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  • 2015-2019  (15)
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  • 1
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Andrade, Hector; Renaud, Paul E; Wlodarska-Kowalczuk, Maria; Pardus, Joanna; Carroll, Michael L; Cochrane, Sabine K J; Dahle, Salve; Palerud, Rune (2017): Benthic fauna in soft sediments from the Barents and Pechora Seas. Metadata and database from Akvaplan-niva AS research expeditions, from 1992-2005. Akvaplan-niva Rapport, APN-6770-001, 14 pp, hdl:10013/epic.51439.d001
    Publikationsdatum: 2023-12-13
    Beschreibung: Benthic infaunal abundance data from 138 stations in the Barents Sea and surrounding waters are provided in a public database. All samples were collected with a 0.1 m2 van Veen grab and identification was carried out by professional taxonomists. Most abundance data are presented at the species level.
    Schlagwort(e): Abietinaria sp.; Abyssoninoe hibernica; Abyssoninoe sp.; Acanthonotozoma cristatum; Acanthonotozoma inflatum; Acanthonotozoma serratum; Acanthonotozoma sp.; Acanthostepheia behringiensis; Acanthostepheia malmgreni; Aceroides latipes; Aceroides sedovi; Acidostoma obesum; Actiniaria indeterminata; Actinia sp.; Actiniidae indeterminata; Admete couthouyi; Admete sp.; Admete viridula; Aeginina longicornis; Aeta sp.; Aglaophamus malmgreni; Alcyonacea indeterminata; Alcyonidium disciforme; Alcyonidium excavatum; Alcyonidium gelatinosum; Alcyonidium gelatinosum andessoni; Alcyonidium mamillatum; Alcyonidium mytili; Alcyonidium protoseideum; Alcyonidium radicellatum; Alcyonidium sp.; Allia sp.; Alvania jeffreysi; Alvania moerchi; Alvania scrobiculata; Alvania sp.; Alvania viridula; Alvania wyvillethomsoni; Amaeana trilobata; Amage auricula; Amauropsis islandica; Ampelisca eschrichtii; Ampelisca macrocephala; Ampelisca sp.; Ampeliscidae indeterminata; Ampharete acutifrons; Ampharete baltica; Ampharete borealis; Ampharete finmarchica; Ampharete goesi; Ampharete lindstroemi; Ampharete sp.; Ampharete vega; Ampharetidae indeterminata; Amphiblestrum auritum; Amphiblestrum septentrionalis; Amphiblestrum solidum; Amphicteis gunneri; Amphicteis ninonae; Amphicteis sundevalli; Amphictene auricoma; Amphilochidae indeterminata; Amphilochus manudens; Amphilochus sp.; Amphipholis torelli; Amphipoda indeterminata; Amphiporidae indeterminata; Amphitrite cirrata; Amphitrite groenlandica; Amphitritinae indeterminata; Amphiura sp.; Amphiura sundevalli; Ampithoe sp.; Anasca spp.; Anatoma crispata; Anobothrus gracilis; Anonyx laticoxae; Anonyx lilljeborgii; Anonyx nugax; Anonyx sarsi; Anonyx sp.; Anopla indeterminata; Antalis entalis; Antalis sp.; Anthozoa indeterminata; Antinoella badia; Antinoella sp.; Aoridae indeterminata; Aphelochaeta marioni; Aphelochaeta sp.; Apherusa sarsii; Aphroditidae indeterminata; Apistobranchus sp.; Apistobranchus tullbergi; Aplacophora spp.; Apomatus sp.; Apseudidae indeterminata; Arachnidium simplex; Arctic_sta1; Arctic_sta10; Arctic_sta11; Arctic_sta118; Arctic_sta119; Arctic_sta12; Arctic_sta122; Arctic_sta128; Arctic_sta13; Arctic_sta133; Arctic_sta135; Arctic_sta140; Arctic_sta141; Arctic_sta145; Arctic_sta148; Arctic_sta15; Arctic_sta151; Arctic_sta159; Arctic_sta16; Arctic_sta161; Arctic_sta162; Arctic_sta163; Arctic_sta17; Arctic_sta171; Arctic_sta174; Arctic_sta178; Arctic_sta18; Arctic_sta21; Arctic_sta22; Arctic_sta24; Arctic_sta26; Arctic_sta28; Arctic_sta29; Arctic_sta31; Arctic_sta32; Arctic_sta34; Arctic_sta4; Arctic_sta45; Arctic_sta47; Arctic_sta48; Arctic_sta5; Arctic_sta50; Arctic_sta5191; Arctic_sta5192; Arctic_sta5193; Arctic_sta52; Arctic_sta54; Arctic_sta5531; Arctic_sta5532; Arctic_sta