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  • 2010-2014  (47)
  • 2000-2004  (4)
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  • 1
    Keywords: Forschungsbericht ; Fische ; Benthos
    Type of Medium: Online Resource
    Pages: Online-Ressource (71 S., 3,78 MB) , Illustrationen, graphische Darstellungen, Karten
    Language: German
    Note: Förderkennzeichen BMU 0327689A , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Systemvoraussetzungen: Acrobat reader. , Mit deutscher Zusammenfassung
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  • 2
    Keywords: Hochschulschrift ; Nordsee Ost ; Meeresmuscheln
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (130 Seiten = 8 MB) , Illustrationen, Graphen, Karten
    Edition: 2021
    Language: German
    Note: Zusammenfassung in deutscher und englischer Sprache
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  • 3
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    Springer
    In:  Helgoland Marine Research, 66 (3). pp. 307-317.
    Publication Date: 2019-09-23
    Description: We studied Ensis directus in the subtidal (7–16 m depth) of the eastern German Bight. The jack-knife clam that invaded in the German Bight in 1978 has all characteristics of a successful immigrant: Ensis directus has a high reproductive capacity (juveniles, July 2001: Amrumbank 1,914 m−2, Eiderstedt/Vogelsand: 11,638 m−2), short generation times and growths rapidly: maximum growth rates were higher than in former studies (mean: 3 mm month−1, 2nd year: up to 14 mm month−1). Ensis directus uses natural mechanisms for rapid dispersal, occurs gregariously and exhibits a wide environmental tolerance. However, optimal growth and population-structure annual gaps might be influenced by reduced salinity: at Vogelsand (transition area of Elbe river), maximum growth was lower (164 mm) than at the Eiderstedt site (outer range of Elbe river, L ∞ = 174 mm). Mass mortalities of the clams are probably caused by washout (video inspections), low winter temperature and strong storms. Ensis directus immigrated into the community finding its own habitat on mobile sands with strong tidal currents. Recent studies on E. directus found that the species neither suppresses native species nor takes over the position of an established one which backs up our study findings over rather short time scales. On the contrary, E. directus seems to favour the settlement of some deposit feeders. Dense clam mats might stabilise the sediment and function as a sediment-trap for organic matter. Ensis directus has neither become a nuisance to other species nor developed according to the ‘boom-and-bust’ theory. The fate of the immigrant E. directus rather is a story of a successful trans-ocean invasion which still holds on 23 years after the first findings in the outer elbe estuary off Vogelsand.
    Type: Article , PeerReviewed
    Format: text
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  • 4
    Publication Date: 2017-07-18
    Description: Megafauna play an important role in benthic ecosystem function and are sensitive indicators of environmental change. Non-invasive monitoring of benthic communities can be accomplished by seafloor imaging. However, manual quantification of megafauna in images is labor-intensive and therefore, this organism size class is often neglected in ecosystem studies. Automated image analysis has been proposed as a possible approach to such analysis, but the heterogeneity of megafaunal communities poses a non-trivial challenge for such automated techniques. Here, the potential of a generalized object detection architecture, referred to as iSIS (intelligent Screening of underwater Image Sequences), for the quantification of a heterogenous group of megafauna taxa is investigated. The iSIS system is tuned for a particular image sequence (i.e. a transect) using a small subset of the images, in which megafauna taxa positions were previously marked by an expert. To investigate the potential of iSIS and compare its results with those obtained from human experts, a group of eight different taxa from one camera transect of seafloor images taken at the Arctic deep-sea observatory HAUSGARTEN is used. The results show that inter-and intra-observer agreements of human experts exhibit considerable variation between the species, with a similar degree of variation apparent in the automatically derived results obtained by iSIS. Whilst some taxa (e. g. Bathycrinus stalks, Kolga hyalina, small white sea anemone) were well detected by iSIS (i.e. overall Sensitivity: 87%, overall Positive Predictive Value: 67%), some taxa such as the small sea cucumber Elpidia heckeri remain challenging, for both human observers and iSIS.
