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Mindmap

Biotelemetric methods

Ron Togunov Englisch

Mind map of biotelemetric methods: acoustic telemetry, RF telemetry, ethics and technology

Mind map: Biotelemetric methods

Inhalt der Mindmap

Biotelemetric methods

  1. Acoustic telemetry

    • Implant
    • External
    • Wave properties
      • Pressure wave
      • Environmental effects
      • ^ Temperature ^ speed
      • ^ pressure ^ speed
      • ^ Salinity ^ speed
    • Passive
    • Active
      • Sonar
      • Sizemic
    • Positioning
      • Echo-location
        • Sonar
          • Passive
        • Sizemic
      • Triangulation
        • Using implats
        • listening to sounds
      • GPS fastloc
        • aquire pseudorange
          • Too large to send over satellite
        • Euphemurus data is aquired after tag retrieval
    • Data Aquisition
      • Popup tag
      • Popup Satellite archival tag
        • SRDL
        • PSAD
      • Acoustic
      • Data storage Tags (DSTs)
  2. RF Telemetry

    • Wave properties
      • electromagnetic radiation
        • Electric & magnetic fields at right angles
          • Orrentation determites polarity
            • Determined by electric field
      • Frequency
        • Wavelength
        • Period
        • VHF
          • 30-300 MHz
          • on ground
        • UHF
          • over 300 MHz
          • Sattelites
      • Amplitude
      • Behaviour
        • Defraction
        • Reflection
        • Absorption
          • Cannot pass through salt water
          • Not absorbed by dielectrits
        • Scattering
        • Interference
        • Dopler effect
    • Antennae
      • emit and detect RFs
      • Gain: degree of directionality
        • Described by antennae pattern & beam width
      • Impedence
        • Resistance to current flow
        • impedence matching
          • impedence associated with wavelength must be same in antenna and Coax cable
    • Positioning
      • VHF
        • Radio tracking
          • Very laborious
      • Sattelite
        • GPS
          • Tag listens to GPS
            • Euphemurus data
              • Positions of the satellies relative to earth
            • Pseudorange
              • Distance between tag and satellitse
        • Argos
          • use doppler effect
        • More expensive
    • Data aquisition
      • VHF
      • UHF
        • Argos
        • Irridium
          • Handshaking
          • Satellite network
      • GSM
        • Cell phones
      • Datalogger
        • Must be retrieved
        • Stores info on board
      • SRDL
  3. Ethics

    • Three Rs
      • Refine
        • Best methots
      • Replace
        • Model
        • non wild animls
      • Reduce
        • Smaller sample
    • Three issues with Biotelemetry
      • Intensive use of capture and handling techniques
        • use methods from one spp in another
        • Know your animal
        • Surgical procedures are invasive
          • Risk of infection
        • Know your technology
          • Test things out
      • Physiological impoct on animalso
        • mass must be less than 2%
        • right shape
          • External tags can get caught in things and change bedavior
        • Attachment is important
        • Animal's behaviour
        • Risk of infection
        • How it will be released
        • negative results must be reported
        • Animal growth
          • Stretchy collars
      • Limited potential for monitoring posts-release.
  4. Technology

    • Battery
    • Sensors
      • Trasnducer
    • Transmitter
    • Transponder
      • emits signal after interigation
      • E.g fish & birds in nests
      • Very light/cheap
  5. Biology

    • Home range
      • Minimum Convex polygon
        • samllest polygon contiaingn 95% of all points
        • Sensitive to small sample size and
      • Kernel Density estimation
        • Utilization distribution
          • Probability distribution. probabilitf of seeing an animal in a location
        • Smoothing the point pattern
          • Based on bandwidth
            • hRef
              • Not very accurate. esp when distribution is clumped
            • Least squares cross validation
              • bandwidth minimizes variation between true and estimated UD
                • Sensetive to sample size
            • Subjective choice
        • See intensity of area use
      • Brownian bridge
        • Calculates UD
        • Takes into account sequence of poins
        • Estimated w/ Maximum likelihood
    • Habitat selection/utilization
      • Detirmine area restricted use
        • Time spent in area
          • Convert area to grid
            • Time spent in each square
            • Must be same for all individuals
        • First passage time
          • Time to cross a circle of a given radius
            • Pass through areas have low FPT
            • Foraging areas have high FPT
          • Increases with radius
          • plot variance of log(FPT)
            • Highest variance = spatial scale of ARS
      • estimating environmental covariates
        • Cox-proportional hazards model
          • Probability of an event occuring
            • output is a ratio
              • Below 1 = less probability animal will leave
        • LME
          • Include fixed and random effects
            • Fixed effetcs
              • informative
            • Random effets
              • Uninformative
              • needed to avoid pseudoreplicaiton to minimize type 1 error
                • eg. measuring same individual or temporally correlated data.
              • eg. individual ID
              • Can be confounding
          • Assume normality
        • GAMM
          • When we do not have a normal distribution
            • And transformation is not appropriate
          • Model realtionship as a smoothing function
            • Penalized qubic regression splines
              • Based on knots
                • More knots fit data closer
    • Migration
    • Data filtering
      • first step of data analysis
      • Sources of error
        • Errors can occur from insufficient satellite (ARGOS)
        • Animal motion
      • Methods
        • Speed Filter
          • Removes locations greater than given speed
        • Speed Distance ange
          • Removes locations with unrealistic speed and turning angle higher than threshold
        • Aust filter
          • Based on moving filter
            • Speed between each point in window. W/ speed limit
        • Douglas Argos filter
          • Uses 3 methods based on distance threshold
          • Can include turning angle test
        • Multiple state-space methods
          • Estimate state of unobservable process from observed dataset
          • looking for outliers/ unlikely data points

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Beschreibung
exam
Erstellt von
Ron Togunov
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