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  • 1
    Electronic Resource
    Electronic Resource
    Palo Alto, Calif. : Annual Reviews
    Annual Review of Ecology, Evolution, and Systematics 32 (2001), S. 51-93 
    ISSN: 0066-4162
    Source: Annual Reviews Electronic Back Volume Collection 1932-2001ff
    Topics: Biology
    Notes: Abstract Most of our knowledge of biodiversity and its causes in the deep-sea benthos derives from regional-scale sampling studies of the macrofauna. Improved sampling methods and the expansion of investigations into a wide variety of habitats have revolutionized our understanding of the deep sea. Local species diversity shows clear geographic variation on spatial scales of 100-1000 km. Recent sampling programs have revealed unexpected complexity in community structure at the landscape level that is associated with large-scale oceanographic processes and their environmental consequences. We review the relationships between variation in local species diversity and the regional-scale phenomena of boundary constraints, gradients of productivity, sediment heterogeneity, oxygen availability, hydrodynamic regimes, and catastrophic physical disturbance. We present a conceptual model of how these interdependent environmental factors shape regional-scale variation in local diversity. Local communities in the deep sea may be composed of species that exist as metapopulations whose regional distribution depends on a balance among global-scale, landscape-scale, and small-scale dynamics. Environmental gradients may form geographic patterns of diversity by influencing local processes such as predation, resource partitioning, competitive exclusion, and facilitation that determine species coexistence. The measurement of deep-sea species diversity remains a vital issue in comparing geographic patterns and evaluating their potential causes. Recent assessments of diversity using species accumulation curves with randomly pooled samples confirm the often-disputed claim that the deep sea supports higher diversity than the continental shelf. However, more intensive quantitative sampling is required to fully characterize the diversity of deep-sea sediments, the most extensive habitat on Earth. Once considered to be constant, spatially uniform, and isolated, deep-sea sediments are now recognized as a dynamic, richly textured environment that is inextricably linked to the global biosphere. Regional studies of the last two decades provide the empirical background necessary to formulate and test specific hypotheses of causality by controlled sampling designs and experimental approaches.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    [s.l.] : Macmillan Magazines Ltd.
    Nature 403 (2000), S. 725-726 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Symbiont-containing mussels (Mytilidae) are found at hydrothermal vents and cold seeps on the ocean floor, but it is not known whether these taxa represent an ancient lineage endemic to these surroundings or are more recent invaders. Here we show that several small and poorly known mussels, ...
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1435-1803
    Keywords: Key words Transmyocardial laser revascularization – angiogenesis – basic fibroblast growth factor (bFGF) – blood flow – ischemic heart disease
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract Objectives. To determine whether addition of basic fibroblast growth factor (bFGF), an angiogenic growth factor, enhances the angiogenic effects of transmyocardial laser revascularization (TMR). Background. TMR is an investigational therapy for treating patients with medically refractory angina not amenable to traditional therapies. Histologic and blood flow studies in animals have suggested that TMR enhances angiogenesis above that normally seen in ischemic myocardium. We tested the hypothesis that bFGF administered into TMR channels further enhance the angiogenic effects of TMR. Methods. Chronic ischemia was created in 3 groups of dogs using an ameroid constrictor on the proximal LAD. In the bFGF group (n = 5) non-transmyocardial channels were created in the LAD territory and bFGF, (100 ng/ml) dissolved in pluronic gel was injected into the each channel. In the TMR group (n = 7), transmyocardial channels were created without bFGF. A control group (n = 7) had ischemia without TMR of bFGF. 5-bromo-2'-deoxyuridine (BrdU) was administered to mark proliferating cells. After 8 weeks survival, colored microspheres were injected to assess the regional myocardial blood flow. Results. TMR and TMR+bFGF increased total vascular density by ∼40% over that observed in the control group. However, the number of large vessels (internal diameter ≥ 50 μm) was doubled by the addition of bFGF, and this correlated with a 50% increase in the density of proliferating vascular cells and a tripling of the total estimated vascular cross sectional area. Blood flow to the LAD territory was increased by TMR compared to controls, with no further benefit observed in the bFGF group. Conclusions. On a histologic basis, basic fibroblast growth factor further enhances angiogenesis following TMR in ischemic myocardium mainly by increased the size but not the total number of vessels.
    Type of Medium: Electronic Resource
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  • 4
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: BOWLS mooring epifauna counts
    Description: This dataset contains counts of epifaunal organism Phyla from BOWLS moorings deployed in April of 2013 and recovered in June of 2014. Phyla sampled: Annelida, Arthropoda, Chaetognatha, Chordata, Cnidaria, Echinodermata, Kinorhynca, Mollusca, Nematoda, Nemertea, and Platyhelminthes. Also included are the mooring identifiers, substrate type (control, wood, whale-bone), latitude, longitude, depth, and deployment and recovery dates. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/676064
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1155188, NSF Division of Ocean Sciences (NSF OCE) OCE-1155703
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 5
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: BOWLS mooring infauna counts
    Description: This dataset contains counts of infaunal organism Phyla from BOWLS moorings deployed in April of 2013 and recovered in June of 2014. Phyla sampled: Annelida, Arthropoda,Chordata, Cnidaria, Echinodermata, Kinorhynca, Mollusca, Nemertea, and Platyhelminthes. Also included are the mooring identifiers, substrate type (control, wood, whale-bone), latitude, longitude, depth, and deployment and recovery dates. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/724434
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1155188, NSF Division of Ocean Sciences (NSF OCE) OCE-1155703
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: BOWLS Moorings
    Description: Metadata describing mooring deployment and recovery from R/V Oceanus cruises OC1304A and OC1406B off the Coast of Oregon from 2013-2014 (BOWLS project) For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/568713
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1155188, NSF Division of Ocean Sciences (NSF OCE) OCE-1155703
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 7
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-27
    Description: Dataset: Abyssal Bulk Isotope Analyses
    Description: This dataset includes bulk isotopic composition (d15N and d13C) of abyssal megafauna and macrofauna from Station M and Station Aloha. Macrofauna and megafauna were collected in May and October 2019 using the HOV Alvin and the ROV Doc Ricketts, respectively, at Station M and in July 2019, January 2020, and July 2020 using ROV Lu'ukai at Station Aloha. Macrofauna at Station M were collected using HOV-operated Ekman cores (20x20 cm). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/866774
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829612
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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