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Estimating Abundance: Estimating Abundance: Sightability Models Sightability Models

Estimating Abundance: Sightability Models

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Estimating Abundance: Sightability Models. Visibility Bias. Virtually all counts from the air or ground are undercounts because can’t see all the animals due to vegetation cover or topographic irregularity - PowerPoint PPT Presentation

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Page 1: Estimating Abundance:  Sightability Models

Estimating Abundance: Estimating Abundance: Sightability ModelsSightability Models

Page 2: Estimating Abundance:  Sightability Models

Visibility BiasVisibility Bias

Virtually all counts from the air or ground are undercounts because can’t see all the animals due to vegetation cover or topographic irregularity

Solutions utilize mark-resight methods, distance estimation (line transects), a correction factor or a sightability model

Page 3: Estimating Abundance:  Sightability Models

Elk in BrushfieldElk in Brushfield

Page 4: Estimating Abundance:  Sightability Models

Elk in Light TimberElk in Light Timber

Page 5: Estimating Abundance:  Sightability Models

Medium TimberMedium Timber

Page 6: Estimating Abundance:  Sightability Models

Heavy TimberHeavy Timber

Page 7: Estimating Abundance:  Sightability Models

Sightability ModelSightability Model

Attempts to remove visibility bias by estimating a correction factor for each group of animals seen.

Adaptable to a variety of conditions.Cost efficient, especially once model builtOnly works if model is applicable and if

visibility averages at least 33%.

Page 8: Estimating Abundance:  Sightability Models

Developing a Sightability (or Developing a Sightability (or Visibility Bias) ModelVisibility Bias) Model

Mark elk (deer, sheep, etc.) groups with radio-collars or have observers on ground keep track of individual groups when helicopter/plane passes over.

Fly aerial survey over the geographic area where the marked groups occur.

Determine which individual groups were seen and which groups were missed.

Page 9: Estimating Abundance:  Sightability Models

Developing Sightability Developing Sightability ModelsModels

Identify which factors such as group size, tree and shrub cover, snow cover, weather, observers, type of helicopter, etc. influenced whether a group was seen or missed.

Important: factors must be ones that will have the same effect each time a survey is conducted

Page 10: Estimating Abundance:  Sightability Models

Developing Sightability Developing Sightability ModelsModels

Keep some factors constant such as type of helicopter or fixed-wing, experience of observers, speed of flight, height above ground, etc.

Estimate the effects of the other important factors we can’t control such as group size, vegetation cover, etc. using logistic regression.

Page 11: Estimating Abundance:  Sightability Models

Sightability Model:AnalysisSightability Model:Analysis

Logistic regression is one of a number of statistical models that can be used to analyze the observations of groups seen and groups missed.

Prob(Seeing group) = e / 1 + e

where = a + b1 X1 - b2 X2

e.g. X1 = group size, X2 = veg. cover

Page 12: Estimating Abundance:  Sightability Models

Probability of Seeing ElkProbability of Seeing Elk

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1 5 10 15 20

Size of Group

p

25% Cover

50% Cover

80% Cover

Page 13: Estimating Abundance:  Sightability Models

Factors Affecting Elk Factors Affecting Elk SightabilitySightability

Size of groupPercent vegetation cover around groupPercent snow coverSecondary factors also statistically signif.:

– Activity (moving vs. still)– Observer experience– Composition (Bull groups vs. others)– Type of helicopter or fixed-wing

Page 14: Estimating Abundance:  Sightability Models

Sightability ModelSightability Model

Use the logistic regression model to calculate a the probability that each group is seen.

Estimate becomes???

Page 15: Estimating Abundance:  Sightability Models

Simple ApplicationSimple Application

Suppose we see a group of 3 elk in an open forest with 40% cover of obscuring vegetation.

If our logistic regression model estimates that only ½ of groups of 3 in 40% cover are seen (p=0.5), then if we saw this one group of 3 animals, there was probably another group of 3 that we missed.

Page 16: Estimating Abundance:  Sightability Models

Simple ApplicationSimple Application

So if we saw 3 there were actually 6 in the area.

How? Probability of detection = 0.5True N = Nobs /Prob. of det. = 3 / 0.5 = 6

Page 17: Estimating Abundance:  Sightability Models

Simple ApplicationSimple Application

If the next group we saw was a group of 2 animals in 80% cover and the model said that we only have a 20% chance of detecting such a group (p=0.2)

We would correct this group of 2 to represent 2/0.2 or 10 animals in the population.

Page 18: Estimating Abundance:  Sightability Models

Simple ApplicationSimple Application

If the next group that we saw was a group of 7 elk standing in an open brushfield with only 15% obscuring cover

The sightability model might predict that such a group would have a 100% chance of being detected (p = 1.0).

What is the estimated true size of the group?

Page 19: Estimating Abundance:  Sightability Models

Lochsa River Elk HerdLochsa River Elk Herd

This sightability model was applied to the elk herd wintering on the Lochsa River in 1985.

Half of the winter range was flown obtaining a raw count of 2718 elk.

When the sightability model corrections were applied to the counts the corrected estimate was 4775 with 90% bound of 458.

Page 20: Estimating Abundance:  Sightability Models

Lochsa Elk HerdLochsa Elk Herd

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1000

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Comp Cnt

Sightability

Page 21: Estimating Abundance:  Sightability Models

Aerial Survey ProgramAerial Survey Program

All calculations easily performedVariety of sightability modelsIncludes online users manual by Unsworth

et al. Available from Univ of Idaho’s Fish and

Wildlife Dept. web site. Go to (http://www.uidaho.edu)