5533; Arctic_sta5534; Arctic_sta5535; Arctic_sta5536; Arctic_sta5537; Arctic_sta5538; Arctic_sta56; Arctic_sta57; Arctic_sta58; Arctic_sta6; Arctic_sta617; Arctic_sta618; Arctic_sta619; Arctic_sta620; Arctic_sta621; Arctic_sta622; Arctic_sta623; Arctic_sta624; Arctic_sta625; Arctic_sta626; Arctic_sta627; Arctic_sta628; Arctic_sta629; Arctic_sta630; Arctic_sta65; Arctic_sta7; Arctic_sta8; Arctic_sta811; Arctic_sta812; Arctic_sta813; Arctic_sta814; Arctic_sta815; Arctic_sta816; Arctic_sta817; Arctic_sta818; Arctic_sta819; Arctic_sta820; Arctic_sta821; Arctic_sta822; Arctic_sta823; Arctic_sta824; Arctic_sta9; Arctic_staBS1; Arctic_staBS10; Arctic_staBS11; Arctic_staBS12; Arctic_staBS13; Arctic_staBS14; Arctic_staBS15; Arctic_staBS16; Arctic_staBS17; Arctic_staBS18; Arctic_staBS19; Arctic_staBS2; Arctic_staBS20; Arctic_staBS21; Arctic_staBS22; Arctic_staBS23; Arctic_staBS24; Arctic_staBS25; Arctic_staBS26; Arctic_staBS27; Arctic_staBS28; Arctic_staBS29; Arctic_staBS3; Arctic_staBS30; Arctic_staBS31; Arctic_staBS32; Arctic_staBS33; Arctic_staBS34; Arctic_staBS35; Arctic_staBS36; Arctic_staBS37; Arctic_staBS38; Arctic_staBS39; Arctic_staBS4; Arctic_staBS40; Arctic_staBS41; Arctic_staBS42; Arctic_staBS43; Arctic_staBS44; Arctic_staBS45; Arctic_staBS46; Arctic_staBS47; Arctic_staBS5; Arctic_staBS6; Arctic_staBS7; Arctic_staBS8; Arctic_staBS9; Arctica islandica; Arctinula greenlandica; Arctolembos arcticus; Arctonula arctica; Argissa hamatipes; Ariadnaria borealis; Aricidea catherinae; Aricidea hartmani; Aricidea nolani; Aricidea quadrilobata; Aricidea sp.; Arrhinopsis longicornis; Arrhis phyllonyx; Arrhis phyllonyx arcticus; Artacama proboscidea; Ascidiacea indeterminata; Ascidia sp.; Asellota indeterminata; Astarte borealis; Astarte crebricostata; Astarte crenata; Astarte elliptica; Astarte montagui; Astarte sp.; Astarte sulcata; Astartidae indeterminata; Asterias rubens; Asteroidea indeterminata; Astrorhiza limicola; Asychis biceps; Athecata indeterminata; Atylus carinatus; Atylus smittii; Atylus sp.; Augeneria algida; Autolytus sp.; Axinopsida orbiculata; Axionice flexuosa; Axionice maculata; Axiothella sp.; Balanidae indeterminata; Balanus balanus; Balanus crenatus; Balanus sp.; Barents Sea; Bathyarca frielei; Bathyarca glacialis; Bathyarca pectunculoides; Bathyarca sp.; Bispira crassicornis; Bivalvia; Boltenia echinata; Boreonymphon robustum; Boreotrofon sp.; Boreotrophon truncatus; Bowerbankia arctica; Bowerbankia caudata; Bowerbankia imbricata; Bowerbankia sp.; Brachiopoda indeterminata; Brachydiastylis resima; Brachyura indeterminata; Brada granulosa; Brada inhabilis; Brada rugosa; Brada sp.; Brada villosa; Branchiomma arcticum; Branchiomma bombyx; Branchiomma infarctum; Branchiomma sp.; Brisaster fragilis; Brookesena turrita; Bryozoa indeterminata; Buccinidae indeterminata; Buccinum cyaneum; Buccinum glaciale; Buccinum sp.; Buccinum undatum; Buffonellaria biaperta; Buffonellaria divergens; Bugula elongata; Bugula fastigiata; Bugula harmsworthi; Bugula purpurotincta; Bushiella (Jungaria) quadrangularis; Byblis arcticus; Byblis erythrops; Byblis gaimardi; Byblis longicornis; Byblis minuticornis; Byblis sp.; Bylgides elegans; Bylgides groenlandicus; Bylgides promamme; Bylgides sarsi; Bylgides sp.; Caecognathia elongata; Calanoida indeterminata; Calathura brachiata; Calliopiidae indeterminata; Calliopius laeviusculus; Callopora craticula; Callopora lata; Callopora lineata; Callopora obesa; Callopora smitti; Callopora sp.; Callopora whiteavesi; Campanularia volubilis; Campylaspis costata; Campylaspis glabra; Campylaspis horrida; Campylaspis rubicunda; Campylaspis sp.; Campylaspis stephenseni; Campylaspis sulcata; Campylaspis