurred when species richness was low. This suggests that the provisioning of high bioturbation activity is possible also under low diversity, where it is vulnerable due to reduced resilience. The executed multi-regional analysis allowed identifying regional differences in performance of macrofauna, suggesting the need for regionspecific conservation and management strategies. https://doi.org/10.1016/j.ecolind.2019.105945 Received 26 July 2019; Received in revised form 12 November 2019; Accepted 14 November 2019 ⁎ Corresponding author. E-mail address: mayya.gogina@io-warnemuende.de (M. Gogina). Ecological Indicators 110 (2020) 105945 1470-160X/ Crown Copyright © 2019 Published by Elsevier Ltd. All rights reserved. T
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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