http://hdl.handle.net/10256/20767 2025-05-12T22:53:29Z http://hdl.handle.net/10256/13663 Compositional analysis of correlation of weather parameters with russet of ’Golden Delicious’ apples Barceló i Vidal, Carles; Bonany, J.; Carbó, J. The development of russet on ’Golden Delicious’ apples is a problem of concern to growers of fresh market apples. Russeting is considered to be due to untimely divisions of cells in the epidermis of the fruit initiated by environmental or cultural conditions. The etiology of nonculturally induced russet is intimately associated with the presence of water on the surface of the fruit. The initiation of russet clearly occurs during the first 30 days of fruit development, and is frequently visible at the end of that period. Creasy (1980) concluded that high relative humidity was positively correlated with the degree of incidence of russeting, especially 16-25 days after full bloom of apple trees. This study was conducted to establish the correlation between weather parameters and the incidence of russeting on apples We have recorded the incidence rates of russeting on ’Golden Delicious’ grown in ’Mas Badia’ field station (La Tallada, Girona), from 1986 to 2002. Each year a sample of apples was picked at random. Each fruit was evaluated for the percent of surface area covered with russet which was categorized into five ordinal categories. In this way we have the percentage of each russeting-category for each year. Simultaneously we have the annual meteorological data recorded hourly at the meteorological station of ’Mas Badia’. From this information we will use CODA to analyze the correlation between the annual percentages of russeting in apples and the humidity and rainfall recorded during the 30 days after full bloom of apple trees in the corresponding year 2011-05-13T00:00:00Z http://hdl.handle.net/10256/13654 Examining Indices of Individual-level Resource Specialization Martín Fernández, Josep Antoni; Pierotti, Michele E. R.; Barceló i Vidal, Carles The variety of resources that a population exploits is known as the “niche width”. A particular population has a narrow niche if only few kinds of the available resources are exploited by its members. When the individuals of a population exploit many different resources, then the population has a wide niche. From this point of view it seems that the niche is a property of the population as a whole. However, it is well known that many apparently generalist populations are in fact composed of individual specialists, that is, members that use only small subsets of the population’s niche. This approach justifies the definition of indices to measure the individual-level resource specialization. Although this kind of analysis could be applied to any niche variation: oviposition sites, habitat, etc., we focus the discussion in terms of analysis of diet data. So as to measure species niche breadth a comparison between the frequency distribution of the species’ resource use with that of all available resources is carried out. When a measure of individual specialization is considered, then one should compare the population’s total diet with the individual use. In particular, the total niche width of a population should be compared with its two components: within and between-individual variation. In this sense, in the literature several indices of intrapopulation niche variation are proposed. Our goal is to describe, compare and evaluate four of the most relevant indices applied in ecology. In this work we point out how these techniques could be developed in a compositional framework, particularly when these indices are applied to discrete diet data [e.g. frequency of different prey specimen in the diet] 2011-05-13T00:00:00Z http://hdl.handle.net/10256/13653 Analysis of Fossil Planktonic Foraminifera: The Sieve Mesh Effect Di Donato, Valentino; Martín Fernández, Josep Antoni; Daunis-i-Estadella, Pepus; Esposito, Paola The choice of the sediment size fraction in the analysis of fossil planktonic foraminifera is of great importance in determining the composition of assemblages. In past studies several size fractions have been utilised. Imbrie and Kipp (1971) stated that “smaller fractions give rise to too many uncertainties in the identification of small specimens and require too long to process. Large mesh size yield undesiderable loss of small species, and small specimens of larger species”. The adoption of coarser sieve meshes has the effect to reduce the percentages of small sized (usually living in cold waters) species (Bé and Hutson, 1977). In a comparison between >63 μm and >150 μm size-fraction of planktonic foraminifera assemblages from NW Atlantic Ocean, Smart (2002), stated that because particular smaller species are either under-represented or even absent from the larger (>150 μm) size-fraction, the smaller (>63 μm) size-fraction must be included in studies of planktonic foraminifera. Di Donato et al. (2008) highlighted in the >150 μm size fraction of a core from the Tyrrhenian Sea, a great loss of the small-sized species Turborotalita quinqueloba in glacial samples, where this species is very abundant. This caused an increase in warm water species such as Globigerinoides ruber, apparently reaching typical Holocene values in some full glacial levels. From the above mentioned statements, it is clear that treatment changes can strongly influence the results of palaeoclimatic reconstructions based on planktonic foraminiferal assemblages. As stated by Aitchison (1986, 1992) scale invariance and subcompositional coherence are fundamental properties of the compositional data analysis (CODA). The main goal of this paper is to verify if the variable relationships pointing out from CODA of foraminiferal assemblages are or not influenced by the size fraction and, more in general, to test the robustness of CODA respect to treatment changes related to different preparation techniques for the analysis of planktonic foraminifera 2011-05-13T00:00:00Z http://hdl.handle.net/10256/13645 CoDaPack 2.0: a stand-alone, Multi-platform Compositional Software Comas Cufí, Marc; Thió i Fernández de Henestrosa, Santiago Historically CoDaPack 3D has intended to be a software of Compositional Data with an easy and intuitive way of use. For this reason from the beginning it has been associated to Excel, a software known and used for many people. However, over the years different versions of Excel and Windows have been appeared and CoDaPack has had to be adapted to these new versions due to some incompatibilities. For this reason, and also because of CoDaPack only works with Excel under windows, the Girona Compositional Data Group has decided to implement a new software with at least the same capabilities and the same profile of users but independent of any other software. The graphical user interface has three different areas: The variables area, the data area and the results area which has a textual output window and independent graphical output. Also, because the new CoDaPack is being developed under Java code, the final software is going to work in any platform having a Java Virtual Machine: Windows, Linux and other Unix based systems 2011-05-12T00:00:00Z