Chapter 4: Estimating Vital Rates Flashcards

(39 cards)

1
Q

non-invasive capture and mark methods: sources of error

A
  • genotypic error
  • shadow effect
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2
Q

genotypic error

A

two or more individuals that share the same genetic ID or physical markings are counted as same individuals

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3
Q

genotypic error example

A

increased number of loci

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4
Q

shadow effect

A

same individual counted as multiple individuals in analyses

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5
Q

shadow effect example

A

hair cells of two individuals are amplified together, creating a ‘new’ individual

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6
Q

SCR - Spatial Capture Recapture Methods

A
  • new class of sophisticated closed CMR methods
  • incorporates spatial information of captures to estimate location and number of animal home ranges
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7
Q

SCR example

A
  • R packages
  • Bayesian approaches
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8
Q

open population models

A
  • some caught, other dead or gone
  • additions or losses are of interest
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9
Q

additions

A
  • birth
  • immigration
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10
Q

losses

A
  • death
  • emigration
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11
Q

Jolly Seber Abundance

A

Ni = Mi* ni / mi

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12
Q

Mi

A

estimate of number of marked animals alive in the population right before occasion i

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13
Q

how is abundance estimated

A

with closed-population models within each primary period

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14
Q

how gains and losses are estimated across the primary period

A

using open-population models

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15
Q

open population models examples

A
  • survival
  • recruitment
  • emigration
  • immigration
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16
Q

factors of survival estimation

A
  • known fate
  • CMR
  • band recovery/return
17
Q

known fate

A

all animals can be relocated

18
Q

CMR (Cormack-Jolly-Seber)

A

only survivors are recorded

19
Q

band recovery/return

A
  • only deaths are recorded
  • marked alive, bands returned via harvest
20
Q

known fate models

21
Q

S

22
Q

x

A

number of surviving animals

23
Q

n

A

total number of sampled animals

24
Q

Kaplan Meier Methods

A

S(t) = pi [1- (# of deaths at time i=di/ # at risk at time i=ri)]

25
Kaplan-Meier Methods accommodates...
- multiple intervals of sampling - right censoring of animals with unknown fate - staggered entry of new animals
26
assumptions of Known-Fate survival methods
- marked animals are representative of the population - the mark/sensor does not affect survival - censoring is unrelated to their fate - survival times are independent for the different animals
27
survival estimation allows for:
estimating the effects of different variables
28
measuring reproduction: proportion breeding
- observation - non-invasive genetic markers - hormone assays
29
non-invasive genetic markers example
paternity/maternity
30
factor to tell how many babies per mom
- natality - fecundity - average reproduction contribution
31
natality
average number of live offspring per female that reproduces
32
examples of natality
- litter size - clutch size
33
fecundity
average number of offspring born per individual of a given age in one time step
34
average reproduction contribution
product of fecundity and either the survival of young to be counted the next year or the survival of parents to have the young
35
sex ratios
- ratio of males to females - varies through different lineages
36
sex ratio driving factors
- temperature - food availability - males often have a lower survival
37
sex ratio driving factors: temperature
- climate change - styrofoam boxes
38
food availability
sex allocation theory
39
sex ratio driving factors: males often have a lower survival
- more risky behaviors - high susceptibility to disease and parasites - X linked genetic problems