ABSTRACT: For many sessile subtidal and intertidal organisms, the connection between isolated adult populations occurs through oceanic dispersal of the larval stage. We define the ‘temporal kernel’ as the normalised frequency histogram of oceanic dispersal times between otherwise isolated populations, and suggest minimum dispersal times are best defined in terms of a percentile of the temporal kernel. Under certain assumptions, larval dispersal in the ocean can be treated as Gaussian-distributed random-walk motion in the presence of a mean flow. If this is so, the dispersal time is analogous to the ‘first-passage time’ as described by Schrödinger (1915: Phys Z 16:289–295), and the temporal kernels are described by the inverse Gaussian function. Here, solutions for the temporal kernel are derived for such a model. The solutions for the percentiles of the temporal kernel are exact, but solutions for mean and standard deviation values exist only in the limit of large island separation. The exact and approximate solutions are compared for random walks representative of realistic oceans, and the sensitivity of the temporal kernel to uncertainty in the eddy diffusivity is evaluated.
KEY WORDS: Larval dispersal · Connectivity · Modelling · Dispersal times
Full text in pdf format Supplementary material | Cite this article as: Chiswell SM
(2011) Temporal kernels of larval connectivity: a generalised random-walk approach. Aquat Biol 12:205-214. https://doi.org/10.3354/ab00331 Export citation Share: Facebook - - linkedIn |
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