Estimating abundance and distribution of rare species
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Estimating abundance and distribution of rare species. Traditional and novel methods. Outline:. Data collection. Data analysis. Invasive Non-invasive. Simple Complex. Invasive data collection methods. Trapping. Pros:. Cons:. Gives great individual data Mass Sex Condition Age

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Estimating abundance and distribution of rare species

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Estimating abundance and distribution of rare species

Estimating abundance and distribution of rare species

Traditional and novel methods


Outline

Outline:

Data collection

Data analysis

  • Invasive

  • Non-invasive

  • Simple

  • Complex


Invasive data collection methods

Invasive data collection methods


Trapping

Trapping

Pros:

Cons:

  • Gives great individual data

    • Mass

    • Sex

    • Condition

    • Age

    • Parasite load

  • Can be dangerous to animal or researcher

  • Hard to get info on a lot of individuals

  • Requires a lot of work

  • Requires drugs

  • Lot of incidental captures

  • Requires bait


Radio telemetry

Radio telemetry

Pros:

Cons:

  • Gives great location and demographic data

  • Requires a lot of manual labor

  • Equipment expensive

  • Requires a lot of trapping

  • Can be dangerous to animal and researcher

  • Hard to get info on a lot of individuals


Gps telemetry

GPS telemetry

Pros:

Cons:

  • The absolute best location data*

  • Minimal man-hours (compared to radio telemetry)

  • VERY expensive

  • Requires a lot of trapping

  • Only available for larger animals

  • Hard to get info on a lot of individuals

  • Can be dangerous to animal


Non invasive data collection methods

Non-invasive data collection methods


Game cameras

Game cameras

Pros

Cons

  • Relatively cheap

  • Less man-power required

  • Little risk to animal or researcher

  • No individual information*

  • Requires bait


Hair snares

Hair snares

Pros

Cons

  • Really cheap

  • Less man-power required

  • Little risk to animal or researcher

  • Easier to get individual information

  • Requires bait

  • Hairs can be mis-identified


Track plates tubes

Track plates / tubes

Pros

Cons

  • Really cheap

  • Less man-power required

  • Little risk to animal or researcher

  • No individual information

  • Requires bait

  • Tracks can be mis-identified


Track transects

Track transects

Pros

Cons

  • Really cheap

  • Little risk to animal or researcher

  • Unbiased habitat use (no bait)

  • Tracks easier to identify

  • More detailed information

  • No individual information

  • Moderate man-power required

  • Requires particular environmental conditions


Scat excrement surveys

Scat / Excrement surveys

Pros

Cons

  • Really cheap

  • Little risk to animal or researcher

  • No bait

  • Lots of information

  • Can identify individual

  • Moderate man-power required

  • Hard to find scat in field – typically use roads

  • Can mis-identify scat

  • Best for larger animals


Vocalizations

Vocalizations

Pros

Cons

  • Sometimes cheap

  • Little risk to animal or researcher

  • No bait

  • Sometimes expensive

  • No individual information

  • Moderate man-power required

  • Can mis-identify calls

  • Won’t work well with some species


Detection dogs

Detection dogs


Detection dogs1

Detection dogs


Detection dogs2

Detection dogs


Scat detection dogs

Scat-detection dogs


Scat detection dogs1

Scat-detection dogs


Scat detection dogs2

Scat-detection dogs


Estimating abundance and distribution of rare species

  • Black bear scat

  • Eastern-spotted skunk scat

  • Weasel scat

  • Mountain lion scat

  • Cheetah scat

  • Invasive Pythons

  • Invasive Root fungi


Detection dogs3

Detection dogs

Pros

Cons

  • Increased data

  • Little risk to target species or researcher

  • No bait

  • Expensive (but cheap per sample)

  • May not get individual information

  • Moderate man-power required

  • Low risk of mis-identification


Genetics

Genetics

Pros

Cons

  • Decreases identification errors

  • Can provide individual information

  • Expensive (but getting cheaper)

  • DNA doesn’t always amplify

  • Some potential for error


Data analysis

Data analysis

Abundance


Abundance mna

Abundance – MNA

  • Easy

  • Only accurate with high detectability

  • Requires intense sampling

  • Each individual counted (census)

  • Assumes no one is missed


Abundance mark recapture

Abundance – Mark-recapture

  • Software available for analyses

  • Accurate with low to moderate detectability

  • Requires less sampling effort

  • Complicated

  • Statistical model that estimates population size

  • Accounts for detectability

  • Uses maximum likelihood


Data analysis1

Data analysis

Habitat use


Data analysis habitat analysis

Data analysis – Habitat analysis

  • Use vs. non-use

  • Use vs. availability

  • Non-use vs. availability

  • Occupancy

    • Use vs. non-use accounting for detectability


Habitat analysis use vs non use

Habitat analysis – Use vs. non-use

  • Relatively easy

  • Estimates absolute probability of habitat use

  • Requires high detectability

  • Comparison of ‘used’ points vs. ‘unused’ points

  • Logistic regression

  • Assumes non-use is detected perfectly


Habitat analysis use vs availability

Habitat analysis – Use vs. availability

  • Relatively easy

  • Does not require high detectability

  • Can only estimate relative probability of use

  • Cannot estimate absolute probability of use

  • Comparison of ‘used’ points vs. ‘available’ points

  • Logistic regression

  • Makes no assumptions about non-use


Habitat analysis occupancy

Habitat analysis - Occupancy

  • Works with low to moderate detectability

  • Estimates absolute probability of habitat use

  • Software available

  • Complicated

  • Comparison of ‘used’ points vs. ‘available’ points

  • Accounts for imperfect detection

  • Uses maximum likelihood


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