1,720,971 research outputs found
Population size, viability and genetic diversity in the orchid Gymnadenia conopsea
In this thesis, I combined controlled crosses with genetic and demographic data to examine how a main conservation value indicator, population size, was associated with estimates of population viability. I focused on the still common, but decreasing, perennial orchid Gymnadenia conopsea at two spatial scales—locally on the island Öland, in SE Sweden, and regionally across Scandinavia. I aimed to determine whether: (1) population size or density could predict the strength of heterosis and inbreeding depression, (2) local density variation within populations affected self-pollen transfer and relatedness of individuals, (3) genetic diversity increased with population size or density, and genetic differentiation and diversity predicted the strength of heterosis, (4) population growth rate increased with population size and genetic diversity, and (5) large-scale genetic structure indicated several independent colonization events in Scandinavia, with clear genetic groups and genetic diversity hotspots. I found heterosis to decrease and inbreeding depression to increase with local density in Öland populations. The proportion of deposited self-pollen decreased with local density, but established individuals located in sparse patches were not more related than those in dense ones, possibly due to high inbreeding depression at early life stages. Genetic diversity increased with population size, but neither population genetic differentiation or within population genetic diversity was related to the strength of heterosis or inbreeding depression. I found the majority of Öland populations to be declining, and population growth rate to increase with population size. This relationship was driven by higher survival in large populations, and most likely reflects that population size was positively associated with local habitat quality and stability. Population growth rate was not related to the amount of genetic diversity within the population, suggesting declines are not driven by genetic erosion. At the Scandinavian scale, I identified three genetic groups, consistent with two independent post-glacial colonizations followed by admixture. High genetic diversity was found in southern and central populations, while low diversity was seen in marginal populations along the Atlantic coast. In conclusion, population size was associated with both genetic diversity and population viability at the Öland scale. Genetic diversity was not related to the strength of heterosis or population viability, suggesting that demographic metrics can be more informative than genetic metrics, regarding conservation priority
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Population size, viability and genetic diversity in the orchid Gymnadenia conopsea
In this thesis, I combined controlled crosses with genetic and demographic data to examine how a main conservation value indicator, population size, was associated with estimates of population viability. I focused on the still common, but decreasing, perennial orchid Gymnadenia conopsea at two spatial scales—locally on the island Öland, in SE Sweden, and regionally across Scandinavia. I aimed to determine whether: (1) population size or density could predict the strength of heterosis and inbreeding depression, (2) local density variation within populations affected self-pollen transfer and relatedness of individuals, (3) genetic diversity increased with population size or density, and genetic differentiation and diversity predicted the strength of heterosis, (4) population growth rate increased with population size and genetic diversity, and (5) large-scale genetic structure indicated several independent colonization events in Scandinavia, with clear genetic groups and genetic diversity hotspots. I found heterosis to decrease and inbreeding depression to increase with local density in Öland populations. The proportion of deposited self-pollen decreased with local density, but established individuals located in sparse patches were not more related than those in dense ones, possibly due to high inbreeding depression at early life stages. Genetic diversity increased with population size, but neither population genetic differentiation or within population genetic diversity was related to the strength of heterosis or inbreeding depression. I found the majority of Öland populations to be declining, and population growth rate to increase with population size. This relationship was driven by higher survival in large populations, and most likely reflects that population size was positively associated with local habitat quality and stability. Population growth rate was not related to the amount of genetic diversity within the population, suggesting declines are not driven by genetic erosion. At the Scandinavian scale, I identified three genetic groups, consistent with two independent post-glacial colonizations followed by admixture. High genetic diversity was found in southern and central populations, while low diversity was seen in marginal populations along the Atlantic coast. In conclusion, population size was associated with both genetic diversity and population viability at the Öland scale. Genetic diversity was not related to the strength of heterosis or population viability, suggesting that demographic metrics can be more informative than genetic metrics, regarding conservation priority
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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