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  • 21
    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
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  • 22
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    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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  • 23
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    In:  EPIC3World Conference on Marine Biodiversity, Montreal, Canada, 2018-05-13-2018-05-16
    Publication Date: 2021-06-08
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , notRev
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  • 24
    Publication Date: 2018-07-16
    Description: The ocean quahog Arctica islandica is equally attractive to physiologists and environmental scientists due to its long life span of up to 400 years . For physiology, A. islandica is an exciting age model whereas environmental sciences infer past environmental conditions from morphometric and biogeochemical properties of the calcareous shell. In order to evaluate whether and animals from different localities differ, the present study compared genetics and morphometry of six A. islandica populations, from the Norwegian Coast, Kattegat, Kiel bay, White Sea, German Bight and Off Ne Iceland. For genetics, present research found 30 haplotypes of the mitochondrial cytochrome B (cyt B) gene, of which some are widely distributed, whereas others are quite rare. There is no consistent geographical pattern in haplotype distribution, even when a further previously published 11 haplotypes are taken into account. For morphometry, discriminant analysis indicated significant morphometric differences, e.g. in shell shape, between populations which are independent of geographical distance. Moreover, genetic and morphometric patterns appear to be unrelated. Thus, present study reveals morphological differences between populations of A. islandica appear to be driven by the environment rather than underlying genetic differences between populations.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 25
    Publication Date: 2018-08-10
    Description: Aquatic ecosystems constitute a network of interactions transferring matter and energy between organisms. Environmental conditions determine distribution and performance of organisms, thereby network's structure and capabilities to deliver a particular function. Organic matter and nutrients supply and maintain trophic interactions in organism assemblages, thus any changes in biogeochemical cycles (e.g., carbon, nutrients) driven by environmental disturbances may cause alterations in network structure, energy flow patterns and consequently the delivery of ecosystem services. Despite the growing research on "environmental change," there is still gap in knowledge related to the dynamics of ecosystem services under changing aquatic systems. This session will primarily focus on potential changes in services delivered by aquatic ecosystem beyond gross biogeochemical cycles. The aim of this session is to shed light on a number of open questions: Are there general patterns of such changes or a set of distinct scenarios? Is there any suitable conceptual framework available for such studies or do we need to develop one? Could such studies gain value from the inclusion of the human factor i.e. social dynamics? Will there be any functional changes in storage and fluxes of carbon due to complexity in ecosystem services under a changing environment? We invite both case studies and theoretical analysis on how multiple environmental drivers can induce multiple responses at different organizational levels and how such effects translate into changes of a significant ecosystem service. Keywords: Biogeochemistry, Carbon, Ecosystem Service, Food Web, Functional Ecology
    Repository Name: EPIC Alfred Wegener Institut
    Type: Miscellaneous , notRev
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  • 26
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    ECOLOGICAL SOC AMER
    In:  EPIC3Frontiers in Ecology and Evolution, ECOLOGICAL SOC AMER, 6, pp. 231, ISSN: 1540-9295
    Publication Date: 2019-11-30
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 27
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    In:  EPIC3The General Assembly 2019 of the European Geosciences Union (EGU), 2019-04-07-2019-04-12
    Publication Date: 2019-06-14
    Description: Trait based indices constitute a versatile tool for the prediction of ecosystem functioning over large spatial scales and represent a promising approach to meet societal, political and regulatory demands. Here we investigate for the first time the ability of different trait based indices to predict nutrient fluxes of ammonium, nitrate, nitrite, silicate and phosphate under different environmental conditions. We hypothesize that irrigation traits, as applied in the newly proposed index “Community Irrigation Potential” (IPc), will increase the predictability of macrofaunal impact on nutrient fluxes compared to commonly used sediment reworking traits, as in the index “Community Bioturbation Potential” BPc. We correlate IPc and BPc with experimental nutrient flux data measured under different environmental conditions. Both trait based indices and environmental conditions significantly affected all analysed nutrient fluxes. We therefore conclude that neither the trait based indices nor the environmental conditions suffice for quantitative modelling of sediment biogeochemical turnover. Accordingly, information on of macrofaunal activity is needed to reliably predict biogeochemical turnover. Our results further demonstrate that generally nutrient fluxes of ammonium, nitrate, nitrite, silicate and phosphate are more closely linked to irrigation traits than to sediment reworking traits. In conclusion, linking macrofaunal bioirrigation to important environmental factors such as permeability, changing nutrient gradients in the water column and organic matter concentrations may strongly enhance performance of ecosystem models.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 28
    Publication Date: 2019-08-09
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 29
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    Inter-Research
    In:  EPIC3Marine Ecology Progress Series, Inter-Research, 632, pp. 27-42, ISSN: 0171-8630
    Publication Date: 2020-01-10
    Description: This study shows that macrofaunal irrigation traits constitute a valuable complement to sediment reworking traits in estimating macrofaunal impact on nutrient fluxes across the sediment-water interface. We correlated density, biomass, community bioturbation potential (BPc, an index based on reworking traits, body mass and density) and community irrigation potential (IPc, an index based on irrigation traits, body mass and density) with nitrite, nitrate, ammonium, silicate and phosphate flux data under different environmental conditions. Generalized linear models performed best with a combination of environmental conditions and irrigation trait-based indices. This was not only a direct effect of the irrigation traits, but also of the scaling factor 0.75 employed in IPc to infer metabolic activity from body mass. Accordingly, predictive models of nutrient flux across the sediment-water interface will profit greatly from incorporating macrofaunal irrigation behaviour by means of trait-based indices.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 30
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    Institute for the Oceans and Fisheries, Univ of British Columbia
    In:  EPIC3Marine and Freshwater Miscellanea II, Univ. of British Colombia, Institute for the Oceans and Fisheries, Univ of British Columbia, 28(2), 9 p., pp. 65-73
    Publication Date: 2020-07-22
    Description: The polar seas are generally ice-covered waters with highly seasonal weather conditions, temperature, formation and extent of sea ice. To date, more than 8,000 marine species are estimated to occur in these waters (5,782–Arctic;〉 8,200–Antarctic). A collaboration with the Alfred-Wegener-Institut resulted in a preliminary list of marine species in the polar seas (7,710 species), collated from published documentation and made available via FishBase and SeaLifeBase. This list includes 533 species of bony fishes, 10 sharks, 17 rays, 208 vertebrates (whales, dolphins and sea birds), and at least 6,816 invertebrates and 114 plant species. This report includes the polar sea species list, their marine ecoregions, and an overview of available data on ecology, life history, and population dynamics.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Inbook , peerRev
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