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Gotelli - Primer of Ecology (on reserve) Habitat loss Pollution Overexploitation ... Birth (Natality) Death (Mortality) - Nt 1 = Nt B-D I-E. Population Nt ... – PowerPoint PPT presentation

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Title: Background knowledge expected


1
Background knowledge expected
Population growth models/equations exponential
and geometric logistic
Refer to 204 or 304 notes Molles Ecology
Chs 10 and 11 Krebs Ecology Ch 11 Gotelli
- Primer of Ecology (on reserve)
2
The ecology of small populations

Habitat loss Pollution Overexploitation Exotic spp
Small fragmented isolated popns
Env variation
Inbreeding Genetic Variation
Demographic stochasticity
Reduced N
Genetic processes
Catastrophes
Stochastic processes
3
Outline for this weeks lectures
How do ecological processes impact small
populations? Stochasticity and population growth
Allee effects and population growth
4
Demography has four components
Birth (Natality)
Emigration -
Immigration
Population Nt
Death (Mortality) -
Nt1 Nt B-DI-E
5
Exponential population growth
(population well below carrying capacity,
continuous reproduction closed popn)
?N
?t
Change in population at any time dN (b-d) N
r N where r instantaneous rate of
increase dt
Cumulative change in population Nt N0ert
N0 initial popn size, Nt
popn size at time t e is a constant,
base of natural logs
6
Trajectories of exponential population growth
N
Trend
r gt 0 r 0 r lt 0
t
7
Geometric population growth
(population well below carrying capacity,
seasonal reproduction)
Nt1 Nt B-DI-E ?N Nt1 - Nt Nt
B-DI-E - Nt B-DI-E Simplify - assume
population is closed I and E 0 ?N B-D If
B and D constant, popn changes by rd discrete
growth factor Nt1 Nt rd Nt Nt (1 rd)
Let 1 rd ?, the finite rate of
increase Nt1 ? Nt Nt ?t N0
8
DISCRETE vs CONTINUOUS POPN GROWTH
Reduce the time interval between the teeth and
the Discrete model converges on continuous
model ? er or Ln (?) r Following are
equivalent r gt 0 ? gt 1 r 0 ?
1 rlt 0 ? lt 1
Trend
9
Geometric population growth
(population well below carrying capacity,
seasonal reproduction)
Nt1 (1rdt) Nt (1rdt) (1rdt-1) Nt-1
(1rdt) (1rdt-1) (1rdt-2) Nt-2 (1rdt)
(1rdt-1) (1rdt-2) (1rdt-3) Nt-3
What is the average growth rate?
10
Geometric population growth
(population well below carrying capacity,
seasonal reproduction)
What is average growth rate?
Arithmetic mean
Predict Nt1 given Nt-3 was 10
11
Geometric population growth
(population well below carrying capacity,
seasonal reproduction)
What is average growth rate?
Geometric mean (10.02) (1-0.02) (10.01)
(1-0.01)1/4 0.999875
Calculate Nt1 using geometric mean Nt1 ?4 x
10 (0.999875)4 x10 9.95
Nt1 (10.02) (1-0.02) (10.01) (1-0.01)
10 9.95
KEYPOINT Long term growth is determined by the
geometric not the arithmetic mean Geometric mean
is always less than the arithmetic mean
12
DETERMINISTIC POPULATION GROWTH
For a given No, r or rd and t The outcome is
determined
Eastern North Pacific Gray whales Annual
mortality rates estd at 0.089 Annual birth rates
estd at 0.13 rd0.13-0.89 0.041 ? 1.04
1967 shore surveys N 10,000 Estimated
numbers in 1968 N1 ? N0 ? Estimated
numbers in 1990 N23 ?23 N0 (1.04)23.
10,000 24,462

13
DETERMINISTIC POPULATION GROWTH
For a given No, r or rd and t The outcome is
determined

14
  • Population growth in eastern Pacific Gray Whales
  • fitted a geometric growth curve between
    1967-1980
  • - shore based surveys showed increases till mid
    90s


