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Sathicq, M. B.

Publications and source records attributed to Sathicq, M. B..

2 recordsLinked to original sources

DiaThor: R package for computing diatom metrics and biotic indices

O_LIDiatoms are widely used to detect changes in water quality due to their specific sensibility to a variety of environmental conditions. Among the different diatom-based tools to measure water quality, the biotic indices, ecological and morphological traits are the most commonly used. C_LIO_LIDiaThor, contains 18 functions that provide morphological data of the samples (number and shape of chloroplasts, total biovolume), ecological data (species richness, evenness, diversity, size classes, ecological guilds, ecological preferences) and biotic indices (Descy Index, EPID Index, Indice Diatomique Artois-Picardie, Swiss Diatom Index, Pampean Diatom Index, ILM index, Specific Pollution sensitivity Index, Lobo Index, Sladecek index, SPEARherbicides index and the Trophic index). A web application (in Shiny) was also developed to provide access to the package for those users not familiar with the R environment. C_LIO_LIThe structure of the package, how it functions and the structure of the input and output data are explained. To demonstrate the most common use of DiaThor, an example of the package performance is also provided. C_LIO_LIThe DiaThor package aims to contribute to the water quality assessment based on diatom assemblages, while also providing researchers with an open platform to suggest new statistics and functionalities to be integrated into future builds. C_LI

ecology↗

OPTIMOS PRIME: An R package for autoecological (optima and tolerance range) data calculation

O_LICalculation of autoecological data, such as optima and tolerance ranges to environmental variables, can be useful to establish the distribution and abundance of the species. These calculations, although mathematically not complex, can be prone to error when using a large database.\nC_LIO_LIWe present an R package (\"optimos.prime\") that uses species abundance data and environmental data to calculate the optimum value and tolerance range of each species to each environmental factor, by weighted average. Additionally, the package can create caterpillar plots to show the results.\nC_LIO_LIUsing sample data from a phytoplankton database, we exemplify the use of the R package and its functions. A stand-alone version for Windows is also provided, and source code and documents are freely available on GitHub to encourage collaborative work.\nC_LI

ecology↗