Title: Population Viability Analyses (PVA)
1Population Viability Analyses (PVA)
2PVA
- 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.
3Ideas 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.
4Ideas 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
5Review 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
6Source 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
7Northern 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
8Purpose 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
9Application 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
10Application 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?
11Vulnerability
- 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
12Chance 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
13Vulnerability
- Chance events become more important as population
becomes smaller - Chance events can reinforce the negative effects
of one another
14Minimum 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
15History 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
16Grizzly 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
17History 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
18Limits 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)
19Best 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
20Best 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)
21PVA 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.
22PVA 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
23PVA and large populations
- Populations do not exhibit constant population
declines
of Individuals in population
A
B
Time
24PVA 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
25PVA 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
26Modelling 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
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