Transcript Slide 1

Tools: Data Loggers
for Movement and
Vocalization
Janeen L. Salak-Johnson, PhD
University of Illinois
Lecture: April 5, 2007
Why Animal Vocalization
and Movement?
4
“WHYs” in biology (Tinbergen, 1963)
 Survival
value or function
 Causation
 Development
 Evolutionary history
 Why
do starlings sing in the spring?
Why Study Animal Locomotion?
 Function

Move for variety of reasons
 Causation
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Brain
 Development
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Walk, foraging, social
 Evolutionary

history
Selection based on necessity or need
How do we Study Locomotion?
 Numerous

ways
Primarily behavioral
 Must
be relevant
Question
 Species
 Situation (Lab vs. Field)
 Environment (pen vs. behavioral apparatus)
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 Example

Time and energy budgets
Simple Behavior Monitoring and
Sources of Error
Observer Error & Bias
Error of recording
Computational
Error
Results
Need More Information….
 Arboreal Primate
 Support it prefers to move along
 Height of the forest
 Types of locomotion
 Increase
information, more specific
 Complex methodology (i.e., distance/mo.)
 Map of position at regular intervals (spatial position)
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Tracking systems – fitted w/ data logging systems w/ GPS
Direct reflection of locomotor state of animal
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Radio collars
Why do Animals Vocalize?
 Communication

Who? Says What? Which Channel? To Whom?
With What Effect?

Lasswell’s, 1964 – Message Transmission Theory
 Signaling
 Echolation
 Defensive
 Mating
reactions
How do Animals Vocalization?
 Sophisticated
vocal system
 Control -- brainstem centers

Input - higher sensory, emotional, & homeostatic
regions
 Sensory
cortex, limbic system, and cingulate cortex
 Mechanism of selection is not well understood
 Intact

midbrain is critical
Cats – hissing, howling, growling, meowing
 Removed
telencephalon & diencephalon
 BUT midbrain – dramatically reduced
Vocalization a Hallmark of
Emotional Reactions?

Measure of welfare?

Emotional stress and psychological well being
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Individual
Conspecifics
Emotional state = vocal pattern?
 For example,
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Confined rat – 22 kHZ cry
Rhesus macaques – emitting anticipatory “coos”
Wild-captured mongoose – “screams”
Vocalization a Hallmark of
Emotional Reactions?
 Fear,
elation, and anger are express via
vocalization of these 3 species of captive
animals
 Is
this enough to make this statement?
 What
if I told you… ?
 What if I told you..?
 What if I told you..?
Vocalization a Hallmark of
Emotional Reactions?
 What
information is absolutely necessary to be
able to use vocalizations as a measure of well
being?
 Can
vocalization by itself be used as an
indicator?
Rodent’s cry
 Monkey’s coos
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Tools: Measure Vocalization
 Techniques
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of sound analysis
Discriminate
Analyze
Classify specific vocalizations
 Records
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Informatively rich
Relatively inexpensive
Digital or analog
Continuous or discrete time segments
Isolated individuals or group
Tools: Measure Vocalization
 Data
analyzed in variety of ways (dependent
upon information desired

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Frequencies of occurrence
Patterns of amplitude and frequency (behavioral and
environmental event)
 Manteuffel
et al., 2004. Appl. Anim. Behav.
Sci. 88:163-182

Procedures used in farm animals bioacoustics
 Extraction
of information
 Distinguish and characterize
Tools: Measure Vocalization
 Microphones,
recording devices (human range)
 Bat
detectors
 UltraVox (Noldus)
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Measures ultrasonic
Low cost
Real time
Multiple animals
 Software
being developed (Delphi5)
Data Loggers
 Advantages
 Benefits to science and animal welfare
 Real time and precise location
 Free ranging animals
 Less labor, longer duration
 Less disturbances by observer
 Less observer error
 Less variation among observers
 More data points, more accurate, more reliable?
Data Loggers - Disadvantages
 Costly
 Not
always practical
 Validation, Durability, Repeatability
 Limitations
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Information obtained
Species practicality
Physical impact of device (mass, shape, location)
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Extra mass – physiological impact (body mass, energy cost)
Shape – inappropriate or incorrectly fitted
Location – balance
Data Loggers - Disadvantages
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Welfare implications
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Attachment
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Psychological – pain, suffering and distress
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Sutures or glues
Color of harnesses, devices and marker (social status or attract
predator or prey)
Capture and handling (wild animals)
Physiological impact (more wild than lab) – foraging, grooming
Limited monitoring and human intervention
Physiological
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Energetics
Performance (diving or breeding)
Contact logger collars
 Tracking
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
equipment
Activity
Mortality
Heart rate
Temperature
Sound
 Proximity
detector – detects when animals
come w/in a defined distance of each
other
Actiwatch and Actical
Mini Mitter®
 Actiwatch
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– non-invasive
Track activity levels
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High sensitivity to small movements
High intensity range
Track changes in activity patterns (i.e., sleep)
 Determine circadian rhythms
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 Measure
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activity and circadian rhythms
Food, drugs, pain, health, well-being
 Activity
patterns relative to observe, thus
correlate (time and duration)
Data Loggers: Ethovision
(Noldus)
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http://www.noldus.com/site/content
/files/shorttours/ethovision-xt.html
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See short tour
Case studies
Van Oort et al., 2004.
Appl. Anim. Behav. 88:299-308
 Would
it have been important to
determine if collar’s interfered with
behavior?
 How
could they have assessed?
 How
could they have controlled?
Van Oort et al., 2004.
Appl. Anim. Behav. 88:299-308
 Is
determining active and inactive behavior
enough? Why or Why not?
 Can
they use historical data to make the
assumption that inactivity is lying and the
rest is grazing?
 How
could they have better characterized
these behavioral categories?
Swain and Bishop-Hurley, Appl.
Anim. Behav. Sci. 2007

Does data support their conclusion?
 “Contact
logging devices have the potential to
provide useful data on animal affiliations?

What other information would have enabled them to
better quantify cow-calf interactions?
 Page
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