Spatial connectivity of Pacific insular species : insights from modeling and tagging
- Publication Type:
- Thesis
- Issue Date:
- 2008
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Animal movement was quantitatively investigated with computer simulation modelling
and the analysis of animal-borne tagging data. Larval transport was simulated using
advection-diffusion models driven by a variety of current fields. Seasonal, interannual,
and spatial correlates of larval transport and retention were explored, as well as the
effect of pelagic larval duration (PLD), using generalized additive modeling (GAM)
analyses. Diel vertical migration (DVM) was simulated using layered current fields,
and the effect on horizontal transport was examined over a range of PLDs, spawning
locations, and spawning times. DVM was found to robustly facilitate natal retention in
the simulations, using GAM analyses. Biogeographic transport routes linking Johnston
Atoll and the Hawaiian Archipelago were elucidated using high-resolution current data
and advection-diffusion models. The hypothesized transport routes were consistent with
existing field survey data and genetic analyses. This connectivity has implications for
both population maintenance and biogeographic affinities. Archipelagic connectivity
was determined for all pairs of geographic strata in the region, and a simple
metapopulation model was developed which was driven by the modeled linkages.
Additionally, the flow fields used for the Johnston Atoll analysis and the archipelagic
connectivity analysis were ground truthed with a drifter buoy database and found to be
in good agreement. Conventional tags deployed on a deepwater snapper were examined
to determine adult movement dynamics. Comparison to a simple model of swimming
behavior suggested that biphasic swimming may be the characteristic swimming pattern
for this species. Electronic tags deployed on sea turtles were used to characterize
pelagic habitat in the North Pacific, using a suite of oceanographic and environmental
data merged to the satellite tracks. Most of the analyses involved examination of a
variety of remotely-sensed, modeled, or surveyed environmental data.
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