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Matthew Breece, Matt Oliver, Danielle Haulsee University of Delaware Dewayne Fox, Lori Brown PowerPoint PPT Presentation


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Utilizing Remote Sensing, AUV’s and Acoustic Biotelemetry to Create Dynamic Single Species Distribution Models the Mid-Atlantic. Matthew Breece, Matt Oliver, Danielle Haulsee University of Delaware Dewayne Fox, Lori Brown Delaware State University

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Matthew Breece, Matt Oliver, Danielle Haulsee University of Delaware Dewayne Fox, Lori Brown

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Matthew breece matt oliver danielle haulsee university of delaware dewayne fox lori brown

Utilizing Remote Sensing, AUV’s and Acoustic Biotelemetry to Create Dynamic Single SpeciesDistribution Models the Mid-Atlantic

Matthew Breece, Matt Oliver, Danielle Haulsee

University of Delaware

Dewayne Fox, Lori Brown

Delaware State University

Josh Kohut, Dave Aragon, Chip Haldeman

Rutgers University

Brad Wethebee

University of Rhode Island

John Manderson

NOAA NMFS


Atlantic sturgeon

Large range

Anadromous

Broad coastal movements

Vulnerable to impacts

During migrations

Over exploited

Atlantic Sturgeon


Project significance

Project Significance

  • Limited understanding of adult movements

    • Migration routes and timing

    • Environmental drivers

  • Increased understanding will help reduce impacts

    • Fisheries

    • Shipping traffic

    • Habitat degradation

  • Establish a quantitative link between ocean conditions and occurrence


Methods

Methods

  • 195 adults telemetered

    • 90 days (March-May)

      • 2009-2012

    • ~700km net hauled

    • 532 captures

      • Mean weight 40kg

      • Max ~135kg and 230cm FL


Delaware river receivers

Delaware River Receivers

  • 42 Receivers

    • C & D Canal - Trenton, NJ


Matthew breece matt oliver danielle haulsee university of delaware dewayne fox lori brown

Distribution of Spawning Atlantic Sturgeon

2009

2010

2011


Contribution to model

Contribution to Model

Salt front

Mixed reworking


Training model

Training Model

Philadelphia

Chester, PA

Wilmington, DE

N

C & D Canal

10km


Historic

Historic

  • MaxEnt

    • Similar estimates

    • Shows capabilities of the model


Projections

Projections

Philadelphia

Chester, PA

Wilmington, DE

N

C & D Canal

Historic

Drought

Current

Future

10km


Passive receiver array

Passive Receiver Array

  • > 150 Stationary Receivers

  • Our focus

    • Delaware Bay

    • Atlantic Ocean


Atlantic sturgeon maximum likelihood model

Atlantic Sturgeon Maximum Likelihood Model

  • Matching detections with SST

    • Delaware Bay/Coastal ocean detections

      • 2009-2011

    • Developed Maximum Likelihood model to estimate presence on basis of SSTs

  • Extrapolate data

    • Areas lacking receiver coverage

Sea Surface Temperature


Maximum likelihood model

Maximum Likelihood Model

  • Telemetry/SST inputs

  • Estimate mean and standard deviation

  • Model Fitting

    • Strong seasonal component

    • Included a time dependent negative cosine (seasonal cycle)


Matthew breece matt oliver danielle haulsee university of delaware dewayne fox lori brown

Maximum Likelihood Model


Moving forward

Moving Forward

  • Expand coverage

    • Include ACT data

    • Additional years

  • Increase factors

    • Derived from Satellites

      • Salinity

      • Chlorophyll

      • Dissolved organics

  • Add East/West component


Matthew breece matt oliver danielle haulsee university of delaware dewayne fox lori brown

Test Run November 2011 on RU15

  • Mission run from Tuckerton, NJ to Chincoteague, VA

    • Telemetry data

    • Temperature

    • Salinity

    • Productivity

  • Found 4 sturgeon

    • All in the same water mass


Understanding of movements

Understanding of Movements

  • Link movements to oceanographic conditions

    • Determine patterns/associations

    • Identify important water properties/types

  • Facilitate Management

    • Minimize incidental take of Endangered Species

    • Not only helps sturgeon but allows fisheries to keep fishing

      • Enables more efficient management

      • Limit the impact on fisheries


Matthew breece matt oliver danielle haulsee university of delaware dewayne fox lori brown

  • OTIS (Oceanographic Telemetry Identification Sensor)

    • Autonomous Underwater Vehicle (AUV)

      • Teledyne/Webb Research G2 Slocum Electric Glider

      • Acoustic Integration!


Matthew breece matt oliver danielle haulsee university of delaware dewayne fox lori brown

  • Mission Plan

    • Zig-zag the coastal ocean

    • Measure in situ oceanographic conditions

    • Monitor in near-real time for acoustic transmitters associated with telemetered fish

    • Focus efforts on areas with high concentrations of telemetered fish


Matthew breece matt oliver danielle haulsee university of delaware dewayne fox lori brown

  • Mission

    • October 5th – 23rd 2012

    • 337km traveled

    • On-the-fly mission changes when fish are detected


Matthew breece matt oliver danielle haulsee university of delaware dewayne fox lori brown

  • Atlantic Sturgeon (4)

Sand Tiger Sharks (25)


Matthew breece matt oliver danielle haulsee university of delaware dewayne fox lori brown

  • Further proof of concept:

    • AUVs are an effective tool for detecting telemetered fish in more remote locations

  • Real time data observing allows for on-the-fly mission changes to adapt to oceanic conditions and presence of fish

  • Science data collected by glider allows us to begin to make associations between the vertical structure of water column and the presence of different fish species.


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