Using the seawater dilution technique, we measured phytoplankton growth and microzooplankton grazing rates within and outside of the 1999 Bering Sea coccolithophorid bloom. We found that reduced microzooplankton grazing mortality is a key component in the formation and temporal persistence of the Emiliania huxleyi bloom that continues to proliferate in the southeast Bering Sea. Total chlorophyl...

We investigated the combined effect of reduced phosphorus supply and warmer winter and spring conditions on the diatom spring bloom of a shallow lake. Simulations with a simple dynamic model indicated that reduced ice cover and increasing water temperatures resulted in a more intense and earlier bloom independently of phosphorous concentrations. However, whereas the collapse of the bloom was ca...

-Trichodesmium is a filamentous cyanobacteria which forms dense blooms along the west coast of India. These are high biomass blooms which are mostly surface floating. The chlorophyll a content of water crossed >100 μgl -1 during active bloom and hence was ideal for the detection by space. Besides the Arabian Sea, the Lakshadweep Sea, the Andaman Sea and the Bay of Bengal are also well known sit...

The spring bloom is a key annual event in the phenology of pelagic ecosystems, making a major contribution to the oceanic biological carbon pump through the production and export of organic carbon. However, there is little consensus as to the main drivers of spring bloom formation, exacerbated by a lack of in situ observations of the phytoplankton community composition and its evolution during ...

Modern databases tailored to highly distributed, fault tolerant management of information for big data applications exploit a classical data structure for reducing disk and network I/O as well as for managing data distribution: The Bloom filter. This data structure allows to encode small sets of elements, typically the keys in a key-value store, into a small, constant-size data structure. In or...

A Bloom filter is a space-efficient data structure that answers set membership queries with some chance of a false positive. We introduce the problem of designing generalizations of Bloom filters designed to answer queries of the form, “Is x close to an element of S?” where closeness is measured under a suitable metric. Such a data structure would have several natural applications in networking...

A Bloom filter is a method for reducing the space (memory) required for representing a set by allowing a small error probability. In this paper we consider a Sliding Bloom Filter: a data structure that, given a stream of elements, supports membership queries of the set of the last n elements (a sliding window), while allowing a small error probability and a slackness parameter. The problem of s...

We examine the origin of Bloom-Gilman duality and the relationship between resonances and scaling in deep-inelastic scattering. A simple quantum mechanical model is used to illustrate the essential features of Bloom-Gilman duality at low momentum transfer. As an application of local duality, we discuss model-independent relations between structure functions at x ∼ 1 and elastic electromagnetic ...

Citation: Berg C, Dupont CL, Asplund-Samuelsson J, Celepli NA, Eiler A, Allen AE, Ekman M, Bergman B and Ininbergs K (2018) Dissection of Microbial Community Functions during a Cyanobacterial Bloom in the Baltic Sea via Metatranscriptomics. Front. Mar. Sci. 5:55. doi: 10.3389/fmars.2018.00055 Dissection of Microbial Community Functions during a Cyanobacterial Bloom in the Baltic Sea via Metatra...

We present a novel approach to deal with the modeling and operational aspects of the interdatabase existence dependency problem. By extending our canonical model BLOOM with high level abstractions (Metaclasses) for the different kinds of existence dependencies and their corresponding enforcement policies, inter-dependencies are declaratively specified and their behavior embodied into the model ...