| General research interests | Summary of doctoral research | Summary of master's research |
Over the next five years I hope to investigate food web
dynamics associated with complex topographies in the ocean (e.g. features
such as reefs, sills, archipelagos, canyons). I would like to understand
how fluid flows affect biological productivity and the foraging behavior
of predators. In particular, I see four broad categories of techniques
that will be relevant to this research:
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Fig 1. Water mass and biological structure associated with a sill in Cattle Pass, San Juan Channel. To the right, water is stratified (two-layers with different water properties); to the left, water is well-mixed from top to bottom. |
Ultimately, the goal of this work
would be to answer the following types of questions:
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| Recent advances in oceanographic instrumentation are leading to a better understanding of the structure of current flows over complex topographies. However, the biological consequences of these flow features are not well known. Several studies suggest tidal currents interacting with small-scale topographic relief may create spatially or temporally predictable increases in plankton density which are important to plankton predators1. | Fig 2. Study site in the San Juan Islands, Washington. The 'x' marks indicate zooplankton sampling stations. Flooding tides run from south to north; ebbing tides run from north to south. The Pacific Ocean lies at the western opening of Juan de Fuca. |
My dissertation tests the hypothesis that tidal currents
control energy flow to planktivorous consumers and top predators by creating
predictable spatial and temporal patterns in plankton distributions. The
objectives of this study were to determine whether or not
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| The fish aggregations in turn attracted abundant
seabirds (the most common summer birds being rhinoceros auklets, Cerorhinca
monocerata; common murres, Uria aalge; pelagic cormorants, Phalacrocorax
pelagicus; glaucous-winged gulls, Larus glauscesens; Heerman's
gulls, Larus heermani) seals (harbor seals, Phoca vitulina),
and other fish predators (salmon species, Oncorhynchus spp.; spiny
dogfish, Squalus acanthias) to feed in the same areas. In contrast,
significantly less feeding activity was found on the outgoing tide. The
patterns in plankton distributions, fish distributions, and feeding behavior
are consistent within and among three years of study. The end result is
energy seems to be "pumped" into the community during the incoming tide.
Conversion of numerical plankton densities to biomass estimates showed that advected secondary production available to consumers could be of a similar order of magnitude as in situ primary production. Tidal advection of plankton from Juan de Fuca therefore plays a significant role in structuring fish distribution and behavior, as well as in controlling energy flow to top predators. The energy subsidy brought in by the tides may explain why the San Juan and Gulf Islands, and other geographic regions with similar interactions between tidal currents and physical complexity in topography, are able to support large, diverse populations of marine life. This work also highlights the importance of small-scale flows to individual foraging behavior. |
Fig 4. Feeding flock in San Juan Channel. The gulls are tracking a school of fish which has been trapped against the surface by diving rhinoceros auklets2 (below) and murres.
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| 1For example, Alldredge and Hamner
(1980). Recurring aggregation of zooplankton by a tidal current. Estuarine
and Coastal Marine Science 10:31-37; Bray (1981). Influence of water
currents and zooplankton densities on daily foraging movements of blacksmith,
Chromis
punctipinnis, a planktivorous reef fish. Fishery Bulletin 78(4): 829-841;Braune
and Gaskin (1982). Feeding ecology of nonbreeding larid populations
off Deer Island, New Brunswick. Auk 99:67-76; Wolanski and Hamner
(1988). Topographically controlled fronts in the ocean and their biological
influence. Science 241: 177-181
2Auklet photo courtesy of Cornell Laboratory of Ornithology slide collection. |
Fig. 1. Acoustic image of a 1852 x 1852 x 100 m volume of ocean. Krill density is represented in a color scale from black (zero) to red (over 150 krill m3); penguin location and abundance (2-20 individuals) is indicated with white peaks. The bottom panel represents a 180-degree rotation of the top image. |
As a master's student at Cornell University, I learned how to apply basic hydroacoustic techniques to questions about the foraging behavior of marine predators. My thesis examined three-dimensional structure in Antarctic krill (Euphausia superba) aggregations, and the implications of that structure for krill availability to chinstrap penguins (Pygoscelis antarctica). Results showed significant depth differences in the degree of krill aggregation, with krill less aggregated in deeper layers than shallow layers. Surface distributions of penguins were associated with the edges of krill aggregations. There was a statistically significant association of the penguin distribution with krill in the depth layer that coincided with mean penguin dive depths. This work illustrated the importance of considering all three dimensions of variation in prey density to diving predators - when prey biomass is integrated over the whole water column, edge effects and depth-dependent associations are masked. The tendency for predators to aggregate over the edges of aggregations may also explain why many studies have not found signficant correlations between marine predators and highest prey densities. |
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