13 resultados para data fitting
em Universidade dos Açores - Portugal
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27th Annual Conference of the European Cetacean Society. Setúbal, Portugal, 8-10 April 2013.
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This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
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Copyright © 2013 Springer Netherlands.
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V Congreso de Eficiencia y Productividad EFIUCO, Córdoba, 19-20 Mayo 2011.
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25th Annual Conference of the European Cetacean Society, Cadiz, Spain 21-23 March 2011.
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27th Annual Conference of the European Cetacean Society. Setúbal, Portugal, 8-10 April 2013.
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Copyright © 2014 The Authors. Methods in Ecology and Evolution © 2014 British Ecological Society.
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The species abundance distribution (SAD) has been a central focus of community ecology for over fifty years, and is currently the subject of widespread renewed interest. The gambin model has recently been proposed as a model that provides a superior fit to commonly preferred SAD models. It has also been argued that the model's single parameter (α) presents a potentially informative ecological diversity metric, because it summarises the shape of the SAD in a single number. Despite this potential, few empirical tests of the model have been undertaken, perhaps because the necessary methods and software for fitting the model have not existed. Here, we derive a maximum likelihood method to fit the model, and use it to undertake a comprehensive comparative analysis of the fit of the gambin model. The functions and computational code to fit the model are incorporated in a newly developed free-to-download R package (gambin). We test the gambin model using a variety of datasets and compare the fit of the gambin model to fits obtained using the Poisson lognormal, logseries and zero-sum multinomial distributions. We found that gambin almost universally provided a better fit to the data and that the fit was consistent for a variety of sample grain sizes. We demonstrate how α can be used to differentiate intelligibly between community structures of Azorean arthropods sampled in different land use types. We conclude that gambin presents a flexible model capable of fitting a wide variety of observed SAD data, while providing a useful index of SAD form in its single fitted parameter. As such, gambin has wide potential applicability in the study of SADs, and ecology more generally.
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The hoverfly fauna of the Azores currently comprises 23 species (Smit 2010), but the current state of knowledge concerning these species differs for each island. In the year 1938, R. Frey and R. Storå recorded the first seven hoverfly species on Pico Island (Frey 1945), and these very same ones were still mentioned by Rojo et al. (1997). Smit (2010) added one more species to this list (Table 1). In the summer of 2014, the author of this article sampled hoverflies on Pico Island in several habitats. In this paper, the results will be presented.
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3rd SMTDA Conference Proceedings, 11-14 June 2014, Lisbon Portugal.
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3rd SMTDA Conference Proceedings, 11-14 June 2014, Lisbon Portugal.
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This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.