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Tamara Münkemüller

Researcher at University of Savoy

Publications -  71
Citations -  11226

Tamara Münkemüller is an academic researcher from University of Savoy. The author has contributed to research in topics: Population & Biological dispersal. The author has an hindex of 30, co-authored 62 publications receiving 8615 citations. Previous affiliations of Tamara Münkemüller include Centre national de la recherche scientifique & ETH Zurich.

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Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

TL;DR: It was found that methods specifically designed for collinearity, such as latent variable methods and tree based models, did not outperform the traditional GLM and threshold-based pre-selection and the value of GLM in combination with penalised methods and thresholds when omitted variables are considered in the final interpretation.
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How to measure and test phylogenetic signal

TL;DR: Phylogenetic signal is the tendency of related species to resemble each other more than species drawn at random from the same tree and various indices have been proposed for quantifying it.
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Ecophylogenetics: advances and perspectives.

TL;DR: It is suggested that despite the strong progress that has been made, a consistent unified framework is still missing to link local ecological dynamics to macroevolution, and this is a necessary step in order to interpret observed phylogenetic patterns in a wider ecological context.
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Predicting potential distributions of invasive species: where to go from here?

TL;DR: Hybrid modelling is presented as an approach to bridge the gap and to integrate the advantages of both research directions in modelling the potential distributions of invasive species.
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The virtual ecologist approach: simulating data and observers

TL;DR: The VE approach is an intuitive and powerful evaluation framework that allows a quality assessment of sampling protocols, analyses and modelling tools and could foster the integration of theoretical and empirical work and stimulate work that goes far beyond sampling methods, leading to new questions, theories, and better mechanistic understanding of ecological systems.