modeling larval connectivity for the socal bight satoshi mitarai, james watson & david siegel

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Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel Institute for Computational Earth System Science University of California, Santa Barbara Changming Dong & James McWilliams Institute of Geophysical and Planetary Physics University of California, Los Angeles QuickTime™ decompre are needed t

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Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel Institute for Computational Earth System Science University of California, Santa Barbara Changming Dong & James McWilliams Institute of Geophysical and Planetary Physics - PowerPoint PPT Presentation

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Page 1: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Modeling Larval Connectivity for the SoCal Bight

Satoshi Mitarai, James Watson & David Siegel

Institute for Computational Earth System Science

University of California, Santa Barbara

Changming Dong & James McWilliams

Institute of Geophysical and Planetary PhysicsUniversity of California, Los Angeles

QuickTime™ and a decompressorare needed to see this picture.

Page 2: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Why Larval Connectivity?• Some places are better fishing than others

– Habitat type & quality, oceanographic connection to other

sites, humankind history, etc.

• Larval connectivity measures the probability that

sites are connected for a given species

– Measures larval source / sink characteristics

– Required for spatial demographic stock models

– Provides scales of connectivity for MPA network design

Page 3: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Why Model Larval Connectivity?

• Knowledge of how larvae are transported

from one site to any other on all time scales

• Need continuous descriptions of velocity on

time scales from hours to decades

• Data sets are just getting to this point

• Models naturally integrate over all scales

Page 4: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

December 14, 2008

HF Radar Current Observations

HF radar surface currents

0.5 to 6.5 km resolution

coverage is getting better

www.sccoos.org/data/hfrnet/

December 14, 2007

December 14, 2006

QuickTime™ and a decompressorare needed to see this picture.

Page 5: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Talk Outline

• Introduce the circulation model (ROMS)

configuration & its fidelity to observations

• Determine dispersal patterns for the SoCal

Bight using Lagrangian techniques

• Assess patterns of potential & realized

larval connectivity for SoCal Bight

Page 6: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Regional Ocean Modeling System (ROMS)(www.myroms.org)

One-way nested grids(~20km ~6.7km 1km)

Surface Forcing from NARR obs (MM5 18km, 6km, 2 km)

Open Boundary Forcings from obs (SODA, monthly updates)

Initialized with climatology

Integration from 1996 to 2003

Integration to present in progress

20km

6.7km

1 km

Dong & McWilliams CSR (2007)

Model Configuration

Page 7: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Pacific Ocean Los Angeles

Model Domain

Dong & McWilliams CSR (2007)

Page 8: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel
Page 9: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

QuickTime™ and a decompressor

are needed to see this picture.

Page 10: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Dong et al. [in review]

Page 11: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Dong et al. [in review]

Page 12: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Dong et al. (in review)

Page 13: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel
Page 14: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Dong et al. (in review)

Comparison to ADCP Current Profiles

Profiles from SBC

Red observationsBlue model

Dashes show stdev

Mean currents are wellmodeled

Envelope shows variability is also wellmodeled

Page 15: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Topex/Jason - satellite sea level observations

Interannual Variations of Sea Level

Dong et al. (in review)

Page 16: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Dong et al. (in review)

Sea level (m

)

Page 17: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Dong & McWilliams (2007)

Eddy Variability

anticyclonic

cyclonic

Pattern is highly dynamic & contains most of the KE

Page 18: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Dong et al. (in review)

Sea level (m

)

Page 19: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Modeling of SoCal Bight Circulation

• Good fidelity of mean, seasonal & inter-annual circulation patterns

• Mean & fluctuating velocity profiles are also well modeled– Currents are fairly uniform with depth

• Eddy driven circulation is large

• Can be better… but it is best available data for the circulation of the SoCal Bight

Page 20: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Connectivity Domain

Work to follow from Mitarai et al (in review - JGR) & Watson et al (in prep)

Page 21: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Red dots: locations after 30 days

Example 30 Day Trajectories

Surface following…

Page 22: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

[ km ]-2

Dispersal from San Nicolas

millions of water parcel releases

Page 23: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Dispersal from Other Sites

Advection time = 30 days

[ km ]-2

Page 24: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Advection time = 30 days

Seasonal Variability

Page 25: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Advection time = 30 days

Interannual Variability

Page 26: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Dispersal in the SoCal Bight

• Surface water parcels spread out throughout

the Bight within 60 days

• Strong position-dependence

Poleward transport along mainland

Retention in SB Channel & around San Clemente Island

• Strong seasonal & interannual variability

Mitarai, Siegel, Watson, Dong & McWilliams (in review)

Page 27: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Quantifying Connectivity

135 x 135 source-to-destination matrix (connectivity matrix)

Repeat for all source sites

Larval life history is now included (PLD, spawning period, etc.)

Quantifies probability of larval transport from site to site

Assumes all sites have equal larval production

potential connectivity

Watson, Mitarai, Caselle, Siegel, Dong & McWilliams (in prep)

Page 28: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Kelp Bass Potential Connectivity

PLD = 25 – 33 d, Spawning = Apr – Nov

Connectivity is heterogeneous & asymmetric

Strong transport from mainland to islands

Page 29: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Assumes uniform larval production PLD = 25-33 d; Spawning from Apr to Nov

Good Sources: Long Beach, Santa Monica, Ventura

Good Destinations: Chinese Harbor, Avalon

Kelp Bass Source / Destination Strength

Page 30: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

PLD = 3 – 12 days, all year around PLD = 60 – 120 days, Jan – May

The Larval Time Course Matters

Watson et al (in prep)

Page 31: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Kelp Bass Realized Connectivity

• Account for non-uniform larval production

• Kelp bass egg prod from CRANE obs

Watson et al (in prep)

Mainland North South(S to N) Islands Islands

Destination Site

Sou

rce

Site

Mai

nlan

d

N

orth

S

outh

(S to

N)

Isl

ands

Isla

nds

Page 32: Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel

Larval Connectivity in the SoCal Bight

• Connectivity is heterogeneous & asymmetric

• Mainland sites are good sources while islands are

poor potential sources

• Nearby islands are often good destinations

• Potential connectivity patterns differ for different

larval time histories

• Realized connectivity patterns differ due to

differences in larval production