A
André M. de Roos
Researcher at University of Amsterdam
Publications - 120
Citations - 6694
André M. de Roos is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Population & Predation. The author has an hindex of 40, co-authored 119 publications receiving 6202 citations. Previous affiliations of André M. de Roos include Norwegian College of Fishery Science & École Normale Supérieure.
Papers
More filters
Journal ArticleDOI
Direct experimental evidence for alternative stable states: a review
TL;DR: It is argued, that even for a permanently transient system, alternative attractors may still be of relevance, under consideration of the observed laboratory bias, perturbation frequency and variable environments.
Journal ArticleDOI
Dwarfs and Giants: Cannibalism and Competition in Size-Structured Populations.
TL;DR: It is argued that the induction of cannibalistic giants in piscivorous fish is a population‐dynamic emergent phenomenon that requires a combination of size‐dependent cannibalism and competition.
Journal ArticleDOI
Terrestrial carbon and intraspecific size-variation shape lake ecosystems
TL;DR: Assessment of key aspects of energy mobilization and size-structured community dynamics are assessed, and how these processes are intertwined in pelagic food webs is shown.
Journal ArticleDOI
Synchronous and Asynchronous Updating in Cellular Automata
TL;DR: The properties of a synchronous and of various asynchronous methods to iterate cellular automata, including a time-driven method in which the state transitions of single cells are governed by a probability per unit time that determines an exponential distribution of the waiting time until the next transition.
Journal ArticleDOI
The influence of size‐dependent life‐history traits on the structure and dynamics of populations and communities
TL;DR: This work synthesizes recent insight into the relationship between size dependence in individual life history and population dynamics and conjecture that especially this population feedback on individual development may lead to new theoretical insight compared to theory based on unstructured or age-dependent models.