Simulating Larval Dispersal in the Santa Barbara Channel James R. Watson 1, David A. Siegel 1,...
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Simulating Larval Dispersal in the Santa Barbara Channel James R. Watson 1, David A. Siegel 1, Satoshi Mitarai 1, Lie-Yauw Oey 2, Changming Dong 3 1 Institute
Simulating Larval Dispersal in the Santa Barbara Channel James
R. Watson 1, David A. Siegel 1, Satoshi Mitarai 1, Lie-Yauw Oey 2,
Changming Dong 3 1 Institute for Computational Earth System Science
University of California, Santa Barbara, 2 Atmospheric and Oceanic
Science Program, Princeton University, 3 Insitute of Geophysical
and Planetary Physics, University of California, Los Angeles This
is Important because For any patch I can tell you where those
particles that settled in it originated from and for those
particles that came from it I can tell you where they went. For
example What does this all mean Where to and Where from: Patches
Future Directions IMPORTANT I have simulated the dispersal of only
water packets that have the potential to have larvae within. For
actual larvae I need to add BIOTIC factors - simple demographics. I
need to make ensemble runs in order to gain a statistical
understanding of random or PERSISTENT larval settlement.
Settlement: Within the settlement competency window of Kelp Bass
(day 26 to 36) I count which patches particles travel to. This
creates a SOURCE DESTINATION relationship. We need to know where
fish larvae come from and where fish larvae go. We need to know the
mechanism of dispersal. We need to know source and sink locations.
Knowing the spatial dynamics of populations will improve nearshore
fisheries management and the design of Marine Protected Areas.
Patches are defined as sites of POTENTIAL HABITAT for fish stocks.
Spawning period: Particles are seeded uniformly throughout these
patches. They are released every day for the period 1 st May to 1
st October. The connectivity matrix K ij : South Side North Side
Mainland North Side South Side The scale is log count normalized by
area Patches whose particles WENT TO Santa Catalina Island Numbers
to and from Santa Catalina Island 1995 Normal Year: 1997 El Nino
Year: (The white island) Patches whose particles CAME FROM Santa
Catalina Island Destination How to do it: Velocity Field Y t+1 = Y
t + (V t * dt) 2D (surface only) velocities. Generated from an
assimilation model from Lie-Yauw Oey and Charles Dong (Oey L,
2004). 5km resolution, daily for the period 2 nd January 1993 to 28
th December 1999. Simulate Larval Dispersal Particles represent
larvae as passive water following parcels advected within our
velocity field. 150,000 particles released over the entire
integration period. The advection scheme is as follows: X t+1 = X t
+ (U t * dt) Source South Side North Side Mainland North Side South
Side 1995 1997 A difference between years? Between climate regimes?
Source and Destination Strength: 1997 Over the entire model period
I can order the patches according to who was the best source of
settled particles and who was the best destination for settling
particles. Which patches were the best sources Which patches were
the best destinations km Because the patches are irregularly shaped
I have to normalize by area: Acknowledgments Bob Warner, Steve
Gaines, Bruce Kendall, Chris Costello, Heather Berkley Brian
Kinlan, Tim Chaffey, Chantal Swan, Mike Robinson Reference: Oey
L-Y, Winant C, Dever D,Johnson W, Wang D-P. JPO (2004), 23-43
Source (j) Destination (i) Number of particles in competency window
(N ij ) Numbering 1:23 - Mainland 24:35 - North shore Islands 36:47
- South shore Islands 48 - Santa Barbara Island 49 - Santa Catalina
Island