    Type: Article , PeerReviewed
    Format: text
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  • 5
    Publication Date: 2024-06-18
    Description: The area of investigations belongs to the subtidal (7-16 m depth) and is mostly covered by fine sand with spots of coarse sand in between. Based on the sediment distribution, two associations can be differentiated: fine and coarse sands, with smooth transitions (mixed and silty sediments). The species belonging to the different associations correspond with those of earlier investigations (ZIEGELMEIER 1963, STRIPP 1969, RACHOR & GERLACH 1978, ZIEGELMEIER 1978, RA CHOR 1980, SALZWEDEL et al. 1985, 1990, NIERMANN 1991 ), except for the new invader, the bivalve Ensis directus. During this study fluctuations in number of species and individuals could be observed. Diversity and evenness decreased in spring 2001 due to strong recruitment of polychaeta, but mainly of Ensis directus. 23 years after the invasion, Ensis directus is an important member of the sandy subtidal areas which are exposed to currents with a mean abundance of 925 m-2. E. directus does not seem to prefer special habitats. Their locomotion capacity above and within the sediment enables this species to react quickly on bottom disturbances and thus to survive in current exposed habitats. The mussel shows extremely high abundances (1972 respectively 5481 m-2) on fine and silty fine sands. During this study mainly one and two year old razor shells were found, some with a maximum age of 3.5 years. E. directus is an opportunistic species with mass development (MOHLENARDT-SIEGEL et al. 1983), high recruitment(〉 25000 m-2 in July 2001) and strong growth (3.6 mm month-1). Additionally, the mass mortalities (mortality of 77 respectively 84 % year-1) were observed, the reasons for that are not known yet. The interaction between low temperature and limited movement could be responsible for the washing out of the individuals. Since mortality takes place especially in springtime, the reasons could be the depletion after spawning aswell. Spisula solida was found regularly in the investigation area (frequency: 64 %), but in low numbers (mean abundance: 5 m-2). In coarse sand locally higher abundances were found (13 m-2). The surf clam is one of three dominant species (11 %) in this area. Just as E. directus, S. solida is a fast burrowing mussel (KOCK 1995) and therefore adapted to exposed sedimentary habitats. Nevertheless, the abundances in 2000 2001 lie well below values of those of the mid 90ies (MEIXNER 1993, 1994, KOCK 1995). This can also be seen in the decreasing landings of surf clams since the middle of the 90ies. Whether the effects of the ice winter 1995/96 or other reasons are responsible for the disappearance of S. solida, remains unclear. In the investigation area mainly small individuals were found (mean length: 9,7 mm). Due to the low figures in the sample neither growth rate nor recruitment or structure of the stock could be studied. The study shows the gap between the stocks of E. directus and S. solida, as well as fishery in the North Sea. Various details of the species biology remains unclear. Therefore supporting studies are necessary to ensure sustainable fishery.
    Type: Thesis , NonPeerReviewed
    Format: text
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  • 6
    Publication Date: 2024-01-25
    Description: Biological traits analysis is one of the most auspicious approaches to study the ecological functioning in marine ecosystems and provides a mechanistic link to ecosystem processes and properties. We used a Biological trait analysis to examine a dataset of 334 macrofaunal species that were collected at 4 long-term stations in the North Sea between 1969-2011. This data include seventeen biological traits related to life history (e.g. reproductive type) and behavior (e.g. feeding habit) of macrofuna species. In order to include all possible attributes of species, these traits were broken down into seventy-two categories. The affinities of the species to the categories were fuzzy coded with a scoring range of 0 to 3 (0= no affinity, 1= low affinity, 2=moderate affinity and 3=high association of taxon with the trait category). Missing values were supplemented by using information from the species in the nearest taxonomic level. If the affinity of a species to a category was not identified and there was no information available for the evaluation, a score of 0 was given for all the modalities associated with that species.
    Keywords: LTER_Benthos; Macrobenthic long-term series in the German Bight
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 7
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-01-25
    Keywords: Biological traits analysis; Duration in plankton stage; Fertilization type; Flexability; Fragility; Genus; German_Bight; German Bight, North Sea; Habitat; LTER_Benthos; Macrobenthic long-term series in the German Bight; MULT; Multiple investigations; Relative mobility; Relative size; Species
    Type: Dataset
    Format: text/tab-separated-values, 1893 data points
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  • 8
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-01-25
    Keywords: Adult longevity; Age at maturity; Biological traits analysis; Fecundity; Genus; German_Bight; German Bight, North Sea; LTER_Benthos; Macrobenthic long-term series in the German Bight; MULT; Multiple investigations; Size of organism; Species
    Type: Dataset
    Format: text/tab-separated-values, 1987 data points
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  • 9
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-01-25
    Keywords: Adult movement; Biological traits analysis; Diet type; Enviromental position; Feeding habitat; Genus; German_Bight; German Bight, North Sea; Larval development; LTER_Benthos; Macrobenthic long-term series in the German Bight; MULT; Multiple investigations; Reproductive type; Sexual differentiation; Species
    Type: Dataset
    Format: text/tab-separated-values, 4142 data points
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  • 10
    Publication Date: 2014-06-25
    Description: Marine benthic ecosystems are difficult to monitor and assess, which is in contrast to modern ecosystem-based management requiring detailed information at all important ecological and anthropogenic impact levels. Ecosystem management needs to ensure a sustainable exploitation of marine resources as well as the protection of sensitive habitats, taking account of potential multiple-use conflicts and impacts over large spatial scales. The urgent need for large-scale spatial data on benthic species and communities resulted in an increasing application of distribution modelling (DM). The use of DM techniques enables to employ full spatial coverage data of environmental variables to predict benthic spatial distribution patterns. Especially, statistical DMs have opened new possibilities for ecosystem management applications, since they are straightforward and the outputs are easy to interpret and communicate. Mechanistic modelling techniques, targeting the fundamental niche of species, and Bayesian belief networks are the most promising to further improve DM performance in the marine realm. There are many actual and potential management applications ofDMsin the marine benthic environment, these are (i) earlywarning systems for species invasion and pest control, (ii) to assess distribution probabilities of species to be protected, (iii) uses in monitoring design and spatial management frameworks (e.g. MPA designations), and (iv) establishing long-term ecosystem management measures (accounting for future climate-driven changes in the ecosystem). It is important to acknowledge also the limitations associated with DM applications in a marine management context as well as considering new areas for futureDMdevelopments. The knowledge of explanatory variables, for example, setting the basis for DM, will continue to be further developed: this includes both the abiotic (natural and anthropogenic) and the more pressing biotic (e.g. species interactions) aspects of the ecosystem.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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