In US Pacific Gray Whales were delisted in 1994

15
SO what about variability in r due to good and
bad years? ENVIRONMENTAL STOCHASTICITY leads to
uncertainty in r acts on all individuals in same
way
\
Mean r
(?r)2
?r2 -
Variance in r ?2e
N
N
Bad 0 Good
b-d
16
Population growth environmental stochasticity
Deterministic 1r 1.06, ?2e 0
Expected
Ln N
1r 1.06, ?2e 0.05
t
Expected rate of increase is r- ?2e/2
17
Predicting the effects of greater environmental
stochasticity
Onager (200kg) Israel - extirpated early 1900s
- reintroduced 1982-7 - currently N gt 100
RS varies with Annual rainfall Survival lower
in droughts
18
Global climate change (GCC) is expected to ----gt
changes in mean environmental conditions ----gt
increases in variance (ie env. stochasticity)
Data from Negev
mean drought lt 41 mm
Pre-GCC Post-GCC
Mean rainfall is the same BUT Variance and
drought frequency is greater in post GCC
19
Simulating impact on populations via rainfall
impact on RS
Variance in rainfall Low High
Number of quasi-extinctions times popn
falls below 40
20
Simulating impact on populations adding impact on
survival
CONCn Environmental stochasticity can influence
extinction risk
21
But what about variability due to chance events
that act on individuals

Chance events can impact the breeding
performance offspring sex ratio and death of
individuals ---gt so population sizes can not be
predicted precisely
Demographic stochasticity
22
Demographic stochasticity
  • Dusky seaside sparrow
  • subspecies
  • non-migratory
  • salt marshes of southern Florida
  • decline DDT
  • flooding habitat for mosquito control
  • Habitat loss - highway construction
  • six left

All male Dec 1990 declared extinct
23
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26
Extinction rates of birds as a function of
population size over an 80-year period
60
10 breeding pairs 39 went extinct 10-100 pairs
10 went extinct 1000gtpairs none went extinct

Extinction
30





0



1 10 100 1000 10,000
Population Size (no. pairs)
Jones and Diamond. 1976. Condor 78526-549
27
random variation in the fitness of individuals
(?2d) produces random fluctuations in population
growth rate that are inversely proportional to
N demographic stochasticity ?2d/N expected
rate of increase is r - ?2d/2N
Demographic stochasticity is density
dependant
28
How does population size influence stochastic
processes?
Demographic stochasticity varies with N
Long term data from Great tits in Whytham Wood, UK
Environmental stochasticity is typically
independent of N
29
Partitioning variance
Species ?2d ?2e Swallow 0.18 0.024 Dippe
r 0.27 0.21 Great tit 0.57 0.079 Brown
bear 0.16 0.003
in large populations N gtgt ?2d /
?2e Environmental stochasticity is more
important Demographic stochasticity can be
ignored Ncrit 10 ?2d / ?2e (approx Ncrit
100)
30
Stochasticity and population growth
N0 50 ? 1.03
N Unstable eqm below which popn moves to
extinction
Simulations - ? 1.03, ?2e 0.04, ?2d
1.0 N ?2d /4 r - (?2e /2)
31
SUMMARY so far
  • Environmental stochasticity
  • fluctuations in repro rate and probability of
    mortality imposed by good and bad years
  • act on all individuals in similar way
  • Strong affect on ? in all populations
  • Demographic stochasticity
  • chance events in reproduction (sex ratio,rs) or
    survival acting on individuals
  • strong affect on ? in small populations
  • Catastrophes
  • unpredictable events that have large effects on
    population size (eg drought, flood, hurricanes)
  • extreme form of environmental stochasticity

Stochasticity can lead to extinctions even when
the mean population growth rate is positive
32
Key points Population growth is not
deterministic Stochasticity adds
uncertainty Stochasticity is expected to reduce
population growth Demographic stochasticity is
density dependant and less important when N is
large Stochasticity can lead to extinctions even
when growth rates are, on average, positive
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