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Andrea Giometto
Researcher at Harvard University
Publications - 34
Citations - 1003
Andrea Giometto is an academic researcher from Harvard University. The author has contributed to research in topics: Population & Spatial heterogeneity. The author has an hindex of 14, co-authored 31 publications receiving 818 citations. Previous affiliations of Andrea Giometto include University of Padua & École Polytechnique.
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Big answers from small worlds: A user's guide for protist microcosms as a model system in ecology and evolution
Florian Altermatt,Florian Altermatt,Emanuel A. Fronhofer,Aurélie Garnier,Andrea Giometto,Andrea Giometto,Frederik Hammes,Jan Klecka,Delphine Legrand,Elvira Mächler,Thomas M. Massie,Frank Pennekamp,Marco Plebani,Mikael Pontarp,Nicolas Schtickzelle,Virginie Thuillier,Owen L. Petchey,Owen L. Petchey +17 more
TL;DR: A synthesis and standardization of methods will overcome shortcomings and challenges faced by past studies and also promote activities such as meta-analyses and distributed experiments conducted simultaneously across many different laboratories at a global scale.
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Complex interaction of dendritic connectivity and hierarchical patch size on biodiversity in river-like landscapes.
TL;DR: This work experimentally disentangled the effect of local habitat capacity and dendritic connectivity on biodiversity in aquatic microcosm metacommunities by suitably arranging patch sizes within river-like networks and found that more connected communities that occupy a central position in the network exhibited higher species richness, irrespective of patch size arrangement.
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Scaling body size fluctuations
Andrea Giometto,Florian Altermatt,Francesco Carrara,Amos Maritan,Andrea Rinaldo,Andrea Rinaldo +5 more
TL;DR: It is shown experimentally that single-species mass distributions of unicellular eukaryotes covering different phyla exhibit both characteristic sizes and universal features over more than four orders of magnitude in mass.
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Inferring species interactions in ecological communities: a comparison of methods at different levels of complexity
Francesco Carrara,Francesco Carrara,Andrea Giometto,Andrea Giometto,Mathew Seymour,Andrea Rinaldo,Andrea Rinaldo,Florian Altermatt,Florian Altermatt +8 more
TL;DR: In this article, the authors compared four methods to measure and express species interactions and compared their advantages and limitations to predict multispecies community dynamics and ecosystem functioning, including an extinction-based model, a relative yield model and two generalized Lotka-Volterra (LV) models.
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Emerging predictable features of replicated biological invasion fronts
TL;DR: Predictability of the key features of biological dispersal overcomes the inherent biological stochasticity and may be generalized, possibly providing a general predictive framework for biological invasions in natural environments.