In this paper, we develop a theory of bet-hedging for populations colonizing new, unknown environments that fluctuate either in space or time. In this case, we find that bet-hedging is a more favorable strategy than in well-mixed populations. For slow rates of variation, temporal and spatial fluctuations lead to different outcomes. In spatially fluctuating environments, bet-hedging is favored compared to temporally fluctuating environments. In the limit of frequent environmental variation In this paper, we develop a theory of bet-hedging for populations colonizing new, unknown environments that fluctuate either in space or time. In this case, we find that bet-hedging is a more favorable strategy than in well-mixed populations. For slow rates of variation, temporal and spatial fluctuations lead to different outcomes. In spatially fluctuating environments, bet-hedging is favored compared to temporally fluctuating environments. In the limit of frequent environmental variation Ecological species can spread their extinction risks in uncertain environments by adopting a bet hedging strategy, i.e. by diversifying individual phenotypes. We present a theory of bet-hedging for populations colonizing unknown environments that fluctuate either in space or time. We find that diversification is more favorable strategy in this scenario than for well-mixed populations by Paula Villa Mart ín, Miguel A. Muñoz, Simone Pigolotti In ecology, species can mitigate their extinction risks in uncertain environments by diversifying individual phenotypes. This observation is quantified by the theory of bet-hedging, which provides a reason for the degree of phenotypic diversity observed even in clonal populations. Bet-hedging in w ell-mixed populations is rat... Bet-hedging in well-mixed populations is rather well understood. However, many species underwent range expansions during their evolutionary history, and the importance of phenotypic diversity in such scenarios still needs to be understood. In this paper, we develop a theory of bet-hedging for populations colonizing new, unknown environments that fluctuate either in space or time. In this case In well-mixed systems, bet-hedging optimal strategies appear when the model includes at least one of the following ingredients: a) discrete generations, as in the seminal work of Kelly , b) finite switching rates among strategies [33, 59], or c) a delta-correlated environment . Any of these ingredients can lead to nonlinearities in the average exponential growth rate, therefore opening the way for a non-trivial optimal strategy. The theory of bet-hedging in well-mixed populations is rather well developed. However, many species underwent range expansions during their evolutionary history, and the importance of phenotypic diversity in such scenarios still needs to be understood. In this paper, we develop a theory of bet-hedging for populations colonizing new, unknown environments that fluctuate either in space or time Title: Bet-hedging strategies in expanding populations. Authors: Paula Villa Martín, Miguel A. Muñoz, Simone Pigolotti (Submitted on 2 Oct 2018) Abstract: In ecology, species can mitigate their extinction risks in uncertain environments by diversifying individual phenotypes. This observation is quantified by the theory of bet-hedging, which provides a reason for the degree of phenotypic In this paper, we develop a theory of bet-hedging for populations colonizing new, unknown environments that fluctuate either in space or time. In this case, we find that bet-hedging is a more favorable strategy than in well-mixed populations. For slow rates of variation, temporal and spatial fluctuations lead to different outcomes. In spatially fluctuating environments, bet-hedging is favored compared to temporally fluctuating environments. In the limit of frequent environmental PDF | In ecology, species can mitigate their extinction risks in uncertain environments by diversifying individual phenotypes. This observation is... | Find, read and cite all the research you
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Title Frontiers of Complex Systems Science: Soft Matter, Biophysics, and Statistical Physics Start Date 2020-02-03 09:00:00 End Date 2020-02-04 18:00:00 Plac... The next video is starting stop. Loading... Watch Queue Title Frontiers of Complex Systems Science: Soft Matter, Biophysics, and Statistical PhysicsStart Date 2020-02-03 09:00:00End Date 2020-02-04 18:00...
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