umbensis; Capitella capitata; Capitella sp.; Capitellidae indeterminata; Capnella florida; Capnella glomerata; Caprellidae indeterminata; Cardiidae indeterminata; Carinina sp.; Carinoma sp.; Caudofoveata indeterminata; Cauloramphopus spiniferum; Cellepora nodulosa; Cellepora pumicosa; Cellepora sp.; Celleporella hyalina; Celleporina incrassata; Celleporina sp.; Celleporina surcularis; Celleporina ventricosa; Ceradocus torelli; Cerebratulus longifissus; Cerebratulus sp.; Cerianthus lloydii; Cerianthus sp.; Cerithiella metula; Chaetoderma intermedium; Chaetoderma nitidulum; Chaetoderma sp.; Chaetonymphon sp.; Chaetozone setosa; Chaetozone sp.; Chartella membranaceotruncata; Cheilopora sincera; Cheiloporina sincera; Cheiloporina sp.; Cheilostomatida indeterminata; Chirimia biceps; Chironomidae indeterminata; Chitinopoma serrula; Chlamys islandica; Chlamys sp.; Chone analis; Chone duneri; Chone filicaudata; Chone infundibuliformis; Chone murmanica; Chone paucibranchiata; Chone perseyi; Chone sp.; Ciliatocardium ciliatum; Cingula globosus; Cingula sp.; Circeis armoricana; Circeis spirillum; Cirratulidae indeterminata; Cirratulus caudatus; Cirratulus cirratus; Cirratulus sp.; Cirripedia indeterminata; Cirrophorus branchiatus; Cirrophorus furcatus; Cistenides hyperborea; Clavodorum sp.; Clinocardium ciliatum; Clione limacina; Clymenura borealis; Clymenura polaris; Clymenura sp.; Cnemidocarpa rhizopus; Cnidaria indeterminata; Colus sabini; Colus sp.; Copepoda indeterminata; Corophiidae indeterminata; Corophium bonnellii; Corophium
    Materialart: Dataset
    Format: text/tab-separated-values, 190164 data points
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  • 2
    Publikationsdatum: 2019-02-01
    Beschreibung: Time-series studies of arctic marine ecosystems are rare. This is not surprising since polar regions are largely only accessible by means of expensive modern infrastructure and instrumentation. In 1999, the Alfred Wegener Institute, Helmholtz-Centre for Polar and Marine Research (AWI) established the LTER (Long-Term Ecological Research) observatory HAUSGARTEN crossing the Fram Strait at about 79° N. Multidisciplinary investigations covering all parts of the open-ocean ecosystem are carried out at a total of 21 permanent sampling sites in water depths ranging between 250 and 5500 m. From the outset, repeated sampling in the water column and at the deep seafloor during regular expeditions in summer months was complemented by continuous year-round sampling and sensing using autonomous instruments in anchored devices (i.e., moorings and free-falling systems). The central HAUSGARTEN station at 2500 m water depth in the eastern Fram Strait serves as an experimental area for unique biological in situ experiments at the seafloor, simulating various scenarios in changing environmental settings. Long-term ecological research at the HAUSGARTEN observatory revealed a number of interesting temporal trends in numerous biological variables from the pelagic system to the deep seafloor. Contrary to common intuition, the entire ecosystem responded exceptionally fast to environmental changes in the upper water column. Major variations were associated with a Warm-Water-Anomaly evident in surface waters in eastern parts of the Fram Strait between 2005 and 2008. However, even after 15 years of intense time-series work at HAUSGARTEN, we cannot yet predict with complete certainty whether these trends indicate lasting alterations due to anthropologically-induced global environmental changes of the system, or whether they reflect natural variability on multiyear time-scales, for example, in relation to decadal oscillatory atmospheric processes.
