Competition Drives Clumpy Species Coexistence in Estuarine Phytoplankton

Understanding the mechanisms that maintain biodiversity is a fundamental problem in ecology. Competition is thought to reduce diversity, but hundreds of microbial aquatic primary producers species coexist and compete for a few essential resources (e.g., nutrients and light). Here, we show that resource competition is a plausible mechanism for explaining clumpy distribution on individual species volume (a proxy for the niche) of estuarine phytoplankton communities ranging from North America to South America and Europe, supporting the Emergent Neutrality hypothesis. Furthermore, such a clumpy distribution was also observed throughout the Holocene in diatoms from a sediment core. A Lotka-Volterra competition model predicted position in the niche axis and functional affiliation of dominant species within and among clumps. Results support the coexistence of functionally equivalent species in ecosystems and indicate that resource competition may be a key process to shape the size structure of estuarine phytoplankton, which in turn drives ecosystem functioning.

La ruptura de una economía moral y las deslegitimación de las deudas hipotecarias

In Spain, during the recent housing bubble, purchasing a home seemed the most advantageous strategy to access housing, and there was a wide social consensus about the unavoidability of mortgage indebtedness. However, such consensus has been challenged by the financial and real-estate crisis. The victims of home repossessions have been affected by the transgression of several principles, such as the fair compensation for effort and sacrifice, the prioritisation of basic needs over financial commitments, the possibility of a second chance for over-indebted people, or the State's responsibility to guarantee its citizens' livelihood. Such principles may be understood as part of a moral economy, and their transgression has resulted in the emergence of a social movement, the Plataforma de Afectados por la Hipoteca (PAH), that is questioning the legitimacy of mortgage debts. The article reflects on the extent to which the perception of over-indebtedness and evictions as unfair situations can have an effect on the reproduction of the political-economic system, insofar the latter is perceived as able or unable to repair injustice.

Theorising European Integration: Revisiting Neo-Functionalism and Testing its Suitability for Explaining the Development of EC Competition Policy?

This paper was published in the highly respected, peer reviewed and ISI ranked journal - 'European Integration on-line paper series

Fragmentation of metastable SF6−* ions with microsecond lifetimes in competition with autodetachment

Fragmentation of metastable SF6-* ions formed in low energy electron attachment to SF₆has been investigated. The dissociation reaction SF6-*?SF5-+F has been observed ~ 1.5–3.4 µs and ~ 17–32 µs after electron attachment in a time-of-flight and a double focusing two sector field mass spectrometer, respectively. Metastable dissociation is observed with maximum intensity at ~ 0.3 eV between the SF6-* peak at zero and theSF5- peak at ~ 0.4 eV. The kinetic energy released in dissociation is low, with a most probable value of 18 meV. The lifetime of SF6-* decreases as the electron energy increases, but it is not possible to fit this decrease with statistical Rice–Ramsperger–Kassel/quasiequilibrium theory. Metastable dissociation of SF6-* appears to compete with autodetachment of the electron at all electron energies.

Gene selection by cooperative competition clustering

Clustering analysis of data from DNA microarray hybridization studies is an essential task for identifying biologically relevant groups of genes. Attribute cluster algorithm (ACA) has provided an attractive way to group and select meaningful genes. However, ACA needs much prior knowledge about the genes to set the number of clusters. In practical applications, if the number of clusters is misspecified, the performance of the ACA will deteriorate rapidly. In fact, it is a very demanding to do that because of our little knowledge. We propose the Cooperative Competition Cluster Algorithm (CCCA) in this paper. In the algorithm, we assume that both cooperation and competition exist simultaneously between clusters in the process of clustering. By using this principle of Cooperative Competition, the number of clusters can be found in the process of clustering. Experimental results on a synthetic and gene expression data are demonstrated. The results show that CCCA can choose the number of clusters automatically and get excellent performance with respect to other competing methods.