Publication

Modelling the effect of size on the aerial dispersal of microorganisms

Isabelle Bey, Symeon Koumoutsaris
2012
Journal Articles

Abstract

Aim We investigate the long-standing question of whether the small size of microbes allows most microbial species to colonize all suitable sites around the globe or whether their ranges are limited by opportunities for dispersal. In this study we use a modelling approach to investigate the effect of size on the probability of between-continent dispersal using virtual microorganisms in a global model of the Earths atmosphere.

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https://infoscience.epfl.ch/entities/publication/d7d23b81-1ebb-4b2a-a307-cd41e2e147f2

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Isabelle Bey, Symeon Koumoutsaris
2012
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/d7d23b81-1ebb-4b2a-a307-cd41e2e147f2

About this result

Related concepts (32)

Probability

Probability is the branch of mathematics concerning numerical descriptions of how likely an event is to occur, or how likely it is that a proposition is true. The probability of an event is a number between 0 and 1, where, roughly speaking, 0 indicates impossibility of the event and 1 indicates certainty. The higher the probability of an event, the more likely it is that the event will occur. A simple example is the tossing of a fair (unbiased) coin.

Probability theory

Probability theory or probability calculus is the branch of mathematics concerned with probability. Although there are several different probability interpretations, probability theory treats the concept in a rigorous mathematical manner by expressing it through a set of axioms. Typically these axioms formalise probability in terms of a probability space, which assigns a measure taking values between 0 and 1, termed the probability measure, to a set of outcomes called the sample space.

Probability distribution

In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of different possible outcomes for an experiment. It is a mathematical description of a random phenomenon in terms of its sample space and the probabilities of events (subsets of the sample space). For instance, if X is used to denote the outcome of a coin toss ("the experiment"), then the probability distribution of X would take the value 0.5 (1 in 2 or 1/2) for X = heads, and 0.

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