    Materialart: Article , PeerReviewed
    Format: text
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  • 3
    Publikationsdatum: 2021-01-20
    Beschreibung: Seagrass meadows are among the most diverse and productive coastal ecosystems in the world. Currently, the accelerating loss of these habitats is recognized worldwide. In the southern Baltic Sea, a natural recovery of Zostera marina meadows has occurred after a dramatic reduction within the last century. The aim of this study is to understand if and how the recovering eelgrass meadows affect the functioning of benthic ecosystems. The trophic links within the benthic food webs in the seagrass meadows and bare sandy bottoms were depicted and compared. The trophic connections were examined by combining stable isotope (SI) composition (δ13C, δ15N) and fatty acid (FA) profiles of meio- and macrofauna consumers and of potential food sources (particulate organic matter, surface sediment organic matter, epiphytes, microphytobenthos/bacteria and macrophytes) in a Bayesian mixing model framework (MixSIAR). Significantly higher amounts of the FA bacterial marker (C18:1ɷ7) were observed in meiofauna (approximately 40%) than in the macrofauna (1% on average), suggesting that bacteria are an important part of the meiofauna diet. The mixing model results indicated that the benthic consumers in the vegetated habitat utilized more food sources (e.g., epiphytes in the diets of meiofauna and macrofaunal grazers) and thus had a more diverse diet. Macrofaunal omnivores relied to a larger degree on animal-derived organic matter in vegetated habitat, which could be linked to higher invertebrate prey availability. The results highlight the importance of recovering seagrass meadows in driving the mechanisms responsible for food web organization. Any type of change to the state of seagrass meadows is crucial to the functioning and stability of marine ecosystems.
    Materialart: Article , PeerReviewed
    Format: text
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  • 4
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    Unbekannt
    Elsevier
    In:  Journal of Experimental Marine Biology and Ecology, 510 . pp. 54-63.
    Publikationsdatum: 2020-01-02
    Beschreibung: Seagrass meadows ecosystem engineering effects are correlated to their density (which is in turn linked to seasonal cycles) and often cannot be perceived below a given threshold level of engineer density. The density and biomass of seagrass meadows (Z. marina) together with associated macrophytes undergo substantial seasonal changes, with clear declines in winter. The present study aims to test whether the seasonal changes in the density of recovering seagrass meadows affect the benthic food webs of the southern Baltic Sea (Puck Bay). It includes meiofauna, macrofauna and fish of vegetated and unvegetated habitats in summer and winter seasons. Two levels of organization have been tested – species-specific diet preferences using stable isotopes (δ13C, δ15N) in Bayesian mixing models (MixSIAR) and the community-scale food web characteristics by means of isotopic niches (SIBER). Between-habitat differences were observed for grazers, as a greater food source diversity in species from vegetated habitats was noted in both seasons. Larger between-habitat differences in winter were documented for suspension/detritus feeders. The community-wide approach showed that the differences between the habitats were greater in winter than in summer (as indicated by the lower overlap of the respective isotope niches). Overall, the presence of seagrass meadows increased ecological stability (in terms of the range of food sources utilized by consumers) in the faunal assemblage, while invertebrates from unvegetated areas shifted their diet to cope with winter conditions. Therefore, as a more complex system, not sensitive to seasonal changes, Z. marina meadows create a stable habitat with high resilience potential.
    Materialart: Article , PeerReviewed
    Format: text
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  • 5
    facet.materialart.
