Can speed and tri-axial acceleration measured by biologgers be used to classify Oystercatcher...
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Transcript of Can speed and tri-axial acceleration measured by biologgers be used to classify Oystercatcher...
Can speed and tri-axial acceleration measured by biologgers be used to classify Oystercatcher behaviour?
MSc Thesis Roeland A. Bom
Supervision:Dr. Judy Shamoun-Baranes & Prof. Dr.ir. Willem Bouten
Dr. Bruno J. Ens & Drs. Kees Oosterbeek
Px Jeroen Onrust
Biologgers measuring tri-axial acceleration
• Static acceleration• Dynamic acceleration
Heave (z)
Sway (y)
Surge (x)
Shepard et al, 2008
•classify complex behaviours?• Energy and storage
Aim
• Can tri- axial acceleration be used to classify animal behaviour? - test case: the Oystercatcher Haematopus ostralegus.
• Can acceleration be used to make (spatial) time budgets over a long time period?
• Can instantaneous speed be an alternative for classifying behaviour?
Why Oystercatchers?
• Ideal shorebird to observe a range of distinct behaviours.• Fundamental ecology.• Conservation ecology.
• UvA biologggers measure: geolocation, instantaneaous speed and acceleration (20 Hz)
• Solar panel to charge the battery
• Logging interval up to 3 seconds
• Communicate with antennae, interactively change settings
The biologgers
Methods
• Observe logged bird in the breeding season while logging with10-20 seconds interval + 3 seconds accelerometer data.
• Link observation data to logger data and make classification model for acceleration- and speed data separately.
• Log throughout the year.
Study area: Schiermonnikoog
• Observations on three logged birds
• 702 labeled data belonging to 18 different behaviours
• Speed model
• Three groups of behaviours, misclassification-error 32%
• misclassification-error fly not fly 8%
Results
No movement
Fly Terrestrial locomotion
is the speed = > 0.19 m/s?
Is the speed > 3.5 m/s?
NO
NO
YES
YES
• Static acceleration Pitch & Roll
• Dynamic acceleration Maximum (g) Average absolute (g/s) Periodicity Frequency (Hz) Instantaneous speed (m/s)
classification model for acceleration data
0.0 0.5 1.0 1.5 2.0 2.5 3.0
-1.0
0.0
1.0
Forage_bs
166_20090703_10time (s)
dyn
am
ic a
cce
lera
tion
(g
)
Heave (Z)
Sway (Y)Surge (X)
Results
NOYES
is the average absolute dynamic acceleration in the sway = < 0.4 g/s?
Stand
Terrestrial locomotion
Preen
SitFly
is the average absolute dynamic acceleration in the surge = < 1.9 g/s?
is the heave pitch angle < 0.72°?
NO
NO
YES
YES
YES
NO
is the average absolute dynamic acceleration in the heave = < 10.4 g/s?
• Acceleration model
• Five groups of behaviours, misclassification-error 13%
Time (s)
Acceleration figures
Terrestrial locomotion
Fly
Preen
Dyna
mic
acce
lera
tion
(g)
0.0 0.5 1.0 1.5 2.0 2.5 3.0
-1.0
0.0
1.0
Wax
166_20090703_45time (s)
dyna
mic
acc
eler
atio
n (g
)
0.0 0.5 1.0 1.5 2.0 2.5 3.0
-1.0
0.0
1.0
Forage_bs
166_20090703_2time (s)
dyna
mic
acc
eler
atio
n (g
) 0.0 0.5 1.0 1.5 2.0 2.5 3.0
-1.0
0.0
1.0
Fly
166_20090707_51time (s)
dyna
mic
acc
eler
atio
n (g
) Heave (Z)
Sway (Y)Surge (X)
Complex behaviour?
Forage
Handling
0.0 0.5 1.0 1.5 2.0 2.5 3.0
-1.0
0.0
1.0
Handle_is
166_20090703_16time (s)
dyna
mic
acc
eler
atio
n (g
)
0.0 0.5 1.0 1.5 2.0 2.5 3.0
-1.0
0.0
1.0
Forage_bs
166_20090703_17time (s)
dyna
mic
acc
eler
atio
n (g
)Dy
nam
ic ac
cele
ratio
n (g
)
Time (s)
Heave (Z)
Sway (Y)Surge (X)
Results•Geolocations and accelerometer data throughout the year
2 km
Fly Terrestrial Locomotion Preen Stand Sit
Habitat vs Behaviour
Day night behaviour
Conclusion
• Biologging measuring acceleration can be used to distinguish several key behavioural classes in Oystercatchers.
• This information can be used to calculate time budgets in a spatial and temporal scale.
• Such quantitative analysis of behaviour can improve our understanding of how Oystercatchers organize their time.
Supervisors: Bruno Ens, Judy Shamoun-Baranes & Willem Bouten
Fieldsupervisor: Kees Oosterbeek
Fieldworkers: Jeroen Onrust, Hedwig Ens & Maaike Ebbinge
UvA team: Edwin Baaij & Emiel van Loon
thanks to