1984
DOI: 10.1515/9781400820023
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Random Walks in Biology

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Cited by 455 publications
(663 citation statements)
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“…where ∆x is a change in distance and ∆t is a time step of duration t. In general, diffusivity can be derived from a random walk (Skellam 1951, Okubo and Levin 2001, Ovaskainen and Crone 2009). The 'random walk' has been derived previously (Berg 1993). A Levy walk, which is a probability distribution with a heavy tail, is another possible way to model this process (Nathan andMuller-Landau 2000, Levin et al 2003) for other potential animal seed distribution functions.…”
Section: Estimate Of Dmentioning
confidence: 99%
“…where ∆x is a change in distance and ∆t is a time step of duration t. In general, diffusivity can be derived from a random walk (Skellam 1951, Okubo and Levin 2001, Ovaskainen and Crone 2009). The 'random walk' has been derived previously (Berg 1993). A Levy walk, which is a probability distribution with a heavy tail, is another possible way to model this process (Nathan andMuller-Landau 2000, Levin et al 2003) for other potential animal seed distribution functions.…”
Section: Estimate Of Dmentioning
confidence: 99%
“…This approach is similar to one used in the classic work of Denny and Shibata (1989), but generalizes it and corrects a subtle bias. In essence, the model tracks the time to contact the bottom for propagules taking numerous, short, randomly directed steps either up or down (i.e., a ''random walk''; see Berg 1983), when released from a given height. The probability of stepping to a new vertical position is a function of the degree of mixing which varies with elevation in the water column.…”
Section: The Calculation Of Hitting Timesmentioning
confidence: 99%
“…Using the techniques of Kareiva ( 1983), the observed recapturewith-distance curve (for first-day recaptures only, since so few butterflies were captured on days 2-5) was much more leptokurtic than would be expected under passive diffusion in a homogeneous environment (Kolmogorov-Smirnov D = 0.348, n = 56, P < .01). However, a leptokurtic curve is to be expected when the target, in this case the habitat patch, is absorbing (Berg 1983). Thus, a diffusion model modified by the inclusion of an appropriate "settling" term might better fit the data.…”
Section: Out-of-habitat Release Experimentsmentioning
confidence: 99%