    Unbekannt
    In:  EPIC353rd European Marine Biology Symposium, Oostende, Belgium, 2018-09-17-2018-09-21
    Publikationsdatum: 2019-01-10
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Conference , notRev
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  • 6
    Publikationsdatum: 2018-09-12
    Beschreibung: We present bathymetric patterns in benthic community structure and functioning at the LTER (Long-term Ecological Research) observatory HAUSGARTEN in the Fram Strait. Meiofauna, macrofauna and sediments were sampled at 15 stations along a bathymetric gradient from Spitsbergen coastal waters (100-300m) across the Vestnesa Ridge (1000m) to a Molloy Hole (5561m). Benthic organisms were identified, enumerated and photographed to obtain individual dimensions, biovolume and biomass. Secondary production, respiration and carbon demand were estimated based on individual biomass data. Benthic size spectra were constructed by plotting the biomass against the log2-transformed size classes. Benthic standing stocks, production and carbon demand declined with depth alongside with the decline in food quantity and quality (as indicated by POC and chlorophyll a content in sediments). Compared to those for the meiofauna, bathymetric clines were stronger for macrofauna and a transition towards a system dominated by smaller organisms in deeper ocean zones could be documented. Meiofauna:macrofauna biomass and production ratios increased from 0.1 and 0.6, respectively, in coastal waters to 0.3 and 1.9 on the rise (4042-5102m). The benthic biomass size spectra was bimodal in shape, the width of size spectra declined with increasing depth (from 32 to 23 classes). A reduction of the number of size classes was stronger in macrofaunal part of the spectra. The largest and the smallest size classes as well as the peak in biomass for macrofauna were shifted towards smaller sizes in deeper zones. Fragmented size spectra observed at the two stations (including the Molloy Hole) could be interpreted as effects of physical sediment disturbance (by currents or bioturbation) and resulted in dramatic increase in meiofauna:macrofauna ratio in biomass (0.8) and production (6.5) in the Molloy Hole. The presented patterns are likely to be modified by on-going regional changes in ice coverage and productivity, and the food supply to the deep sea in the course of the climate warming.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Conference , notRev
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  • 7
    Publikationsdatum: 2018-05-06
    Beschreibung: Polar marine regions are facing rapid changes induced by climate change, with consequences for local faunal populations, but also for overall ecosystem functioning, goods and services. Yet given the complexity of polar marine ecosystems, predicting the mode, direction and extent of these consequences remains challenging. Trait-based approaches are increasingly adopted as a tool by which to explore changes in functioning, but trait information is largely absent for the high latitudes. Some understanding of trait–function relationships can be gathered from studies at lower latitudes, but given the uniqueness of polar ecosystems it is questionable whether these relationships can be directly transferred. Here we discuss the challenges of using trait-based approaches in polar regions and present a roadmap of how to overcome them by following six interlinked steps: (1) forming an active, international research network, (2) standardizing terminology and methodology, (3) building and crosslinking trait databases, (4) conducting coordinated trait-function experiments, (5) implementing traits into models, and finally, (6) providing advice to management and stakeholders. The application of trait-based approaches in addition to traditional species-based methods will enable us to assess the effects of rapid ongoing changes on the functioning of marine polar ecosystems. Implementing our roadmap will make these approaches more easily accessible to a broad community of users and consequently aid understanding of the future polar oceans.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev , info:eu-repo/semantics/article
    Format: application/pdf
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  • 8
    Publikationsdatum: 2021-03-29
    Beschreibung: Time-series studies of arctic marine ecosystems are rare. This is not surprising since polar regions arelargely only accessible by means of expensive modern infrastructure and instrumentation. In 1999, theAlfred Wegener Institute, Helmholtz-Centre for Polar and Marine Research (AWI) established the LTER(Long-Term Ecological Research) observatory HAUSGARTEN crossing the Fram Strait at about 79◦N.Multidisciplinary investigations covering all parts of the open-ocean ecosystem are carried out at a totalof 21 permanent sampling sites in water depths ranging between 250 and 5500 m. From the outset,repeated sampling in the water column and at the deep seafloor during regular expeditions in summermonths was complemented by continuous year-round sampling and sensing using autonomous instru-ments in anchored devices (i.e., moorings and free-falling systems). The central HAUSGARTEN stationat 2500 m water depth in the eastern Fram Strait serves as an experimental area for unique biologicalin situ experiments at the seafloor, simulating various scenarios in changing environmental settings.Long-term ecological research at the HAUSGARTEN observatory revealed a number of interesting tem-poral trends in numerous biological variables from the pelagic system to the deep seafloor. Contrary tocommon intuition, the entire ecosystem responded exceptionally fast to environmental changes in theupper water column. Major variations were associated with a Warm-Water-Anomaly evident in sur-face waters in eastern parts of the Fram Strait between 2005 and 2008. However, even after 15 years ofintense time-series work at HAUSGARTEN, we cannot yet predict with complete certainty whether thesetrends indicate lasting alterations due to anthropologically-induced global environmental changes of thesystem, or whether they reflect natural variability on multiyear time-scales, for example, in relation todecadal oscillatory atmospheric processes.
    Schlagwort(e): HAUSGARTEN; Arctic Ocean; Deep sea; Natural variability; Anthropogenic impact ; 551
    Sprache: Englisch
    Materialart: article , publishedVersion
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  • 9
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    Unbekannt
    In:  EPIC314th Deep-Sea Biology Symposium, Aveiro, Portugal, 2015-08-31-2015-09-04
    Publikationsdatum: 2015-11-27
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Conference , notRev
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  • 10
    Publikationsdatum: 2017-08-01
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
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