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Population Viability Analyses (PVA)

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Title: Population Viability Analyses (PVA)


1
Population Viability Analyses (PVA)
  • Presentation 1
  • Lesson 7

2
PVA
  • Most PVAs consider internal factors (sex ratio,
    number of births, survival, etc) and the effect
    of these internal factors on population
    persistence
  • We will study the effect of external factors
    (habitat, disturbances) in a later class.

3
Ideas of population persistence
  • Human the hunter realized that habitat type is
    important for distribution and abundance of prey
  • Humans also understood that habitat quality is
    important
  • With the advent of agriculture and animal
    husbandry humans realized that sex ratios, age of
    individuals, and morphological characteristics
    were important for reproduction.

4
Ideas of population persistence (cont.)
  • Island biogeography showed us habitat quantity is
    fundamental to survival of a population (even
    with the best habitat without enough of it
    population would not survive)
  • In the 1990s we realized that habitat pattern
    important (metapopulation theory)
  • Not only must we have enough good habitat it must
    be arranged in an appropriate pattern
  • E.g. northern spotted owl in NW US and Canada

5
Review of metapopulation theory
  • Source and sink dynamics
  • Source surplus individuals produced migrate to
    areas available for them to live
  • Sources have demographics that lead to population
    increase
  • Source has habitat suitable for population
    increase
  • Sink space available for migrants

6
Source and sink dynamics
  • Studies show that small of total population may
    be located in source habitat
  • As little as10 of population could be source
  • Provided new definition for key (or critical)
    habitat
  • Key habitat defined by habitat specific
    reproductive success and survivorship not just
    population density

Pulliam, H.R. 1988. Sources, sinks and
population regulation. Am. Nat. 132652-661
7
Northern Spotted Owl
NW US and B.C. Non-migratory Natural low
population Dense timber (old growth) Thomas et al
(1990) used PVA to devise conservation strategy
Ccourtesy of Eric Forsman, U.S. Forest Service
8
Purpose of Population Viability Analyses (PVA)
  • To study how habitat loss, environmental
    uncertainty, demographic stocasticity, and
    genetic factors determine extinction
    probabilities for individual species

PVA can be used to tell us how large a
population is required for the group to survive
for a know period of time, e.g. 95 probability
of extinction in 100 yrs.
Metapopulation theory provides us with the basis
to understand these relationships
9
Application of PVA
  • We can use PVA to model the probability of a
    population failing or prospering under a given
    set of circumstances
  • Can be used to set size of population required to
    restore SAR or maintain species of interest.
  • Can use to find features that make a population
    vulnerable

10
Application of PVA
  • This will provide us answers to management
    questions
  • Where should we concentrate our efforts?
  • Increasing births?
  • Reducing deaths of young?
  • Reducing deaths of old?
  • Reducing deaths of males?
  • Reducing deaths of females?

11
Vulnerability
  • Small populations are vulnerable because of
    chance events
  • Chance operates at several levels
  • When organisms die
  • How many off spring they have
  • If they find mates
  • Effects of weather on food, shelter
  • Effects on genetic makeup of population
  • Catastrophes

Demographic stocasticity
Environmental stocasticity
Genetic stocasticity
12
Chance and populations
  • As general rule
  • Genetic and demographic uncertainty important for
    viability of small populations (50 - 250 breeding
    individuals)
  • Environmental uncertainty important for
    populations in the order of 1,000 to 10,000
    individuals
  • Natural catastrophes important for all population
    sizes

13
Vulnerability
  • Chance events become more important as population
    becomes smaller
  • Chance events can reinforce the negative effects
    of one another

14
Minimum viable population (MVP)
  • The smallest isolated population having a 99
    chance of surviving 100 years.
  • Can change and years depending on objectives
  • Once we have a MVP can multiply it by the home
    range figures to calculate minimum area needed to
    support MVP

15
History of PVA
  • First used by Shaffer (1983) to study grizzly
    bear in Yellowstone National Park
  • Used detailed 12 yr data on grizzly population to
    construct population dynamics by tracking
    individual bears and incorporating effects of
    chance events

NPS Photo
16
Grizzly bears
  • If you wanted a 95 chance for grizzly bears to
    survive for 100 years you have to have enough
    habitat to allow 70-90 bears
  • If you want a 99 chance or longer time of
    survival then more bears needed
  • Study did not model genetic influences or chance
    natural catastrophes

NPS Photo
17
History of PVA
  • Today over 30 PVA studies
  • Theoretical basis for population viability still
    developing
  • Do not have models sophisticated enough
  • Do not have life history description and data for
    most organisms

18
Limits of PVA
  • Only as reliable as inputs!
  • Depends on realism of models logic!
  • Need lots of demographic data (not usually
    available)
  • Long term projections imply habitat stability and
    all else being equal (often not the case in the
    real world)

19
Best bets for future
  • Cannot do PVA for all SAR
  • Identify spp indicative of natural system
    (indicator spp or keystone spp)
  • PVA for these will provide area requirements for
    others that require the same system
  • These indicators are likely to be top carnivores
    long-lived, slow reproduction, large body

20
Best bets for conservation
  • Create multiple populations single catastrophe
    cannot destroy spp
  • Increase size of each population so that genetic,
    demographic and environmental factors less
    threatening (very difficult to do)

21
PVA in harvest regulation
  • Elements of PVA is used to determine minimum
    population before harvest is sustainable.
  • Need information on population dynamics, life
    history, demographics to determine sustainable
    harvest levels.

22
PVA and large populations
Photo NPS
Passenger Pigeon(Ectopistes migratorius)
Photo NPS
Photo Cornell U
What can PVA tell us about the sudden demise of
large populations?
Photo NPS
23
PVA and large populations
  • Populations do not exhibit constant population
    declines

of Individuals in population
A
B
Time
24
PVA and large populations
  • Under some circumstances populations will exhibit
    threshold responses dramatic population changes
    over short time period
  • See Lande (1987) for hypothetical responses
  • Thresholds are difficult to predict

25
PVA and large populations
  • Assume
  • Bird population, juveniles migrate, if suitable
    habitat found they survive
  • Habitat near agric land less suitable, less food,
    pesticides
  • Low reproduction near agric land
  • When agric land increases, reprod lower
  • When reprod mortality, suitable habitat
    occupied declines rapidly

Threshold
suitable habitat occupied
landscape agricultural
26
Modelling populations
  • A simple population model
  • Nt1 Nt B - M
  • Nt1 Population tomorrow
  • Nt Population today
  • B Births
  • M Mortality

Can put in one average value and come up with one
result
Try these values in the formula Nt
100 B50 M30 What is Nt1?
Ans 120
27
  • Questions?
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