Combining sensors and communities to monitor bird movements

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Combining sensors and communities to monitor bird movements

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Title: Combining sensors and communities to monitor bird movements


1
Combining sensors and communities to monitor bird
movements
Judy Shamoun-Baranes, Willem Bouten and Emiel van
Loon Computational GeoEcology, Universiteit van
Amsterdam Distributed Sensing and Collective
Intelligence in Biodiversity Monitoring, Dec.
2008
2
Acknowledgments
  • FlySafe team
  • especially Jamie McLaren, Michael Kemp, Hans van
    Gasteren, Adriaan Doktor
  • Edwin Baaij, UvA
  • Kees Camphuysen, NIOZ
  • Katrin Fleischer, Natalia Gallego Garcia, UvA -
    CGE

3
Influence of meteorological factors on bird
movement at different scales
Space Hundreds of kilometers Tens of
kilometers Kilometers Meters
Mesoscale
Time Weeks/days Daily Hours Minutes Seconds
Microscale
4
FlySafe The Bird Migration System of
SystemsIntegrated Applications Promotion
Initiative
Estimated damage to commercial aircraft worldwide
1.2 Billion USD annually
5
FlySafe Sensors
Long Range Military Radar 150 km radius,
migration Weather radars 25 km radius, altitude
distribution migration Short Range Specialized
Radars 5 km, local bird behaviour Individual
birds Tracking, species specific behaviour Earth
observation data Meteorological data
6
FlySafe Sensors Tracking birds from space
7
UvA GPS bird tracking system measuring local
bird movements at high resolution
8
FlySafe Sensors MPR Robin4NL (2), BE (1), FR
(1)
9
FlySafe Sensors MPR Robin4
November 6, 2008 1820
10
FlySafe Sensors MPR Robin4
November 6, 2008 1820 land clutter filter,
precipitation filter, bird tracks, wind speed and
direction
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FlySafe Sensors Weather radar
  • Calibration with bird detection radar at 3
    locations
  • NL BE C-Doppler, FR - Dual polarization

15
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FlySafe Sensors Weather radar
18
FlySafe System of Systems
19
Local Forecast Migration Model
  • Military surveillance radar data
  • ECMWF Medium range forecast model data
  • Generic workflow
  • Improved data correction procedures
  • General additive models
  • Hourly predictions for autumn spring migration

https//www.bambas.ecogrid.nl/
20
Migration Flight Altitude Model
  • Dedicated bird detection radar weather radar
    data (OPERA)
  • ECMWF Medium range forecast model data
  • General additive models
  • Hourly predictions of altitude density
    distribution

21
Modelling bird movement Spatial Explicit
Simulation Models
  • IBM
  • Generic framework
  • Meteorology, topography, land use
  • Passerine migration model
  • Soaring bird migration model
  • Create realistic simulations
  • Integrate with measurements

22
Modelling bird movement Spatial Explicit
Simulation Models
1 km
23
Studying behaviour using tracking data
  • Core areas and habitat preference
  • Migration routes and stopover areas
  • Individual variability

Natalia Gallego Garcia
24
Studying behaviour using tracking data
  • Where, how, why, what,
  • Detailed daily patterns
  • Interaction with environment
  • Foraging behaviour ecology

25
A day in the life of gull 52 ? FAJK
  • June 6, 2008 615 June 7, 2008 615
  • 625 leaves nest, goes to North Sea
  • 750 925 hangs out on beach
  • 925-1107 follows fishing vessel
  • 1107 1153 flies back to Texel 20-40 km/hr
    (not nest)
  • 1153-1304 mudflats beach
  • 1304 2115 nest
  • 120 flies south over North Sea 30-50 km/hr then
    turns east over land
  • 230 524 rural areas/agricultural fields
  • Flies back to Texel over North Sea 30-50 km/hr,
    back at 610

26
Connecting communities combining technologies
  • Enhanced tracking technology
  • Information management services
  • Visualization modelling tools
  • Integrate different systems
  • A platform for interdisciplinary collaboration
  • Linking facilitating existing services or
    networks e.g. MoveBank www.movebank.org,
    LifeWatch www.lifewatch.eu

27
  • shamoun_at_uva.nl
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